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UDC636 Pr<strong>in</strong>t ISSN 1450-9156<br />

Onl<strong>in</strong>e ISSN 2217-7140<br />

VOL 28, 3<br />

Founder and publisher<br />

INSTITUTE FOR<br />

ANIMAL HUSBANDRY<br />

11080 Belgrade-Zemun<br />

Belgrade 2012<br />

BIOTECHNOLOGY<br />

IN ANIMAL HUSBANDRY<br />

CONTENTS<br />

Z. Pavlovski, Z. Škrbiæ, M. Lukiæ, D. Vitoroviæ, S. Liliæ, V. Petrièeviæ<br />

SHELL QUALITY – EVERLASTING PROBLEM IN THE TODAY POULTRY<br />

SCIENCE...................................................................................................................<br />

N. M<strong>in</strong>cheva, M. Lalev, M. Oblakova, P. Hristakieva, I. Ivanova<br />

EFFECT OF FEATHERING ALLELES (K/K + ) ON LAYING PERFORMANCE,<br />

HATCHABILITY PARAMETERS AND SOME BODY MEASUREMENTS IN<br />

TWO LINES OF WHITE PLYMOUTH ROCK HENS............................................<br />

N. Tolimir, L. Periæ, N. Miloševiæ, M. Ðukiæ – Stojèiæ, R. Jovanoviæ, V.<br />

Bogdanoviæ<br />

THE EFFECT OF PHASE NUTRITION DURING STARTER PERIOD ON<br />

PRODUCTION PERFORMANCES AND NITROGEN CONTENT IN FECES OF<br />

BROILERS OF DIFFERENT GENOTYPES...........................................................<br />

M. Ðukiæ Stojèiæ, N. Miloševiæ, L. Periæ, I. Jajiæ, N. Tolimir<br />

EGG QUALITY OF JAPANESE QUAIL IN SERBIA (Coturnix coturnix japonica)<br />

E.N.Uchewa,P.N.Onu..........................................................................................<br />

THE EFFECT OF FEED WETTING AND FERMENTATION ON THE<br />

PERFORMANCE OF BROILER CHICK.......................................................................<br />

M. Sahraei, H. Janmmohamadi, A. Taghi<strong>za</strong>deh, G. Ali Moghadam, S. A. Rafat<br />

ESTIMATION OF THE RELATIVE BIOAVAILABILITY OF SEVERAL ZINC<br />

SOURCES FOR BROILERS WHEN FED A CONVENTIONAL DIET.................<br />

V. Vidoviæ, D. Lukaè, M. Stupar, V. Višnjiæ, J. Krnjaiæ<br />

HERITABILITY AND REPEATABILITY ESTIMATES OF REPRODUCTION<br />

TRAITS IN PUREBRED PIGS.................................................................................<br />

È. Radoviæ, M. Petroviæ, N. Parunoviæ, N. Brkiæ, B. �ivkoviæ, M. Gogiæ, N.<br />

Stanišiæ<br />

THE EFFECT OF GENOTYPE AND YEAR ON TRAITS OF PERFORMANCE<br />

TESTED GILTS.........................................................................................................<br />

M. Popovac, D. Radojkoviæ, M. Petroviæ, M. Mijatoviæ, M. Gogiæ, D. Stanojeviæ,<br />

N. Stanišiæ<br />

HERITABILITY AND CONNECTIONS OF SOW FERTILITY TRAITS.............<br />

Ð. Okanoviæ, D. Ivanov, D. Paliæ, A. Mandiæ, N. Iliæ<br />

MEAT FATTY ACID PROFILE OF PIGS FED LINSEED ENRICHED DIET......<br />

R. Ðedoviæ , V. Bogdanoviæ, G. Trifunoviæ, M. Petroviæ, M. M. Petroviæ, D.<br />

Stanojeviæ<br />

THE EFFECT OF THE LEVEL OF MILK YIELD ON THE REPRODUCTION<br />

TRAITS IN BLACK AND WHITE COWS..............................................................<br />

D. Nikšiæ, V. Panteliæ, D. Ostojiæ-Andriæ, P. Perišiæ, M. Petrièeviæ, R. Ðedoviæ, M.<br />

La<strong>za</strong>reviæ<br />

RESULTS OF THE BIOLOGICAL TEST OF SIMMENTAL BULLS IN<br />

CENTRAL SERBIA..................................................................................................<br />

R.T. Gudaj, E. Brydl, J. Lehoczky, I. Komlósi<br />

STUDY OF ANIMAL WELFARE STATUS IN DAIRY COW HERDS IN<br />

HUNGARY................................................................................................................<br />

M.P.Petroviæ, V. Caro Petroviæ, D. Ru�iæ Musliæ, Z. Ilic, B. Miloseviæ,, J.Stojkoviæ,<br />

N. Maksimoviæ<br />

SOME IMPORTANT FACTORS AFFECTING FERTILITY IN SHEEP................<br />

D.Ru�iæ-Musliæ,M.P.Petroviæ,M.M.Petroviæ,Z.Bijeliæ,V.Panteliæ,P.Perišiæ,<br />

V. Caro-Petroviæ<br />

THE EFFECT OF THE SYSTEM OF CROSSING ON FATTENING<br />

PARAMETERS OF WEANED LAMBS.................................................................<br />

393<br />

405<br />

415<br />

425<br />

433<br />

441<br />

455<br />

463<br />

469<br />

477<br />

487<br />

497<br />

509<br />

517<br />

529


Z. Iliæ, J. Stojkoviæ, D. Ru�iæ Musliæ, V. Caro Petroviæ, M. P. Petroviæ, R. Djokoviæ,<br />

V. S. Kurèubiæ<br />

THE INFLUENCE OF BIOLOGICALLY ACTIVE SUPPLEMENT "BIORIL"ON<br />

PERFORMANCE OF FATTENING LAMBS............................................................<br />

J. Stojkoviæ, Z. Iliæ, S. Æiriæ, B. Ristanoviæ, M. P. Petroviæ, V. Caro Petroviæ, V.<br />

Kuræubiæ<br />

EFFICENCY OF ZEOLITE BASIS PREPARATION IN FATTENING LAMBS<br />

DIET.............................................................................................................................<br />

M. Joksimoviæ Todoroviæ, V. Davidoviæ, Lj. Sretenoviæ<br />

THE EFFECT OF DIET SELENIUM SUPPLEMENT ON MEAT QUALITY.........<br />

D. Trboviæ, D. Vraniæ, J. Dj<strong>in</strong>ovic-Stojanoviæ, V. Matekalo-Sverak, V. Djordjeviæ,<br />

J. Babiæ, D. Spiriæ, R. Petronijeviæ, A Spiriæ<br />

FATTY ACID PROFILE IN RAINBOW TROUT (ONCORHYNCHUS MYKISS)<br />

AS INFLUENCED BY DIET......................................................................................<br />

H. F. Abou-Shaara, A. A. Al-Ghamdi<br />

STUDIES ON wINGS SYMMETRY AND HONEY BEE RACES<br />

DISCRIMINATION BY USING STANDARD AND GEOMETRIC<br />

MORPHOMETRICs....................................................................................................<br />

S. Jankoviæ, S. Rakiæ, , J. Ikanoviæ, J. Kuzevski, Lj. �ivanoviæ, �. Lakiæ<br />

CORRELATION COEFFICIENTS OF MORPHOLOGICAL-PRODUCTIVE<br />

TRAITS OF SPECIES OF SORGHUM GENUS ......................................................<br />

S. Rakiæ, S. Jankoviæ, M. Dem<strong>in</strong> , D. Bucalo, M. Maslovariæ<br />

QUALITY AND CONDITION OF WHEAT GRAIN (Triticum spp.) DURING<br />

STORAGE....................................................................................................................<br />

A. Ak<strong>in</strong>femi<br />

UPGRADING OF SUGARCANE BAGASE BY SOLID STATE<br />

FERMENTATION WITH PLEUROTUS SAJOR-CAJU AND PLEUROTUS<br />

FLORIDA AND THE IMPACT ON THE CHEMICAL COMPOSITION AND IN<br />

VITRO DIGESTIBILITY............................................................................................<br />

Ya. Kozhouharov, V. L<strong>in</strong>gorski<br />

INFLUENCE OF MINERAL FERTILIZATION ON SOME BIOLOGICAL AND<br />

PRODUCTIVE INDICATORS OF NATURAL MEADOW OF AGROSTIS<br />

CAPILLARIS-FESTUCA FALLAX TYPE IN THE RHODOPE MOUNTAINS<br />

(SOUTHERN BULGARIA).......................................................................................<br />

S. Ðedovic, M. Vukša , M. M. Petroviæ, J. Bojkovski, I. Pavloviæ, G. Jokiæ, B.<br />

Stojniæ<br />

CONTROL OF BROWN RAT (Rattus norvegicus) ON A DAIRY FARM IN<br />

SERBIA........................................................................................................................<br />

537<br />

545<br />

553<br />

563<br />

575<br />

585<br />

595<br />

603<br />

613<br />

623


Journal for the Improvement of <strong>Animal</strong> <strong>Husbandry</strong><br />

UDC636 Pr<strong>in</strong>t ISSN 1450-9156<br />

Onl<strong>in</strong>e ISSN 2217-7140<br />

BIOTECHNOLOGY<br />

IN ANIMAL HUSBANDRY<br />

Belgrade - Zemun 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 393-633, 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636<br />

Editorial Council<br />

Prof. Dr Milica Petrović, president<br />

Prof. Dr Lidija Perić, full prof.<br />

Prof. Dr Vojislav Pavlović, full prof.<br />

Dr. Zoran Lugić, science advisor<br />

Editor’ s Office<br />

Prof. Dr. Mart<strong>in</strong> Wähner, Germany<br />

Dr. Branislav Živković, Serbia<br />

Dr. Mar<strong>in</strong> Todorov, Bulgaria<br />

Dr. Milan M. Petrović, Serbia<br />

Prof. Dr. Kazutaka Umetsu, Japan<br />

Prof. Dr. Dragan Glamočić, Serbia<br />

Prof. Dr. Vigilijus Jukna, Lithuania<br />

Dr. Elena Kistanova, Bulgaria<br />

Prof. Dr Zlatko Skalicki, full prof.<br />

Dr Miroslav Blagojević<br />

Dr Branka Vidić, science advisor<br />

Prof. Dr. Wladyslaw Migdal, Poland<br />

Prof. Dr. Col<strong>in</strong> Whitehead, United K<strong>in</strong>gdom<br />

Dr. Branislav Bobček, Slovak Republic<br />

Prof. Dr. Sandra Edwards, United K<strong>in</strong>gdom<br />

Dr. Vojislav Mihailović, Serbia<br />

Prof. Dr. Giacomo Biagi, Italy<br />

Prof. Dr. Stelios Deligeorgis, Greece<br />

Prof. Dr. Hasan Ulker, Turkey<br />

Dr. Catal<strong>in</strong> Dragomir, Romania<br />

On behalf of publisher<br />

Miloš Lukić, PhD, Research Fellow, Director of the <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun, Serbia<br />

Editor <strong>in</strong> Chief<br />

Zlatica Pavlovski, PhD, Science Advisor, <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun, Serbia<br />

Deputy Editor <strong>in</strong> Chief<br />

Zorica Tomić, PhD, Science Advisor, <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun, Serbia<br />

Editor<br />

Miloš Lukić, Ph.D, Research Fellow, <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun, Serbia<br />

Section Editors<br />

Genetics and breed<strong>in</strong>g<br />

Milan P. Petrović, Ph.D, science advisor<br />

Reproduction and management<br />

Miroslav Žujović, Ph.D, science advisor<br />

Nutrition and physiology of domestic animals<br />

Ljljana Sretenović, Ph.D, science advisor<br />

Language editor<br />

Olga Devečerski, grad. prof.<br />

Food safety, technology and quality of animal<br />

products<br />

Stevica Aleksić, Ph.D, science advisor<br />

Susta<strong>in</strong>ability of feed production and ecology<br />

Zorica Bijelić, Ph.D, research fellow<br />

Alternative production <strong>in</strong> livestock<br />

Zdenka Škrbić, Ph.D, senior research fellow<br />

Address of the Editor’s office<br />

<strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Autoput 16, P. Box 23, 11080 Belgrade-Zemun, Republic of Serbia<br />

Tel. 381 11 2691 611, 2670 121; Fax 381 11 2670 164; e-mail: biotechnology.izs@gmail.com; www.istocar.bg.ac.rs<br />

<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> is covered by Agricultural Information Services (AGRIS) -Bibliographic<br />

coverage of abstracts; Electronic Journal Access Project by Colorado Altiance Research Libraries -Colorado,<br />

Denver; USA; Matica Srpska Library -Referal Center; National Library of Serbia; University Library "Sveto<strong>za</strong>r<br />

Markovic", Belgrade, Serbia<br />

Accord<strong>in</strong>g to CEON bibliometrical analysis citation <strong>in</strong> SCI <strong>in</strong>dex 212, <strong>in</strong> ISI 9, impact factor (2 and 5) of<br />

journal <strong>in</strong> 2007: 0,667 and 0,467, - M24 category<br />

Annual subscription: for <strong>in</strong>dividuals -500 RSD, for organi<strong>za</strong>tions 1200 RSD, -foreign subscriptions 20 EUR. Bank<br />

account <strong>Institut</strong> <strong>za</strong> stočarstvo, Beograd-Zemun 105-1073-11 Aik banka Niš Filijala Beograd.<br />

Journal is published <strong>in</strong> four issues annually, circulation 100 copies.<br />

The publication of this journal is sponsored by the M<strong>in</strong>istry of Education and Science of the Republic of Serbia.<br />

Pr<strong>in</strong>ted: "Mladost birošped", Novi Beograd, St. Bulevar AVNOJ-a 12, tel. 381 11 2601-506


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p, 393-404, 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 637.05<br />

DOI: 10.2298/BAH1203393P<br />

SHELL QUALITY – EVERLASTING PROBLEM IN THE<br />

TODAY POULTRY SCIENCE<br />

Z. Pavlovski 1 , Z. Škrbić 1 , M. Lukić 1 , D. Vitorović 2 , S. Lilić 3 ,<br />

V. Petričević 1<br />

1 <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Autoput 16, P.Box 23, 11080 Belgrade, Republic of Serbia<br />

2 Faculty of Agriculture, University of Belgrade, Nemanj<strong>in</strong>a 6, 11080 Belgrade, Republic of Serbia<br />

3 <strong>Institut</strong>e of Meat Hygiene and Technology, Kaćanskog 13, Beograd, Republic of Serbia<br />

Correspond<strong>in</strong>g author: zlaticapav@yahoo.com<br />

Review paper<br />

Abstract: Shell breakage (6-20%) is of major concern for its economic<br />

consequences and safety of egg consumption. A great deal of effort <strong>in</strong> the fields of<br />

nutrition, genetics and enviromental conditions have been carried out to improve<br />

eggshell quality but understand<strong>in</strong>g the formation of the eggshell fabric and the<br />

orig<strong>in</strong> of shell defects is perhaps the key to solv<strong>in</strong>g eggshell problems. The aim of<br />

this review is to summarise new <strong>in</strong>formation on eggshell problems. The aim of this<br />

review is to summarise new <strong>in</strong>fotmation on eggshell formation and update the<br />

nutritional unfavourable enviromental conditions.<br />

Keywords: Egg production, shell quality, problem, possible solutions<br />

Introduction<br />

The quality of the egg shell is still a major concern of many participants <strong>in</strong><br />

the poultry production cha<strong>in</strong>, producers of table eggs and hatch<strong>in</strong>g egg producers.<br />

The successful development of a chicken embryo depends on the quality of the egg<br />

shell, i.e. its robustness for the purpose of protection, protection from <strong>in</strong>fection and<br />

water loss from the egg, and most importantly, it is a source of calcium for the<br />

formation of the skeleton of the embryo (Lavel<strong>in</strong> et al., 2000). On the other hand,<br />

<strong>in</strong> the commercial production and market<strong>in</strong>g, table eggs are exposed to many<br />

shocks affect<strong>in</strong>g percentage of broken and cracked eggs and thus directly affect<strong>in</strong>g<br />

the economic losses of the producer. In addition, there is grow<strong>in</strong>g concern about<br />

the safety (hygiene compliance) of eggs, as the egg shell is the first barrier aga<strong>in</strong>st<br />

bacterial penetration of the egg and therefore must be free of defects. Ban on cage<br />

system of hous<strong>in</strong>g hens <strong>in</strong> the EU, also <strong>in</strong>creases the risk of <strong>in</strong>fection from


394<br />

Z. Pavlovski et al.<br />

Salmonella, etc., so <strong>in</strong> that sense, the eggshell quality is very important (Nys,<br />

2001).<br />

Shell breakage is still a major concern of egg producers, because 80 to<br />

90% of the eggs deficiencies relates to eggshell. Defects <strong>in</strong>clude eggs without shell<br />

that are rarely observed and not counted <strong>in</strong> the number of fresh laid eggs, and the<br />

eggs that acquired defects <strong>in</strong> body before oviposition which may be partially and<br />

completely removed. The defective eggs <strong>in</strong>clude eggs irregular shape, eggs with<br />

partially th<strong>in</strong> shell and eggs with a rugged shell (Bell, 1998). Shell eggs differ<br />

depend<strong>in</strong>g on the chicken breed or hybrid, flock age, season, oviposition and<br />

between chickens <strong>in</strong> the same flock.<br />

Egg shell is a highly organized m<strong>in</strong>eral structure built of spherical calcite<br />

crystals deposited on the outer surface of the membrane around egg white. Crystals<br />

of calcium carbonate (<strong>in</strong> the form of calcite) are formed by crystalli<strong>za</strong>tion from<br />

supersaturated solution of secretion from the distal fallopian tube - uterus. Layers<br />

take about 20 hours to form a shell, which shows the huge requirements for<br />

cont<strong>in</strong>uous supply of required quantities of calcium. Every <strong>in</strong>terruption <strong>in</strong> calcium<br />

supply to uterus leads to a decl<strong>in</strong>e <strong>in</strong> the quality of the shell and further economic<br />

losses.<br />

Harms et al. (1996) report that approximately 6-8% of the total egg production is<br />

not usable/markatable due to poor quality of shells, and Roland (1988) po<strong>in</strong>ts out<br />

that 12-13% of eggs are lost on the way from the producer to the consumer for the<br />

same reasons. The ability of eggshell to withstand the impact of the external force<br />

is the strength of the shell (Hamilton, 1982). Many factors <strong>in</strong>fluence the quality of<br />

the shell, and its strength, such as genetic basis, layer hen age, nutrition,<br />

environmental conditions, disease, etc. (Washbourne, 1982; Vitorović et al., 1995,<br />

Roberts and Nolan, 1997; Daghir 2004, Zhang et al., 2005, Pavlovski et al., 2012).<br />

Eggs of better quality of egg shell are laid <strong>in</strong> the afternoon period compared to the<br />

morn<strong>in</strong>g (Pavlovski and Vitorović, 1996; Škrbić et al., 1998; Tumova et al., 2007).<br />

The ma<strong>in</strong> source of calcium <strong>in</strong> the hens diet is the f<strong>in</strong>ely ground limestone, chalk.<br />

Shell formation takes place dur<strong>in</strong>g the night and then layers consume less or not at<br />

all food and calcium needs are not adequately met. The problem of the quality of<br />

the egg shell over last 30 years, and it is still current, is subject of numerous studies<br />

s<strong>in</strong>ce broken egg shell depends not only on the strength of the shell, but also on<br />

shell thickness and strength of "attack" on it.<br />

In this paper, we focus on the formation of the egg shell, shell quality<br />

problems and possible solutions for improv<strong>in</strong>g the quality of the shell.<br />

Form<strong>in</strong>g of the eggshell<br />

Eggshell is formed <strong>in</strong> the uterus, expanded section of fallopian tubes called<br />

the shell gland. After fertili<strong>za</strong>tion of the egg <strong>in</strong> the <strong>in</strong>fundibulum and secretion of


Shell quality – everlast<strong>in</strong>g problem <strong>in</strong> ...<br />

egg white <strong>in</strong> the magnum, the egg enters the isthmus (narrow<strong>in</strong>g of the tubes) 2 to<br />

3 h after ovulation. In the isthmus, granular cells secrete various components of the<br />

shell membranes such as type X collagen. In utero, from the supersaturated<br />

solution of calcium carbonate (about 5 to 6 g) the crystals are formated that are<br />

deposited <strong>in</strong> layers on the surface of the th<strong>in</strong> outer membrane prote<strong>in</strong>. The quality<br />

of the shell formed to a large extent depends on the size and shape of crystals on<br />

the one hand and on the other on the <strong>in</strong>teraction of calcium carbonate and organic<br />

matrix.<br />

A large number of matrix macromolecules have only recently been discovered and<br />

identified. In the uter<strong>in</strong>e fluid and organic shell secretions three types of prote<strong>in</strong>s<br />

have been discovered: egg white prote<strong>in</strong>s (lysozyme, ovotransferr<strong>in</strong>, ovalbum<strong>in</strong>),<br />

osteopont<strong>in</strong>, which was first identified <strong>in</strong> bone and uter<strong>in</strong>e prote<strong>in</strong>s that are unique<br />

to the process of form<strong>in</strong>g of shell: ovocleid<strong>in</strong> 17, 116; ovocalyx<strong>in</strong> 32 (Nys et al.,<br />

2000). Egg white prote<strong>in</strong>s are located <strong>in</strong> the membranes of the egg. They can<br />

participate <strong>in</strong> the fight aga<strong>in</strong>st microorganisms because of their microbial activity,<br />

and lysozyme and ovotransferr<strong>in</strong> can affect the size and morphology of calcite<br />

crystals when the crystals grow <strong>in</strong> vitro <strong>in</strong> the presence of these prote<strong>in</strong>s. It is<br />

assumed that greater prote<strong>in</strong> participation <strong>in</strong> the eggshell affects the morphology of<br />

the shell and the quality. It is known that the shell quality <strong>in</strong> older hens is worse<br />

and shell breakage <strong>in</strong>creased. The decl<strong>in</strong>e <strong>in</strong> shell thickness with the age of the<br />

hens is related to the <strong>in</strong>ability to reduce shell weight. Prelim<strong>in</strong>ary research <strong>in</strong>dicates<br />

that <strong>in</strong> the egg shell from older hens there are more matrix prote<strong>in</strong>s. Further<br />

research <strong>in</strong> this area should confirm the hypothesis that matrix prote<strong>in</strong>s play a role<br />

<strong>in</strong> the formation of the shell. Feed<strong>in</strong>g hens rema<strong>in</strong>s of utmost importance, because<br />

it is the only supplier of <strong>in</strong>organic substances necessary for the formation of the<br />

shell.<br />

Eggshell defects<br />

Common defects (deficiencies) of eggshell that may result <strong>in</strong> the economic<br />

loss <strong>in</strong> the production of eggs (Egg Quality A Practical Approach, Roche) are:<br />

large cracks, th<strong>in</strong> l<strong>in</strong>e fissures, rough cracks, eggs of deformed shape, equilateral<br />

egg, eggs covered with cracks, pimply shells.<br />

Measur<strong>in</strong>g of the quality<br />

Research literature abounds with research on the effects of nutrition, light<br />

regime, population density, genetic bases and similar on the quality of the shell, but<br />

what is the quality of the shell and how is it measured?<br />

Of the physical properties of the eggshell the follow<strong>in</strong>g traits are measured <strong>in</strong> order<br />

to improve the quality of the shell:<br />

395


396<br />

Z. Pavlovski et al.<br />

EGGSHELL WEIGHT, SHELL DEFORMATION, BREAKING FORCE<br />

EGG LENGTH / WIDTH = EGG SHAPE INDEX<br />

TOTAL SHELL THICKNESS<br />

THICKNESS OF THE MAMMILARY LAYER<br />

EFFECTIVE THICKNESS<br />

FRACTURE TOUGHNESS<br />

SPECIFIC WEIGHT<br />

The right choice of the measure br<strong>in</strong>gs us to the real conclusion of the factors<br />

<strong>in</strong>fluenc<strong>in</strong>g the quality of the eggshell and other aspects of the quality of the<br />

product.<br />

Possible solutions<br />

Control of egg mass (shell). Egg mass is still of paramount importance for<br />

the ma<strong>in</strong>tenance of good eggshell quality. Egg masses can be reduced by a lower<br />

total amount of prote<strong>in</strong> <strong>in</strong> the diet (19/15mg/day) or methion<strong>in</strong>e levels (500/200 mg<br />

/ day), but it can adversely affect the level of production. Supplement<strong>in</strong>g 0.25 or<br />

0.5% of amido ethyl-sulfonic acid <strong>in</strong> powder form for lay<strong>in</strong>g hens decreases the<br />

egg mass and has no effect on production traits, but there is no <strong>in</strong>formation whether<br />

there is any effect on the share of eggshell. The energy level can not be<br />

manipulated, but there is abundant <strong>in</strong>formation <strong>in</strong> the literature describ<strong>in</strong>g the<br />

<strong>in</strong>fluence of the fat on the egg mass. Add<strong>in</strong>g 4% of fat affects the egg mass at the<br />

start of production (Grobas, 1999), but at the end of production, add<strong>in</strong>g fat should<br />

be avoided, so the mass of the eggs would not be <strong>in</strong>creased. Vegetable oils are rich<br />

<strong>in</strong> unsaturated fatty acids and 0.81% l<strong>in</strong>oleic acid (Harms et al., 2000) positively<br />

affect egg mass. Us<strong>in</strong>g more saturated fatty acids (palm oil) and add<strong>in</strong>g l<strong>in</strong>oleic<br />

acid <strong>in</strong> quantities that meet the daily needs of normal hens physiological function<br />

(0.8%), are alternatives with which to control the <strong>in</strong>crease <strong>in</strong> weight with age of<br />

lay<strong>in</strong>g hens, especially when egg mass reduction does not reflect the change <strong>in</strong><br />

mass of the eggshell.<br />

Calcium <strong>in</strong> the diet of chickens. In rear<strong>in</strong>g chickens (8-16 weeks of age) the<br />

calcium requirements range from 0.9 to 1,1%. Excessive doses of calcium <strong>in</strong> food<br />

for longer period is not recommended because it can cause depression <strong>in</strong> the<br />

growth of hens and kidney damage and <strong>in</strong>creased mortality (Hamilton and Cipera,<br />

1981). The most important period <strong>in</strong> the rear<strong>in</strong>g is when the young hens become<br />

lay<strong>in</strong>g hens. Calcium levels need to be <strong>in</strong>creased two weeks before the lay<strong>in</strong>g starts<br />

to facilitate the development of medullary bone, and more importantly to avoid that<br />

hen lays the first egg without the addition of calcium <strong>in</strong> the diet that could result <strong>in</strong><br />

negative calcium balance that is difficult to correct later. Delays <strong>in</strong> the <strong>in</strong>troduction<br />

of a greater share of calcium has a negative effect on the quality of the egg shell of<br />

the first laid egg and throughout the lay<strong>in</strong>g period has a negative impact on the


Shell quality – everlast<strong>in</strong>g problem <strong>in</strong> ...<br />

quality of the shell (Roland, 2000). Today, hens mature sexually much earlier and<br />

therefore produce their first egg before they move <strong>in</strong>to a facility for hens which<br />

should co<strong>in</strong>cide with the <strong>in</strong>troduction of a meal for layers. Therefore, it is<br />

recommended to add 2.5 to 3.5% calcium <strong>in</strong> the diet prior to beg<strong>in</strong>n<strong>in</strong>g of lay<strong>in</strong>g,<br />

that is, from 14 to 16 weeks of age of young hens.<br />

Daily consumption of calcium by layers of is 2.2 g hence, the calcium<br />

requirements are 4g. If the level of calcium <strong>in</strong> the diet is below 3%, it <strong>in</strong>creases the<br />

mortality and reduces the production of eggs, which has been confirmed <strong>in</strong> their<br />

research by Keshavarz (1998 a, b) and Chandramoni et al. (1998). Optimal quality<br />

of eggshell was determ<strong>in</strong>ed <strong>in</strong> eggs from hens fed with a diet conta<strong>in</strong><strong>in</strong>g more than<br />

3.5% calcium <strong>in</strong> layers of brown shell eggs (Vitorović et al., 1995; Safaa et al,<br />

2008) and 4 to 4.5 g per day (Scott et al., 1999). Selection of hens for large number<br />

of eggs is associated with a daily production of eggs, where more eggs are laid <strong>in</strong><br />

the morn<strong>in</strong>g or before the light is turned on (80% of the new-laid eggs 11 hours<br />

subsequent to turn<strong>in</strong>g off of the lights, i.e. 3h after lights are turned on). Thus,<br />

eat<strong>in</strong>g <strong>in</strong> the morn<strong>in</strong>g can not ensure a normal supply of calcium to form a shell<br />

that is over 1.5 h before oviposition. Introduc<strong>in</strong>g the midnight feed<strong>in</strong>g of hens<br />

improves synchroni<strong>za</strong>tion between calcium <strong>in</strong>take and the formation of shells and<br />

shell quality, especially when you <strong>in</strong>troduce the <strong>in</strong>termittent light (2 h) at night and<br />

only when the l<strong>in</strong>e for feed<strong>in</strong>g of hens is on.<br />

The particle size of calcium. The ma<strong>in</strong> source of calcium <strong>in</strong> lay<strong>in</strong>g hens<br />

feed is the f<strong>in</strong>ely ground limestone, chalk. Eggshell formation takes place ma<strong>in</strong>ly at<br />

night, when hens consume less or do not consume food at all, and calcium needs<br />

were not be<strong>in</strong>g met sufficiently. On of the ma<strong>in</strong> factors <strong>in</strong>fluenc<strong>in</strong>g the quality of<br />

the eggshell is particle size of calcium and this problem has been present <strong>in</strong> the last<br />

30 years, and is the subject of numerous studies. In order to overcome it,<br />

replacement of a part of chalk <strong>in</strong> the mixture is recommended, with marble of<br />

larger particles (Gu<strong>in</strong>ot and Nys 1991; Roberts and Nolan, 1997; Pavlovski et al.,<br />

2000; Pavlovski et al., 2006; Amer et al., 2007; Pavlovski et al., 2008). Larger<br />

marble particles slowly dissolve is <strong>in</strong> the digestive tract and calcium becomes<br />

available dur<strong>in</strong>g the even<strong>in</strong>g and night periods. In contrast, f<strong>in</strong>ely ground limestone<br />

dissolves rapidly and is used <strong>in</strong> few hours.<br />

Phosphorus. Numerous studies show that <strong>in</strong> the rear<strong>in</strong>g period, different<br />

levels (0.2 to 0.3%) do not affect the quality of the first egg or bone m<strong>in</strong>erali<strong>za</strong>tion.<br />

Shell quality decreases with <strong>in</strong>creased level of accessible phosphorus <strong>in</strong> the diet. In<br />

the warm period of the year, the need for phosphorus <strong>in</strong> layers <strong>in</strong>creases and if it is<br />

below 0.25% mortality of hens and shell breakage <strong>in</strong>crease. Recommended<br />

quantity is 350 mg/day/hen to ma<strong>in</strong>ta<strong>in</strong> skeleton of hens. The low level of<br />

phosphorus <strong>in</strong> feed reduces the need for calcium lead<strong>in</strong>g to bone problems and<br />

poor quality of eggshell. This can be partially improved by add<strong>in</strong>g large particles of<br />

marble (Nys 1995).<br />

397


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Z. Pavlovski et al.<br />

Magnesium. Magnesium deficiency (less than 0.21%) <strong>in</strong>fluence number of<br />

laid eggs and the shell quality. Food for lay<strong>in</strong>g hens should conta<strong>in</strong> 0.16%, which<br />

is four times more than the needs of lay<strong>in</strong>g hens (0.4%) (Vogt et al., 1984). In fact,<br />

there is no set amount of magnesium, which is added to the diet because plant<br />

nutrients such as bran, sunflower, rapeseed, conta<strong>in</strong> enough Mg and therefore there<br />

is no <strong>in</strong>formation whether, by add<strong>in</strong>g of these to food, the quality of the eggshell<br />

can be improved or worsen, except levels greater than 0.77% (Eng<strong>in</strong>er<strong>in</strong>g, Arttech<br />

and Leeson, 1983). In any case, the excess Mg <strong>in</strong> the diet (greater than 0.6%)<br />

affects the <strong>in</strong>creased consumption of water, which can lead to an <strong>in</strong>crease <strong>in</strong> the<br />

number of dirty eggs.<br />

Microelements. The ma<strong>in</strong> trace elements to form eggshell are manganese<br />

and copper. The lack of Cu <strong>in</strong> the diet affects negatively the biochemical and<br />

mechanical properties of the eggshell membrane and thus leads to deformation of<br />

egg shape (Chowdury, 1990). Mn deficit <strong>in</strong> the diet for lay<strong>in</strong>g hens (below 7mg)<br />

causes th<strong>in</strong>ner shell, partly due to the deterioration of see-through spots due to<br />

worsen<strong>in</strong>g of the ultra shell structure <strong>in</strong> the mammalian layer and reduction of the<br />

concentration of the polysaccharides which are precursors of matrix prote<strong>in</strong>s. In the<br />

literature there are no data that the Zn deficit <strong>in</strong> food affects the formation of the<br />

shell, but it is known that the amount of Zn below 10mg/kg reduces the number of<br />

fresh laid eggs. The Zn deficit <strong>in</strong> the same amount decreases the weight of hens,<br />

egg production, the number of newly hatched chicks, hens plumage form<strong>in</strong>g, but<br />

there is no negative impact on the quality of the eggshell.<br />

Food for lay<strong>in</strong>g hens conta<strong>in</strong><strong>in</strong>g 30mg/kg Zn, 20mg/kg Mn and 6mg/kg Cu<br />

is not sufficient to meet the needs of hens, therefore other sources mentioned of<br />

microelements must be provided (Zamani et al., 2005), <strong>in</strong>clud<strong>in</strong>g Fe and Co. The<br />

deficit of these elements affects the reduction of shell mass. Abdllah et al. (1994)<br />

consider this to be due to Mn deficiency. The amount of Mn 70-100mg/kg provides<br />

good quality eggshell strength and thickness (Faria et al., 1999).<br />

The content of Cu <strong>in</strong> the amount of 70-140 mg/kg reduces the eggshell<br />

thickness. Attempts to improve the quality of the shell by add<strong>in</strong>g boron (100 mg /<br />

kg), vanadium (20 mg/kg) or fluoride (6-20 mg/kg) did not provide conv<strong>in</strong>c<strong>in</strong>g<br />

results. The metals such as nickel (100-500mg/kg) , chromium (500-2000mg/kg) or<br />

lead (20-100mg/kg) reduce the mass of eggshell (Meluzzi et al., 1996).<br />

Selenium supplementation to the diets of hens up to 0.8 mg/kg <strong>in</strong> order to<br />

produce functional foods has no negative effect on the quality of the eggshell<br />

(Pavlović et al., 2010).<br />

It can be said that of all the trace elements, Mn has the lead<strong>in</strong>g role <strong>in</strong><br />

improv<strong>in</strong>g the strength of the shell. If it is added to hen feed <strong>in</strong> the amount of 60-<br />

60-10 mg / kg, Mn, Zn and Cu the break<strong>in</strong>g force is <strong>in</strong>creased, but not deformation<br />

and the eggshell mass (Mabe et al., 2003).<br />

Electrolytes. The Na (less than 0.1%) and chloride deficit (less than 0.11%)<br />

<strong>in</strong> the diet for hens adversely affect egg production and shell quality, and on the


Shell quality – everlast<strong>in</strong>g problem <strong>in</strong> ...<br />

other hand any excess chloride <strong>in</strong> food (0.75 to 0.8%) has a detrimental effect on<br />

the quality of the shell (Gezen et al., 2005). The presence of NaCl <strong>in</strong> water supply<br />

for hens (2 g/l) affects the reduction <strong>in</strong> eggshell quality (Chen and Balnave, 2001).<br />

In regard to the new system of hous<strong>in</strong>g of hens <strong>in</strong> accordance with EU regulations,<br />

hens are able to get directly <strong>in</strong> touch with the waste which <strong>in</strong>creases the number of<br />

dirty eggs. In this case, if the food conta<strong>in</strong>s 1.6 to 5.5 g / kg of Na and 2.3 to 7.5 g<br />

/ kg K, it results <strong>in</strong> <strong>in</strong>creased water consumption and large amounts of waste and<br />

as a consequence more dirty eggs.<br />

Other nutrients. It is known that alum<strong>in</strong>osilicates, vitam<strong>in</strong>s C and E<br />

improve eggshell quality. Vitam<strong>in</strong> D3 <strong>in</strong> the amount of 400 IU <strong>in</strong>creases the<br />

number of eggs and improves shell quality (Whitehead, 1996). Seven (2008)<br />

reported the positive effects of added vitam<strong>in</strong> C on the mass and egg shell<br />

thickness <strong>in</strong> heat stress conditions, contrary to the results of research Supić et al.<br />

(1997).<br />

Numerous studies concerne the use of zeoilite <strong>in</strong> poultry nutrition. Sodium<br />

alum<strong>in</strong>osilicate (zeolite, 0.75 or 1.5%) improves egg specific mass, and this was<br />

confirmed <strong>in</strong> 77% of the 35 papers presented (Nys, 2001), especially when the Ca<br />

level <strong>in</strong> the diet was 2.75%. There is def<strong>in</strong>itely a positive effect on the quality of<br />

the shell, and yet there are still concerns about its use <strong>in</strong> poultry nutrition and a<br />

positive effect on the quality of eggshell. Absorption of 10 to 25% alum<strong>in</strong>um and<br />

40% silicon <strong>in</strong> the <strong>in</strong>test<strong>in</strong>es of hens orig<strong>in</strong>at<strong>in</strong>g from the sodium zeolite limits the<br />

use of this additives (Roland et al., 1993).<br />

Acknowledgment<br />

Research was part of the project TR 31033, f<strong>in</strong>anced by the M<strong>in</strong>istry of<br />

Education, Science and Technological Development of the Republic of<br />

Serbia.<br />

Ljuska – aktuelni problem u živ<strong>in</strong>arstvu<br />

Z. Pavlovski, Z. Škrbić, M. Lukić, D. Vitorović, S. Lilić, V. Petričević<br />

Rezime<br />

Lom ljuske (6-20%) problem je od velikog značaja sa stanovišta<br />

ekonomskih posledica i bezbednosti jaja u ishrani. U oblasti ishrane, genetike i<br />

uslova životne sred<strong>in</strong>e se č<strong>in</strong>e veliki napori kako bi se poboljšao kvalitet ljuske<br />

jajeta, ali razumevanje procesa nastanka ljuske i porekla defekata ljuske predstavlja<br />

399


400<br />

Z. Pavlovski et al.<br />

ključ <strong>za</strong> razumevanje ovog problema. Cilj ovog preglednog rada je da se rezimiraju<br />

nova saznanja i <strong>in</strong>formacije o pitanjima ljuske jajet, kao i ažuriraju novi nepovoljni<br />

prehrambeni i uslovi životne sred<strong>in</strong>e.<br />

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(2007): The effect of oviposition time and genotype on egg quality<br />

characteristics <strong>in</strong> egg type hens. Czech Journal of <strong>Animal</strong> Science, 52, 26–30.<br />

VITOROVIĆ D., PAVLOVSKI Z., NIKOLOVSKI J., DJURDJEVIĆ Z.,<br />

TODOROVIĆ M. (1995): Kvalitet ljuske i dalje aktuelan problem<br />

savremenog živ<strong>in</strong>arstva. IV Medjunarodni simpozijum "Novi pravci razvoja<br />

stočarstva", Beograd, Biotehnologija u stočarstvu 3-6, 301-306.<br />

VOGT X., DEWAR W.A., SAUVEUR B., SIMONS P.C.M. (1984):<br />

M<strong>in</strong>eral requirements and recommendations for adult birds. World's Poultry<br />

Science Journal 40, 183.<br />

WASHBOURN K. (1982): Incidence, cause and prevention of egg shell breakage<br />

<strong>in</strong> commercial production. Poulttry Science 61: 2005-2012.<br />

WHITEHEAD C.C. (1996): Nutrition and bone disorders <strong>in</strong> poultry.<br />

Proceed<strong>in</strong>gs of XX World’s Poultry Congress, New Delhi, Vol. II, 161-171.<br />

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404<br />

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ZAMANI A., RAHMANI H.R., POURREZA H.R. (2005): Eggshell quality<br />

is improved by excessive dietary z<strong>in</strong>c and manganese. Proceed<strong>in</strong>gs of 15 th<br />

European Symposium on Poultry Nutrition, Balatonfured, Hungary, 520-522.<br />

ZHANG L.C., NING Z.H., XU G.Y., HOU Z.C., YANG N. (2005):<br />

Heritabilities and genetic and phenotypic correlations of egg quality traits <strong>in</strong><br />

brown-egg dwarf layers. Poultry Science 84: 1209-1213.<br />

Received 14 April 2012; accepted for publication 21 August 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 405-414 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.034<br />

DOI: 10.2298/BAH1203405M<br />

EFFECT OF FEATHERING ALLELES (K/K + ) ON LAYING<br />

PERFORMANCE, HATCHABILITY PARAMETERS AND<br />

SOME BODY MEASUREMENTS IN TWO LINES OF<br />

WHITE PLYMOUTH ROCK HENS<br />

N. M<strong>in</strong>cheva, M. Lalev, M. Oblakova, P. Hristakieva, I. Ivanova<br />

Agricultural <strong>Institut</strong>e - Stara Zagora, Bulgaria<br />

Correspond<strong>in</strong>g author:nm<strong>in</strong>cheva@abv.bg<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: The study aimed to <strong>in</strong>vestigate the effects of sex – l<strong>in</strong>ked<br />

feather<strong>in</strong>g alleles on lay<strong>in</strong>g performance, hatchability parameters and body<br />

measurements <strong>in</strong> hens from two White Plymouth Rock l<strong>in</strong>es (l<strong>in</strong>e L and l<strong>in</strong>e K)<br />

used as maternal l<strong>in</strong>es <strong>in</strong> broiler production. Four groups of 18-week-old hens were<br />

formed, two of each l<strong>in</strong>e, with genotype K/W (slow feather<strong>in</strong>g) and k + /W (rapid<br />

feather<strong>in</strong>g) respectively. Groups of l<strong>in</strong>e L <strong>in</strong>cluded 72 hens divided <strong>in</strong>to 6 boxes<br />

with 1 rooster per 12 hens, whereas l<strong>in</strong>e K groups comprised 96 hens of each<br />

genotype, housed <strong>in</strong> 8 boxes with one rooster per 12 hens, totally 192 birds.The K<br />

locus alleles had no significant effect on egg production traits (p>0.05). The<br />

presence of slow feather<strong>in</strong>g allele resulted <strong>in</strong> lower fertility and hatchability of set<br />

eggs <strong>in</strong> both studied l<strong>in</strong>es (p


406<br />

N. M<strong>in</strong>cheva et al.<br />

sex<strong>in</strong>g is more efficient and less stressful (Harris et al., 1984,; Wilson et al., 2007).<br />

For this purpose, roosters with k + /k + genotype are mated to K/W hens, result<strong>in</strong>g <strong>in</strong><br />

slow feather<strong>in</strong>g of one-day-old male chicks and rapid feather<strong>in</strong>g <strong>in</strong> female one-dayold<br />

chicks. The autosex<strong>in</strong>g allows a rapid identification of the sex of chicks without<br />

any special tra<strong>in</strong><strong>in</strong>g or sexoscopes, with m<strong>in</strong>imum <strong>in</strong>accuracy.<br />

The utilisation of the dom<strong>in</strong>ant K allele (slow feather<strong>in</strong>g) <strong>in</strong> the maternal<br />

l<strong>in</strong>e for production of autosex<strong>in</strong>g chicks dist<strong>in</strong>guished by feather<strong>in</strong>g rate could, <strong>in</strong><br />

the belief of some researchers, be l<strong>in</strong>ked to an unfavourable effect on sexual<br />

maturity (Verma and S<strong>in</strong>gh, 1983; Harris et al., 1984; O’Sullivan et al., 1991;<br />

N<strong>in</strong>g et al., 2005; Abd El-Rahman, 2006), egg production (Lowe and Garwood,<br />

1981; Saleh et al., 1987; Havenste<strong>in</strong> et al., 1989; Abd El-Rahman. 2006; Wilson et<br />

al., 2007; Durmus et. al, 2010), livability (Bacon et al., 1988; Alsobayel and Al –<br />

Muhlem, 1997), feed conversion (Белоречков & Алиуи, 1986) and reproduction<br />

(O’Sullivan et al., 1991), although others did not show any differences between<br />

slow- and rapid feather<strong>in</strong>g hens <strong>in</strong> these parameters (Dunn<strong>in</strong>gton and Siegel, 1986;<br />

N<strong>in</strong>g and Chen; 1988; Prijono and Smith, 1994; Холодков, 2004; Younis and<br />

Galal, 2006; Ledv<strong>in</strong>ka et al., 2011).<br />

In the view of Chambers et al. (1993) the contradictory results suggest an<br />

<strong>in</strong>teraction of the K allele with other genes from the genome. For <strong>in</strong>stance, Bacon<br />

et al. (1988) established a close relationship between the K slow feather<strong>in</strong>g gene<br />

and ev 21 gene <strong>in</strong> a White Leghorn l<strong>in</strong>e and this way expla<strong>in</strong>ed the lower egg<br />

productivity and livability <strong>in</strong> the offspr<strong>in</strong>g of birds with the slow feather<strong>in</strong>g<br />

genotype. On the other side, Dunn<strong>in</strong>gton and Siegel (1986) outl<strong>in</strong>e as a possible<br />

cause for contradictory results the effect of K gene on some biological factors such<br />

as heat <strong>in</strong>sulation properties of vane feathers, and the genetic orig<strong>in</strong> of studied<br />

populations.<br />

Our observations have demonstrated the presence of a slow feather<strong>in</strong>g K<br />

gene <strong>in</strong> two White Plymouth Rock l<strong>in</strong>es. One of the ma<strong>in</strong> prerequisites of us<strong>in</strong>g<br />

marker K locus genes is the lack of negative impact on production traits of hybrids,<br />

and therefore, the knowledge on effects of K/k + alleles on productivity is essential<br />

for breed<strong>in</strong>g programmes.<br />

Tak<strong>in</strong>g <strong>in</strong>to consideration the contradictory results, we aimed to establish<br />

the effect of sex-related alleles for feather<strong>in</strong>g rate on some production traits,<br />

morphological and <strong>in</strong>cubation traits of eggs and exterior traits <strong>in</strong> hens from these<br />

two l<strong>in</strong>es.<br />

Materials and methods<br />

The experiment was performed <strong>in</strong> the selection base of the Poultry<br />

Breed<strong>in</strong>g Unit at the <strong>Institut</strong>e of Agriculture – Stara Zagora <strong>in</strong> 2009–2010.


Effect of feather<strong>in</strong>g alleles (k/K + ) on lay<strong>in</strong>g performance ...<br />

Two orig<strong>in</strong>al White Plymouth Rock l<strong>in</strong>es of chickens were used as maternal forms<br />

for broiler production – l<strong>in</strong>e L and l<strong>in</strong>e K.<br />

In the progeny of these l<strong>in</strong>es, the sex of day-old chicks was determ<strong>in</strong>ed<br />

with sexoscope, the feather<strong>in</strong>g rate was evaluated accord<strong>in</strong>g to the w<strong>in</strong>g feather<strong>in</strong>g<br />

speed, and the chicks were w<strong>in</strong>g - banded. At the age of 10 days their tail feathers<br />

were checked. Chicks without tail feathers were slow feather<strong>in</strong>g. For l<strong>in</strong>e L, the<br />

frequency of slow and rapid feather<strong>in</strong>g genotypes <strong>in</strong> female chicks was 79.70% and<br />

20.30%, respectively. In female chicks from l<strong>in</strong>e K, the rapid feather<strong>in</strong>g genotype<br />

was encountered at a frequency of 69.40%, whereas the slow feather<strong>in</strong>g genotype –<br />

at 30.60%. Chicks from each l<strong>in</strong>e and genotype were housed uniformly, on a deep<br />

wood shav<strong>in</strong>gs litter accord<strong>in</strong>g to the technology requirements implemented <strong>in</strong> the<br />

selection base until the age of 18 weeks. At that time, four groups were formed –<br />

two of each l<strong>in</strong>e with genotypes K/W (slow feather<strong>in</strong>g) and k + /W (rapid<br />

feather<strong>in</strong>g). Groups of l<strong>in</strong>e L <strong>in</strong>cluded 72 hens divided <strong>in</strong>to 6 boxes with 1 rooster<br />

per 12 hens, whereas l<strong>in</strong>e K groups comprised 96 hens of each genotype, housed <strong>in</strong><br />

8 boxes with one rooster per 12 hens, totally 192 birds.<br />

The hens were housed until 48 weeks of age on deep litter with uniform<br />

conditions with regard to density, feed<strong>in</strong>g and dr<strong>in</strong>k<strong>in</strong>g widths. Restricted feed<strong>in</strong>g<br />

was practiced with weekly rations accord<strong>in</strong>g to the age and egg production. The<br />

compound feed conta<strong>in</strong>ed: metaboli<strong>za</strong>ble energy 1810.005 kcal/kg, crude prote<strong>in</strong> –<br />

16.012%, crude fat – 6.836%, crude fibers – 5.889%, lys<strong>in</strong>e 0.75%, methion<strong>in</strong>e<br />

0.38%, calcium 3.2%, phosphorus 0.81%<br />

Dur<strong>in</strong>g the experiment, the follow<strong>in</strong>g traits were evaluated:<br />

• Age of sexual maturity (days) – age when 50% of egg production<br />

was atta<strong>in</strong>ed <strong>in</strong> the different groups;<br />

• Egg production – daily from egg lay beg<strong>in</strong>n<strong>in</strong>g to 48 weeks of age.<br />

On the basis of these data, the hen-day and hen-housed egg production<br />

percentages were established;<br />

• Average egg weight – by weigh<strong>in</strong>g eggs laid by each group for the<br />

day at 2-week <strong>in</strong>terval between 32 and 48 weeks of age<br />

• Morphological traits of eggs – 10% of the daily egg yield dur<strong>in</strong>g 3<br />

consecutive days at 40 weeks of age was analysed. The <strong>in</strong>dividual egg<br />

weight, shape <strong>in</strong>dex, albumen <strong>in</strong>dex, yolk <strong>in</strong>dex, Hough units, yolk<br />

colour by the La Roche scale and eggshell thickness were determ<strong>in</strong>ed.<br />

• Incubation traits of eggs – they were <strong>in</strong>vestigated at 48 weeks of age<br />

by collection of eggs over 7 days. The fertility was evaluated as the<br />

relative share of fertilized to eggs set <strong>in</strong> the <strong>in</strong>cubators; the hatchability<br />

of eggs set (HS) – the relative share of hatched chickens from eggs set;<br />

the hatchability of fertile eggs (HF) – the relative share of hatched<br />

chickens from fertilised eggs, embryonic death rate – for the<br />

407


408<br />

N. M<strong>in</strong>cheva et al.<br />

<strong>in</strong>cubation <strong>in</strong>tervals 0–6 days, 7–18 days and 19–21 days – as relative<br />

proportions of dead embryos from fertilised eggs.<br />

• Live body weight and exterior traits at 36 weeks of age – the live<br />

body weight was determ<strong>in</strong>ed by weigh<strong>in</strong>g on a balance with precision<br />

of 5 g. The follow<strong>in</strong>g body parts were measured with a centimetre<br />

tape: body length (between the last cervical vertebra and the tail root),<br />

breast circumference (between the last cervical vertebra beh<strong>in</strong>d and<br />

under the w<strong>in</strong>gs to the anterior end of the keel bone ridge); keel bone<br />

length (between the anterior and posterior ends of keel bone ridge),<br />

thigh, drumstick and metatarsus lengths (between the end po<strong>in</strong>ts of<br />

respective bones); the chest depth between the last cervical vertebra<br />

and the anterior keel bone border) – with compasses.<br />

Data were statistically processed by l<strong>in</strong>es and by genotypes by means of<br />

ANOVA/MANOVA and LSD post hoc test with Statistica 8 software (StatSoft,<br />

2009). Percentage data were arcs<strong>in</strong>e transformed prior to be analysed.<br />

Results and discussion<br />

The analysis of results <strong>in</strong> table 1 showed that the age of sexual maturity <strong>in</strong><br />

hens from l<strong>in</strong>e L did not differ significantly between both genotypes as also<br />

reported by Holodkov (2004), Ledv<strong>in</strong>ka et al. (2011). Тhis tendency was not valid<br />

for l<strong>in</strong>e K, where the beg<strong>in</strong>n<strong>in</strong>g of egg lay <strong>in</strong> the group with rapid feather<strong>in</strong>g<br />

genotype k + /W occurred 6 days earlier (p


Effect of feather<strong>in</strong>g alleles (k/K + ) on lay<strong>in</strong>g performance ...<br />

The hen-housed and hen-day egg production, the feed expenditure per one<br />

egg produced and the livability dur<strong>in</strong>g the period of lay were not <strong>in</strong>fluenced by the<br />

feather<strong>in</strong>g rate genotype. With this regard, our results confirmed the conclusions of<br />

Prijono and Smith (1994), Holodkov (2004) and Younis and Galal (2006).<br />

Table 2 presents the data from ANOVA statistical analyses about the effect<br />

of K locus genotype on morphological traits of eggs. The feather<strong>in</strong>g genotype had a<br />

significant impact on the shape <strong>in</strong>dex (p


410<br />

N. M<strong>in</strong>cheva et al.<br />

pronounced effect of K locus alleles on fertility, early embryonic death and<br />

hatchability of fertile eggs, but unlike our results, the fertility, early and late<br />

embryonic death rates were higher <strong>in</strong> slow feather<strong>in</strong>g birds, whereas the<br />

hatchability of fertile eggs – <strong>in</strong> rapid feather<strong>in</strong>g birds. The hatchability of <strong>in</strong>cubated<br />

eggs was similar. On the other hand, Alsobayel and Al – Muhlem (1997) did not<br />

report any significant differences with regard to fertility rate, hatchability and<br />

embryonic death rate between slow and rapid feather<strong>in</strong>g Baladi chickens.<br />

Table 3. Hatchability traits of hens as affected by feather<strong>in</strong>g genotype<br />

Traits<br />

L<strong>in</strong>e<br />

K L<br />

Feather<strong>in</strong>g genotype<br />

k + /W K/W k + /W K/W<br />

Significance<br />

P - value<br />

Fertility (%) 92,88a 86,73b 92,19a 85,84b 0,022<br />

Early embryonic<br />

0,42 0,00 0,68 1,40 0,631<br />

mortality (%)<br />

Middle period<br />

6,29 3,75 5,73 6,76 0,701<br />

embryonic mortality (%)<br />

Late embryonic<br />

3,61 8,28 5,52 4,56 0,302<br />

mortality (%)<br />

Hatchability<br />

92,65 92,98 94,66 89,94 0,364<br />

/fertile eggs/, %<br />

Hatchability<br />

87,50a 80,77b 88,79a 81,01b 0,044<br />

/set eggs/, %<br />

a–b statistically significant differences (p


Effect of feather<strong>in</strong>g alleles (k/K + ) on lay<strong>in</strong>g performance ...<br />

Table 4. Body weight and body measurements of hens at 36 weeks of age<br />

Traits<br />

L<strong>in</strong>e<br />

K L<br />

Feather<strong>in</strong>g genotype<br />

k + /W K/W k + /W K/W<br />

411<br />

Significance<br />

P - value<br />

Body weight (g) 3874,7a 3546,20b 3327,90c 3377,14c 0,000<br />

Body length (cm) 21,30a 21,17a 19,90b 20,70b 0,346<br />

Breast circumference (cm) 39,83 38,30 39,70 39,07 0,080<br />

Breast depth (cm) 12,67a 12,60a 12,90a 11,93b 0,081<br />

Keel length (cm) 14,03a 14,30a 13,37c 14,23a,b 0,050<br />

Thigh length (cm) 14,03a 14,23a 13,20b 14,30a 0,003<br />

Drumstick length (cm) 15,90a 16,20a 14,40b 14,83b 0,055<br />

Metatarsus length (cm) 8,43d 9,03c 9,60b 10,13a 0,000<br />

a–d statistically significant differences (p0.05).<br />

The presence of slow feather<strong>in</strong>g allele resulted <strong>in</strong> lower fertility and hatchability of<br />

<strong>in</strong>cubated eggs <strong>in</strong> both studied l<strong>in</strong>es (p


412<br />

N. M<strong>in</strong>cheva et al.<br />

proizvodnji brojlera. Četiri grupe kokoši nosilja uzrasta 18 nedelja, dve grupe po<br />

l<strong>in</strong>iji, genotipova K/W (sporo operjavanje) i k + /W (brzo operjavanje), respektivno.<br />

Grupe l<strong>in</strong>ije L su sadržavale 72 kokoši podeljene u 6 bokseva sa 1 petlom na 12<br />

kokoši, dok su grupe l<strong>in</strong>ije K imale 96 kokoši svakog genotipa, smeštene u 8<br />

boksova sa jednim petlom na 12 kokoši, ukupno 192 grla.<br />

K locus alela nije imao značajan uticaj na osob<strong>in</strong>e proizviodnje jaja (p><br />

0,05). Prisustvo alela <strong>za</strong> sporo operjavanje je rezultiralo u slabijoj plodnosti i<br />

procentu izleženih jaja u obe ispitivane l<strong>in</strong>ije (p


Effect of feather<strong>in</strong>g alleles (k/K + ) on lay<strong>in</strong>g performance ...<br />

Production and Hatchability Parameters. Asian Journal of <strong>Animal</strong> and Veter<strong>in</strong>ary<br />

Advances 5 (1): 66-71.<br />

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CRITTENDEN, A. M. FADLY. (1984): Influence of sex-l<strong>in</strong>ked feather<strong>in</strong>g<br />

phenotypes of parents and progeny upon lymphoid leukosis virus <strong>in</strong>fection status<br />

and egg production. Poult. Sci. 63:401–413.<br />

HARRIS, D. L., V. A. GARWOOD, P. C. LOWE, P. Y. HESTER, L.<br />

B.CRITTENDEN, FADLY, A. M. (1984): Influence of sex-l<strong>in</strong>ked feather<strong>in</strong>g<br />

phenotypes of parents and progeny upon lymphoid leukosis virus <strong>in</strong>fection status<br />

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Effects of genetic stra<strong>in</strong>, slow verus rapid - feather<strong>in</strong>g maternal genotype and cage<br />

density on the performance of S<strong>in</strong>gle Comb White Leghorns. Poultry Sci.68 : 596-<br />

607.<br />

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Received 14 August 2012; accepted for publication 21 August 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 415-424 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.085.8<br />

DOI: 10.2298/BAH1203415T<br />

THE EFFECT OF PHASE NUTRITION DURING<br />

STARTER PERIOD ON PRODUCTION PERFORMANCES<br />

AND NITROGEN CONTENT IN FECES OF BROILERS<br />

OF DIFFERENT GENOTYPES<br />

N. Tolimir 1 , L. Perić 2 , N. Milošević 2 , M. Đukić – Stojčić 2 , R. Jovanović 1 ,<br />

V. Bogdanović 3<br />

1 ,<br />

<strong>Institut</strong>e of Science Application <strong>in</strong> Agriculture Bulevar Despota Stefana 68b, 11000, Belgrade,<br />

Republic of Serbia<br />

2<br />

Faculty of agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, 21000, Novi Sad,<br />

Republic of Serbia<br />

3<br />

Faculty of Agriculture, University of Belgrade, Nemanj<strong>in</strong>a 6, 11080 Belgrade, Republic of Serbia<br />

Correspond<strong>in</strong>g author: e-mail: ntolimir@ipn.co.rs<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: Objective of the research was to <strong>in</strong>vestigate the effect of phase<br />

nutrition, i.e. different mixtures used <strong>in</strong> broiler nutrition with phase reduction of<br />

prote<strong>in</strong> cotnent dur<strong>in</strong>g starter period on production peformances of fatten<strong>in</strong>g<br />

chickens of diferent genotypes and on nitrogen content <strong>in</strong> faeces. Differences<br />

between groups (treatments) were <strong>in</strong> the type of mixtures use d<strong>in</strong> starter period, and<br />

accord<strong>in</strong>g to the follow<strong>in</strong>g program: T1 (control group) – nutrition consisted of<br />

mixtures with 23% of prote<strong>in</strong>s <strong>in</strong> duration from day 1 to 21; T2 – from day 1 to 14,<br />

mixture conta<strong>in</strong><strong>in</strong>g 23% of prote<strong>in</strong> was used, and from day 14 to 21, mixture with<br />

20% of prote<strong>in</strong>s; T3 – from day 1 to 7, mixture was used conta<strong>in</strong><strong>in</strong>g 23% of prote<strong>in</strong><br />

and from day 7 to 21, mixture with 20% of prote<strong>in</strong>s; T4 – nutrition with mixture<br />

conta<strong>in</strong><strong>in</strong>g 20% of prote<strong>in</strong>s <strong>in</strong> duration from day 1 to 21. Dur<strong>in</strong>g the trial period<br />

(from day 1 to 21) production parameters were followed. Nitrogen content was<br />

determ<strong>in</strong>ed <strong>in</strong> a collective faeces sample. Results showed that chickens of different<br />

genotypes expressed different sensitivity to prote<strong>in</strong> restriction. Compar<strong>in</strong>g the trial<br />

groups with the control <strong>in</strong> the third week, <strong>in</strong> chickens of Ross 308 provenience<br />

significantly lower body weight was registered only <strong>in</strong> chickens of T4 group with<br />

the highest prote<strong>in</strong> reduction. In Cobb 500 chickens, significantly lower body<br />

weight was determ<strong>in</strong>ed <strong>in</strong> T3 and T4 trial groups. In case of both hybrids, <strong>in</strong> T2<br />

group, slightly lower body weight was established, but without statistically<br />

significant difference compared to the control. Feed conversion <strong>in</strong> both genotypes<br />

was the highest <strong>in</strong> T3 and T4 treatments. The program of phase nutrition resulted <strong>in</strong><br />

decrease of the nitrogen content <strong>in</strong> faeces. Based on obta<strong>in</strong>ed data it can be<br />

concluded that applied nutrition treatments with drastic prote<strong>in</strong> reduction dur<strong>in</strong>g<br />

starter period <strong>in</strong> both genotypes had negative effect on production performances.


416<br />

N. Tolimir al.<br />

Therefore, the composition and dynamics of mixture changes must be taken <strong>in</strong>to<br />

consideration when formulat<strong>in</strong>g the program of phase nutrition, <strong>in</strong> order to achieve<br />

both goals – decrease of prote<strong>in</strong> content <strong>in</strong> feed with simultaneous dim<strong>in</strong>ished<br />

nitrogen excretion and achiev<strong>in</strong>g good results.<br />

Key words: broiler, genotype, phase nutrition, production traits, nitrogen<br />

Introduction<br />

In regard to broiler fatten<strong>in</strong>g periods, the early period is given special attention,<br />

and nutrition dur<strong>in</strong>g the starter period is considered critical for reali<strong>za</strong>tion of<br />

optimum production performances, therefore is the topic of research by numerous<br />

authors (Baker and Han, 1994; Gomes et al., 2006). Studies show that the prote<strong>in</strong><br />

and am<strong>in</strong>o acid requirements of broilers change with their age, also that the use of<br />

one diet dur<strong>in</strong>g longer period of time would result either <strong>in</strong> nutrient suficit or<br />

deficit dur<strong>in</strong>g most of the growth period. In this regard, Belyav<strong>in</strong>, (1999) suggests<br />

that dur<strong>in</strong>g the grow<strong>in</strong>g period more different diets are used, i.e. that nutrition of<br />

broilers is based on programs of multiphase nutrition. Studies show that mixtures<br />

with reduced prote<strong>in</strong> content have no effect on body weight and feed <strong>in</strong>take of<br />

broilers, i.e. their impact on economical efficiency of broiler fatten<strong>in</strong>g is significant<br />

(Warren and Emmert, 2000; Saleh et al., 1996). Numerous programs of phase<br />

nutrition have been developed <strong>in</strong> the last decade which are based on different<br />

frequencies of changes of certa<strong>in</strong> mixtures, i.e. starter, grower and f<strong>in</strong>isher <strong>in</strong><br />

broiler nutrition. Ma<strong>in</strong> objective of phase nutrition programs is to determ<strong>in</strong>e the<br />

optimum time proportion <strong>in</strong> nutrition us<strong>in</strong>g basic mixtures, <strong>in</strong> regard to production<br />

performances and economical efficiency of production, but often also the<br />

ecological aspect of these programs is considered (Roush et al., 2004; Saleh et al.,<br />

2004). Also, it can be observed that programs <strong>in</strong>clude certa<strong>in</strong> comb<strong>in</strong>ations of<br />

m<strong>in</strong>imum three to twenty mixtures of different nutritional composition (Buteri et<br />

al., 2009; Tolimir et al., 2010), with aim to determ<strong>in</strong>e the optimal program.<br />

Economical impact of substitution starter with grower mixture <strong>in</strong> early period is<br />

based on the difference <strong>in</strong> cost of starter and f<strong>in</strong>isher diets. In addition to the<br />

economical impact of the phase nutrition program, the studies <strong>in</strong>clude also the<br />

ecological aspect, consider<strong>in</strong>g that it was established that nitrogen excretion is<br />

directly correlated to prote<strong>in</strong> content <strong>in</strong> mixtures used <strong>in</strong> nutrition (Bregendahl et<br />

al., 2002). However, study results (Ferguson et al., 1997) <strong>in</strong>dicate that drastic<br />

reduction of crude prote<strong>in</strong>s dur<strong>in</strong>g the first three weeks can significantly <strong>in</strong>crease<br />

the need for feed <strong>in</strong> broilers, therefore it is not recommended, although reduction of<br />

crude prote<strong>in</strong>s resulted <strong>in</strong> decrease of nitrogen emission. The same author<br />

(Ferguson et al., 1998) po<strong>in</strong>ts out that feed manipulation can have impact on


The effect of phase nutrition dur<strong>in</strong>g ...<br />

reduction of nitrogen <strong>in</strong> manure, but at the same time production performances are<br />

ma<strong>in</strong>ta<strong>in</strong>ed at the acceptable level.<br />

Objective of the present paper is to <strong>in</strong>vestigate the effect of the nutrition<br />

program which <strong>in</strong>cludes several phases, i.e. the effect of different mixtures used <strong>in</strong><br />

broiler nutrition, where prote<strong>in</strong> content is reeduced <strong>in</strong> phases – <strong>in</strong> the first fatten<strong>in</strong>g<br />

phase, on production traits of fatten<strong>in</strong>g chickens of different genotypes and<br />

nitrogen content <strong>in</strong> faeces.<br />

Material and Methods<br />

Trial was carried out on Experimental farm of the Faculty of Agriculture, Novi<br />

Sad <strong>in</strong> Temer<strong>in</strong>. The study <strong>in</strong>cluded 1200 <strong>in</strong>dividually marked chickens of Ross<br />

308 and Cobb 500 proveniences. Chickens were housed <strong>in</strong> 16 boxes, 75 chickens<br />

<strong>in</strong> each box. With<strong>in</strong> each genotype, four groups – treatments were formed, with<br />

two repetitions for each treatment. For every treatment 150 chickens per treatment<br />

were studied.<br />

Standard fatten<strong>in</strong>g technology was applied, <strong>in</strong> duration of 42 days. Chicken<br />

nutrition was ad libitum. Difference between groups (treatments) was <strong>in</strong> the type of<br />

mixture used <strong>in</strong> starter period, and accord<strong>in</strong>g to the follow<strong>in</strong>g program of phase<br />

nutrition: T1 (control group) – nutrition consisted of mixtures with 23% of prote<strong>in</strong>s<br />

<strong>in</strong> duration from day 1 to 21; T2 – from day 1 to 14, mixture conta<strong>in</strong><strong>in</strong>g 23% of<br />

prote<strong>in</strong> was used, and from day 14 to 21, mixture with 20% of prote<strong>in</strong>s; T3 – from<br />

day 1 to 7, mixture was used conta<strong>in</strong><strong>in</strong>g 23% of prote<strong>in</strong> and from day 7 to 21,<br />

mixture with 20% of prote<strong>in</strong>s; T4 – nutrition with mixture conta<strong>in</strong><strong>in</strong>g 20% of<br />

prote<strong>in</strong>s <strong>in</strong> duration from day 1 to 21.<br />

Control measur<strong>in</strong>g of all <strong>in</strong>dividually marked chickens was done us<strong>in</strong>g<br />

technical scale on the first day and <strong>in</strong> weekly <strong>in</strong>tervals from week 1 to 3. Feed<br />

conversion was calculated based on data on feed <strong>in</strong>take and ga<strong>in</strong> of chickens at the<br />

level of every chicken box, and all dead chickens were also weighed and <strong>in</strong>cluded<br />

<strong>in</strong> the calculation.<br />

Chemical analysis was carried out on the collective faeces sample, as well as<br />

determ<strong>in</strong>ation of nitrogen content. Collective faeces sample was formed by<br />

collect<strong>in</strong>g faeces from trial boxes for studied treatments. Faeces were collected<br />

us<strong>in</strong>g a wooden box with wire basis on which a nylon layer was placed, and where<br />

chickens were kept for certa<strong>in</strong> period of time necessary for tak<strong>in</strong>g of samples.<br />

Nitrogen content <strong>in</strong> faeces was analyzed <strong>in</strong> the Laboratory for quality of animal<br />

feed of the Faculty of Agriculture <strong>in</strong> Novi Sad, accord<strong>in</strong>g to the method 7 of the<br />

Rulebook on methods for tak<strong>in</strong>g of samples and methods of physical, chemical and<br />

microbiological analysis of animal feed (1987).<br />

The program STATISTIKA, ANOVA MANOVA and LSD post-hoc test were<br />

used <strong>in</strong> data process<strong>in</strong>g.<br />

417


418<br />

Results and Discussion<br />

N. Tolimir al.<br />

Based on obta<strong>in</strong>ed data, it was established that applied program of phase<br />

nutrition dur<strong>in</strong>g starter period, <strong>in</strong> both <strong>in</strong>vestigated proveniences, resulted <strong>in</strong><br />

expression of impact on production performances, i.e. body weight and feed<br />

conversion.<br />

In Table 1, the weekly evaluation of the significance of differences of major<br />

factors on body weight of Cobb 500 and Ross 308 chickens is presented. Hybrid<br />

was determ<strong>in</strong>ed to be significant only <strong>in</strong> the first week, which can be associated<br />

with the research by Petričevič et al. (2011), whereas the feed as variability factor<br />

had statistically significant effect on body weight <strong>in</strong> all trial weeks. Interaction<br />

between factors hybrid and feed was not recorded <strong>in</strong> the third week.<br />

By observ<strong>in</strong>g the data obta<strong>in</strong>ed <strong>in</strong> different nutrition treatments, it is apparent<br />

that hybrids reacted differently on applied nutrition programs. In case of<br />

provenience Cobb 500 significant difference between the control – T1 compared to<br />

chickens of group T3 which consumed starter mixture only <strong>in</strong> the first 7 days and<br />

T4 group which did not consume starter diet dur<strong>in</strong>g first three weeks, was<br />

established. In Ross 308 chickens, statistically significant difference was<br />

determ<strong>in</strong>ed only between T1 and T4 groups, which can <strong>in</strong>dicate that chickens of<br />

this provenience were more tolerant to shorten<strong>in</strong>g of the nutrition with starter<br />

mixture.<br />

Table 1. Evaluation of significane of differences <strong>in</strong> body weight, per weeks<br />

Week<br />

Variation<br />

measure<br />

Average body weight (g)<br />

Cobb 500 Ross 308 Factor<br />

T1 T2 T3 T4 T1 T2 T3 T4<br />

1. x 144<br />

Sd<br />

a<br />

147<br />

18,47<br />

a<br />

143<br />

17,18<br />

a<br />

118<br />

19,76<br />

b<br />

159<br />

11,25<br />

a<br />

161<br />

17,92<br />

a<br />

156<br />

18,84<br />

a<br />

126<br />

19,29<br />

b<br />

** ** *<br />

16,04<br />

2. x 333<br />

Sd<br />

a<br />

333<br />

58,82<br />

a<br />

315<br />

42,07<br />

b<br />

262<br />

40,98<br />

c<br />

336<br />

38,99<br />

a<br />

346<br />

51,71<br />

a<br />

315<br />

54,05<br />

b<br />

283<br />

52,07<br />

c<br />

NS ** **<br />

43,09<br />

3. x 642<br />

Sd<br />

a<br />

621<br />

116,54<br />

a<br />

614<br />

87,12<br />

b<br />

530<br />

85,87<br />

c<br />

642<br />

92,08<br />

a<br />

638<br />

93,28<br />

a<br />

623<br />

104,57<br />

a<br />

554<br />

100,71<br />

b<br />

NS ** NS<br />

94,54<br />

a-b Values with<strong>in</strong> the row for each hybrid without same letter <strong>in</strong> superscript are statistically significantly different<br />

(P


The effect of phase nutrition dur<strong>in</strong>g ...<br />

dur<strong>in</strong>g the <strong>in</strong>vestigation of the impact of nutrition program was alo reported by<br />

Mandrigal et al. (1994), Nikolova et al. (2007). However, <strong>in</strong> the paper by Saki et<br />

al. (2010) <strong>in</strong> the <strong>in</strong>vestigation of three programs of nutrition dur<strong>in</strong>g starter period <strong>in</strong><br />

two genotypes, no significant <strong>in</strong>teractions between hybrids and nutrition programs<br />

were established.<br />

In case of proveniences Cobb 500 and Ross 308, the lowest, <strong>in</strong>significant<br />

difference <strong>in</strong> f<strong>in</strong>al body weight was registered by compar<strong>in</strong>g T1 with T2 group,<br />

which consumed starter mixture dur<strong>in</strong>g the period of two weeks. This result <strong>in</strong>duces<br />

the question if chickens need starter mixtures longer than 14 days, dur<strong>in</strong>g starter<br />

period. Obta<strong>in</strong>ed results are <strong>in</strong> accordance with research by Saleha et al. (1997) who<br />

evaluated the time proportion <strong>in</strong> nutrition us<strong>in</strong>g starter, grower and f<strong>in</strong>isher mixtures<br />

<strong>in</strong> fatten<strong>in</strong>g chickens <strong>in</strong> fatten<strong>in</strong>g period of 42 days. This author <strong>in</strong>dicated the<br />

significance of target body weight when plann<strong>in</strong>g the nutrition program <strong>in</strong> sense of<br />

duration of certa<strong>in</strong> nutrition phases and provided recommendations for duration of<br />

use of certa<strong>in</strong> mixtures depend<strong>in</strong>g on whether the chickens are fattened to 1kg, 2kg<br />

or 3kg of f<strong>in</strong>al weight.<br />

Obta<strong>in</strong>ed results can be associated with studies by Saleh et al.( 1996); Warren<br />

and Emmert (2000); Pope and Emert (2001) who po<strong>in</strong>ted out the need for reevaluation<br />

of the traditional programs of nutrition and duration of each nutrition<br />

phase, based on their research of the effect of phase nutrition programs and different<br />

time proportions for starter, grower and f<strong>in</strong>isher mixtures, and also tak<strong>in</strong>g <strong>in</strong>to<br />

consideration the genetic improvements <strong>in</strong> broilers and reduced time for reali<strong>za</strong>tion<br />

of body weight, as well as more expressed need for optimi<strong>za</strong>tion of production from<br />

economical aspect.<br />

Table 2 presents the data on feed conversion dur<strong>in</strong>g the first fatten<strong>in</strong>g phase,<br />

for proveniences Cobb 500 and Ross 308.<br />

Dur<strong>in</strong>g starter period (from 1 to 21 days), <strong>in</strong> chickens of both proveniences, by<br />

compar<strong>in</strong>g values obta<strong>in</strong>ed for feed conversion, i.e. by compar<strong>in</strong>g control T1 group<br />

to trial groups, it was observed that chickens of groups T3 and T4, with the greatest<br />

prote<strong>in</strong> reduction, realized less favourable conversion. Also, <strong>in</strong> both hybrids, feed<br />

conversion values for T1 control group and T2 group with the mildest reduction of<br />

prote<strong>in</strong> content were similar.<br />

Table 2. Feed conversion <strong>in</strong> chickens accord<strong>in</strong>g to fatten<strong>in</strong>g phases<br />

Period<br />

Feed conversion<br />

Cobb 500 Ross 308<br />

(days) T1 T2 T3 T4 T1 T2 T3 T4<br />

1-21 1,643 1,658 1,897 2,233 1,648 1,659 1,888 1,942<br />

In the analysis of obta<strong>in</strong>ed data on feed conversion it was established that the<br />

most favourable feed conversion was <strong>in</strong> T1 group. Obta<strong>in</strong>ed results are <strong>in</strong><br />

concordance with results obta<strong>in</strong>ed by Saki et al. (2010), <strong>in</strong> the research of different<br />

419


420<br />

N. Tolimir al.<br />

nutrition programs. However, <strong>in</strong> the paper by Saleha et al. (1997) <strong>in</strong> phase nutrition<br />

of broilers, no significant differences <strong>in</strong> feed conversion were detected between<br />

NCR program and two trial programs <strong>in</strong> which chickens consumed starter mixture<br />

to the age of 7 and 14 days.<br />

Content of dry matter and nitrogen <strong>in</strong> faeces of Cobb 500 and Ross 308<br />

chickens is presented accord<strong>in</strong>g to nutrition treatments and weeks dur<strong>in</strong>g the starter<br />

period, i.e. from week 1 to 3 (Table 3). Also, dynamics <strong>in</strong> chang<strong>in</strong>g of mixtures<br />

used <strong>in</strong> nutrition of studied genotypes depend<strong>in</strong>g on the nutrition program, is<br />

presented.<br />

By analyz<strong>in</strong>g data presented <strong>in</strong> Table 3, it can be observed that content of dry<br />

matter <strong>in</strong> chicken faeces varied depend<strong>in</strong>g on the feed consumed by chickens. In<br />

both <strong>in</strong>vestigated proveniences, dry matter content <strong>in</strong> faeces was ma<strong>in</strong>ly higher<br />

when grower mixture was consumed.<br />

Nitrogen content <strong>in</strong> faeces, <strong>in</strong> chickens of Cobb 500 and Ross 308, was the<br />

highest <strong>in</strong> control T1 group which consumed dur<strong>in</strong>g all three weeks mixtures<br />

conta<strong>in</strong><strong>in</strong>g 23% of crude prote<strong>in</strong>s, i.e. group without prote<strong>in</strong> reduction. Also, it can<br />

be observed that the drastic reduction of prote<strong>in</strong> <strong>in</strong> mixture used <strong>in</strong> group T4 <strong>in</strong><br />

both studied genotypes resulted <strong>in</strong> reduced nitrogen content <strong>in</strong> faeces, which is<br />

desirable from the ecological aspect. However, it should be po<strong>in</strong>ted out that this<br />

program of nutrition had adverse effect on growth rate of chickens and feed<br />

conversion ratio, which makes it unacceptable from the aspect of production<br />

performances.<br />

Table 3. Dry matter and nitrogen content <strong>in</strong> faeces<br />

Week<br />

1.<br />

2.<br />

3.<br />

Trait<br />

T1 starter<br />

T2 starter<br />

Dry matter and nitrogen content <strong>in</strong> faeces (%)<br />

Cobb 500 Ross 308<br />

T3 starter<br />

T4 grower<br />

T1 starter<br />

T2 starter<br />

T3 starter<br />

T4 grower<br />

Dry mat. 19,68 20,28 19,92 22,88 18,85 19,06 19,24 22,02<br />

Moisture 80,32 79,72 80,08 77,12 81,15 80,94 80,76 77,98<br />

N <strong>in</strong> DM 5,59 5,35 5,28 4,01 4,39 5,15 4,78 3,86<br />

T1 starter<br />

T2<br />

starter<br />

T3<br />

grower<br />

T4<br />

grower<br />

T1<br />

starter<br />

T2<br />

starter<br />

T3<br />

grower<br />

T4<br />

grower<br />

Dry mat. 18,68 19,95 20,53 19,78 16,67 18,26 20,09 19,46<br />

Moisture 81,32 80,05 79,47 80,22 83,33 81,74 79,91 80,54<br />

N <strong>in</strong> DM 5,01 4,98 4,02 3,88 4,94 5,10 4,18 3,98<br />

T1 starter<br />

T2<br />

grower<br />

T3<br />

grower<br />

T4<br />

grower<br />

T1<br />

starter<br />

T2<br />

grower<br />

T3<br />

grower<br />

T4<br />

grower<br />

Dry mat. 18,24 21,83 19,98 21,19 17,62 21,86 20,90 21,68<br />

Moisture 81,76 78,17 80,02 78,81 82,38 78,14 79,10 78,32<br />

N <strong>in</strong> DM 5,23 4,50 4,25 4,67 5,05 4,38 4,10 4,56<br />

Similar results were obta<strong>in</strong>ed by Ferguson et al. (1997), <strong>in</strong> their study of the<br />

effect of nutrition with different content of crude prote<strong>in</strong>s on growth, concentration


The effect of phase nutrition dur<strong>in</strong>g ...<br />

of ammonia and manure composition. Accord<strong>in</strong>g to the results of said authors,<br />

drastic reduction of prote<strong>in</strong> content dur<strong>in</strong>g starter period <strong>in</strong>creased significantly the<br />

need for feed, therefore it is not recommended, even though the reduction of<br />

prote<strong>in</strong> <strong>in</strong>duced reduced nitrogen emission.<br />

Obta<strong>in</strong>ed results can be associated with the research <strong>in</strong> which the correlation<br />

between the prote<strong>in</strong> content of mixtures used <strong>in</strong> broiler nutrition and nitrogen<br />

excretion was confirmed (Delezie et al., 2009; Namroud et al., 2008). L<strong>in</strong>ear trend<br />

<strong>in</strong> <strong>in</strong>crease of ammonia emission with the <strong>in</strong>crease of crude prote<strong>in</strong> content <strong>in</strong> diets<br />

was also established by Elw<strong>in</strong>gwe and Svensson (1996). This <strong>in</strong>dicates the need for<br />

further <strong>in</strong>vestigation of the nutrition program with comprehensive analyses <strong>in</strong> sense<br />

of economical and ecological aspects.<br />

Conclusion<br />

Phase nutrition <strong>in</strong>cluded application of nutrition program with different<br />

frequency of chang<strong>in</strong>g starter, grower and f<strong>in</strong>isher mixtures used <strong>in</strong> nutrition of<br />

Cobb 500 and Ross 308 chickens, with aim to determ<strong>in</strong>e the optimum for<br />

production <strong>in</strong> the economical and environmental sense.<br />

Drastic reduction of prote<strong>in</strong>s <strong>in</strong> T4 nutrition program resulted <strong>in</strong> significant<br />

decrease of body weight and unfavourable feed conversion <strong>in</strong> both studied hybrids.<br />

Chickens of Cobb 500 provenience were more sensitive to prote<strong>in</strong> reduction. At the<br />

same time, drastic reduction of prote<strong>in</strong>s <strong>in</strong> T4 nutrition program, <strong>in</strong> both studied<br />

genotypes, resulted <strong>in</strong> decrease of nitrogen content <strong>in</strong> faeces, which is desirable<br />

from ecological aspect. However, negative impact of this program on production<br />

performances makes it unacceptable. In proveniences Cobb 500 and Ross 308, the<br />

least, <strong>in</strong>significant difference <strong>in</strong> body weight and similar feed conversion were<br />

established by compar<strong>in</strong>g the control to T2 group, which consumed starter mixture<br />

for the period of two weeks, <strong>in</strong>dicat<strong>in</strong>g the need for further research of this<br />

nutrition program.<br />

Based on obta<strong>in</strong>ed results, it can be concluded that, composition and dynamics<br />

of changes of mixtures when formulat<strong>in</strong>g the program of phase nutrition must be<br />

taken <strong>in</strong>to consideration <strong>in</strong> order to achieve both goals – decrease the prote<strong>in</strong><br />

content <strong>in</strong> feed, with dim<strong>in</strong>ished excretion of nitrogen <strong>in</strong> faeces and realiz<strong>in</strong>g good<br />

production results at the same time.<br />

Acknowledgment:<br />

Research was f<strong>in</strong>anced by the M<strong>in</strong>istry of Education, Science and Technological<br />

Development Republic of Serbia, project TR-31033.<br />

421


422<br />

N. Tolimir al.<br />

Uticaj fazne ishrane u starter periodu na proizvodne<br />

performanse i sadržaj azota u fecesu brojlera različitih<br />

genotipova<br />

N. Tolimir, L. Perić, N. Milošević, M. Đukić – Stojčić, R. Jovanović, V. Bogdanović<br />

Rezime<br />

Cilj istraživanja je da se ispita uticaj fazne ishrane, odnosno različitih smeša <strong>za</strong><br />

ishranu brojlera u kojima je sadržaj prote<strong>in</strong>a smanjen fazno u starter periodu na<br />

proizvodne osob<strong>in</strong>e tovnih pilića različitog genotipa i sadržaj azota u fecesu.<br />

Razlika između grupa (tretmana) bila je u tipu smeša u starter periodu, a prema<br />

sledećem programu: T1 (kontrolna grupa) - ishrana smešom sa 23% prote<strong>in</strong>a u<br />

trajanju od 1. do 21. dana; T2 - ishrana od 1. do 14. dana smešom sa 23% prote<strong>in</strong>a i<br />

od 14. do 21. dana sa 20% prote<strong>in</strong>a; T3 - ishrana od 1. do 7. dana smešom sa 23%<br />

prote<strong>in</strong>a i od 7. do 21. dana sa 20% prote<strong>in</strong>a; T4 - ishrana smešom sa 20% prote<strong>in</strong>a<br />

u trajanju od 1. do 21. dana. U oglednom periodu (od 1. do 21. dana) praćeni su<br />

proizvodni parametri. Sadržaj azota u fecesu određen je na zbirnom uzorku.<br />

Rezultati su poka<strong>za</strong>li da su pilići različitih genotipova ispoljili različitu<br />

osetljivost na restrikciju prote<strong>in</strong>a. Poređenjem oglednih grupa sa kontrolnom u<br />

trećoj nedelji, kod pilića provenijence Ross 308 konstatovano je da je signifikantno<br />

manju telesnu masu ostvarila samo T4 grupa sa najstrožijom redukcijom prote<strong>in</strong>a.<br />

Kod provenijence Cobb 500 signifikantno manja telesna masa utvrđena je <strong>za</strong> T3 i<br />

T4 oglednu grupu. Kod oba hibrida <strong>za</strong> T2 oglednu grupu utvrđena je nešto manja<br />

telesna masa, ali bez statistički značajne razlike u poređenju sa kontrolnom.<br />

Konverziju hrane kod oba genotipa imala je najveće vrednosti <strong>za</strong> T4 i T3 tretman.<br />

Programi fazne ishrane rezultirali su smanjenjem sadržaja azota u fecesu.<br />

Na osnovu dobijenih rezultata može se <strong>za</strong>ključiti da su primenjeni tretmani<br />

ishrane sa drastičnom restrikcijom prote<strong>in</strong>a u starter periodu kod oba genotipa<br />

imali negativan uticaj na proizvodne performanse. Zbog toga se prilikom<br />

formulisanja programa fazne ishrane strogo mora voditi računa o sastavu i d<strong>in</strong>amici<br />

promene smeša, a kako bi se postigla oba cilja – smanjenje sadržaja prote<strong>in</strong>a u<br />

hrani uz smanjenu ekskreciju azota i posti<strong>za</strong>nje dobrih proizvodnih rezultata.<br />

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diets on growth performance and body composition of broiler chicks. Poultry<br />

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L.F.T. (2009): Effects of different nutritional plans on broiler performance. Revista<br />

Brasileira de Ciencia Avicola 11 no 4.<br />

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standard three-phase feed<strong>in</strong>g schedule. British Poultry Science, Sep 50 (5): 573 -<br />

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dr<strong>in</strong>ker type on ammonia emission from broiler houses. Journal of Agricultural<br />

Eng<strong>in</strong>eer<strong>in</strong>g Research 64: 197-208.<br />

FERGUSON N.S., GATES R.S., TARABA J.L., CANTOR A.H, PESCATORE<br />

A.J., FORD M.J, BURNHAM D.J. (1997): The effect of dietary crude prote<strong>in</strong> on<br />

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FERGUSON N.S., GATES R.S., TARABA J.L., CANTOR A.H., PESCATORE<br />

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AND FILHO CREN A.W. (2006): Period of feed<strong>in</strong>g a pre starter diet on<br />

performance up to 42 days of broilers of different body weights at hous<strong>in</strong>g. book of<br />

Abstrats, XII European Poultry Conference, Italy, 298-299.<br />

MADRIGAL S.A., WATKINS S.E., WALDROUP P.W. (1994): Feed<strong>in</strong>g<br />

Programs Designed to Modify Early Growth Rates <strong>in</strong> Male Broilers Grown to 56<br />

Days of Age. Journal of Applied Poultry Research 3:319-326.<br />

NAMROUD N.F., SHIVAZAD M., ZAGHARI M. (2008): Effects of Fortify<strong>in</strong>g<br />

Low Crude Prote<strong>in</strong> Diet with Crystall<strong>in</strong>e Am<strong>in</strong>o Acids on Performance, Blood,<br />

Ammonia level, and Excreta Characteristics of Broiler chicks. Poultry Science 87:<br />

2250-2258.<br />

NIKOLOVA N., PAVLOVSKI Z., MILOŠEVIĆ N., PERIĆ L (2007): Uticaj<br />

različitog nivoa energije i prote<strong>in</strong>a u hrani na proizvodne parametre brojlerskih<br />

pilića dva genotipa. <strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, Vol. 23, br. 5-6-1, str.<br />

551-557.<br />

PETRIČEVIĆ V., PAVLOVSKI Z., ŠKRBIĆ Z., LUKIĆ M. (2011): The effect of<br />

genotype on production and slaughter properties of broiler chickens. <strong>Biotechnology</strong><br />

<strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 2011 Volume 27, Issue 2, Pages: 171-181.<br />

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POPE T., EMMERT J.L. (2001): Phase –feed<strong>in</strong>g supports maximum growth<br />

performance of broiler chicks from forty –three to seventy-one days of age. Poultry<br />

Science 80 (3): 345-52.<br />

PRAVILNIK O METODAMA UZIMANJA UZORAKA I METODAMA<br />

FIZIČKIH, HEMIJSKIH I MIKROBIOLOŠKIH ANALIZA STOČNE HRANE<br />

(1987): Službeni list SFRJ, broj 15/87.<br />

REZAEI, A. TEIMOURI J. POURREZA, H. SAYYAHZADEH and<br />

P.W.WALDROUP (2006): Effect of diet dilution <strong>in</strong> the starter period on<br />

performance and carcass characteristics of broiler chicks. Journal Central European<br />

Agriculture, Volume 7, No. 1 (63-70).<br />

SAKI A.A., MOMENI M., TABATABAEI M.M., AHMADI A., RAHMATI<br />

M.M.H., HEMATI MATIN H.R., JANJAN A. (2010): Effect of Feed<strong>in</strong>g Programs<br />

on Broilers Cobb and Arbor Acres plus Performance. International Journal of<br />

Poultry Science 9 (8): 795-800,<br />

SALEH E.A., WATKINS S.E., WALDROUP A.L., WALDROUP P.W. (2004):<br />

Effect of Dietary Nutrient Density on Performance and Carcass Quality of Male<br />

Broilers Grown for Further Process<strong>in</strong>g. International Journal of Poultry Science 3<br />

(1): 1-10.<br />

SALEH E.A., WATKINS S.E., WALDROUP P.W. (1997): Chang<strong>in</strong>g Time of<br />

Feed<strong>in</strong>g Starter, Grower and F<strong>in</strong>isher Diets for Broilers. 2. Birds grown to 2,2 kg.<br />

Journal of Applied Poultry Research 6: 64 73.<br />

SALEH, E.A., WARKINS S.E., AND WALDROUP AND W.P.(1996): Chang<strong>in</strong>g<br />

time of feed<strong>in</strong>g starter, grower, and f<strong>in</strong>isher diets for broilers.1. Birds grown to<br />

1kg. J.Appl.Poult.Res. 5:269-275<br />

TOLIMIR N, PERIĆ L, MILOŠEVIĆ N, BOGDANOVIĆ V (2010): The effect of<br />

multiphase nutrition on production performances of broilers. <strong>Biotechnology</strong> <strong>in</strong><br />

animal husbandry, Vol.26, 1-2, 83-91.<br />

WARREN W.A. AND EMMERT J.L (2000): Efficacy of phase-feed<strong>in</strong>g <strong>in</strong><br />

support<strong>in</strong>g growth performance of broiler chuck dur<strong>in</strong>g the starter and f<strong>in</strong>isher<br />

phases. Poult.Sci. 79:764-770.<br />

Received 16 May 2012; accepted for publication 21 July 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 425-431 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 637.05<br />

DOI: 10.2298/BAH1203425D<br />

EGG QUALITY OF JAPANESE QUAIL IN SERBIA<br />

(Coturnix coturnix japonica)<br />

M. Đukić Stojčić 1 , N. Milošević 1 , L. Perić 1 , I. Jajić 1 , N. Tolimir 2<br />

1<br />

Faculty of Agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, 21000, Novi Sad,<br />

Republic of Serbia<br />

2<br />

<strong>Institut</strong>e for Science Application an Agriculture, Bulevar despota Stefana 68b, 11000, Belgrade,<br />

Republic of Serbia<br />

Correspond<strong>in</strong>g autor: mirjana.djukicstojcic@stocarstvo.edu.rs<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: In the last years Japanese quail (Conturnix coturnix japonica) is<br />

becom<strong>in</strong>g more popular as a source of meat and eggs. Information on egg quality<br />

characteristics has been limited mostly to chicken eggs. The aim of this paper is to<br />

enhance the knowledge on the quality of quail eggs. In this study external and<br />

<strong>in</strong>ternal quality traits of quail eggs from three different commercial farms will be<br />

presented. For egg mass, shape <strong>in</strong>dex, shell thickness, shell mass no significant<br />

difference was found between farms. For yolk colour, yolk and albumen mass,<br />

statistically significant differences were found between the three farms. The<br />

difference <strong>in</strong> shell break<strong>in</strong>g strength between farms A and B was not significant<br />

and significant differences were found between eggs from farm C. Yolk, albumen<br />

and shell percentage were <strong>in</strong> the same relation as the mass of these parameters. The<br />

worst albumen quality was recorded <strong>in</strong> eggs from farm A. The parameters yolk<br />

colour, Haugh Unit and egg proportions (albumen, yolk and shell) do not differ<br />

between chicken and quail eggs. On the other hand, parameters which differ are<br />

egg mass (about five times smaller at quail eggs), shape <strong>in</strong>dex, shell break<strong>in</strong>g<br />

strength and shell thickness, which was to be expected. The external and <strong>in</strong>ternal<br />

egg quality traits of quail eggs from three farms <strong>in</strong> Serbia do not differ from the<br />

results of quality traits from other countries. On the other hand, this <strong>in</strong>vestigation<br />

contributes the development of science, because it <strong>in</strong>cludes some parameters,<br />

which have so far not been published <strong>in</strong> literature by other researchers from this<br />

area.<br />

Key words: eggs, quail, <strong>in</strong>ternal and external quality traits<br />

Introduction<br />

In the last years Japanese quail (Conturnix coturnix japonica) is important as a<br />

laboratory animal, due to its easy ma<strong>in</strong>tenance, early sexual maturity, shorter


426<br />

M. Đukić Stojčić et al.<br />

generation <strong>in</strong>terval, high rate of egg production, but Japanese quail is also<br />

becom<strong>in</strong>g more popular as a source of meat and eggs (Punya Kumari, 2008). Eggs<br />

of most species of birds may have similarities <strong>in</strong> nutritional composition and<br />

potential food usage, however, <strong>in</strong>formation on egg quality characteristics and<br />

utili<strong>za</strong>tion of egg for food and other purposes have been limited mostly to chicken<br />

eggs. Chicken egg has been very well studied for its quality as well as for its<br />

composition, however such <strong>in</strong>formation are not so abundantly documented <strong>in</strong> other<br />

poultry species (Dudusola, 2010). Among many quality characteristics, external<br />

factors such as cleanness, freshness, egg weight and shell quality are important for<br />

consumer´s acceptability of shell eggs, and <strong>in</strong>terior characteristics such as yolk<br />

<strong>in</strong>dex, albumen <strong>in</strong>dex, proportions of egg components and chemical composition<br />

are also important for egg production <strong>in</strong>dustry (Song, 2000). Information on egg<br />

quality characteristics has been limited mostly to chicken eggs.<br />

Because of the grow<strong>in</strong>g <strong>in</strong>terest <strong>in</strong> consumption of quail eggs <strong>in</strong> our country, and<br />

due to the lack of recent <strong>in</strong>vestigations <strong>in</strong> this direction, the aim of this paper is to<br />

enhance the knowledge on the quality of quail eggs, and to show the quality of<br />

quail eggs <strong>in</strong> our surround<strong>in</strong>g. In this study external and <strong>in</strong>ternal quality traits of<br />

quail eggs from three different commercial farms will be presented.<br />

Materials and methods<br />

The experimental material comprised eggs of Japanese quail (Coturnix<br />

coturnix japonica) of lay<strong>in</strong>g type <strong>in</strong> their first year of production (between 25 and<br />

30 weeks of age), derived from three commercial farms near Novi Sad. The quails<br />

<strong>in</strong> all three farms are kept <strong>in</strong> battery-cages under same conditions. The quails were<br />

fed ad libitum with the same complete commercial diets which can be found on the<br />

market, which is the reason why these three farms were chosen. The <strong>in</strong>vestigation<br />

of egg quality traits was carried out <strong>in</strong> the Department of <strong>Animal</strong> Science of the<br />

Faculty of Agriculture <strong>in</strong> Novi Sad. Exam<strong>in</strong>ation of egg quality parameters was<br />

carried out on the random sample of 20 eggs per producer, one day after they have<br />

been collected from the farms. The follow<strong>in</strong>g egg quality traits (external and<br />

<strong>in</strong>ternal) were assessed:<br />

Egg weight (g), yolk weight (g), albumen weight (g), and shell weight (g) were<br />

measured with analytic scale with 0.01 g accuracy.<br />

To determ<strong>in</strong>e the proportions of egg parts, each egg was carefully broken and<br />

shell separated. Eggs shell (not dried) was weighed and the relative weight<br />

calculated by relat<strong>in</strong>g the shell weight to the weight of the egg. An egg separator<br />

was used to separate the yolk from the albumen. Relative yolk weight was<br />

calculated <strong>in</strong> percentages by relat<strong>in</strong>g the yolk weight measured to the nearest gram<br />

to the whole weight of that particular egg and multiplied by 100. The albumen<br />

weight was calculated by subtract<strong>in</strong>g the yolk and shell weights from the whole


Egg quality of japanese quail ...<br />

egg weight. The albumen weight relative to the <strong>in</strong>dividual egg weight was<br />

calculated.<br />

Yolk <strong>in</strong>dex (%) was calculated accord<strong>in</strong>g to the formula: Yolk <strong>in</strong>dex = yolk<br />

height (mm) x 100% / yolk width (mm).<br />

Haugh units were calculated accord<strong>in</strong>g to the formula (Haugh, 1937): HU =<br />

100 log (H +7.57 -1,7 *M 0,37 ), H – average thick white height (mm), W – egg<br />

weight (g).<br />

Shell break<strong>in</strong>g force was measured by an Egg Force Reader (Orka Food<br />

Technology Ltd, Israel). The stand of the device was modified for measur<strong>in</strong>g quail<br />

eggs.<br />

Egg yolk colour was determ<strong>in</strong>ed accord<strong>in</strong>g to Roche yolk colour fan<br />

(Vuilleumier, 1969).<br />

Eggshell thickness (mm) was measured together with shell membranes at the<br />

equatorial part of the egg us<strong>in</strong>g a micrometer screw.<br />

Based on obta<strong>in</strong>ed data, statistical analysis was done us<strong>in</strong>g ANOVA and<br />

Duncan post-hoc test (STATISTICA 8, Stat Soft Inc, 2007).<br />

Results and Discussion<br />

Table 1 presents results of egg quality traits. No significant differences were<br />

found <strong>in</strong> the egg weight and shape <strong>in</strong>dex between eggs derived from three<br />

producers.<br />

The difference <strong>in</strong> shell break<strong>in</strong>g strength between farms A (1.72 kg) and B<br />

(1.63 kg) was not significant. However, a significant difference was found between<br />

eggs from farm C (1.05 kg) compared to eggs from farms A and B (P


428<br />

M. Đukić Stojčić et al.<br />

Table 1. Average values and standard deviation of external and <strong>in</strong>ternal egg quality traits of<br />

quail and average values of chicken eggs quality traits<br />

Producer<br />

Quail eggs Hen eggs *<br />

Parameters<br />

A B C<br />

X Sd X Sd X Sd<br />

Egg weight (g) 11,52 1,03 12,30 0,59 12,18 1,00 55 -- 70<br />

Shape <strong>in</strong>dex (%) 77,37 2,43 77,51 3,79 75,11 2,89 61 -- 86<br />

Break<strong>in</strong>g strenght (kg) 1,72 a<br />

0,33 1,63 a<br />

0,38 1,05 b<br />

0,50 4 --5<br />

Shell thickness (mm) 0,196 1,780 0,201 1,610 0,186 1,350 0,32 - 0,35<br />

Shell weight (g) 1,73 0,20 1,80 0,26 1,63 0,17 8 - 12 % from egg<br />

Yolk weight (g) 3,72 b<br />

Albumen weight (g) 6,07 c<br />

Yolk colour (Roche) 13,6 a<br />

Haugh Unit 83,65 b<br />

Egg proportions (%)<br />

Yolk 30,00 b<br />

0,42 3,42 b<br />

0,67 7,08 a<br />

0,97 7,6 c<br />

3,27 86,1 a<br />

3,34 27,71 c<br />

Albumen 55,15 b 4,37 57,67 a<br />

0,49 4,15 a<br />

0,38 6,4 b<br />

2,32 10,9 b<br />

3,02 87,93 a<br />

2,85 32,28 a<br />

4,16 52,61 c<br />

0,32<br />

0,74<br />

2,18 1 -- 15<br />

3,68 > 70<br />

1,95 31<br />

2,98 58<br />

Shell 14,85 1,72 14,62 1,78 15,09 1,72 11<br />

a-c Values with<strong>in</strong> rows with no common superscript are significantly different (P


Egg quality of japanese quail ...<br />

In this study, the average values that are determ<strong>in</strong>ed are similar to the results<br />

reported by Nazligul et al. (2001), Ozcelik et al. (2002), Kul and Seker (2004),<br />

Nowaczewski et al. (2010) but different from results from Odunsi et al. (2007),<br />

Ipek et al. (2007), Punya Kumari et al. (2008), Dudusola (2009, 2010).<br />

The mean egg weight <strong>in</strong> this experiment was similar to the results that were<br />

reported by Dudusola (2009, 2010). Nowaczewski et al. (2010), who analyzed egg<br />

weight changes accord<strong>in</strong>g to age of the experimental birds, found that the value of<br />

this trait <strong>in</strong> week 25 (10.91 g) was smaller than <strong>in</strong> week 9 (11.33 g), but about 1 g<br />

higher than <strong>in</strong> results obta<strong>in</strong>ed by Odunsi et al. (2007), who evaluated three prote<strong>in</strong><br />

sources <strong>in</strong> the diets of grow<strong>in</strong>g and lay<strong>in</strong>g Japanese quails. The <strong>in</strong>vestigation from<br />

Punya Kumari et al. (2008) showed that mean egg weight from quail <strong>in</strong> 16 th week<br />

of production was 13.71 which is more than 1 g higher compared to our results.<br />

Shape <strong>in</strong>dex, shell thickness, albumen weight, yolk weigh, Haugh Units and<br />

percentages of yolk and albumen were similar to the results reported by most<br />

researches (Nazligul et al., 2001; Ozcelik et al., 2002; Kul and Seker, 2004; Punya<br />

Kumari et al., 2008; Nowaczewski et al. 2010).<br />

The value of shell break<strong>in</strong>g strength of quail eggs was between 1.05 and 1.72. This<br />

value was not compared to the results of other authors because these authors did<br />

not report the results of break<strong>in</strong>g strength. Generally it can be stated that the<br />

break<strong>in</strong>g strength is smaller compared to chicken eggs, which can as well be<br />

expected s<strong>in</strong>ce the quail eggs have smaller weight and eggshell thickness.<br />

The shell weight and percentage of shell <strong>in</strong> our <strong>in</strong>vestigation was bigger compared<br />

to the results of other authors (Odunsi et al., 2007; Ipek et al., 2007; Dudusola<br />

2009, 2010, Nowaczewski et al. 2010), because the shell weight was measured<br />

directly after the shell was broken and separated, and the mentioned authors<br />

measured it after dry<strong>in</strong>g.<br />

In results from Odunsi et al. (2007) the yolk colour was lighter and <strong>in</strong> range<br />

between 1.2 and 1.5 po<strong>in</strong>ts (Roche). In <strong>in</strong>vestigation from Punya Kumari et al.<br />

(2008) the average yolk colour was 5.37, which is as well lighter than <strong>in</strong> our<br />

<strong>in</strong>vestigations, where the yolk colour was not uniform, and <strong>in</strong> the range between<br />

7.6 and 13.6.<br />

Conclusion<br />

Generally it can be concluded that the external and <strong>in</strong>ternal egg quality traits of<br />

quail eggs from three farms <strong>in</strong> Serbia do not differ from the results of quality traits<br />

from other countries. On the other hand, this <strong>in</strong>vestigation contributes the<br />

development of science, because it <strong>in</strong>cludes some parameters, which have so far<br />

not been published <strong>in</strong> literature by other researchers from this area. Further<br />

<strong>in</strong>vestigations <strong>in</strong> the field of chemical composition are needed.<br />

429


430<br />

Acknowledgment<br />

M. Đukić Stojčić et al.<br />

Research was f<strong>in</strong>anced by the M<strong>in</strong>istry of Education, Science and Tehnological<br />

Development, Republic of Serbia, project TR 31033.<br />

KVALITET JAJA JAPANSKE REPELICE(Coturnix<br />

coturnix japonica)<br />

M. Đukić Stojčić, N. Milošević, L. Perić, I. Jajić, N. Tolimir<br />

Rezime<br />

Poslednjih god<strong>in</strong>a japanska prepelica (Coturnix coturnix japonica) postaje sve više<br />

popularna kao izvor mesa i jaja. Informacije o karakteristikama kvaliteta jaja su<br />

uglavnom bila ve<strong>za</strong>na <strong>za</strong> kokošija jaja. Cilj ovoga rada je da unapredi znanje o<br />

kvalitetu jaja prepelica. Predstavljeni su podaci o spoljašnjem i unutrašnjem kvalitetu<br />

prepeličjih jaja sa tri različite komercijalne farme. Parametari tež<strong>in</strong>a jaja, <strong>in</strong>deks<br />

oblika, deblj<strong>in</strong>a ljuske, tež<strong>in</strong>a ljuske se statistički značajno ne razlikuju između tri<br />

farme. Boja žumanca, tež<strong>in</strong>a žumana i belanca statistički su se razlikovale između sve<br />

tri farme. Nije bilo statistčki značajne razlike u sili loma između farmi A i B dok su se<br />

jaja sa farme C statistički bitno razlikovala u sili loma od fame A i B. Najlošiji kvalitet<br />

belanca <strong>za</strong>beležen je u jajima sa farme A. Parametri boja žumanca, Hogove jed<strong>in</strong>ice i<br />

procentualni udeo pojed<strong>in</strong>ih delova jaja (belance, žumance i ljuska) se ne razlikuju<br />

bitno između kokošijih i prepeličijih jaja. Takođe hemijski sastav prepeličijih i<br />

kokošijih jaja je veoma sličan. Sa druge strane parametri koji se razlikuju a <strong>za</strong> koje je<br />

bilo i očekivati da će se razlikovati između kokošijih i prepeličijih jaja su tež<strong>in</strong>a jaja (<br />

oko pet puta manja masa jaja prepelica u odnosu na kokošija jaja), <strong>in</strong>deks oblika, sila<br />

loma i deblj<strong>in</strong>a ljuske. Spoljašnji i unutrašnji kvalitet prepeličijih jaja iz tri različite<br />

farme u Srbiji se ne razlikuje od rezultata o kvalitetu prepeličijih jaja iz drugih<br />

zemalja. Ovo istraživenje dopr<strong>in</strong>osi razvoju nauke o kvalitetu prepeličijih jaja jer<br />

obuhvata i neke parametre koji do sada nisu bili objavljeni u literaturi od strane drugih<br />

istraživača iz ove oblasti.<br />

References<br />

DUDUSOLA, I. O. (2010): Comparative evaluation of <strong>in</strong>ternal and external<br />

qualities of eggs from quail and gu<strong>in</strong>ea fowl. International Research Journal of<br />

Plant Science, 1(5) 112-115.<br />

DUDUSOLA, I. O. (2009): Effects of Storage Methods and Length of Storage on<br />

some Quality Parameters of Japanese Quail Eggs. Tropicultura, 27 ( 1) 45-48.


Egg quality of japanese quail ...<br />

HAUGH, R.R. (1937): The Haugh unit for measur<strong>in</strong>g egg quality. U.S. Egg<br />

Poultry Magaz<strong>in</strong>e, 43 552-553 and 572-573.<br />

IPEK, A., CANBOLAT, O., KARABULUT, A. (2007): The Effect of Vitam<strong>in</strong> E<br />

and Vitam<strong>in</strong> C on the Performance of Japanese Quails (Coturnix Coturnix<br />

Japonica) Reared under Heat Stress dur<strong>in</strong>g Growth and Egg Production Period.<br />

Asian-Aust. J. Anim. 20 (2 ) 252 – 256.<br />

KUL S., SEKER, I. (2004): Phenotypic Correlations Between Some External and<br />

Internal Egg Quality Traits <strong>in</strong> the Japanese Quail (Coturnix coturnix japonica).<br />

International Journal of Poultry Science, 3 (6) 400-405.<br />

MILOŠEVIĆ, N. and PERIĆ, L. (2011): Tehnologija živ<strong>in</strong>arske proizvodnje.<br />

Univerzitet u Novom Sadu, Poljoprivredni fakultet, Novi Sad, pp. 33-42.<br />

NAZLIGUL, A., BARDAKCIOGLU, H.E., TURKYILMAZ, N.K., ORAL, D.C.<br />

(2001): The effect of cage density on egg weight, egg prodcution and feed<br />

consumpstion <strong>in</strong> Japanese quails. J. Fac. Vet. Med. Univ. 27 (2) 429-438.<br />

NOWACZEWSKI, S., KONTECKA, H., ROSIÑSKI,A., KOBERLING, S.,<br />

KORONOWSKI, P. (2010): Egg Quality of Japanese Quail Depends on Layer Age<br />

and Storage Time. Folia biologica, 58 3-4.<br />

ODUNSI, A.A., ROTIMI, A.A., AMAO, E.A. (2007): Effect of Different<br />

Vegetable Prote<strong>in</strong> Sources on Growth and Lay<strong>in</strong>g Performance of Japanese Quails<br />

(Coturnix Coturnix Japonica) <strong>in</strong> a Derived Savannah Zone of Nigeria. World<br />

Applied Sciences Journal, 3 (5) 567-571.<br />

OZCELIK, M. (2002): The phenotypic correlations among some external and<br />

<strong>in</strong>ternal quality characteristics <strong>in</strong> Japanese quail eggs. Vet. J. Ankara Univ., 49 67-72.<br />

PAVLOVSKI, Z., HOPIĆ, S. and LUKIĆ, M. (2001): Hous<strong>in</strong>g systems for layers<br />

and egg quality. <strong>Biotechnology</strong> for <strong>Animal</strong> Science, 17, 197-200.<br />

PUNYA KUMARIL, B., RAMESH GUPTA, B., GNANA PRAKASH, M.,<br />

RAJASEKHAR REDDY, A. (2008): A study of egg quality traits <strong>in</strong> Japanese<br />

quails. J. Veter<strong>in</strong>ary & <strong>Animal</strong> Sciences 4 (6) 227-231.<br />

SONG, K. T., CHOI, S. H., OH, H. R. (2000): A comparison of Egg Quality of<br />

Pheasant, Chukar, Quail and Gu<strong>in</strong>ea Fowl. Asian-Aus. J. Anim. Sci., 13 (7) 986-<br />

990.<br />

VUILLEUMIER, J.P. (1969): The ‘Roche Yolk Colour Fan’-An Instrument for<br />

Measur<strong>in</strong>g Yolk Colour. Poultry Science, 48: 767-779.<br />

Received 16 May 2012; accepted for publication 11 August 2012<br />

431


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 433-439 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.084.42<br />

DOI: 10.2298/BAH1203433U<br />

THE EFFECT OF FEED WETTING AND<br />

FERMENTATION ON THE PERFORMANCE OF<br />

BROILER CHICK<br />

E. N. Uchewa, P. N. Onu<br />

Department of <strong>Animal</strong> Science, Ebonyi State University, P.M.B 053, Abakaliki, Ebonyi State,Nigeria<br />

Correspond<strong>in</strong>g author: nnenwamazi@yahoo.com<br />

Abstract:An experiment was conducted to evaluate the effect of feed<br />

wett<strong>in</strong>g and fermented feed on the performance of broiler chicks. Four<br />

experimental diets were used <strong>in</strong> the study. Diet 1, was a conventional commercial<br />

broiler starter feed. Diet 2 was a commercial broiler starter feed <strong>in</strong> a 1:1.2 dilution<br />

with water. Diet 3, was a water diluted commercial feed <strong>in</strong>oculated with<br />

Bactocell and fermented for 24 hours at 35 o C <strong>in</strong> an <strong>in</strong>cubator. Diet 4 was<br />

fermented feed add with 6% copper sulphate solution at the rate of 1ml to 10g of<br />

feed, to then <strong>in</strong>cubated for 24 hours. 180 day old Anak 2000 broiler chicks were<br />

randomly assigned to the four experimental diets <strong>in</strong> a completely randomized<br />

design (CRD). Each treatment group was replicated four times with 15 birds per<br />

replicate. Results showed that feed <strong>in</strong>take and weight ga<strong>in</strong> were significantly higher<br />

(P


434<br />

E. N. Uchewa et al.<br />

an average Nigeria consumes about 53.8g prote<strong>in</strong> out of which animal prote<strong>in</strong><br />

contributed only 8.4g. As a result of this, efforts have been geared towards<br />

alleviat<strong>in</strong>g the animal prote<strong>in</strong> deficit plagu<strong>in</strong>g Nigerians, through improved animal<br />

production.<br />

Nutrition is by far one of the greatest factors <strong>in</strong>fluenc<strong>in</strong>g the productivity<br />

of farm animals. This is because feed<strong>in</strong>g accounts for over 70 % of the total cost of<br />

produc<strong>in</strong>g <strong>in</strong>tensively kept animals (Esonu, 2001). However, <strong>in</strong> a bid to reduce the<br />

cost of feed<strong>in</strong>g, farmers resort to feed<strong>in</strong>g poor quality feeds to farm animals. This<br />

has resulted lately to economic losses <strong>in</strong> poultry production <strong>in</strong> develop<strong>in</strong>g countries<br />

(Aletor, 1986). Hence the need to focus attention on strategies for ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g the<br />

quality of feeds at reduced to ensure improved utili<strong>za</strong>tion and performance of<br />

poultry.<br />

In Nigeria, commercial poultry birds are usually fed dry mash. Wet feed<strong>in</strong>g<br />

<strong>in</strong>volves the addition of water to dry poultry mash before feed<strong>in</strong>g. Earlier<br />

comparison between the use of dry and wet mash (Yalda and Forbes, 1995; Kutlu<br />

et al., 1997) showed significant <strong>in</strong>crease <strong>in</strong> feed <strong>in</strong>take, body weight ga<strong>in</strong> and feed<br />

efficiency of birds when the feed was mixed with up to twice the weight of water to<br />

give a porridge-like consistency. Studies by Awojobi and Meshioye (2001) and<br />

Ogbonna et al. (2001) showed that wet mash was more beneficial than dry mash <strong>in</strong><br />

poultry feed<strong>in</strong>g. Similar observations have been reported <strong>in</strong> grow<strong>in</strong>g pigs (Brooks<br />

and Carpenter, 1990; Rayner and Miller, 1990). Meanwhile, fermentation of feed<br />

samples has been reported to alter both physio-chemical and microbiological<br />

properties of feed with improved performance of animals (Moran, 2001). Newman<br />

and Newman (1985) reported that fungal fermentation of barley with Rhizopus<br />

oligosporus improved the performance of broiler chickens. Adejimni et al. (2003)<br />

<strong>in</strong>dicated that fermented cocoa husk improved weight ga<strong>in</strong> of rabbits. However,<br />

there is still little of <strong>in</strong>formation on the feed<strong>in</strong>g value of fermented liquid feed to<br />

broiler chickens.<br />

The present study was therefore embarked upon to evaluate the<br />

performance of broiler chickens fed fermented and unfermented commercial<br />

broiler feed.<br />

Materials and Methods<br />

The experiment was conducted at the Teach<strong>in</strong>g and Research Farm<br />

(Poultry Unit), Department of <strong>Animal</strong> Science, Ebonyi State University, Abakaliki.<br />

The experimental protocol was approved by the <strong>Animal</strong> Care and Use Committee<br />

of the <strong>Institut</strong>ion.<br />

Preparation of the experimental diets. A batch of a commercial broiler<br />

starter ration was purchased and calculated per group by subtract<strong>in</strong>g the <strong>in</strong>itial<br />

body used for the preparation of the test diets. Four experimental diets were


The effect of feed wett<strong>in</strong>g ...<br />

prepared. Diet 1, (control) was a dry commercial broiler starter feed. Diet 2 was a<br />

dry feed mixed with water <strong>in</strong> a ratio of 1:1.2g of water solution while diet 3 was the<br />

water mixed feed <strong>in</strong>oculated with actocell to give a f<strong>in</strong>al concentration of 7<br />

log10 CFU/ml liquid feed. Diet 4 was an equal part of diet 3 mixed with 6% copper<br />

sulphate solution <strong>in</strong> a ratio of 10:1. Both diets 3 and 4 were then kept <strong>in</strong> the<br />

<strong>in</strong>cubator to ferment for 24 hours at 35 o C. The proximate composition of the<br />

commercial diet is shown <strong>in</strong> Table 1.<br />

Table 1: Proximate composition of the commercial broiler starter diet used <strong>in</strong> the study<br />

Ingredients Inclusion (%)<br />

Crude prote<strong>in</strong> 21<br />

Ether extract 4.0<br />

Crude fibre 3.8<br />

Total Ash 5.5<br />

Methion<strong>in</strong>e 0.52<br />

Lys<strong>in</strong>e 0.92<br />

Available phosphorus 0.45<br />

Vitam<strong>in</strong> A 15000IU Kg -1<br />

Vitam<strong>in</strong> D3 5000IUKg -1<br />

Metaboli<strong>za</strong>ble energy 14MJ Kg -1<br />

Experimental animals and procedure. A total of one hundred and eighty<br />

(180) Anak 2000 broiler chicks procured from a commercial hatchery were used<br />

for the experiment. Prior to the commencement of the experiment, the birds were<br />

fed a commercial broiler starter for one week adaptation period. On the eight day<br />

they were divided <strong>in</strong>to four treatment groups of birds each and each group<br />

randomly assigned to an experimental diet <strong>in</strong> a completely randomized design<br />

(CRD). Each treatment was further subdivided <strong>in</strong>to three replicates of 15 per<br />

replicate were housed <strong>in</strong> pens compartment measur<strong>in</strong>g 3m x 3m electric bulbs.<br />

Heat was provided to the birds us<strong>in</strong>g Rout<strong>in</strong>e poultry management practices which<br />

<strong>in</strong>cluded daily <strong>in</strong>spection of the birds for symptoms of diseases, mortality, clean<strong>in</strong>g<br />

of troughs and supply of feed and fresh water were ma<strong>in</strong>ta<strong>in</strong>ed. The experiment<br />

lasted for 28 days. The care and management of the experimental animals has been<br />

carried out by the procedure accord<strong>in</strong>g to the recommended guidel<strong>in</strong>es of<br />

Federation of <strong>Animal</strong> Science Societies (1999).<br />

Data collection and analysis. A weighed quantity of feed was served to<br />

the birds. Left over feed was collected per group every morn<strong>in</strong>g, weighed and<br />

recorded. From this the daily feed <strong>in</strong>take of each replicate group was determ<strong>in</strong>ed by<br />

difference between the quantity of feed served and the leftover. Weigh<strong>in</strong>g of the<br />

birds was done weekly on <strong>in</strong>dividual basis and <strong>in</strong> the morn<strong>in</strong>g when their crops are<br />

virtually empty. At the end of the trial, the body weight ga<strong>in</strong> was calculated per<br />

group by subtract<strong>in</strong>g the <strong>in</strong>itial body weight from the f<strong>in</strong>al weight. The daily body<br />

weight ga<strong>in</strong> was determ<strong>in</strong>ed by divid<strong>in</strong>g the body weight ga<strong>in</strong> with the number of<br />

435


436<br />

E. N. Uchewa et al.<br />

days the experiment lasted. The feed conversion ratio (FCR) was computed by<br />

divid<strong>in</strong>g the average daily feed <strong>in</strong>take by the average daily weight day.<br />

Carcass evaluation. At the end of the feed<strong>in</strong>g trial, five birds were<br />

randomly selected from each experimental group, weighed, slaughtered,<br />

eviscerated, dressed and cut <strong>in</strong>to <strong>in</strong>dividual parts for carcass evaluation. The<br />

various organs were dissected and blotted free of blood and their weights taken on<br />

a G&G Electronic Scale and Mettler P 2000 weigh<strong>in</strong>g balance and later expressed<br />

as percentage of the body weights. Data collected were subjected to a one-way<br />

analysis of variance (Steel and Torrie, 1980). Differences between the treatment<br />

means were separated us<strong>in</strong>g Duncan’s New Multiple Range Test as outl<strong>in</strong>ed by Obi<br />

(2002).<br />

Results and Discussion<br />

The data on the performance of the broiler chicks fed the experimental<br />

diets are shown on Table 2. There were significant (P < 0.05) differences <strong>in</strong> all the<br />

parameter measured among birds fed the control and liquid feeds respectively.<br />

Feed <strong>in</strong>take and weight ga<strong>in</strong> were significantly higher (P < 0.05) <strong>in</strong> birds fed<br />

fermented feed and non-fermented liquid diets. These f<strong>in</strong>d<strong>in</strong>gs were <strong>in</strong> agreement<br />

with that reported by Yalda and Forbes (1995) and Awojobi and Meshioye (2001).<br />

The higher feed <strong>in</strong>take of birds fed liquid feeds may be attributed to wetness of the<br />

feed which may have <strong>in</strong>creased the rate of passage of the feed through the gastro<br />

<strong>in</strong>test<strong>in</strong>al tract. Interest<strong>in</strong>gly, the higher feed <strong>in</strong>take resulted to higher body weight<br />

ga<strong>in</strong>, thus <strong>in</strong>dicat<strong>in</strong>g more efficient utili<strong>za</strong>tion of the feed by the birds.<br />

Birds on dry feed consumed significantly (P < 0.05) more water than those<br />

on liquid feed. Thus suggest<strong>in</strong>g that a remarkable part of the water requirement of<br />

birds on liquid feeds were met by the wet feed (Yalda and Forbes, 1995; Awojobi<br />

and Meshioye, 2001; Ogbonna et al., 2001).<br />

Table 2: Performance of broiler chicks fed the experimental diets<br />

Treatments<br />

Parameters. T 1 T 2 T 3 T 4 SEM<br />

Initial body weight. (g) 48.3 50.1 49.8 48.4<br />

F<strong>in</strong>al body weight (g) 1017.77 c 1229 a 1231.0 a 1195.83 b 5.57<br />

Body weight ga<strong>in</strong> (g) 969.47 c 1179.10 a 1181.28 a 1147.43 b 5.36<br />

Daily body weight ga<strong>in</strong> (g) 23.08 b 28.07 a 28.12 a 27.32 a 2.11<br />

Total feed <strong>in</strong>take (g) 2843.62 b 3208.98 a 3285.64 a 3232.82 a 8.79<br />

Daily feed <strong>in</strong>take (g) 67.71 b 76.40 a 78.23 a 76.87 a 2.98<br />

Water <strong>in</strong>take (ml) 321.45 a 245.1 226.78 b 232.26 a 3.78<br />

Feed conversion ratio 2.93 b 2.72 a 2.78 a 2.81 a 0.01<br />

ab = means on the same row different superscripts are significantly different (P < 0.05). SEM =<br />

standard error of means. T1 =conventional dry broiler starter diet, T2= unfermented liquid diet T3=<br />

fermented liquid diet, T4 = fermented liquid feed with copper sulphate added.


The effect of feed wett<strong>in</strong>g ...<br />

Birds receiv<strong>in</strong>g liquid feed (fermented and non-fermented) showed<br />

significantly (P < 0.05) superior feed conversion ratio over the control group. The<br />

better feed conversion ratio is not surpris<strong>in</strong>g s<strong>in</strong>ce it was discovered that the birds<br />

spent less time feed<strong>in</strong>g on the wet feed and so expended less energy than those fed<br />

dry feed (Savory, 1974). Liquid diets compared favourably (P > 0.05) <strong>in</strong> all the<br />

response parameters measured. In spite of the non-significant (P > 0.05) difference<br />

<strong>in</strong> the performance of the birds fed fermented and non-fermented liquid diets; there<br />

were tendencies for more efficient utili<strong>za</strong>tion of the nutrients <strong>in</strong> non-fermented<br />

liquid diets. This is seen <strong>in</strong> the marg<strong>in</strong>al improvement of 2.16% of feed conversion<br />

ratio <strong>in</strong> favour of non-fermented liquid feed.<br />

Table 3: Carcass characteristics of broiler chicks fed the experimental diets.<br />

Treatments<br />

Parameters T1 T2 T3 T4 SEM<br />

F<strong>in</strong>al body weight (g) 1017.77 b 1229 a 1231.0 a 1195.83 a 5.57<br />

Dressed weight (%) 86.08 86.53 86.28 86.14 0.05<br />

Thigh 1 13.96 14.10 14.00 14.02 0.14<br />

Shank 1 7.08 7.12 7.12 7.09 0.24<br />

W<strong>in</strong>gs 1 10.45 10.60 10.65 10.56 0.36<br />

Breast 1 14.61 14.72 14.65 14.62 1.98<br />

Giz<strong>za</strong>rd 2 3.30 3.81 3.79 3.58 0.65<br />

Heart 2 2.09 2.19 2.22 2.10 0.11<br />

Liver 2 2.54 2.67 2.82 2.58 0.22<br />

1 value expressed as gram per kilogram body weight, 2 values expressed as a percentage of body<br />

weight, T1 =conventional dry broiler starter diet, T2= unfermented liquid diet T3= fermented liquid<br />

diet, T4 = fermented liquid feed with copper sulphate added.<br />

Data on the carcass characteristics of broiler chicks as <strong>in</strong>fluenced by the<br />

test diets (Table 3) <strong>in</strong>dicate that average live weight, dressed weight, w<strong>in</strong>gs, breast,<br />

thigh, and shank were not significantly (P>0.05) affected by the dietary treatments.<br />

Dressed weights of birds were not significantly (P>0.05) <strong>in</strong>fluenced by the test<br />

diets, but the trend showed that the highest dressed weight was with birds fed non<br />

fermented liquid feed followed by fermented liquid feed. The relative organ<br />

weights (organ weight to body weight ratios) of broiler chicks <strong>in</strong>dicated that the<br />

relative weights of liver, giz<strong>za</strong>rd and heart were not significantly (P


438<br />

E. N. Uchewa et al.<br />

Uticaj kvašenja hrane i fermentacije na proizviodne rezultate<br />

brojlerskih pilića<br />

E. N. Uchewa i P. N. Onu<br />

Rezime<br />

Cilj eksperimenta je bio da se proceni uticaj kvašenja hrane i fermentisane hrane na<br />

proizvodne performanse brojlerskih pilića. U ogledu su korišćena četiri obroka.<br />

Obrok 1, je bila konvencionalna, komercijalna starter hrana <strong>za</strong> brojlere. Obrok 2 je<br />

bila komercijalna starter smeša razređena u vodi u 1:1.2. Obrok 3 je bila<br />

komercijalna hrana razređena u vodi sa <strong>in</strong>okulantom Bactocell, fermentisana u<br />

trajanju od 24 sata na 35 o c u <strong>in</strong>kubatoru. Obrok 4 je sadržavao feremntisanu hranu<br />

gde je dodat 6% rastvor bakar sulfata u 1ml na 10g hrane i <strong>in</strong>kubiran u trajanju od<br />

24 sata. Brojlerski pilići Anak uzrasta od 180 dana su metodom slučajnog izbora<br />

podeljeni u 4 eksperimentalne grupe 180 дана старе Анак 2000 бројлерски<br />

пилићи су насумично додељују у четири експерименталнa tretmana<br />

(completely randomized design - CRD). Za svaki tretman je bilo po četiri<br />

ponavljanja - 15 grla po ponavljanju. Rezultati su poka<strong>za</strong>li da je unos hrane i<br />

prirast bili signifikantno viši (P


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22: 36-41.<br />

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feed<strong>in</strong>g for broiler f<strong>in</strong>isher dur<strong>in</strong>g wet season <strong>in</strong> the tropics. Nig. J. Anim. Prod., 2,<br />

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revised edn. Savoy, IL.<br />

KUTLU H.R., GORGULU M., DEMIR E., OZTURKCAN O. (1997): Effect of<br />

wet feed<strong>in</strong>g on performance and carcass composition of broiler chicks reared at<br />

high ambient temperature. Proceed<strong>in</strong>gs of 10th Europe. Symp. on Poultry<br />

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pigs. Ph.D Thesis, University of Plymouth, USA.<br />

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treatment on nutritional value of waxy barley fed to chicks. Poult. Sci., 64: 1514-<br />

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means and research mythology issue <strong>in</strong> laboratory and field experiments. A P<br />

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feed on cockerel chicken performance. Nig. J. Anim. Prod., 1, 52-55.<br />

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Received 15 December 2011; accepted for publication 28 june 2012<br />

439


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 441-453 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.087.7<br />

DOI: 10.2298/BAH1203441S<br />

ESTIMATION OF THE RELATIVE BIOAVAILABILITY<br />

OF SEVERAL ZINC SOURCES FOR BROILERS WHEN<br />

FED A CONVENTIONAL DIET<br />

M. Sahraei 1 , H. Janmmohamadi 2 , A. Taghi<strong>za</strong>deh 2 , G. Ali Moghadam 2 ,<br />

S. A. Rafat 2<br />

1 PhD, Student of Poultry Nutrition, Tabriz University,Tabriz, Iran,5166616471<br />

2 Prof. of Depatrment of <strong>Animal</strong> Science,Tabrize University,Tabriz, Iran, 5166616471<br />

Correspond<strong>in</strong>g Author: m.sahraei2009@gmail.com<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: An experiment was conducted with 312 day-old male broiler<br />

chicks <strong>in</strong> grower phase(8-28d) to estimate the biological availability of four<br />

sources Z<strong>in</strong>c (Zn), Z<strong>in</strong>c sulfate(ZnSO4.H2O), two sources of Z<strong>in</strong>c oxide(ZnO FG1<br />

and ZnO FG2) and Bioplex Zn. Z<strong>in</strong>c sulfate (ZnSO4.H2O) was used as the standard<br />

<strong>in</strong> the bioavailability assay. Chicks were allotted randomly to 13 dietary treatments<br />

with 6 birds per replicate and 4 replicates per treatment, that <strong>in</strong>cluded an<br />

unsupplemented corn-soybean meal basal diet (25.50 mg of Zn/kg of DM), or the<br />

basal diet supplemented with 100, 150 or 200 mg/kg of DM as either ZnSO4.H2O<br />

(33 % Zn), Z<strong>in</strong>c oxide FG1(72%Zn), Z<strong>in</strong>c oxide FG2 (75%Zn) or Bioplex Zn<br />

(15% Zn). Dietary Zn level and source had no effect (P>0.05) of feed <strong>in</strong>take or<br />

body weight ga<strong>in</strong> of chicks dur<strong>in</strong>g first and second weeks of experimental periods,<br />

but feed conversion ratio <strong>in</strong> the first and second week and feed <strong>in</strong>take, body weight<br />

ga<strong>in</strong> or feed conversion ratio <strong>in</strong> third week and total experimental periods were<br />

significant difference between treatments (P


442<br />

M. Sahraei et al.<br />

Because many natural feed <strong>in</strong>gredients are marg<strong>in</strong>ally deficient <strong>in</strong> Zn (Falchuk and<br />

Vallee, 1985; Kaim and Schwederski, 1994). The current (NRC,1994) z<strong>in</strong>c<br />

requirement for broilers is 40 mg/kg, that based upon research conducted more<br />

than 40 yr ago with animals of markedly different productive potential than those<br />

that exist today, also this requirement is based on only a few research reports, most<br />

of which were carried out us<strong>in</strong>g purified or semipurified diets with growth as the<br />

only requirement criterion (Roberson and Schaible, 1958; Zeigler et al., 1961;<br />

Emmert and Baker, 1995). Dietary Supplementation by <strong>in</strong>organic trace m<strong>in</strong>erals<br />

have traditionally provided with sufficient amounts of each m<strong>in</strong>eral to support<br />

normal growth, health, and reproduction. However, genetic improvements<br />

cont<strong>in</strong>ually change the commercial broiler stra<strong>in</strong>s, and nutritionists start to question<br />

if currently used trace m<strong>in</strong>eral levels and sources will be suitable <strong>in</strong> the future when<br />

feed<strong>in</strong>g these faster-grow<strong>in</strong>g and highly productive birds for meat and eggs (Nollet<br />

et al., 2008). Considerable confusion exists concern<strong>in</strong>g bioavailability of Zn <strong>in</strong><br />

various Zn supplements for chickens and pigs. Us<strong>in</strong>g weight ga<strong>in</strong> as a response<br />

variable, Edwards (1959) reported that Zn from analytical grade (AG) and<br />

technical grade ZnO as well as Zn metal powder was 100% bioavailable for young<br />

chicks relative to AG ZnSO4.7H2O. The next year, Roberson and Schaible (1960),<br />

also us<strong>in</strong>g chick weight ga<strong>in</strong> as the response variable, reported that ZnO was as<br />

bioavailable as ZnSO4, but they did not clearly identify either compound. Miller et<br />

al. (1981) compared AG ZnO to Zn metal dust <strong>in</strong> pigs fed a corn-soybean meal<br />

diet. Wedek<strong>in</strong>d and Baker (1990) reported relative bioavailability (RBV) values for<br />

chicks fed feed-grade (FG) Waelz-processed ZnO of 61% (weight ga<strong>in</strong>) and 44%<br />

(total tibia Zn) compared with FG ZnSO4.H2O (100%). Wedek<strong>in</strong>d et al. (1994)<br />

concluded, based on bone Zn accumulation <strong>in</strong> pigs, that FG ZnO was only<br />

approximately 68% as bioavailable as FG ZnSO4.H2O. Edwards et al. (1998)<br />

evaluated two byproducts of the galvaniz<strong>in</strong>g <strong>in</strong>dustry, Fe-ZnSO4.H2Oand Zn-<br />

FeSO4 .H2O, and found both to be as bioavailable, based on weight ga<strong>in</strong> and total<br />

tibia Zn, as FG ZnSO4.H2O. Many experiments have been conducted dur<strong>in</strong>g the<br />

last 50 yr to estimate the bioavailability of Zn <strong>in</strong> supplemental sources and dietary<br />

<strong>in</strong>gredients; however, there are considerable confusion concern<strong>in</strong>g bioavailability<br />

of this nutritionally trace element <strong>in</strong> various supplements for chickens and pigs.<br />

Us<strong>in</strong>g weight ga<strong>in</strong> as a response variable, Edwards (1959) reported that Zn from<br />

analytical grade and technical grade ZnO as well as Zn metal powder was 100%<br />

bioavailable for young chicks relative to analytical grade ZnSO4.7H2O. Some<br />

researchers (Spears, 1989;Wedek<strong>in</strong>d et al., 1992) have reported greater bio-efficacy<br />

for organic Zn sources than that observed for <strong>in</strong>organic forms, <strong>in</strong>clud<strong>in</strong>g Zn oxide<br />

and Zn sulfate; consequently, organic forms of the trace element have been used<br />

with <strong>in</strong>creas<strong>in</strong>g pattern by the feed <strong>in</strong>dustry. An enhanced bioavailability of a<br />

m<strong>in</strong>eral source could reduce the amount of a m<strong>in</strong>eral that is added to a diet to meet<br />

m<strong>in</strong>eral nutritional requirements, which would reduce the amount of m<strong>in</strong>eral<br />

excreted by birds (Cheng et al., 1998). The use of organic complexes of trace<br />

element, such as Zn-lys<strong>in</strong>e (ZnLys) and Zn methion<strong>in</strong>e (ZnMet), has received more


Estimation of the relative bioavailability ...<br />

attention because of The data reported by Wedek<strong>in</strong>d et al. (1992) <strong>in</strong>dicated that, for<br />

chicks fed corn-soybean meal diets, Zn from a Zn methion<strong>in</strong>e complex was 206%<br />

bioavailable relative to a ZnSO4.H2O standard (i.e. 100%), where ZnO provided<br />

only 61% bioavailable Zn. There are conflict<strong>in</strong>g data reported regard<strong>in</strong>g the<br />

relative efficacy of different organic versus <strong>in</strong>organic Zn sources <strong>in</strong> enhanc<strong>in</strong>g<br />

broiler performance. The research presented here<strong>in</strong>, therefore, aimed to compare<br />

bio-efficacy of various <strong>in</strong>organic and organic Zn compounds <strong>in</strong> the light of their<br />

effects on the performance of broiler chicks fed corn-soybean meal diets.<br />

Materials and Methods<br />

Birds, treatments and manag<strong>in</strong>g program<br />

This study was conducted <strong>in</strong> the poultry research farm of Tabriz<br />

University (Tabriz, Iran). A total of 312 day-old Ross308 male broiler chicks were<br />

randomly allotted to four pen replicates of six birds for each of 13 dietary<br />

treatments such that each pen had a similar <strong>in</strong>itial weight and weight distribution.<br />

Table 1: Composition of the basal diets<br />

Ingredients (%) (8-28d)<br />

Corn 55.90<br />

Corn Starch 0.05<br />

Soybean meal 36.60<br />

Soybean oil 3.60<br />

Di-Calcium phosphate 1.50<br />

Caco3 1.35<br />

Salt 0.25<br />

DL-methion<strong>in</strong>e 0.15<br />

L-lys<strong>in</strong>e 0.10<br />

Vitam<strong>in</strong> premix a 0.25<br />

Zn free m<strong>in</strong>eral premix b 0.25<br />

Nutrient composition<br />

Metaboli<strong>za</strong>ble energy (Kcal/kg) 3000<br />

Crude prote<strong>in</strong>(%) 21.00<br />

Calcium 0.95<br />

Available Phosphorus(%) 0.44<br />

Lys<strong>in</strong>e (%) 1.19<br />

Methion<strong>in</strong>e (%) 0.49<br />

Z<strong>in</strong>c (mg/kg) 25.50<br />

a:Supplied per kg diet: 11,025 I.U. vitam<strong>in</strong> A, 3,528 I.U. vitam<strong>in</strong> D3, 33 I.U. vitam<strong>in</strong> E, 0.91 mg; vitam<strong>in</strong> K, 2 mg<br />

thiam<strong>in</strong>, 8 mg riboflav<strong>in</strong>, 55 mg niac<strong>in</strong>, 18 mg Ca pantothenate, 5 mg vitam<strong>in</strong> ;B6, 0.221 mg biot<strong>in</strong>, 1 mg folic<br />

acid,478 mg chol<strong>in</strong>e, 28 μg vitam<strong>in</strong> B12<br />

b:Z<strong>in</strong>c-free m<strong>in</strong>eral premix. Provided per kilogram of diet: Mn (fromMnSO4 H2O), 60 mg; Fe (from<br />

FeSO4 7H2O), 50 mg; Cu (from CuSO4 5H2O), 6 mg; I (from Ca (IO3)2 H2O), 1 mg; Se, 0.20 mg.<br />

The basal corn-soybean meal diets (Table 1) conta<strong>in</strong><strong>in</strong>g 25.50 mg Zn/kg as<br />

fed basis (by analysis) were formulated to meet or exceed nutritional requirements<br />

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444<br />

M. Sahraei et al.<br />

of broiler chicks (NRC, 1994) grower stages from 8-28 d. Dietary treatments<br />

<strong>in</strong>cluded the basal diet or basal diet supplemented with 100, 150, or 200 mg/kg<br />

added Zn as feed-grade Zn sulfate , Zn oxide feed- grade1, Zn oxide feed- grade2<br />

and Bioplex Zn (as organically Zn compounds). The basal diets were formulated<br />

us<strong>in</strong>g Zn-free m<strong>in</strong>eral premix, so that conta<strong>in</strong>ed m<strong>in</strong>imum amount of z<strong>in</strong>c. A s<strong>in</strong>gle<br />

batch of basal feed was mixed and divided <strong>in</strong>to 13 aliquots accord<strong>in</strong>g to the<br />

experimental treatment, Each Zn source was mixed with cornstarch to the same<br />

weight and mixed with each aliquot of the basal diet. All of the diets were<br />

calculated to conta<strong>in</strong> equal concentrations of methion<strong>in</strong>e, lys<strong>in</strong>e and other nutrients<br />

except of Zn. Chicks were housed <strong>in</strong> the cage pens which placed at<br />

thermostatically-controlled room. Chicks were ma<strong>in</strong>ta<strong>in</strong>ed on a 24 h constant<br />

light<strong>in</strong>g regimen and had free access to feed and tap water conta<strong>in</strong><strong>in</strong>g no detectable<br />

Zn <strong>in</strong> all times. Feed and water were provided us<strong>in</strong>g plastic <strong>in</strong>struments to<br />

m<strong>in</strong>imize environmental Zn contam<strong>in</strong>ation.<br />

Chemical analysis<br />

Prior to formulat<strong>in</strong>g the diets, the <strong>in</strong>gredients and Zn sources used were<br />

analyzed for crude prote<strong>in</strong>, ether extract, crude fiber, and ash content accord<strong>in</strong>g to<br />

standard procedures (AOAC,1995). Z<strong>in</strong>c concentrations <strong>in</strong> Zn sources, diets and<br />

water were determ<strong>in</strong>ed by atomic absorption spectrophotometery (Perk<strong>in</strong> Elmer,<br />

Precisely A Analyst 200, Absorption spectrophotometer).<br />

Data collection<br />

Body weight, body weight ga<strong>in</strong>, feed conversion ratio and Zn <strong>in</strong>take were<br />

recorded weekly and overall experimental period. Relative bioavailability values<br />

were estimated by a slope ratio techniques from regression of weight ga<strong>in</strong> on Zn<br />

<strong>in</strong>take with ZnSO4.H2O as the standard source at 100% (F<strong>in</strong>ney,1978, Littell et al.,<br />

1997). Because feed <strong>in</strong>take differences among treatments could affect Zn <strong>in</strong>take,<br />

regressions were calculated us<strong>in</strong>g dietary Zn <strong>in</strong>take (based on Zn assays of diets) as<br />

the <strong>in</strong>dependent variable rather than added Zn concentrations (Wedek<strong>in</strong>d et al.,<br />

1992, Li et al.,2004).<br />

Statistical analysis<br />

Pen means data were subjected to ANOVA procedures of SAS, PC version<br />

6.12 (1999), appropriate for completely randomized designs. Regression equations<br />

for the ZnSO4.H2O standard curves were derived us<strong>in</strong>g M<strong>in</strong>itab 10. Weight ga<strong>in</strong><br />

was regressed on supplemental Zn <strong>in</strong>take from ZnSO4.H2O, and Zn bioavailabilities<br />

<strong>in</strong> the test sources of Zn were determ<strong>in</strong>ed us<strong>in</strong>g standard-curve<br />

methodology .Relative bioavailability estimates were calculated for each of the<br />

four replicate pens that were fed each experimental Zn source. Duncan’s multiple<br />

range tests (Duncan, 1955) was used to separate treatment means at p


Results and discussion<br />

Estimation of the relative bioavailability ...<br />

Chemical characteristics of m<strong>in</strong>eral sources are presented <strong>in</strong> Tables 2. The<br />

Z<strong>in</strong>c sources studied here<strong>in</strong> (z<strong>in</strong>c sulfate, Z<strong>in</strong>c oxide FG1, Z<strong>in</strong>c oxide FG2 and<br />

Bioplex Zn) were determ<strong>in</strong>ed to be conta<strong>in</strong><strong>in</strong>g 32, 72, 75 and 15% z<strong>in</strong>c as fed<br />

basis, respectively.<br />

Table 2. Characteri<strong>za</strong>tion of z<strong>in</strong>c sources under <strong>in</strong>vestigation<br />

Zn source a<br />

Zn level, % b<br />

Color<br />

ZnSO 4.H 2O(FG) 33 White<br />

ZnO(FG 1) 72 White<br />

ZnO(FG 1) 75 White<br />

Bioplex Zn c<br />

a FG: feed grade.<br />

b Determ<strong>in</strong>ed from atomic absorption spectrophotometery.<br />

c Supplied by Alltech <strong>Biotechnology</strong><br />

15 Yellow<br />

The effects of source and supplemental z<strong>in</strong>c level on performance<br />

parameters are shown <strong>in</strong> Table 3. The Zn source and concentration did not affect<br />

Feed <strong>in</strong>take (FI) or weight ga<strong>in</strong> (WG), <strong>in</strong> the first or second week and body weight<br />

(BW) <strong>in</strong> 14 d,21d and 28d (P>0.05) but feed conversion ratio(FCR) <strong>in</strong> all<br />

experimental periods, Feed <strong>in</strong>take (FI) or weight ga<strong>in</strong> (WG) <strong>in</strong> the third week and<br />

overall trial periods were, significantly (p


446<br />

M. Sahraei et al.


Estimation of the relative bioavailability ...<br />

As presented <strong>in</strong> Table 4, the relative biological availability values us<strong>in</strong>g<br />

body weight ga<strong>in</strong> as criteria were estimated to be 59, 99 or 45 for three levels of<br />

Z<strong>in</strong>c oxide FG1, 64, 78 or 31 for three levels of Z<strong>in</strong>c oxide FG2 and 151, 200 or<br />

147 for three levels of Bioplex Zn, respectively. The highest RBV of different Z<strong>in</strong>c<br />

sources was observed <strong>in</strong> the 150 ppm levels of these sources when used <strong>in</strong> diets.<br />

Table4. Estimated relative Zn bioavailability values of weight ga<strong>in</strong>(g/21d) on dietary z<strong>in</strong>c<br />

sources <strong>in</strong>take (mg/21d) (Zn from ZnSO4.H 2O set at 100%) a<br />

Z<strong>in</strong>c source<br />

Added<br />

Zn,ppm<br />

Regression<br />

equation b<br />

RBV(%) c<br />

100 Y= 135+8.87X 100 0.86<br />

Sulfate 150 Y=239+5.81X 100 0.93<br />

200 Y=-79.7+8.16X 100 0.98<br />

100 Y=154+5.25X 59 0.86<br />

Oxide FG1 150 Y=-35+5.15X 99 0.91<br />

200 Y=37.5+3.75X 45 0.99<br />

100 Y=124+5.69X 64 0.91<br />

Oxide FG2 150 Y=95+4.54X 78 0.94<br />

200 Y=265+2.52X 31 0.53<br />

100 Y= 37.3+13.4X 151 0.96<br />

Bioplex 150 Y=55+11.6X 200 0.94<br />

200 Y=-57.2+12X 147 0.98<br />

aData are means of four pens of six male chicks fed the experimental diets for 21d (d 8 to d 28 posthatch<strong>in</strong>g);<br />

average <strong>in</strong>itial weight was 92 g.<br />

bStandard curve for weight ga<strong>in</strong> (Y, <strong>in</strong> g/21 d) regressed on supplemental Zn <strong>in</strong>take (X, <strong>in</strong> mg/21 d) from different<br />

z<strong>in</strong>c sources.<br />

cRelative bioavailability (RBV) was calculated from the standard curve regressions, sett<strong>in</strong>g RBV of Zn <strong>in</strong> the<br />

ZnSO4.H2O standard at 100%.<br />

Supplementation of Zn to the basal diet at graded levels had no significant<br />

<strong>in</strong>fluence on body weight ga<strong>in</strong> and feed <strong>in</strong>take at 3week of age (Table 3). This was<br />

<strong>in</strong> agreement with the f<strong>in</strong>d<strong>in</strong>gs of Burrell et al. (2004) who found that a practical<br />

diet of maize-soybean meal conta<strong>in</strong><strong>in</strong>g 30 ppm of Zn was adequate to support<br />

optimum performance dur<strong>in</strong>g the <strong>in</strong>itial 3 week of age. Similarly, others (Stahl, et<br />

al., 1986) reported that a basal diet conta<strong>in</strong><strong>in</strong>g 37 ppm of Zn was optimum for<br />

realiz<strong>in</strong>g good growth <strong>in</strong> chicks and additional supplementation had no added<br />

advantage. In another study with male broiler chicks, little effect was found on<br />

body weight, feed efficiency, or livability with supplementation of Zn up to 6 week<br />

of age because the basal diet conta<strong>in</strong>ed 44 ppm of Zn. The present study also<br />

<strong>in</strong>dicated that the Zn content available <strong>in</strong> cornsoybean diet (25.50 ppm) was<br />

R 2<br />

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448<br />

M. Sahraei et al.<br />

adequate to susta<strong>in</strong> growth and other related parameters at par with those<br />

supplemented with Zn up to 4 week of age. Obviously, this level was lower than<br />

that recommended by NRC (1994) (40 ppm) for broiler chicks. The absence of any<br />

difference <strong>in</strong> performance between groups fed diets with or without supplemental<br />

Zn could be due to slower rate of Zn utili<strong>za</strong>tion, necessitat<strong>in</strong>g no further<br />

replenishment <strong>in</strong> diets (Coll<strong>in</strong>s and Moran, 1999). The lack of <strong>in</strong>crease <strong>in</strong> feed<br />

<strong>in</strong>take or body weight ga<strong>in</strong> with added Zn <strong>in</strong> this phase <strong>in</strong>dicates that the amount of<br />

the element <strong>in</strong> the non-supplemented basal diet was adequate for growth specially<br />

until 21 day of life despite of the fact that NRC (1994) suggested that 40 mg/kg as<br />

the requirement for broiler chicks. The contribution of Zn from the rema<strong>in</strong><strong>in</strong>g yolk<br />

sac and easier permeability of the still develop<strong>in</strong>g gastro<strong>in</strong>test<strong>in</strong>al tract may have<br />

contributed to this observation (Cao et al., 2002). Also the lack of responses <strong>in</strong><br />

feed <strong>in</strong>take and weight ga<strong>in</strong> to added Zn levels up to 100 ppm, probably due to<br />

<strong>in</strong>creased synthesis of <strong>in</strong>test<strong>in</strong>al metallothione<strong>in</strong>. Z<strong>in</strong>c <strong>in</strong>take has been shown to<br />

<strong>in</strong>duce <strong>in</strong>test<strong>in</strong>al metallothione<strong>in</strong> synthesis (Sandoval et al., 1997). Increased<br />

synthesis of this z<strong>in</strong>c b<strong>in</strong>d<strong>in</strong>g prote<strong>in</strong> is associated with reduced z<strong>in</strong>c absorption.<br />

This prote<strong>in</strong> will <strong>in</strong>fluence the regulation of Zn absorption and possibly the<br />

response of broiler chicks to supplemental levels of z<strong>in</strong>c from different sources.<br />

But the improvements effects of add<strong>in</strong>g different z<strong>in</strong>c sources of FCR <strong>in</strong> week3<br />

and total experimental periods <strong>in</strong>dicated that the us<strong>in</strong>g of this supplement might be<br />

suitable <strong>in</strong> practical diet of broilers <strong>in</strong> grower phase. Bioavailability of trace<br />

m<strong>in</strong>erals is def<strong>in</strong>ed as the proportion of the <strong>in</strong>gested element that is absorbed,<br />

transported to its site of action, and converted to a physiologically active form<br />

(Ammerman et al., 1995). Thus, bioavailability implies not only absorption but also<br />

utili<strong>za</strong>tion of the m<strong>in</strong>eral for a specific function. However, it is difficult to<br />

quantitatively evaluate the actual utili<strong>za</strong>tion of an element with a response criterion<br />

of sufficient sensitivity to determ<strong>in</strong>e statistical differences with a small population<br />

of animals (Li et al., 2005). The old experiments designed to assay the<br />

bioavailability of Zn usually used purified diets supplemented with low<br />

concentrations of Zn and growth performance and tibia Zn concentration as the<br />

response criteria (Edwards, 1959; Wedek<strong>in</strong>d and Baker, 1990). But, the estimate<br />

determ<strong>in</strong>ed <strong>in</strong> a purified diet might not be applicable to practical diets because of<br />

the absence of phytate and fiber (Wedek<strong>in</strong>d et al., 1992). Therefore, the later<br />

experiments were designed to use a corn-soybean meal diet with a short-term,<br />

high-supplemental Zn to determ<strong>in</strong>e relative bioavailability based on weight ga<strong>in</strong> as<br />

a simple assay factor (Cao et al., 1996, 2000; Sandoval et al., 1997). The method<br />

offers several advantages <strong>in</strong> assess<strong>in</strong>g Zn bioavailability such as: m<strong>in</strong>imiz<strong>in</strong>g the<br />

effect of decreased feed <strong>in</strong>take and also the applicability of the results to<br />

commercial conditions, the diet is less expensive than semi-purified or purified<br />

diets, the diet more palatable, therefore enabl<strong>in</strong>g maximum genetic growth<br />

potential and the extrapolative value of the results is good, because the<br />

conventional soybean meal diet is like to that used <strong>in</strong> commercial conditions


Estimation of the relative bioavailability ...<br />

(Wedek<strong>in</strong>d et al.,1992). Based on those f<strong>in</strong>d<strong>in</strong>gs, a practical corn soybean meal diet<br />

(25.50 mg of Zn/kg) and 4 supplemental Zn concentrations (0, 100, 150, 200 mg<br />

Zn/kg) were chosen <strong>in</strong> our study. In this experimental design, f<strong>in</strong>d<strong>in</strong>g a criterion<br />

that responds <strong>in</strong> a l<strong>in</strong>ear manner to dietary added Zn <strong>in</strong>take is most difficult and<br />

important. Weight ga<strong>in</strong>s is one method to measure utili<strong>za</strong>tion but is generally a<br />

fairly unresponsive criterion for many m<strong>in</strong>eral elements (Luo et al., 2007). In the<br />

present study, bioavailability estimates of Zn from the tested sources were based on<br />

weight ga<strong>in</strong>s (Table 4) the best relative bioavailability value (RBV) was observed<br />

<strong>in</strong> 150 mg of Zn/kg of basal diet <strong>in</strong> different Z<strong>in</strong>c sources relative to Z<strong>in</strong>c sulfate<br />

as a standards. Also three levels of the Bioplex Zn had higher RBV than other<br />

Z<strong>in</strong>c sources. The lower bioavailability observed for Zn oxide sources compared to<br />

Zn sulfate <strong>in</strong> the studies reported here<strong>in</strong> is <strong>in</strong> agreement with Wedek<strong>in</strong>d and Baker<br />

(1990). The feed<strong>in</strong>g study performed by Leeson (2003) showed that the<br />

bioavailability of prote<strong>in</strong>ated forms of elements supplemented to the diet for<br />

broilers was at least by 30% higher than that of <strong>in</strong>organic forms of elements. The<br />

greater bioefficacy of ZnMet and/or ZnLys relative to sulfate or oxide forms<br />

suggests that the metabolism of these Zn complexes differs from metabolism of Zn<br />

supplied by <strong>in</strong>organic Zn sources. These results would suggest that the major<br />

differences <strong>in</strong> Zn bioavailability among different Zn sources can be attributed to<br />

differences <strong>in</strong> absorption, and that once absorbed, differences <strong>in</strong> Zn utili<strong>za</strong>tion<br />

among sources reflect differences <strong>in</strong> net utili<strong>za</strong>tion. These differences <strong>in</strong> utili<strong>za</strong>tion<br />

may reflect differences <strong>in</strong> endogenous Zn loss, which has been shown to <strong>in</strong>crease<br />

due to homeostatic mechanisms with <strong>in</strong>creas<strong>in</strong>g Zn absorption (Weigand and<br />

Kirchgessner, 1980). In poultry and sw<strong>in</strong>e nutrition, it is difficult to avoid the<br />

presence of phytates as they are the ma<strong>in</strong> storage forms of P <strong>in</strong> seeds. Diets based<br />

on corn and soybean meal generally conta<strong>in</strong> between 2.0 and 2.5 g phytic P / kg.<br />

Z<strong>in</strong>c content <strong>in</strong> feed components from plant orig<strong>in</strong> is positively correlated to the<br />

phytic P content, with ~10 mg of Zn to 1 g phytic P (Revy et al., 2003). It is<br />

suggested that Zn from organic sources is protected by the ligand from react<strong>in</strong>g<br />

with feed antagonists, such as phytate to form <strong>in</strong>soluble complexes. Z<strong>in</strong>c from<br />

organic sources is absorbed by the <strong>in</strong>test<strong>in</strong>al cells as an ion, or it is also suggested<br />

that Zn is absorbed <strong>in</strong>tact thanks to a second absorption pathway related to the<br />

ligand. Also a review of Zn bio-availability data (Ledoux, 2005; Wedek<strong>in</strong>d et al.,<br />

1992) <strong>in</strong>dicates that <strong>in</strong> most studies, organic m<strong>in</strong>eral sources were at least as<br />

available as the standard <strong>in</strong>organic sources, and <strong>in</strong> some cases were more available.<br />

One of the hypothesized reasons for <strong>in</strong>creased bioavailability of organic m<strong>in</strong>erals is<br />

that this form of m<strong>in</strong>eral is protected form unwanted <strong>in</strong>teractions <strong>in</strong> the<br />

gastro<strong>in</strong>test<strong>in</strong>al tract. Conversely, some reports have shown no <strong>in</strong>fluences of<br />

complex<strong>in</strong>g with an organic ligand (prote<strong>in</strong>, methion<strong>in</strong>e, or lys<strong>in</strong>e) on m<strong>in</strong>eral (Zn<br />

and Mn) bioavailability (Aoyagi and Baker,1993; Pimental, et. al., 1991;Baker and<br />

Halp<strong>in</strong>,1987).The discrepancy of the results <strong>in</strong> different experiments might be<br />

449


450<br />

M. Sahraei et al.<br />

relate to the difference <strong>in</strong> the age of the chicks when feed<strong>in</strong>g high Zn commenced,<br />

duration of feed<strong>in</strong>g, dietary Zn concentration, and previous body stores.<br />

Conclusion<br />

The results of this study showed that <strong>in</strong> corn soybean meal diets the<br />

highest RBV of different z<strong>in</strong>c sources were observed <strong>in</strong> 150ppm concentration,<br />

and Bioplex Zn was more bio-availabile than z<strong>in</strong>c sulfate or z<strong>in</strong>c oxide <strong>in</strong><br />

practical diets.<br />

Procena relativne biološke dostupnosti nekoliko izvora c<strong>in</strong>ka<br />

u ishrani brojlera konvencionalnom obrokom<br />

M. Sahraei, H. Janmmohamadi, A. Taghi<strong>za</strong>deh, G. Ali Moghadam, S. A. Rafat<br />

Rezime<br />

Ogled je izveden sa brojlerskim pilićima muškog pola, u fazi porasta (8-<br />

28d) u cilju procene biološke dostupnosti četiri izvora c<strong>in</strong>ka (Zn), c<strong>in</strong>k sulfat<br />

(ZnSO4.H2O), dva izvora c<strong>in</strong>k oksida (ZnO FG1 i ZnO FG2) i Bioplex Zn. C<strong>in</strong>k<br />

sulfat (ZnSO4.H2O) je korišćen kao standard u ispitivanju biološke dostupnosti.<br />

Pilići su nasumično podeljeni u 13 prehrambenih tretmana sa po 6 grla po<br />

ponavljanju i 4 ponavljanja po tretmanu, koji je uključivao obrok na bazi kukuru<strong>za</strong><br />

i soj<strong>in</strong>e sačme (25.50 mg Zn / kg SМ), ili osnovni obrok dopunjen sa 100, 150 ili<br />

200 mg / kg SМ bilo kao ZnSO4.H2O (33 % Zn), c<strong>in</strong>k oksid FG1(72% Zn), c<strong>in</strong>k<br />

oksid FG2(75% Zn) ili Bioplex Zn(15% Zn). Nivo Zn u obroku kao i izvor nisu<br />

imali uticaj (P>0.05) na unos hrane ili prirast brojlera tokom prve i druge nedelje<br />

eksperimentalnog perioda, ali kod parametara konverzija hrane u prvoj i drugoj<br />

nedelji ogleda, kao i unosa hrane, prirasta i konverzije u trećoj nedelji, kao i u<br />

celom ogledu, utvrđene su signifikante razlike između tretmana (P


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z<strong>in</strong>c as the sulfate, oxide or carbonate. Poult. Sci.39:835-837.<br />

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LITTELL.(1997): Relative bioavailability of supplemental <strong>in</strong>organic z<strong>in</strong>c sources<br />

for chicks. J. Anim. Sci. 75:3195-3205.<br />

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65:2104–2109.<br />

SPEARS, J. W.(1989): Z<strong>in</strong>c methion<strong>in</strong>e for rum<strong>in</strong>ants: Relative bioavailability of<br />

z<strong>in</strong>c <strong>in</strong> lambs and effects of growth and performance of grow<strong>in</strong>g heifers. J. Anim.<br />

Sci. 67:835-843.<br />

WEDEKIND, K. J. and D. H. BAKER.(1990): Z<strong>in</strong>c bioavailability <strong>in</strong> feed-grade<br />

sources of z<strong>in</strong>c. J. Anim. Sci. 68:684-689.<br />

WEDEKIND, K. J. A. E. HORTIN and D. H. BAKER .(1992): Methodology for<br />

assess<strong>in</strong>g z<strong>in</strong>c bioavailability: Efficacy estimates for z<strong>in</strong>c-methion<strong>in</strong>e, z<strong>in</strong>c sulfate,<br />

and z<strong>in</strong>c oxide. J.<br />

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WEDEKIND, K. J., A. J. LEWIS, M. A. GIESEMANN, and P. S.<br />

MILLER.(1994): Bioavailability of z<strong>in</strong>c from <strong>in</strong>organic and organic sources for<br />

pigs fed corn-soybean meal diets. J. Anim. Sci. 72:2681–2689.<br />

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Received 8 march 2012; accepted for publication 15 May 2012<br />

453


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 455-462 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.082’4<br />

DOI: 10.2298/BAH1203455V<br />

HERITABILITY AND REPEATABILITY ESTIMATES OF<br />

REPRODUCTION TRAITS IN PUREBRED PIGS<br />

V. Vidovic 1 , D. Lukac 1 , M. Stupar 1 , V. Višnjic 2 , J. Krnjaic 3<br />

1<br />

Faculty of Agriculture, Department of <strong>Animal</strong> Science, Trg Dositeja Obradovica 8, 21 000 Novi Sad,<br />

Republic of Serbia<br />

2<br />

SIZIM DOO, Veliki Otok bb, 48 317 Legrad, Croatia<br />

3<br />

Delta Agrar, Napredak AD, Golub<strong>in</strong>acki put bb, 22300 Stara Pazova, Republic of Serbia<br />

Correspond<strong>in</strong>g author: vidovic.vitomir@gmail.com<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: Research was performed on four farms, on 2434 highly fertile<br />

females Landrace and Yorkshire, and 28 boars of Danish orig<strong>in</strong>, or 7684<br />

consecutive parities, <strong>in</strong> period 2009 - 2012. Study of genetic parameters of<br />

conventional breeds Landrace and Yorkshire were conducted on 3964 females who<br />

mated with 49 males or 15764 litters <strong>in</strong> the same period. Estimates of genetic<br />

parameters for litter size show the same tendency as the legality of the purebred<br />

sows that produce 11-14 weaned piglets less per sow per year. Environmental<br />

factors, HYS, food technology and management expressed no significant effect on<br />

traits. Heritability and repeatability of live and still born piglets, litter size and the<br />

live at day 5 after birth and the number of piglets weaned <strong>in</strong> category of low<br />

hereditary traits whose values vary with<strong>in</strong> the limits of 0.07 to 0.12 for the<br />

heritability and from 0.15 to 0.19 for the repeatability. There was tendency of<br />

lower values of genetic parameters <strong>in</strong> the conventional compared to highly fertile<br />

sows, which is considered to be the effect of selection on gene frequency for the<br />

observed traits.<br />

Key words: genetic parameters, reproduction traits, pigs<br />

Introduction<br />

The genetic parameters are used by producers and breeders, primarily to<br />

study the natural action of genes, namely additive ones. Also that can be used for<br />

modell<strong>in</strong>g of selection criteria, and selection direction of breed<strong>in</strong>g. The nucleus of<br />

the farms is genetically superior material, completely healthy and used to produce<br />

desirable effects <strong>in</strong> the selection of pure breed and hybrid animals of both sexes.<br />

The current strategy of selection and crossbreed<strong>in</strong>g showed significant<br />

improvement when talk<strong>in</strong>g about litter size at birth and wean<strong>in</strong>g. This is obta<strong>in</strong>ed<br />

by select<strong>in</strong>g Landrace and Yorkshire pigs, particularly those orig<strong>in</strong>at<strong>in</strong>g from<br />

Denmark, which produce 11-14 more weaned piglets per sow per year over the


456<br />

V. Vidovic et al.<br />

exist<strong>in</strong>g selection. The selection <strong>in</strong> our conditions showed almost identical pattern.<br />

A similar trend was also observed <strong>in</strong> hybrid sows. We analysed the value of<br />

population genetic parameters <strong>in</strong> sows that were highly fertile sows and the same<br />

breed, national - conventional selection, which produce significantly less piglets<br />

per unit of time.<br />

The purpose of study is to estimate and compare values of genetic<br />

parameters for traits like: litter size and weight at birth and wean<strong>in</strong>g <strong>in</strong> female with<br />

such a high level of fertility compared to the conventional local selection of the<br />

same breed.<br />

Materials and methods<br />

Research was performed on 2434 female Landrace and Yorkshire animals,<br />

and 28 boars of Danish orig<strong>in</strong>, born locally, or 7684 consecutive parities, <strong>in</strong> the<br />

period 2009 - 2012. Study of the genetic parameters of conventional Landrace and<br />

Yorkshire breeds were conducted on 3964 females who mated with 49 boars and<br />

produced 15764 litters <strong>in</strong> the same period.<br />

Mixed model equations (MME) was used to analyse available data, the model 1.<br />

Yijkl = µ + Ki + GSij + Pijk * Eijkl<br />

Yijkl – the observed traits;<br />

µ - general mean value;<br />

Ki – random sire effect;<br />

GSij – fixed effect of differences between farms, years and seasons;<br />

Pijk – effect of farrow<strong>in</strong>g (parity);<br />

Eijkl – random error.<br />

Analysed traits are: age of sows at first farrow<strong>in</strong>g, number of live and still born<br />

pigs, live born piglets five days after birth, litter size and weight at wean<strong>in</strong>g.<br />

Duration of lactation was 28 days. Diet of lactat<strong>in</strong>g sows was ad libitum and<br />

determ<strong>in</strong>ed with<strong>in</strong> the efficient technology, accord<strong>in</strong>g to stage of lactation and<br />

production. Technology diet was the same at all stages of production.<br />

Results and Discussion<br />

The results are shown <strong>in</strong> Tables 1-9. Age of sows at first farrow<strong>in</strong>g was<br />

366 <strong>in</strong> Landrace and 372 days <strong>in</strong> Yorkshire breed. Sows conventional Landrace<br />

and Yorkshire were younger 32 and 42 days compared to highly fertile animals.<br />

Indirectly, conventional sows were lighter before the <strong>in</strong>sem<strong>in</strong>ation and farrow<strong>in</strong>g<br />

for 29-32 kg body weight (Table 1).


Heritability and repeatability ...<br />

Table 1. Age at 1 st farrow<strong>in</strong>g, body weight at <strong>in</strong>sem<strong>in</strong>ation and farrow<strong>in</strong>g of prolificacy and<br />

conventional selection of Landrace and Yorkshire<br />

Traits<br />

Prolificacy<br />

Landrace Yorkshire<br />

Conventional<br />

Landrace Yorkshire<br />

Age at 1 st<br />

farrow<strong>in</strong>g<br />

366 372 334 330<br />

Weight at<br />

138 142 109 110<br />

<strong>in</strong>sem<strong>in</strong>ation<br />

Weight at<br />

farrow<strong>in</strong>g<br />

188 195 156 163<br />

Litter size at farrow<strong>in</strong>g and wean<strong>in</strong>g did not differ significantly <strong>in</strong> some<br />

farrow<strong>in</strong>gs between the two breeds, but with<strong>in</strong> the breed with the expected trend,<br />

and therefore have identical criteria for selection. There were no differences <strong>in</strong><br />

weight or the number of piglets at wean<strong>in</strong>g. Number of piglets five days after birth<br />

was less than the number of live born to 0.7. These differences are small pigs,<br />

which are the result of high selection pressure by <strong>in</strong>creas<strong>in</strong>g the genotype of this<br />

traits, i.e., more piglets at farrow<strong>in</strong>g, and the possibility of optimal nutrition <strong>in</strong><br />

piglets to be uniform on born. Also, this is partly a consequence of the lack of milk<br />

for such a large number of piglets born. These two traits are important and open<br />

questions for future work of breeders and nutritionists (Table 2 and 3). Almost the<br />

same is the case <strong>in</strong> conventional breeds. However, the highly fertile breed, <strong>in</strong><br />

average, has higher values of genetic parameters for all analysed properties which<br />

is considered the contribution of selection.<br />

Table 2. Litter size of prolificacy and conventional selection of Landrace<br />

Farrow<strong>in</strong>g Prolificacy Conventional<br />

Alive born Still born Weaned Alive born Still born Weaned<br />

1. 13.8 2.3 13.1 10.8 0.9 9.3<br />

2. 14.3 2.4 13.6 11.3 1.3 10.6<br />

3. 15.0 2.8 13.8 11.6 1.3 10.8<br />

4. 14.4 2.7 13.6 11.9 1.7 11.0<br />

5. 14.1 2.6 13.4 12.1 1.9 11.1<br />

1+2+3+4+5 14.4 2.5 13.6 11.4 1.6 10.9<br />

Table 3. Litter size of prolificacy and conventional selection of Yorkshire<br />

Farrow<strong>in</strong>g<br />

Prolificacy Conventional<br />

Alive born Still born Weaned Alive born Still born Weaned<br />

1. 13.6 2.4 12.9 10.0 0.9 9.0<br />

2. 14.3 2.4 13.7 10.2 1.3 10.0<br />

3. 14.9 2.6 13.9 11.1 1.6 10.3<br />

4. 14.0 2.3 13.5 11.3 1.8 10.6<br />

5. 14.8 2.8 13.8 11.1 2.4 10.4<br />

1+2+3+4+5 14.5 2.5 13.5 10.6 1.9 10.2<br />

457


458<br />

V. Vidovic et al.<br />

All the factors (sire, FYS and farrow<strong>in</strong>g) have a significant <strong>in</strong>fluence on<br />

observed traits. Similar results have been reported by (Vidovic et al., 2011a; V<strong>in</strong>cek<br />

2005; Radojkovic et al., 2005: Vidovic, 1976). This <strong>in</strong>dicator shows that despite the<br />

modern conditions of keep<strong>in</strong>g pigs <strong>in</strong> a farm where automatic control of production<br />

parameters such as light, humidity and temperature, are not balanced with females<br />

genome, which means that research is needed to improve the environment.<br />

Farrow<strong>in</strong>g had a significant impact on the observed traits of both conventional as<br />

and highly fertile sows mean<strong>in</strong>g that further studies are needed to stabilize the<br />

genome of these breeds.<br />

Table 4. The heritability of litter size of prolificacy Landrace<br />

Farrow<strong>in</strong>g Age at<br />

farrow<strong>in</strong>g Alive born Still born 5 th day Weaned<br />

1. 0.15 0.12 0.05 0.10 0.11<br />

2. - 0.11 0.02 0.09 0.10<br />

3. - 0.09 0.05 0.08 0.10<br />

4. - 0.09 0.03 0.08 0.09<br />

5. - 0.09 0.04 0.10 0.08<br />

1+2+3+4+5 - 0.10 0.03 0.09 0.10<br />

Heritability and repeatability were not significantly different compared to<br />

conventional selection of breeds which have much lower genetic potential (Vidovic<br />

et al., 2011b; Vidovic et al., 2011c; Tret<strong>in</strong>jak et al., 2009; Chen et al., 2003; Lucia<br />

et al., 2002; Crump et al., 1997; Gordon 1997; Hue et al., 1993, Petrovic et<br />

al.,1991). This justifies the use of new knowledge <strong>in</strong> the area optimi<strong>za</strong>tion of<br />

environment, optimi<strong>za</strong>tion technology feed<strong>in</strong>g sows and age with weight the<br />

<strong>in</strong>troduc<strong>in</strong>g of the reproduction.<br />

Table 5. The heritability of litter size at conventional selection of Landrace<br />

Farrow<strong>in</strong>g Age at<br />

Born<br />

farrow<strong>in</strong>g Alive born Still born 5 th day Weaned<br />

1. 0.12 0.10 0.05 0.11 0.10<br />

2. - 0.09 0.02 0.09 0.10<br />

3. - 0.09 0.02 0.09 0.09<br />

4. - 0.08 0.04 0.11 0.11<br />

5. - 0.07 0.05 0.10 0.11<br />

1+2+3+4+5 - 0.10 0.04 0.11 0.11


Heritability and repeatability ...<br />

Table 6. The heritability of litter size of prolificacy Yorkshire<br />

Farrow<strong>in</strong>g Age at<br />

Born<br />

farrow<strong>in</strong>g Alive born Still born 5 th day Weaned<br />

1. 0.21 0.12 0.03 0.07 0.10<br />

2. - 0.09 0.02 0.08 0.10<br />

3. - 0.10 0.04 0.09 0.12<br />

4. - 0.09 0.03 0.09 0.08<br />

5. - 0.09 0.02 0.07 0.11<br />

1+2+3+4+5 - 0.11 0.03 0.08 0.11<br />

Table 7. The heritability of litter size of conventional selection of Yorkshire<br />

Farrow<strong>in</strong>g Age at<br />

Born<br />

farrow<strong>in</strong>g A Live born Still born 5 th day Weaned<br />

1. 0.14 0.12 0.04 0.10 0.10<br />

2. - 0.08 0.05 0.08 0.08<br />

3. - 0.09 0.02 0.09 0.09<br />

4. - 0.09 0.03 0.07 0.07<br />

5. - 0.11 0.03 0.07 0.09<br />

1+2+3+4+5 - 0.10 0.03 0.08 0.09<br />

Table 8. The repeatability of litter size of prolificacy Landrace<br />

Farrow<strong>in</strong>g Age at<br />

farrow<strong>in</strong>g Alive born Still born 5 th day Weaned<br />

1. 0.20 0.16 0.09 0.17 0.18<br />

2. - 0.16 0.08 0.15 0.18<br />

3. - 0.18 0.09 0.16 0.17<br />

4. - 0.18 0.07 0.18 0.17<br />

5. - 0.18 0.08 0.17 0.16<br />

1+2+3+4+5 - 0.17 0.09 0.17 0.17<br />

Table 9. The repeatability of litter size of conventional selection of Landrace<br />

Farrow<strong>in</strong>g Age at<br />

Born<br />

farrow<strong>in</strong>g Alive born Still born 5 th day Weaned<br />

1. 0.19 0.18 0.07 0.16 0.16<br />

2. - 0.16 0.08 0.16 0.15<br />

3. - 0.17 0.08 0.17 0.16<br />

4. - 0.17 0.07 0.15 0.18<br />

5. - 0.18 0.07 0.15 0.20<br />

1+2+3+4+5 - 0.18 0.07 0.16 0.19<br />

459


460<br />

Conclusion<br />

V. Vidovic et al.<br />

There are statistically significant differences for number of alive, still born<br />

and weaned piglets between prolificacy and conventional Landrace and Yorkshire<br />

breeds. No differences with<strong>in</strong> prolificacy are for the same traits. Prolificacy’s L and<br />

Y gilts were heavier at the entrance to the production, which guarantees the<br />

cont<strong>in</strong>uity of a stable production of pigs and optimal replacement. Conventional<br />

selection of the same L and Y breeds were, by selection criteria and technology, at<br />

least one month younger and with smaller size. These <strong>in</strong>dicate shorter life<br />

production and smaller litter size. Genetic parameters <strong>in</strong>dicate that reproduction<br />

belong to low hereditary traits regardless of the level of genetic potential and<br />

significantly larger litters than the conventional selection of these breeds <strong>in</strong> our<br />

conditions. Even statistically significant differences on phenotypic level, the<br />

estimation of genetic parameters for both <strong>in</strong>dicated they are belong<strong>in</strong>g to low<br />

heritage group of traits. Know<strong>in</strong>g that ovulation rate belong to middle heritage trait<br />

(h 2 – 0.40) it is necessarily to use different management <strong>in</strong> feed<strong>in</strong>g regime of<br />

females and age with weight of gilts. Research justifies the use of new <strong>in</strong>formation<br />

technologies <strong>in</strong> the area of feed<strong>in</strong>g sows, and optimi<strong>za</strong>tion of production<br />

conditions, e.g. humidity, air velocity, temperature and light, which significantly<br />

affect the development of the genome. A particularly important aspect is the<br />

adaptation of modern management aspects <strong>in</strong> production management at the farm.<br />

As expected evaluations the repeatability values were significantly higher than<br />

heritability. The differences between genetic parameters of prolificacy and<br />

conventional purebred L and Y belong to selection efficiency dur<strong>in</strong>g generation.<br />

Heritabilnost i ponovljivost reprodukcijskih svojstava sv<strong>in</strong>ja<br />

čistih rasa<br />

V. Vidović, D. Lukač, M. Stupar, V. Višnjić, J. Krnjaić<br />

Rezime<br />

Istraživanja su izvedena na 4 farme na kojima su krmače podeljene u dve<br />

grupe: visokoplodne i konvencionalne sa znatno nižom plodnošću. Broj<br />

visokoplodnih iznosio je 2.434 krmača rase landras i jorkšir koje su parene sa 28<br />

nerastova,svi Danskog porekla ili, 7.684 legla iz prvih 5 prašenja a u periodu 2009.<br />

– 2012. Uporedo su izvedena i istraživanja na plotk<strong>in</strong>jama koje su odabirane<br />

koristeći konvencionalne selekcsijske kriterijume, rasa landras i jorkšir, koja su<br />

obuhvatila 3.964 krmače parene sa 49 nerastova, i koje su proizvele 15.764 legla u<br />

istom periodu. Na obe selekcije, visokoplodne i konvencionalne, primenjeni su


Heritability and repeatability ...<br />

različiti kriterijumi selekcije (danski i srpski) tokom god<strong>in</strong>a proizvodnje sa<br />

očekivanim efektima. Za korekciju uticaja sistematskih i slučajnih faktora korišćen<br />

je mešoviti model ocene. Razlika u broju <strong>za</strong>lučene prasadi između visokoplodnih i<br />

konvencionalnih selekcija bila je signifikantna, a varirala je u granicama 11-14<br />

<strong>za</strong>lučene prasadi na godišnjem nivou. Ocene heritabilnosti varirale su u granicama<br />

0.07 – 0.12 dok su vrednosti koefcijent ponovljivosi bile veće i to <strong>za</strong> nivo dodatnih<br />

<strong>in</strong>formacija iz modela. Varirale su u granicama 15 – 19 procenata. Selekcijski<br />

kriterijumi u konvencionalnih selekcija nisu bili efikasni prema očekivanju. Bili su<br />

pristrasni. Visokoplodne život<strong>in</strong>je poka<strong>za</strong>le su genetsku superiornost ali je udeo<br />

aditivnih gena bio gotovo identičan kao u konvencionalni selekcija obe rase.<br />

Reference<br />

CHEN P., BASS T. J.,MABRY J. W., KOEHLER K. J., DEKKERS C. M. (2003):<br />

Genetic Parameters and Trends for Litter <strong>in</strong> U.S. Yorkshire, Duroc, Hampshire,<br />

and Landrace Pigs. J. Anim Sci., 81, 46-53.<br />

CRUMP R. E., HALEY C. S., THOMSON R., MERCER J. (1997): Individual<br />

<strong>Animal</strong> Model Estimates of Genetic Parameters for Reproduction Traits of<br />

Landrace Pigs Performance Tested <strong>in</strong> a Commercial Nucleus Herd. J. <strong>Animal</strong> Sci.,<br />

65, 285-290.<br />

GORDON I. (1997): Controlled Reproduction <strong>in</strong> Pigs. Oxon, CAB International,<br />

pp. 247.<br />

HUE L. L., DIAL G. D., MARSH W. E., DAVIES P. R., MOMONT H. W.<br />

(1993):Influence of Lactation Length on Sow Productivity. Livest. Prod. Sci.,34,<br />

253-265.<br />

LUCIA T. J., CORREA N. M., DESCHAMPS C. J., BIANCHI I., DONIN A. M.,<br />

MACHADO C. A., MEINCKE W., MATHEUS E. M. J. (2002): Risk Factors for<br />

Stillbirths <strong>in</strong> Two Sw<strong>in</strong>e Farms <strong>in</strong> the South of Brazil. Preventive Veter<strong>in</strong>ary<br />

Medic<strong>in</strong>e, 53, 285-292.<br />

PETROVIC M., LATINOVIC D., STOJIC P., KOSOVAC O. (1991): Uticaj<br />

genetskih i faktora okol<strong>in</strong>e na varijabilnost rezultata performans testa nazimica.<br />

Biotehnologija u stočarstvu, 7, (1-2): 25-32.<br />

RADOJKOVIC D., PETROVIC M., MIJATOVIC M., RADOVIC I. (2005):<br />

Phenotypic and Genetic Correlation of Fertility Traits of Swedish Landrace.<br />

<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, 21 (3-4): 79-88.<br />

TRETINJAK M., SKORPUT D., DJIKIC M., LUKOVIC L. (2009): Velič<strong>in</strong>a legla u<br />

krmača na obiteljskim gospodarstvima u republici Hrvatskoj. <strong>Stočarstvo</strong>, 63, 175-185.<br />

VIDOVIC V., VIŠNJIC V., JUGOVIC D., PUNOS D., VUKOVIC N. (2011a):<br />

Praktično sv<strong>in</strong>jarstvo. APROSIM. Novi Sad, pp. 287.<br />

VIDOVIC V., LUKAC D. (2010): Genetika život<strong>in</strong>ja, Poljoprivredni fakultet Novi<br />

Sad, pp 361.<br />

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VIDOVIC V. (1997): Poređenje ocene genetskih parametara <strong>za</strong> reprodukcijske osob<strong>in</strong>e<br />

sv<strong>in</strong>ja gajenih u čistoj rasi i ukrštanju. Doktorska disetacija, Biotehnički fakultet, Ljubljana.<br />

VIDOVIC V., LUKAC D., STRBAC LJ., STUPAR M. (2011b): Effect of age and<br />

weight of Yorkshire gilts at mat<strong>in</strong>g on litter size and longevity. <strong>Stočarstvo</strong>, 65, 3-12.<br />

VIDOVIC V., STRBAC LJ., LUKAC D., STUPAR M. (2011c): Influence of age<br />

and weight of Landrace gilts at fertile <strong>in</strong>sem<strong>in</strong>ation on litter size and longevity.<br />

<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, 27, 75-85.<br />

VINCEK D.(2005): Velič<strong>in</strong>a legla majč<strong>in</strong>skih l<strong>in</strong>ija uzgojnog programa u<br />

sv<strong>in</strong>jogojstvu. <strong>Stočarstvo</strong>, 59, 13-21.<br />

Received 16 may 2012; accepted for publication 15 August 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 463-468 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.082’4<br />

DOI: 10.2298/BAH1203463R<br />

THE EFFECT OF GENOTYPE AND YEAR ON TRAITS<br />

OF PERFORMANCE TESTED GILTS<br />

Č. Radović 1 , M. Petrović 2 , N. Parunović 3 , N. Brkić 4 , B. Živković 1 , M.<br />

Gogić 1 , N. Stanišić 1<br />

1<br />

<strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Autoput 16, 11080 Belgrade-Zemun, Republic of Serbia<br />

2<br />

Faculty of Agriculture University of Belgrade, Nemanj<strong>in</strong>a 6, 11080 Belgrade, Republic of Serbia<br />

3<br />

<strong>Institut</strong>e of Meat Hygiene and Technology, Kaćanskog 13, 11000, Belgrade, Republic of Serbia<br />

4<br />

M<strong>in</strong>istry of Agriculture, Forestry and Water Management - Directorate for Water, 11000, Belgrade,<br />

Republic of Serbia<br />

Correspond<strong>in</strong>g author: cedomirradovic.izs@gmail.com<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: Objective of this research was to establish the effect of animal<br />

genotype, year of measur<strong>in</strong>g and birth on traits of performance tested gilts: age at<br />

the end of the test (AET), life daily ga<strong>in</strong> (LDG), back fat thickness 1 and 2 (BFT1<br />

and BFT2), depth of back muscle (MLD) and assessed share of meat <strong>in</strong> carcass. Of<br />

total number of animals (n=3600) <strong>in</strong>cluded <strong>in</strong> the research, 1709 animals were of<br />

genotype SL and 1891 of genotype ♀SLx♂LY. In regard to the birth year of tested<br />

gilts, the distribution was follow<strong>in</strong>g: n2006=296, n2007=895, n2008=934, n2009=803,<br />

n2010=589 and n2011=83 gilts. In regard to test<strong>in</strong>g year, the distribution of gilts was<br />

as follows: n2007=682, n2008=875, n2009=962, n2010=697 and n2011=384 gilts. The<br />

effects of test year and birth year were established (P0.05).<br />

Key words: gilts, genotype, ultra sonogram measurements, PigLog 105<br />

Introduction<br />

Important precondition <strong>in</strong> the work on genetic improvement of the quality<br />

of pigs is knowledge of the variability of production traits of breed<strong>in</strong>g animals. For<br />

that purpose, studies are carried out and data recorded for all traits <strong>in</strong>cluded <strong>in</strong> the<br />

selection procedure. Efficiency <strong>in</strong> pig production is evaluated based on three<br />

parameters: annual sow productivity, feed conversion ratio and meat yield of<br />

animals. Quantative and qualitative carcass traits depend on selection methods. It is<br />

known that certa<strong>in</strong> quantitative pig traits are not equaly passed on, which means<br />

that the possibilities of their improvement through selection are different.<br />

Heritability coefficients for growth traits and traits of carcass side quality are<br />

medium to strong (Hermesch et al., 2000; Chen et al., 2002; Gorjanc et al., 2003;


464<br />

Č. Radović et al.<br />

Radović et al., 2003; Petrović et al., 2006). Increased selection for meat content<br />

causes significant decrease of the content of subcutaneous fat (Bahelka et al.,<br />

2007). Breed<strong>in</strong>g value of young animals can be used for evaluation of parent<br />

breed<strong>in</strong>g value, and <strong>in</strong> that way the best parent comb<strong>in</strong>ations selected for breed<strong>in</strong>g<br />

and eventually significantly higher production and better quality of pig meat can be<br />

ensured <strong>in</strong> a country (Jukna et al., 2009). In the study of the average values of<br />

production traits of sons and daughters, Petrović et al., (2002) have established<br />

expressed effect of sires (P


The effect of genotype and ...<br />

the values accord<strong>in</strong>g to test years, i.e. to the end of test, we can see that animals<br />

from the first to the fifth year prolonged the test from year to year (GM1:GM5;<br />

198:212 days), and hence the life daily ga<strong>in</strong> decreased (GM1:GM5; 500:465 g).<br />

Dur<strong>in</strong>g the same test period also decrease of the back fat thickness (BFT1 and<br />

BFT2) by 6.9 mm and 5.3 mm, respectively, was observed. In the same test<strong>in</strong>g<br />

period the decrease <strong>in</strong> back fat thickness was recorded. By observ<strong>in</strong>g the data<br />

accord<strong>in</strong>g to birth year (GR1:GR6) of gilts there is a same trend of decrease of<br />

values for back fat thickness BFT1 and BFT2. For said traits the effect of year of<br />

measur<strong>in</strong>g and year of birth (P0.05).<br />

Table 1. The effect of genotype and year on <strong>in</strong>tensity of growth and back fat thickness<br />

(LSM±S.E.)<br />

Sources of variation AET 3) , days LDG, g BFT1, mm BFT2, mm<br />

μ ± S.E. 203.56±0.56 486.21±1.43 17.66±0.41 13.45±0.41<br />

Genotype<br />

Year of<br />

measur<strong>in</strong>g<br />

Birth year<br />

1 1)<br />

2<br />

204.46±1.92<br />

202.65±1.91<br />

483.71±4.74<br />

488.72±4.73<br />

18.01±0.76<br />

17.31±0.76<br />

13.46±0.67<br />

13.43±0.67<br />

P 2) NS NS NS NS<br />

1<br />

2<br />

3<br />

4<br />

5<br />

197.85±0.95<br />

199.67±0.81<br />

203.96±0.75<br />

204.19±0.81<br />

212.10±1.03<br />

500.09±2.36<br />

496.08±2.01<br />

485.04±1.87<br />

484.71±2.03<br />

465.15±2.55<br />

21.37±0.49<br />

19.65±0.45<br />

17.17±0.44<br />

15.65±0.45<br />

14.47±0.51<br />

16.28±0.46<br />

15.28±0.44<br />

12.87±0.43<br />

11.84±0.44<br />

10.97±0.49<br />

P *** *** *** ***<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

198.86±1.49<br />

201.95±0.89<br />

198.57±0.72<br />

199.56±0.71<br />

213.09±0.82<br />

209.31±1.08<br />

496.82±3.68<br />

489.82±2.22<br />

498.93±1.80<br />

496.69±1.79<br />

463.10±2.05<br />

471.94±2.69<br />

20.91±0.63<br />

19.33±0.47<br />

17.98±0.43<br />

17.31±0.43<br />

16.40±0.46<br />

14.04±0.52<br />

16.40±0.57<br />

15.01±0.45<br />

13.39±0.43<br />

13.09±0.43<br />

11.85±0.44<br />

10.93±0.49<br />

P *** *** *** ***<br />

1) 1-SL, 2- LYxSL; 2) NS=P>0,05; *=P


466<br />

Č. Radović et al.<br />

Table 3. The effect of genotype and year on MLD depth and share of meat (LSM±S.E.)<br />

Sources of variation MLD 3) , mm Share of meat, %<br />

μ ± S.E. 52.79±0.22 55.04±0.39<br />

Genotype<br />

1 1)<br />

2<br />

53.06±0.76<br />

52.52±0.76<br />

54.89±0.66<br />

55.18±0.66<br />

P 2) NS NS<br />

1<br />

51.40±0.38<br />

51.76±0.45<br />

2<br />

51.87±0.32<br />

53.09±0.43<br />

Year of measur<strong>in</strong>g 3<br />

53.08±0.30<br />

55.60±0.42<br />

4<br />

53.60±0.32<br />

56.86±0.43<br />

5<br />

54.00±0.41<br />

57.87±0.47<br />

P *** ***<br />

1<br />

51.49±0.43<br />

52.57±0.56<br />

2<br />

52.38±0.33<br />

53.50±0.44<br />

Birth year<br />

3<br />

4<br />

52.91±0.28<br />

53.05±0.29<br />

54.87±0.41<br />

55.32±0.41<br />

5<br />

53.17±0.35<br />

56.30±0.43<br />

6<br />

53.74±0.59<br />

57.67±0.48<br />

P ** ***<br />

1) 2)<br />

1-SL, 2- LYxSL; NS=P>0,05; *=P


The effect of genotype and ...<br />

animals. By observ<strong>in</strong>g the values accord<strong>in</strong>g to year of measur<strong>in</strong>g, i.e. to the end of<br />

test, we can conclude that animals <strong>in</strong> the period through first five years of<br />

measur<strong>in</strong>g have prolonged the test from year to year, which <strong>in</strong>fluenced the decrease<br />

of life daily ga<strong>in</strong>. In the same period of measur<strong>in</strong>g, the decrease <strong>in</strong> back fat<br />

thickness (BFT1 and BFT2) by 6.9 mm and 5.3 mm was observed. By observ<strong>in</strong>g<br />

the values accord<strong>in</strong>g to year of birth (GR1:GR6) of gilts, the same trend of<br />

decrease of values for back fat thickness BFT1 and BFT2 is observed. For all<br />

studied traits the effect of year of measur<strong>in</strong>g and year of birth (P0.05).<br />

Acknowledgements<br />

Research was f<strong>in</strong>anced by the M<strong>in</strong>istry of Education and Science of the<br />

Republic of Serbia, project TR31081.<br />

Uticaj genotipa i god<strong>in</strong>e na osob<strong>in</strong>e performans testiranih<br />

nazimica<br />

Č. Radović, M. Petrović, N. Parunović, N. Brkić, B. Živković, M. Gogić, N.<br />

Stanišić<br />

Rezime<br />

Cilj ovog istraživanja je da se utvrdi uticaj genotipa grla, god<strong>in</strong>e merenja i<br />

rođenja grla na osob<strong>in</strong>e performans testiranih nazimica: uzrast na kraju testa<br />

(UKT), životni dnevni prirast (ŽDP), deblj<strong>in</strong>a slan<strong>in</strong>e 1 i 2 (DSL1 i DSL2), dub<strong>in</strong>a<br />

leđnog mišića (MLD) i procenjeni udeo mesa u trupu. Od ukupnog broja (n=3600)<br />

istraživanjem je obuhvaćeno 1709 grla genotipa ŠL i 1891 grla genotipa<br />

♀ŠLx♂VJ. Po god<strong>in</strong>i rođenja testiranih nazimica distribucija je bila sledeća:<br />

n2006=296, n2007=895, n2008=934, n2009=803, n2010=589 i n2011=83 nazimice. Dok je<br />

po god<strong>in</strong>ama testiranja distribucija nazimica bila sledeća: n2007=682, n2008=875,<br />

n2009=962, n2010=697 i n2011=384 nazimice. Za sve ispitivane osob<strong>in</strong>e utvrđen je<br />

uticaj god<strong>in</strong>e merenja i god<strong>in</strong>e rođenja (P0.05).<br />

References<br />

BAHELKA I., TOMKA J., HANUSOVA E. (2007): The effects of probe type and<br />

<strong>in</strong>tensity of ultrasound on accuracy of <strong>in</strong>tramuscular fat prediction <strong>in</strong> Longissimus<br />

dorsi muscle of pigs. <strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, 23, 5-6, 87-95.<br />

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CHAN D. E., WALKER N. P., MILLS W. E. (2002): Prediction of Pork Quality<br />

Characteristics Us<strong>in</strong>g Visible and Near-Infrared Spectroscopy. Transactions of the<br />

ASAE, 45, 5, 1519-1527.<br />

GOGIĆ M., M. PETROVIĆ, B. ŽIVKOVIĆ, Č. RADOVIĆ, D. RADOJKOVIĆ,<br />

N. PARUNOVIĆ, G. MARINKOV (2012): Uticaj različitih faktora na osob<strong>in</strong>e<br />

performans testiranih nazimica. <strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, 28, 2, 312-321.<br />

GORJANC G., MALOVRH Š., KOVAČ M., GLAVAČ-VNUK M., ZRIM J.<br />

(2003): Proučavanje možnosti vključivte klavnih lastnosti v napoved plemenske<br />

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HARVEY R.W. (1990): User's guide for LSMLMW and MIXMDL. Ver. PC–2, 1–91.<br />

HERMESCH S., LUXFORD B.G., GRASER H.U. (2000): Genetic parameters for<br />

lean meat yield, meat quality, reproduction and feed effciency traits for Australian<br />

pigs. 1. Description of traits and heritability estimates. Livestock Production<br />

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progeny. <strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, 25, 3-4, 161-172.<br />

MICHALSKA G., NOWACHOWICZ J., BUCEK T., WASILEWSKI D. P.<br />

(2008): Changes <strong>in</strong> range of performance test results of gilts of Polish Large White<br />

breed produced <strong>in</strong> Poland <strong>in</strong> Bydgoszcz breed<strong>in</strong>g region. Journal Central European<br />

Agriculture, 9, 3, 581-588.<br />

NOWACHOWICZ J., MICHALSKA G., BUCEK T., WASILEWSKI P. D.<br />

(2009): Meat and fat content of crossbred gilts born and kept <strong>in</strong> Poland <strong>in</strong><br />

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Agriculture, 10, 4, 367-374.<br />

PETROVIĆ M., D. RADOJKOVIĆ, D. ROMIĆ, M. PUŠIĆ, M. MIJATOVIĆ, N.<br />

BRKIĆ (2002): Genetska i fenotipska varijabilnost osob<strong>in</strong>a performans testiranih<br />

nerastova i nazimica. <strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 18, 5-6, 67-72.<br />

PETROVIĆ M., M. PUŠIĆ, D. RADOJKOVIĆ, M. MIJATOVIĆ,Č. RADOVIĆ,<br />

B. ŽIVKOVIĆ (2006): Fenotipska i genetska varijabilnost osob<strong>in</strong>a kvaliteta polutki<br />

i mesa. Biotehnologija u stočarstvu, 22, 5-6, 1-10.<br />

RADOVIĆ Č., PETROVIĆ M., JOSIPOVIĆ S., ŽIVKOVIĆ B., KOSOVAC O.,<br />

FABJAN M. (2003): Uticaj različitih genotipova, očeva i sezone klanja na klanične<br />

osob<strong>in</strong>e sv<strong>in</strong>ja. Biotehnologija u stočarstvu, 19, 1-2, 11-16.<br />

SZYNDLER-NEDZA M., TYRA M., RÓZYCKI M. (2010). Coefficients of<br />

heritability for fatten<strong>in</strong>g and slaughter traits <strong>in</strong>cluded <strong>in</strong> a modified performance<br />

test<strong>in</strong>g method. Ann. Anim. Sci., 10: 117–125.<br />

Received 8 march 2012; accepted for publication 15 May 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 469-475 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.08’4<br />

DOI: 10.2298/BAH1203469P<br />

HERITABILITY AND CONNECTIONS OF SOW<br />

FERTILITY TRAITS<br />

M. Popovac 1 , D. Radojković 1 , M. Petrović 1 , M. Mijatović 1 , M. Gogić 2 ,<br />

D. Stanojević 1 , N. Stanišić 2<br />

1<br />

Faculty of Agriculture, University of Belgrade, Nemanj<strong>in</strong>a 6, 11080 Belgrade-Zemun, Republic of<br />

Serbia<br />

2<br />

<strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Autoput 16, 11080, Belgrade-Zemun, Republic of Serbia<br />

Correspond<strong>in</strong>g author: mlp@agrif.bg.ac.rs<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: Purpose of this paper was to determ<strong>in</strong>e fertility traits heritability<br />

coefficients of the sows (number of live born, total number of born, stillborn and<br />

reared piglets <strong>in</strong> the litter) and <strong>in</strong>terconnections between these traits. Heritability<br />

coefficients were low and averaged <strong>in</strong> <strong>in</strong>terval from h 2 = 0,056 for number of<br />

reared piglets <strong>in</strong> litter to h 2 = 0,142 for total number of born piglets <strong>in</strong> litter, which<br />

is <strong>in</strong> accordance with heritability values for reproductive traits. Genetic<br />

<strong>in</strong>terconnections of these traits had wide variation <strong>in</strong>terval and averaged from r = -<br />

0,221 between number of still born and reared piglets <strong>in</strong> litter to r = 0,947 between<br />

total number of born and number of live born piglets <strong>in</strong> litter. Coefficients of<br />

phenotype correlation varied <strong>in</strong> <strong>in</strong>terval from r = -0,162 between number of still<br />

born and number of live born piglets <strong>in</strong> litter to r = 0,909 between total number of<br />

born and number of live born piglets <strong>in</strong> litter.<br />

Key words: sow, heritability, genetic and phenotype connection<br />

Introduction<br />

Parental genetic <strong>in</strong>fluence at daughter fertility is relatively low if we take<br />

that reproductive traits are highly conditioned by the environment factors.<br />

However, even beside that if we were to make genetic improvement it is needed to<br />

choose those parents that have best results <strong>in</strong> reproduction. As reproductive boars<br />

have greater number of offspr<strong>in</strong>g it is needed to have strict selection, greater<br />

number of offspr<strong>in</strong>g (daughters) furthermore gives opportunity to get more<br />

accurate results at progeny test<strong>in</strong>g of same boars.<br />

Greater number of research that refer to size of the litter <strong>in</strong> different<br />

population of pigs showed that heritability coefficients and repetitiveness are low<br />

(10-15%), and that variation coefficient were relatively high (25%).


470<br />

M. Popovac et al.<br />

Most frequently evaluated genetic trait of pigs is the number of live born<br />

piglets <strong>in</strong> the litter. Accord<strong>in</strong>g to Beresk<strong>in</strong> (1984) value of the heritability<br />

coefficient for this trait is 0,05 while Skorupski et al., (1996) determ<strong>in</strong>ed the value<br />

of 0,19. Next to the number of live born piglets <strong>in</strong> litter, very frequently traits like<br />

total number of born piglets, number of stillborn piglets and number of reared<br />

piglets <strong>in</strong> liter were researched, which was done <strong>in</strong> this research too.<br />

After determ<strong>in</strong><strong>in</strong>g the heritability coefficient for fertility traits it was<br />

necessary to determ<strong>in</strong>e correlation between researched traits, which is shown by<br />

phenotype and genetic correlation coefficients. Absolute values and sign <strong>in</strong> front of<br />

these coefficients po<strong>in</strong>t how much and how these traits are <strong>in</strong>terconnected.<br />

Therefore know<strong>in</strong>g about values of these coefficients gives the possibility to alter<br />

certa<strong>in</strong> traits <strong>in</strong> such manner that values of other traits are not affected.<br />

Value for phenotype correlation coefficient which was determ<strong>in</strong>ed by<br />

Popov et al., (2003) between number of live born and still born piglets <strong>in</strong> the litter<br />

was 0,218. Relatively low value of this coefficient shows weak correlation between<br />

these two traits, much larger coefficient was determ<strong>in</strong>ed for genetic correlation<br />

coefficient 0,803 between these two traits. The high value of genetic correlation<br />

coefficient was also determ<strong>in</strong>ed by Roehe and Kennedy (1995). This shows that<br />

with value <strong>in</strong>crease of one trait the value of other trait <strong>in</strong>creases too, and vice versa.<br />

Material and methods<br />

A criterion on which calculation of heritability and correlation coefficient<br />

was based was that fathers of analyzed sows have 10 and more daughters <strong>in</strong> the<br />

researched group of sows. Based on this criterion 54 boars and their 1318<br />

daughters which had 4489 litters were taken. Fertility traits for which heritability<br />

and their phenotype and genetic correlation was calculated were: total number of<br />

born piglets <strong>in</strong> litter (TNBPL), number of live born piglets <strong>in</strong> litter (NLBPL),<br />

number of still born piglets <strong>in</strong> litter (NSBPL) and number of reared piglets <strong>in</strong> litter<br />

(NRPL).<br />

Start<strong>in</strong>g analysis has rounded descriptive statistic data render<strong>in</strong>g where<br />

arithmetic mean and <strong>in</strong>dicators of variation (variation coefficient, standard<br />

deviation and variation <strong>in</strong>terval) were calculated. Mathematic-statistical data<br />

process<strong>in</strong>g was done by apply<strong>in</strong>g the mix model, method of least squares and<br />

application of program package by Harvey (1990) with<strong>in</strong> which us<strong>in</strong>g the method<br />

of <strong>in</strong>terclass correlation of half-sisters heritability was calculated as well as genetic<br />

and phenotype coefficients. In the variance analysis model based on which<br />

heritability for specific traits was calculated, beside the sow father follow<strong>in</strong>g<br />

factors were <strong>in</strong>cluded: farm, genotype, furrow<strong>in</strong>g year, furrow<strong>in</strong>g season,<br />

furrow<strong>in</strong>g order, number of teats and age at first furrow<strong>in</strong>g. For these factors it was<br />

determ<strong>in</strong>ed that they have significant statistic <strong>in</strong>fluence on researched traits,


Heritability and connections ...<br />

however those factors will not be discussed further. In this way more accurate<br />

heritability coefficient was determ<strong>in</strong>ed and <strong>in</strong> certa<strong>in</strong> measure surround<strong>in</strong>g<br />

variability <strong>in</strong>fluence was brought to m<strong>in</strong>imum. Presented results were calculated<br />

with help of follow<strong>in</strong>g mix model:<br />

Yijklmnop = µ + Ri + Fj + Gk + Sl + Pm + Bn + Uo + op+ eijklmnop<br />

Yijklmno – value of observed trait (TNBPL, NLBPL, NSBPL, NRPL),<br />

µ - population average,<br />

Ri – fixed genotype <strong>in</strong>fluence,<br />

Fj – fixed farm <strong>in</strong>fluence,<br />

Gk – fixed furrow<strong>in</strong>g year <strong>in</strong>fluence,<br />

Sl – fixed furrow<strong>in</strong>g season <strong>in</strong>fluence,<br />

Pm – fixed furrow<strong>in</strong>g order <strong>in</strong>fluence,<br />

Bn – fixed <strong>in</strong>fluence of teat number,<br />

Uo – regression <strong>in</strong>fluence of age at first furrow<strong>in</strong>g,<br />

op – random father <strong>in</strong>fluence,<br />

eijklmnop – <strong>in</strong>fluence of undeterm<strong>in</strong>ed factors (error).<br />

Research results and discussion<br />

Heritability of researched traits <strong>in</strong> the Table 1. Values of heritability coefficients<br />

for traits: total number of born (TNBPL), live-born (NLBPL), stillborn (NSBPL)<br />

and number of reared (NRPL) piglets <strong>in</strong> the litter of researched sows.<br />

Table 1. Heritability values determ<strong>in</strong>ed by analysis<br />

Trait Heritability and heritability standard error<br />

TNBPL 0,142 ± 0,034<br />

NLBPL 0,123 ± 0,031<br />

NSBPL 0,083 ± 0,024<br />

NRPL 0,056 ± 0,020<br />

Results show that values of heritability are low and that they vary <strong>in</strong> the<br />

<strong>in</strong>terval from 0,056 to 0,142. Highest heritability value h 2 =0,142 is noted for total<br />

number of born piglets <strong>in</strong> litter. Notably more important trait like number of live<br />

born piglets has slightly lower value of h 2 =0,123, which represents strong <strong>in</strong>fluence<br />

of non genetic factors on this trait. Heritability coefficient for NLBPL <strong>in</strong> this<br />

research is somewhere <strong>in</strong> between the vary<strong>in</strong>g <strong>in</strong>terval for this coefficient (0,05 –<br />

0,19) which was determ<strong>in</strong>ed by Skorupski et al., (1996) and Beresk<strong>in</strong> (1984) <strong>in</strong><br />

their research.<br />

Opposite to these traits number of reared piglets <strong>in</strong> litter has the lowest<br />

value of h 2 =0,056 because of the strong <strong>in</strong>fluence of the surround<strong>in</strong>g at the number<br />

of reared piglets (handl<strong>in</strong>g with piglets, diet, care and hous<strong>in</strong>g of sow and piglets).<br />

471


472<br />

M. Popovac et al.<br />

Roehe and Kennedy (1995) have determ<strong>in</strong>ed almost the same value for this trait <strong>in</strong><br />

their research.<br />

When we look at the number of stillborn piglets <strong>in</strong> the litter of researched<br />

sows it has been determ<strong>in</strong>ed that, that value is <strong>in</strong>fluenced with h 2 =0,083 by genetic<br />

factors. Of course it would have been ideal if number of stillborn piglets were to be<br />

equal to zero, however as that is not possible the goal is to keep that number as low<br />

as possible. As it is quoted by Popov et al., (2003) heritability for number of still<br />

born piglets is 0,017 which is almost five times lower value compared to value that<br />

was determ<strong>in</strong>ed <strong>in</strong> this analysis. Furthermore accord<strong>in</strong>g to Roehe and Kennedy<br />

(1995) heritability value is 0,06, while Southwood and Kennedy (1990) quote that<br />

heritability for this trait is 0,13. Determ<strong>in</strong>ed value for NSBPL heritability is with<strong>in</strong><br />

limits of values that were determ<strong>in</strong>ed by the last two groups of researchers. All this<br />

is po<strong>in</strong>t<strong>in</strong>g that number of stillborn piglets is significantly more <strong>in</strong>fluenced by other<br />

factors than it is <strong>in</strong>fluenced by heritability.<br />

Correlation between the researched fertility traits. In order to see the<br />

correlation and <strong>in</strong> order to <strong>in</strong>terpret it <strong>in</strong> a best way genetic and phenotype<br />

correlation coefficients will serve as best example. Correlation coefficients<br />

between researched traits show <strong>in</strong>ter-correlation between the same. Correlation<br />

coefficients for fertility traits of researched sows are shown <strong>in</strong> Table 2.<br />

Table 2. Genetic correlation coefficients for fertility traits and their significance 1)<br />

Trait NLBPL NSBPL NRPL<br />

TNBPL 0,947 **<br />

0,429 **<br />

0,619 **<br />

NLBPL - 0,117 **<br />

0,759 **<br />

NSBPL - - -0,221 **<br />

1)<br />

Correlation coefficient for 5 and 1% of certa<strong>in</strong>ty (d.f.=1000) is 0,062 and 0,081.<br />

High value of genetic correlation coefficient (r=0,947, total correlation)<br />

between total number of born and number of live born piglets is understandable<br />

and it shows that by selection for higher number of live born piglets <strong>in</strong> litter there is<br />

<strong>in</strong>crease of total number of born piglets. High value for genetic correlation<br />

coefficient 0,947 between total number of born and number of live born piglets <strong>in</strong><br />

litter was also determ<strong>in</strong>ed by Roehe and Kennedy (1995).<br />

Genetic correlation coefficient between NLBPL and NSBPL was 0,117<br />

which shows low genetic correlation compared to correlation (0,803) that was<br />

determ<strong>in</strong>ed by Popov et al., (2003).<br />

In the Table 2. negative value for genetic correlation coefficients is also<br />

shown, which po<strong>in</strong>ts that dur<strong>in</strong>g selection for one trait, value of other trait<br />

decreases and vice versa. Even though a very low value -0,221 (very low<br />

correlation), between number of reared and number of still born piglets, it shows<br />

that generally <strong>in</strong> researched litters with higher number of reared piglets was less<br />

stillborn piglets.


Heritability and connections ...<br />

However, low absolute values for genetic correlation coefficient give the<br />

possibility for improvement of one trait with selection without significantly<br />

violat<strong>in</strong>g the value of the other trait.<br />

Phenotype correlation coefficients show more objective correlation<br />

<strong>in</strong>fluence because it is not possible to clearly separate surround<strong>in</strong>g environment<br />

and genetic factors <strong>in</strong>fluence on trait. Phenotype correlation coefficients besides<br />

genetic factors <strong>in</strong>clude the environment factors.<br />

Table 3. Phenotype correlation coefficients for fertility traits 1)<br />

Trait NLBPL NSBPL NRPL<br />

TNBPL 0,909 **<br />

0,264 **<br />

0,227 **<br />

NLBPL - -0,162 **<br />

0,281 **<br />

NSBPL - - -0,133 **<br />

1) Correlation coefficient for 5 and 1% certa<strong>in</strong>ty (d.f. =1000) is 0, 062 and 0,081.<br />

In the Table 3. high value for phenotype correlation coefficient is shown<br />

(r=0,909, total correlation) between total number of born piglets and number of live<br />

born piglets, as it was for genetic correlation which shows that <strong>in</strong> production<br />

environment with value <strong>in</strong>crease for one trait, the value of other trait is also<br />

<strong>in</strong>creased. Result is almost identical to the result determ<strong>in</strong>ed by Radojković et al.<br />

,(2005).<br />

Number of reared and totally born piglets <strong>in</strong> litter <strong>in</strong> this research has low<br />

coefficient of phenotype correlation (r = 0,227, very low correlation). Gajić and<br />

Radivojević (1980) have also <strong>in</strong> their research determ<strong>in</strong>ed lower value for this<br />

coefficient 0,265, while Lui et al., (1982) have determ<strong>in</strong>ed high correlation for this<br />

trait and the coefficient was 0,930.<br />

Table 3. also shows negative values for correlation coefficients which po<strong>in</strong>t<br />

that with <strong>in</strong>crease of value for one trait, the value of other trait is decreas<strong>in</strong>g.<br />

Negative value for phenotype correlation coefficient -0,162 (very low correlation)<br />

was determ<strong>in</strong>ed between number of live born piglets and number of stillborn<br />

piglets <strong>in</strong> litter. Results are not <strong>in</strong> agreement with results determ<strong>in</strong>ed by Popov et<br />

al., (2003) who have determ<strong>in</strong>ed the positive value (0,218) of phenotype<br />

correlation coefficient for these two traits.<br />

It has to be emphasized that all correlation coefficients are statistically<br />

significant. Level and strength of correlation is determ<strong>in</strong>ed based on values that<br />

were given <strong>in</strong> the tables by Lat<strong>in</strong>ović (1996).<br />

Conclusion<br />

Heritability coefficients were <strong>in</strong> the <strong>in</strong>terval between 0,056 for NRPL and<br />

up to 0,142 for TNBPL. These low values of heritability are connected to<br />

reproductive traits and they show how much surround<strong>in</strong>g environment factors<br />

significantly <strong>in</strong>fluence the fertility of the pigs. Moreover, these low values of<br />

473


474<br />

M. Popovac et al.<br />

heritability for fertility traits emphasize the need for better<strong>in</strong>g the surround<strong>in</strong>g<br />

environment condition which has strong <strong>in</strong>fluence on researched traits.<br />

All genetic and phenotype correlation coefficients were statistically<br />

significant. The lowest genetic correlation (0,117) was between NLBPL and<br />

NSBPL, while almost total genetic correlation (0,947) was determ<strong>in</strong>ed between<br />

NLBPL and TNBPL.<br />

Determ<strong>in</strong>ed heritability and correlation coefficient values show that there is<br />

possibility for selection and improvement of significant reproductive traits, which<br />

should result <strong>in</strong> genetic progress for researched pig population.<br />

Acknowledgements<br />

Research was f<strong>in</strong>anced by the M<strong>in</strong>istry of Education Science, and Technological<br />

Development, Republic of Serbia, project TR 31081.<br />

Naslednost i pove<strong>za</strong>nost osob<strong>in</strong>a plodnosti krmača<br />

M. Popovac, D. Radojković, M. Petrović, M. Mijatović, M. Gogić, D. Stanojević,<br />

N. Stanišić<br />

Rezime<br />

Cilj rada bio je da se utvrde koeficijenti naslednosti osob<strong>in</strong>a plodnosti<br />

krmača (broj živorođene, ukupno rođene, mrtvorođene i odgajene prasadi u leglu) i<br />

međusobna pove<strong>za</strong>nost ovih osob<strong>in</strong>a. Koeficijenti heritabiliteta su bili niski i<br />

kretali su se u <strong>in</strong>tervalu od h 2 = 0,056 <strong>za</strong> broj odgajene prasadi u leglu do h 2 = 0,142<br />

<strong>za</strong> broj ukupno rođene prasadi u leglu, što je u skladu sa vrednostima heritabiliteta<br />

<strong>za</strong> reproduktivne osob<strong>in</strong>e. Genetska pove<strong>za</strong>nost ovih osob<strong>in</strong>a imala je širok<br />

<strong>in</strong>terval variranja i kretala se od r = -0,221 između broja mrtvorođene i broja<br />

odgajene prasadi u leglu, do r = 0,947 između broja ukupno rođene i broja<br />

živorođene prasadi u leglu. Koeficijenti fenotipske korelacije kretali su se u<br />

<strong>in</strong>tervalu od r = -0,162 između broja mrtvorođene i broja živorođene prasadi u<br />

leglu, do r = 0,909 između broja ukupno rođene i broja živorođene prasadi u leglu.<br />

References<br />

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(2003): Fenotipska ispoljenost, varijabilnost i naslednost osob<strong>in</strong>a plodnosti sv<strong>in</strong>jabroj<br />

mrtvorođene prasadi u leglu. Savremena poljoprivreda, 52, 3-4, 297-302.<br />

RADOJKOVIĆ D., PETROVIĆ M., MIJATOVIĆ M., RADOVIĆ I. (2005):<br />

Fenotipska i genetska pove<strong>za</strong>nost osob<strong>in</strong>a plodnosti plotk<strong>in</strong>ja švedskog landrasa.<br />

<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, 21, 3-4, 79-88.<br />

ROEHE R., KENNEDY B. W. (1995): Estimation of genetic parametars for litter<br />

size <strong>in</strong> Canadian Yorkshire and Landrace sw<strong>in</strong>e with each party of farrow<strong>in</strong>g<br />

treated as a different trait. Journal of <strong>Animal</strong> Science, 73, 10, 2959-70.<br />

SKORUPSKI M. T., GARRICK D. J., BLAIR H. T. (1996): Estimates of direct<br />

and maternal genetic parameters for production and reproduction traits <strong>in</strong> tree<br />

breeds of pigs. New Zeland Journal of Agriculture Research, 39, 3, 387-395.<br />

SOUTHWOOD O. I., KENNEDY B. W. (1990): Estimation of direct and maternal<br />

genetic variance for litter size <strong>in</strong> Canadian Yorkshire and Landrace sw<strong>in</strong>e us<strong>in</strong>g an<br />

animal model. Journal of <strong>Animal</strong> Science, 68, 7, 1841-1847.<br />

Received 4. April 2011; accepted for publication 16. May 2012<br />

475


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 477-486 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 637.04<br />

DOI: 10.2298/BAH1203477O<br />

MEAT FATTY ACID PROFILE OF PIGS FED LINSEED<br />

ENRICHED DIET<br />

Đ. Okanović, D. Ivanov, D. Palić, A. Mandić, N. Ilić<br />

University of Novi Sad, <strong>Institut</strong>e of Food Technology, Bulevar Cara La<strong>za</strong>ra 1<br />

21000 Novi Sad, Serbia<br />

Correspond<strong>in</strong>g author: djordje.okanovic@f<strong>in</strong>s.uns.ac.rs<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: The aim of this study was to evaluate the <strong>in</strong>fluence of diet<br />

supplemented with l<strong>in</strong>seed rich additive on fatty acid profile and omega-fatty acids<br />

content <strong>in</strong> pig meat. Twelve pigs were divided <strong>in</strong> a control and experimental group<br />

and grown to 110 kg of live weight. The experimental group was fed a standard<br />

diet enriched with 2.5% of commercial additive Vitalan ® . After the end of feed<strong>in</strong>g<br />

period, the meat samples from both groups were analyzed for fatty acids content <strong>in</strong><br />

raw and roasted meat. The ratio between omega-6 and omega-3 acids was<br />

established. Samples from experimental group fed with l<strong>in</strong>seed enriched diet<br />

showed higher ω-3 acids content <strong>in</strong> meat (6.24% - 7.23%), compared to the control<br />

group (0.71% - 1.64%), thus mak<strong>in</strong>g it better for a human consumption from a<br />

health perspective. L<strong>in</strong>seed enriched diet positively <strong>in</strong>fluenced fatty acid<br />

composition of pig M. Longissimus dorsi muscle by decreas<strong>in</strong>g SFA content, as<br />

well as <strong>in</strong>creas<strong>in</strong>g PUFA and UFA content. Heat treatment did not significantly<br />

decreased content of stearic and l<strong>in</strong>oleic fatty acids <strong>in</strong> any sample. It was concluded<br />

that the diet enriched with extruded l<strong>in</strong>seed had beneficial effect on the majority of<br />

monitored parameters <strong>in</strong> the study.<br />

Key words: n -3 polyunsaturated fatty acids, l<strong>in</strong>seed, pig meat<br />

Introduction<br />

Many cl<strong>in</strong>ical, epidemiological and biological studies suggest that dietary<br />

fats play an important role <strong>in</strong> human health and well be<strong>in</strong>g (Gebauer et al., 2006).<br />

Results from those studies ascribe a particular significance to n-3 polyunsaturated<br />

fatty acids (PUFA). This class of fatty acids are found to have anti-<strong>in</strong>flammatory,<br />

antithrombogenic, and hypotriglyceridemic properties, they are also active aga<strong>in</strong>st<br />

some types of cancer like colon, breast and prostate cancer (Connor, 2000). n-3<br />

PUFA consumption also reduces risk of cardiovascular disease. At the same time<br />

<strong>in</strong>creased levels of n-6 fatty acids are associated with an <strong>in</strong>crease <strong>in</strong> chronic<br />

diseases (Givens et al., 2006).


478<br />

Đ. Okanović et al.<br />

In paper, Sretenović et al., (2009), the significance of omega-3 fatty acids<br />

<strong>in</strong> human nutrition is presented. As essential substances they cannot be synthesized<br />

<strong>in</strong> the organism, but have to be <strong>in</strong>troduced through diet. Also, the significance of<br />

some essential omega-6 fatty acids as well as their mutual relation, are presented.<br />

The role of omega-3 fatty acids <strong>in</strong> animal nutrition is also po<strong>in</strong>ted out <strong>in</strong> this paper,<br />

<strong>in</strong>troduced or consumed by animals either by graz<strong>in</strong>g or as diet supplement, which<br />

<strong>in</strong>fluence improvement of their production, reproduction and health performances.<br />

The ma<strong>in</strong> reason for this is production of animal feed from gra<strong>in</strong>s rich <strong>in</strong> n-6 fatty<br />

acids which subsequently leads to meat rich <strong>in</strong> the same type of fatty acids<br />

(Crawford, 1968). Be<strong>in</strong>g aware of n-3 PUFA benefits and health promot<strong>in</strong>g effects,<br />

the nutritionists recommend a diet rich <strong>in</strong> n-3 fatty acids as well as a lower n-6/n-3<br />

ratio from the current 15-20:1 to 1-4:1 (Simopoulos, 2002). S<strong>in</strong>ce animals are not<br />

able to synthesize n-3 and n-6 fatty acids and animal diet determ<strong>in</strong>es the fatty acid<br />

composition <strong>in</strong> meat, change <strong>in</strong> fatty acids ratio and composition <strong>in</strong> meat can be<br />

achieved through the change <strong>in</strong> animal diet (Mourot and Hermier, 2001; Ivanov et<br />

al., 2009). Most common way to perform this is by enrich<strong>in</strong>g the animal feed with<br />

fish oil/fish meals or with plant oils rich <strong>in</strong> n-3 PUFA or seed meals such as l<strong>in</strong>seed<br />

(Raes et al., 2004; Kouba et al., 2003; Stevanović et al., 2011). Monogastric<br />

animals (like pigs) are better target for this approach because the dietary fatty acids<br />

are absorbed from the <strong>in</strong>test<strong>in</strong>e unchanged. In this way, composition of fatty acids<br />

<strong>in</strong> meat could be modified by dietary means ultimately improv<strong>in</strong>g nutritional and<br />

health value of the meat (Enser et al., 2000).<br />

The objective of this study was to <strong>in</strong>vestigate the <strong>in</strong>fluence of l<strong>in</strong>seed<br />

enriched diet (rich <strong>in</strong> n-3 PUFA) on fatty acid composition <strong>in</strong> raw and roasted pig<br />

meat. The overall aim of the study was to improve the nutritional value of pig meat<br />

us<strong>in</strong>g l<strong>in</strong>seed enriched diet, thus mak<strong>in</strong>g it a good source of beneficial n-3 fatty<br />

acids.<br />

Materials and Methods<br />

<strong>Animal</strong>s and diet<br />

Total twelve pigs, Pietra<strong>in</strong> x (Landrace x Great Yorkshire) were used <strong>in</strong> the<br />

study, which has been conducted at the pig farm „Sabo Janos”, Jermenovci, Serbia.<br />

Twelve pigs were divided <strong>in</strong>to two groups and fed with two types of diet, a<br />

standard diet and diet enriched with 2.5% of Vitalan ® (Vitalac, France), until<br />

reach<strong>in</strong>g approximate 110 kg of live weight, when they were slaughtered. Vitalan ®<br />

conta<strong>in</strong>s 85% extruded l<strong>in</strong>seed, which made the diet rich <strong>in</strong> omega-3 acids and the<br />

rest were wheat bran and antioxidants. The composition of the diets is shown <strong>in</strong><br />

Table 1.


Table 1. Composition of diets for pigs<br />

Meat fatty acid profile of ...<br />

Components (%) Control group Experimental group<br />

Vitalan® 2.5<br />

Maize 51.0 50.0<br />

Barley 28.0 26.8<br />

Soybean meal 18.0 17.7<br />

Premix 2.5 2.5<br />

Acidifier 0.5 0.5<br />

Total 100.0 100.0<br />

Slaughter<strong>in</strong>g and sampl<strong>in</strong>g<br />

The animals were slaughtered and samples of pig meat (M. Longissimus<br />

dorsi, bacon and back fat), 200 g each, from both groups were collected and kept <strong>in</strong><br />

the refrigerator at 4 0 C until further use. A half of the samples were roasted <strong>in</strong> the<br />

oven at the temperature of 80 - 85 0 C until the temperature <strong>in</strong> the centre of the meat<br />

reached 69 0 C (about 1 hour).<br />

After 24 hours, the samples were sent to the laboratories of Food<br />

Technology <strong>Institut</strong>e <strong>in</strong> Novi Sad, where fatty acid analysis and sensory evaluation<br />

were performed.<br />

Fat extraction for fatty acid analysis<br />

Supercritical fluid extraction with CO2 was used for preparation of fat<br />

extracts, as recommended for fatty acid analysis (Ivanov et al., 2011). Extractions<br />

were performed on a LECO TFA2000 fat analyzer with methods developed <strong>in</strong> the<br />

laboratory. Temperature, pressure and extraction flow rates were adopted from<br />

exist<strong>in</strong>g LECO procedures (LECO Corporation, 2003). Cell temperature and flow<br />

path temperatures were set at 100 °C. The collection vials on the <strong>in</strong>strument are not<br />

temperature-controlled and rema<strong>in</strong>ed near room temperature, approximately 30 °C.<br />

Operat<strong>in</strong>g pressure was 9000 psi. Extraction flow rate was set at 1.3 l/m<strong>in</strong>.<br />

Infusorial soil (LECO Corporation, 2003) was used to disperse the sample and<br />

when used, modifier was added to the mix prior to transferr<strong>in</strong>g the sample to the<br />

extraction thimble. From the extracted lipids, fatty acid methyl esters were<br />

prepared with method that use boron trifluoride/methanol solution (Veresbaranji,<br />

1996). Nitrogen gas was used for dry<strong>in</strong>g and remov<strong>in</strong>g solvents from fatty acid<br />

methyl esters. Obta<strong>in</strong>ed samples were analyzed by a GC Agilent 7890A system<br />

with FID, auto-<strong>in</strong>jection module for liquid and headspace sampl<strong>in</strong>g, equipped with<br />

fused silica capillary column (DB-WAX 30 m, 0.25 mm, 0.50 µm). Helium was<br />

used as a carrier gas (purity > 99.9997 vol. %, flow rate = 1.26 ml/m<strong>in</strong>). The fatty<br />

acids peaks were identified by comparison of retention times with retention times<br />

of standards from Supelco 37 component fatty acid methyl ester mix and with data<br />

479


480<br />

Đ. Okanović et al.<br />

from <strong>in</strong>ternal data library, based on previous experiments. Results were expressed<br />

as mass of fatty acid or fatty acid group (g) per 100 g of fatty acids, and as a ratio<br />

between omega-6 and omega-3 fatty acids.<br />

Statistical analysis<br />

STATISTICA software version 9 (Statsoft, Tulsa, OK, USA) was used for<br />

analyz<strong>in</strong>g variations (analysis of variance – ANOVA) and for Tukey’s HSD<br />

comparison of means of samples (Statistica, 2006).<br />

Results and Discussion<br />

Fatty acid composition of the meat (M. longissimus dorsi), heat treated<br />

meat, fat and bacon of pigs fed with standard and l<strong>in</strong>seed enriched diet is shown <strong>in</strong><br />

Table 2.<br />

The major fatty acids <strong>in</strong> all tissues (listed from most prevalent to least)<br />

were oleic (C18:1), l<strong>in</strong>oleic and other isomers of C18:2, palmitic (C16:0),<br />

palmitoleic (C16:1) and stearic (C18:0). These five fatty acids accounted for over<br />

90% of the total fatty acids <strong>in</strong> the pig tissues.<br />

The data showed that fatty acid compositions of the exam<strong>in</strong>ed samples<br />

were broadly similar. However, there were important species differences. As it is<br />

known from the literature, pigs have relatively high proportion of l<strong>in</strong>oleic acid<br />

(C18:2 n-6), major PUFA, which is entirely derived from the diet (Wood et al.,<br />

2008). The column used for gas chromatographic determ<strong>in</strong>ation did not have<br />

possibility to separate positional isomers, <strong>in</strong> comb<strong>in</strong>ation with used standard<br />

mixture, but it could be noticed that all experimental samples (<strong>in</strong> pigs fed the<br />

experimental diet) have had higher content of total C18:2 fatty acid, to use of<br />

l<strong>in</strong>seed enriched diet.<br />

From the results shown <strong>in</strong> Table 2 for fresh and roasted pig meat, bacon<br />

and back fat, it is evident that use of l<strong>in</strong>seed enriched diet resulted <strong>in</strong> <strong>in</strong>creased<br />

levels of omega-3 fatty acids <strong>in</strong> the experimental group (6.24% - 7.23%) compared<br />

to the control group (0.71% - 1.64%). This significantly contributed to the more<br />

favourable ratio of omega-6/omega-3 <strong>in</strong> the experimental group (3.35-3.91)<br />

compared to the control group (11.96-31.49).<br />

Results for the content of free fat <strong>in</strong> both exam<strong>in</strong>ed groups have shown that<br />

the proportion of free fat <strong>in</strong> the control and experimental groups were similar. Meat<br />

is the major source of fat <strong>in</strong>clud<strong>in</strong>g SFA <strong>in</strong> the human diet. SFA have been<br />

generally labeled as the cause of cancers and coronary heart disease.


Meat fatty acid profile of ...<br />

Table 2: Fatty acid composition (%) of different pig tissues<br />

Meat Roasted meat Back fat Bacon<br />

Sample C E C E C E C E<br />

Free fat (%) 5.11 5.57 6.02 5.34 86.50 82.90 28.10 26.10<br />

Fatty acid Fatty acid content (% of total fatty acid)<br />

C10:0 0.08 0.05 0.09 0.07 0.06 0.06 0.09 0.07<br />

SD 0.02 0.06 0.07 0.05 0.03 0.05 0.06 0.03<br />

C12:0 0.04 0.03 0.04 0.04 0.04 0.04 0.04 0.04<br />

SD 0.01 0.02 0.02 0.03 0.03 0.02 0.01 0.03<br />

C14:0 0.75 0.57 0.75 0.63 0.72 0.72 0.77 0.67<br />

SD 0.24 0.26 0.34 0.09 0.36 0.29 0.31 0.19<br />

C16:0 8.98 6.90 9.09 7.31 9.00 8.99 8.89 7.79<br />

SD 0.89 0.71 1.21 0.96 1.01 0.24 0.35 0.41<br />

C16:1 9.25 8.08 9.47 8.99 7.08 6.04 9.01 8.77<br />

SD 0.67 0.58 0.91 0.87 0.61 0.89 1.03 0.99<br />

C17:0 0.47 0.71 0.41 0.72 0.64 0.64 0.43 0.71<br />

SD 0.23 0.09 0.16 0.65 0.13 0.21 0.13 0.51<br />

C17:1 0.42 0.66 0.36 0.69 0.42 0.42 0.41 0.64<br />

SD 0.16 0.51 0.24 0.29 0.31 0.14 0.52 0.16<br />

C18:0 6.83* 4.94* 7.33* 4.85* 7.33 7.13 6.62 5.31<br />

SD 0.87 0.68 0.19 0.34 0.16 0.65 0.94 0.36<br />

C18:1 c+t 48.91** 42.49** 50.61* 44.38* 48.15 48.71 50.59** 41.11**<br />

SD 1.06 0.98 1.03 1.01 0.89 0.88 0.97 0.79<br />

C18:2 19.61** 24.22** 19.96** 24.53** 22.36** 27.20** 20.07** 26.11**<br />

SD 0.97 0.89 0.76 1.02 0.96 0.87 0.96 1.01<br />

C18:3n3 1.64** 7.23** 0.69** 6.24** 0.71** 7.20** 0.79** 6.67**<br />

SD 0.62 0.89 0.46 0.79 0.51 0.96 0.49 0.69<br />

C20:0 0.13 0.10 0.12 ND 0.16 0.14 0.13 0.10<br />

SD 0.06 0.09 0.11 - 0.14 0.08 0.05 0.09<br />

C20:1 1.05 0.93 1.04* 0.47* 1.45 1.44 1.13* 0.70*<br />

SD 0.25 0.21 0.34 0.12 0.64 0.61 0.56 0.23<br />

C20:2 0.65* 1.01* 0.60 0.77 0.88 0.88 0.73 0.79<br />

SD 0.22 0.52 0.14 0.31 0.19 0.17 0.11 0.25<br />

C20:4 0.33 0.32 0.30 ND ND ND ND ND<br />

SD 0.15 0.14 0.10 - - - - -<br />

C20:3 n3+n6 0.85 3.66 ND 0.97 ND ND ND ND<br />

SD 0.21 0.41 - 0.12 - - - -<br />

C18:2 / C18:3n3 11.96 3.35 28.93 3.93 31.49 3.78 25.41 3.91<br />

SFA 17.28 13.30 17.83 13.61 17.95 17.73 16.98 14.69<br />

MUFA 59.63 52.17 61.49 54.53 57.10 56.61 61.14 51.23<br />

PUFA 23.09 36.44 20.86 32.52 23.95 35.28 21.59 33.57<br />

UFA 82.72 88.60 82.35 87.05 81.05 91.89 82.73 84.79<br />

MUFA/SFA 3.45 3.92 3.45 4.01 3.18 3.19 3.60 3.49<br />

PUFA/SFA 1.34 2.74 1.17 2.39 1.33 1.99 1.27 2.29<br />

- control; E – experimental; SD – standard deviation ND – not determ<strong>in</strong>ed; SFA – saturated fatty<br />

acid; MUFA – monounsaturated fatty acid; PUFA – polyunsaturated fatty acid; UFA – total<br />

unsaturated fatty acid,<br />

*-statistically significant difference between the experimental and control samples of the same group<br />

with<strong>in</strong> the row, at p < 0.05<br />

**-statistically significant difference between the experimental and control samples of the same group<br />

with<strong>in</strong> the row, at p < 0.01<br />

481


482<br />

Đ. Okanović et al.<br />

The average ratio of PUFA/SFA recommended by the British Department<br />

of Health is more than 0.45, and WHO/FAO experts have reported guidel<strong>in</strong>es for a<br />

“balanced diet” <strong>in</strong> which suggested ratio of PUFA/SFA should be above 0.4 (Wood<br />

et al., 2003; HMSO. 1994). In our study, that ratio was significantly higher (p <<br />

0.05) than recommended values <strong>in</strong> all samples (from 1.17 to 2.74). Scollan et al.<br />

(2006), reported that high values of PUFA/SFA ratios <strong>in</strong> pig M longissimus dorsi<br />

are consequence of high level of l<strong>in</strong>oleic acid (C18:2 n-6). In our study, after heat<br />

treatment of M. longissimus dorsi muscle, there was no significant (p > 0.05)<br />

decrease of PUFA/SFA ratio, but between results <strong>in</strong> pig muscles fed with l<strong>in</strong>seed<br />

enriched diet, there was a significant <strong>in</strong>crease (p = 0.02) of PUFA/SFA ratio, <strong>in</strong><br />

comparison with control samples.<br />

Δ5 and Δ6 desaturase and elongase enzymes have an important role to<br />

synthesize long cha<strong>in</strong> (C20-22) PUFA from 18:2n-6 and 18:3n-3. Muscles<br />

conta<strong>in</strong>ed very high proportion of these long cha<strong>in</strong> fatty acids, unlike fat and<br />

bacon, where C20:4 and C20:3 n3+n6 were not even detected. Although these fatty<br />

acids show positive nutritional effect, recommendation is that their ratio <strong>in</strong> tissue<br />

should not be more than 4.0 (Wood et al., 2003; Scollan et al., 2006), which have<br />

been the case <strong>in</strong> all our samples, except for the samples E (Table 2).<br />

Comparison of fatty acid content <strong>in</strong> M. longissimus dorsi muscle before<br />

and after heat treatment showed that there was no significant change (p > 0.05) <strong>in</strong><br />

fatty acid composition between these samples (Fig. 1).<br />

On the other hand, samples of M. longissimus dorsi of the control and<br />

experimental groups showed significant differences <strong>in</strong> fatty acid composition (Fig.<br />

2). SFA content decreased significantly (p = 0.006), MUFA content also<br />

significantly (p = 0.04) decreased, and PUFA and UFA contents significantly (p =<br />

0.03 and p = 0.02, respectively) <strong>in</strong>creased <strong>in</strong> experimental groups.<br />

SFA – saturated fatty acid, MUFA – monounsaturated fatty acid,<br />

PUFA – polyunsaturated fatty acid; UFA – total unsaturated fatty acid<br />

Figure 1. Changes of fatty acid composition after heat treatment <strong>in</strong> M. longissimus dorsi muscle<br />

of pigs fed with control and l<strong>in</strong>seed enriched diet


Meat fatty acid profile of ...<br />

SFA – saturated fatty acid, MUFA – monounsaturated fatty acid; PUFA – polyunsaturated fatty acid,<br />

UFA – total unsaturated fatty acid; Levels of significance: *p < 0.05 for results of the same group;<br />

**p < 0.01 for results of the same group<br />

Figure 2. Fatty acid composition <strong>in</strong> M. Longissimus dorsi muscle of pigs fed with control and<br />

l<strong>in</strong>seed enriched diet<br />

Levels of significance: *p < 0.05 for results of the same group; **p < 0.01 for results of the same<br />

group<br />

Figure 3. Content of the stearic and l<strong>in</strong>oleic acid <strong>in</strong> M. longissimus dorsi of pigs fed control and<br />

l<strong>in</strong>seed enriched diet<br />

It is known that UFA conta<strong>in</strong><strong>in</strong>g double bonds are easily oxidized, and thus<br />

fatty acid composition can <strong>in</strong>fluence the palatability of meat, as well as that the<br />

effect of fatty acids on meat tenderness is due to the different melt<strong>in</strong>g po<strong>in</strong>ts of<br />

<strong>in</strong>dividual fatty acids, especially stearic and l<strong>in</strong>oleic acid (Jeong et al., 2010).<br />

483


484<br />

Đ. Okanović et al.<br />

In Figure 3 are shown changes <strong>in</strong> the content of these two acids and their<br />

total amounts <strong>in</strong> M. longissimus dorsi, as a result of the differences <strong>in</strong> composition<br />

of standard (control) and l<strong>in</strong>seed enriched diet used for feed<strong>in</strong>g of pigs.<br />

As it can be seen from the Fig. 3, l<strong>in</strong>seed enriched diet significantly<br />

<strong>in</strong>fluenced the content of both stearic and l<strong>in</strong>oleic acid (p = 0.013 and p = 0.003,<br />

respectively). Although the stearic acid content decreased, the content of l<strong>in</strong>oleic<br />

acid <strong>in</strong>creased to a level that the sum of these two acids was significantly higher <strong>in</strong><br />

comparison with the meat of pigs fed the control diet. After the heat treatment, the<br />

content of those fatty acids were lower, <strong>in</strong> both, control and experimental samples,<br />

but the differences were <strong>in</strong>significant (p > 0.05). L<strong>in</strong>seed enriched diet positively<br />

<strong>in</strong>fluenced the content of stearic and l<strong>in</strong>oleic acid, and therefore it might positively<br />

affected the tenderness of M. longissimus dorsi muscle. Heat treatment did not<br />

significantly decrease the content of these fatty acids <strong>in</strong> any sample, and<br />

consequently, probably do not showed significant <strong>in</strong>terference with the tenderness<br />

of pig meat (Okanović et al., 2010).<br />

Conclusions<br />

Based on the results of this study, the follow<strong>in</strong>g conclusions can be made:<br />

- Levels of omega-3 fatty acids <strong>in</strong> the fresh and roasted meat of M. longissimus<br />

dorsi, bacon and back fat <strong>in</strong> experimental group were much higher than <strong>in</strong> the<br />

control group, which made the ratio of omega-6 to omega-3 fatty acids much<br />

more favourable toward n-3 fatty acids <strong>in</strong> the experimental group.<br />

- From nutritional po<strong>in</strong>t of wiev, our study justified the use of the extruded<br />

l<strong>in</strong>seed enriched diet to improve the ratio of omega-6 and omega-3 fatty acids to<br />

the desired level less than 4.<br />

- L<strong>in</strong>seed enriched diet positively <strong>in</strong>fluenced the fatty acid composition of pig M.<br />

longissimus dorsi muscle by decreas<strong>in</strong>g SFA content, while <strong>in</strong>creas<strong>in</strong>g PUFA<br />

and UFA contents.<br />

- Heat treatment did not significantly decreased content of stearic and l<strong>in</strong>oleic<br />

fatty acids <strong>in</strong> any sample.<br />

Our studies could contribute to improvement of the nutritional value of pig meat by<br />

use of l<strong>in</strong>seed enriched diet, thus mak<strong>in</strong>g it a good source of beneficial n-3 fatty<br />

acids.<br />

Acknowledgement<br />

The experimental work represented <strong>in</strong> this paper is a part of Integrated and<br />

Interdiscipl<strong>in</strong>ary Research Project funded by Serbian M<strong>in</strong>istry of Education,<br />

Science and Technological Development, Project No: III 46012.<br />

Masnokisel<strong>in</strong>ski profil mesa sv<strong>in</strong>ja hranjenih smešom<br />

obogaćenom semenom lana<br />

Đ. Okanović, D. Ivanov, D. Palić, A. Mandić, N. Ilić


Rezime<br />

Meat fatty acid profile of ...<br />

Cilj istraživanja bio je da se utvrdi uticaj smeše sa dodatkom aditiva<br />

bogatog lanenim semenom na masnokisel<strong>in</strong>ski profil i sadržaj omega-masnih<br />

kisel<strong>in</strong>a u sv<strong>in</strong>jskom mesu.<br />

Dvanaest grla podeljeno je u dve grupe: kontrolnu i eksperimentalnu, i<br />

uzgajano do tež<strong>in</strong>e od 110 kilograma. Eksperimentalna grupa je hranjena<br />

standardnom smešom obogaćenom sa 2.5% komercijalnog aditiva Vitalan ® . Na<br />

kraju perioda uzgoja analiziran je sadržaj masnih kisel<strong>in</strong>a svežeg i pečenog mesa<br />

uzoraka uzetih iz obe grupe. Takođe je utvrđen odnos između omega-6 i omega-3<br />

masnih kisel<strong>in</strong>a.<br />

Uzorci iz eksperimentalne grupe hranjene smešom obogaćenom lanom<br />

poka<strong>za</strong>li su viši sadržaj omega-3 masnih kisel<strong>in</strong>a u mesu, č<strong>in</strong>eći ih poželjnijim sa<br />

stanovišta ljudske ishrane i zdravlja. Ishrana obogaćena lanom pozitivno je uticala<br />

na sastav masnih kisel<strong>in</strong>a u mišiću M. Longissimus dorsi snižavajući sadržaj<br />

<strong>za</strong>sićenih masnih kisel<strong>in</strong>a i povećavajući sadržaj mono- i pol<strong>in</strong>e<strong>za</strong>sićenih masnih<br />

kisel<strong>in</strong>a. Toplotni tetman nije značajno uticao na sadržaj stear<strong>in</strong>ske i l<strong>in</strong>olne<br />

kisel<strong>in</strong>e ni u jednom uzorku. Na kraju je <strong>za</strong>ključeno da ishrana obogaćena<br />

ekstrudiranim lanenim semenom ima blagotvoran uticaj na već<strong>in</strong>u parametara koji<br />

su praćeni tokom eksperimenta.<br />

References<br />

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IVANOV, D., ČOLOVIĆ, R., BERA, O., LEVIĆ, J., SREDANOVIĆ, S., (2011):<br />

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various soybean products, Food and Feed Research, 38 (2), 65-70.<br />

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Berkshire pigs. Meat Science, 86, 607 – 615.<br />

KOUBA, M., ENSER, M., WHITTINGTON, F.M., NUTE, G.R. & WOOD, J.D.<br />

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MOUROT, J. & HERMIER, D. (2001): Lipids <strong>in</strong> monogastric animals meat.<br />

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systems that enchance the nutritional and health value of beef lipids and their<br />

relationship with meat quality. Meat Science, 74, 17 – 33.<br />

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<strong>Animal</strong> <strong>Husbandry</strong>, 25(5-6-1), pp. 439-449.<br />

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use of nutritional feed supplements. Food and Feed Research, 38(1), 21-26.<br />

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kvaliteta semena uljarica (pp. 311-314). Tehnološki fakultet Novi Sad, Savezni<br />

<strong>za</strong>vod <strong>za</strong> standardi<strong>za</strong>ciju, Beograd.<br />

WOOD. J.D.. RICHARDSON. R.I.. NUTE. G.R.. FISHER. A.V.. CAMPO. M.M..<br />

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meat quality: A review. Meat Science. 66. 21 – 32.<br />

WOOD, J.D., ENSER, M., FISHER, A.V., NUTE, G.R., SHEARD, P.R,<br />

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deposition, fatty acid composition and meat quality: A review. Meat Science, 78,<br />

343 – 358.<br />

Received 17 May 2012; accepted for publication 5 July 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 487-496 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636<br />

DOI: 10.2298/BAH1203487D<br />

THE EFFECT OF THE LEVEL OF MILK YIELD ON THE<br />

REPRODUCTION TRAITS IN BLACK AND WHITE<br />

COWS<br />

R. Djedović 1 , V. Bogdanović 1 , G. Trifunović 1 , M. D. Petrović 2 , M. M.<br />

Petrović 3 , D. Stanojević 1<br />

1<br />

Department of ZOO Techniques, University of Belgrade, Faculty of Agriculture, Nemanj<strong>in</strong>a 6,<br />

Zemun, Republic of Serbia<br />

2<br />

Faculty of Agronomy, Cara Dušana 34, 32000, Čačak, Republic of Serbia, University of Kragujevac<br />

3<br />

<strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Autoput 16, 11080, Belgrade-Zemun, Republic of Serbia<br />

Correspond<strong>in</strong>g author: genrad@agrif.bg.ac.rs<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: In this study a relationship between the milk yield and follow<strong>in</strong>g<br />

reproduction traits: number of <strong>in</strong>sem<strong>in</strong>ations per conception [AIS], service period<br />

[SP], age at calv<strong>in</strong>g [AC], calv<strong>in</strong>g <strong>in</strong>terval [CI] and birth weight [BW] is studied.<br />

The research <strong>in</strong>volved dairy cows of European type of Black and White cattle<br />

which are be<strong>in</strong>g <strong>in</strong>tensively improved by the genes of Holste<strong>in</strong> – Friesian breed.<br />

Mean values of general average for number of <strong>in</strong>sem<strong>in</strong>ations per conception,<br />

service period, age at calv<strong>in</strong>g, calv<strong>in</strong>g <strong>in</strong>terval and birth weight are: 2.00; 98.78;<br />

1088.08; 376.70 and 36.40, respectively. In general, the estimated phenotypic<br />

correlations (rp) between the milk yield over standard lactations and fertility traits<br />

were positive and unfavorable, and ranged from 0.24 for the relationship between<br />

milk yield and birth weight to 0.70 for relationship between milk yield and age at<br />

calv<strong>in</strong>g.<br />

Key words: level of milk yield, reproduction traits, phenotypic correlation, Black<br />

and White cattle<br />

Introduction<br />

In <strong>in</strong>tensive milk production over a longer period of years the problem<br />

regard<strong>in</strong>g the reproduction and dim<strong>in</strong>ished fertility <strong>in</strong> cows has been observed. For<br />

a practical rais<strong>in</strong>g of cattle it is important to study the <strong>in</strong>fluence of the level of milk<br />

yield on bov<strong>in</strong>e fertility s<strong>in</strong>ce between reproduction and lactation there is a close<br />

physiological correlation. By study<strong>in</strong>g the <strong>in</strong>fluence of milk yield on bov<strong>in</strong>e<br />

fertility different results have been obta<strong>in</strong>ed. The authors of a great number of<br />

papers have reported that high-yield<strong>in</strong>g dairy cows exhibit lower fertility and<br />

greater health disorders <strong>in</strong> relation to low produc<strong>in</strong>g dairy cows (Rauw et al.,


488<br />

R. Djedović et al.<br />

1998; Pryce et al.,1999, 2004; Sandoe et al., 1999; Lucy, 2001; Rokstrom et<br />

al.,2001; W<strong>in</strong>dig et al., 2005; Tekerli and Koçak, 2009; Scholz et al., 2010; Sun et<br />

al., 2010).<br />

These problems are present especially on those farms that raise larger<br />

populations of high-produc<strong>in</strong>g Holste<strong>in</strong> and Black and White dairy cows (Castillo-<br />

Juarez et al., 2000; et al Lucy, 2001; Sørensen and Ruiz, 2007) who are also<br />

expected, besides produc<strong>in</strong>g high milk yield <strong>in</strong> lactation, to produce a healthy and<br />

vital calf once a year. If a disorder occurs <strong>in</strong> bov<strong>in</strong>e reproductive cycle, besides its<br />

direct consequences on realized milk production, the reali<strong>za</strong>tion of normal herd<br />

ma<strong>in</strong>tenance is also rendered impossible.<br />

As a confirmation of a very complicated processes <strong>in</strong> bov<strong>in</strong>e reproduction<br />

serves a record which shows that only about 40-50% cows become pregnant at first<br />

<strong>in</strong>sem<strong>in</strong>ation (Royal et al,. 2000), thus the fertility <strong>in</strong> the populations of American<br />

Holste<strong>in</strong> cows is decreas<strong>in</strong>g at the rate of 0.5 -1.0% units annually (Bousquet et al.,<br />

2004).<br />

Tak<strong>in</strong>g <strong>in</strong>to account that economic importance of reproductive traits of<br />

dairy cattle is essential it is necessary to understand the factors which <strong>in</strong>fluence<br />

bov<strong>in</strong>e fertility, and they are all divided <strong>in</strong>to genetic and paragenetic<br />

(environmental factors). The success of improv<strong>in</strong>g fertility by genetic means is<br />

limited by low heritability performance although it does not mean that genes do not<br />

affect this trait but more that the value of additive genetic variation is small<br />

(Djedović et al., 2002). The fertility <strong>in</strong> cows is considerably more <strong>in</strong>fluenced by<br />

environmental factors because the majority of variations of reproductive<br />

parameters is under their <strong>in</strong>fluence. When s<strong>in</strong>gle factors are analyzed it is observed<br />

that their <strong>in</strong>fluence on bov<strong>in</strong>e fertility is of a different degree and also that a<br />

complex <strong>in</strong>fluence is possible. By the entire understand<strong>in</strong>g of more different effects<br />

on reproductive traits <strong>in</strong> cows the fertility of dairy herds can be improved.<br />

The research of some authors (Rokstrom et al,. 2001; W<strong>in</strong>dig et al., 2006)<br />

showed that there are unfavourable correlations between milk yield and fertility<br />

traits. They have confirmed low to mean values of coefficients of phenotypic and<br />

genetic correlations between milk yield and fertility traits (Pryce et al., 1999;<br />

Oltenacu and Algers, 2005; Jagusiak, 2006).<br />

Antagonistic relationship between these two groups of traits confirmed <strong>in</strong><br />

literature shows the necessity that the fertility traits should be <strong>in</strong>cluded <strong>in</strong> overall<br />

selection <strong>in</strong>dex.<br />

The aim of this paper was to establish the effect of different levels of milk<br />

yield on the most important reproduction traits as well as to give the grounds for<br />

the estimation of genetic variability and relationship between studied traits<br />

depend<strong>in</strong>g on the level of milk yield.


Material and methods<br />

The effect of the level of milk ...<br />

Data<br />

The research on the effect of different level of milk yield as a paragenetic<br />

factor on the reproduction traits was conducted on a farm of high-yield<strong>in</strong>g Black<br />

and White cattle. The farm is situated <strong>in</strong> the region characterized by <strong>in</strong>tensive<br />

vegetable production with capacity of about 500 milk<strong>in</strong>g animals. The cows belong<br />

to European type of Black and White cattle whose genotype is be<strong>in</strong>g improved<br />

<strong>in</strong>tensively by <strong>in</strong>troduc<strong>in</strong>g genes of Holste<strong>in</strong>-Friesian breed (HF). The study<br />

<strong>in</strong>cluded 730 standard lactations <strong>in</strong> a whole.<br />

The criteria for <strong>in</strong>volv<strong>in</strong>g the animals <strong>in</strong>to trial were as follows:<br />

- to be <strong>in</strong>volved <strong>in</strong> milk production dur<strong>in</strong>g the trial period,<br />

- to have records on orig<strong>in</strong> for three preced<strong>in</strong>g generations,<br />

- to have concluded the first, second and third lactation,<br />

- to have lactations not shorter than 210 days.<br />

For study purposes, that is, for establish<strong>in</strong>g the relationship between the level<br />

of milk yield and reproduction traits all the cows were assigned per lactations <strong>in</strong>to<br />

three groups with different share of Holste<strong>in</strong> genes. The groups were formed based<br />

on the distribution of the frequency of genotypes regarded per lactations. All the<br />

cows per lactation groups were classified <strong>in</strong>to three classes depend<strong>in</strong>g on the level<br />

of milk production (I, II and III). The milk yield classes were formed on the basis<br />

of distribution of frequency of milk yield regarded per lactations (Table 1).<br />

An average milk yield for the first (I) level was 5786, the second (II) 6976 and<br />

the third (III) 8263 kg.<br />

Table 1. Distribution of records per lactations, share of HF genes and milk yield levels<br />

Share of HF genes, % n<br />

Lactation I II III I II III<br />

I 0-33 34-48 49-100 87 118 104<br />

II 0-33 34-48 49-100 75 100 61<br />

III 0-33 34-48 49-100 54 85 46<br />

Level of milk yield, kg<br />

Lactation I II III I II III<br />

I 5500 91 141 77<br />

II 6200 73 89 74<br />

III 6700 56 72 57<br />

I-III 6100 220 302 208<br />

Model<br />

Phenotypic variability and correlation of studied traits were established by<br />

the Least Square Method (Harvey, 1990) that is, by the use of follow<strong>in</strong>g fixed<br />

model:<br />

489


490<br />

R. Djedović et al.<br />

Yijkl = μ + Li +Nj +LNij +Gk +Sl + LSil + b1 (x1- 1) + b2 (x2- 2 ) + eijkl<br />

where:<br />

Yijklmo – is the manifestation of the trait of o- <strong>in</strong>dividual, i- lactation, j- milk yield<br />

level , k- year of calv<strong>in</strong>g, l – calv<strong>in</strong>g season,<br />

μ – general average of population for given trait,<br />

Li – fixed effect of i - lactation (i= 1,..3),<br />

Nj – fixed effect of j – milk yield level (j= 1,..3),<br />

LNij – fixed effect of i – lactation and j - milk yield level (ij = 1,..9),<br />

Gk- fixed effect of k- year at calv<strong>in</strong>g (k= 1,..5),<br />

Sl – fixed effect of l – calv<strong>in</strong>g season (l= 1,..4),<br />

LSil – fixed effect of <strong>in</strong>teraction of i – lactation and fixed effect of l – calv<strong>in</strong>g<br />

season (il=1...12),<br />

b1 – l<strong>in</strong>ear regression effect of the share of Holste<strong>in</strong>-Friesian (HF) bov<strong>in</strong>e genes,<br />

b2 – partial regression effects of the share of Holste<strong>in</strong>-Friesian (HF) genes per milk<br />

yield levels,<br />

eijkl – random error with characteristics N (0, σ 2 ).<br />

Results and Discussion<br />

The mean values as well as the deviations and deviation errors from the<br />

mean value for studied reproduction traits depend<strong>in</strong>g on the level (classes) of milk<br />

yield are shown <strong>in</strong> Table 2.<br />

Table 2. Mean values (LSM), mean deviations (q) and standard errors of mean deviations (S q)<br />

for reproduction traits depend<strong>in</strong>g on milk yield level 1<br />

Level of<br />

Reproduction traits<br />

milk yield n AIS SP AC CI BW<br />

LSM<br />

Se<br />

730<br />

2.00<br />

0,07<br />

98,78<br />

2,71<br />

1088,08<br />

0,92<br />

376,70<br />

2,68<br />

36,40<br />

0,15<br />

I Low<br />

q<br />

Sq<br />

220<br />

-0,32<br />

0,08<br />

-14,52<br />

2,78<br />

-1,56<br />

0,94<br />

-14,23<br />

2,76<br />

-0,28<br />

0,15<br />

II<br />

Medium<br />

q<br />

Sq 302<br />

-0,12<br />

0,07<br />

-7,39<br />

2,54<br />

0,27<br />

0,86<br />

-7,32<br />

2,52<br />

0,09<br />

0,14<br />

q<br />

0,44 21,91 1,29 21,55 0,19<br />

III High<br />

208<br />

Sq<br />

0,08 2,79 0,95 2,77 0,15<br />

Fexp 13,80 ** 36,90 ** 2,73 N.S . 36,18 ** 2,56 N.S .<br />

1<br />

LSM = Least squares means, SE = Standard error; AIS= number of <strong>in</strong>sem<strong>in</strong>ations per conception;<br />

SP= service period (days); AC= age at calv<strong>in</strong>g (days); CI= calv<strong>in</strong>g <strong>in</strong>terval (days); BW= birth weight<br />

(kg)<br />

NS – (P>0,05) * - (P


The effect of the level of milk ...<br />

Mean value of the number of <strong>in</strong>sem<strong>in</strong>ations per conception for all animals<br />

was 2.00±0.07. Deviations from the mean value ranged <strong>in</strong> the <strong>in</strong>terval from –0.32<br />

(I class) to 0.44 (III class). By the variance analysis a statistically highly significant<br />

differences (P0,05) * - (P


492<br />

R. Djedović et al.<br />

three classes a highly significant correlation was confirmed. The correlation<br />

coefficients were rp=0.38 ; rp=0.39 and rp=0.46 (I, II and III level).<br />

In animals with low milk production (I level of milk yield) a poor, positive<br />

and highly significant correlation between the milk yield <strong>in</strong> standard lactation and<br />

calv<strong>in</strong>g <strong>in</strong>terval was confirmed. On the contrary, both <strong>in</strong> cows with mean and high<br />

milk yield (II and III class) a mean, positive and highly significant correlation was<br />

confirmed. The phenotypic correlation coefficients were for the first class rp= 0.38 ;<br />

second rp=0.41 and third rp= 0.48.<br />

In relation to previously mentioned traits, phenotypic correlation between<br />

the milk yield and the age at calv<strong>in</strong>g was moderately strong and positive whilst per<br />

levels of milk yield it was rp= 0. 70 (I level); rp=0.69 (II level) and rp=0.48 (III<br />

level).<br />

For I and II level of milk yield a phenotypic correlation between the milk<br />

yield and birth weight was mean, positive and highly significant. In the third level of<br />

milk yield a weak but also positive and highly significant correlation was observed.<br />

By <strong>in</strong>creas<strong>in</strong>g the milk yield a number of <strong>in</strong>sem<strong>in</strong>ations per successful<br />

conception <strong>in</strong>creased as well. Likewise the previous trait a symmetrical <strong>in</strong>crease of<br />

prolonged service period depend<strong>in</strong>g on the <strong>in</strong>crease of milk yield was also<br />

established. In the trait regard<strong>in</strong>g the age of cow at calv<strong>in</strong>g a high variability was<br />

not confirmed, contrary to previous traits. By <strong>in</strong>creas<strong>in</strong>g the milk yield a trend of<br />

<strong>in</strong>creas<strong>in</strong>g the duration of calv<strong>in</strong>g <strong>in</strong>terval was manifested. Deviations <strong>in</strong> birth<br />

weight from the average value are rather low, so that the observed variations occurred<br />

most probably under the effect of some factors not studied here<strong>in</strong>.<br />

By analys<strong>in</strong>g the established values of reproductive traits it is observed that<br />

the effect of the level of milk yield on greater number of the same traits was<br />

significant (P


The effect of the level of milk ...<br />

Estimated phenotypic correlations are unfavourable <strong>in</strong> general s<strong>in</strong>ce high-yield<strong>in</strong>g<br />

cows display weaker reproductive efficiency.<br />

The greatest number of estimated values of phenotypic correlations<br />

between the milk yield and reproductive traits published <strong>in</strong> literature are on the low<br />

and mean level. Price et al. (1999) estimate that unfavourable correlation between<br />

the milk yield and calv<strong>in</strong>g <strong>in</strong>terval <strong>in</strong> the populations of dairy cattle was (0.28 ±<br />

0.06). Hansen et al. (1983) estimated that correlation between the milk yield and<br />

number of <strong>in</strong>sem<strong>in</strong>ations per conception was 0.37.<br />

Number of service periods is the most important part of the calv<strong>in</strong>g <strong>in</strong>terval,<br />

because variation <strong>in</strong> gestation length, which represents the second part of the<br />

calv<strong>in</strong>g <strong>in</strong>terval, is very low (Jagusiak, 2006). Therefore, estimates of the<br />

phenotypic correlations between calv<strong>in</strong>g <strong>in</strong>terval and milk yield traits are usually<br />

similar to those between service period and yield traits.<br />

Thus, Veerkamp et al. (2001) report that estimated correlations between the<br />

milk yield and reproductive traits were low and that the values for calv<strong>in</strong>g <strong>in</strong>terval<br />

were 0.19; for service period 0.20; and for days to first service 0.15.<br />

Similarly to our study Marti and Funk (1994) studied the correlation between the<br />

milk yield at different levels and reproduction traits and concluded that the highestproduc<strong>in</strong>g<br />

cows had the longest service period.<br />

Contrary to all previously cited authors Raheja et al. (1989) and Pantelić<br />

et al. (2008) established the lowest coefficients of phenotypic correlations between<br />

the milk yield and reproductive traits.<br />

Conclusion<br />

The unfavourable phenotypic correlations obta<strong>in</strong>ed between the milk yield<br />

and fertility traits <strong>in</strong> this study as well as the results of cited authors show that the<br />

choice of cows based only on the production of milk, over a longer time period,<br />

may lead to dim<strong>in</strong>ish<strong>in</strong>g of the bov<strong>in</strong>e fertility. Therefore, when estimat<strong>in</strong>g the<br />

bov<strong>in</strong>e breed<strong>in</strong>g value the values of phenotypic and genetic correlations between<br />

the traits of milk yield and fertility should be <strong>in</strong>cluded <strong>in</strong> an entire selection <strong>in</strong>dex.<br />

Uticaj nivoa mlečnosti na osob<strong>in</strong>e plodnosti krava crno bele<br />

rase<br />

R. Đedović , V. Bogdanović, G. Trifunović, M. Petrović, M. M. Petrović, D.<br />

Stanojević<br />

Rezime<br />

U radu je ispitivan odnos između pr<strong>in</strong>osa mleka i sledećih osob<strong>in</strong>a plodnosti:<br />

<strong>in</strong>deks osemenjavanja [IO], servis period [SP], uzrast pri teljenju [UT],<br />

493


494<br />

R. Djedović et al.<br />

međutelidbeni <strong>in</strong>terval [MI] i masa teladi pri rođenju [MTR]. Ispitivanja su se<br />

odnosila na mlečne krave evropskog tipa crno-belih goveda koje se <strong>in</strong>tenzivno<br />

oplemenjuju genima holštajn-frizijske rase. Za analizu je korišćen Metod najmanjih<br />

kvadrata – LSMLMW (HARVEY, 1990), fiksni model.<br />

Srednje vrednosti opšteg proseka <strong>za</strong> <strong>in</strong>deks osemenjavanja, servis period, uzrast<br />

pri teljenju, međutelidbeni <strong>in</strong>terval i masu teladi pri rođenju su: 2,00; 98,78;<br />

1088,08 ; 376,70 i 36,40, respektivno.<br />

Procenjene fenotipske korelacije (rp) između pr<strong>in</strong>osa mleka i osob<strong>in</strong>a plodnosti<br />

generalno su bile pozitivne i nepovoljne, i imale su vrednosti od 0,24 <strong>za</strong> odnos<br />

između pr<strong>in</strong>osa mleka i masu teladi pri rođenju do 0,70 <strong>za</strong> odnos između pr<strong>in</strong>osa<br />

mleka i uzrasta pri teljenju.<br />

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<strong>in</strong> the high-produc<strong>in</strong>g dairy cow. Livest Prod Sci 86, 125–135.<br />

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the Holste<strong>in</strong> populations of the world. Proc. Int Conf on Fertility <strong>in</strong> dairy<br />

cows, Liverpool Hope University, UK (EAAP Satellite Meet<strong>in</strong>g), 17.<br />

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yield? Hoard's Dairyman 144–536.<br />

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(2010): Improvement <strong>in</strong> genetic evaluation of female fertility <strong>in</strong> dairy cattle<br />

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among body condition score, yield, and fertility <strong>in</strong> first-parity cows<br />

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Received 11 July 2012; accepted for publication 20 August 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 497-507 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.237<br />

DOI: 10.2298/BAH1203497N<br />

RESULTS OF THE BIOLOGICAL TEST OF<br />

SIMMENTAL BULLS IN CENTRAL SERBIA<br />

D. Nikšić 1 , V. Pantelić 1 , D. Ostojić-Andrić 1 , P. Perišić 2 , M. Petričević 1 , R.<br />

Đedović 2 , M. La<strong>za</strong>rević 1<br />

1 <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Autoput 16, P. Box 23, 11080, Belgrade-Zemun, Republic of Serbia<br />

2 Faculty of Agriculture University of Belgrade, Nemanj<strong>in</strong>a 6, 11080 Belgrade, Republic of Serbia<br />

Correspond<strong>in</strong>g author: draganniksic84@gmail.com<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: Exceptionally important aspect <strong>in</strong> cattle production, from<br />

the aspect of production and economy, is ensur<strong>in</strong>g normal and regular<br />

fertility. Every cattle breeder wants to have high-yield<strong>in</strong>g animals which at the<br />

same time have good fertility. In proper cattle breed<strong>in</strong>g this means that from each<br />

cow dur<strong>in</strong>g s<strong>in</strong>gle year one healthy calf is obta<strong>in</strong>ed. Use of artificial <strong>in</strong>sem<strong>in</strong>ation<br />

has enabled that one breed<strong>in</strong>g male is used as sire for several tens of thousands of<br />

progeny, however, there is always the risk that sires could be carriers of lethal and<br />

semi-lethal genes, which can cause huge losses of calves. In order to br<strong>in</strong>g these<br />

undesirable occurences to a m<strong>in</strong>imum, so called bilogical test is <strong>in</strong>cluded <strong>in</strong> the<br />

breed<strong>in</strong>g and selection activities, i.e. bulls are tested through their progeny for<br />

presence of difficult calv<strong>in</strong>g (dystocia) abd calf losses caused by genetic anomalies.<br />

In Republic of Serbia, this test is carried out on ehtire Simmental population <strong>in</strong> an<br />

exchange of data produced by primary breed<strong>in</strong>g organi<strong>za</strong>tions. Per each tested bull,<br />

it is necessary to have data on m<strong>in</strong>imum 50 randomly selected calves. Calves are<br />

exam<strong>in</strong>ed visually 65 days after the birth, at the latest. In the present study, the<br />

results of the biological test<strong>in</strong>g of 35 Simmental bulls, sires of total 3572 calves on<br />

the territory of Central Serbia, <strong>in</strong> the period 2008-2009, are used. The effect of<br />

sires on parameters of biological test were studied: body mass of calves at birth,<br />

calf score and calv<strong>in</strong>g score. Also, bulls were ranked based on said parameters,<br />

male/female calves ratio and percentage of tw<strong>in</strong>s and still-born calves for each bull<br />

<strong>in</strong>dividually were determ<strong>in</strong>ed. After the rank of bulls was established, the<br />

correlation between the rank and studied fertility traits was determ<strong>in</strong>ed.<br />

Correlations were expressed us<strong>in</strong>g the Spearman coefficient. Research results show<br />

that the effect of bulls was very high p


498<br />

Introduction<br />

D. Nikšić et al.<br />

For present trends <strong>in</strong> modern production of milk and meat it is absolutely<br />

unacceptable to have one-sided selection for productive traits only, because it can<br />

greatly contribute to numerous metabolic disorders and shorten<strong>in</strong>g of productive<br />

life. Modern/contemporary breed<strong>in</strong>g goals and programs are focused primarily on<br />

reach<strong>in</strong>g and ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g of the optimal balance between productive and functional<br />

traits without any health risk and compromis<strong>in</strong>g of animals’ ethological<br />

characteristics (Ostojić-Andrić et al., 2011). Regardless of the breed<strong>in</strong>g goal and<br />

def<strong>in</strong>ed program, fertility and fitness traits must be iontegrated, i.e. traits of<br />

resistance to diseases (Trivunović et al., 2011).<br />

Biological test provides the right <strong>in</strong>formation on breed<strong>in</strong>g value of bulls <strong>in</strong><br />

the progeny test<strong>in</strong>g. It <strong>in</strong>cludes study of bulls <strong>in</strong> terms of <strong>in</strong>heritance of<br />

degenerative properties, potential <strong>in</strong>cidence of calves with congenital deficiencies<br />

and defects, lethal and semi-lethal factors which ensures acurate <strong>in</strong>sight of the<br />

quality of calves obta<strong>in</strong>ed from <strong>in</strong>dividual bull sire. With this test, practically, it is<br />

established if breed<strong>in</strong>g male is carrier of lethal, semi-lethal or harmful genes,<br />

where:<br />

• Lethal genes cause death of the progeny dur<strong>in</strong>g<br />

gestation/gravidity, dur<strong>in</strong>g or immediately post- parturition;<br />

• Semi-lethal genes cause birth of avital progeny which dies shortly<br />

after birth, or some time subsequent to parturition;<br />

• Harmful genes which do not cause directly the death of calves, but<br />

<strong>in</strong>duce dim<strong>in</strong>ish<strong>in</strong>g of the vitality and resistance of progeny of harmful genes.<br />

Biological test starts at the moment when young bulls collect the first 750<br />

doses of semen. In that period, accord<strong>in</strong>g to pre-def<strong>in</strong>ed schedule, semen is<br />

distributed to farms and cows and heifers are <strong>in</strong>sem<strong>in</strong>ated randomly Đedović<br />

(2004).<br />

Biological test of young bulls is carried out <strong>in</strong> production conditions of the<br />

population. In order to establish if potential breed<strong>in</strong>g male is carrier of undesirable<br />

genes (lethal, semi-lethal or harmful genes), it is necessary to study at least 50<br />

calves. Calves are exam<strong>in</strong>ed <strong>in</strong> the first month subsequent to parturition (at latest<br />

65 days post partum), and focus is usually on 10 defects, and which of them will be<br />

<strong>in</strong>cluded <strong>in</strong> the test depends on the specific population.<br />

Fertility is almost regularly the first limit<strong>in</strong>g factor <strong>in</strong> milk production. One<br />

of the most important reproductive traits is body mass of calves at birth. It is<br />

considered as one of the major traits which <strong>in</strong>fluence the calv<strong>in</strong>g progress, when<br />

there is objective risk of <strong>in</strong>cidence of difficult calv<strong>in</strong>g (dystocia) and calf mortality<br />

Johanson and Berger, (2003); L<strong>in</strong>den et al., (2009). In case of difficult calv<strong>in</strong>g<br />

(dystocia), the ma<strong>in</strong> issue is disproportion of the fetus size and birth canals of the<br />

dam, which is most often case with first calv<strong>in</strong>g females, as stated by Mart<strong>in</strong>ez et


Results of the biological...<br />

al.,(1983) and Lombard et al. (2007). The expression of this trait is also <strong>in</strong>fluenced<br />

by hereditary and environment factors, the most important are the follow<strong>in</strong>g: breed,<br />

calf sex/gender, calv<strong>in</strong>g order, duration of gravidity, dam’s age, duration of dry<br />

period, dam’s body mass, breed<strong>in</strong>g/rear<strong>in</strong>g and nutrition as stated by Lat<strong>in</strong>ović et<br />

al.,(1983); Skalicki et al., (1991); Trifunović et al. (1998).<br />

In the present study production results of Simmental bulls are analyzed and<br />

cow fertility results <strong>in</strong> period 2008 – 2009 presented, <strong>in</strong> order to present to<br />

scientific community the genetic potential of Serbia's cattle population <strong>in</strong> terms of<br />

productivity of bulls and fertility of cows of Simmental breed and also to <strong>in</strong>dicate<br />

the frequency of <strong>in</strong>cidence of still born calves and calves with anomalies.<br />

Materials and Methods<br />

The data recorded by the Ma<strong>in</strong> Breed<strong>in</strong>g Organi<strong>za</strong>tion – <strong>Institut</strong>e for<br />

<strong>Animal</strong> husbandry, Belgrade-Zemun, was used <strong>in</strong> the present study. Biological test<br />

was done on 35 bulls of Simmental breed with data on 3.572 calves, born <strong>in</strong> the<br />

period from 2008 to 2009 on the territory of Central Serbia. Analysis <strong>in</strong>cluded<br />

follow<strong>in</strong>g traits: body mass at birth (BMB), calf score at birth (CSB), calv<strong>in</strong>g score<br />

(CS), type of birth (TB), number of still born calves (SBC) and sex ratio.<br />

Frequencey, i.e. percentage values were determ<strong>in</strong>ed for calf score at birth,<br />

calv<strong>in</strong>g score, type of birth and number of still born calves. The effect of sires on<br />

variability of traits (body mass of calves, calf score at birth, calv<strong>in</strong>g score)<br />

observed <strong>in</strong> the biological test was determ<strong>in</strong>ed us<strong>in</strong>g s<strong>in</strong>gle factor variance analysis<br />

(p


500<br />

D. Nikšić et al.<br />

Novaković et al. (2012) <strong>in</strong> the study of the effect of numerous systematic factors on<br />

fertility parameters of the biological test. In the same study, the presence of<br />

significant variability <strong>in</strong> regard to body mass at birth between sires was established.<br />

Table 1. Mean values and variability of traits <strong>in</strong> the biological test<br />

Traits x m<strong>in</strong> max SD CV Se<br />

Body mass at birth 44,54 25 73 5,27 11,03 0,09<br />

Calf score at birth 4,53 2 5 0,59 13,02 0,01<br />

Calv<strong>in</strong>g score 4,66 2 5 0,55 11,8 0,01<br />

In the analysis of variance it was established that all three traits <strong>in</strong> the<br />

biological test vary significantly (p


Results of the biological...<br />

Table 3. Rank of bulls for studied fertility traits based on average values<br />

Bull<br />

name<br />

Bull<br />

HB<br />

Body mass<br />

at birth<br />

Rank<br />

Calf<br />

score at<br />

birth<br />

Rank<br />

Calv<strong>in</strong>g<br />

score<br />

DIETER 1427 44,74 14 4,68 18 4,77 20<br />

STIER 1492 43,99 19 4,28 24 4,78 19<br />

DONER B158 42,33 30 4,25 25 4,62 26<br />

HUMSTREIF B206 43,02 24 3,95 32 5 1<br />

WEHOR B213 42,93 26 3,91 33 5 2<br />

ERFAS 1352 54,2 1 5 1 5 3<br />

FAO B19 42,99 25 4,13 27 4,09 32<br />

FEST B145 43,8 21 4,14 26 4,05 33<br />

HOFAL 1500 43,28 23 4,12 30 4,03 34<br />

ZASTRADA 1453 49,25 4 4,8 16 4,75 22<br />

WEIPORT V026 50,79 2 4,93 10 4,55 28<br />

HORMAZ 1488 48,36 7 4,56 21 4,79 17<br />

HORMIT 1470 49,6 3 4,52 22 4,57 27<br />

VALBO B279 44,38 15 4,64 19 4,86 12<br />

ZAHLO 1497 45,54 10 4,63 20 4,66 25<br />

RAUBECK 1507 44,2 18 3,81 34 4,99 4<br />

WOZ 1433 42,09 31 3,6 35 4,87 10<br />

HODAR B68 43,35 22 4,07 31 3,99 35<br />

RADEX B51 43,97 20 4,13 28 4,12 30<br />

RAŠA V626 48,95 5 4,76 17 4,87 11<br />

VALIAN 1501 48,89 6 4,97 4 4,97 5<br />

PORTO B118 42,51 28 4,87 13 4,92 7<br />

FEBRO B50 46,17 9 4,83 15 4,77 21<br />

HODBAL B275 44,96 12 4,94 9 4,79 18<br />

DION B244 44,32 17 4,96 6 4,81 15<br />

MOOR 1504 44,83 13 4,95 7 4,84 13<br />

MARNOLD 1508 44,35 16 4,95 8 4,84 14<br />

HORAU 1411 40,43 33 5 2 4,67 24<br />

MOBI B112 40,35 34 4,9 12 4,74 23<br />

LEO B164 39,61 35 4,34 23 4,27 29<br />

REPRON 1479 45,28 11 4,92 11 4,92 8<br />

MARMAL B333 42,68 27 4,98 3 4,9 9<br />

MALINT B232 47,78 8 4,13 29 4,12 31<br />

MILAN V1023 41,21 32 4,84 14 4,8 16<br />

VEBER B307 42,47 29 4,97 5 4,97 6<br />

501<br />

Rank


502<br />

D. Nikšić et al.<br />

values of body mass of calves, calf scores and calv<strong>in</strong>g scores. The best<br />

ranked bulls are Erfas HB 1352 for body mass at birth and calf score at birth, and<br />

for calv<strong>in</strong>g score the best ranked bull is Humstreif HB B206.<br />

Subsequent to rank<strong>in</strong>g of bulls, the level of concurrence between obta<strong>in</strong>ed<br />

ranks was tested. Table 4 presents correlation coefficients expressed by Spearman<br />

coefficient. Between bull ranks weak and positive correlation was determ<strong>in</strong>ed <strong>in</strong><br />

the range from 0,042 to 0,285, which enables carry<strong>in</strong>g out of direct selection. It is<br />

particularly important that the correlation is positive, it means that highly ranked<br />

bull <strong>in</strong> regard to calv<strong>in</strong>g score can produce calves with acceptable body mass at<br />

birth.<br />

Table 4. Correlations of bull ranks<br />

Rank Rank correlation<br />

BMB CSB 0,202**<br />

BMB CS 0,042**<br />

CSB CS 0,285**<br />

In this study, many parameters of the biological test were studied for each<br />

bull <strong>in</strong>dividually (Table 5). By compar<strong>in</strong>g these results it can be established that the<br />

total percentage of still born calves was significantly lower (1,23%) compared to<br />

results obta<strong>in</strong>ed by Gottschalk et al. (1983). Consider<strong>in</strong>g that bulls Zahlo HB 1497<br />

and Woz HB 1433 had more than 5 % of still born calves they were negative <strong>in</strong> the<br />

biological test, and as such excluded from breed<strong>in</strong>g.<br />

One of the most important factors <strong>in</strong>fluenc<strong>in</strong>g the change <strong>in</strong> the gene<br />

frequency of population is the bull semen used <strong>in</strong> artificial <strong>in</strong>sem<strong>in</strong>ation. Therefore<br />

it is very important to establish for each bull the presence of genes which <strong>in</strong>fluence<br />

the equal sex ratio of the progeny. In conditions of artificial <strong>in</strong>sem<strong>in</strong>ation, bulls<br />

which produce approximately 50% of male and 50% of female offspr<strong>in</strong>g are<br />

prefered. Accord<strong>in</strong>g to data used <strong>in</strong> the present study (Table 5), it was calculated<br />

that <strong>in</strong> average more female calves (54,16%) are born than males (45,84%).<br />

In the present study also the type of birth was determ<strong>in</strong>ed (Table 5). Type<br />

of birth means number of calves born per one parturition, i.e. if the result of calv<strong>in</strong>g<br />

was s<strong>in</strong>gle calf, tw<strong>in</strong>s or triplets. Of total number of calves 3752, there were no<br />

triplets, and number of tw<strong>in</strong>s was 170 which is approximately 4,76%,<br />

Also, the percentage values i.e. presence of calv<strong>in</strong>g scores for each bull<br />

<strong>in</strong>dividually were calculated. Number of calves born by Cesarean cut was<br />

exceptionally low – 5. Dams which underwent the Cesarean cut were <strong>in</strong>sem<strong>in</strong>ated<br />

with semen of bulls Mobi HB B112 (2), Febro B50, Marmal B333 and Milan<br />

V1023 (Table 5).<br />

S<strong>in</strong>ce it is known that difficult calv<strong>in</strong>g (dystocia) has equaly adverse effect<br />

on production of milk and meat, and know<strong>in</strong>g that body mass of calves at birth is


Results of the biological...<br />

highly hereditary, bull sires with genes for high body mass of calves should not be<br />

used for <strong>in</strong>sem<strong>in</strong>ation of heifers and cows of easier type.<br />

Table 5. Fertility parameters for each <strong>in</strong>dividual bull<br />

Bull name<br />

Bull<br />

HB<br />

Calv<strong>in</strong>g score Comments<br />

Number<br />

of<br />

calves 5 4 3 2 MR BL<br />

Sex ratio<br />

(m-f)<br />

1 DIETER 1427 101 87 5 9 - 4 10 39-62<br />

2 STIER 1492 96 80 11 5 - 2 4 32-64<br />

3 DONER B158 97 74 9 14 - 4 12 50-47<br />

4 HUMSTREIF 206B 116 116 - - - - - 47-69<br />

5 WEHOR 213B 109 108 - - - - - 57-52<br />

6 ERFAS 1352 95 95 - - - - 10 49-46<br />

7 FAO B19 92 8 84 - - - 6 39-53<br />

8 FEST B145 85 4 81 - - - 3 34-51<br />

9 HOFAL 1500 249 10 236 3 - 1 7 115-134<br />

10 ZASTRADA 1453 81 61 20 - - - 6 43-38<br />

11 WEIPORT V026 94 52 42 - - - 10 25-69<br />

12 HORMAZ 1488 81 69 7 5 - - - 34-47<br />

13 HORMIT 1470 92 65 14 13 - - - 48-44<br />

14 VALBO B 279 100 86 14 - - 2 10 46-54<br />

15 ZAHLO 1497 95 75 8 12 - 9 8 47-48<br />

16 RAUBECK 1507 85 84 1 - - - 2 43-42<br />

17 WOZ 1433 92 85 2 5 - 5 - 45-47<br />

18 HODAR B68 89 1 86 2 - 1 6 42-47<br />

19 RADEX B51 89 11 78 - - - 8 48-41<br />

20 RAŠA V626 87 76 11 - - - - 34-53<br />

21 VALIAN 1501 91 89 1 1 - 2 12 31-60<br />

22 PORTO B118 111 103 7 1 - 5 14 34-77<br />

23 FEBRO 50 81 65 14 1 1 1 - 46-35<br />

24 HODBAL B275 89 70 19 - - 1 4 49-40<br />

25 DION B244 100 81 19 - - - 4 53-47<br />

26 MOOR 1504 81 68 13 - - - 2 40-41<br />

27 MARNOLD 1508 80 67 13 - - - 4 44-36<br />

28 HORAU 1411 96 72 16 8 - - 2 39-57<br />

29 MOBI B112 117 95 15 5 2 2 2 60-57<br />

30 LEO B164 128 53 57 18 - - 2 69-59<br />

31 REPRON 1479 172 159 13 - - 2 - 71-101<br />

32 MARMAL B333 126 116 9 - 1 2 2 57-69<br />

33 MALINT B232 93 26 52 15 - - 2 45-48<br />

34 MILAN V1023 92 76 15 - 1 1 14 43-49<br />

35 VEBER B307 91 88 3 - - - 4 40-51<br />

In Table 6, the number and percentage of calves for each <strong>in</strong>dividual trait<br />

are presented. By observ<strong>in</strong>g the results related to calf score and low <strong>in</strong>cidence of<br />

503


504<br />

D. Nikšić et al.<br />

anomalies, most of calves were scored 5 and 4, or around 96%. Obta<strong>in</strong>ed results<br />

are consistent witjh results obta<strong>in</strong>ed by Đedović 2004., whereas results related to<br />

calv<strong>in</strong>g score were consistent with results obta<strong>in</strong>ed by H. Karb et al. (1988).<br />

Table 6. Number and percentage of calves accord<strong>in</strong>g to <strong>in</strong>dividual scores<br />

Calf<br />

scores<br />

Number<br />

of calves<br />

Percentage<br />

of calves<br />

Calv<strong>in</strong>g score<br />

Number<br />

of calves<br />

Percentage<br />

of calves<br />

5 2069 57,93 5 2475 69,29<br />

4 1364 38,18 4 975 27<br />

3 121 3,39 3 117 3,28<br />

2 18 0,5 2 5 0,14<br />

Conclusion<br />

In this study, the effect of bull sires on certa<strong>in</strong> fertility parameters <strong>in</strong><br />

biological test was determ<strong>in</strong>ed. Also, results for each bull <strong>in</strong>dividually were<br />

determ<strong>in</strong>ed.<br />

Based on conducted research and obta<strong>in</strong>ed results it can be concluded that<br />

the number of bulls who gave still born or calves with anomalies was very low,<br />

whereas the number of calves receiv<strong>in</strong>g the highest scores was exceptionally high.<br />

Sex ratio was close to the ideal 50%:50%, and percentage of tw<strong>in</strong> births was close<br />

to 5.<br />

The right choice of bulls as future breed<strong>in</strong>g animals can be way to improve<br />

fertility traits and calv<strong>in</strong>g type. The use of tested bulls which are simultaneously<br />

tested for milk traits, milk<strong>in</strong>g traits and body development traits as well as presence<br />

of congenital anomalies and defects will <strong>in</strong>fluence the reduction of frequency of<br />

undesirable genes <strong>in</strong> populations of Simmental cattle.<br />

In this study, 35 bulls were ranked based on the average values of traits <strong>in</strong><br />

the biological test.<br />

Bull rank<strong>in</strong>g is important for selection experts and breeders because the<br />

right selection of bull enables faster and more efficient reali<strong>za</strong>tion of the breed<strong>in</strong>g<br />

goal. The choice depends on the primary operation of the breeder, who by view<strong>in</strong>g<br />

the rank<strong>in</strong>g of bulls can easily select adequate bull. The right choice of bull is also<br />

imposed by the fact that <strong>in</strong> conditions of artificial <strong>in</strong>sem<strong>in</strong>ation bull have<br />

considerably higher <strong>in</strong>tensity of fertility than cows.<br />

Anaysis of obta<strong>in</strong>ed results and adequate distribution of semen of tested<br />

and positvely scored and evaluated bulls <strong>in</strong> the biological test can contribute to<br />

expression of positive results <strong>in</strong> improvement of fertility traits. Consider<strong>in</strong>g that<br />

bulls have statistically <strong>in</strong>fluenced traits observed <strong>in</strong> the biological test, with rught<br />

selection of future breed<strong>in</strong>g sires it is possible to improve fertility traits and<br />

suppress undesirable genes.


Results of the biological...<br />

In view of all stated <strong>in</strong> the present study, the research of the evaluation of<br />

the breed<strong>in</strong>g value of cattle should be cont<strong>in</strong>ued and also all known data associated<br />

with the <strong>in</strong>herent variability of fertilit traits should be <strong>in</strong>cluded, s<strong>in</strong>ce <strong>in</strong> this way<br />

the long term <strong>in</strong>crease of the effects of applied selection <strong>in</strong> studied cattle selection<br />

will be realized.<br />

Acknowledgment<br />

Research was f<strong>in</strong>anced by the M<strong>in</strong>istry of Education, Science and<br />

Technological Development of the Republic of Serbia, project TR31053.<br />

Rezultati biološkog testa bikova simentalske rase u<br />

Centralnoj Srbiji<br />

D. Nikšić, V. Pantelić, D. Ostojić-Andrić, P. Perišić, M. Petričević, R. Đedović, M.<br />

La<strong>za</strong>rević<br />

Rezime<br />

Izuzetno važan aspekt u govedarskoj proizvodnji, gledano sa proizvodnog i<br />

ekonomskog stanovišta je obezbeđivanje normalne i redovne plodnosti. Svaki<br />

odgajivač goveda želi da ima grla koja su visoko proizvodna i istovremeno<br />

poseduju dobru plodnost. Za pravilno odgajivanje goveda to znači da se od svake<br />

krave u toku god<strong>in</strong>e dobije po jedno zdravo tele. Upotreba veštačkog<br />

osemenjavanja omogućila je da jedan priplodnjak bude otac nekoliko deset<strong>in</strong>a<br />

hiljada potomaka. Međutim, uvek postoji rizik da su očevi nosioci letalnih i<br />

semiletalnih gena, što može prouzrokovati velike gubitke teladi. Da bi se ove<br />

nepoželjne pojave svele na najmanju moguću meru u odgajivački i selekcijski rad<br />

uključeno je ispitivanje bikova po potomstvu na teška teljenja i gubitke teladi<br />

i<strong>za</strong>zvane genetskim anomalijama, tzv. biološki test. Ovaj test se u Republici Srbiji<br />

vrši jed<strong>in</strong>stveno <strong>za</strong> čitavu populaciju simentalske rase, razmenom podataka između<br />

odgajivačkih organi<strong>za</strong>cija. Po svakom biku koji se testira, neophodno je imati<br />

podatke <strong>za</strong> najmanje 50 slučajno odabrane teladi. Vizualni pregled teladi se obavlja<br />

najkasnije do 65 dana, od datuma rođenja teleta. U ovom istraživanju korišćeni su<br />

rezultati biološkog testa 35 bikova simentalske rase koji su bili očevi ukupno 3572<br />

teladi na teritoriji centralne Srbije u periodu 2008. i 2009. god<strong>in</strong>e. U radu je<br />

ispitivan uticaj očeva na parametre biološkog testa: telesnu masu teladi po rođenju,<br />

ocenu teleta i ocenu toka teljenja. Takođe je izvršeno rangiranje bikova na ove<br />

parametre, kao i utvrđivanje odnosa muške i ženske teladi, procenat bližnjenja kao<br />

505


506<br />

D. Nikšić et al.<br />

i procenat mrtvorođene teladi <strong>za</strong> svakog bika posebno. Nakon utvrđenog ranga<br />

bikova izvršena je korelacija ranga ispitivanih osob<strong>in</strong>a plodnosti. Korelacije su<br />

iska<strong>za</strong>ne Spirmanovim koeficijentom. Rezultati istraživanja poka<strong>za</strong>li su da je uticaj<br />

bikova izuzetno visok p


Results of the biological...<br />

perspectives and Challenges of Susta<strong>in</strong>able Livestock production”Belgrade,<br />

Republic of Serbia, 5-7 th October 2011. <strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> vol<br />

27, 3, Book 2, p.975-984<br />

SKALICKI Z., LATINOVIĆ D., LAZAREVIĆ LJ., STOJIĆ P. (1991): Fenotipske<br />

karakteristike reproduktivnih osob<strong>in</strong>a crno-belih goveda sa različitom proporcijom<br />

gena holštajn-frizijske rase. Zbornik radova poljoprivrednog fakulteta, radovi sa<br />

VII naučnog skupa zootehničara Jugoslavije, 2, 33, Beograd.<br />

STATISTICA FOR WINDOWS VERSION 7. StatSoft.Inc (2004), Oxford, UK<br />

TRIFUNOVIĆ G., LAZAREVIĆ LJ., LATINOVIĆ D., STOJIĆ P.,<br />

STEVANOVIĆ LJ. (1998): Anali<strong>za</strong> mlečnosti i plodnosti krava tokom prve tri<br />

laktacije gajenih slobodnim sistemom držanja. Savremena poljoprivreda br. 1-2,<br />

str.49-54. Novi Sad.<br />

TRIVUNOVIĆ S., IVANOVIĆ D., KUČEVIĆ D., PANTELIĆ V., KORORA J.,<br />

RADINOVIĆ M. (2011): Genetski parametri <strong>za</strong> pojavu teških teljenja i broj<br />

mrtvorođene teladi u populaciji krava holštajn frizijske rase vojvod<strong>in</strong>e,<br />

<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, Vol 27 , Beograd<br />

Received 11 May 2012; accepted for publication 10 August 2012<br />

507


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 509-516 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.2<br />

DOI: 10.2298/BAH1203509G<br />

STUDY OF ANIMAL WELFARE STATUS IN DAIRY<br />

COW HERDS IN HUNGARY<br />

R.T. Gudaj 1 , E. Brydl 2 , J. Lehoczky 2 , I. Komlósi 1<br />

1Centre for Agricultural and Applied Economics Science; Faculty of Agricultural and Food Sciences<br />

and Environmental Management; University of Debrecen, 138 Böszörményi street; 4032 Debrecen;<br />

Hungary<br />

2 Department of <strong>Animal</strong> Hygiene, Herd Health and Veter<strong>in</strong>ary Ethology, Szent István University<br />

Faculty of Veter<strong>in</strong>ary Science, H-1078 Budapest; István u. 2; Hungary<br />

*Correspond<strong>in</strong>g author: rgudaj@agr.unideb.hu<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract:<strong>Animal</strong> welfare is a hot topic among consumers, producers and<br />

researches nowadays. The major welfare problems of dairy cows are mastitis,<br />

lameness, and any conditions which lead to impaired reproduction, <strong>in</strong>ability to<br />

express normal behaviour, emergency physiological responses or <strong>in</strong>jury. This paper<br />

summarizes prelim<strong>in</strong>ary results of project taken <strong>in</strong> 27 Hungarian dairy farms<br />

evaluat<strong>in</strong>g general animal welfare. The most important areas for improv<strong>in</strong>g<br />

animals’ wellbe<strong>in</strong>g are related to facilities and comfort of rest<strong>in</strong>g. F<strong>in</strong>d<strong>in</strong>gs <strong>in</strong>clude<br />

slippery floors, cows struggl<strong>in</strong>g lay<strong>in</strong>g and stand<strong>in</strong>g <strong>in</strong> cubicles. Other measures<br />

<strong>in</strong>clude hair loss, hocks, neck rail <strong>in</strong>juries and number of th<strong>in</strong> cows (Body<br />

Condition Score 1 and 2). Mouldy silage and low quality of other feedstuff was<br />

also found. In conclusion, prelim<strong>in</strong>ary results confirm strong demand for<br />

monitor<strong>in</strong>g farms and discussions with managers and farmers about welfare<br />

measures needed to be taken on farms immediately.<br />

Key words: dairy welfare, dairy welfare assessment protocol, welfare<br />

standard, multivariable modell<strong>in</strong>g, herd health<br />

Introduction<br />

Accord<strong>in</strong>g to von Keyserl<strong>in</strong>gk et al. (2009), there are 3 major concerns related to<br />

animal welfare: if the animal is function<strong>in</strong>g well, feel<strong>in</strong>g well, and if the animal is<br />

able to live accord<strong>in</strong>g to its nature. These arguments are not new, because<br />

producers have always been (at least they should be) concerned about the<br />

conditions of animals <strong>in</strong> their care. So far, animal welfare was understood as a lack<br />

of hunger, thirst, <strong>in</strong>juries and illness. Recently, welfare aspects are also focus<strong>in</strong>g on<br />

discomfort, distress, fear, pa<strong>in</strong> and normal behaviour, as a result of keep<strong>in</strong>g animals<br />

<strong>in</strong> usually non animal-friendly environments (Stull, et al., 2005).


510<br />

R.T. Gudaj et al.<br />

Companies deal<strong>in</strong>g with dairy products are <strong>in</strong>terested <strong>in</strong> welfare of animals to give<br />

consumers demanded clear and trustworthy <strong>in</strong>formation. The attempt was already<br />

taken for establish<strong>in</strong>g an European standard for welfare assessment systems <strong>in</strong><br />

order to facilitate <strong>in</strong>tra-European trade and market<strong>in</strong>g created by Welfare Quality<br />

Project (Veissier and Evans, 2010). There are claims that welfare of farm animals<br />

has a huge impact on market demands and there is still need for develop<strong>in</strong>g<br />

science-based on-farm systems to assess the animal welfare status (Matthews and<br />

Wassmann, 2003). Over the last three decades the number of publications about<br />

animal welfare and animal wellbe<strong>in</strong>g has <strong>in</strong>creased significantly. Such an output<br />

reflects the economic demand for that <strong>in</strong>formation globally.<br />

There are many aspects which lead the science and the experience to the<br />

conclusions that welfare of dairy cows might be compromised (Ostojić-Andrić et<br />

al., 2011; Hristov et al., 2011a; Hristov et al., 2011b). The fact that cows are<br />

housed is already limit<strong>in</strong>g factor for their natural needs which they can express on<br />

the pasture. Facilities created by humans are not always suitable for cows. Cows<br />

are given sometimes not enough resources they demand to produce as much milk<br />

as their potential allows. High standards of animal welfare have been and will<br />

cont<strong>in</strong>ue to be important to the dairy <strong>in</strong>dustry. It is already proven that for lactat<strong>in</strong>g<br />

cows the reduction <strong>in</strong> milk yield is associated with various diseases (EFSA, 2009;<br />

Kossaibat and Esslemont, 1997; Trevisi et al., 2006). Immune system activation<br />

requires metabolic energy when cow is ill. That state results <strong>in</strong> reduced feed <strong>in</strong>take.<br />

Resources may be limited and may be diverted <strong>in</strong>to immune function rather than<br />

milk production, growth, or reproduction.<br />

Cattle are exposed to dirt, because of mud and faeces <strong>in</strong> the environment they are<br />

kept. Phillips and Morris (2002) reported that animals, particularly when<br />

<strong>in</strong>troduced, are avoid<strong>in</strong>g those areas if possible. Those conditions could be<br />

considered as compromis<strong>in</strong>g animal welfare. Schukken et al. (1990) concluded that<br />

hygiene of husbandry system is related to mastitis and digital dermatitis (Hristov et<br />

al., 2011c). There is also relation between cleanl<strong>in</strong>ess and gastro<strong>in</strong>test<strong>in</strong>al problems<br />

(Rodriguez-La<strong>in</strong>z et al., 1996). The presence of mud and dirt my be irritant and<br />

caus<strong>in</strong>g discomfort. The cleanl<strong>in</strong>ess of animals demonstrates quality of<br />

environment and can be useful <strong>in</strong>dicator of farm animals’ welfare.<br />

Materials and methods<br />

The study was performed on 27 Holste<strong>in</strong>-Friesian dairy farms <strong>in</strong> Hungary. The<br />

selection was firstly created on a pr<strong>in</strong>ciple of search<strong>in</strong>g for as different farms as<br />

possible. Chosen farms were farms different <strong>in</strong>: ownership (private and


Study of animal welfare status ...<br />

cooperative), size (from 56 to 850 dairy cows), husbandry systems (free stall, straw<br />

yard), access to the pasture (yes, no), scrap<strong>in</strong>g system (automatic, tractor), age of<br />

build<strong>in</strong>gs (modern, old ones), number of animals per water troughs (12-120),<br />

surface quality (1 – relatively dry, no holes and not slippery; 2 – wet or some holes<br />

or slippery; 3 – wet, some holes and slippery). Data collection was created<br />

accord<strong>in</strong>g to already existed assessments (Whay, et al., 2003). The project,<br />

however, needed the protocol to be established aga<strong>in</strong>, as <strong>in</strong> Hungarian conditions<br />

some of the po<strong>in</strong>ts of the protocol would simply not work (for example – access to<br />

the pasture – which is not so popular). Protocol covered animal health, behaviour,<br />

hygiene and feedstuff condition of all animals on the farm. Additionally, general<br />

production data, facilities, lameness treatment and stockman attitude is measured<br />

for dairy cows. F<strong>in</strong>ally, the follow<strong>in</strong>g characteristics were chosen: dirty flanks,<br />

udder, h<strong>in</strong>d limbs with size of dirt splash or plaque more than the size of the palm<br />

of a hand. An average flight distance was measured by approach<strong>in</strong>g the animal at a<br />

speed of one step per second and a step length of approximately 60 cm with the<br />

arm held overhand at an angle of approximately 45º from the body. Dull and<br />

obviously sick cows, hollow rumen, bloated rumen, fat animals, hair loss, non-hock<br />

<strong>in</strong>juries, hocks <strong>in</strong>juries, th<strong>in</strong> animals, neck rail <strong>in</strong>juries were noted if any of signs<br />

were easily visible. Ris<strong>in</strong>g was characterised as either unrestricted (1), mildly<br />

restricted (2) when they modified their ris<strong>in</strong>g behaviour to stand up comfortably,<br />

seriously restricted (3) when they took time to stand up and often hit fitt<strong>in</strong>gs when<br />

ris<strong>in</strong>g and when they rose on to their forelimbs before their h<strong>in</strong>d limbs (dog<br />

sitt<strong>in</strong>g). Dur<strong>in</strong>g the visits cows were assessed regard<strong>in</strong>g their locomotion score and<br />

body condition score. Five-po<strong>in</strong>t scale locomotion score of dairy cattle was used.<br />

The system developed by Sprecher et al. (1997) has understandable objective<br />

descriptions of posture and gait for scor<strong>in</strong>g. This also <strong>in</strong>cludes subdivisions<br />

between sound and cl<strong>in</strong>ically lame cows. Cows were provided relatively dry, free<br />

of obstacles, concrete surface. Cows which were found <strong>in</strong> the cubicles were given<br />

few m<strong>in</strong>utes to recover after stand<strong>in</strong>g up, so impact of muscle crump would not<br />

affect cows’ locomotion. For evaluat<strong>in</strong>g body condition score 5-po<strong>in</strong>t scale<br />

condition score of dairy cattle published <strong>in</strong> (Rodenburg, 2000) was used. For<br />

measur<strong>in</strong>g <strong>in</strong>tra-observer variation notes were made at the beg<strong>in</strong>n<strong>in</strong>g of the<br />

observation. Cows walk<strong>in</strong>g were assessed and results were recorded. Half of the<br />

cows were observed for the second time at the end of each visit and results were<br />

compared with the first observation. Number of cows observed twice ranged from<br />

5 (dur<strong>in</strong>g the first visit) up to 60 (dur<strong>in</strong>g the last visit, if no cow left the farm). In<br />

average 83% repeatability of locomotion scores and 91% reputability <strong>in</strong> body<br />

condition scores were estimated. Full animal welfare assessment with check<strong>in</strong>g<br />

every dairy cows’ locomotion took around 6-7 hours for 500-600 heads herd.<br />

511


512<br />

Results and Discussion<br />

R.T. Gudaj et al.<br />

Summary prelim<strong>in</strong>ary results of the general animal welfare measures taken are<br />

shown <strong>in</strong> Table 1. These f<strong>in</strong>d<strong>in</strong>gs are similar to those of Grand<strong>in</strong> (2010). On the<br />

other hand, this research will be significantly different to others. This research<br />

showed that <strong>in</strong> older animals more welfare problems occur. In the study 27,6% of<br />

older calves were found with dirty flanks, what emphasises the lack of proper<br />

bedd<strong>in</strong>g. Dull and obviously sick and hollow rumen of dry cows (3.9% and 9.7%,<br />

respectively) is just slightly different from those of milk<strong>in</strong>g cows. That means<br />

milk<strong>in</strong>g cows are <strong>in</strong> such a poor condition or dry cows are <strong>in</strong> such a good state.<br />

Heifers, what is natural, are more active and less trustful to humans what expla<strong>in</strong>s<br />

why flight zone of these animals is the biggest. On the other hand there is a doubt if<br />

heifers are <strong>in</strong> a good state before calv<strong>in</strong>g, because 8.7% of them had bloated<br />

rumen, 22.5% of them were with Body Condition Score 4 and 5 and 37.8% had<br />

dirty udders. Milk<strong>in</strong>g cows were found with most of the measures compromis<strong>in</strong>g<br />

animal welfare. Ris<strong>in</strong>g, both <strong>in</strong> straw yards and <strong>in</strong> free stalls gave an average of 1.8<br />

(where 1- unrestricted; 2- mildly restricted; 3- seriously restricted). This illustrates<br />

that cubicles were not suitable for cows and straw yards which were poorly bedded.<br />

The next three conditions – hair loss, non-hock <strong>in</strong>juries and hocks lesions (16.7%,<br />

20.9% and 22.3%, respectively) were also found only <strong>in</strong> milk<strong>in</strong>g cows and reflect<br />

poor cubicles’ design. Similar results were found by Potterton et al. (2011),<br />

however, <strong>in</strong> that study moderate (25.6%) and severe (14.5%) hair loss was<br />

measured. The same authors found only 6.7% cows with moderate hocks and only<br />

2.5% with severe hocks lesions. Those results correspond with Lombard et al.<br />

(2010) who estimated only 4.1% of cows <strong>in</strong> average with hocks lesions. However,<br />

study of Rutherford et al. (2008) highlighted 49.1% of hock lesions. In the current<br />

study 25.7% of cows were found with Body Condition Score 1+2 might manifest<br />

some energy imbalances. 41.8% of cows with dirty h<strong>in</strong>d limbs are as an effect of<br />

ly<strong>in</strong>g <strong>in</strong> dirty areas which <strong>in</strong> fact were probably the only locations <strong>in</strong> a straw yard<br />

the cows were able to take place. In free stall barns that high percentage of dirty<br />

cows might be result of f<strong>in</strong>d<strong>in</strong>g muck and manure <strong>in</strong> the alleys more comfortable<br />

than boxes. Unlikely to this study, Lombard et al. (2010) evaluated only 8.8% of<br />

cows be<strong>in</strong>g highly soiled. Lameness is l<strong>in</strong>ked to multivariable conditions rang<strong>in</strong>g<br />

from 5.7% to 50.9% with an average of 27.9%. Occurrence of lameness was found<br />

to be similar to f<strong>in</strong>d<strong>in</strong>gs of Haskell et al. (2006), Huxley et al. (2004), and<br />

Rutherford et al. (2009) with 19.3%, 24%, and 39% of cows found cl<strong>in</strong>ically lame<br />

respectively. Neck rail <strong>in</strong>juries found <strong>in</strong> 61.7% of milk<strong>in</strong>g cows are related to<br />

wrong positioned feed rail and/or feed<strong>in</strong>g trough.


Study of animal welfare status ...<br />

Table 1. Summary of the general animal welfare measures taken<br />

Welfare measure<br />

Younger<br />

calves (0-70<br />

days)<br />

Older calves<br />

(70+ days)<br />

Dry cows Heifers<br />

513<br />

Milk<strong>in</strong>g<br />

cows<br />

Dirty flanks (%) 11.6 27.6 18.3 22.6 26.6<br />

Dull/obviously sick (%) 3.2 2.7 3.9 3.0 3.7<br />

Hollow rumen (%) 5.6 5.4 9.7 6.2 9.2<br />

Average flight distance (m) 0.7 0.8 0.9 1.0 0.8<br />

Bloated rumen (%) 2.0 4.7 6.5 8.7 3.7<br />

Fat animals (BCS 4+5) (%) 4.9 4.8 16.0 22.5 16.1<br />

Dirty Udder (Underneath) (%) 9.0 30.5 28.8 37.8 25.5<br />

Ris<strong>in</strong>g (1/2/3) 1.1 1.4 1.6 1.7 1.8<br />

Hair loss (%) 1.3 1.8 9.5 5.4 16.7<br />

Nonhock <strong>in</strong>juries (%) 0.9 1.1 8.6 4.7 20.9<br />

Hocks lesions (%) 0.9 5.3 17.0 7.8 22.3<br />

Th<strong>in</strong> animals (BCS 1+2) (%) 12.0 5.6 15.1 6.6 25.7<br />

Lameness (%) 0.4 2.5 21.6 6.7 27.9<br />

Dirty h<strong>in</strong>dlimbs (%) 8.8 34.8 28.5 39.7 41.8<br />

Neck rail <strong>in</strong>juries (%) 1.1 43.9 61.1 39.6 61.7<br />

Conclusion<br />

There is an immediate need to po<strong>in</strong>t out farmers the most important welfare<br />

problems on the farms. The po<strong>in</strong>ts highlighted <strong>in</strong> the prelim<strong>in</strong>ary results confirm<br />

lay<strong>in</strong>g and rest<strong>in</strong>g conditions are compromised. Comfort is very important <strong>in</strong> cows’<br />

daily rout<strong>in</strong>e, because the animals need a time for relax<strong>in</strong>g, but that is highly<br />

limited. Hungarian dairy enterprises (particularly those <strong>in</strong> project) lack <strong>in</strong> good<br />

quality, modern barns. Most of them are refurbished old build<strong>in</strong>gs which, <strong>in</strong> many<br />

cases, even some changes were applied, still cannot meet cows’ needs. There is an<br />

<strong>in</strong>creas<strong>in</strong>g <strong>in</strong>terest of farm managers and farmers about dairy welfare. Dur<strong>in</strong>g visits<br />

on farms, when each protocol was <strong>in</strong> progress or was f<strong>in</strong>ished, there has been a<br />

short time for discussion with famers. Cows’ and farms’ conditions become easier<br />

to imag<strong>in</strong>e and understand when they are compared with other farms by show<strong>in</strong>g<br />

pictures and exact numbers (Grand<strong>in</strong>, 2010). This method of compar<strong>in</strong>g welfare on<br />

farms is useful <strong>in</strong> expla<strong>in</strong><strong>in</strong>g, for example, neck rail <strong>in</strong>juries. Although, most of the<br />

managers see the problem and they f<strong>in</strong>d wrong feeder or rail height, most of them


514<br />

R.T. Gudaj et al.<br />

blame cows that they are push<strong>in</strong>g the bar too hard to reach the food. As a counterargument<br />

the protocol confirms that positions of the bar and the feeder where only<br />

3-9% of cows are found as a cause of <strong>in</strong>juries on necks. The same positive<br />

perception is achieved when pictures or examples of compromised welfare are<br />

shown directly to the person. Welfare was checked before suggestions were given<br />

and other <strong>in</strong>dependent improvements were made. Next step will be to check the<br />

cows after a period of time, if changes helped to <strong>in</strong>crease welfare standards or not.<br />

Studija o statusu dobrobiti život<strong>in</strong>ja u <strong>za</strong>patima mlečnih<br />

krava u Mađarskoj<br />

R.T. Gudaj, E. Brydl, J. Lehoczky, I. Komlósi<br />

Rezime<br />

Dobrobit život<strong>in</strong>ja je aktielna tema među potrošačima, proizvođačima i<br />

istraživačima. Glavni problemi i pitanja u okviru dobrobiti život<strong>in</strong>ja su mastitis,<br />

hromost, kao i svi drugi uslovi koji dovode do poremećaja u reprodukciji,<br />

nemogućnosti da život<strong>in</strong>je izraze svoje normalno ponašanje, i vanredne fiziološke<br />

reakcije ili povrede. U ovom radu se daje prikaz prelim<strong>in</strong>arnih rezultata projekta sa<br />

27 farmi mlečnih goveda u Mađarskoj u oceni opšte dobrobiti život<strong>in</strong>ja.<br />

Najznačajniije oblasti <strong>za</strong> poboljšanje dobrobiti život<strong>in</strong>ja se odnose na objekte i<br />

udobnost život<strong>in</strong>ja, komfor i mogućnost odmora. Nalazi istraživanja ukazuju na<br />

kli<strong>za</strong>ve podove, krave koje sa poteškoćama leže odnosno stoje u boksovima,<br />

gubitak dlake, povrede, kao i brojna neuhranjena grla (ocena kondicije 1 i 2).<br />

Plesniva silaža i loš kvalitet stočne hrane su takođe utvrđeni. Kao <strong>za</strong>ključak,<br />

prelim<strong>in</strong>arni rezultati potvrđuju snažnu potrebu <strong>za</strong> monitor<strong>in</strong>gom farmi, kao i<br />

razgovorima sa upravnicima farmi o neophodnim merama koje se odnose na<br />

dobrobit život<strong>in</strong>ja koje moraju biti preduzete odmah.<br />

References<br />

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welfare. European Food Safety Authority, Parma, Italy, 12-16.<br />

GRANDIN T. (2010): Improv<strong>in</strong>g <strong>Animal</strong> Welfare: A Practical Approach,<br />

Cambridge: Cambridge Press, 54-56.<br />

HASKELL M.J., RENNIE L.J., BOWELL V.A., BELL M.J. AND LAWRENCE<br />

A.B. (2006): Hous<strong>in</strong>g system, milk production, and zero-graz<strong>in</strong>g effects on<br />

lameness and leg <strong>in</strong>jury <strong>in</strong> dairy cows. Journal of Dairy Science, 89, 4259–4266.


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DAVIDOVIĆ V., JOKSIMOVIĆ TODOROVIĆ M., PLAVŠIĆ B. AND<br />

DOKMANOVIĆ M. (2011b): Procena dobrobiti krava u slobodnom sistemu<br />

držanja [Dairy cows welfare assesment <strong>in</strong> loose stalls]. Veter<strong>in</strong>arski glasnik, 65,<br />

399-408.<br />

HRISTOV S., STANKOVIĆ B., ZLATANOVIĆ Z. AND PLAVŠIĆ B. (2011c):<br />

The most significant predispos<strong>in</strong>g factors and causes of lameness of dairy cows.<br />

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HUXLEY J.N, BURKE J., RODERICK S., MAIN D.C.J. AND WHAY H.R.<br />

(2004): <strong>Animal</strong> welfare assessment benchmark<strong>in</strong>g as a tool for health and welfare<br />

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LOMBARD J.E., TUCKER C.B., VON KEYSERLINGK M.A.G., KOPRAL C.A.<br />

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and free stall usage on US dairy farms. Journal of Dairy Science, 93, 4668–4676.<br />

MATTHEWS R. AND WASSMANN R. (2003): Modell<strong>in</strong>g the impacts of climate<br />

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Journal of Agronomy, 19, 573-598.<br />

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PETROVIĆ M.M., ZLATANOVIĆ Z. AND NIKŠIĆ D. (2011): Dairy Cows<br />

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“New perspectives and Challenges of Susta<strong>in</strong>able Livestock production” Belgrade,<br />

Republic of Serbia, 5-7th October 2011, <strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, 27,<br />

975-984.<br />

PHILLIPS C.J.C. AND MORRIS I.D. (2002): The ability of cattle to dist<strong>in</strong>guish<br />

between, and their preference for, floors with different levels of friction, and their<br />

avoidance of floors contam<strong>in</strong>ated with excreta. <strong>Animal</strong> Welfare, 11, 1: 21-29.<br />

POTTERTON S.L., GREEN M.J., HARRIS J., MILLAR K.M., WHAY H.R.<br />

AND HUXLEY J.N. (2011): Risk factors associated with hair loss, ulceration, and<br />

swell<strong>in</strong>g at the hock <strong>in</strong> freestall-housed UK dairy herds. Journal of Dairy Science,<br />

94, 2952–2963.<br />

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92-99.<br />

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(1996): Case-control study of papillomatous digital dermatitis <strong>in</strong> Southern<br />

California dairy farms. Preventive Veter<strong>in</strong>ary Medic<strong>in</strong>e, 28, 117-131.<br />

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LAWRENCE A.B. AND HASKELL M.J. (2009): Lameness prevalence and risk<br />

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somatic cell count. 1. Data and risk factors for all cases. Journal of Dairy Science,<br />

73, 3463-71.<br />

SPRECHER D.J., HOSTETLER D.E. AND KANEENE J.B. (1997): A lameness<br />

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TREVISI E., BIONAZ M., PICCIOLI-CAPPELLI F. AND BERTONI G. (2006):<br />

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milk yield. Livestock Science, 103, 231-236<br />

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Received 14 December 2011; accepted for publication 12 March 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 517-528, 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.08’3<br />

DOI: 10.2298/BAH1203517P<br />

SOME IMPORTANT FACTORS AFFECTING FERTILITY<br />

IN SHEEP<br />

M.P.Petrovic 1 ,V. Caro Petrovic 1 , D. Ruzic Muslic 1 , N. Maksimovic 1 , Z.<br />

Ilic 2 , B. Milosevic 2 , J.Stojkovic 2<br />

1 <strong>Institut</strong>e For <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade, Serbia<br />

2 University of Prist<strong>in</strong>a, Faculty of Agriculture, Kopaonicka bb, 38219 Lesak, Serbia<br />

Correspond<strong>in</strong>g author: milanppet@yahoo.com<br />

Review paper<br />

Abstract: Efficiency of sheep production is conditioned by fertility.<br />

Accord<strong>in</strong>g to some authors number of offspr<strong>in</strong>g obta<strong>in</strong>ed per lamb<strong>in</strong>g is more<br />

important than ga<strong>in</strong> of weight. Genetic relationships <strong>in</strong>volv<strong>in</strong>g reproductive traits<br />

were seldom studied. Reproductive traits have low heritabilities, a discrete<br />

phenotypic expression, and are expressed only <strong>in</strong> sexually mature ewes lead<strong>in</strong>g to<br />

low selection <strong>in</strong>tensities and long generation <strong>in</strong>tervals. Documentation of realized<br />

selection response is also often complicated by the low heritabilities of fertility<br />

traits. Existence of a major gene affect<strong>in</strong>g prolificacy had been suggested and at<br />

that time there were many sceptics who strongly doubted that a trait as complex as<br />

reproduction could be profoundly <strong>in</strong>fluenced by a s<strong>in</strong>gle gene. Major genes<br />

affect<strong>in</strong>g prolificacy <strong>in</strong> sheep was founded. A mutation <strong>in</strong> the bone morphogenetic<br />

prote<strong>in</strong> 15 gene (BMP15, also known as GDF9B) responsible for high prolificacy<br />

<strong>in</strong> Inverdale sheep had been discovered and evidence of segregat<strong>in</strong>g major genes<br />

was be<strong>in</strong>g reported from flocks around the world. Development of gene mapp<strong>in</strong>g<br />

techniques, and locat<strong>in</strong>g alleles that are responsible for the fertility of sheep began<br />

a new chapter <strong>in</strong> predict<strong>in</strong>g and controll<strong>in</strong>g the fertility of sheep. The beneficial<br />

effects of nutrition on reproduction <strong>in</strong> sheep are well known. This procedure is<br />

known as flush<strong>in</strong>g. The effect of Body Condition Score (BCS), before mat<strong>in</strong>g,<br />

dur<strong>in</strong>g mat<strong>in</strong>g and after mat<strong>in</strong>g period, on reproductive efficiency of different<br />

breeds of sheep <strong>in</strong> the different rear<strong>in</strong>g systems were studied. The farm manager<br />

has the ability to control or at least to manipulate the factors that have an impact on<br />

fertility.<br />

Keywords: sheep, fertility, genetics, nutrition, management<br />

Introduction<br />

Fertility is one of the most important parameters of sheep productivity, the<br />

number of offspr<strong>in</strong>g obta<strong>in</strong>ed per lamb<strong>in</strong>g is a good <strong>in</strong>dicator, and accord<strong>in</strong>g to


518<br />

M.P.Petrovic et al.<br />

some authors (Petrović, 2000) it is more important than ga<strong>in</strong> of lambs. This means<br />

that biological efficiency of sheep <strong>in</strong> regard to meat, milk and wool production is<br />

conditioned by fertility ( Notter et al., 2000). Low fertility is a cont<strong>in</strong>u<strong>in</strong>g problem<br />

<strong>in</strong> Australian flocks (Scaramuzzi and L<strong>in</strong>dsay 1986).<br />

Success <strong>in</strong> selection of sheep <strong>in</strong> regard to their fertility greatly depends on<br />

genetic variability of reproductive components (Petrović et al., 1997, 2001, 2002,<br />

2007). Heritability for onset of puberty is low and with<strong>in</strong> the <strong>in</strong>terval of 0,1 to 0,26<br />

(Petrović, 2000). Range or norm of ovulation <strong>in</strong> sheep is still great challenge for<br />

the science, regardless of the fact that it is generally known that it is under control<br />

of larger number of genes, i.e. its poligeneous character. Activities directed to gene<br />

identification responsible for this trait are <strong>in</strong> progress (Galloway et al., 2000, Davis<br />

et al., 2001, Grant et al., 2001, Wilson et al., 2001).<br />

For traits of sheep fertility, of great importance is also embryonic<br />

mortality, which is especially present dur<strong>in</strong>g first four weeks of pregnancy, when<br />

20 - 30% of fertilized egg cells can be lost, and which is <strong>in</strong> negative correlation<br />

with ovulation rate (Perez et al., 1994).<br />

Feed<strong>in</strong>g of sheep is also one of the most important factors that <strong>in</strong>fluence<br />

the fertility of sheep. There are many controversies about it, how best to prepare a<br />

sheep for mat<strong>in</strong>g. Flush<strong>in</strong>g is understood as the rapid <strong>in</strong>crease <strong>in</strong> ovulation rate of<br />

ewes receiv<strong>in</strong>g a nutrient supplementation before mat<strong>in</strong>g. Branca, et al., 2000.<br />

Lassoued et al. (2004), showed important <strong>in</strong>teractions between genotype and level<br />

of nutrition. In this sense, <strong>in</strong> highly prolific ewes like D’Man breed, higher levels<br />

of nutrition prior to and dur<strong>in</strong>g mat<strong>in</strong>g were associated with improved reproductive<br />

performance, but <strong>in</strong> low prolific breeds such as Queue F<strong>in</strong>e de l'Ouest, neither<br />

ovulation rate nor lamb<strong>in</strong>g rate were affected by the dietary treatment. In a recent<br />

work by Fukui et al. (2010) body weight did not significantly affect fertility.<br />

Oestrus <strong>in</strong> the majority of sheep has a seasonal character, which means that<br />

the sheep exhibit sexual glow dur<strong>in</strong>g the summer from Jun to September. It is<br />

l<strong>in</strong>ked to many as genetic and external factors (Petrović, 2000). Very often it is<br />

associated with climatic and seasonal conditions over which the producer has little<br />

control. On the other hand there are numerous production factors which <strong>in</strong>fluence<br />

fertility and which are amenable to management.<br />

In this paper we would like to touch about the follow<strong>in</strong>g factors that may<br />

affect the fertility of sheep:<br />

• Genetics<br />

• Nutrition<br />

• Management<br />

Genetics and fertility<br />

Number of offspr<strong>in</strong>g and growth of lamb, <strong>in</strong>dicated by body weights and<br />

rate of ga<strong>in</strong> at different phases of growth are among the most economically


Some important factors affect<strong>in</strong>g ...<br />

important and easily-measured traits. Knowledge on the particular trait and phase<br />

of the animal’s growth upon which to base selection is therefore of utmost<br />

importance. Genetics/heredity affects the fertility of farm animals <strong>in</strong> a variety of<br />

ways. Some animals may be genetically <strong>in</strong>fertile. Genetic differences do exist<br />

between different breed and types of sheep. Romanov sheep commonly have<br />

lamb<strong>in</strong>g percentages of 250 while Pramenka tend to have lamb<strong>in</strong>g percentages of<br />

close to 110. Genetic mutations can occur which can produce <strong>in</strong>fertility. They can<br />

also give rise to abnormal development <strong>in</strong> embryos so much so that the young fail<br />

to develop properly and cause fetal death or atrophy. These are called lethal<br />

factors.<br />

Genetic relationships <strong>in</strong>volv<strong>in</strong>g reproductive traits were seldom studied.<br />

Reproductive traits have low heritabilities, a discrete phenotypic expression, and<br />

are expressed only <strong>in</strong> sexually mature ewes lead<strong>in</strong>g to low selection <strong>in</strong>tensities and<br />

long generation <strong>in</strong>tervals. Documentation of realized selection response is also<br />

often complicated by the low heritabilities of fertility traits. Based on the research<br />

of Al-Shorepy and Notter (1997), selection for fertility <strong>in</strong> an annual fall lamb<strong>in</strong>g<br />

system resulted <strong>in</strong> <strong>in</strong>creases <strong>in</strong> estimated breed<strong>in</strong>g value (EBV) for fertility and <strong>in</strong><br />

correlated <strong>in</strong>creases <strong>in</strong> fall litter size. Pedigree estimates of EBV for fertility were<br />

positively associated with future performance, and fertility EBV was significantly<br />

associated with future fertility. These results suggest that performance <strong>in</strong> fall<br />

lamb<strong>in</strong>g can be improved by selection.<br />

Piper and B<strong>in</strong>don (1980) reported the possibility that fecundity of the<br />

Booroola Mer<strong>in</strong>o as result from the action of a s<strong>in</strong>gle major gene or closely l<strong>in</strong>ked<br />

group of genes affect<strong>in</strong>g ovulation rate. This was the first time that the existence of<br />

a major gene affect<strong>in</strong>g prolificacy had been suggested and at that time there were<br />

many sceptics who strongly doubted that a trait as complex as reproduction could<br />

be profoundly <strong>in</strong>fluenced by a s<strong>in</strong>gle gene. Two decades later, some groups of<br />

researchers (Mulsant et al., 2001., Sou<strong>za</strong> et al., 2001., Wilson et al., 2001),<br />

simultaneously discovered that the <strong>in</strong>heritance of prolificacy observed <strong>in</strong> the<br />

Booroola Mer<strong>in</strong>os was the result of a mutation <strong>in</strong> the bone morphogenetic prote<strong>in</strong><br />

1B receptor (BMPR- 1B). Meanwhile the notion of major genes affect<strong>in</strong>g<br />

prolificacy <strong>in</strong> sheep was no longer regarded as genetic heresy. A mutation <strong>in</strong> the<br />

bone morphogenetic prote<strong>in</strong> 15 gene (BMP15, also known as GDF9B) responsible<br />

for high prolificacy <strong>in</strong> Inverdale sheep had been discovered by Galloway et al. [16]<br />

and evidence of segregat<strong>in</strong>g major genes was be<strong>in</strong>g reported from flocks around<br />

the world.<br />

The development of molecular genetics and gene mapp<strong>in</strong>g techniques he<br />

began <strong>in</strong> a period of locat<strong>in</strong>g themselves alleles that are responsible for the fertility<br />

of sheep (Table 1). Thus began a new chapter <strong>in</strong> predict<strong>in</strong>g and controll<strong>in</strong>g the<br />

fertility of sheep.<br />

519


520<br />

M.P.Petrovic et al.<br />

Table 1. Some known and putative major genes for prolificacy <strong>in</strong> sheep (Davis, 2004)<br />

Gene Name Allele Chr Breed<br />

BMPR-1B Booroola FecBB 6 Mer<strong>in</strong>o<br />

BMP15 Inverdale FecXI X Romney<br />

BMP15 Hanna FecXH X Romney<br />

BMP15 Belclare FecXB X Belclare<br />

BMP15 Galway FecXG X Belclare and Cambridge<br />

- Woodlands FecX2W X Coopworth<br />

- Lacaune FecLL 11 Lacaune<br />

Selection for <strong>in</strong>creased fertility of sheep causes more egg cells to be shed<br />

per ovulation and if a ewe normally ovulates a large number of egg cells the<br />

chances will be good that, when conditions are unfavorable. Sheep will then have a<br />

chance to at least one cell can be fertilized and thus resulted <strong>in</strong> offspr<strong>in</strong>g. Use of<br />

physiological quantitative parameters <strong>in</strong> sheep improvement <strong>in</strong> <strong>in</strong>crease of fertility<br />

is one of the procedures which can lead to success <strong>in</strong> sheep selection on fertility<br />

(Petrovic et al., 2007).<br />

Favorable environmental conditions like good feed<strong>in</strong>g and management<br />

have the same <strong>in</strong>fluence, as selection, and the results atta<strong>in</strong>ed <strong>in</strong> this manner are<br />

faster and more spectacular. See<strong>in</strong>g that more multiple births occur under favorable<br />

conditions it is a very good method to identify ewes and rams which have genetic<br />

potential for fertility.<br />

Nutrition and fertility<br />

The beneficial effects of nutrition on reproduction <strong>in</strong> sheep are well known<br />

(Forcada and Abecia, 2006). In particular, nutrition is one of the ma<strong>in</strong> factors<br />

affect<strong>in</strong>g ovulation rate. Generally sheep will be at grass for half of the year,<br />

however dur<strong>in</strong>g w<strong>in</strong>ter or at lamb<strong>in</strong>g they may be housed or given extra feed at<br />

grass. It is important to get the nutrition right to prevent loss of body condition or<br />

problems at lamb<strong>in</strong>g. Poor nutrition may cause irregular cycles <strong>in</strong> females, reduced<br />

ovulation, weak offspr<strong>in</strong>g, and pregnancy toxemia or reduced tw<strong>in</strong>n<strong>in</strong>g. In males<br />

poor nutrition may reduce sperm quantity and quality. Abadjieva et al.,(2011)<br />

<strong>in</strong>formed that the fertility is determ<strong>in</strong>ed by a multi-hormonal effect, <strong>in</strong>cluded not<br />

only sex and gonadotropic hormones, but also "metabolic" hormones. A functional<br />

defect <strong>in</strong> any of the components of this hormonal complex directly affects<br />

reproduction. They also add that new scientific data confirms the strictly<br />

dependence of reproduction on energy sources and metabolic state and shows their<br />

signal<strong>in</strong>g ways. The both have a big importance for good fertility.<br />

The amount of food given to ewes immediately before fertili<strong>za</strong>tion is also<br />

of considerable importance. Experiments have shown that, if at that stage, given to


Some important factors affect<strong>in</strong>g ...<br />

ewe a generous plane of nutrition she is likely to shed more eggs than normal. This<br />

results <strong>in</strong> a higher lamb<strong>in</strong>g percentage by <strong>in</strong>creas<strong>in</strong>g the number of tw<strong>in</strong> births.<br />

This procedure is known as flush<strong>in</strong>g. Special attention must be paid to m<strong>in</strong>eral and<br />

vitam<strong>in</strong> supplement.<br />

Effect of Body Condition Score (BCS), live weight (static effects) and<br />

changes <strong>in</strong> BCS and live weight (dynamic effects) before mat<strong>in</strong>g, dur<strong>in</strong>g mat<strong>in</strong>g<br />

and after mat<strong>in</strong>g period, on reproductive efficiency of different breeds of sheep <strong>in</strong><br />

the different rear<strong>in</strong>g systems were studied ( Cam et al., 2010, Aliyari et al., 2012).<br />

Most of researchers have reported that, the absolute effects of BCS and live weight<br />

than their variations have greater impact on sheep reproduction efficiency, which<br />

suggest the importance of breed and <strong>in</strong>teractions with nutritional and physiological<br />

conditions and its impact on reproduction efficiency (Gunn, 1983; Koycegiz et al.,<br />

2009). A correlation exists between BCS, live weight and amount of reserv<strong>in</strong>g<br />

body fat (Oregui et al., 1997). Also to prediction of adult weight of sheep with<br />

different genotypes, BCS is suitable (Zygoyiannis et al., 1997).<br />

Live weight is a comb<strong>in</strong>ation of skeleton size and BCS and it’s not a good<br />

representative to evaluate the reproductive efficiency. Adults weight is affected by<br />

factors such as skeleton scheme (body size), fullness or hunger trap (filled or empty<br />

digestive tract) or be<strong>in</strong>g wet wool (Demirel et al., 2004). Many researchers have<br />

reported that, fertility affected by BCS (Doney et al., 1982; Guerra et al., 1972;<br />

Gunn, 1983; Koyuncu, 2005; Madani et al., 2009). Garcia et al. (2002) showed the<br />

significant effect of body to <strong>in</strong>itiation of lambs' puberty.<br />

Effect of Body Condition Score, on some reproductive performance of<br />

Afshari ewes was studied by Aliyari et al., 2012 (table 2).<br />

Table 2. Effect of BCS on Mean ±SE reproductive traits (Aliyari et al., 2012)<br />

Trait BSC(2) BSC(2.5) BSC(3) BSC(3.5) ±SE<br />

Lamb born jo<strong>in</strong>ed ewes 1.24 1.30 1.40 1.05 9.60<br />

Kg lambs born/ jo<strong>in</strong>ed ewes 6.70 6.71 7.40 5.54 0.45<br />

No of mat<strong>in</strong>g conception 1.36 1.20 1.15 1.20 0.09<br />

Birth weight (kg) 5.36 5.15 5.34 5.29 0.10<br />

Wean<strong>in</strong>g weight (kg) 32.50 32.83 33.41 34.87 0.86<br />

Pregnancy duration (day) 151.72 151.31 151.18 151.05 0.15<br />

Ewe conceived at 1 st estrus 78.00 82.00 86.00 86.00 9.60<br />

Kg lambs born/lamb<strong>in</strong>g 6.99 7.10 7.56 7.02 0.38<br />

The effect of nutrition on ovulation rate is more evident over a period and<br />

when the nutritional treatments are done <strong>in</strong> the transitional period between<br />

anoestrus (seasonal or lactational) and the breed<strong>in</strong>g season. Nutrition has a smaller<br />

<strong>in</strong>fluence on sexual activity than on ovulation rate. In contrast, the modification of<br />

reproductive seasonality <strong>in</strong> ewes that have a moderate level of fat reserves us<strong>in</strong>g<br />

the level of nutrition as the only management tool seems to be difficult.<br />

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522<br />

M.P.Petrovic et al.<br />

In the Mediterranean environment, however, it is possible to overcome the<br />

regulat<strong>in</strong>g effect of photoperiod on reproductive seasonality <strong>in</strong> ewes that have a<br />

moderately high level of fat reserves. Results of Forcada and Abecia (2006) show<br />

a consistent reduction (P < 0.05) <strong>in</strong> the duration of seasonal anoestrus <strong>in</strong> ewes<br />

ma<strong>in</strong>ta<strong>in</strong>ed from November to September at a constant, moderately high body<br />

condition score (BCS-2.9) when compared to females hav<strong>in</strong>g a lower body<br />

condition score (BCS-2.3) (Fig. 1).<br />

Figure 1. Oestrous activity and ovulation rate of Rasa Aragonesa ewes<br />

ma<strong>in</strong>ta<strong>in</strong>ed at two constant<br />

levels of body condition score (BCS) throughout the year: moderately high (2.8)<br />

(filled bars and respectively) and moderately low (2.3) (white bars and<br />

respectively) (Forcada et al., 2006)<br />

Signal<strong>in</strong>g mechanisms for the provision of nutritional feedback from<br />

peripheral tissues to the hypothalamus <strong>in</strong>clude lept<strong>in</strong> and <strong>in</strong>sul<strong>in</strong>, s<strong>in</strong>ce their


Some important factors affect<strong>in</strong>g ...<br />

secretion is <strong>in</strong>fluenced by both body condition (BCS) and food <strong>in</strong>take <strong>in</strong> sheep<br />

(Marie et al. 2001). Both hormones are implicated <strong>in</strong> nutritional modulation of<br />

reproduction (Blache et al. 2000a) and <strong>in</strong> appetite/bodyweight regulation (Schwartz<br />

et al. 2000).<br />

Body reserves (long-term) and food <strong>in</strong>take (short-term) both contribute nutritional<br />

feedback to the hypothalamus. Reproductive neuroendocr<strong>in</strong>e output (GnRH/LH) is<br />

stimulated by <strong>in</strong>creased food <strong>in</strong>take and not by high adiposity <strong>in</strong> sheep, but it is<br />

unknown whether the appetite regulat<strong>in</strong>g hypothalamic neurons show this<br />

differential response.<br />

The amount of food given to the pregnant mother also <strong>in</strong>fluences birth<br />

weight of offspr<strong>in</strong>g and heavier offspr<strong>in</strong>g have a better chance of surviv<strong>in</strong>g.<br />

Conversely, the undersized new born animal has less chance of surviv<strong>in</strong>g and<br />

frequently dies <strong>in</strong> the first few days follow<strong>in</strong>g birth. Such an animal is less able to<br />

ma<strong>in</strong>ta<strong>in</strong> its body temperature and may die quickly if born <strong>in</strong> cold weather. If overfed,<br />

the pregnant animal may suffer difficulties <strong>in</strong> birth which could also lead to<br />

death of either the offspr<strong>in</strong>g or mother or both. Under nutrition <strong>in</strong> late pregnancy,<br />

particularly <strong>in</strong> ewes carry<strong>in</strong>g tw<strong>in</strong>s may cause pregnancy toxemia. This has given<br />

rise to the practice of steam<strong>in</strong>g up. Steam<strong>in</strong>g up is feed<strong>in</strong>g technique where females<br />

are put on a ris<strong>in</strong>g plane of nutrition <strong>in</strong> the latter stage of pregnancy. It <strong>in</strong>creases<br />

birth weight and milk production.<br />

Management and fertility<br />

The farm manager has the ability to control or at least to manipulate the factors that<br />

have been discussed above. Different ewe farms have different management<br />

practices and this may have an impact on fertility. Examples of how farmers<br />

control or manipulate these factors <strong>in</strong>clude:<br />

• Selection of both male and female animals on the basis of their ability to<br />

produce offspr<strong>in</strong>g<br />

• Ensur<strong>in</strong>g the correct proportion of male to female animals if us<strong>in</strong>g natural<br />

mat<strong>in</strong>g<br />

• Select<strong>in</strong>g animals suited to the environment<br />

• Provid<strong>in</strong>g correct nutrition for the stage of production of the animals<br />

• Select<strong>in</strong>g paddocks that m<strong>in</strong>imize the detrimental effects of environmental<br />

factors for newly born animals<br />

• Use of strategic worm control program<br />

• Use of a suitable vacc<strong>in</strong>ation program<br />

523


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M.P.Petrovic et al.<br />

The significant effect of the farm management has been described <strong>in</strong><br />

several studies (Anel, et al., 2005, Paulenz, et al., 2002). Plann<strong>in</strong>g of <strong>in</strong>tervals<br />

between lamb<strong>in</strong>gs, choos<strong>in</strong>g females to <strong>in</strong>sem<strong>in</strong>ate might slightly improve the<br />

fertility results (David et al. (2008). The need for a rest<strong>in</strong>g period for the ewe after<br />

lamb<strong>in</strong>g to allow uter<strong>in</strong>e <strong>in</strong>volution is well known. However, sometimes the<br />

<strong>in</strong>creas<strong>in</strong>g reproductive rate imposed by the demand<strong>in</strong>g production system <strong>in</strong>volves<br />

short rest<strong>in</strong>g periods from lamb<strong>in</strong>g to AI, which affects fertility <strong>in</strong> a negative way.<br />

Accord<strong>in</strong>g to Bod<strong>in</strong> et al. (1999), reduc<strong>in</strong>g the lamb<strong>in</strong>g-AI <strong>in</strong>terval to below 40-50<br />

days <strong>in</strong>duces a significant decrease <strong>in</strong> fertility, even after natural mat<strong>in</strong>g. Most<br />

authors recommend not <strong>in</strong>sem<strong>in</strong>at<strong>in</strong>g ewes any sooner than 50 days post-partum<br />

(Anel, et al., 2005). High body temperatures produced <strong>in</strong> rams by high summer<br />

temperatures is a cause of poor quality semen. High temperatures can also affect<br />

mat<strong>in</strong>g with reduced sexual activity. Conception rate is also reduced. This affects<br />

the number of offspr<strong>in</strong>g born. Reproductive plann<strong>in</strong>g (<strong>in</strong>tervals between lamb<strong>in</strong>gs,<br />

season, age of first mat<strong>in</strong>g, AI technique, etc.) and animal handl<strong>in</strong>g (feed<strong>in</strong>g,<br />

health, preparation of AI lots, etc.) have a great effect on fertility results (Anel, et<br />

al., 2005). David et al. (2008), us<strong>in</strong>g a jo<strong>in</strong>t model comb<strong>in</strong><strong>in</strong>g two ma<strong>in</strong> traits, one<br />

relative to female and the other relative to the male, reported that the ma<strong>in</strong><br />

variation factors of AI success were relative to non-sex-specific effects and to<br />

female effect, suggest<strong>in</strong>g that choos<strong>in</strong>g females to <strong>in</strong>sem<strong>in</strong>ate might slightly<br />

improve the AI results.<br />

Conclusion<br />

Based on the results presented by various authors, it could be concluded<br />

that the fertility of sheep is very complex property, and because of its importance<br />

<strong>in</strong> achiev<strong>in</strong>g success <strong>in</strong> sheep production, it has been studied from various aspects.<br />

Reproductive traits have low heritability, discrete phenotypic expression and are<br />

expressed only <strong>in</strong> sexually mature ewes, lead<strong>in</strong>g to the selection of low <strong>in</strong>tensity<br />

and long generational <strong>in</strong>tervals. The use of certa<strong>in</strong> physiological parameters <strong>in</strong> the<br />

selection can contribute to the success. Major genes affect<strong>in</strong>g fertility have been<br />

found <strong>in</strong> many sheep around the world. The development of techniques to map the<br />

location of genes and alleles that are responsible for the fertility of sheep, open a<br />

new chapter <strong>in</strong> predict<strong>in</strong>g and controll<strong>in</strong>g the fertility of sheep. The beneficial<br />

effects of nutrition on reproduction <strong>in</strong> sheep are well known. Influence of body<br />

condition score (BCS), before mat<strong>in</strong>g, dur<strong>in</strong>g mat<strong>in</strong>g and after mat<strong>in</strong>g on the<br />

reproductive efficiency of different breeds of sheep also studied many authors<br />

mentioned here. Farmer through the management has the ability to control, or at<br />

least manipulate factors that <strong>in</strong>fluence the fertility, which is also presented <strong>in</strong> this<br />

review paper. Despite the many factors that affect fertility of sheep, it appeared that


Some important factors affect<strong>in</strong>g ...<br />

the factors of genetics, nutrition and management has major role <strong>in</strong> <strong>in</strong>fluenc<strong>in</strong>g the<br />

fertility and the f<strong>in</strong>al successful sheep production.<br />

Važniji faktori koji utiču na plodnost kod ovaca<br />

M.P.Petrović, V.Caro Petrović, D. Ružić Muslić, Z. Ilic, B. Milosević,, J.Stojković,<br />

N. Maksimović<br />

Rezime<br />

Efikasnost proizvodnje ovaca je uslovljena plodnošću. Prema nekim<br />

autorima broja potomaka dobijenih po jagnjenju je važnije od prirasta i mase tela.<br />

Genetski uticaji koji uključuju reproduktivne osob<strong>in</strong>e se retko izučavaju. Plodnost<br />

ovaca ima ni<strong>za</strong>k heritabilitiet, diskretnu fenotipsku ekspresiju, a izražena je samo u<br />

seksualno zrelih ovaca, što dovodi do niskog <strong>in</strong>tenziteta selekcije i dugih<br />

generacijskih <strong>in</strong>tervala. Otkriće major gena koji utiču na plodnost je u to vreme<br />

otkrilo mnogo skeptika koji su snažno sumnjali da takav kompleks reprodukcije<br />

može biti duboko pod uticajem jednog gena. Glavne geni utiču na plodnost kod<br />

ovaca i ovnova. Mutacija u koštanoj morfogenetsko prote<strong>in</strong>a 15 gena (BMP15,<br />

takođe poznatom kao GDF9B) otkrivena je kod mnogih ovaca širom sveta, kao<br />

dokaz segregacije major gena. Razvojem tehnika mapiranja gena i lociranja alela<br />

koji su odgovorni <strong>za</strong> plodnost ovaca, počeolo je novo poglavlje u predviđanju i<br />

kontrolisanju plodnosti ovaca. Povoljni efekti ishrane na reprodukciju u ovaca su<br />

dobro poznati. Ovaj postupak je poznat kao flush<strong>in</strong>g, pred oplodnju. Uticaj<br />

kondicije tela (BCS), pred parenje, tokom parenja i posle parenja na reproduktivnu<br />

efikasnost različitih rasa ovaca u različitim podi<strong>za</strong>nju sistema su takođe proučavali<br />

mnogi ovde pomenuti autori. Farmer putem menadžmenta ima mogućnost da<br />

kontroliše, ili bar da maniupulate faktorima koji imaju uticaj na plodnostovaca, a<br />

što je takođe predstavljeno u ovom preglednom radu.<br />

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Received 27 august 2012; accepted for publication 20 September 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 529-536 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.052’3<br />

DOI: 10.2298/BAH1203529R<br />

THE EFFECT OF THE SYSTEM OF CROSSING ON<br />

FATTENING PARAMETERS OF WEANED LAMBS<br />

D. Ružić-Muslić 1 , M. P. Petrović 1 , M. M. Petrović 1 , 1 Z. Bijelić, 1 V.<br />

Pantelić 1 , P. Perišić 2 , V. Caro-Petrović 1<br />

1 <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun, 11080, Srbija<br />

2 Faculty of Agriculture University of Belgrade, Nemanj<strong>in</strong>a 6, 11080 Belgrade, Republic of Serbia<br />

Correspond<strong>in</strong>g author: muslic.ruzic@.gmail.com<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: In this paper, the effect of different systems of cross<strong>in</strong>g of sheep:<br />

two-breed (PxW) and three-breed (PxWxIDF) on production results – body weight<br />

and average daily ga<strong>in</strong> of lambs weaned at the age of 60 days and fattened to age of<br />

120 days, was <strong>in</strong>vestigated. Also, the effect of cross<strong>in</strong>g on consumption and<br />

conversion of food and nutrients was monitored. Study was carried out on the<br />

Experimental sheep farm of the <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun,<br />

and follow<strong>in</strong>g breeds were used <strong>in</strong> the cross<strong>in</strong>g: Pirot Pramenka (P), Wurttemberg<br />

(W) and Ile de France (IDF). Pirot Pramenka was used as the maternal basis, while<br />

Wurttemberg rams were used as sires, and as term<strong>in</strong>al breed, Ile de France rams<br />

were used. Results have shown that the three-breed crosses of F1 generation,<br />

compared to two-breed crosses, obta<strong>in</strong>ed higher body ga<strong>in</strong> for 19.23% with lower<br />

food <strong>in</strong>take for 5.19%, dur<strong>in</strong>g fatten<strong>in</strong>g period last<strong>in</strong>g from 60th to 120th day of<br />

age. Regard<strong>in</strong>g feed conversion ratio, they used per 1 kg of body ga<strong>in</strong> 29.61% less<br />

hay and 20.82% less concentrate feeds. Positive biological effect exhibited <strong>in</strong><br />

three-breed crosses (PxWxIDF) is consequence of <strong>in</strong>dividual heterosis and<br />

maternal heterosis.<br />

Key words: cross<strong>in</strong>g, ga<strong>in</strong>, body mass, feed conversion, heterosis<br />

Introduction<br />

Application of cross<strong>in</strong>g <strong>in</strong> sheep production is aimed at <strong>in</strong>crease of meat<br />

production and it is very important <strong>in</strong> programs of improvement of sheep breed<strong>in</strong>g.<br />

Cross<strong>in</strong>g of different sheep breeds is focused on use of the superiority of<br />

specialized sheep breeds with good meat production and transmitt<strong>in</strong>g of desirable<br />

genes to their progeny (Farid, 1991; Schoeman, 1995; Petrović, 2000, Chrestha<br />

and Heaney, 2004). Success <strong>in</strong> cross<strong>in</strong>g, <strong>in</strong> addition to genetic difference between<br />

crossed populations, greatly determ<strong>in</strong>ed the system of cross<strong>in</strong>g.


530<br />

D. Ružić-Muslić et al.<br />

In the system of cross<strong>in</strong>g which <strong>in</strong>cludes only two breeds only the heterosis<br />

of the <strong>in</strong>dividual animal is utilized, whereas <strong>in</strong> three-breed cross<strong>in</strong>g the heterosis of<br />

dam is added. Full utili<strong>za</strong>tion (100%) of the heterosis of the <strong>in</strong>dividual animal as<br />

well as the dam results <strong>in</strong> higher ga<strong>in</strong> and body mass, compared to two-breed<br />

crosses. Use of rams of Ill de France breed as term<strong>in</strong>al breed caused <strong>in</strong>crease of<br />

body mass <strong>in</strong> their progeny by 12%, compared to results obta<strong>in</strong>ed for rams of<br />

orig<strong>in</strong>al breed (Boujenane et al , 1998).<br />

Petrović et al. (1995), <strong>in</strong> the study of the effects of various cross<strong>in</strong>g<br />

comb<strong>in</strong>ations: Pirot Pramenka x Mer<strong>in</strong>olandschaf, Pirot Pramenka x Ile de France,<br />

Pirot Pramenka x Mer<strong>in</strong>olandschaf x Ile de France and Pirot improved sheep x Ile<br />

de France, <strong>in</strong> the period to wean<strong>in</strong>g (90 days of age), have determ<strong>in</strong>ed that threebreed<br />

crosses used by 17.40% less concentrated food per kilogram of ga<strong>in</strong>,<br />

compared to two-breed crosses.<br />

Objective of present study was to compare production performance of<br />

lambs-crosses of F1 generation: Pirot Pramenka x Wurttemberg and Pirot Pramenka<br />

x Wurttemberg x Ile de France, weaned at the age of 60 days and fattened to the<br />

age of 120 days.<br />

Material and methods<br />

Study was carried out on the Experimental sheep farm of the <strong>Institut</strong>e for<br />

<strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun. In the research, 60 lambs – crosses of F1<br />

generation were used: Pirot Pramenka x Wurttemberg (I) and Pirot Pramenka x<br />

Wurttemberg x Ile de France (II) , weaned at the age of 60 days. All animals were<br />

equal <strong>in</strong> regard to body weight age and sex/gender (gender ratio 1:1). Initial body<br />

weight of lambs at the beg<strong>in</strong>n<strong>in</strong>g of trial was around 18.0 kg.<br />

Nutrition of lambs with forage mixtures was ad libitum, whereas the<br />

quantity of hay was limited and equally distributed to groups. The nutritional<br />

value was calculated accord<strong>in</strong>g to the French system recommended by INRA<br />

(1988) and Obračević (1990). Structure and nutritional value of used mixtures is<br />

presented <strong>in</strong> Table 1.<br />

Changes of the body weight average daily ga<strong>in</strong>, consumption and<br />

conversion of food and nutrients were checked <strong>in</strong> 15 day <strong>in</strong>tervals, whereas the<br />

<strong>in</strong>itial and f<strong>in</strong>al body weights were measured three times <strong>in</strong> three consecutive days.<br />

Statistical process<strong>in</strong>g of obta<strong>in</strong>ed data was done us<strong>in</strong>g the program Stat.Soft, Inc<br />

(2003) STATISTICA (data analysis software system), version 6, by apply<strong>in</strong>g<br />

standard mathematical-statistical methods.


The effect of the system of ...<br />

Table 1.Structure and nutritional value of concentrate mixture used <strong>in</strong> nutrition of weaned<br />

lambs, %<br />

Feeds %<br />

Corn 73<br />

Sunflower meal 23<br />

Lime 2<br />

Salt 1<br />

Premix 1<br />

Dry matter, g kg- 1 (*) 870<br />

NEM,MJ(*) 7.51<br />

UFV(**) 0.99<br />

Total prote<strong>in</strong>,g/kg(*) 142<br />

RUP 43<br />

PDIN/g/animal/day(**) 102<br />

PDIE/g/animal/day(**) 102<br />

Ca,g(*) 8.4<br />

P,g(*) 4.6<br />

RUP- rumen non-degradable prote<strong>in</strong>; PDIN - prote<strong>in</strong> digested <strong>in</strong> small <strong>in</strong>test<strong>in</strong>e depend<strong>in</strong>g on the<br />

ferment<strong>in</strong>g nitrogen; PDIE - prote<strong>in</strong> digested <strong>in</strong> small <strong>in</strong>test<strong>in</strong>e depend<strong>in</strong>g on the ferment<strong>in</strong>g organic<br />

matter<br />

**INRA (1988)<br />

*Obračevic (1990)<br />

Results and Discussion<br />

Indicators of the body mass and realized daily ga<strong>in</strong> are presented <strong>in</strong> Table<br />

2. It is known that the body mass is the most relevant factor <strong>in</strong>fluenc<strong>in</strong>g the carcass<br />

value (Rodriguez, 2011). It can be observed <strong>in</strong> the table that lambs obta<strong>in</strong>ed <strong>in</strong><br />

three-breed cross<strong>in</strong>g, compared to two-breed crosses, had higher body weight at the<br />

end of the fatten<strong>in</strong>g by 2.82 kg or 8.76%. By statistical procedure it was<br />

determ<strong>in</strong>ed that the system of cross<strong>in</strong>g had very significant effect on body weight<br />

(P


532<br />

D. Ružić-Muslić et al.<br />

with Texel and Ile de France, and established that crosses of F1 generation have<br />

realized average daily ga<strong>in</strong> of 0.237 kg. Also, Petrović et al. (1995), by compar<strong>in</strong>g<br />

the systems of cross<strong>in</strong>g, have stated that three-breed crosses (PxWxIDF), compared<br />

to (PxW), to the age of 90 days, have realized by 21.12% higher daily ga<strong>in</strong>. Use of<br />

Ile de France rams <strong>in</strong> systems of cross<strong>in</strong>g as term<strong>in</strong>al breed, <strong>in</strong>fluenced the <strong>in</strong>crease<br />

of body mass of lambs-crosses by 12% (Boujenane et al., 1998). Positive<br />

biological effect of three-breed cross<strong>in</strong>g is consequence of the heterosis effect. The<br />

essence of this phenomenon is associated with biochemical and physiological<br />

condition of the sheep organism (Bozkov et al., 1980; Andersen and Christensen,<br />

1981; Petrović et al., 1996). It has been established that <strong>in</strong>terracial cross<strong>in</strong>g of<br />

sheep significantly <strong>in</strong>fluences the stimulation of biosynthetic processes which is<br />

manifested through: <strong>in</strong>creased mitochondrial activity, more stable metabolic<br />

processes and greater activity of tissue ferments. Experimental study of a group of<br />

Russian authors (Sanikov and Ka<strong>za</strong>novskij, 1981; Selk<strong>in</strong> et al., 1995) revealed that<br />

the activity of aspartate-am<strong>in</strong>otransferase <strong>in</strong> lambs-crosses was higher <strong>in</strong> average<br />

by 19.8% and of alan<strong>in</strong>-am<strong>in</strong>otransferase by 16.4%. As concluded by above<br />

mentioned authors, this <strong>in</strong>dicates the connection between the level of activity of<br />

ferments and daily ga<strong>in</strong> of crossbred lambs.<br />

Heterosis effect occurs <strong>in</strong> all systems of cross<strong>in</strong>g, but not <strong>in</strong> the same<br />

extent. In case of cross<strong>in</strong>g of two sheep breeds, only the heterosis of the <strong>in</strong>dividual<br />

animal is exhibited, whereas <strong>in</strong> three-breed cross<strong>in</strong>g, 100% heterosis of the<br />

<strong>in</strong>dividual animal and 100% heterosis of one of the parents are utilized.<br />

Table 2. Production performance of trial lambs<br />

Parameter<br />

Number of animals<br />

Initial body mass, kg<br />

Initial age, days<br />

F<strong>in</strong>al body mass, kg<br />

F<strong>in</strong>al age, days<br />

Average daily ga<strong>in</strong>, g<br />

** (P


The effect of the system of ...<br />

Results of the comparison of three-breed and two-breed crosses, from the aspect of<br />

consumption and utili<strong>za</strong>tion of food and nutrients are presented <strong>in</strong> Tables 3 and 4.<br />

By analys<strong>in</strong>g the data presented <strong>in</strong> Table 3, it can be concluded that crosses<br />

PxWxIDF consumed slightly less DM (by 5.19%) compared to PxW crosses.<br />

Table 3. Consumption of food and nutrients of the diet<br />

Parameter<br />

Hay, g/day<br />

Concentrate mixture, g/day<br />

DM, g/day<br />

Total prote<strong>in</strong>, g/day<br />

PDIN, g/day<br />

PDIE, g/day<br />

NEM MJ<br />

System of cross<strong>in</strong>g<br />

PxW PxWxIDF<br />

0.271<br />

0.625<br />

0.790<br />

0.127<br />

87.06<br />

82.99<br />

5.84<br />

0.237<br />

0.614<br />

0.749<br />

0.120<br />

83.01<br />

79.46<br />

5.61<br />

In regard to food conversion ratio, it is apparent that three-breed crosses<br />

used by 29.61% less hay and by 20.82% less concentrate mixture compared to twobreed<br />

crosses. Our results are consistent with results of (Rodriguez et al.,2011) who<br />

have stated that crosses of Mer<strong>in</strong>o x Asaf have used by 17% less DM compared to<br />

Asaf lambs. Also, Petrović et al. (1995), who have studied the effects of various<br />

cross<strong>in</strong>g comb<strong>in</strong>ations: Pirot Pramenka x Mer<strong>in</strong>olandschaf, Pirot Pramenka x Ile<br />

de France, Pirot Pramenka x Mer<strong>in</strong>olandschaf x Ile de France and Pirot improved<br />

sheep x Ile de France, <strong>in</strong> the period before wean<strong>in</strong>g (90 days of age), concluded<br />

that crosses products of three-breed cross<strong>in</strong>g have utilized by 17.40% less<br />

concentrate mixture per kilogram of ga<strong>in</strong>, compared to two-breed crosses. More<br />

favourable food conversion ratio <strong>in</strong> three-breed crosses is consequence of positive<br />

heterosis effect.<br />

This is confirmation of the conclusions made by Shrestha et al. (2004)<br />

claim<strong>in</strong>g that cross<strong>in</strong>g represents economically efficient procedure with aim to<br />

utilize <strong>in</strong>dividual heterosis and heterosis of the dam.<br />

Table 4. Consumption of food and nutrients per unit of ga<strong>in</strong><br />

Parameter<br />

Hay, g/day<br />

Concentrate mixture, g/day<br />

DM, g/day<br />

Total prote<strong>in</strong>, g/day<br />

PDIN, g/day<br />

PDIE, g/day<br />

NEM MJ<br />

System of cross<strong>in</strong>g<br />

PxW PxWxIDF<br />

1.79<br />

4.13<br />

5.21<br />

843<br />

575<br />

548<br />

38.58<br />

1.26<br />

3.27<br />

3.99<br />

642<br />

443<br />

424<br />

29.92<br />

533


534<br />

Conclusion<br />

D. Ružić-Muslić et al.<br />

Based on conducted research and obta<strong>in</strong>ed results, the follow<strong>in</strong>g can be<br />

concluded:<br />

• Three-breed crosses, <strong>in</strong> comparison to two-breed crosses, <strong>in</strong> the fatten<strong>in</strong>g<br />

period from age of 60 to 120 days, have realized higher ga<strong>in</strong> by 19.23%<br />

(P


The effect of the system of ...<br />

Rezultati su poka<strong>za</strong>li da su trorasni melezi u odnosu na dvorasne, u tovu od<br />

60. do 120. dana uzrasta ostvarili <strong>za</strong> 19.23% veći prirast i <strong>za</strong> 5.19% manje<br />

konzumiranje hrane.<br />

U pogledu konverzije hrane, po kg prirasta su utrošili <strong>za</strong> 29.61% manje sena<br />

i <strong>za</strong> 20.82% manje koncentrata.<br />

Pozitivan biološki efekat koji se ispoljio kod mele<strong>za</strong> (PxWxIDF) je<br />

posledica korišćenja heterozisa <strong>in</strong>dividue i heterozisa majke.<br />

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Comparative assessment of biological efficiency of crossbred lambs from two<br />

composite l<strong>in</strong>es and Dorper sheep. Small Rum<strong>in</strong>ant Research, Volume 16, Issue 1,<br />

Pages 61-67<br />

SELKIN I.I., ČIŽOVA L.N., RABOČEV V.K. (1995): Selekcija ovec na<br />

sovemennom etape. Međunarodnij simpozijum. Biotehnologija u stočarstvu, god.<br />

11, 3-6, pages 55-60.<br />

StatSoft, Inc. (data analysis software system), version 6 (2003)<br />

www.statsoft.com.<br />

Received 14 August 2012; accepted for publication 20 September 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 537-544 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.087.7<br />

DOI: 10.2298/BAH1203537I<br />

THE INFLUENCE OF BIOLOGICALLY ACTIVE<br />

SUPPLEMENT "BIORIL"ON PERFORMANCE OF<br />

FATTENING LAMBS<br />

Z. Ilić 1 , J. Stojković 1 , D. Ružić Muslić 2 , V. Caro Petrović 2 ,<br />

M. P. Petrović 2 , R. D. Djoković 3 , V. S. Kurčubić 3 ,<br />

1 University of Prist<strong>in</strong>a, Faculty of Agriculture, Kopaonicka bb, 38219 Lesak, Serbia<br />

2 <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, P.O.Box. 23, 11081 Zemun, Belgrade, Serbia.<br />

3 Faculty of Agronomy, Cara Dusana 34, 32000 Cacak, Serbia, University of Kragujevac<br />

Correspond<strong>in</strong>g author: ilzoama@open.telekom.rs<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: Investigations were carried out <strong>in</strong> order to determ<strong>in</strong>e whether<br />

the addition of bioactive substances "Bioril" on different percentages <strong>in</strong><br />

concentrate (0.3% and 0.6%), has an impact on weight ga<strong>in</strong> and feed conversion <strong>in</strong><br />

lambs. For the experiment were used lambs of Mis sheep breed, which at the<br />

beg<strong>in</strong>n<strong>in</strong>g of the experiment were 50 days of age. The experiment lasted 42 days,<br />

so it is over when all lambs had 92 days of age. The experiment <strong>in</strong>cluded 60 lambs<br />

(30 male and 30 female) were divided <strong>in</strong>to three groups-20 lambs per group<br />

(control group I and II and III experimental groups ).The results shows that the<br />

greatest ga<strong>in</strong>s made lambs of group III. The difference between body weight of<br />

group I and II was 1.62 kg and was statistically significant (P0.05), but lambs of groups III<br />

and II consumed per unit of ga<strong>in</strong> approximately 5g/kg and 10g/kg less concentrate<br />

than lambs of group I. Most hay consumed by lambs of group I. The difference <strong>in</strong><br />

hay consumption between groups I and II is 20 g/kg. Lambs <strong>in</strong> group III consumed<br />

30 g/kg which was less hay than group I and less 10 g/kg than lambs of group II.<br />

The most energy per kg of ga<strong>in</strong> was consumed by lambs of group III, whereas<br />

lambs <strong>in</strong> II group consumed the least energy.<br />

lambs<br />

Key words: sheep, bioactive supplement, bioril, fatten<strong>in</strong>g characteristics,


538<br />

Introduction<br />

Z. Ilić et al.<br />

In majority countries of Europe, lamb meat is the most important product<br />

of the sheep and growth of lambs has special <strong>in</strong>terest for the farmers. Growth of<br />

lambs depends on a number of genetic and environmental factors (Morris et al.,<br />

2000, Petrović, 2000, Petrović et al., 2011, Hansen and Shrestha, 2002, Notter et<br />

al., 2005). It is known that feed<strong>in</strong>g is the most important factor that <strong>in</strong>fluences the<br />

expression of genetic potential of lambs (Santos et al., 2002, Ruzic Muslic et al,<br />

2009). In the European Mediterranean countries lambs are traditionally reared with<br />

their dams <strong>in</strong> <strong>in</strong>door conditions until wean<strong>in</strong>g and there after fattened with<br />

concentrate (Safiudo et aI., 1998). The feed<strong>in</strong>g of lambs is an important<br />

concentration of the meal. Energy is the major dietary element that is responsible<br />

for the different utili<strong>za</strong>tion of nutrients and thereby the productivity and ga<strong>in</strong> of an<br />

animal (Bellof and Pallauf, 2004, Pittroff et al., 2006, Hosse<strong>in</strong>i et al., 2008, Khalid<br />

et al, 2011). Because of the small volume of digestive organs of lambs on one side<br />

and greater <strong>in</strong>tensity of growth on the other, some unconventional feeds are used,<br />

such as fats of animal orig<strong>in</strong> (Diaz et al., 2002; Samy,2006; Ružić-Muslić et al.,<br />

2007). In addition to traditional nutrients, there are also various bioactive<br />

supplements. Bioactive Supplements "Bioril" is concentrated salt sodium fatty<br />

acids, which comes from sheep wool fat sweat. The fat content <strong>in</strong> it reaches over<br />

60%, <strong>in</strong>clud<strong>in</strong>g up to 90% free fatty acids, 6% of free alcohol, 1% of hydrocarbons,<br />

2% aliphatic alcohol and a m<strong>in</strong>or content of methyl esters of fatty acids. "Bioril"<br />

was developed <strong>in</strong> All-Russian Scientific Research <strong>Institut</strong>e of Sheep and Goat<br />

Breed<strong>in</strong>g-Stavropol, of the Russian Agricultural Academy (Efremov et al., 1992).<br />

Bioril is highly effective and environmentally clean product promotes active<br />

development of the microflora <strong>in</strong> the rumen, <strong>in</strong>creased enzymatic processes,<br />

<strong>in</strong>crease the total number of VFA and total lipids, while the hydrogenation<br />

processes are enhanced, there is a rapid growth of body weight and wool growth <strong>in</strong><br />

sheep (Ermolovna, 1998, Novopash<strong>in</strong>a, 1999).<br />

The objective of this paper was to <strong>in</strong>vestigate the effect of “Bioril” on<br />

fatten<strong>in</strong>g characteristics of lambs <strong>in</strong> conditions outside of Russia.<br />

Material and methods<br />

Investigations were carried out on an experimental farm of sheep at the<br />

<strong>Institut</strong>e of <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun. For the experiment were used<br />

lambs of Mis sheep, which at the beg<strong>in</strong>n<strong>in</strong>g of the experiment were 50 days of age.<br />

The experiment lasted 42 days, so it is over when all lambs had 92 days of age The<br />

experiment <strong>in</strong>cluded 60 lambs (30 male and 30 female) were divided <strong>in</strong>to three<br />

groups-20 lambs per group (I control group and II and III experimental groups).


The <strong>in</strong>fluence of biologically ...<br />

The composition of the concentrate and content of "Bioril" <strong>in</strong> concentrate are<br />

shown <strong>in</strong> Table 1.<br />

Table 1. Structure of concentrate mix, %<br />

F e e d s G r o u p s<br />

I II III I II III<br />

Corn 66.3 66.0 65.7<br />

Sunflower meal 30 30 30<br />

Bioril 0 0.3 0.6<br />

Chalk 2 2 2<br />

Salt 0.7 0.7 0.7<br />

Premix 1 1 1<br />

Total 100 100 100<br />

In addition to the concentrate, lambs were fed alfalfa hay ad libitum. Water<br />

also was available ad libitum. Samples were analyzed us<strong>in</strong>g the conventional<br />

chemical process - WEENDE. Feed refusals were collected and weighed daily.<br />

Lambs were weighed before feed<strong>in</strong>g <strong>in</strong>itially and then at 7 day <strong>in</strong>terval throughout<br />

the experimental period. After completion of 92-days experimental period, f<strong>in</strong>al<br />

live weight of each animal was recorded. Statistical analyses<br />

were performed with StatSoft STATISTICA Version 8.<br />

Table 2. Nutritive value of feeds used <strong>in</strong> trial<br />

Feeds FU NEM/NME, MJ<br />

Undegradable<br />

prote<strong>in</strong>,%<br />

Concentrate I 1.23 7.28 0.38<br />

Concentrate II 1.30 7.39 0.38<br />

Concentrate III 1.34 7.48 0.39<br />

Hay 0.69 4.12 0.31<br />

Milk 0.39 2.34 0.71<br />

Results and discussion<br />

Body development of fatten<strong>in</strong>g lambs dur<strong>in</strong>g the experiment is given <strong>in</strong><br />

Table 3.<br />

It can be seen that the lambs at the start of experiments had the same age<br />

and body weight uniformity, which is varied <strong>in</strong> the range from 18:38 to 18:40 kg.<br />

This is the stage where lambs are adapted for consum<strong>in</strong>g hay and concentrate and<br />

may give an answer on the composition and quality of nutrients. If we look at the<br />

results of the body weight of lambs at the end of the experiment, we can see that<br />

539


540<br />

Z. Ilić et al.<br />

the lowest weight were <strong>in</strong> lambs of group I, while the lambs of group II and III had<br />

a higher f<strong>in</strong>al body weight.<br />

Table 3. Performance of fatten<strong>in</strong>g lambs<br />

C r i t e r i o n Groups<br />

I II III<br />

Initial body weight, kg 18.39 18.40 18.38<br />

Initial age, d 50 50 50<br />

F<strong>in</strong>al body weight, kg 31.75 33.37 33.62<br />

Total ga<strong>in</strong>, kg 13.36 14.97 15.24<br />

Average daily ga<strong>in</strong>, g 318 356 362<br />

The difference between body weight of the I and II group was 1.62 kg and<br />

was statistically significant (P


The <strong>in</strong>fluence of biologically ...<br />

Table 4. Feed and nutrients conversion per kg of ga<strong>in</strong>, g/kg<br />

Feeds Groups<br />

I II III<br />

Milk 740 670 730<br />

Concentrate mixture 1830 1820 1825<br />

Alfalfa hay 1350 1330 1320<br />

DM 2770 2751 2748<br />

CP 472 469 468<br />

NEM,MJ/kg 20.61 20.47 20.78<br />

In lambs production is very important that lambs consumed less feed per<br />

unit of ga<strong>in</strong>. Only when we compare the ga<strong>in</strong> with feed conversion, we can get a<br />

true picture of the genotype of lambs and the quality of the food consumed. From<br />

Table 4 we saw that lambs of all groups consumed per kg ga<strong>in</strong> more concentrated<br />

than hay. The difference <strong>in</strong> feed conversion between groups is not significant<br />

(P>0.05). But lambs of groups III and II consumed per unit of ga<strong>in</strong> approximately<br />

5g/kg and 10g/kg less concentrate than lambs of group I. It is clear that lambs <strong>in</strong> II<br />

and III groups, which were fed with concentrate conta<strong>in</strong><strong>in</strong>g the "Bioril" consumed<br />

less concentrate per kg of ga<strong>in</strong>. It is seen that the difference between experimental<br />

groups is small, only 5g/kg. Ermolovna (1998) stated that <strong>in</strong>clusion <strong>in</strong> the diet of<br />

sheep "Bioril" contributes to the development of microorganisms <strong>in</strong> the rumen: the<br />

number of bacteria <strong>in</strong>creased by 36.9%, 62% of the simplest. Change the<br />

microflora <strong>in</strong> the rumen contributes to the <strong>in</strong>tensification of enzymatic processes,<br />

lead<strong>in</strong>g to an <strong>in</strong>crease <strong>in</strong> total VFA <strong>in</strong> the rumen contents of 12%, ma<strong>in</strong>ly due to<br />

acetic and valeric acids. Number of total lipids <strong>in</strong> the rumen contents <strong>in</strong>creased by<br />

34% hydrogenation processes are enhanced essential fatty acids. It could be<br />

concluded that the higher content of bioactive supplement "Bioril" by<br />

microbiological and biochemical effects <strong>in</strong> the process of digestion, improved<br />

some sensory properties of the concentrate, which makes it more lambs consumed.<br />

Can say that Bioril has a similar effect of probiotics because, as stated Dutta et<br />

al.(2009) positive effects of probiotics on the rumen environment and performance<br />

of rum<strong>in</strong>ants have been <strong>in</strong>tensively studied because they can beneficially modify<br />

microbial activities, fermentative and digestive functions <strong>in</strong> the rumen. It is further<br />

stated that probiotics can stimulate specific groups of beneficial bacteria <strong>in</strong> the<br />

rumen, and has provided mechanistic models that can expla<strong>in</strong> their effects on<br />

animal performance. From the table 4, we can see that most hay consumed by<br />

lambs of group I. The difference between groups I and II is 20g/kg. Lambs <strong>in</strong><br />

group III consumed 30g/kg less than group I and less 10g/kg than lambs of group<br />

II. The most energy per kg of ga<strong>in</strong> consumed lambs of group III, whereas lambs <strong>in</strong><br />

II group consumed the least energy. Other authors also reported that the energy<br />

level <strong>in</strong> the diet affects the growth of lambs. Seyed (2009) <strong>in</strong>formed that the feed<br />

<strong>in</strong>take was higher for group fed on low energy diet compared with other treatment<br />

groups. The weight ga<strong>in</strong> of the lambs fed on high-energy diet was <strong>in</strong>creased by<br />

541


542<br />

Z. Ilić et al.<br />

31.60%, while those fed on low energy diet was decreased by 19.87%. The feed<br />

conversion was better <strong>in</strong> the group fed on high energy compared to other<br />

experimental groups. Ruzic et al.(2009) reported that With <strong>in</strong>crease of diet<br />

concentration by add<strong>in</strong>g 4% of tallow <strong>in</strong> forage mixture,tendency of reduction of<br />

consumption of dry matter, energy and prote<strong>in</strong> per kg of ga<strong>in</strong> was observed.<br />

Bahtiyarca et al. (2002) showed that the <strong>in</strong>crease <strong>in</strong> prote<strong>in</strong> and energy content of<br />

diets decreased the voluntary food <strong>in</strong>take.<br />

Conclusion<br />

Based on research conducted and the obta<strong>in</strong>ed results, we can conclude the<br />

follow<strong>in</strong>g: the experimental groups of lambs that were fed concentrates with<br />

"Bioril" achieved higher daily ga<strong>in</strong>, compared with the control group (P0.05). The difference <strong>in</strong> feed conversion between groups is also not<br />

significant (P>0.05). Therefore, it is clear that experimental groups of lambs, which<br />

were fed with the concentrate conta<strong>in</strong><strong>in</strong>g the "Bioril" consumed less concentrate<br />

per kg of ga<strong>in</strong>. We can also conclude that most hay consumed by lambs <strong>in</strong> group I.<br />

The most energy per kg of ga<strong>in</strong> was consumed by lambs of group III, whereas<br />

lambs <strong>in</strong> group II consumed the least energy.<br />

Acknowledgements<br />

This study is part of the projects TR 31001 "An environmental approach and<br />

implementation of modern biotechnologies as a basis for the improvement of<br />

rum<strong>in</strong>ant breed<strong>in</strong>g technology", and TR 31053 "Modern biotechnology solutions<br />

<strong>in</strong> the breed<strong>in</strong>g and feed<strong>in</strong>g of cattle sheep and goats for the production of valuable<br />

and safety food" f<strong>in</strong>ancially supported by the M<strong>in</strong>istry of Education, Scienceand<br />

Technological development of the Republic of Serbia.<br />

Uticaj bioaktivnog dodatka Biorila na rezultate jagnjadi u<br />

tovu<br />

Z. Ilić, J. Stojković, D. Ružić Muslić, V. Caro Petrović, M. P. Petrović, R.<br />

Djoković, V. S. Kurčubić<br />

Rezime<br />

Istraživanja su sprovedena kako bi se utvrdilo da li dodavanje bioaktivne<br />

supstance "Bioril" u različitim procentima u koncentratu (0,3% i 0,6%), ima uticaj<br />

na prirast i konverziju hrane u jagnjadi. Za eksperiment su korišćena jagnjad od<br />

ovaca rase Mis, koja su na početku eksperimenta bila 50 dana starosti. Eksperiment


The <strong>in</strong>fluence of biologically ...<br />

je trajao 42 dana, tako da je <strong>za</strong>vršen kada su jagnjad imala 92 dana starosti. U<br />

eksperiment je uključeno 60 jagnjadi (30 muškog i 30 ženskog pola). Jagnjad su<br />

podeljena u tri grupe-20 jagnjadi po grupi (kontrolna grupa I i II i III<br />

eksperimentalne grupe). Rezultati pokazuju da su ostvareni najveći dnevni prirasti<br />

kod jagnjadi II eksperimentalne grupe. Razlika između telesne mase grupe I i II je<br />

1.62 kg i bila je statistički značajna (P0,05), ali<br />

jagnjad grupe III i II troši po jed<strong>in</strong>ici prirasta oko 5g/kg i 10g/kg manje koncentrata<br />

nego jagnjad grupe I. Više sena troše jagnjad iz I grupe. Razlika u potrošnji sena<br />

između grupa I i II je 20g /kg. Najviše energije po kg prirasta troši jagnjad iz III<br />

grupe, dok jagnjad iz II grupe troši najmanje energije.<br />

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Received 25 June 2012; accepted for publication 18 August 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 545-552 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.087.7<br />

DOI: 10.2298/BAH1203545S<br />

EFFICENCY OF ZEOLITE BASIS PREPARATION IN<br />

FATTENING LAMBS DIET<br />

J. Stojković 1 , Z. Ilić 1 , S. Ćirić 1 , B. Ristanović 1 , M. P. Petrović 2 , V. Caro<br />

Petrović 2 , V. Kurčubić 3<br />

1 University of Prist<strong>in</strong>a, Faculty of Agriculture, Kopaonicka bb, 38219 Lesak, Serbia<br />

2 <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, P. O. Box 23, 11081 Zemun, Belgrade, Serbia.<br />

3 Faculty of Agronomy, Cara Dusana 34, 32000 Cacak, Serbia, University of Kragujevac<br />

Correspond<strong>in</strong>g author: jovanips@gmail.com<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: The paper presents the results of a research on the impact of<br />

products based on natural zeolite on the production results of fatten<strong>in</strong>g lambs. The<br />

experiment <strong>in</strong>volved two groups of lambs (the control - C and experimental – E<br />

groups), each consist<strong>in</strong>g of 15 heads, for a period of 90 days. The meal was made<br />

from sheep milk, feed mixtures for fatten<strong>in</strong>g lambs and meadow hay. The test<br />

group lambs, unlike the ones from the control group, were given mixtures based on<br />

natural zeolite. M<strong>in</strong>-a-Zel S mixture (<strong>in</strong> the form of 25% composite) was fed to<br />

lambs from birth till their 14th day of life, directly <strong>in</strong>to the mouth, once a day<br />

(before the morn<strong>in</strong>g feed), <strong>in</strong> the amount of 10 ml. M<strong>in</strong>-a-Zel Plus was given to<br />

them from their 15th day of life, together with the feed mixture (0.5%). Feed<strong>in</strong>g<br />

was at will. The average weight of lambs at the end of the experiment, <strong>in</strong><br />

accordance with the sequence of treatments (C:E) was 24.40:26.94 kg (P


546<br />

J. Stojković et al.<br />

ammonia, carbon monoxide, pesticides and herbicides), it helps to achieve better<br />

production results and ma<strong>in</strong>ta<strong>in</strong> the health and reproductive performance of<br />

domestic animals (Adamovic et al. 2001, Dakovic et al. 2003, Medakovic and Zaric<br />

2005). Stojković (2006), have astablished that the newborn lambs, that were fed the<br />

product based on natural zeolite through colostrum (M<strong>in</strong>-a-Zel S <strong>in</strong> the amount of 5<br />

g/l of colostrum), had more than 50 percent higher concentration of<br />

immunoglobul<strong>in</strong> (IgG) after the period of six hours. Later, 24 and 48 hours after<br />

the birth, the values of IgG also <strong>in</strong>creased, <strong>in</strong>dicat<strong>in</strong>g the contribution of these<br />

drugs <strong>in</strong> strengthen<strong>in</strong>g the immune system of lambs <strong>in</strong> their first days of life.<br />

The aim of this study was to determ<strong>in</strong>e the <strong>in</strong>fluence of products based on<br />

natural zeolite (M<strong>in</strong>-a-Zel S and M<strong>in</strong>-a-Zel Plus) on major production performance<br />

of fatten<strong>in</strong>g lambs. M<strong>in</strong>-a-Zel S is a 25% composite of a processed zeolite<br />

concentrate, conta<strong>in</strong><strong>in</strong>g 90% of cl<strong>in</strong>optilolite. M<strong>in</strong>-a-Zel Plus represents a new<br />

generation of m<strong>in</strong>eral mycotox<strong>in</strong> adsorbent, obta<strong>in</strong>ed by an organic modification of<br />

a zeolite m<strong>in</strong>eral cl<strong>in</strong>optilolite with a long-cha<strong>in</strong> quaternary am<strong>in</strong>e.<br />

Material and methods<br />

The experiment <strong>in</strong>volved two groups (the control - C and the experimental-<br />

E groups), each consist<strong>in</strong>g of 15 lambs, and it was organized on a Mramor farm,<br />

near Niš. The experiment was realized <strong>in</strong> January-March 2011, <strong>in</strong> a period of 90<br />

days. Lambs were fed a meal consist<strong>in</strong>g of sheep's milk, feed mixtures for fatten<strong>in</strong>g<br />

lambs and meadow hay. Lambs were reviewed when they were 60 days old. The<br />

experimental group lambs, unlike the control group ones, received the products<br />

based on natural zeolite. M<strong>in</strong>-a-Zel S mixture was fed to the lambs from birth to<br />

their 14 th day of life, directly <strong>in</strong> the mouth once a day (before the morn<strong>in</strong>g feed) <strong>in</strong><br />

the amount of 10 ml. They were given M<strong>in</strong>-a-Zel Plus from their 15 th day of life,<br />

together with the feed mixture (0.5%). Lamb feed<strong>in</strong>g was at will. Standard<br />

chemical analysis was conducted on the feed samples used (milk, feed mixtures<br />

and hay) at the beg<strong>in</strong>n<strong>in</strong>g of experiment (Table 1).<br />

Table 1. Chemical composition of used feedstuffs (calculated to % of DM)<br />

Parameter Concentrate mixture Meadow hay Sheep milk<br />

Dry matter 88.55 89.50 18.10<br />

Prote<strong>in</strong>s 15.10 11.20 6.05<br />

Ash 5.64 7.15 0.66<br />

Fat 2.70 2.05 7.30<br />

Cellulose 9.90 27.36 0.00<br />

NFE 54.90 41.70 4.20<br />

ME, MJ/kg 7.10 0.56 2.50<br />

Ca (g) 0.74 0.70 0.20<br />

P (g) 0.55 0.51 0.14


Efficency of zeolite basis ...<br />

Body weight of lambs was measured at birth and then at 30, 60 and 90<br />

days of the age. Food consumption was monitored daily. Statistical analysis was<br />

done by the Statistica program, Version 6, StatSoft. Inc. (2003).<br />

Results and Discussion<br />

The results of the achieved lamb weight (Table 2) <strong>in</strong>dicate that the lambs<br />

which received M<strong>in</strong>-a-Zel S and M<strong>in</strong>-a-Zel Plus were more advanced. At 60 days<br />

old, lamb body weight, <strong>in</strong> accordance with the sequence of treatments C:E was<br />

17.79:18.91 kg, and the noticeable differences were statistically significant (P<br />


548<br />

J. Stojković et al.<br />

Throughout the experiment (0-90 days), the achieved ga<strong>in</strong> was 229:256<br />

grams, and the established differences of 27 g or 11.79% were <strong>in</strong> favor of the<br />

experimental group and were statistically highly significant (P


Efficency of zeolite basis ...<br />

utili<strong>za</strong>tion of dry matter, prote<strong>in</strong> and energy dur<strong>in</strong>g the experiment (0-90 day) was,<br />

except for the first month, noticeably better <strong>in</strong> lambs <strong>in</strong> the experimental group<br />

(Table 5).<br />

Table 4. Nutrient <strong>in</strong>take<br />

Nutrient Experimental Control group Experimental Index<br />

period, days<br />

group Control=100<br />

0-30 0.11 0.12 109.09<br />

31-60 0.49 0.51 104.06<br />

Dry matter, kg 61-90 0.80 0.56 93.75<br />

0.90 0.49 0.48 97.96<br />

0-30 39 40 100.56<br />

31-60 90 94 104.40<br />

Prote<strong>in</strong>, g<br />

61-90 137 128 93.43<br />

0-90 91 91 100,00<br />

0-30 1,60 1.62 101.25<br />

31-60 3,99 4.12 103.26<br />

ME, MJ/kg 61-90 6,15 5.79 94.15<br />

0-90 4,09 4.09 100.00<br />

The consumption of dry matter per kilogram of ga<strong>in</strong> <strong>in</strong> the experimental<br />

group compared to the control group was reduced by 12.21 percent, and the<br />

consumption of prote<strong>in</strong> and energy by 10.58 percent, which confirms that the<br />

mixtures used (M<strong>in</strong>-a-Zel S and M<strong>in</strong>-a-Zel Plus) had a positive <strong>in</strong>fluence on food<br />

utili<strong>za</strong>tion efficiency. In the control group, of lambs 15 to 20 days old, five of the<br />

lambs developed a diarrhea, which occurred aga<strong>in</strong> at 60 to 68 days of life. In the<br />

experimental group of lambs there was no noticeable form of diarrhea, which is<br />

likely due to the mixtures be<strong>in</strong>g previously tested.<br />

Table 5. Nutrient utili<strong>za</strong>tion<br />

Nutrient Experimental Control group Experimental Index<br />

period, days<br />

group Control=100<br />

0-30 0.41 0.43 104.88<br />

31-6 2.51 2.28 90.84<br />

Dry matter, kg 61-90 3.58 2.80 78.21<br />

0-90 2.13 1.87 87.79<br />

0-30 145 145 100.00<br />

31-60 461 420 91.11<br />

Prote<strong>in</strong>, g<br />

61-90 614 478 77.85<br />

0-90 397 369 89.42<br />

0-30 5.95 5.87 98.65<br />

31-60 20.46 18.39 89.88<br />

ME, MJ/kg 61-90 27.58 21.60 78.32<br />

0-90 17.87 15.98 89.42<br />

549


550<br />

Conclusion<br />

J. Stojković et al.<br />

Utili<strong>za</strong>tion of zeolite-based products (M<strong>in</strong>-a-Zel S and M<strong>in</strong>-a-Zel Plus) had<br />

a positive effect on growth, utili<strong>za</strong>tion and utili<strong>za</strong>tion efficiency of dry matter,<br />

prote<strong>in</strong> and energy. Average daily ga<strong>in</strong> was higher <strong>in</strong> the experimental group, by<br />

27 g or 11.79 percent. The consumption of dry matter per kilogram of ga<strong>in</strong>, <strong>in</strong> the<br />

same group, was reduced by 12.21 percent, and of prote<strong>in</strong> and energy by 10.58<br />

percent. Lower <strong>in</strong>cidence of diarrhea was observed <strong>in</strong> the experimental group.<br />

Acknowledgements<br />

This study is part of the projects TR 31001 "An environmental approach<br />

and implementation of modern biotechnologies as a basis for the improvement of<br />

rum<strong>in</strong>ant breed<strong>in</strong>g technology", and TR 31053 "Modern biotechnology solutions<br />

<strong>in</strong> the breed<strong>in</strong>g and feed<strong>in</strong>g of cattle sheep and goats for the production of valuable<br />

and safety food" f<strong>in</strong>ancially supported by the M<strong>in</strong>istry of Education, Science and<br />

Technological Development of the Republic of Serbia.<br />

Efikasnost primene preparata na bazi zeolita u obrocima<br />

jagnjadi u tovu<br />

J. Stojković, Z. Ilić, Slavica Ćirić, B. Ristanović, M. P. Petrović, Violeta<br />

Caro Petrović, V. Kurćubić<br />

Rezime<br />

U radu su prika<strong>za</strong>ni rezultati istraživanja o uticaju preparata na bazi<br />

prirodnog zeolita na proizvodne rezultate jagnjadi u tovu. Ogled je izveden na dve<br />

grupe jagnjadi (kontrolna – K i ogledna – O), po 20 jagnjadi u trajanju od 90 dana.<br />

Obrok se sastojao od ovčjeg mleka, krmne smeše <strong>za</strong> tov jagnjadi i livadskog sena.<br />

Iskorišćavanje preparata na bazi zeolita (M<strong>in</strong>-a-Zel S i M<strong>in</strong>-a-Zel Plus) pozitivno je<br />

uticalo na prirast, iskorišćavanje i efikasnost iskorišćavanja suve materije, prote<strong>in</strong>a<br />

i energije. Prosečan dnevni prirast bio je veći kod jagnjadi ogledne grupe <strong>za</strong> 27 g ili<br />

11,79 posto. Utrošak suve materije <strong>za</strong> kilogram prirasta u istoj gupi, bio je manji <strong>za</strong><br />

12,21 posto a prote<strong>in</strong>a i energije <strong>za</strong> 10,58 posto. Manja učestalost javljanja proliva<br />

bila je kod jagnjadi ogledne gupe.


References<br />

Efficency of zeolite basis ...<br />

ADAMOVIĆ M., NEŠIĆ S., STOIČEVIĆ S., TOMAŠEVIĆ-ČANOVIĆ<br />

MAGDALENA (2001): The <strong>in</strong>fluence of M<strong>in</strong>-a-Zel Plus modified organic<br />

adsorbent on the quality of corp silage IX Yugoslav Symposium of forage crops.<br />

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(2002): The contribution of mytotox<strong>in</strong> m<strong>in</strong>eral adsorbents to the <strong>in</strong>crease of<br />

production and food quality. Eco-Conference. Novi Sad.<br />

DAKOVIĆ A., TOMAŠEVIĆ ČANOVIĆ M., RATTINGHAUS G., DONDUR V.,<br />

ĐORĐEVIĆ N., ADAMOVIĆ M., GRUBIĆ G., KOLJAJIĆ V. BOČAROV-<br />

STANČIĆ A. (2003): The <strong>in</strong>fluence of M<strong>in</strong>-a-Zel Plus on biochemical,<br />

microbiological, mucotoxicological parameters of alfalfa silage. Journal of<br />

Agriculturale Sciences, vol. 48, br. 2, str. 171-178.<br />

ILIĆ Z., PEŠEV S., SIMEONOVA VALENTINA, MILOŠEVIĆ B., SPASIĆ Z.<br />

(2005): The <strong>in</strong>fluence of zeolite type tufozel on productive characteristics of dairy<br />

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ISSN 1450-9156, Belgrade- Zemun.<br />

ILIĆ Z., PEŠEV S., MILENKOVIĆ M., MILOŠEVIĆ B. (2007): IMPACT ON<br />

THE ZEOLITE USAGE IN DIARY COWS NUTRITION TO THEIR HEALTH<br />

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VOL 23 (5-6), p, 25-33, Belgrade-Zemun.<br />

JAŠOVIĆ B., STOJKOVIĆ J., MILENKOVIĆ M., MILOŠEVIĆ B., ILIĆ Z.<br />

(2009): Uticaj m<strong>in</strong>eralne smeše sa pufernim dejstvom na proizvone rezultate<br />

jagnjadi u tovu. Agro-knowalage Jurnal, vol. 10, br. 4, 125-128.<br />

MEDAKOVIĆ V., ZARIĆ V. (2005): Adsorption of mycotox<strong>in</strong>s by<br />

organozeolites. Colloids and Surfaces B Bio<strong>in</strong>terfaces, 46 (1): 20-25.<br />

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Mikotoks<strong>in</strong>i u stočnoj hrani kao factor poremećaja zdravlja život<strong>in</strong>ja. 12<br />

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NIKKHAH A., BABAPOOR M., MORADI-SHAHRBABAK (2001): Effect of<br />

cl<strong>in</strong>optlloite – rich tuff on the performance of Varm<strong>in</strong>i male lambs. Teheran, Iran.<br />

PEŠEV S., ILIĆ Z., SIMONOVA V., MILOŠEVIĆ B., SPASIĆ Z. (2005): The<br />

<strong>in</strong>fluence of the zeolite type tufozel on dairy cows reproductive characteristics.<br />

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feeds based on natural zeolite on production results for fstten<strong>in</strong>g lambs.<br />

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STOJKOVIĆ J. (2006): M<strong>in</strong>eral substances <strong>in</strong> animal feed. Monograph. Niš.<br />

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STOJKOVIĆ M., GRUBIĆ G., ADAMOVIĆ M., MEKIĆ C., ORLOVIĆ JELENA<br />

(1999): The <strong>in</strong>fluence of zeolite on the important production results <strong>in</strong> fatten<strong>in</strong>g<br />

lambs. Collection of scientific papers, 5, 489-495.<br />

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Received 25 June 2012; accepted for publication 10 August 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 553-561, 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 637.07<br />

DOI: 10.2298/BAH1203553J<br />

THE EFFECT OF DIET SELENIUM SUPPLEMENT ON<br />

MEAT QUALITY<br />

M. Joksimović Todorović 1 , V. Davidović 1 , Lj. Sretenović 2<br />

1<br />

University of Belgrade, Faculty of Agriculture, Nemanj<strong>in</strong>a 6, 11080, Belgrade-Zemun, Republic of<br />

Serbia<br />

2<br />

<strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, 11080 Belgrade-Zemun, Republic of Serbia<br />

Correspond<strong>in</strong>g author: miratodo@agrif.bg.ac.rs<br />

Review paper<br />

Abstract: The health of farm animals depends on many factors and they<br />

all <strong>in</strong>dicate that food plays an important role <strong>in</strong> preserv<strong>in</strong>g health, improv<strong>in</strong>g<br />

reproductive and productive characteristics and function<strong>in</strong>g of immune system.<br />

Besides numerous nutritional factors, antioxidants play a special role <strong>in</strong> the<br />

struggle for survival and good health state. An oxidative stress represents a<br />

condition <strong>in</strong>duced by generat<strong>in</strong>g and react<strong>in</strong>g of reactive-oxygen species (ROS),<br />

and their toxic products, on different metabolic and physiological processes. The<br />

generat<strong>in</strong>g of ROS is <strong>in</strong>duced by both endogenous and exogenous factors. In the<br />

case of the organism <strong>in</strong>ability to expel the causative agents of oxidative stress they<br />

can damage cell lipids, prote<strong>in</strong>s or DNA thus endanger<strong>in</strong>g the cell functions. Lipid<br />

peroxidation is a process which can lead to degradation of lipids and damage of<br />

cell membrane. Selenoenzyme glutathione peroxidase can protect organism from<br />

peroxidative damages, decrease the level of malondialdehyde protect<strong>in</strong>g <strong>in</strong> this<br />

way a muscular tissue from oxidation. Recent research has shown that selenium<br />

has an effect of preserv<strong>in</strong>g sensory characteristics of meat and its texture, what is<br />

of great importance for consumers. <strong>Animal</strong> tissue <strong>in</strong>corporates supplemented<br />

selenium quickly thus it is possible to produce a selenium enriched meat and eggs.<br />

Selenium also shows positive effects on meat quality: it reduces water loss,<br />

<strong>in</strong>fluence the stability of colour, prolongs oxidative protection, and therefore the<br />

time of its shelf life.<br />

Key words: selenium, glutathione peroxidase, estimation of meat quality.<br />

Introduction<br />

A ma<strong>in</strong> source of selenium for animals are vegetable mixtures <strong>in</strong> which this<br />

microelement is found <strong>in</strong> the form of selenocyste<strong>in</strong>e and selenomethion<strong>in</strong>e. The<br />

content of selenium <strong>in</strong> plants depends on its quantity <strong>in</strong> the soil where it is present


554<br />

M. Joksimović Todorović et al.<br />

<strong>in</strong> the form of salts: selenites, selenates and selenides. Some regions are<br />

selenodefficient, so the plants from these regions conta<strong>in</strong> <strong>in</strong>sufficient quantities of<br />

selenium. Because of that the selenium can be added <strong>in</strong>to diet for animals <strong>in</strong> the<br />

form of supplement – sodium selenite, selenized yeast and selenomethion<strong>in</strong>e<br />

(Sretenović et al., 2007). The organic selenium is more deposited <strong>in</strong>to the muscle<br />

tissue and animal organs than <strong>in</strong>organic one (Todorović et al., 1999; Kim and<br />

Mahan, 2001; Joksimović Todorović et al., 2006; Behne et al., 2009; Juniper et al.,<br />

2009). Inorganic form of selenium has a role of prooxidant, but given <strong>in</strong> great<br />

quantities (< 5 mg/kg diet) can be very toxic (Seko et al., 1989; Mihailović et al.,<br />

1996a,b, 1997; Todorović et al., 1998).<br />

Lipid peroxidation is a natural process which can cause degradation of lipids,<br />

and therefore damage of cell membrane. Malondialdehyde (MDA) is one of<br />

metabolic products of lipid peroxidation which can move lipid oxidation <strong>in</strong>duced<br />

by reactive oxygen species (ROS) <strong>in</strong> tissues. Free radicals are very unsteady,<br />

reactive and able to damage DNA, prote<strong>in</strong>s, lipids and carbohydrates. Damage of<br />

DNA can potentiate mutation, translator errors, <strong>in</strong>hibition of prote<strong>in</strong> synthesis,<br />

whilst damaged prote<strong>in</strong>s can lead to changes <strong>in</strong> transport of ions and enzyme<br />

activity. By the oxidation polyunsaturated fatty acids can change membrane<br />

structure, permeability and activity of membrane enzymes. Damage of biological<br />

molecules and numerous systems endangers the health status and production<br />

abilities <strong>in</strong> animals. The activity of selenoenzymes, glutathione peroxidase protects<br />

the organism from peroxidative damages, ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g the content of MDA on low<br />

level. Reduc<strong>in</strong>g of the level of malondialdehydes and <strong>in</strong>creased activity of GSH-Px<br />

<strong>in</strong> tissues are two major <strong>in</strong>dicators of adequate protection of muscle tissue from<br />

oxidation and likely way of prolong<strong>in</strong>g the shelf life of fresh meat (Zhan et al.,<br />

2007).<br />

Water loss and meat colour are important parameters for estimation of meat<br />

quality. Organic selenium (selenized yeast) reduces water loss and can effect the<br />

stability of the colour of pork and chicken meat (Downs et al., 2000).<br />

Concentration of Se and activity of GSH-Px <strong>in</strong> some organs<br />

and muscle tissue<br />

Physiological roles of selenium are directly associated with the function of<br />

prote<strong>in</strong>s whose content it is be<strong>in</strong>g built <strong>in</strong>to via selenocyste<strong>in</strong>e am<strong>in</strong>oacid. Over 30<br />

selenoprote<strong>in</strong>s are known, but a physiological role is known for only a few of them.<br />

The first discovered enzyme is glutathione peroxidase (GSH-Px) (Rotruck et al.,<br />

1973). Glutathione peroxidase has a role <strong>in</strong> cell defence aga<strong>in</strong>st oxidative damages<br />

<strong>in</strong> animals catalys<strong>in</strong>g reduction of hydrogen peroxides and lipid peroxidation<br />

(Arthur, 2000; Skřivanová et al., 2007). The activity of GSH-Px <strong>in</strong> animal blood<br />

plasma depends on the level of selenium <strong>in</strong>take (Hassan, 1987; Todorović, 1990;


The effect of diet selenium ...<br />

Mihailović et al., 1991). Thus the activity of GSH-Px <strong>in</strong> animal blood plasma is a<br />

reliable <strong>in</strong>dicator of selenium status, but only on optimal and sub-optimal levels.<br />

Depend<strong>in</strong>g on the form of selenium, when <strong>in</strong>creas<strong>in</strong>g over necessary levels, the<br />

activity of enzymes shows the effect of plateau, so that a higher levels of Se, lead<br />

to no further <strong>in</strong>crease of activity (Joksimović Todorović and Jokić, 2005;<br />

Joksimović Todorović et al., 2005). Five forms of this enzyme have been def<strong>in</strong>ed,<br />

and they are called family: 1. cytoplasmatic – reduces hydrogen peroxide and<br />

peroxides of free fatty acids, 2. gastro<strong>in</strong>test<strong>in</strong>al – can be found <strong>in</strong> the cells of<br />

<strong>in</strong>test<strong>in</strong>al epithelium, 3. plasmatic – reacts with hydrogen peroxides, fatty acids<br />

hydroperoxides, phospholipid hydroperoxides, and has an important role <strong>in</strong><br />

antioxidative processes <strong>in</strong> blood plasma, 4. phospholipid hydroperoxide glutathione<br />

peroxidase – reduces phospholipids and cholesterol hydroperoxides and its reduced<br />

activity leads to <strong>in</strong>creased sensibility to oxidative stress and 5. glutathione<br />

peroxidase 6 – found <strong>in</strong> olfactory epithelium and embryonal tissue. They are<br />

present <strong>in</strong> almost all cells of organism, but their distibution <strong>in</strong>to tissue can manifest<br />

certa<strong>in</strong> variations. Certa<strong>in</strong> factors: an <strong>in</strong>dividual, age, sex, season and cyclic<br />

changes can control the activity of enzymes, while lately there has been some talk<br />

about genetic regulation.<br />

Certa<strong>in</strong> sw<strong>in</strong>e organs (kidney, liver, spleen) have fifteen times greater activity<br />

of GSH-Px than muscle tissue or diaphragm (Daun and Åkesson, 2004). However,<br />

<strong>in</strong> beef treated by the same levels of Se, the activity of this selenoenzyme was three<br />

times lower. The activity of GSH-Px <strong>in</strong> organs and muscle tissue <strong>in</strong> pigs reaches<br />

plateau at 0.2 mgSe/kg diet (Lei et al., 1998). This shows that add<strong>in</strong>g of selenium<br />

<strong>in</strong>to animal diet is an important factor of control of the activity of GSH-Px,<br />

however the response can be modulated by specific factors of tissues. The<br />

locali<strong>za</strong>tion of selenium <strong>in</strong> each tissue is complex. Total selenium is found <strong>in</strong><br />

soluble and <strong>in</strong>soluble form. Greater activity of GSH-Px <strong>in</strong> sw<strong>in</strong>e than <strong>in</strong> bov<strong>in</strong>e<br />

organs show that both forms of selenium (soluble and <strong>in</strong>soluble) are more<br />

deposited <strong>in</strong> selenoenzyme sw<strong>in</strong>e organs. In bulls the concentration of Se <strong>in</strong> meat is<br />

<strong>in</strong>creas<strong>in</strong>g from 0.107 µg/g to 0. 223 µg/g when 4 mg Se daily is added <strong>in</strong>to diet<br />

for thirty days (Simek et al., 2002). Se-yeast supplementation to the diet of calves<br />

for veal production at a level of 0.5 mg/kg <strong>in</strong>creased Se levels <strong>in</strong> muscle and<br />

<strong>in</strong>creased GSH-Px activity <strong>in</strong> muscle and liver (Skřivanová et al., 2007). Chicken<br />

meat shows different content of Se. In chicks <strong>in</strong>organic selenium is deposited <strong>in</strong><br />

muscle tissue <strong>in</strong> very little quantites, and because of that a commercial success can<br />

be atta<strong>in</strong>ed by selenized yeast (Arnold et al., 1973). The effect of add<strong>in</strong>g selenium<br />

<strong>in</strong>to chicks diet is associated mostly with its participation <strong>in</strong> preserv<strong>in</strong>g<br />

antioxidative system of cells.<br />

In gilts fed different levels of organic selenium - 0, 0.3 and 0.6 mg/kg diet, the<br />

highest content of selenium is found <strong>in</strong> kidneys, followed by liver and heart, while<br />

the lowest one is found <strong>in</strong> leg and neck musculature, what can be seen <strong>in</strong> records<br />

shown <strong>in</strong> Table 1 (Joksimović Todorović et al., 2006). In the liver the concentration<br />

555


556<br />

M. Joksimović Todorović et al.<br />

of selenium was 3-4 times lower, and <strong>in</strong> heart musculature even up to 6 times lower<br />

than <strong>in</strong> kidneys. The concentration of selenium <strong>in</strong> leg and neck musculature was<br />

two, that is, three times higher <strong>in</strong> gilts fed 0.3 and 0.6 mg Se/kg diet <strong>in</strong> relation to<br />

control group. These results are <strong>in</strong> harmony with the results obta<strong>in</strong>ed by other<br />

authors (Mahan et al., 1999; Pavlata et al., 2001; Yaroshenko et al., 2004).<br />

Table 1. Effects of different dietary levels of selenium on its concentration <strong>in</strong> some tissues,<br />

mg/kg<br />

Group<br />

Tissues<br />

Control (0mgSe/kg food) I (0,3 mgSe/kg food) II (0,6 mgSe/kg food)<br />

mg/kg % mg/kg % mg/kg %<br />

Kidney 1.23 100 1.26 102 1.38 112<br />

Liver 0.337 a<br />

Heart 0.180 a<br />

Leg musculature 0.093 a<br />

Neck musculature 0.090 a<br />

100 0.424 ac<br />

100 0.224 ac<br />

100 0.191 ac<br />

100 0.164 ac<br />

Differences between a and b statistically highly significant (P


The effect of diet selenium ...<br />

electrostatic aversion between filaments, the space between them is be<strong>in</strong>g reduced<br />

what leads to shr<strong>in</strong>kage of myofibrils. The <strong>in</strong>tegrity of the membrane of muscle<br />

cells is be<strong>in</strong>g deteriorated and therefore its semipermeability (Ashgar et al., 1991)<br />

as well. The quantity of water loss depends on the level of lipid peroxidation<br />

(Macit et al., 2003). A slight <strong>in</strong>crease of pH value affects the activity of GSH-Px<br />

and decreases the content of malondialdehyde, and therefore a water loss <strong>in</strong> the<br />

lo<strong>in</strong>s musculature, <strong>in</strong> the groups of piglets treated with selenomethion<strong>in</strong>e (Zhan et<br />

al., 2007). However, there are some discrepancies among certa<strong>in</strong> authors. Mahan et<br />

al. (1999) po<strong>in</strong>t to the fact that organic selenium has no effect on the quality of pig<br />

meat, whilst the <strong>in</strong>organic Se has a harmful effect. These discrepancies between<br />

authors regard<strong>in</strong>g the effect of Se on the quality of meat could be a consequence of<br />

supplementation of different levels of Se or ignorance of halothane genetic status <strong>in</strong><br />

piglets.<br />

However, research of Zhan et al. (2007) shows that add<strong>in</strong>g 0.3 mgSe/kg diet <strong>in</strong><br />

the form of selenomethion<strong>in</strong>e <strong>in</strong> piglets, stabilizes better a p<strong>in</strong>k colour of meat than<br />

the same quantity of Na-selenite. The colour of meat depends on pH or on the<br />

content of myoglob<strong>in</strong>es (James et al., 2002), and also on the oxidation of<br />

myoglob<strong>in</strong>es <strong>in</strong>to metmyoglob<strong>in</strong>es. Supplementation of Se <strong>in</strong> diet has no effect on<br />

the content of myoglob<strong>in</strong>es, however it moderately <strong>in</strong>creases pH value,<br />

significantly <strong>in</strong>creases the activity of GSH-Px and reduces the level of MDA <strong>in</strong><br />

muscle tissue. Selenomethion<strong>in</strong>e is an efficient "collector" of strong oxidant<br />

perox<strong>in</strong>itrites, which produce nitrogen oxides and superoxides. It provides efficient<br />

protection for biomolecules aga<strong>in</strong>st oxidations and nitrite reactions.<br />

Baowei et al. (2011) confirmed that add<strong>in</strong>g of different levels of selenized<br />

yeast <strong>in</strong>to diets for geese (0.1, 0.3 and 0.5 mg/kg) improved significantly the<br />

quality of breast musculature by the reduction of water loss, <strong>in</strong>creased toughness of<br />

musculature and <strong>in</strong>crease <strong>in</strong> the content of myoglob<strong>in</strong>es. These authors established<br />

that add<strong>in</strong>g selenoized yeast <strong>in</strong> the quantity of 0.3 mg/kg diet is an optimal dose for<br />

adequate antioxidative protection <strong>in</strong> geese. Also, Perić et al. (2009) established that<br />

supplement of selenized yeast <strong>in</strong>to broiler diets led to lower water loss <strong>in</strong> meat.<br />

Conclusion<br />

In difference to <strong>in</strong>organic selenium, organic selenium is deposited more<br />

effectively <strong>in</strong> tissues. It provides antioxidative protection, preserves the <strong>in</strong>tegrity of<br />

cell membranes, reduces water loss <strong>in</strong> fresh meat dur<strong>in</strong>g thermal process<strong>in</strong>g and is<br />

a stabili<strong>za</strong>tor of meat colour. This shows that organic selenium provides quality<br />

meat, has an effect on freshness and therefore prolongs shelf life of meat. Chicken<br />

meat enriched with selenium can satisfy 50% needs for selenium <strong>in</strong> humans by<br />

consum<strong>in</strong>g 100 g daily. Selenium both improves the health of animals and provides<br />

quality meat for consumers.<br />

557


558<br />

Acknowledgment<br />

M. Joksimović Todorović et al.<br />

This work was f<strong>in</strong>anced by the M<strong>in</strong>istry of Education, Science and Technological<br />

Development, Republic of Serbia, project TR 31086: Optimisation of technological<br />

procedure and zootechnical resources on farms with the aim of improv<strong>in</strong>g the<br />

susta<strong>in</strong>ability of milk production.<br />

Efekat dodavanja selena u hranu na kvalitet mesa<br />

M. Joksimović Todorović, V. Davidović, Lj. Sretenović<br />

Rezime<br />

Zdravlje život<strong>in</strong>ja <strong>za</strong>visi od brojnih faktora, a sve ukazuje da hrana ima važnu<br />

ulogu u očuvanju zdravlja, poboljšanju reproduktivnih i proizvodnih karakteristika<br />

i funkcionisanju imunskog sistema. Pored brojnih hranidbenih faktora,<br />

antioksidansi imaju posebnu ulogu u borbi <strong>za</strong> opstanak i dobro zdravstveno stanje.<br />

Oksidativni stres je stanje i<strong>za</strong>zvano stvaranjem i reagovanjem reaktiv-oksigen vrsta<br />

(ROS) i njihovih toksičnih produkata na različite metaboličke i fiziološke procese.<br />

Stvaranje ROS i<strong>za</strong>zivaju endogeni i egzogeni faktori. Ukoliko organi<strong>za</strong>m nije u<br />

stanju da otkloni uzročnike oksidativnog stresa oni mogu da oštete ćelijske lipide,<br />

prote<strong>in</strong>e ili DNA, a time da ugroze funkcije ćelija. Lipidna peroksidacija je proces<br />

koji dovodi do degradacije lipida i oštećenja ćelijske membrane. Selenoenzim<br />

glutation peroksida<strong>za</strong> štiti organi<strong>za</strong>m od peroksidativnih oštećenja, smanjuje nivo<br />

malondialdehida i na taj nač<strong>in</strong> štiti mišićna tkiva od oksidacije. Izučavanja<br />

poslednjih god<strong>in</strong>a ukazuju da selen utiče na očuvanje senzornih karakteristika mesa<br />

i njegove teksture, što je od velikog značaja <strong>za</strong> konzumente. Život<strong>in</strong>jsko tkivo brzo<br />

<strong>in</strong>korporira dodati selen i tako je moguće proizvesti selenom obogaćeno meso i<br />

jaja. Selen ispoljava pozitivne efekte i na kvalitet mesa: redukuje gubitak tečnosti,<br />

utiče na postojanost boje, produžava oksidativnu <strong>za</strong>štitu, a time i vreme njegove<br />

upotrebe.<br />

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Received 14 May 2012; accepted for publication 10 July 2012<br />

561


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 563-573 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 637.04<br />

DOI: 10.2298/BAH1203563T<br />

FATTY ACID PROFILE IN RAINBOW TROUT<br />

(ONCORHYNCHUS MYKISS) AS INFLUENCED BY DIET<br />

D. Trbović, D. Vranić, J. Dj<strong>in</strong>ovic-Stojanović, V. Matekalo-Sverak, V.<br />

Djordjević, D. Spirić, J. Babić, R. Petronijević, A. Spirić<br />

<strong>Institut</strong>e of Meat Hygiene and Technology, Kacanskog 13, 11000 Belgrade, Serbia<br />

Correspond<strong>in</strong>g author: aurelija@<strong>in</strong>mesbgd.com<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: With the aim of re<strong>in</strong>forcement S&T capacities <strong>in</strong> aquaculture,<br />

studies on the <strong>in</strong>fluence of three commercial pelleted diets on fatty acid profile <strong>in</strong><br />

ra<strong>in</strong>bow trout production were undertaken. Commercial diets for ra<strong>in</strong>bow trout<br />

conta<strong>in</strong>ed significantly different quantities of saturated fatty acids (SFA), (p


564<br />

D. Trbović et al.<br />

world (Williams, 1998). Nutritional and health benefits achieved by consumption<br />

of fish <strong>in</strong>creased the demand of these products on the market (Burger and<br />

Gochfeld, 2009). Prote<strong>in</strong>s of high biological value, low fat content and relatively<br />

low cholesterol content, as well as valuable quantities of essential fatty acids makes<br />

fish one of the most appreciable food stuffs <strong>in</strong> human nutrition (Conor, 2000;<br />

Sidhu, 2003).<br />

Nutritional value of different fish species from aquaculture might be<br />

considered as valuable as nutritional value of fish species from open waters<br />

(Weaver et al., 2008). However, some fish species from <strong>in</strong>land aquaculture are<br />

more capable than mar<strong>in</strong>e fish to desaturate and elongate C18 polyunsaturated fatty<br />

acids to valuable highly unsaturated fatty acids, EPA (eicosapentaenoic acid) and<br />

DHA (docasahexaenoic acid), even when their feed is less rich <strong>in</strong> these fatty acids<br />

(Tocher et al., 2004).<br />

It has been proved that nutritional value of fish can vary due to species,<br />

diet, location, environmental conditions, age, etc (Petterson et al., 2009; Sicuro et<br />

al., 2010). In farmed trout, where environmental conditions are more constant<br />

throughout the year, development and fish growth as well as fatty acid profile is<br />

more affected by food supply (Almeida et al., 2011). Many literature data <strong>in</strong>dicate<br />

to a strong connection between fish diet and fatty acid profile of fish. (Caballero et<br />

al., 2002; Valente et al., 2007) Under the same rear<strong>in</strong>g conditions, feed reach <strong>in</strong> n-<br />

3 PUFAs significantly <strong>in</strong>crease the n-3/n-6 ratio <strong>in</strong> fish (Skalli and Rob<strong>in</strong>, 2004).<br />

Ra<strong>in</strong>bow trout is a salmonid fish species orig<strong>in</strong>at<strong>in</strong>g from the tributaries of<br />

the Pacific Ocean <strong>in</strong> Asia and North America. This fish species has been<br />

<strong>in</strong>troduced for food <strong>in</strong> many countries from almost all cont<strong>in</strong>ents. Aquaculture of<br />

salmonid fish species started to grow exponentially <strong>in</strong> 1950s, particularly <strong>in</strong><br />

Europe. In Norway, the ocean cage production of salmon trout to supply export<br />

markets started to expand, while <strong>in</strong>land production of ra<strong>in</strong>bow trout has <strong>in</strong>creased<br />

<strong>in</strong> many European countries to support domestic markets.<br />

Aquaculture as a country economy <strong>in</strong> Serbia is ma<strong>in</strong>ly related to carp<br />

(Cypr<strong>in</strong>us carpio) and ra<strong>in</strong>bow trout (Oncorhynchus mykiss) production (Trbović et<br />

al., 2009; Vranić et al., 2011). Ra<strong>in</strong>bow trout production presents close to 15% of<br />

the national aquaculture and has been developed on mounta<strong>in</strong> areas, abundant <strong>in</strong><br />

cold spr<strong>in</strong>g waters. However, ra<strong>in</strong>bow trout production still rema<strong>in</strong>s on low<br />

technical and technological level due to lack of <strong>in</strong>vestment <strong>in</strong> aquaculture. With the<br />

aim of re<strong>in</strong>forcement S&T capacities <strong>in</strong> aquaculture, studies on the <strong>in</strong>fluence of<br />

commercial pelleted diets on fatty acid profile <strong>in</strong> ra<strong>in</strong>bow trout production were<br />

undertaken.<br />

Materials and Methods<br />

The <strong>in</strong>tensive fish farm<br />

Samples of ra<strong>in</strong>bow trout (Oncorhynchus mykiss) were collected from an<br />

<strong>in</strong>tensive fish farm located 931 m above sea level, on the mounta<strong>in</strong>s area of


Fatty acid profile <strong>in</strong> ...<br />

Zlatibor, Serbia. Water of potable quality is captured directly from the spr<strong>in</strong>g and,<br />

by gravity force, through channel system, is directed to the farm, with a capacity of<br />

500 l/s. The annual level of production is about 450 t of fish.<br />

<strong>Animal</strong>s and sampl<strong>in</strong>gs<br />

Ra<strong>in</strong>bow trout was manually fed commercial extruded s<strong>in</strong>k<strong>in</strong>g pelleted<br />

diets, accord<strong>in</strong>g to good aquaculture practice. Based on specifications, Diet I<br />

consisted of fish meal (17%), blood meal (13%), fish oil (10%) and other<br />

<strong>in</strong>gredients, like oil seed cakes and soybean, rapeseed, and sunflower meals. Diet II<br />

consisted of fish meal (27%), soybean products and other <strong>in</strong>gredients like chops<br />

from soybean extraction, extruded soybean seed, soybean prote<strong>in</strong> concentrate,<br />

wheat, rapeseed chops, and oils (rapeseed, fish and palm oil). Diet III consisted of<br />

fish meal, soybean prote<strong>in</strong> products, corn, wheat, m<strong>in</strong>erals and vitam<strong>in</strong>s.<br />

Marketable size fish, 30-35 cm length and 250- 300 g weight, were<br />

sampled. Dur<strong>in</strong>g each sampl<strong>in</strong>g, six fishes were collected along with the<br />

appropriate feed (n=6). Fish fillets, obta<strong>in</strong>ed after evisceration and previous<br />

deprivation of sk<strong>in</strong>, tail, head, f<strong>in</strong>s and bones were homogenized <strong>in</strong> a laboratory<br />

blender (Braun CombiMax 600), separately placed <strong>in</strong> plastic bags and stored at -<br />

25°C until analyzed. A day before analysis samples were defrosted overnight, at<br />

+4°C.<br />

Chemicals and standards<br />

Analytical-grade solvents were obta<strong>in</strong>ed from Merck (Darmstadt,<br />

Germany) and Sigma Aldrich (Germany). Reagent for derivati<strong>za</strong>tion of fatty acids<br />

(TMSH 0.25 M <strong>in</strong> methanol) was purchased from Fluka. Fatty acid standards were<br />

supplied by Supelco (Bellefonte, USA), (Supelco 37 comp. FAME mix 10 mg mL -1<br />

<strong>in</strong> CH2Cl2).<br />

More detailed data on the extraction of lipids by accelerated solvent<br />

extraction (ASE) and on fatty acids capillary gas chromatography determ<strong>in</strong>ation<br />

are presented <strong>in</strong> our previous publications (Spirić et al., 2009; Spirić et al., 2010).<br />

A brief review of accelerated solvent extraction of lipids and fatty acids<br />

determ<strong>in</strong>ation is presented below.<br />

Accelerated solvent extraction (ASE) of lipids<br />

Total lipids for FA determ<strong>in</strong>ation were extracted from fish muscle by ASE<br />

(ASE 200, Dionex, Sunnyvale, CA). Extraction was performed <strong>in</strong> 33 mL sta<strong>in</strong>less<br />

steel extraction cells filled with diatomaceous earth, at 100ºC, under 10.3 MPa<br />

nitrogen pressure, with a mixture of n-hexane and iso-propanol (60:40 v/v), <strong>in</strong> two<br />

static cycles. Solvent was removed under stream of nitrogen (Dionex Solvent<br />

evaporator 500), at 50°C.<br />

Determ<strong>in</strong>ation of fatty acids by GC/FID<br />

565


566<br />

D. Trbović et al.<br />

After ASE extraction of total lipids and their transesterification by<br />

trimethylsulfonium hydroxide (EN ISO 5509:2000), fatty acids have been<br />

determ<strong>in</strong>ed, as methyl esters, by Shimadzu 2010 capillary gas chromatograph<br />

equipped with flame ioni<strong>za</strong>tion detector (GC/FID) and cianopropyl-aryl HP-88<br />

capillary column. Chromatographic peaks <strong>in</strong> the extracts were identified by<br />

compar<strong>in</strong>g relative retention times of FAME peaks with peaks <strong>in</strong> the Supelco 37<br />

Component FAMEs mix standard. Quantification was performed by us<strong>in</strong>g<br />

heneicosanoic acid methyl ester as the <strong>in</strong>ternal standard. The total share of SFA,<br />

MUFA and PUFA consisted of weight percentages of the appropriate <strong>in</strong>dividual<br />

fatty acids (Pavlovski et al., 2011).<br />

Statistical analysis<br />

For data analysis UnscramblerX statistical software (CamoSoft, Norway)<br />

was used. Means with<strong>in</strong> each group were compared with ANOVA and Tukey -<br />

Kramer’s multiple range tests.<br />

Results and Discussion<br />

Data obta<strong>in</strong>ed for fatty acid composition (% of total fatty acids) of ra<strong>in</strong>bow<br />

trout diets are presented <strong>in</strong> Table 1.<br />

The obta<strong>in</strong>ed data <strong>in</strong>dicate that the predom<strong>in</strong>ant fatty acids <strong>in</strong> all fish diets<br />

were palmitic (C16:0), palmitoleic (C16:1), oleic (C18:1cis-9), l<strong>in</strong>oleic (C18:2 n-<br />

6), EPA and DHA fatty acid. Commercial diets for trout conta<strong>in</strong>ed significantly<br />

different quantities of SFAs, p


Fatty acid profile <strong>in</strong> ...<br />

Table 1. Fatty acid composition (% of total fatty acids) of marketable size trout diets (mean ±<br />

standard deviation)<br />

Fatty acids Diet I Diet II Diet III<br />

14:0 4.29±0.01 B<br />

4.35±0.05 B<br />

6.45±0.02 A<br />

15:0 0.36±0.03 AB<br />

0.33±0.01 B<br />

0.41±0.02 A<br />

16:0 13.10±0.04 C<br />

28.15±0.20 A<br />

19.18±0.02 B<br />

16:1 4.76±0.02 B<br />

4.79±0.02 B<br />

7.33±0.02 A<br />

17:0 0.28±0.03 A<br />

0.28±0.01 A<br />

0.30±0.01 A<br />

17:1 0.77±0.02 B<br />

0.61±0.03 C<br />

1.00±0.01 A<br />

18:0 2.64±0.02 C<br />

5.00±0.04 A<br />

3.84±0.36 B<br />

18:1cis-9 34.82±0.05 A<br />

19.40±0.16 B<br />

18.20±0.13 C<br />

18:1cis-11 3.14±0.02 B<br />

3.35±0.10 B<br />

3.96±0.04 A<br />

18:2 n-6 12.21±0.12 A<br />

12.02±0.37 A<br />

8.06±0.06 B<br />

18:3 n-6 0.06±0.01 C<br />

0.12±0.01 B<br />

0.14±0.01 A<br />

18:3 n-3 5.12±0.06 A<br />

1.33±0.01 C<br />

1.89±0.01 B<br />

20:0 0.35±0.01 B<br />

0.40±0.01 A<br />

0.19±0.01 C<br />

20:1 1.46±0.03 B<br />

1.14±0.01 C<br />

2.38±0.04 A<br />

20:2 0.16±0.04 B<br />

0.19±0.06 B<br />

0.41±0.02 A<br />

20:3 n-6 0.54±0.04 A<br />

0.42±0.20 A<br />

0.47±0.12 A<br />

20:3 n-3 1.35±0.01 B<br />

1.00±0.05 B<br />

2.51±0.20 A<br />

22:1+20:4 0.62±0.01 B<br />

1.24±0.18 A<br />

1.04±0.02 AB<br />

20:5 n-3 8.69±0.02 B<br />

9.11±0.26 B<br />

11.36±0.45 A<br />

22:5 n-3 1.11±0.02 C<br />

1.24±0.04 B<br />

2.39±0.01 A<br />

22:6 n-3 3.90±0.02 C<br />

5.30±0.25 B<br />

8.18±0.41 A<br />

24:1 0.27±0.02 B 0.29±0.01 B 0.35±0.02 A<br />

SFA 21.02±0.11 C<br />

38.50±0.19 A<br />

30.35±0.35 B<br />

MUFA 45.21±0.04 A<br />

29.56±0.19 C<br />

33.21±0.12 B<br />

PUFA 33.73±0.18 B<br />

31.95±0.01 C<br />

36.43±0.46 A<br />

n-3 20.16±0.12 B<br />

17.97±0.45 C<br />

26.33±0.69 A<br />

n-6 13.58±0.07 A<br />

13.98±0.44 A<br />

10.10±0.23 B<br />

n-3/n-6 1.49±0.01 B<br />

1.29±0.07 B<br />

2.61±0.13 A<br />

A, B, C : values <strong>in</strong> the same row with different superscript are significantly different (p


568<br />

D. Trbović et al.<br />

Table 2. Fatty acid composition of fish lipids (% of total fatty acids) <strong>in</strong> marketable size trout<br />

(mean ± standard deviation)<br />

Fatty acids Pond I Pond II Pond III<br />

14:0 3.33±0.26 B<br />

15:0 0.15±0.02 C<br />

16:0 15.61±0.83 C<br />

16:1 4.83±0.27 B<br />

17:0 0.20±0.02 B<br />

17:1 0.53±0.05 AB<br />

18:0 3.23±0.22 B<br />

18:1cis-9 31.89±1.65 A<br />

18:1cis-11 3.18±0.08 B<br />

18:2 n-6 10.97±0.61 A<br />

18:3 n-6 0.10±0.02 B<br />

18:3 n-3 2.98±0.30 A<br />

20:1 2.74±0.28 A<br />

20:2 0.61±0.05 A<br />

20:3 n-6 0.54±0.04 A<br />

20:3 n-3 2.14±0.24 A<br />

22:1+20:4 0.99±0.07 A<br />

20:5 n-3 3.73±0.57 A<br />

22:5 n-3 1.87±0.31 A<br />

22:6 n-3 10.39±1.71 A<br />

24:1 0.33±0.03 A<br />

SFA 22.17±1.11 C<br />

MUFA 43.50±2.10 A<br />

PUFA 34.33±2.66 A<br />

n-3 21.12±2.52 A<br />

n-6<br />

n-3/n-6<br />

13.21±0.65 A<br />

1.60±0.20 A<br />

2.82±0.64 B<br />

0.26±0.05 B<br />

20.39±2.62 B<br />

3.72±1.16 B<br />

0.22±0.03 B<br />

0.35±0.16 B<br />

4.91±1.29 A<br />

29.13±4.18 A<br />

4.15±0.48 A<br />

10.09±1.34 A<br />

0.10±0.02 B<br />

2.00±0.39 B<br />

2.68±0.20 A<br />

0.52±0.09 AB<br />

0.36±0.10 B<br />

2.23±0.23 A<br />

1.22±0.22 A<br />

2.95±0.64 A<br />

1.79±0.70 A<br />

9.78±2.15 AB<br />

0.33±0.07 A<br />

28.63±3.47 B<br />

40.36±2.59 A<br />

31.04±4.86 AB<br />

18.75±3.47 AB<br />

12.29±1.08 A<br />

1.52±0.23 A<br />

4.63±0.45 A<br />

0.38±0.01 A<br />

24.65±2.89 A<br />

5.94±0.60 A<br />

0.30±0.02 A<br />

0.60±0.13 A<br />

5.67±1.12 A<br />

21.90±2.00 B<br />

4.45±0.26 A<br />

10.50±0.86 A<br />

0.16±0.02 A<br />

1.56±0.27 C<br />

1.71±0.32 B<br />

0.42±0.04 B<br />

0.28±0.02 B<br />

2.21±0.37 A<br />

1.10±0.22 A<br />

4.26±0.71 A<br />

1.52±0.36 A<br />

7.53±0.41 B<br />

0.39±0.07 A<br />

35.63±3.61 A<br />

35.00±2.89 B<br />

29.38±1.44 B<br />

17.08±1.32 B<br />

12.30±0.85 A<br />

1.39±0.14 A<br />

A, B, C : values <strong>in</strong> the same row with different superscript are significantly different (p


Fatty acid profile <strong>in</strong> ...<br />

The highest content of palmitic acid was determ<strong>in</strong>ed <strong>in</strong> trout from Pond III<br />

(24.65%) and the lowest <strong>in</strong> fish from Pond I (15.61%). The content of oleic acid<br />

was the highest <strong>in</strong> fish from Pond I (31.89%) and the lowest <strong>in</strong> fish from Pond III<br />

(21.90%). Significantly lower proportion of l<strong>in</strong>oleic acid <strong>in</strong> Diet III (p0.05), (2.95-4.26%).<br />

The highest content of DHA was established <strong>in</strong> fish fed Diet I (10.39%) and the<br />

lowest <strong>in</strong> fish fed Diet III (7.53%). Generally, the content of DHA <strong>in</strong> trout was<br />

higher than <strong>in</strong> diets, while EPA content was lower, what is <strong>in</strong> accordance with data<br />

obta<strong>in</strong>ed by Kalyoncu et al. (2010), (EPA: 3.11-5.52%; DHA: 6.98-17.57%). Data<br />

we obta<strong>in</strong>ed reflects the fact that fish selectively deposit DHA <strong>in</strong> the body, as<br />

established by Henderson (1996) and Sargent et al. (2002).<br />

The amounts of SFAs <strong>in</strong> trout were significantly different and ranged from<br />

22.17 (Pond I) to 35.63%, (Pond III). Quantities of MUFA were <strong>in</strong> the range from<br />

35.00 (Pond III) to 43.50% (Pond I). The proportions of PUFA ranged from 29.38<br />

(Pond III) to 34.33%, (Pond I). Significant differences (p


570<br />

Conclusions<br />

D. Trbović et al.<br />

Significant differences (p


Fatty acid profile <strong>in</strong> ...<br />

respektivno. Odnos n-3/n-6 bio je u opsegu 1,29- 2,61. Od ZMK (ukupno ZMK:<br />

22,17-35,63%), u uzorcima ribe, naj<strong>za</strong>stupljenija je bila palmit<strong>in</strong>ska kisel<strong>in</strong>a<br />

(C16:0), (15,61-24,65%). Ole<strong>in</strong>ska kisel<strong>in</strong>a (C18:1 cis-9) je bila naj<strong>za</strong>stupljenija u<br />

grupi MNZMK (21,90-31,89%), (ukupno MNZMK: 35,00-43,50%). Od<br />

pol<strong>in</strong>e<strong>za</strong>sićenih masnih kisel<strong>in</strong>a (ukupno PNZMK: 29,38-34,33%), l<strong>in</strong>olenska<br />

kisel<strong>in</strong>a (C18:2 n-6), (10,09-10,97%), EPA (C20:5 n-3), (2,95-4,26%) i DHA<br />

(C22:6 n-3), (7,53-10,39%) su bile prisutne u značajnim količ<strong>in</strong>ama u pastrmci.<br />

Količ<strong>in</strong>e n-3 masnih kisel<strong>in</strong>a bile su u opsegu 17,08 do 21,12%, a značajne razlike<br />

(p0,05).<br />

Odnos n-3 i n-6 bio je u opsegu 1,39 do 1,60 i, takođe, nisu ustanovljene značajne<br />

razlike (p>0,05). Dobijeni rezultati ukazuju da se sastav masnih kisel<strong>in</strong>a hrane<br />

odražava na sastav masnih kisel<strong>in</strong>a ribe, sa varijacijama koje ukazuju da je<br />

ugradnja masnih kisel<strong>in</strong>a u tkivu ribe uslovljena određenim metaboličkim efektima.<br />

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l<strong>in</strong>oleic acid <strong>in</strong> diets for large-size ra<strong>in</strong>bow trout (Oncorhynchus mykiss): effects on<br />

growth, chemical composition and sensory attributes. British Journal of Nutrition,<br />

97, 289–297.<br />

VRANIĆ D., ĐINOVIĆ-STOJANOVIĆ J., SPIRIĆ A. (2011): Ra<strong>in</strong>bow trout<br />

(Oncorhynchus Mykiss) from aquaculture – meat quality and importance <strong>in</strong> the<br />

diet. Meat Technology 52, 122-133.<br />

WEAVER K.L., IVESTER P., CHILTON J.A., WILSON M.D., PANDEY P.,<br />

CHILTON F.H. (2008): The content of favorable and unfavorable polyunsaturated<br />

fatty acids found <strong>in</strong> commonly eaten fish. Journal of the American Dietetic<br />

Association, 108, 1178–1185.<br />

WILLIAMS N. (1998): Over fish<strong>in</strong>g disrupts entire ecosystems. Science, 279, 809-<br />

815.<br />

Received 27 June 2012; accepted for publication 15 September 2012<br />

573


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 575-584 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 638.1<br />

DOI: 10.2298/BAH1203575A<br />

STUDIES ON WINGS SYMMETRY AND HONEY BEE<br />

RACES DISCRIMINATION BY USING STANDARD AND<br />

GEOMETRIC MORPHOMETRICS<br />

H. F. Abou-Shaara, A. A. Al-Ghamdi<br />

Baqshan`s Chair for Bee Research, K<strong>in</strong>g Saud University, P.O.Box. 2460, Riyadh 11451, Saudi<br />

Arabia<br />

Correspond<strong>in</strong>g author: entomology_20802000@yahoo.com<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: Morphometric is an essential tool for honey bee races<br />

discrim<strong>in</strong>ation and characteri<strong>za</strong>tion. Such vital tool has been applied widely <strong>in</strong><br />

honey bee researches. Unfortunately there is no available literature for confirm<strong>in</strong>g<br />

honey bee w<strong>in</strong>gs symmetry. Therefore, standard and geometric morphometric<br />

analyses were employed for <strong>in</strong>vestigat<strong>in</strong>g w<strong>in</strong>gs symmetry as well as for<br />

discrim<strong>in</strong>at<strong>in</strong>g between Carniolan and Yemeni honey bees. Moreover, three angles<br />

of h<strong>in</strong>d w<strong>in</strong>gs (H1, H2 and H3) were evaluated <strong>in</strong> the discrim<strong>in</strong>ation between the<br />

two races. Results of morphometric analyses strongly confirmed the symmetry of<br />

honey bee w<strong>in</strong>gs. Standard and geometric morphometric analyses successfully<br />

discrim<strong>in</strong>ate between the two races. H<strong>in</strong>d w<strong>in</strong>g length and angle H3 could be<br />

<strong>in</strong>corporated <strong>in</strong> honey bee races discrim<strong>in</strong>ation.<br />

Key words: honey bee, morphometry, symmetry, w<strong>in</strong>gs<br />

Introduction<br />

The common method for the characteri<strong>za</strong>tion and classification of honey<br />

bee subspecies is based ma<strong>in</strong>ly on measur<strong>in</strong>g honey bee w<strong>in</strong>g characters, which<br />

were considered as strong tool (Rattanawannee et al., 2010). Various honey bee<br />

colonies, races and species were discrim<strong>in</strong>ated by employ<strong>in</strong>g morphometric<br />

analysis (Moradi and Kandemir, 2004; Ra<strong>in</strong>a and Kimbu, 2005; Farhoud and<br />

Kence, 2005; Shaibi et al., 2009; Rattanawannee et al., 2010; Nedić et al., 2011).<br />

Standard morphometric was used <strong>in</strong> honey bee studies by measur<strong>in</strong>g different w<strong>in</strong>g<br />

angles, <strong>in</strong>dices and distances (Ruttner, 1988) while geometric morphometric was<br />

used <strong>in</strong> honey bee studies by measur<strong>in</strong>g the coord<strong>in</strong>ates of fore w<strong>in</strong>g po<strong>in</strong>ts to<br />

calculate the centroid size (s, Tofilski, 2008). Not many studies were done on<br />

geometric morphometric of honey bees.<br />

Concern<strong>in</strong>g h<strong>in</strong>d w<strong>in</strong>gs, only h<strong>in</strong>d w<strong>in</strong>g distances and number of hooks<br />

were used widely dur<strong>in</strong>g morphometric studies ( Moradi and Kandemir, 2004 and


576<br />

H. F. Abou-Shaara et al.<br />

Abou-Shaara et al., 2012) but no h<strong>in</strong>d w<strong>in</strong>g angles were <strong>in</strong>corporated <strong>in</strong> the<br />

morphometric analysis previously. W<strong>in</strong>g characters were found to be affected by<br />

different factors e.g. temperature (Tan et al., 2005), season (Mattu and Verma,<br />

1984) and bee age (Herbert et al.,1988).<br />

The right fore and h<strong>in</strong>d w<strong>in</strong>gs were used by some authors dur<strong>in</strong>g their<br />

morphometric analysis (Nazzi, 1992; Andere et al., 2008; Uzunov et al., 2009;<br />

Mladenović et al., 2011 and Abou-Shaara et al., 2012) while left w<strong>in</strong>gs were used<br />

by others (Bouga and Hatj<strong>in</strong>a, 2005 and Tofilski, 2008). Fluctuat<strong>in</strong>g asymmetry<br />

and directional asymmetry were studied by some authors (Smith et al., 1997 and<br />

Schneider et al., 2003). Smith et al.(1997) found that honey bee drones were with<br />

higher directional asymmetry than females while Schneider et al. (2003) found<br />

higher fluctuation asymmetry of shape for European and hybrid workers than for<br />

African workers. The symmetry of left and right w<strong>in</strong>gs is the normal hypothesis as<br />

far there is no any malformations or abnormalities with<strong>in</strong> w<strong>in</strong>gs. However, there<br />

are no available literatures that can confirm honey bee w<strong>in</strong>gs symmetry. Thus,<br />

standard and geometric morphometrics were employed <strong>in</strong> comb<strong>in</strong>ation with<br />

various computer softwares for <strong>in</strong>vestigat<strong>in</strong>g w<strong>in</strong>gs symmetry and for<br />

discrim<strong>in</strong>at<strong>in</strong>g between Carniolan and Yemeni honey bees. Moreover, three h<strong>in</strong>d<br />

w<strong>in</strong>g angles were measured and evaluated for the discrim<strong>in</strong>ation between the two<br />

races.<br />

Materials and Methods<br />

The study was done at the Bee Research Unit, K<strong>in</strong>g Saud University.<br />

Thirty right and left fore w<strong>in</strong>gs and h<strong>in</strong>d w<strong>in</strong>gs for two honey bee races, Yemeni<br />

honey bees (Apis mellifera jementica) and Carniolan honey bees (Apis mellifera<br />

carnica), were used <strong>in</strong> this study (total of 120 fore w<strong>in</strong>gs and 120 h<strong>in</strong>d w<strong>in</strong>gs for<br />

the two races). Samples of honey bee workers were collected from brood combs<br />

and subsequently killed at -20°C and dissected by us<strong>in</strong>g forceps to separate fore<br />

w<strong>in</strong>gs and h<strong>in</strong>d w<strong>in</strong>gs. Separated w<strong>in</strong>gs were scanned by us<strong>in</strong>g HP scanner at 1200<br />

dpi to obta<strong>in</strong> w<strong>in</strong>g images then the follow<strong>in</strong>g <strong>in</strong>vestigations were performed.<br />

1. Symmetry of fore w<strong>in</strong>gs<br />

Cubital <strong>in</strong>dex and discodial shift for left and right w<strong>in</strong>gs were measured by<br />

Beemorph program (http://www.hockerley.plus.com/). Inner w<strong>in</strong>g length, <strong>in</strong>ner<br />

w<strong>in</strong>g width, distance C and distance D were measured by ScanPhoto method<br />

accord<strong>in</strong>g to Abou-Shaara et al. (2011) by us<strong>in</strong>g Photoshop program. Fore w<strong>in</strong>g<br />

angles (A1, A4, D7, J16, k19 and O26) were measured by ImageTool 3.0 program<br />

(http://compdent.uthscsa.edu/dig/itdesc.html). Analysis of Variance (ANOVA) was<br />

done for measured characters and means were compared by us<strong>in</strong>g Least Significant<br />

Difference (P


Studies on w<strong>in</strong>gs symmetry and ...<br />

Coord<strong>in</strong>ates of 18 po<strong>in</strong>ts (Figure 1) were determ<strong>in</strong>ed by us<strong>in</strong>g ImageJ 1.46<br />

program then MorphoJ program (Kl<strong>in</strong>genberg, 2011) was used for geometric<br />

morphometric analysis. Po<strong>in</strong>t sets of right and left fore w<strong>in</strong>gs were compared by<br />

measur<strong>in</strong>g centroid size, is the square root of squared distance sums of po<strong>in</strong>ts set<br />

from their centroid, and matrix correlation.<br />

2. Symmetry of h<strong>in</strong>d w<strong>in</strong>gs<br />

Figure 1. Eighteen fore w<strong>in</strong>g po<strong>in</strong>ts<br />

H<strong>in</strong>d w<strong>in</strong>g length and width were measured by us<strong>in</strong>g ScanPhoto method<br />

for right and left w<strong>in</strong>gs. Three h<strong>in</strong>d w<strong>in</strong>g angles; H1, H2 and H3 (Figure 2) were<br />

measured by us<strong>in</strong>g ImageTool 3.0 program. These angles were used for confirm<strong>in</strong>g<br />

the symmetry of h<strong>in</strong>d w<strong>in</strong>gs and for discrim<strong>in</strong>at<strong>in</strong>g between the two races.<br />

ANOVA was performed for measured characters and means were compared by<br />

us<strong>in</strong>g L.S.D.0.05.<br />

Figure 2. Three suggested angles for h<strong>in</strong>d w<strong>in</strong>gs<br />

3. The discrim<strong>in</strong>ation between Carniolan and Yemeni honey bees<br />

Standard morphometric was used for the discrim<strong>in</strong>ation between the two<br />

races by us<strong>in</strong>g four lengths and six angles of right fore w<strong>in</strong>gs as well as by us<strong>in</strong>g<br />

right h<strong>in</strong>d w<strong>in</strong>g characters. Forward stepwise with tolerance = 0.01, F-to-Enter:<br />

1.000 and F-to-Remove: 0.900 was used to identify canonical discrim<strong>in</strong>ant<br />

functions by us<strong>in</strong>g SYSTAT 13 program. Also, ANOVA was performed and<br />

means of fore and h<strong>in</strong>d w<strong>in</strong>g were compared by us<strong>in</strong>g L.S.D.0.05 to identify<br />

significant differences between the two races. Moreover, geometric morphometric<br />

577


578<br />

H. F. Abou-Shaara et al.<br />

of fore w<strong>in</strong>g po<strong>in</strong>ts was used for the discrim<strong>in</strong>ation between the two races based on<br />

their transformation grids and their centroid size.<br />

Results and Discussion<br />

1.Symmetry of fore w<strong>in</strong>gs<br />

Mean of right w<strong>in</strong>gs for Yemeni honey bee was 2.54 ± 0.12 for cubital<br />

<strong>in</strong>dex and -2.25 ± 0.51 for discodial shift while for left w<strong>in</strong>gs mean was 2.45 ± 0.11<br />

for cubital <strong>in</strong>dex and -2.14 ± 0.55 for discodial shift. No significant differences<br />

were found between cubital <strong>in</strong>dex and discodial shift means (L.S.D.0.05 values were<br />

0.3259 and 1.5118 for cubital <strong>in</strong>dex and discodial shift, respectively). For<br />

Carniolan honey bees, means of cubital <strong>in</strong>dex and discodial shift were 2.32 ± 0.05<br />

and 2.71 ±0.38, for right fore w<strong>in</strong>gs, respectively and means for left w<strong>in</strong>gs were<br />

2.34 ± 0.07 and 2.60 ± 0.39, respectively. No significant differences were found<br />

between cubital <strong>in</strong>dex and discodial shift (L.S.D.0.05 values were 0.19 and 1.11 for<br />

cubital <strong>in</strong>dex and discodial shift, respectively). Also, no significant differences<br />

were found between studied sides <strong>in</strong> all measured lengths and angles (Table 1).<br />

Table 1. Means ± SE of lengths and angles for Carniolan and Yemeni honey bee w<strong>in</strong>gs<br />

Carniolan honey bees:<br />

Side IWL IWW DC DD A1 A4 D7 J16 K19 O26<br />

Right 4.37 ± 1.95 ± 0.85 ± 1.87 ± 22.30 31.39 94.61 ± 104.20 79.99 40.57<br />

0.02 0.01 0.01 0.01 ± 0.46 ± 0.59 0.63 ± 1.25 ± 0.96 ± 1.07<br />

Left 4.37 ± 1.94 ± 0.85 ± 1.91 ± 24.06 31.08 94.96 ± 103.39 80.59 42.23<br />

0.02 0.01 0.01 0.01 ± 0.76 ± 0.39 0.66 ± 1.08 ± 0.88 ± 1.18<br />

L.S.D. 0.05 0.05* 0.03 0.03 0.03 1.78 1.43 1.83 3.30 2.61 3.19<br />

Yemeni honey bees:<br />

Side IWL IWW DC DD A1 A4 D7 J16 K19 O26<br />

Right 3.96 ± 1.80 ± 0.78 ± 1.73± 22.75 33.23 101.78 95.14 79.05 44.49<br />

0.01 0.003 0.001 0.004 ± 0.80 ± 0.65 ± 0.84 ± 1.10 ±0.85 ± 1.40<br />

Left 3.96 ± 1.81 ± 0.78 ± 1.73 ± 21.23 35.05 101.26 96.17 78.44 45.69<br />

0.01 0.005 0.002 0.004 ± 0.69 ± 0.64 ± 0.82 ± 0.92 ± 1.16 ± 1.59<br />

L.S.D. 0.05 0.06* 0.03 0.02 0.03 2.13 1.83 2.35 2.89 2.88 4.24<br />

* No significant differences were found between left and right means for all characters.<br />

IWL: Inner w<strong>in</strong>g length, IWW: Inner w<strong>in</strong>g width, DC: Distance C and DD: Distance D.<br />

Centroid size for Carniolan honey bees was 0.0229 for right w<strong>in</strong>gs and<br />

0.0233 for left w<strong>in</strong>gs and matrix correlation between matrix 1 for right w<strong>in</strong>gs and<br />

Matrix 2 for left w<strong>in</strong>gs was 0.77. On the other side, centroid size for Yemeni honey<br />

bees was 0.0233 for right w<strong>in</strong>gs and 0.0258 for left w<strong>in</strong>gs and matrix correlation<br />

between matrix 1 and matrix 2 was 0.83.


2. Symmetry of h<strong>in</strong>d w<strong>in</strong>gs<br />

Studies on w<strong>in</strong>gs symmetry and ...<br />

No significant differences were found for measured right and left h<strong>in</strong>d<br />

w<strong>in</strong>g characters for Yemeni and Carniolan honey bees (Table 2).<br />

Table 2. Means ± SE of lengths and angles for Yemeni honey bee w<strong>in</strong>gs<br />

Side<br />

Carniolan honey bees (Mean ± SE) Yemeni honey bees (Mean ± SE)<br />

HWL HWW H1 H2 H3 HWL HWW H1 H2 H3<br />

Right 6.17± 1.88 ± 67.41± 47.45± 27.13± 5.63± 1.82 ± 64.61± 45.41± 27.22±<br />

0.02 0.02 1.16 0.55 0.18 0.03 0.02 1.36 0.92 0.38<br />

Left 6.15± 1.89 ± 68.61± 47.50± 26.69± 5.61± 1.81 ± 66.50± 45.77± 26.62±<br />

0.02 0.03 1.36 0.50 0.30 0.04 0.04 0.65 0.70 0.25<br />

L.S.D. 0.05 0.07* 0.08 3.59 1.50 0.71 0.11 0.09 3.02 2.33 0.92<br />

* No significant differences were found between left and right means for all characters.<br />

HWL: H<strong>in</strong>d w<strong>in</strong>g length, HWW: H<strong>in</strong>d w<strong>in</strong>g width, H1: Angle H1, H2: Angle H2 and H3: Angle H3.<br />

In general, standard morphometric analysis strongly confirmed the<br />

symmetry of honey bee w<strong>in</strong>gs where no significant differences were found<br />

between all measured characters for fore and h<strong>in</strong>d w<strong>in</strong>gs. The most identical<br />

characters were <strong>in</strong>ner w<strong>in</strong>g length, <strong>in</strong>ner w<strong>in</strong>g width, distance C and distance D.<br />

Based on geometric morphometric, high degree of similarity was found between<br />

centroid size of left and right w<strong>in</strong>gs for Carniolan and Yemeni honey bees.<br />

Relatively high correlation values were found between po<strong>in</strong>t sets of right and left<br />

w<strong>in</strong>gs for the two races. Thus the symmetry of honey bee w<strong>in</strong>gs was confirmed by<br />

standard and geometric morphometric analyses. Some factors were reported to<br />

impact on the normal w<strong>in</strong>g venation pattern <strong>in</strong>clud<strong>in</strong>g pupal rear<strong>in</strong>g temperature<br />

(Tan et al., 2005), season (Mattu and Verma, 1984) and deformed w<strong>in</strong>g virus<br />

(DWV). Apart from these factors, right and left w<strong>in</strong>gs are identical.<br />

3. The discrim<strong>in</strong>ation between the two races<br />

Standard morphometric analysis by us<strong>in</strong>g fore w<strong>in</strong>g characters showed that<br />

<strong>in</strong>ner w<strong>in</strong>g length and width were the most successful characters <strong>in</strong> discrim<strong>in</strong>at<strong>in</strong>g<br />

between the two races without overlapp<strong>in</strong>g (Figure 3). Significant differences were<br />

found between the two races <strong>in</strong> all measured fore w<strong>in</strong>g characters except angle A1<br />

and angle K19 (Table 3). Concern<strong>in</strong>g the discrim<strong>in</strong>ation between the two races by<br />

us<strong>in</strong>g h<strong>in</strong>d w<strong>in</strong>g characters, only h<strong>in</strong>d w<strong>in</strong>g length and angle H3 were used<br />

successfully for the discrim<strong>in</strong>ation between the two races without overlapp<strong>in</strong>g<br />

(Figure 4). Significant difference was found between means of h<strong>in</strong>d w<strong>in</strong>g length<br />

while no significant differences were found between means of all other h<strong>in</strong>d w<strong>in</strong>g<br />

characters (Table 3).<br />

579


580<br />

Inner w<strong>in</strong>g width<br />

2.1<br />

2<br />

1.9<br />

1.8<br />

1.7<br />

H. F. Abou-Shaara et al.<br />

3.7 3.8 3.9 4 4.1 4.2 4.3 4.4 4.5 4.6<br />

Inner w<strong>in</strong>g length<br />

Races<br />

Carniolan<br />

Yemeni<br />

Figure 3. The discrim<strong>in</strong>ation between Yemeni and Carniolan honey bees based on <strong>in</strong>ner w<strong>in</strong>g<br />

length and width<br />

H3<br />

25.73<br />

25.64<br />

25.54<br />

24.87<br />

24.26<br />

23.95<br />

23.92<br />

22.15<br />

22.13<br />

26<br />

31.16<br />

29.5<br />

29.38<br />

29.15<br />

29.06<br />

28.98<br />

28.97<br />

28.96<br />

28.79<br />

28.36<br />

28.35<br />

28.23<br />

28.19<br />

28.14<br />

28.11<br />

27.97<br />

27.93<br />

27.89<br />

27.84<br />

27.8<br />

27.74<br />

27.73<br />

27.69<br />

27.6<br />

27.54<br />

27.53<br />

27.47<br />

27.32<br />

27.28<br />

27.27<br />

27.24<br />

27.22<br />

27.13<br />

27.06<br />

27.02<br />

26.98<br />

26.97<br />

26.81<br />

26.73<br />

26.62<br />

26.57<br />

26.46<br />

26.39<br />

26.36<br />

26.04<br />

5.2<br />

5.3<br />

5.4<br />

5.5<br />

H<strong>in</strong>d w<strong>in</strong>g length<br />

5.6<br />

5.7<br />

5.8<br />

5.9<br />

6<br />

6.1<br />

6.2<br />

6.3<br />

6.4<br />

Races<br />

Carniolan<br />

Yemeni<br />

Figure 4. The discrim<strong>in</strong>ation between Yemeni and Carniolan honey bees based on angle H3 and<br />

h<strong>in</strong>d w<strong>in</strong>g length<br />

Table 3. Lengths and angles means ± SE for Carniolan and Yemeni honey bee w<strong>in</strong>gs<br />

Race Fore w<strong>in</strong>g characters (Mean ± SE)<br />

IWL IWD DC DD Angle Angle Angle Angle Angle Angle<br />

A1 A4 D7 J16 K19 O 26<br />

Carniolan 4.37± 1.95 ± 0.85± 1.87± 22.30 31.39 94.61 104.20 79.99 40.57<br />

0.02 0.01 0.01 0.01 ± 0.46 ± 0.59 ± 0.63 ± 1.25 ± 0.96 ± 1.07<br />

Yemeni 3.96± 1.80 ± 0.78± 1.73± 22.75 33.23 101.78 95.14 79.05 44.49<br />

0.01 0.003 0.001 0.004 ± 0.80 ± 0.65 ± 0.84 ± 1.10 ±0.85 ± 1.40<br />

L.S.D. 0.05 0.05 0.029 0.02 0.03 1.85* 1.76 2.09 3.33 2.58* 3.53<br />

Race H<strong>in</strong>d w<strong>in</strong>g characters (Mean ± SE)<br />

* No significant differences were found<br />

HWL HWW H1 H2 H3 between Yemeni and Carniolan character.<br />

Carniolan 6.17± 1.88 ± 67.41 47.45 27.13<br />

0.02 0.02 ± 1.16 ± 0.55 ± 0.18 IWL: Inner w<strong>in</strong>g length, IWD: Inner w<strong>in</strong>g<br />

Yemeni<br />

L.S.D. 0.05<br />

5.63±<br />

0.03<br />

0.09<br />

1.82 ±<br />

0.02<br />

0.07*<br />

64.61<br />

± 1.36<br />

3.59*<br />

45.41<br />

± 0.92<br />

2.16*<br />

27.22<br />

± 0.38<br />

0.85*<br />

width, DC: Distance C, DD: Distance D.<br />

HWL: H<strong>in</strong>d w<strong>in</strong>g length, HWW: H<strong>in</strong>d w<strong>in</strong>g<br />

width, H1: Angle H1, H2: Angle H2 and H3:<br />

Angle H3.


Studies on w<strong>in</strong>gs symmetry and ...<br />

Geometric morphometric analysis was used for the discrim<strong>in</strong>ation between<br />

the two races by us<strong>in</strong>g centroid size and transformation grid shape. Right and left<br />

fore w<strong>in</strong>gs of Yemeni honey bees had higher centroid size than Carniolan honey<br />

bees. Also, differences <strong>in</strong> transformation grids were found between fore w<strong>in</strong>gs of<br />

the two races (Figure 5).<br />

Figure 5. Transformation grids of right fore w<strong>in</strong>g for Carniolan honey bees (above) and Yemeni<br />

honey bees (below)<br />

The effectiveness of fore w<strong>in</strong>g angles <strong>in</strong> separat<strong>in</strong>g between honey bee<br />

groups was identified by Nedić et al. (2011) dur<strong>in</strong>g their work on collected honey<br />

bee samples from different locations of Serbia. The discrim<strong>in</strong>ation between the two<br />

races based on standard morphometric of fore w<strong>in</strong>gs showed that all measured<br />

morphological characters, <strong>in</strong>clud<strong>in</strong>g fore w<strong>in</strong>g angles, were with significant<br />

differences between the two races except angle A1 and angle K19. Inner w<strong>in</strong>g<br />

length and width were the most successful characters <strong>in</strong> discrim<strong>in</strong>at<strong>in</strong>g between the<br />

two races accurately. The discrim<strong>in</strong>ation between the two races based on h<strong>in</strong>d w<strong>in</strong>g<br />

characters showed that no significant differences were found between character<br />

means except h<strong>in</strong>d w<strong>in</strong>g length. Canonical discrim<strong>in</strong>ant analysis showed that h<strong>in</strong>d<br />

w<strong>in</strong>g length and angle H3 were used correctly for discrim<strong>in</strong>at<strong>in</strong>g between the two<br />

races. Thus, h<strong>in</strong>d w<strong>in</strong>g length and angle H3 could be <strong>in</strong>corporated <strong>in</strong> honey bee<br />

races discrim<strong>in</strong>ation.<br />

Moreover, geometric morphometric was also succeeded <strong>in</strong> discrim<strong>in</strong>at<strong>in</strong>g<br />

between the two races. In accordance with Tofilski (2008), who classified<br />

successfully colonies of three honey bee races; A. m. mellifera, A. m. carnica and<br />

A. m. caucasica by us<strong>in</strong>g standard and geometric morphometric and correctly<br />

geometric morphometric identified African and European honey bees by about<br />

99% (Francoy et al., 2008) as well as Asian honey bee species (Rattanawannee et<br />

al., 2010). In general, standard and geometric morphometric analyses were used<br />

successfully <strong>in</strong> the discrim<strong>in</strong>ation between the two races.<br />

581


582<br />

Conclusion<br />

H. F. Abou-Shaara et al.<br />

Apart from the abnormal w<strong>in</strong>g venations which occasionally occur with<strong>in</strong><br />

w<strong>in</strong>gs due to diseases or other factors, fore and h<strong>in</strong>d w<strong>in</strong>gs of honey bees showed<br />

high symmetric degree based on standard and geometric morphometric and by<br />

employ<strong>in</strong>g various software programs. However, mix<strong>in</strong>g right and left w<strong>in</strong>gs<br />

dur<strong>in</strong>g the morphometric analysis is not recommended. The discrim<strong>in</strong>ation between<br />

the studied races was done successfully by standard and geometric morphometric<br />

analyses. Also, MorphoJ program can be used sufficiently for perform<strong>in</strong>g<br />

geometric morphometric analysis of honey bee w<strong>in</strong>gs as an <strong>in</strong>tegrated program.<br />

F<strong>in</strong>ally, h<strong>in</strong>d w<strong>in</strong>g length and angle H3 could be <strong>in</strong>corporated <strong>in</strong> honey bee races<br />

discrim<strong>in</strong>ation.<br />

Acknowledgment<br />

We would like to thank the anonymous reviewers for their efforts <strong>in</strong><br />

improv<strong>in</strong>g the manuscript by their helpful comments and corrections. Also, we<br />

would like to thank the Department of Plant Protection, College of Foods and<br />

Agricultural Sciences & Bee Research Unit at K<strong>in</strong>g Saud University for provid<strong>in</strong>g<br />

necessary materials for the research.<br />

Ispitivanje simetrije krila i razlikovanja rasa medonosnih<br />

pčela korišćenjem standardne i geometrijske morfometrije<br />

H. F. Abou-Shaara i A. A. Al-Ghamdi<br />

Rezime<br />

Morfometrija je neophodan <strong>in</strong>strument u razlikovanju rasa medonosnih<br />

pčela i njihovoj karakteri<strong>za</strong>ciji i nalazi široku upotrebu u istraživanjima pčela. Na<br />

žalost, ne postoji literatura koja može da potvrdi studije simetrije krila pčela.<br />

Dakle, standardne i geometrijske morfometrijske analize su korišćene u analizi<br />

simetrije krila kao i <strong>za</strong> razlikovanje medonosnih pčela rase Carniolan i Yemeni.<br />

Štaviše, tri ugla <strong>za</strong>dnjih krila (H1, H2 i H3) su korišćena u razlikovanju rasa pčela.<br />

Rezultati morfometrijske analize potvrđuju simetriju krila pčela. Korišćenjem<br />

standardne i geometrijske morfometrijske analize mogu se uspešno razlikovati rase<br />

pčela. Duž<strong>in</strong>a <strong>za</strong>dnjih krila i ugao H3 se uspešno mogu uključiti u analizu i<br />

određivanje rasa medonosnih pčela.


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Received 31 June 2012; accepted for publication 15 September 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 585-593 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 633.17<br />

DOI: 10.2298/BAH1203585J<br />

CORRELATION COEFFICIENTS OF MORPHOLOGICAL<br />

- PRODUCTIVE TRAITS OF SPECIES OF SORGHUM<br />

GENUS<br />

S. Janković 2 , S. Rakić 1 , J. Ikanović 1 , J. Kuzevski 2 , Lj. Živanović 1 Ž.<br />

Lakić 3<br />

1<br />

University of Belgrade, Faculty of Agriculture, Nemanj<strong>in</strong>a 6, 11080 Zemun-Belgrade, Serbia.<br />

2<br />

<strong>Institut</strong>e for Science Application <strong>in</strong> Agriculture, Bulevar despota Stefana 68b, 11000, Belgrade,<br />

Serbia.<br />

3<br />

<strong>Institut</strong>e of Agriculture, 78000 Banja Luka, Knja<strong>za</strong> Miloša 17, BiH<br />

Correspond<strong>in</strong>g author: Sveto Rakić, e-mail: sveto@agrif.bg.ac.rs<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: Objective of the research were phenotypic and genetic correlation<br />

coefficients of three species of Sorghum genus – forage sorghum S. bicolor<br />

Moench. (genotype NS-Dž<strong>in</strong>), Sudan grass S. sudanense L. (genotype Zora) and<br />

<strong>in</strong>terspecies hybrid S. bicolor x S. sudanense (genotype Silok<strong>in</strong>g). Studies were<br />

carried out on samples of plant material from the first cut. The follow<strong>in</strong>g<br />

morphological-productive traits were studied: plant height, number of leaves per<br />

plant, mass of leaves on the stem, average stem mass and yield of green biomass.<br />

In the analysis of genetic and phenotypic coefficients, differences depend<strong>in</strong>g on the<br />

impact on studied morphological-productive traits are observed. The highest value<br />

of the stem height was recorded <strong>in</strong> Sudan grass (2.281 m), as well as number of<br />

leaves per plants (7.917). The greatest mass of leaves per plant was established <strong>in</strong><br />

forage sorghum (49.05 g), and the highest average stem mass was recorded <strong>in</strong><br />

<strong>in</strong>terspecies hybrid plants (80.798 g). Variation of morphological-productive<br />

<strong>in</strong>dicators per species was significant and very significant. Coefficients of simple<br />

correlations <strong>in</strong>dicate the presence of very strong to almost complete, statistically<br />

very significant positive correlations, so these effects were expected. Plant height<br />

and number of leaves were not directly but <strong>in</strong>directly statistically significant to<br />

yield of green biomass and varied from <strong>in</strong>significant and very weak to sporadically<br />

medium strong and statistically significant.<br />

+<br />

Key words: forage sorghum, Sudan grass, <strong>in</strong>terspecies hybrid, genotype,<br />

correlations.<br />

Introduction<br />

Plant species of Sorghum genus recently have become very <strong>in</strong>terest<strong>in</strong>g,<br />

especially as forage plants, s<strong>in</strong>ce <strong>in</strong> favorable weather conditions they regenerate


586<br />

S. Janković et al.<br />

well and give, depend<strong>in</strong>g on the moisture regime, more cuts <strong>in</strong> the year of<br />

utili<strong>za</strong>tion (Glamočlija et al., 2010). Ma<strong>in</strong> goals of improvement and breed<strong>in</strong>g of<br />

sorghum for livestock food are to create cultivars/varieties of high production and<br />

good quality, of long life and tolerant to limit<strong>in</strong>g conditions of the environment.<br />

Yield of green biomass and dry matter are the most important traits, which have the<br />

utmost importance for the process of improvement/breed<strong>in</strong>g, and the ultimate goal<br />

is improvement or rarely ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g of yields at the same level with simultaneous<br />

improvement of other important traits. It can be improved by selection (Antoche et<br />

al., 2007). Consider<strong>in</strong>g that modern programs of improvement of forage sorghum<br />

and Sudan grass are directed towards creat<strong>in</strong>g of F1 hybrid with expressed potential<br />

for high yields of green biomass of good quality and stability, suitable for use as<br />

fresh biomass, hay or silage (Pataki et al., 2006), exceptional importance <strong>in</strong><br />

reali<strong>za</strong>tion of this goal is study of the comb<strong>in</strong>ation ability of potential parent<br />

components (Mihajlović et al., 2007). Biomass of forage sorghum, Sudan grass and<br />

their hybrid is used fresh or for preparation of silage, and rarely for preparation of<br />

hay or graz<strong>in</strong>g (Camakci, 1999; Ikanović et al., 2010). Depend<strong>in</strong>g on the way of<br />

use of biomass (hay, silage or fresh), adequate agro-technical measures will be<br />

applied. Of all agro-technical measures, plant nutrition is the one with the highest<br />

impact on the quality of biomass (Booker et al., 2007). Proper application of<br />

nitrogen m<strong>in</strong>eral fertilizers shall enable better and more economical use of<br />

environment conditions (natural factors – edaphic, climatic) and genetic yield<br />

potential of these plants for higher production of livestock food per surface unit<br />

(Booker 2007). Yield is reflection of the plant’s potential to accumulate dry matter,<br />

as well as its adaptability to various agro-ecological conditions. Ma<strong>in</strong> criteria used<br />

<strong>in</strong> determ<strong>in</strong>ation of nutritional value are <strong>in</strong>crease of the share of digestible matter<br />

and reduced lign<strong>in</strong> content (Casler, 2001, Ermisani et al., 2007, Ikanović et al.,<br />

2011). In plant improvement, it is very important to know the relation between<br />

morphological traits, i.e. their mutual correlation (correlation coefficients) <strong>in</strong> order<br />

to determ<strong>in</strong>e the improvement criteria and potential selection response of<br />

genotypes for certa<strong>in</strong> major traits (Ikanović, 2010). Direct selection for yield of dry<br />

matter, lately considered as the most important trait from the aspect of agronomy,<br />

<strong>in</strong> species which have been domesticated for long time, do not always give<br />

satisfactory results, even though all modern methods are applied. So it is very<br />

important to better understand the morphological and physiological basis of the<br />

yield, which would make the improvement process more efficient (Sokolović,<br />

2006, Radović, 2009). In improvement of plants, it is very important to know<br />

relations between traits, i.e. their correlations (correlation coefficients) <strong>in</strong> order to<br />

determ<strong>in</strong>e the improvement criteria and possible response of genotypes <strong>in</strong> regard to<br />

certa<strong>in</strong> major traits. The question is whether it is possible to improve plants for<br />

<strong>in</strong>dividual poly-gene controlled traits. In majority of cases, undesirable changes <strong>in</strong><br />

values occur as well as other agronomically important traits due to mutual<br />

correlation (Šurlan–Momirović et al., 2005). Previous studies focus<strong>in</strong>g on the


Correlation coefficients of ...<br />

chemical composition of alfalfa biomass (Milić et al., 2011) maize silage (Gocevski<br />

and Cilev 2011) and bird’s foot trefoil (Petrović et al., 2011) <strong>in</strong>dicate the<br />

importance of this issue on nutritional properties of these feeds.<br />

Materials and Methods<br />

Two year research (2009-2010) was carried out on experimental field<br />

Radmilovac. Field micro-trials were set up accord<strong>in</strong>g to random block system <strong>in</strong> 10<br />

repetitions with the size of ma<strong>in</strong> parcels of 10 m 2 (5 m x 2 m). Object of the<br />

research were three genotypes selected <strong>in</strong> the <strong>Institut</strong>e of field and vegetable crops,<br />

Novi Sad. They are forage sorghum cultivar Dž<strong>in</strong>, selected <strong>in</strong> 1983, Sudan grass<br />

cultivar Zora selected <strong>in</strong> 1983 and <strong>in</strong>terspecies hybrid Silok<strong>in</strong>g, selected <strong>in</strong> 2007.<br />

Standard agro-technics used for sorghum cropp<strong>in</strong>g was applied. Cutt<strong>in</strong>g of plants<br />

was done <strong>in</strong> the second week of July, and samples were taken of fresh cut biomass<br />

for analysis of morphological traits. Yield of fresh biomass was determ<strong>in</strong>ed by<br />

measur<strong>in</strong>g of the cut above ground mass from every basic parcel and calculat<strong>in</strong>g<br />

per ha. In the first year, dur<strong>in</strong>g vegetation period, precipitation amount was by<br />

approx. 9.5% higher compared to ten year average. April and May had less<br />

precipitation, whereas the summer months were more humid. Precipitation amount<br />

<strong>in</strong> the second year was higher compared to multiannual average by 27% and <strong>in</strong><br />

relation to the first year by approx. 20%. Distribution of precipitation dur<strong>in</strong>g<br />

vegetation period was equal, and maximum precipitation quantities were <strong>in</strong> June,<br />

180 litres of ra<strong>in</strong> per square meter. Distribution of heat <strong>in</strong> the first year and<br />

accord<strong>in</strong>g to months showed that mean monthly temperatures dur<strong>in</strong>g summer<br />

months were lower than multiannual average for this area. In the second year,<br />

spr<strong>in</strong>g and autumn had lower air temperatures, whereas the summer was at the<br />

level of previous year (Table 1).<br />

Table 1. Precipitation (mm) and mean daily temperatures ( 0 C) for vegetation period, (Belgrade-<br />

Radmilovac)<br />

Year Parameter<br />

IV V<br />

Month<br />

VI VII VIII IX<br />

Average<br />

Sum<br />

2009<br />

Temperature<br />

Ra<strong>in</strong>fall<br />

16<br />

6<br />

20<br />

34<br />

21<br />

153<br />

24<br />

79<br />

24<br />

45<br />

20<br />

45<br />

21<br />

362<br />

2010<br />

Temperature<br />

Ra<strong>in</strong>fall<br />

14<br />

41<br />

18<br />

85<br />

21<br />

180<br />

24<br />

41<br />

24<br />

54<br />

18<br />

51<br />

20<br />

452<br />

Ten years Temperature 15 26 23 25 25 18 21<br />

Average<br />

Sum Ra<strong>in</strong>fall 15 58 102 53 54 49 331<br />

Analysis of obta<strong>in</strong>ed experimental data was done us<strong>in</strong>g analytical statistics<br />

us<strong>in</strong>g statistical package STATISTICA 8 for W<strong>in</strong>dows (StatSoft). By analyz<strong>in</strong>g the<br />

587


588<br />

S. Janković et al.<br />

covariance of <strong>in</strong>vestigated sorghum genotypes coefficients of phenotypic<br />

correlation were calculated. Indicators of the mutual correlation between studied<br />

traits were obta<strong>in</strong>ed from the relation of common variation and product of<br />

<strong>in</strong>dividual variation. In the analysis of covariance of studied traits of <strong>in</strong>vestigated<br />

sorghum genotypes, coefficients of genetic and phenotypic correlations were<br />

calculated (Ivanović, 1984; Maletić, 2005).<br />

Results and Discussion<br />

Correlation relations of 6 morphological and productive traits of genotypes<br />

of studied Sorghum species were studied on analyzed samples. Statistically<br />

significant and very significant correlation expressed <strong>in</strong> phenotypic correlation<br />

coefficients was established between certa<strong>in</strong> traits (Table 2).<br />

Table 2. Genetic and phenotypic correlation coefficients for morphological and productive<br />

traits of sorghum, sudan grass and <strong>in</strong>terspecies hybrid<br />

2009<br />

Traits<br />

Plant height<br />

Plant<br />

height<br />

Number of leaves 0.18<br />

Number<br />

of leaves<br />

Leaf mass -0.8 0.44<br />

Leaf<br />

mass<br />

Stem mass -0.59 0.69 0.95**<br />

Stem<br />

mass<br />

Share of<br />

leaves<br />

Yield of<br />

green<br />

biomass<br />

0.21 -0.80 -0.59 0.49 -0.33<br />

Share of leaves 0.47 -0.78 0.90* -0.98**<br />

Yield of green<br />

biomass<br />

2010<br />

Plant height<br />

Number of leaves 0.21<br />

Leaf mass -0.15 0.43<br />

0.46 0.71 -0.81 0.93**<br />

0.96** 0.94** 0.83<br />

-0.33 0.87* 0.83 0.95** -0.98**<br />

Stem mass 0.60 0.69 0.95**<br />

-0.99** 0.96**<br />

-0.99**<br />

0.22 -0.74 -0.49 0.59 -0.24<br />

Share of leaves 0.47 -0.87 0.98* -0.98**<br />

0.38 0.82 -0.84 0.93**<br />

0.99** 0.94** 0.93<br />

Yield of green<br />

biomass<br />

-0.4 3 0.97* 0.93 0.95** -0.99**<br />

Phenotypic correlation coefficients<br />

-0.99** 0.99**<br />

-0.98**<br />

Genetic correlation coefficients<br />

Genetic correlation<br />

coefficients


Correlation coefficients of ...<br />

Accord<strong>in</strong>g to the correlation coefficients given <strong>in</strong> the Table 2, the values of<br />

genetic correlation coefficients have been determ<strong>in</strong>ed as slightly higher than the<br />

values of phenotypic correlation coefficients <strong>in</strong> both tested years. The analysis of<br />

morphological traits has shown a highly significant correlation between leaf mass<br />

and stem mass, as well as between stem mass and yield of green biomass. In other<br />

words, by <strong>in</strong>creas<strong>in</strong>g stem mass, leaf mass and yield of green biomass of the tested<br />

genetic coefficients also <strong>in</strong>crease. Yield of green biomass shows a highly negative<br />

correlation (-0.99**) with share of leaves. By <strong>in</strong>creas<strong>in</strong>g share of leaves, yield of<br />

green biomass decreases. Share of leaves also shows a negative correlation with<br />

stem mass, so by <strong>in</strong>creas<strong>in</strong>g share of leaves, stem mass decreases. As for<br />

phenotypic correlation coefficients, we have obta<strong>in</strong>ed similar, yet lower values. A<br />

positive correlation have been determ<strong>in</strong>ed between stem mass and leaf mass<br />

(0.95**), as well as between yield of green biomass and stem mass. A negative<br />

correlation has been determ<strong>in</strong>ed between share of leaves and stem mass, and<br />

between yield of green biomass and share of leaves. The similar results have been<br />

obta<strong>in</strong>ed <strong>in</strong> the second year of test<strong>in</strong>g, both with genetic and phenotypic correlation<br />

coefficients. Statistical significance of phenotypic correlation coefficients, obta<strong>in</strong>ed<br />

for certa<strong>in</strong> morphological traits and their impact on yield of green biomass, is of<br />

great importance <strong>in</strong> efforts focused on creation of new genotypes with<strong>in</strong> the<br />

species, but also for creation of <strong>in</strong>terspecies hybrid. Direct selection for certa<strong>in</strong><br />

agronomically important traits do not always end <strong>in</strong> satisfactory results, <strong>in</strong> spite of<br />

use of all modern methods (Sokolović, 2001). Therefore, it is important to have<br />

better understand<strong>in</strong>g of the functional, morphological or physiological correlation<br />

of traits, i.e. how and to which extent one trait <strong>in</strong>fluences the other and vice versa.<br />

This is confirmed by results obta<strong>in</strong>ed by (Šurlan–Momirović et.al. 2005). These<br />

authors concluded that <strong>in</strong> improvement of certa<strong>in</strong> traits, controlled by majority of<br />

genes, often undesirable changes occur <strong>in</strong> some other traits, which happens due to<br />

mutual correlation between traits caused by association between genes.<br />

Coefficients of simple correlations <strong>in</strong>dicate the presence of very strong to almost<br />

complete, statistically very significant positive correlations; therefore these effects<br />

could be expected. In previous researches of mutual correlation and direct and<br />

<strong>in</strong>direct effects of different morphological and technological traits of plant species,<br />

deviations are very often <strong>in</strong> results obta<strong>in</strong>ed by simple correlation and path analysis<br />

(Zečević, 1996; Šurlan-Momirović, 2005). This, <strong>in</strong> case of yield of green biomass<br />

as economically most important trait, means that its expression is caused by very<br />

complex system of various physiological and morphological <strong>in</strong>dicators. Taylor<br />

(2004) po<strong>in</strong>ts out that analysis and study of certa<strong>in</strong> morphological traits from<br />

various aspects is necessary for def<strong>in</strong><strong>in</strong>g of reliable strategy <strong>in</strong> improvement of<br />

plant species and achiev<strong>in</strong>g expected results <strong>in</strong> <strong>in</strong>crease of yield potential of new<br />

genotypes. The effects of studied morphological traits on yield of green biomass of<br />

these genotypes and their very complex mechanism of action on form<strong>in</strong>g of total<br />

589


590<br />

S. Janković et al.<br />

yield can be used as significant support <strong>in</strong> future work aimed at improvement of<br />

sorghum.<br />

Table 3. Statistical significance of differences <strong>in</strong> productive traits of sorghum cultivars<br />

Species, Share of leaves, % Green biomass yield, t ha -1<br />

Cultivar x ± Sx<br />

NS Dž<strong>in</strong><br />

Zora<br />

Silok<strong>in</strong>g<br />

0.05<br />

LSD 0.01<br />

63.2 c ± 0.036<br />

56.2 a ± 0.039<br />

48.9 b ± 0.029<br />

0.93<br />

1.26<br />

59.31 b ± 0.734<br />

53.83 a ± 0.896<br />

58.46 c ± 1.399<br />

0.986<br />

1.340<br />

a, b, c –Values without same letter <strong>in</strong> superscript are significantly different (p


Correlation coefficients of ...<br />

yield of green biomass of sorghum varieties. Number of leaves, as well as their<br />

share <strong>in</strong> total biomass expressed negative effect on yield. Genotypes differed<br />

significantly <strong>in</strong> their morphological and production traits. In the analysis of simple<br />

correlations it was observed that correlation coefficients between plant height and<br />

yield of green biomass, and plant height and number of leaves were very unstable<br />

and varied from <strong>in</strong>significant and very weak to sporadically medium strong to<br />

statistically significant.<br />

Acknowledgment<br />

This work was f<strong>in</strong>anced by the M<strong>in</strong>istry of Education, Science and<br />

Technical Development of, Republic of Serbia, project TR 31078.<br />

Koeficijenti korelacije morfološko-produktivnih osob<strong>in</strong>a<br />

vrsta roda Sorghum<br />

S. Janković, S. Rakić, , J. Ikanović, J. Kuzevski, Lj. Živanović, Ž. Lakić<br />

Rezime<br />

Predmet istraživanja ove studije su fenotipski i genetički koeficijenti<br />

korelacije tri vrste roda Sorghum, i to krmni sirak S. bicolor Moench. (genotip NS-<br />

Dž<strong>in</strong>), sudanska trava S. sudanense L. (genotip Zora) i <strong>in</strong>terspecies hibrid S.<br />

bicolor x S. sudanense (genotip Silok<strong>in</strong>g). Ispitivanja su vršena na uzorcima biljnog<br />

materijala iz prvog otkosa, Proučavane su sledeće morfološko-produktivne<br />

osob<strong>in</strong>e: vis<strong>in</strong>a biljke, broj listova po biljci, masa listova na stablu, prosečna masa<br />

stabla i pr<strong>in</strong>os zelene biomase. Analizom genetičkih i fenotipskih koeficijenata<br />

uočavaju se razlike i <strong>za</strong>visnosti u delovanju na ispitivane morfološko-produktivne<br />

osob<strong>in</strong>e. Najveću vrednost vis<strong>in</strong>e stabla imala je sudanska trava (2,281 m), kao i<br />

broj listova po biljci (7,917). Najveća masa listova po biljci bila je u krmnog sirka<br />

(49,05 g), a najveću prosečnu masu stabla imale su biljke <strong>in</strong>terspecies hibrida<br />

(80,798 g). Variranja ovih morfološko-produktivnih poka<strong>za</strong>telja po vrstama bila su<br />

signifikantna i vrlo signifikantna. Koeficijenti prostih korelacija ukazuju na<br />

postojanje vrlo jakih do skoro potpunih, statistički vrlo značajnih pozitivnih ve<strong>za</strong>,<br />

ovakvi efekti su se mogli očekivati. Vis<strong>in</strong>a biljke i broj listova nisu bili direktno<br />

statistički značajni na pr<strong>in</strong>os zelene biomase, ali <strong>in</strong>direktno jesu i varirali su od<br />

beznačajnih i jako slabih do sporadično srednje jakih i statistički značajnih.<br />

591


592<br />

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u Beogradu, Univerzitet u Beogradu, odbrana: 20.04.2011. god<strong>in</strong>e,: 116.<br />

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24 September 2006, 135.<br />

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RADOVIĆ, J., SOKOLOVIĆ, D., MARKOVIĆ, J. (2009): Alfalfa-most important<br />

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25,5-6,465-475<br />

SOKOLOVIĆ, D. (2001): Genetička varijabilnost i selekciona vrednost autohtonih<br />

populacija engleskog ljulja (Lolium perene L.), magistarski rad, Poljoprivredni<br />

fakultet, Univerzitet u Beogradu, p.107.<br />

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ŽIVANOVIĆ (2005): Genetika i oplemenjivanje biljaka – praktikum, Beograd,<br />

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Wrigley, H. Corke and C.E. Walker, Editors, Encyclopedia of Gra<strong>in</strong> Science,<br />

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Received 16 May 2012; accepted for publication 15 August 2012<br />

593


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 595-602 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 631.563:633.11<br />

DOI: 10.2298/BAH1203595R<br />

QUALITY AND CONDITION OF WHEAT GRAIN<br />

(Triticum spp.) DURING STORAGE<br />

S. Rakić 1* , S. Janković 2 , M. Dem<strong>in</strong> 1 , D. Bucalo 1 , M. Maslovarić 2<br />

1<br />

University of Belgrade, Faculty of Agriculture, Nemanj<strong>in</strong>a 6, 11080 Zemun-Belgrade, Serbia<br />

2<br />

<strong>Institut</strong>e of Science Application <strong>in</strong> Agriculture, Bulevar Despota Stefana 68b, 11000 Belgrade,<br />

Serbia<br />

Correspond<strong>in</strong>g author: Sveto Rakić, e-mail: sveto@agrif.bg.ac.rs<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: The effect of storage on quality and condition of gra<strong>in</strong> of three<br />

wheat cultivars (Ljiljana, Dragana and Simonida) selected <strong>in</strong> Serbia, was studied.<br />

Freshly harvested wheat was stored at 25°C for 12 and 20 months. Decreas<strong>in</strong>g of<br />

the volume from 812.3 to 727.7 kgm -3 and absolute mass from 38.5 to 33.0% of<br />

wheat gra<strong>in</strong> dur<strong>in</strong>g storage was recorded. Gra<strong>in</strong> germ<strong>in</strong>ation <strong>in</strong> <strong>in</strong>teraction of<br />

storage duration and temperature rema<strong>in</strong>ed at the level above 95%. The <strong>in</strong>teraction<br />

of studied factors exhibited no statistically significant effect on the changes <strong>in</strong> the<br />

degree of germ<strong>in</strong>ation of wheat gra<strong>in</strong>. The changes of the acid degree value (2.0–<br />

2.4 ml 1(NaO)/100 g) were at the level of statistical significance. pH value of fresh<br />

samples of gra<strong>in</strong> was 6.5 and after 20 months 5.5. The samples tested from the<br />

aspect of their glass<strong>in</strong>ess were homogenous, the value of the coefficient of<br />

variation for storage duration was CV


596<br />

S. Rakić et al.<br />

(Stanković et al., 2011) of small gra<strong>in</strong>s as a source of fast ferment<strong>in</strong>g energy<br />

(Vasilachil et al., 2010). In available literature, studies can be found of the effect of<br />

temperature, air humidity and storage duration on significant losses of nutrients of<br />

gra<strong>in</strong>s (Shah et al., 2002). Gra<strong>in</strong> can be stored temporarily and for a longer period<br />

of time (one or several years). Major conditions of proper storage dur<strong>in</strong>g entire<br />

period are air humidity and temperature. Recently, wheat gra<strong>in</strong> is stored <strong>in</strong><br />

conditions of very low air humidity (below critical 14.5%) or <strong>in</strong> conditions <strong>in</strong> the<br />

absence of air or lower<strong>in</strong>g of temperature to the po<strong>in</strong>t when all life functions of<br />

gra<strong>in</strong> cease (Žeželj, 1995). Changes of physical characteristics of wheat gra<strong>in</strong><br />

dur<strong>in</strong>g storage have also been studied (Kent and Evers, 1994). A study (Rehman,<br />

2006) deal<strong>in</strong>g with the <strong>in</strong>vestigation of the effect of storage conditions on nutritive<br />

properties of wheat, corn and rice has come to the results <strong>in</strong>dicat<strong>in</strong>g significant<br />

changes of the physical-chemical parameters of the tested samples. The objective<br />

of the present study was to assess the impact of storage duration and temperature<br />

on some physical, biological and chemical properties of wheat gra<strong>in</strong>.<br />

Materials and Methods<br />

The tested wheat genotypes are commercial cultivars (Table 1) selected at<br />

the <strong>Institut</strong>e of Field and Vegetable Crops <strong>in</strong> Novi Sad and recorded <strong>in</strong> the Registry<br />

of cultivars of Republic of Serbia. The material used <strong>in</strong> the analysis was produced<br />

on the experimental field Rimski Šančevi <strong>in</strong> year 2010. The laboratory samples<br />

were formed of freshly harvested gra<strong>in</strong> us<strong>in</strong>g standard methods for sampl<strong>in</strong>g of<br />

gra<strong>in</strong> cultures (ISO 24333 : 2009) as well as adequate ICC standards and AACC<br />

methods. All samples were protected from <strong>in</strong>sects without the use of any<br />

chemicals. Approximately 500g of each tested cultivar with 11-13% of moisture<br />

was placed <strong>in</strong> closed plastic dishes of uniform volume. The identified samples were<br />

stored at a controlled temperature of 25 o C for 12 and 20 months. Three dishes of<br />

each treatment were randomly selected at the end of def<strong>in</strong>ed period of time and<br />

their contents were mixed and tested <strong>in</strong> order to assess the quality and status of<br />

samples.<br />

Table 1. Tested wheat genotypes<br />

Genotype Registration year Pedigree<br />

Ljiljana 2000 NS-3287-3/Rodna<br />

Dragana 2002 Sremka 2/Francuska<br />

Simonida 2003 NS 63-25/Rodna//NS-3288<br />

For assessment of the quality and state of tested wheat gra<strong>in</strong> samples,<br />

physical properties (absolute mass, volume mass, glass<strong>in</strong>ess and mealy


Quality and condition of ...<br />

breakdown), biological properties (germ<strong>in</strong>ation ability) and chemical properties<br />

(acid degree value and pH) were determ<strong>in</strong>ed us<strong>in</strong>g standard procedures and<br />

methods of analysis (Kaluđerski and Filipović, 1998; AOAC, 1990). pH value was<br />

determ<strong>in</strong>ed <strong>in</strong> the filtrate of 2g of crushed sample (1 mm mesh size) <strong>in</strong> 20 ml of<br />

distilled water us<strong>in</strong>g glass electrode pH meter (Hanna, HI83141, Instruments<br />

USA). In order to reach the objective conclusions on the effect of the observed<br />

factors on the studied wheat gra<strong>in</strong> properties, as well as the possibility of<br />

application of parameter tests (ANOVA and LSD-test), the homogeneity of<br />

variances was tested us<strong>in</strong>g the Levene′s test. The results of these tests <strong>in</strong>dicated<br />

that variances of samples <strong>in</strong> regard to almost all studied properties were<br />

homogenous, except variances <strong>in</strong> the volume mass of wheat gra<strong>in</strong> (Table 2).<br />

Because the homogeneity was not respected, the statistical significance for higher<br />

level of risk (1%) was observed.<br />

Table 2. Levene′s test of samples<br />

Properties F p-level<br />

Glass<strong>in</strong>ess and mealy breakdown 1.551 0.2092<br />

Acid degree value 2.601 0.0505<br />

Volume mass 5.892 0.0009<br />

Germ<strong>in</strong>ation ability 1.606 0.1921<br />

Absolute mass 13.631 0.0000<br />

pH 4.058 0.0065<br />

The study of the differences among genotypes and storage duration, as well as their<br />

<strong>in</strong>teraction, was carried out by a two-factorial analysis of variance (ANOVA) as<br />

well as LSD- test for the level of risk of 5% and 1% (Hadživuković, 1977). The<br />

magnitude of the <strong>in</strong>fluence of each factor, as well as their <strong>in</strong>teractions, was<br />

determ<strong>in</strong>ed by partial eta square coefficient subsequently classified accord<strong>in</strong>g to<br />

Cohen’s gradation (Cohen, 1988). Eta partial coefficients (η 2 ) measure a<br />

relationship between sum of square (SS) between factors and difference between<br />

SS total and SS error from analysis of variance (η 2 = SS between / SS total + SS<br />

error). The relative correlation between the properties was measured with the<br />

Pearson's correlation coefficient, at the significance level of 5% and 1%.<br />

Experimental data were processed us<strong>in</strong>g statistical package STATISTICA 10 for<br />

W<strong>in</strong>dows (StatSoft).<br />

Results and Discussion<br />

The <strong>in</strong>vestigated properties of wheat gra<strong>in</strong> <strong>in</strong> the analysed samples<br />

depend<strong>in</strong>g on the duration and temperature of storage are presented <strong>in</strong> the Table 3.<br />

pH values of the analysed samples were homogenous (CV


598<br />

S. Rakić et al.<br />

of storage. The recorded differences <strong>in</strong> pH value between these two time <strong>in</strong>tervals<br />

show a statistical significance (p


Quality and condition of ...<br />

volume mass of fresh samples of wheat gra<strong>in</strong> was the highest (812.3 kgm -3 ), and it<br />

has been decreas<strong>in</strong>g with the extension of the storage time. The recorded<br />

differences between the storage <strong>in</strong>tervals were statistically significant (p


600<br />

S. Rakić et al.<br />

absolute mass of gra<strong>in</strong> of the genotype Simonida showed no statistically significant<br />

difference to other two genotypes (p>0.05). The observed factors had not only a<br />

statistically very significant effect on the change of absolute gra<strong>in</strong> mass, but also<br />

very high effect of their action, as <strong>in</strong>dicated by the values of partial eta-squared<br />

coefficients (η 2 =0.7046 and η 2 =0.3157), except that the effect of storage duration<br />

had stronger effect than genotype.<br />

Figure 1 illustrates changes <strong>in</strong> the acid degree value of the studied wheat<br />

gra<strong>in</strong> genotypes depend<strong>in</strong>g on the storage duration. The variability of the analysed<br />

samples which accompanies the value of the acid degree value of wheat gra<strong>in</strong> was<br />

not exhibited for storage duration (CV


Quality and condition of ...<br />

significant effect on the acid degree value, but that their effect accord<strong>in</strong>g to<br />

Cohen’s gradation is exceptionally high (η 2 =0.9159 and η 2 =0.8345).<br />

Conclusion<br />

Storage dur<strong>in</strong>g different periods of time at the temperature of 25 o C had<br />

negative effect on quality and condition of wheat gra<strong>in</strong>. Decreas<strong>in</strong>g of the values of<br />

volume and absolute mass are registered. In addition, gradual dim<strong>in</strong>ish<strong>in</strong>g of the<br />

germ<strong>in</strong>ation ability is noticeable, which, however, rema<strong>in</strong>ed at very high level of<br />

over 95%. The samples tested for the glass<strong>in</strong>ess were homogenous, the value of<br />

coefficient of variation for storage duration was CV


602<br />

S. Rakić et al.<br />

<strong>za</strong>držala na nivou preko 95%. Interakcija ispitivanih faktora nije ispoljila statistički<br />

značajan uticaj na promenu stepena klijavosti semena pšenice. Promene<br />

kisel<strong>in</strong>skog stepena (2,0–2,4 ml 1(NaO)/100 g) su na nivou statističke značajnosti.<br />

pH vrednost svežih uzoraka semena je bila 6,5 a nakon 20 meseci 5,5. Uzorci<br />

testirani na svojstvo staklavosti su veoma homogeni, vrednost koeficijenata<br />

varijabilnosti <strong>za</strong> duž<strong>in</strong>u skladištenja je Cv


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 603-611 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 633.61<br />

DOI: 10.2298/BAH1203603A<br />

UPGRADING OF SUGARCANE BAGASSE BY SOLID<br />

STATE FERMENTATION WITH PLEUROTUS SAJOR-<br />

CAJU AND PLEUROTUS FLORIDA AND THE IMPACT<br />

ON THE CHEMICAL COMPOSITION AND IN VITRO<br />

DIGESTIBILITY<br />

A. Ak<strong>in</strong>femi<br />

Nasarawa State University, Faculty of Agriculture,<br />

PMB 135 Shabu-Lafia, Nasarawa State, Nigeria.<br />

Correspond<strong>in</strong>g author: ak<strong>in</strong>femiabayomi203@yahoo.com<br />

Abstract: Solid fermentation us<strong>in</strong>g celllolytic fungi: Pleurotus sajor-caju<br />

and Pleurotus florida for upgrad<strong>in</strong>g of sugarcane bagasse to value-added rum<strong>in</strong>ant<br />

feed were <strong>in</strong>vestigated. The fermentation of the substrate lasted for 21 days after<br />

which the changes <strong>in</strong> the chemical and m<strong>in</strong>eral composition, and the <strong>in</strong> vitro gas<br />

production were evaluated. The results obta<strong>in</strong>ed showed an <strong>in</strong>crease <strong>in</strong> the crude<br />

prote<strong>in</strong> (%) from 6.43 (control) to 9.82 for Pleurotus sajor treated substrate (PSB)<br />

and 10.05 for Pleurotus florida treated substrate (PFB). The treatment effect on<br />

crude fiber, neutral detergent fiber (NDF), acid detergent fiber (ADF) and acid<br />

detergent lign<strong>in</strong> (ADL) was significant. Fungal treatment decreased crude fiber (%)<br />

from 37.49 (control) to 31.67 (PFB), NDF (%) from 65.92 (control) to 53.34<br />

(PSB), ADF (%) from 49.94 to 34.79 (PSB), and ADL (%) from 15.13 to 9.74<br />

(PSB). Most of the major and trace m<strong>in</strong>erals were higher <strong>in</strong> the untreated bagasse<br />

with the exception of phosphorus (0.15g/kg), magnesium (1.80g/kg), potassium<br />

(2.70g/kg) and z<strong>in</strong>c (21.60g/kg). The degradation of the <strong>in</strong>soluble but degradable<br />

fraction (b, ml) was higher <strong>in</strong> the control (19.00) followed by PSB (16.00). The<br />

estimated organic matter digestibility (%), short cha<strong>in</strong> fatty acid (µ, mol) and<br />

metabolisable energy (MJ/Kg DM) <strong>in</strong>creased from 38.77-50.06, 0.56-0.75 and<br />

5.33-6.80 respectively. The gas volumes at 24h, 48h and 72h as affected by<br />

treatment was significant (P


604<br />

Introduction<br />

A. Ak<strong>in</strong>femi<br />

.<br />

Annually, huge amounts of agricultural wastes and <strong>in</strong>dustrial by-products<br />

are produced worldwide from farm practices and <strong>in</strong>dustrial food product. In spite<br />

of this large amounts of wastes and <strong>in</strong>dustrial by-products, the problems of<br />

<strong>in</strong>adequate all year round nutrition and the prohibitive cost of conventional<br />

feedstuffs dur<strong>in</strong>g the dry seasons <strong>in</strong> Nigeria rema<strong>in</strong>ed unsolved. One of such agro<br />

<strong>in</strong>dustrial by-product is bagasse. Bagasse consists ma<strong>in</strong>ly of cellulose and<br />

hemicellulose. Even though bagasse conta<strong>in</strong>s enough cellulose to make it an<br />

excellent source of energy for rum<strong>in</strong>ants, it is a poor quality feed <strong>in</strong> its natural<br />

state. It ma<strong>in</strong> problems as animal feed are low digestibility, low prote<strong>in</strong> content,<br />

poor palatability and bulk<strong>in</strong>ess (Abdullah et al., 2006). The poor digestibility of<br />

bagasse is l<strong>in</strong>ked to the lign<strong>in</strong> complex with the cellulose thus bar<strong>in</strong>g it from been<br />

accessible to rumen micro organisms. It is therefore clear that an <strong>in</strong>tervention must<br />

be applied that will overcome this limitations before it can be harnessed as<br />

rum<strong>in</strong>ant feed. Thus, considerable effort is be<strong>in</strong>g made to f<strong>in</strong>d an economic use of<br />

this vast bulk of agricultural waste materials most of which is currently burnt as<br />

fuel (Garg et al., 1982). In view of this, the objectives of this study were to study<br />

the biodegradation of these wastes by Pleurotus sajor caju and Pleurotus florida<br />

for its use as rum<strong>in</strong>ant feed and the result<strong>in</strong>g impact on the chemical composition<br />

and <strong>in</strong> vitro digestibility.<br />

Materials and Methods<br />

Preparation of experimental samples<br />

Dried samples of bagasse straw were collected from the Teach<strong>in</strong>g and<br />

Research Farm, Nasarawa State University, Shabu-Lafia, Nigeria. The materials<br />

were milled and oven-treated at 65 0 C to constant weight for dry matter<br />

determ<strong>in</strong>ation.<br />

The fungus. The sporophores of Pleurotus sajor-caju and Pleurotus florida<br />

grow<strong>in</strong>g <strong>in</strong> the wild were collected from University of Ibadan botanical garden.<br />

These were tissue cultured to obta<strong>in</strong> fungal mycelia (Jonathan and Fasidi, 2001).<br />

The pure culture obta<strong>in</strong>ed was ma<strong>in</strong>ta<strong>in</strong>ed on plate of potato dextrose agar (PDA).<br />

Degradation of bagasse wastes by Pleurotus sajor-caju and Pleurotus florida<br />

Preparation of substrate.The jam bottles used for this study were thoroughly<br />

washed, dried for 10m<strong>in</strong>. at 100 0 C. 25.00g of the dried milled substrates were<br />

weighed separately <strong>in</strong>to a jam bottle and 70ml distilled water were added. The


Upgrad<strong>in</strong>g of sugarcane bagasse by ...<br />

bottle was immediately covered with alum<strong>in</strong>um foil and sterilized <strong>in</strong> the autoclave<br />

at 121 0 C for 15 m<strong>in</strong>. Each treatment was <strong>in</strong> triplicates.<br />

Inoculation. Each bottle was <strong>in</strong>oculated at the center of the substrate with 2,<br />

10.00mm mycelia disc and covered immediately (Adenipekun and Fasidi, 2005).<br />

They were kept <strong>in</strong> the dark cupboard <strong>in</strong> the laboratory at 30 0 C and 100% relative<br />

humidity (RH). At day 21 day of <strong>in</strong>oculation, the experimental bottles were<br />

autoclaved to term<strong>in</strong>ate the mycelia growth. Samples of biodegradation were oven<br />

dried to constant weight for chemical analysis and <strong>in</strong> vitro digestibility.<br />

In vitro gas production. Rumen fluid was obta<strong>in</strong>ed from three West African<br />

Dwarf female goat through suction tube before the morn<strong>in</strong>g feed. The animals were<br />

fed with 40% concentrate feed (40% corn, 10% wheat offal, 10% palm kernel cake,<br />

20% groundnut cake, 5% soybean meal, 10% brewers gra<strong>in</strong>, 1% common salt,<br />

3.75% oyster shell and 0.25% fishmeal) and 60% Gu<strong>in</strong>ea grass. Incubation was<br />

carried out accord<strong>in</strong>g to (Menke and Ste<strong>in</strong>gass 1988) <strong>in</strong> 120ml calibrated syr<strong>in</strong>ges<br />

<strong>in</strong> three batches at 39 0 C. To 200mg sample <strong>in</strong> the syr<strong>in</strong>ge was added 30ml<br />

<strong>in</strong>oculum that conta<strong>in</strong>ed cheese cloth stra<strong>in</strong>ed rumen liquor and buffer (9.8g<br />

NaHCO3 + 2.77g Na2HPO4 + 0.57g KCL + 0.47g NaCL + 0.12g MgSO4. 7H20 +<br />

0.16g CaCI2 . 2H20 <strong>in</strong> a ratio (1:4 v/v) under cont<strong>in</strong>uous flush<strong>in</strong>g with CO2. The<br />

gas production was measured at 3, 6, 9, 12, 15, 18, 21 and 24h. The average<br />

volume of gas produced from the blanks was deducted from the volume of gas<br />

produced per sample. The volume of gas production characteristics were estimated<br />

us<strong>in</strong>g the equation Y = a + b (1 – e ct ) (Ǿrskov and McDonald, 1979), where Y =<br />

volume of gas produced at time‘t’, a = <strong>in</strong>tercept (gas produced from the soluble<br />

fraction), b = gas production from the <strong>in</strong>soluble fraction, (a+b) = f<strong>in</strong>al gas<br />

produced, c = gas production rate constant for the <strong>in</strong>soluble fraction (b), t =<br />

<strong>in</strong>cubation time. The post <strong>in</strong>cubation parameters such as metaboli<strong>za</strong>ble energy<br />

(ME, MJ/Kg DM), organic matter digestibility (OMD %) and short cha<strong>in</strong> fatty<br />

acids (SCFA) were estimated at 24h post gas collection (Menke and Ste<strong>in</strong>gas,<br />

1988).<br />

ME = 2.20 + 0.136* Gv + 0.057* CP + 0.0029*CF;<br />

OMD = 14.88 + 0.88Gv + 0.45CP +0.651XA;<br />

SCFA = 0.0239*Gv – 0.0601;<br />

Where Gv, CP, CF and XA are net gas production (ml/200mg, DM) at 24 h<br />

<strong>in</strong>cubation time crude prote<strong>in</strong>, crude fibre and ash of the <strong>in</strong>cubated sample<br />

respectively.<br />

Statistical analysis. Data obta<strong>in</strong>ed were subjected to analysis of variance<br />

(ANOVA) and where significant difference occurred means were separated by<br />

Duncan (1955) us<strong>in</strong>g Statistical Analysis System (SAS) package.<br />

605


606<br />

Results and discussion<br />

A. Ak<strong>in</strong>femi<br />

.<br />

The result of the chemical composition is shown <strong>in</strong> Table 1. There was<br />

wide variation <strong>in</strong> the chemical composition. The CP (%) <strong>in</strong>creased from 6.43 <strong>in</strong> the<br />

control to 10.05 <strong>in</strong> Pleurotus florida (PFB) treated substrate while the CF (%)<br />

decreased from 37.49 (control) to 31.47 (PFB). The <strong>in</strong>crease <strong>in</strong> CP content may be<br />

attributed to <strong>in</strong>crease <strong>in</strong> microbial biomass <strong>in</strong> the form of s<strong>in</strong>gle cell. This view was<br />

supported by the f<strong>in</strong>d<strong>in</strong>gs of other researchers (Fasidi and Kadiri, 1993; Ak<strong>in</strong>yele,<br />

2003). Prote<strong>in</strong> content <strong>in</strong>crease could also be as a result of hydrolysis of starch to<br />

glucose and its subsequent use by the same organism as a carbon source to<br />

synthesize fungal biomass rich <strong>in</strong> prote<strong>in</strong> (Bender, 1970; Hammond and Wood,<br />

1985). Others, (Kadiri ,1999; Ak<strong>in</strong>yele, 2003; Ak<strong>in</strong>femi, 2010) also reported that<br />

prote<strong>in</strong> <strong>in</strong>crease may be due to secretion of certa<strong>in</strong> extracellular enzymes which are<br />

prote<strong>in</strong>eous <strong>in</strong> nature <strong>in</strong>to the waste dur<strong>in</strong>g their breakdown and its subsequent<br />

metabolism. The CF and CF fraction (NDF, ADF and ADL) decrease on the other<br />

hand may be as a result of the ability of white-rot fungi to decompose and<br />

metabolize all plant cell wall constituents (cellulose, hemicellulose and lign<strong>in</strong>) by<br />

their enzymes (Erikson et al., 1990). Many species of white-rot fungi which are<br />

effective lign<strong>in</strong> degraders have been used to assess their ability to improve the<br />

nutritive value of fodder for rum<strong>in</strong>ant nutrition (Yamakava and Okamnto, 1992;<br />

Howard et al., 2003). Report (Chen et al., 1996) <strong>in</strong>dicated that some white-rote<br />

fungi such as the one used <strong>in</strong> this study are able to decompose free phenolic<br />

monomers and to break the bonds with which lign<strong>in</strong> are cross-l<strong>in</strong>ked to the<br />

polysaccharides. In our present study, cellulose was depleted by the fungi used<br />

while the hemicellulose was most depleted by Pleurotus ortreatis (POB). Cellulose<br />

and hemicellulose reduction <strong>in</strong> fungal treated substrates is common. Previous<br />

studies (Ak<strong>in</strong>femi et al., 2010; Ak<strong>in</strong>femi and Ogunwole, 2012) support these views.<br />

However, differences <strong>in</strong> cellulose and hemicellulose contents of POB and PFB<br />

could be due to stra<strong>in</strong> differences.<br />

Table 1. Changes <strong>in</strong> the chemical composition and crude fiber fractions of fungal treated<br />

Bagasse<br />

Parameters Control PSB PFB SEM<br />

Dry matter 89.87 c<br />

90.54 a<br />

90.15 b<br />

0.006<br />

Crude prote<strong>in</strong> 6.43 c<br />

9.82 b<br />

10.05 a<br />

-<br />

Crude fiber 37.49 a<br />

32.94 b<br />

31.67 b<br />

0.22<br />

Ether extract 2.94 c<br />

3.70 a<br />

3.41 b<br />

0.005<br />

Ash 3.87 c<br />

8.04 a<br />

7.16 b<br />

0.005<br />

Carbohydrate 49.27 a<br />

45.49 c<br />

47.72 b<br />

0.22<br />

NDF 65.92 a<br />

53.34 b<br />

54.80 b<br />

0.41<br />

ADF 49.94 a<br />

34.79 c<br />

46.85 b<br />

0.03<br />

ADL 15.13 a<br />

9.74 c<br />

13.23 b<br />

0.01<br />

Cellulose 34.81 a<br />

25.05 c<br />

33.62 b<br />

0.04<br />

Hemicellulose 15.98 b<br />

18.55 a<br />

a,b,c, means on the same row with different superscripts are significantly varied (P < 0.05) SEM =<br />

Standard error of mean,PSB= Pleurotus sajor-caju trated bagasse, PFB= Pleurotus florida treated<br />

bagasse<br />

7.95 c<br />

0.38


Upgrad<strong>in</strong>g of sugarcane bagasse by ...<br />

Table 2 shows the m<strong>in</strong>eral composition of the treated substrates. The<br />

results obta<strong>in</strong>ed showed that most of the major and m<strong>in</strong>eral elements with the<br />

exception of phosphorus, magnesium and z<strong>in</strong>c were higher <strong>in</strong> the untreated sample.<br />

It is likely the microorganism might have use some of the m<strong>in</strong>erals for their<br />

metabolic activities (Ak<strong>in</strong>yele et al., 2011). This observation is consistent with the<br />

work of Frazier and Westhoff (1978) and Bannet et al., (2002) who reported that<br />

all liv<strong>in</strong>g organisms require some m<strong>in</strong>eral elements to ma<strong>in</strong>ta<strong>in</strong> some metabolic<br />

functions.<br />

Table 2. Some major m<strong>in</strong>erals (g/Kg DM) and trace (ppm) m<strong>in</strong>eral compositions of fungal<br />

treated bagasse<br />

Parameters<br />

Major m<strong>in</strong>erals<br />

Control PSB PFB SEM<br />

Calcium 0.70 a<br />

0.17 b<br />

0.22 b<br />

0.02<br />

Phosphorus 0.13 c<br />

0.28 b<br />

0.32 a<br />

0.003<br />

Magnesium 1.80 c<br />

4.50 b<br />

4.80 a<br />

0.03<br />

Sodium 0.80 a<br />

0.32 b<br />

0.35 b<br />

0.02<br />

Potassium 2.70 b<br />

2.73 b<br />

3.03 a<br />

Trace m<strong>in</strong>erals<br />

0.05<br />

Iron 19.20 a<br />

15.40 c<br />

16.37 b<br />

0.04<br />

Copper 10.20 a<br />

5.40 b<br />

4.70 c<br />

0.03<br />

Z<strong>in</strong>c 21.60 b<br />

21.57 b<br />

22.80 a<br />

0.04<br />

Manganese 34.50 a<br />

13.14 c<br />

14.40 b<br />

0.05<br />

a,b,c, means on the same row with different superscripts are significantly varied (P < 0.05) SEM =<br />

Standard error of mean,PSB= Pleurotus sajor-caju trated bagasse, PFB= Pleurotus florida treated<br />

bagasse<br />

In Table 3, the result of gas production characteristics and estimated<br />

metabolisable energy (ME), organic matter digestibility (OMD) and short cha<strong>in</strong><br />

fatty acid (SCFA) is presented. Treatment effect on gas volume at 24h, 48h and<br />

72h is significant. Gas volume ranked from the highest to lowest at 24h, 48h and<br />

72h were POB, PFB and control. Although gas production is a nutritionally<br />

wasteful product (Mauricio et al., 1999) it nevertheless provides a useful basis<br />

from which ME, SCFA and OMD may be predicted (Babayemi et al., 2006).<br />

Table 3. Gas production characteristics, and estimated metabolisable energy (ME), organic<br />

matter digestibility OMD and short cha<strong>in</strong> fatty acid (SCFA)<br />

Parameters Control PSB PFB SEM<br />

b (ml)<br />

19.00 a<br />

16.00 ab<br />

15.00 b<br />

0.61<br />

C (h -1 ) 0.023 b<br />

0.038 a<br />

0.012 c<br />

0.005<br />

OMD (%) 38.77 c<br />

50.06 a<br />

43.42 b<br />

0.42<br />

SCFA (m mol)<br />

0.56 b<br />

0.75 a<br />

0.59 b<br />

0.01<br />

ME (MJ/Kg DM) 5.33 b<br />

6.80 a<br />

5.86 b<br />

0.07<br />

Gv24 21.00 b<br />

29.00 b<br />

22.00 a<br />

0.47<br />

Gv48 38.00 b<br />

41.00 a<br />

41.00 a<br />

0.33<br />

Gv72 45.00 b<br />

54.50 a<br />

51.50 a<br />

0.59<br />

a,b,c, means on the same row with different superscripts are significantly varied (P < 0.05) SEM =<br />

Standard error of mean,PSB= Pleurotus sajor-caju trated bagasse, PFB= Pleurotus florida treated<br />

bagasse<br />

607


608<br />

A. Ak<strong>in</strong>femi<br />

.<br />

Menke et al., (1979) suggested that gas volume is a good parameter from<br />

which to predict digestibility, fermentation end-product and microbial prote<strong>in</strong><br />

synthesis.<br />

The high volume of gas obta<strong>in</strong>ed <strong>in</strong> the treated substrates may be the<br />

results of treatment effects on the cell wall content (NDF and ADF). This f<strong>in</strong>d<strong>in</strong>gs<br />

is <strong>in</strong> agreement with the assertion elsewhere (Sallam et al., 2007) which stated that<br />

cell wall content (NDF and ADF) were negatively correlated with gas production at<br />

all <strong>in</strong>cubation times and estimated parameters.<br />

The potential degradation of the <strong>in</strong>soluble but fermentable fraction (b, ml)<br />

ranged from 15 (PFB) to 19 (control). Fast rate (h -1 ) of gas production was obta<strong>in</strong>ed<br />

<strong>in</strong> POB (0.038) followed by the control (0.023). The fast rate obta<strong>in</strong>ed <strong>in</strong> POB<br />

could probably be <strong>in</strong>fluenced by carbohydrate fractions readily available to the<br />

microbial population (Chumpawadee et al., 2007).<br />

The higher degradation of the <strong>in</strong>soluble fraction (b ml) <strong>in</strong> the control (19.00) than<br />

the treated bagasse, though contrary to expectations, has been previously reported<br />

(Tegu<strong>in</strong> et al., 1999; Melaku et al., 2003). Melaku et al., (2003) suggested that this<br />

phenomenon could be due to the rapid rate of gas production lead<strong>in</strong>g to substrate<br />

exhaustion and limitation on the extent of gas production <strong>in</strong> the control.<br />

Table 4. Values for <strong>in</strong> vitro gas production (ml/200mg Dm) at different <strong>in</strong>cubation period<br />

Feed samples 3h 6h 9h 12h 15h 18h 21h 24h<br />

Control 2 b<br />

6 b<br />

9 9 b<br />

10 b<br />

10 c<br />

16 b<br />

21 c<br />

PSB 3 b<br />

9 a<br />

9 11 a<br />

11 ab<br />

13 b<br />

16 b<br />

29 c<br />

PFB 7 a<br />

8 a<br />

8 11 a<br />

12 a<br />

16 a<br />

21 a<br />

22 b<br />

SEM 0.27 0.19 0.27 0.33 0.33 0.19 0.69 0.47<br />

a,b,c, means on the same row with different superscripts are significantly varied (P < 0.05) SEM =<br />

Standard error of mean,PSB= Pleurotus sajor-caju trated bagasse, PFB= Pleurotus florida treated<br />

bagasse<br />

Higher values of OMD, ME and SCFA were estimated for the treated<br />

samples. S<strong>in</strong>ce treatment effects on SCFA was <strong>in</strong> favour of POB and PFB<br />

compared with the control, that suggests a potential to make energy available to<br />

rum<strong>in</strong>ants (Babayemi et al., 2006). The estimated OMD <strong>in</strong> the treated substrates is<br />

comparable to 41.1% estimated by Sallam et al., (2007) for bagasse, but higher<br />

than that estimated for rice straw, l<strong>in</strong>seed straw and date stone. The ME estimated<br />

for POB is high, but not significantly different between PFB and the control,<br />

Menke and Ste<strong>in</strong>gass (1988) reported a strong correlation between ME values<br />

measured <strong>in</strong> vivo and predicted from 24h <strong>in</strong> vitro gas production and chemical<br />

composition of feed. In addition estimated ME <strong>in</strong> the present study was found to be<br />

lower than that reported by NRC (2001).


Conclusion<br />

Upgrad<strong>in</strong>g of sugarcane bagasse by ...<br />

The fungal treated and untreated bagasse showed variation <strong>in</strong> chemical and<br />

m<strong>in</strong>eral composition, and <strong>in</strong> vitro digestibility. Based on the result obta<strong>in</strong>ed <strong>in</strong> this<br />

study, the use of fungi <strong>in</strong> treatment of bagasse is a potential method to improve the<br />

nutritional value of the substrate. However, more research is required to identify<br />

the best fungi with the highest degradation properties. It will also be necessary to<br />

test this feed on live animals so as to assess their response to the feed.<br />

Unapređenje otpadaka od prerade šećerne trske čvrstom<br />

fermentacijom sa Pleurotus sajor-caju i Pleurotus florida i<br />

uticaj na hemijski sastav i <strong>in</strong> vitro svarljivost<br />

A. Ak<strong>in</strong>femi<br />

Rezime<br />

Ispitivana je čvrsta fermentacija pomoću celulolitičnih gljiva: Pleurotus<br />

sajor-caju i Pleurotus florida <strong>za</strong> unapređenje otpadaka u preradi šećerne trske kao<br />

dodata vrednost hrani koja se koristi u ishrani preživara. Fermentacija supstrata je<br />

trajala 21 dan, nakon čega su ocenjivane promene u hemijskom i m<strong>in</strong>eralnom<br />

sastavu, kao i produkcija gasa <strong>in</strong> vitro. Dobijeni rezultati su poka<strong>za</strong>li povećanje<br />

sadržaja sirovih prote<strong>in</strong>a (%) od 6,43 (kontrola) do 9,82 <strong>za</strong> Pleurotus sajor tretirane<br />

podloge (PSB) i 10,05 <strong>za</strong> Pleurotus florida tretirane podloge (PFB). Efekat<br />

tretmana na sadržaj sirove celuloze, NDF, ADF i ADL je bio signifikantan.<br />

Tretman gljivama je uticao na smanjenje sirove celuloze (%) od 37,49 (controla)<br />

do 31,67 (PFB), NDF (%) od 65,92 (kontrola) do 53,34 (PSB), ADF (%) od 49,94<br />

do 34,79 (PSB) i ADL (% ) od 15,13 do 9,74 (PSB). Već<strong>in</strong>a esencijalnih i m<strong>in</strong>erala<br />

u tragovima je imala veće vrednosti u netretiranim otpacima šećerne trske, sa<br />

izuzetkom fosfora (0,15g/kg), magnezijuma (1,80g/kg), kalijuma (2,70g/kg) i c<strong>in</strong>ka<br />

(21,60g/kg). Degradacija nerastvorljive ali razgradive frakcije (b, ml) je bila veća u<br />

kontrolnoj grupi (19,00), <strong>za</strong>tim PSB (16,00). Procenjena svarljivost organske<br />

materije (%), masne kisel<strong>in</strong>e kratkog lanca (μ, mol) i metabolička energija (МЈ / kg<br />

DМ) povećana je sa 38,77-50,06, 0,56-0,75 i 5,33-6,80 respektivno. Zaprem<strong>in</strong>a<br />

gasova na 24h, 48h i 72h je bila pod signifikantnim uticajem tretmana (P


610<br />

References<br />

A. Ak<strong>in</strong>femi<br />

.<br />

ADENIPEKUN C.O., FASIDI I.O. (2005): Degradation of selected agricultural<br />

wastes by Pleurotus tuber-regium and Lent<strong>in</strong>us-Nigerian edible mushrooms.<br />

Advances <strong>in</strong> food science, 27, 2, 61-64.<br />

AKINFEMI A. (2010): Nutritive value and <strong>in</strong> vitro gas production of fungal treated<br />

maize cobs. Afr. J. Food. Agri. Nutr. and Dev., 10, 8, 2943-2955.<br />

AKINFEMI A., ADU O.A., DOHERTY F. (2010): Conversion of sorghum stover<br />

<strong>in</strong>to animal feed with white rot fungi: Pleurotus ostreatus and Pleurotus<br />

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Akure, Nigeria, pp, 157.<br />

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selected agricultural wastes and associated enzymes by Vovariella volvacea: An<br />

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Academic Press, Wash<strong>in</strong>gton D.C., pp 100.<br />

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Crawford, R.L., Garland J.L., Lipson D.A., Mills A.L., Stretzenboch, L.D., (Eds).<br />

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free monomeric cell-wall bound phenotic acids <strong>in</strong> maize stover by two stra<strong>in</strong>s of<br />

white rot fungi. J. Sci. Food Agric., 71, 145-150.<br />

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Chemical composition and Nutritional Evaluation of Energy feeds for rum<strong>in</strong>ant<br />

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Lent<strong>in</strong>us subnudus <strong>in</strong> Nigeria. Rev. Biol. Trop., 41, 411-415.<br />

FRAZIER C.N., WESTHOFF C.D. (1978): Food Microbiology. 3 rd Edn., McGraw<br />

Hill Inc., India, pp. 540.


Upgrad<strong>in</strong>g of sugarcane bagasse by ...<br />

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Biology and Technology of the cultivated mushrooms, 2 nd Edn. Flaggy, P.B.,<br />

Spencer D.M., Wood D.A. (Eds). John Willy and Sons, Chichester, pp. 63-80.<br />

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sources on growth Psathyrella atroumbonata (Pegler), a Nigerian edition<br />

mushroom. Food. Chem, 72, 479-483.<br />

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Thesis, University of Ibadan, Ibadan, Nigeria.<br />

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potential nutritive value for rum<strong>in</strong>ants of some tropical feedstuffs as <strong>in</strong>dicated by <strong>in</strong><br />

vitro gas production and analysis. Unpublished.<br />

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selected multipurpose trees, wheat bran and lablab purpureus as potential feed<br />

supplements of tef (Eragrostis tef) straw. Anim. Feed Sci. Technol., 108,159-179.<br />

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SCHNEIDER W. (1979): The estimation of the digestibility and metaboli<strong>za</strong>ble<br />

energy content of rum<strong>in</strong>ant feed<strong>in</strong>g stuff when they are <strong>in</strong>cubated with rumen<br />

liquor. J. Agri. Sci., 93, 217-222.<br />

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obta<strong>in</strong>ed from chemical analysis and <strong>in</strong> vitro gas production us<strong>in</strong>g rumen fluid.<br />

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council, National Academy Press. Wash<strong>in</strong>gton, D.C.<br />

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degradability <strong>in</strong> the rumen from <strong>in</strong>cubation measurement weighted accord<strong>in</strong>g to<br />

rate of passage. Journal of Agricultural Science (Cambridge), 92, 499-503.<br />

SALLAM S.M.A., NASSER M.E.A., EL-WAZIRY A.M., BUENO I.C.S.,<br />

ABDALLA A.L. (2007): Use of an <strong>in</strong> vitro gas production technique to evaluate<br />

some rum<strong>in</strong>ant feedstuffs. J. Appl. Sci. Res., 3,1, 34-41.<br />

TEGUIN A., ORSKOV E.R., KYLE D.I. (1999): A note on rum<strong>in</strong>al <strong>in</strong>sutu<br />

degradability and <strong>in</strong> vitro gas production of some West African grass species and<br />

multipurpose legume tree leaves. J. Anim. Feed Sci., 8,415-424.<br />

YAMAKAVA M., OKAM NTO H.A. (1992): Effect of <strong>in</strong>cubation with edible<br />

mushroom, Pleurotus ostreatus, on voluntary <strong>in</strong>take and digestibility of rice bran<br />

by sheep. Anim. Feed Sci. Technol., 63,133-138.<br />

Received 30 July 2012; accepted for publication 3 August 2012<br />

611


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 613-622 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 631.82<br />

DOI: 10.2298/BAH1203613K<br />

INFLUENCE OF MINERAL FERTILIZATION ON SOME<br />

BIOLOGICAL AND PRODUCTIVE INDICATORS OF<br />

NATURAL MEADOW OF AGROSTIS CAPILLARIS-<br />

FESTUCA FALLAX TYPE IN THE RHODOPE<br />

MOUNTAINS (SOUTHERN BULGARIA)<br />

Ya. Kozhouharov 1 , V. L<strong>in</strong>gorski 2<br />

1 Complex Experimental Station, 4700 Smolyan, Bulgaria<br />

2 Research <strong>Institut</strong>e of Mounta<strong>in</strong> Stockbreed<strong>in</strong>g and Agriculture, 5600 Troyan, Bulgaria<br />

Correspond<strong>in</strong>g author: vilievl@yahoo.com<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: The experiment with natural meadow of Agrostis capillaris -<br />

Festuca fallax type <strong>in</strong> Rhodope Mounta<strong>in</strong>s (Smolyan region, Southern Bulgaria)<br />

shows that accord<strong>in</strong>g to fertili<strong>za</strong>tion variants there is a clear tendency towards<br />

earlier start of active vegetation and its next phenophases. Most and almost equal<br />

amounts of dry biomass (4.38 and 4.31 t.ha -1 ) were reported <strong>in</strong> fertili<strong>za</strong>tion with<br />

N160P80K80 and N160P80, which exceeded the unfertilized control by 128.12 and<br />

124.48%, respectively. Compared with unfertilized variant, the crude prote<strong>in</strong><br />

content <strong>in</strong>creased <strong>in</strong> all fertiliz<strong>in</strong>g variants, as <strong>in</strong> complete m<strong>in</strong>eral fertili<strong>za</strong>tion with<br />

N80-160 accumulates the crudest prote<strong>in</strong> - respectively 314 g.kg -1 and 318 g.kg -1 . As<br />

regards to other study<strong>in</strong>g chemical <strong>in</strong>dicators of the forage (crude fiber, crude fat,<br />

crude ash and nitrogen-free extract substances) the m<strong>in</strong>eral fertili<strong>za</strong>tion also had an<br />

expressed positive effect.<br />

Key words: meadow, Agrostis capillaris-Festuca fallax type, fertili<strong>za</strong>tion,<br />

bioproductivity, the Rhodope Mounta<strong>in</strong>s.<br />

Introduction<br />

The meadows and pastures <strong>in</strong> the mounta<strong>in</strong>ous regions of Bulgaria have a<br />

highly productive potential as a basic and only one source of obta<strong>in</strong><strong>in</strong>g roughage<br />

for refute or pasture breed<strong>in</strong>g of animals (ma<strong>in</strong>ly sheep and cattle).<br />

The natural meadows of Agrostis capillaris-Festuca fallax type <strong>in</strong> Bulgaria<br />

occupy an area of 50 783.3 ha, which is 22.66% of the total area of natural<br />

meadows <strong>in</strong> the country (224 145.8 ha). The natural pastures of this type amounted<br />

to 82 696 ha, which is 6.76% of the total area of natural pastures <strong>in</strong> the country<br />

(1 222 896.2 ha). In Smolyan region natural meadows of this type reached 56.8%<br />

of the total area of natural meadows <strong>in</strong> the region,and annually give about 1.5-2.0


614<br />

Ya. Kozhouharov et al.<br />

t.ha -1 with good quality hay (<strong>in</strong> 100 kg hay conta<strong>in</strong><strong>in</strong>g 46 food unit and 3.41 kg<br />

digestible prote<strong>in</strong>). The natural pastures of the same type here reached 39.2% of the<br />

total area of natural pastures <strong>in</strong> the region, giv<strong>in</strong>g an annual yield of 3.6-4.4 t.ha -1<br />

green mass with good quality feed. (Cheshmedjiev, 1976; Yakimova et al., 1977).<br />

Due to irrational use and low levels of applied agricultural mach<strong>in</strong>es, the<br />

condition of natural meadows and pastures <strong>in</strong> the region is unsatisfactory.<br />

Furthermore, the ma<strong>in</strong> reasons for their low forage productivity are specific<br />

vegetation of grass stands and available natural and environmental characteristics<br />

that are typical of the region such as weak soil reserve with essential nutrients,<br />

high soil acidity, irregular ra<strong>in</strong>fall distribution, a high rough of country, etc.<br />

The conducted multiplied studies <strong>in</strong> Bulgaria (Totev, 1984; Pavlov, 1996<br />

and others) and abroad (Kasper, 1971; Sur, 1975; Sung and Kim, 1985; Grandi et<br />

al., 1989; Giraldez et al., 1993 and others) show that apart from specific natural<br />

characteristics the quality and quantity of biomass obta<strong>in</strong>ed from natural grasslands<br />

has been also <strong>in</strong>fluenced to a great extent by the level of enforcement. M<strong>in</strong>eral<br />

fertili<strong>za</strong>tion and its ways of use are among the most important <strong>in</strong> farm<strong>in</strong>g practices.<br />

The purpose of this study was to identify the changes <strong>in</strong> productivity and<br />

chemical composition of forage biomass from natural meadow of Agrostis<br />

capillaris-Festuca fallax type <strong>in</strong> the Rhodope Mounta<strong>in</strong>s (near the town of<br />

Smolyan, Southern Bulgaria) under the <strong>in</strong>fluence of m<strong>in</strong>eral fertili<strong>za</strong>tion with<br />

different rates and comb<strong>in</strong>ations of nitrogen, phosphorus and potassium fertilizers<br />

and dynamic of grass biomass accumulation dur<strong>in</strong>g a period of vegetation and <strong>in</strong><br />

different phenophases of grass growth.<br />

Materials and Methods<br />

The field experiment was conducted dur<strong>in</strong>g the 1992-1994 period, on<br />

natural meadow of Agrostis capillaris-Festuca fallax type <strong>in</strong> the Rhodope<br />

Mounta<strong>in</strong>s (near the town of Smolyan, Southern Bulgaria) at 1100 m altitude. The<br />

soil <strong>in</strong> the area of experiment was a brown forest with light mechanical structure<br />

because the chemical composition was characterized by a middle reserve of humus<br />

and a low total nitrogen and phosphorus. Low values were established by water<br />

soluble forms of nitrogen, phosphorus and molybdenum and the reserve of water<br />

soluble forms of potassium and boron was optimum. The soil reaction was acidic.<br />

The block-method was used <strong>in</strong> four repetitions and the harvest<strong>in</strong>g plot area<br />

of 25 m 2 with the follow<strong>in</strong>g fertilizer rates <strong>in</strong> kg per 1 ha as variants: 1. N0P0K0<br />

(unfertilized variant) – Control; fertili<strong>za</strong>tion variants: 2. N80; 3. P80; 4. K80; 5.<br />

N80P80; 6. N80K80; 7. P80K80; 8. N80P80K80; 9. N160; 10. N160P80; 11. N160K80; 12.<br />

N160P80K80. The fertili<strong>za</strong>tion was accomplished annually, <strong>in</strong> early spr<strong>in</strong>g and<br />

shortly before the beg<strong>in</strong>n<strong>in</strong>g of active vegetation of grasses, with nitrogen (as<br />

ammonium nitrate), phosphorus (as superphosphate) and potassium (as potassium


Influence of m<strong>in</strong>eral fertili<strong>za</strong>tion ...<br />

sulphate). The trial plots were hay-mak<strong>in</strong>g by hand <strong>in</strong> full flower<strong>in</strong>g phenophase of<br />

grasses.<br />

Dur<strong>in</strong>g the conduction of the field experiment <strong>in</strong>formation about the<br />

follow<strong>in</strong>g <strong>in</strong>dicators was collected:<br />

1. Time for pass<strong>in</strong>g of the ma<strong>in</strong> phenophases of grasses - through visual<br />

observation by Rudenko-method.<br />

2. Growth swiftness of grasses – such as complete stalk shoot<strong>in</strong>g, ear-formation<br />

and full flower<strong>in</strong>g phenophases – by date.<br />

3. Dry mass (DM) yields (<strong>in</strong> t.ha -1 ) - it was established by dry<strong>in</strong>g constant weight<br />

at 105 0 C of 0.5 kg green mass samples, taken immediately after cutt<strong>in</strong>g each trial<br />

plot and repetition. It was reported for years and average for the experimental<br />

period.<br />

4. Chemical composition of the absolutely dry matter – crude prote<strong>in</strong> content (by<br />

Kieldahl-method); of crude fiber (by Kyushner and Haver-method); of crude fat –<br />

by ether extract; of nitrogen-free extract substances (NFES) – the amount<br />

difference among crude prote<strong>in</strong>, crude fiber, crude fat and crude ash; of crude ash –<br />

by weigh<strong>in</strong>g.<br />

The daily temperatures for each of the months <strong>in</strong> the Smolyan region for<br />

the 1977-1996 period characterize the region by mild w<strong>in</strong>ters, cool spr<strong>in</strong>gs and<br />

summers without too much heat and with relatively warm autumn months. The<br />

temperature regime significantly <strong>in</strong>fluenced the growth of grasses the duration of<br />

vegetation period as well as the accumulation <strong>in</strong>tensity of green mass and dry<br />

matter.<br />

For the same 20-annual period the humidity was relatively high and annual<br />

ra<strong>in</strong>falls (1180.2 l/m 2 ) were almost two times more than the average amount of the<br />

country (620 l/m 2 ). The ra<strong>in</strong>fall is unevenly distributed. There is clearly marked<br />

w<strong>in</strong>ter and spr<strong>in</strong>g-summer ra<strong>in</strong>fall maximum, as ra<strong>in</strong>falls <strong>in</strong> April, May and June<br />

are crucial for the natural grasslands productivity. The ra<strong>in</strong>fall reduction dur<strong>in</strong>g<br />

July, August and September has a negative impact on productivity of grasslands.<br />

Results and Discussion<br />

Time for pass<strong>in</strong>g of the ma<strong>in</strong> grass phenophases. From Table 1 it is<br />

obvious, that <strong>in</strong> 1992 the grow<strong>in</strong>g-up phenophase <strong>in</strong> the control occurred on 05.05.,<br />

while self-fertili<strong>za</strong>tion with nitrogen (regardless of its rate), with phosphorus or<br />

potassium, <strong>in</strong> comb<strong>in</strong>ed fertili<strong>za</strong>tion (var. 5-7 and var. 10-11) and <strong>in</strong> complete<br />

m<strong>in</strong>eral fertili<strong>za</strong>tion (var. 8 and 12) – on 02.05.-03.05. Similar differences <strong>in</strong><br />

control were observed <strong>in</strong> other stages. So, compared to fertili<strong>za</strong>tion variants the<br />

stalk shoot<strong>in</strong>g <strong>in</strong> var. 1 also occurred later – on 08.06., as aga<strong>in</strong>st 05.06.-07.06. <strong>in</strong><br />

self- and comb<strong>in</strong>ed fertili<strong>za</strong>tion with lower rates (80 kg.ha -1 ) and on 01.06.-02.06.<br />

<strong>in</strong> var. 8-12. That same year, the ear-emergence stage <strong>in</strong> the control also occurred<br />

later – only on 30.06., while <strong>in</strong> other variants varied from 20.06. tо 22.06. (<strong>in</strong><br />

615


616<br />

Ya. Kozhouharov et al.<br />

complete m<strong>in</strong>eral fertili<strong>za</strong>tion as well as self- and comb<strong>in</strong>ed fertili<strong>za</strong>tion with N160).<br />

In self- and comb<strong>in</strong>ed fertili<strong>za</strong>tion with lower rates this stage occurred towards<br />

25.06.-28.06.<br />

Таble 1. Time for pass<strong>in</strong>g of the ma<strong>in</strong> phenophases of grasses by years and dates.<br />

Fertili<strong>za</strong>tion<br />

variants<br />

Grow<strong>in</strong>g-up Stalk shoot<strong>in</strong>g Ear-formation Flower<strong>in</strong>g<br />

1992 1993 1994 1992 1993 1994 1992 1993 1994 1992 1993 1994<br />

1.N0P0K 0(Control) 05.05. 07.05. 08.05. 08.06. 07.06. 10.06. 30.06. 27.06. 04.07. 22.07. 23.07. 24.07.<br />

2. N80 03.05. 04.05. 05.05. 05.06. 04.06. 07.06. 25.06. 23.06. 28.06. 20.07. 19.07. 21.07.<br />

3. Р80 03.05. 05.05. 06.05. 07.06. 07.06. 08.06. 28.06. 25.06. 03.07. 22.07. 22.07. 23.07.<br />

4. К80 02.05. 05.05. 07.05. 07.06. 06.06. 08.06. 28.06. 26.06. 04.07. 23.07. 20.07. 22.07.<br />

5. N80P80 03.05. 04.05. 05.05. 05.06. 04.06. 06.06. 22.06. 23.06. 26.06. 18.07. 17.07. 19.07.<br />

6.N80K80 02.05. 03.05. 05.05. 06.06. 05.06. 06.06. 26.06. 24.06. 27.06. 22.07. 20.07. 19.07.<br />

7. Р80К80 02.05. 05.05. 07.05. 07.06. 07.06. 08.06. 28.06. 25.06. 03.07. 21.07. 21.07. 22.07.<br />

8.N80P80K80 02.05. 02.05. 03.05. 02.06. 02.06. 03.06. 22.06. 23.06. 23.06. 14.07. 15.07. 16.07.<br />

9. N160 02.05. 03.05. 03.05. 01.06. 02.06. 01.06. 22.06. 22.06. 23.06. 18.07. 19.07. 18.07.<br />

10. N160P80 03.05. 03.05. 04.05. 01.06. 01.06. 30.05. 21.06. 21.06. 21.06. 15.07. 13.07. 13.07.<br />

11. N160K80 02.05. 03.05. 03.05. 02.06. 01.06. 01.06. 22.06. 22.06. 22.06. 14.07. 15.07. 15.07.<br />

03.05. 03.05. 04.05. 01.06. 01.06. 02.06. 20.06. 21.06. 21.06. 13.07. 15.07. 14.07.<br />

12.N 160P 80K 80<br />

The full flower<strong>in</strong>g stage occurred later <strong>in</strong> fertili<strong>za</strong>tion with K80, Р80, N80K80,<br />

Р80K80 and <strong>in</strong> unfertilized control – between 21.06.-23.06., and earliest <strong>in</strong> complete<br />

m<strong>in</strong>eral fertili<strong>za</strong>tion (var. 12) and comb<strong>in</strong>ed fertili<strong>za</strong>tion with N80-160 – dur<strong>in</strong>g the<br />

13.06.-18.06. period. Тhus, fertili<strong>za</strong>tion with N80P80K80, N160K80 and N160P80 reduced<br />

the time from grow-up beg<strong>in</strong>n<strong>in</strong>g to full flower<strong>in</strong>g of 7 days, and fertili<strong>za</strong>tion with<br />

N160P80K80 - of 8 days. From Table 1 it is clear, that generally self-fertili<strong>za</strong>tion with<br />

nitrogen, phosphorus or potassium does not lead to significant differences needed<br />

for the ma<strong>in</strong> stages of grasses.<br />

Dur<strong>in</strong>g next year (1993) unfertilized control phenophases occurred later than<br />

fertili<strong>za</strong>tion variants. As a result, the start of the grow-up <strong>in</strong> control occurred on<br />

07.05., while the early onset of vegetation was found <strong>in</strong> fertili<strong>za</strong>tion with N80P80K80<br />

– still on 02.05.<br />

The comb<strong>in</strong>ed fertili<strong>za</strong>tion with lower and higher rates and complete<br />

fertili<strong>za</strong>tion with N160P80K80 caused vegetation on 03.05., while self- and comb<strong>in</strong>ed<br />

fertili<strong>za</strong>tion with N80P80 – on 04.06.-05.06. The next phenophase - the stalk shoot<strong>in</strong>g<br />

occurred later <strong>in</strong> the control and fertili<strong>za</strong>tion with Р80 and P80K80 – on 07.06., and<br />

earliest <strong>in</strong> comb<strong>in</strong>ed and complete m<strong>in</strong>eral fertili<strong>za</strong>tion with N160 – still on 01.06.,<br />

and other variants occupied an <strong>in</strong>termediate position.<br />

The earliest ear-formation stage aga<strong>in</strong> occurred <strong>in</strong> self-, comb<strong>in</strong>ed and<br />

complete m<strong>in</strong>eral fertili<strong>za</strong>tion with N160 – on 21.06.-22.06., аnd later aga<strong>in</strong> <strong>in</strong><br />

unfertilized control – barely on 27.06. In other fertiliz<strong>in</strong>g variants this stage


Influence of m<strong>in</strong>eral fertili<strong>za</strong>tion ...<br />

occurred <strong>in</strong> the period 23.06.-26.06. The earliest full flower<strong>in</strong>g stage was<br />

established <strong>in</strong> fertili<strong>za</strong>tion with N160P80 – still on 13.07., followed by var. 8, 11 and<br />

12 – on 15.07., but the latest was the flower<strong>in</strong>g of control variant – 8 days later (on<br />

23.06.).<br />

The other study<strong>in</strong>g variants were <strong>in</strong> an <strong>in</strong>termediate position <strong>in</strong> relation to<br />

the occurrence of that stage. It is seen that <strong>in</strong> 1993 the complete m<strong>in</strong>eral<br />

fertili<strong>za</strong>tion (вар. 8 and 12) reduced the time from grow<strong>in</strong>g-up to full flower<strong>in</strong>g by<br />

3 and 4 days, comb<strong>in</strong>ed fertili<strong>za</strong>tion with N80P80 (var. 5) – by 3 days, comb<strong>in</strong>ed<br />

fertili<strong>za</strong>tion with N160 (var. 10 and 11) – by 6 and 3 days, respectively, while selffertili<strong>za</strong>tion<br />

(regardless of norm) occupied an <strong>in</strong>termediate position.<br />

In the last year of study (1994) the grow<strong>in</strong>g-up phenophase aga<strong>in</strong> occurred<br />

later <strong>in</strong> the control variant – at 08.05., followed by self-fertili<strong>za</strong>tion with К80 and<br />

comb<strong>in</strong>ed fertili<strong>za</strong>tion with P80K80 – of 07.05. The earliest occurrence of this stage<br />

was reported <strong>in</strong> fertili<strong>za</strong>tion with N80P80K80, N160 and N160K80 – of 03.05., while the<br />

other studied variants ranged from 04.05. (var. 10 and 12) tо 06.05. (var. 3). The<br />

next phenophase (the stalk shoot<strong>in</strong>g) occurred earliest (as early as 30.05.) <strong>in</strong><br />

fertili<strong>za</strong>tion with N160P80, followed by var. 9 and 11 (fertili<strong>za</strong>tion with N160 and<br />

N160K80) – to 01.06., and latest aga<strong>in</strong> <strong>in</strong> unfertilized control – only 10.06. In other<br />

variants this stage occurred between the periods 02.06. (var. 12) – 08.06. (var. 3, 4<br />

and 7). In most study<strong>in</strong>g variants (eight) the next phenophase (the ear-formation)<br />

occurred <strong>in</strong> June (more on 21.06.) and it was established <strong>in</strong> fertili<strong>za</strong>tion with<br />

N160P80 and N160P80K80, and latest <strong>in</strong> control and self-fertili<strong>za</strong>tion with K80 – only<br />

04.07., followed by fertili<strong>za</strong>tion with Р80 and P80K80 – on 03.07., while the other<br />

variants occupied an <strong>in</strong>termediate position regard<strong>in</strong>g the occurrence of this<br />

phenophase. The same year, the full flower<strong>in</strong>g occurred earliest after the complete<br />

m<strong>in</strong>eral fertili<strong>za</strong>tion with N160P80 - still on 13.07., and latest (after 11 days) <strong>in</strong><br />

control – 24.07., followed by self-fertili<strong>za</strong>tion with nitrogen, phosphorus or<br />

potassium (var. 2, 3 and 4) and comb<strong>in</strong>ed fertili<strong>za</strong>tion with Р80К80 – between 21.06<br />

and 23.06. The same table shows that most of the time from the start of the<br />

grow<strong>in</strong>g-up phenophase to full flower<strong>in</strong>g stage was reduced <strong>in</strong> fertili<strong>za</strong>tion with<br />

N160P80 – with 7 days, followed by complete m<strong>in</strong>eral fertili<strong>za</strong>tion with N160P80K80<br />

and N160K80 – by 6 and 4 days, respectively.<br />

In generali<strong>za</strong>tion, differences <strong>in</strong> the occurrence of the ma<strong>in</strong> phenophases<br />

are not only due to differences <strong>in</strong> application of m<strong>in</strong>eral fertilizers (such as<br />

comb<strong>in</strong>ations and rates), but the exist<strong>in</strong>g weather conditions dur<strong>in</strong>g the vegetation<br />

period of the correspond<strong>in</strong>gly year. However, dur<strong>in</strong>g the study, the fertiliz<strong>in</strong>g<br />

variant observed a clear trend towards earlier <strong>in</strong>itiation of active vegetation and<br />

hence to an earlier onset of the next phenophase of grasses, although the<br />

predom<strong>in</strong>ant species <strong>in</strong> grass stand (Agrostis capillaris) is characterized by a slow<br />

growth.<br />

Productive potential of the grass area.The results from Table 2 show that<br />

compared with unfertilized control the grass area productivity exceeded<br />

617


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Ya. Kozhouharov et al.<br />

significantly <strong>in</strong> the study<strong>in</strong>g fertili<strong>za</strong>tion variants as early as the first year of the<br />

experiment (1992). Thus, the obta<strong>in</strong>ed dry mass <strong>in</strong> self-fertiliz<strong>in</strong>g variant with<br />

nitrogen, phosphorus or potassium <strong>in</strong> rates 80 kg.ha -1 (var. 2, 3 and 4) exceeded<br />

unfertilized variant by 54.59, 35.20 and 14.79%, respectively. The comb<strong>in</strong>ed<br />

fertili<strong>za</strong>tion with the same rates (var. 5, 6 and 7) <strong>in</strong>creased <strong>in</strong> greater yields<br />

compared to the control – by 79.08, 68.37 and 55.10%, while the complete<br />

fertili<strong>za</strong>tion (var. 8) was double the excess – with 104.08%. Doubl<strong>in</strong>g the rate of<br />

nitrogen (160 kg.ha -1 ), despite its own, double or triple comb<strong>in</strong>ation (var. 9-12)<br />

resulted <strong>in</strong> an <strong>in</strong>crease of dry biomass obta<strong>in</strong>ed from 4.04-4.41 t.ha -1 , which was<br />

more 106.12-125.00% compared with unfertilized control.<br />

Table 2. Dry matter yields (t.ha -1 ) by years and average for the 1992-1994 period.<br />

Fertili<strong>za</strong>tion 1992 1993 1994 Average Proof<br />

variants<br />

for the period<br />

t.ha -1<br />

% t.ha -1<br />

% t.ha -1<br />

% t.ha -1<br />

%<br />

1. N0P0K0 (Control) 1.96 100.00 1.73 100.00 2.07 100.00 1.92 100.00 -<br />

2. N80 3.03 154.59 2.82 163.00 2.96 142.99 2.94 153.12 +<br />

3. Р80 2.65 135.20 2.46 142.20 2.61 126.09 2.57 133.85 -<br />

4. К80 2.25 114.79 2.02 116.76 2.11 101.93 2.13 110.94 -<br />

5. N80P80 3.51 179.08 3.64 210.40 3.76 181.64 3.64 189.58 +++<br />

6. N80K80 3.30 168.37 3.16 182.66 3.27 157.97 3.24 168.75 ++<br />

7. Р80К80 3.04 155.10 2.91 168.21 2.98 143.96 2.98 155.21 +<br />

8. N80P80K80 4.00 204.08 3.98 230.06 4.08 197.10 4.02 209.37 +++<br />

9. N160 4.04 206.12 3.90 225.43 4.08 197.10 4.00 208.33 +++<br />

10. N160P80 4.27 217.86 4.11 237.57 4.57 220.77 4.31 224.48 +++<br />

11. N160K80 4.09 208.67 4.03 232.95 4.18 201.93 4.10 213.54 +++<br />

12. N160P80K80 LSD 0.05<br />

23.7<br />

LSD 0.01<br />

34.5<br />

4.41 225.00 4.22 243.93 4.50 217.39 4.38 228.12 +++<br />

The same table shows that over the next year (1993) dry mass yields<br />

decreased <strong>in</strong> all variants compared with the previous year. So <strong>in</strong> the control variant<br />

there was 1.13 times decrease, <strong>in</strong> self-fertiliz<strong>in</strong>g with nitrogen, phosphorus or<br />

potassium <strong>in</strong> rates 80 kg.ha -1 – from 1.07 to 1.11 times, <strong>in</strong> the comb<strong>in</strong>ed<br />

fertili<strong>za</strong>tion with the same rates (var. 6 and 7) – 1.04 times, <strong>in</strong> complete<br />

fertili<strong>za</strong>tion (var. 8) – 1.00 time. Doubl<strong>in</strong>g the rate of nitrogen, whether selfdependent,<br />

double or triple comb<strong>in</strong>ation (var. 9-12) decrease was from 1.01 to 1.04<br />

times. The excess compared to the control <strong>in</strong> the obta<strong>in</strong>ed dry mass varied by type<br />

and rates of fertilizers. Thus, <strong>in</strong> self-fertili<strong>za</strong>tion (var. 2, 3 and 4) was less and<br />

amounted to 63.00, 42.20 and 16.76%, <strong>in</strong> comb<strong>in</strong>ed fertili<strong>za</strong>tion with N80K80 and<br />

Р80К80 reached 82.66 and 68.21%, whereas comb<strong>in</strong>ed fertili<strong>za</strong>tion with N160Р80K80


Influence of m<strong>in</strong>eral fertili<strong>za</strong>tion ...<br />

was the more - over a 143.93%. The other variants <strong>in</strong> comb<strong>in</strong>ation with N160<br />

occupied an <strong>in</strong>termediate position.<br />

In the last year of study (1994) dry mass yields <strong>in</strong>creased compared to<br />

those that were obta<strong>in</strong>ed <strong>in</strong> 1993 as follows: 1.20 times under control, by 1.04 to<br />

1.06 times <strong>in</strong> self-fertiliz<strong>in</strong>g with nitrogen, phosphorus or potassium at a rate 80<br />

kg.ha -1 , 1.02 to 1.03 times <strong>in</strong> comb<strong>in</strong>ed fertili<strong>za</strong>tion with the same rates, while<br />

<strong>in</strong>creas<strong>in</strong>g the nitrogen alone, or comb<strong>in</strong>ed with a comprehensive <strong>in</strong>troduction<br />

phosphorus and/or potassium reached by 1.04 to 1.11 times. Nearly identical and<br />

maximum yields for the year were obta<strong>in</strong>ed by fertili<strong>za</strong>tion with N160P80 (4.57 t.ha -<br />

1 ) and N160P80K80 (4.50 t.ha -1 ), as their excess <strong>in</strong> comparison with the unfertilized<br />

control reached 120.77 и 117.39%. Relatively small excess was <strong>in</strong> self-fertiliz<strong>in</strong>g<br />

with nitrogen, phosphorus or potassium <strong>in</strong> rates 80 kg.ha -1 (var. 2, 3 and 4) –<br />

respectively 42.99, 26.09 and only 1.93%, and <strong>in</strong> comb<strong>in</strong>ed fertili<strong>za</strong>tion <strong>in</strong> the<br />

same rates (var. 5, 6 and 7) – respectively 81.64, 57.97 and 43.96%. The other<br />

variants of fertili<strong>za</strong>tion occupied an <strong>in</strong>termediate position <strong>in</strong> the dry mass<br />

productivity.<br />

Average for the experimental period (1992-1994) nearly equal amounts of<br />

dry biomass were obta<strong>in</strong>ed after fertili<strong>za</strong>tion with N160P80K80 and N160P80 – 4.38<br />

and 4.30 t.ha -1 , this exceeded the unfertilized control respectively 128.12 and<br />

124.48%. Significantly (by 109.37%) the dry matter yields were <strong>in</strong>creased <strong>in</strong><br />

complete m<strong>in</strong>eral fertili<strong>za</strong>tion with N80P80K80 (var. 8).<br />

It is evident that nitrogen self-fertiliz<strong>in</strong>g <strong>in</strong>creased the dry mass<br />

productivity of natural meadow Agrostis capillarys - Festuca fallax type, while the<br />

self phosphorus and potassium fertili<strong>za</strong>tion did not cause significant changes <strong>in</strong> the<br />

yield of dry matter. To a certa<strong>in</strong> extent the effectiveness of potassium was<br />

<strong>in</strong>creased <strong>in</strong> comb<strong>in</strong>ation with N80 and significant <strong>in</strong> comb<strong>in</strong>ation with N160. On the<br />

productivity of dry matter comb<strong>in</strong>ed phosphorous-potassium, nitrogen-potassium<br />

and nitrogen-phosphorous fertilizers <strong>in</strong>creased the yields and the differences<br />

compared with unfertilized variant were well and very well demonstrated (++ ;<br />

+++). The complete m<strong>in</strong>eral fertili<strong>za</strong>tion <strong>in</strong> rates of 80 and 160 kg.ha -1 nitrogen<br />

together with phosphorus and potassium <strong>in</strong>creased productivity of grass stand <strong>in</strong><br />

significantly higher compared with their self or comb<strong>in</strong>ed use. The complete<br />

m<strong>in</strong>eral fertili<strong>za</strong>tion with N80P80K80 was less effective <strong>in</strong> terms of dry matter yield<br />

compared to fertili<strong>za</strong>tion with N160P80. This showed that <strong>in</strong>creas<strong>in</strong>g the rates of<br />

nitrogen had significantly greater effect on the addition of potassium <strong>in</strong> the lower<br />

nitrogen part <strong>in</strong> fertilizer comb<strong>in</strong>ation. It is clear, that <strong>in</strong> comb<strong>in</strong>ation with different<br />

m<strong>in</strong>eral fertilizers potassium <strong>in</strong>hibited the effects of nitrogen and phosphorus part.<br />

Chemical composition of the grass biomass The changes <strong>in</strong> the chemical<br />

content of forage biomass (Table 3) show that on average dur<strong>in</strong>g the study<br />

compared with unfertilized control the crude prote<strong>in</strong> content <strong>in</strong> dry matter<br />

<strong>in</strong>creased <strong>in</strong> all fertilized variants. It is clear that the complete fertili<strong>za</strong>tion as a N80,<br />

619


620<br />

Ya. Kozhouharov et al.<br />

and with N160, aroused the highest crude prote<strong>in</strong> content – respectively 314 g.kg -1<br />

and 318 g.kg -1 . The comb<strong>in</strong>ation of nitrogen and potassium also added to significant<br />

amounts of crude prote<strong>in</strong> - 312 g.kg -1 at fertili<strong>za</strong>tion with N80K80 and 314 g.kg -1 at<br />

fertili<strong>za</strong>tion with N160K80. Although the comb<strong>in</strong>ation with nitrogen, phosphorus and<br />

potassium <strong>in</strong>creased the nutritional value of dry matter, they did not cause a<br />

significant <strong>in</strong>crease <strong>in</strong> the crude prote<strong>in</strong> content. Regardless of the size of the<br />

fertilizer rate (80 or 160 kg.ha -1 ), the lowest values of crude prote<strong>in</strong> <strong>in</strong> dry matter<br />

were recorded <strong>in</strong> nitrogen self-fertili<strong>za</strong>tion – respectively 248 and 267 g.kg -1 , as<br />

well as phosphorus and potassium self-fertili<strong>za</strong>tion - 276 and 288 g.kg -1 .<br />

The complete m<strong>in</strong>eral fertili<strong>za</strong>tion with N80-160 lower <strong>in</strong> most fiber content <strong>in</strong><br />

dry matter – correspond<strong>in</strong>g to 249 and 256 g.kg -1 and the unused of fertilizers (as it<br />

<strong>in</strong> control) and self-fertili<strong>za</strong>tion or <strong>in</strong> comb<strong>in</strong>ations with them <strong>in</strong>creased reach<strong>in</strong>g<br />

280 g.kg -1 (fertili<strong>za</strong>tion with N80P80) to 318 g.kg -1 (fertili<strong>za</strong>tion with N80) - 333 g.kg -<br />

1 (control).<br />

Таble 3. Chemical composition of the grass biomass (g.kg -1 DM) average for the 1992-1994<br />

period.<br />

Fertili<strong>za</strong>tion<br />

variants<br />

Crude prote<strong>in</strong> Crude fiber Crude fat NFES Crude ash<br />

1. N0P0K0 (Control) 185 333 50 369 63<br />

2. N80 248 318 51 341 42<br />

3. Р80 276 290 53 348 33<br />

4. К80 288 294 53 345 20<br />

5. N80P80 305 280 52 340 23<br />

6. N80K80 312 261 52 340 35<br />

7. Р80К80 306 263 53 349 29<br />

8. N80P80K80 314 249 54 320 63<br />

9. N160 267 284 53 328 68<br />

10. N160P80 312 270 54 310 36<br />

11. N160K80 314 265 54 312 55<br />

12. N160P80K80 318 256 55 316 55<br />

The same table shows that regardless of unused or fertilizer application,<br />

crude fat varied <strong>in</strong> relatively small limits, <strong>in</strong>creas<strong>in</strong>g from self-fertili<strong>za</strong>tion to the<br />

comb<strong>in</strong>ed fertili<strong>za</strong>tion and from lower to higher rates of fertilizers. Thus, the least<br />

crude fat (50 g.kg -1 ) were found <strong>in</strong> the dry matter of unfertilized control, of selffertili<strong>za</strong>tion<br />

with nitrogen, phosphorus or potassium (var. 2-4) gradually <strong>in</strong>creased<br />

to 51-53 g.kg -1 , the comb<strong>in</strong>ed fertili<strong>za</strong>tion (var. 5-7) – 52-53 g.kg -1 , the comb<strong>in</strong>ed<br />

fertili<strong>za</strong>tion with N160 (var. 10-11) – 54 g.kg -1 , and the complete m<strong>in</strong>eral<br />

fertili<strong>za</strong>tion (var. 12) were the most - 55 g.kg -1 .<br />

Regard<strong>in</strong>g the content of nitrogen-free extract substances (NFES) opposite<br />

tendency was observed as the highest value (369 g.kg -1 ) was reported <strong>in</strong> control.<br />

With the application of m<strong>in</strong>eral fertilizers decreased values <strong>in</strong> self-fertili<strong>za</strong>tion (var.


Influence of m<strong>in</strong>eral fertili<strong>za</strong>tion ...<br />

2-4) - 341-348 g.kg -1 and the comb<strong>in</strong>ed fertili<strong>za</strong>tion (var. 5-7) - 340-349 g.kg -1 to the<br />

complete fertili<strong>za</strong>tion (var. 12 and 8) - 316-320 g.kg -1 .<br />

The crude ash content varied <strong>in</strong> relatively wide ranges, the maximum value<br />

reached dur<strong>in</strong>g fertili<strong>za</strong>tion with N160, the complete fertili<strong>za</strong>tion (var.8) as well as<br />

control – respectively 68, 63 and 63 g.kg -1 . At least crude ash <strong>in</strong> dry matter was <strong>in</strong><br />

fertili<strong>za</strong>tion with К80, N80P80 and Р80К80 – 20, 23 and 29 g.kg -1 , and other variants<br />

occupied an <strong>in</strong>termediate position.<br />

Conclusion<br />

The experiment with a natural meadow of Agrostis capillaris-Festuca<br />

fallax type <strong>in</strong> Rhodope Mounta<strong>in</strong>s (Smolyan region, Southern Bulgaria) shows that<br />

accord<strong>in</strong>g to fertili<strong>za</strong>tion variants there is a clear tendency towards earlier start of<br />

active vegetation and its next phenophases.<br />

Most and almost equal amounts of dry biomass (4.38 and 4.31 t.ha -1 ) were<br />

reported <strong>in</strong> fertili<strong>za</strong>tion with N160P80K80 and N160P80, which exceeded the<br />

unfertilized control by 128.12 и 124.48%, respectively.<br />

Compared with unfertilized variant, the crude prote<strong>in</strong> content <strong>in</strong>creased <strong>in</strong><br />

all fertiliz<strong>in</strong>g variants, as <strong>in</strong> complete m<strong>in</strong>eral fertili<strong>za</strong>tion with N80-160 accumulates<br />

the crudest prote<strong>in</strong> - respectively 314 g.kg -1 and 318 g.kg -1 .<br />

As regards to other study<strong>in</strong>g chemical <strong>in</strong>dicators of the forage (crude fiber, crude<br />

fat, crude ash and nitrogen-free extract substances) the m<strong>in</strong>eral fertili<strong>za</strong>tion also<br />

had an expressed positive effect.<br />

Uticaj m<strong>in</strong>eralnog dubrenja na neke biološke I proizvodne<br />

<strong>in</strong>dikatore prirodnih livada tipa Agrostis capillaris-festuca<br />

fallax u rodopskim plan<strong>in</strong>ama (južna Bugarska)<br />

Ya. Kozhouharov, V. L<strong>in</strong>gorski<br />

Rezime<br />

Ogled na prirodnim livadama tipa Agrostis capillaris - Festuca fallax u<br />

rodopskim plan<strong>in</strong>ama (oblast Smoljan, južna Bugarska), prema varijantama<br />

đubrenja, pokazuje jasnu tendenciju ranije početka aktivne vegetacije i njenih<br />

kasnijih feno-fa<strong>za</strong>.<br />

Utvrđene su skoro identične količ<strong>in</strong>e biomase (4.38 and 4.31 t.ha -1 ) u<br />

varijantama đubrenja sa N160P80K80 i N160P80, sa vrednostima iznad kontrole bez<br />

đubrenja od 128,12 i 124,48%, respektivno.<br />

621


622<br />

Ya. Kozhouharov et al.<br />

U poređenju sa neđubrenom varijantom, sadržaj sirovog prote<strong>in</strong>a se<br />

povećao u varijantama sa đubrenjem, jer se u slučaju potpunog N đubrenja sa N80-<br />

160 akumulira sirovih prote<strong>in</strong>a – respektivno 314 gkg -1 i 318 gkg -1 .<br />

U vezi sa ostalim ispitivanim hemijskim parametrima krmiva (sirova<br />

celulo<strong>za</strong>, pepeo i be<strong>za</strong>zotne materije), m<strong>in</strong>eralno đubrenje je imalo pozitivan uticaj<br />

i na njih.<br />

References<br />

CHESHMEDJIEV B. (1976): Feed characteristics of the natural pastures and<br />

meadows <strong>in</strong> Bulgaria. Dissertation on PhD of Agricultural Sciences, Sofia.<br />

GIRALDEZ F., ALVARES J., MARTINES F., SOLIS S. (1993): Rum<strong>in</strong>al<br />

degradation of hay from permanent pastures. Effect of stage of maturity, Archives<br />

de Zootechnica, 42, 156, 13-20.<br />

GRANDI A., CAGIOTTI M., BLASSI F. (1989): Investigation of flora<br />

productivity and nutritive value of meadow pasture <strong>in</strong> Ragnolo Macerata.<br />

Zootechnica e Nutrizione <strong>Animal</strong>e, 15, 2, 115-133.<br />

KASPER J. (1971): Prosperok k stud<strong>in</strong>zmien v chemickom zloteny docasnych<br />

travnicu parastov pri razdielny dusteatej vyzive. Redecke Prace, VULP Banska<br />

Bistrica, 6, 111-137.<br />

PAVLOV D. (1996): Productivity, nutritive value, qualitative characteristics of<br />

different groups forage plants and possibilities for their prediction. Dissertation on<br />

PhD of Agricultural Sciences, Stara Zagora.<br />

SUNG K., KIM C. (1985): Effect of <strong>in</strong>take on digestibility of grass hay harvested<br />

at different cutt<strong>in</strong>g dates, Journal of the Korean Society of Grassland Science, 5, 2,<br />

111-115.<br />

SUR D. (1977): Vpliv vizivy a viuzivania na d<strong>in</strong>amiku narastania hmoty na<br />

prirodzenom travnom parasite. Redecke Prace, VULP Banska Bistrica, 9, 49.<br />

TOTEV Т. (1984): Investigations on the regeneration and utili<strong>za</strong>tion of natural<br />

meadows and pastures <strong>in</strong> the upland mounta<strong>in</strong>ous and alp<strong>in</strong>e regions of central part<br />

of the Balkan range. Dissertation on PhD of Agricultural Sciences, Troyan.<br />

YAKIMOVA YA., OUZUNOV M., PETROVSKI N., POPOV I., MITEV M.<br />

(1977): Improvement and utili<strong>za</strong>tion of natural meadows and pastures. Zemizdat,<br />

Sofia, pp. 282.<br />

Received 18 June 2012; accepted for publication 16 August 2012


<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> 28 (3), p 623-633 , 2012 ISSN 1450-9156<br />

Publisher: <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun UDC 636.09<br />

DOI: 10.2298/BAH1203623D<br />

CONTROL OF BROWN RAT (Rattus norvegicus) ON A<br />

DAIRY FARM IN SERBIA<br />

S. Đedovic¹, M. Vukša 1 , M. M. Petrović 2 , J. Bojkovski 3 , I. Pavlović 4 , G.<br />

Jokić¹, B. Stojnić 5<br />

1<br />

Laboratory of Applied, <strong>Institut</strong>e of Pesticides and Environmental Protection, Banatska 31b,<br />

Belgrade, Serbia<br />

2<br />

<strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Autoput 16, Belgrade, Serbia<br />

3<br />

University of Belgrade, Faculty of Veter<strong>in</strong>ary Medic<strong>in</strong>e, Bulevar oslobođenja 18, Belgrade, Serbia<br />

4<br />

Scientific <strong>Institut</strong>e of Veter<strong>in</strong>ary Medic<strong>in</strong>e of Serbia, Belgrade, V. Toze 14, Belgrade, Serbia<br />

5<br />

University of Belgrade, Faculty of Agriculture, Nemanj<strong>in</strong>a 6, Belgrade, Serbia<br />

Correspond<strong>in</strong>g author: Su<strong>za</strong>na.Djedovic@pest<strong>in</strong>g.org.rs<br />

Orig<strong>in</strong>al scientific paper<br />

Abstract: Rattus norvegicus is a synanthropic species liv<strong>in</strong>g almost<br />

exclusively around facilities for keep<strong>in</strong>g domestic animals. This three-year<br />

research focused on options for reduc<strong>in</strong>g economic damage caused by this rodent<br />

species <strong>in</strong> stables for heavy milk<strong>in</strong>g cows by test<strong>in</strong>g preparations with active<br />

substances of various orig<strong>in</strong>. It <strong>in</strong>volved an environmentally friendly product based<br />

on sodium selenite 0.1%, a cholecalciferol-based natural product 0.75%, as well as<br />

anticoagulant rodenticides conta<strong>in</strong><strong>in</strong>g the active substances bromadiolone 0.005%<br />

and brodifacoum 0.005%. These preparations were formulated as granules, plate<br />

bait or gra<strong>in</strong> bait. The environmentally friendly sodium selenite product achieved<br />

76.2% efficacy <strong>in</strong> the first year of research, 70% <strong>in</strong> the second, and 67.5% <strong>in</strong> the<br />

third. The synthetic products based on bromadiolone and brodifacoum<br />

demonstrated high efficacy <strong>in</strong> all of the three experimental years and <strong>in</strong> all three<br />

formulations. The cholecalciferol rodenticide had 71.4% efficacy <strong>in</strong> the first year,<br />

68% <strong>in</strong> the second, and 67.7% <strong>in</strong> the third. The data show that the environmentally<br />

safe product had a lower efficacy due to high rodent abundance and <strong>in</strong>adequate<br />

epidemiological conditions exist<strong>in</strong>g on the farm of heavy milk<strong>in</strong>g cows, while the<br />

bromadiolone and brodifacoum-based products achieved high efficacy.<br />

Key words: Rattus norvegicus, sodium selenite, efficacy, farm of heavy<br />

milk<strong>in</strong>g cows<br />

Introduction<br />

Brown rat (Rattus norvegicus) is one of the most important pests <strong>in</strong> a group<br />

of small rodents, and it is associated with other wild animals while liv<strong>in</strong>g <strong>in</strong> the<br />

closest neighbourhood of man and his environment (Bojkovski et al. 1991). It is


624<br />

S. Đedović et al.<br />

almost <strong>in</strong>variably found on cattle farms, where it builds a simple system of<br />

underground corridors and makes 6-10 cm holes <strong>in</strong> walls. Rats are transmitters of a<br />

number of <strong>in</strong>fectious diseases to domestic animals (Morita, 1985). The cha<strong>in</strong> of<br />

toxico<strong>in</strong>fection on a farm <strong>in</strong>cludes the farmers’ food and clothes, <strong>in</strong>fected by rat<br />

ur<strong>in</strong>e and feces, as well as hay and silage feed for cattle and direct rat bites.<br />

Contam<strong>in</strong>ated or poorly stored forage is a health ha<strong>za</strong>rd for animals (Daniels et al.,<br />

2003).<br />

S<strong>in</strong>gleton et al. (S<strong>in</strong>gleton et al.,1999) presented the environmental benefits<br />

of a strategy of brown rat control by sett<strong>in</strong>g up po<strong>in</strong>ts of attraction, i.e. a system of<br />

trap-barriers rich <strong>in</strong> different food sources. A research has shown that facilities<br />

hous<strong>in</strong>g different categories of animals are highly suitable places for rats to spread<br />

<strong>in</strong>to from surround<strong>in</strong>g environments as food sources are abundant there. This<br />

research focused on the control of brown rat (Rattus norvegicus) on a farm with a<br />

free range system of herd rais<strong>in</strong>g by application of an environmentally friendly<br />

product based on selenium and on compar<strong>in</strong>g the results with the effectiveness of<br />

anticoagulant products and a cholecalciferol-based natural product, consider<strong>in</strong>g the<br />

aspect of animal hygiene.<br />

The micronutrient selenium used <strong>in</strong> forage <strong>in</strong> the amount of 0.1 mg/kg is<br />

the optimum rate that helps protect health and improve productive and reproductive<br />

characteristics of dairy cows. Calves fed after birth on milk supplemented with<br />

selenium are better protected from antioxidative substances (Joksimović-Todorović,<br />

2007). The mechanism of activity of sodium selenite is based on a replacement of<br />

the S-H group of functional cellular prote<strong>in</strong>s with the S-S bond, toxicity depends<br />

on the chemical form of selenium, and the selenite is more toxic than selenate.<br />

Target organs <strong>in</strong>clude: respiratory organs, CNS, cardiovascular system, digestive<br />

system and sk<strong>in</strong>. Lethal effect is achieved by a s<strong>in</strong>gle dose and resistence is not<br />

possible.<br />

Introduction of these products would help reduce excessive use of the<br />

anticoagulant products bromadiolone and brodifacoum, as well as frequent<br />

<strong>in</strong>toxications of humans and domestic animals.<br />

Cholecalciferol-based (vitam<strong>in</strong> D) products belong to a group of fast-act<strong>in</strong>g,<br />

acute poisons, whose mode of activity is based on an extensive absorption of<br />

<strong>in</strong>test<strong>in</strong>al calcium and <strong>in</strong>tensified resorption from bones, which leads to calcium<br />

and phosphorus sedimentation <strong>in</strong> all soft tissues and broodstream, and results <strong>in</strong><br />

heart, blood vessels and kidney damage. The process of calcification is very fast <strong>in</strong><br />

the group of mice rodents, last<strong>in</strong>g no more than several days (Merck Veter<strong>in</strong>ary<br />

Manuel, 2011). The primary role of cholecalciferol is efficient control of rodent<br />

pest populations that are resistent to anticoagulants (Marshall, 1984).<br />

Cholecalciferol use has been limited <strong>in</strong> Serbia (Službeni glasnik RS, 2009),<br />

which has narrowed the choice of available rodenticides.<br />

The second generation anticoagulant rodenticides based on bromadiolone<br />

and brodifacoum are slow-act<strong>in</strong>g poisons whose mechanism of activity is based on


Control of brown rat (Rattus norvegicus) on a dairy farm...<br />

prevent<strong>in</strong>g the synthesis of factor IX required for blood clott<strong>in</strong>g, which results <strong>in</strong><br />

animal bleed<strong>in</strong>g to death because its blood can no longer coagulate. Resistence has<br />

been observed and reported (Lund, 1984, Myllymaki, 1995).<br />

This research focused on the control of brown rat (Rattus norvegicus) on a<br />

farm with a free range system of herd rais<strong>in</strong>g by application of an environmentally<br />

friendly product based on selenium and on compar<strong>in</strong>g the results with the<br />

effectiveness of anticoagulant products and a cholecalciferol-based natural product,<br />

consider<strong>in</strong>g the aspect of animal hygiene.<br />

Materials and Methods<br />

A three-year research was conducted on a farm of heavy milk<strong>in</strong>g cows that<br />

are held <strong>in</strong> a free range system, and trials were set up <strong>in</strong> all available facilities: cow<br />

stables, milk<strong>in</strong>g parlour, calves’ stable and silo. Before sett<strong>in</strong>g up trials and chos<strong>in</strong>g<br />

rodenticides, we exam<strong>in</strong>ed the level of <strong>in</strong>vasiveness by rodents, their paths and<br />

numbers. Brown rat (Rattus norvegicus) presence was confirmed visually. The<br />

appearance of feces that were found <strong>in</strong> the facilities further confirmed its presence.<br />

All rodenticides were tested <strong>in</strong> these trials <strong>in</strong> different formulations and<br />

they have different mechanisms of activity. The products EKOSTOP, EKOSEL<br />

and MAMAK B (all <strong>in</strong> three formulations: granules, peletes, soft bait) were<br />

manufactured by DOO CIKLONIZACIJA, Primorska 76, Novi Sad, Serbia, while<br />

the active <strong>in</strong>gredient brodifacoum and the product RATTACK were manufactured<br />

by DOO DUOCHEM, Ruzveltova 36, Belgrade, Serbia.<br />

The standard method PP 1/114(2) (EPPO, 1999) was applied <strong>in</strong> all trials.<br />

All treatments were made <strong>in</strong> the same period to reduce risks from various timedependent<br />

factors (such as weather conditions or the load<strong>in</strong>g and unload<strong>in</strong>g storage<br />

goods). Poisons were laid after previously plac<strong>in</strong>g placebo baits to carry out<br />

method of census. Portions of 200 g of gra<strong>in</strong> per box were laid down placed on the<br />

first day of census. Rodent abundance was assessed us<strong>in</strong>g the C-30 method (World<br />

Health Organi<strong>za</strong>tion) or the transect method (EPPO, 1992) at the beg<strong>in</strong>n<strong>in</strong>g and 10<br />

days after the beg<strong>in</strong>n<strong>in</strong>g of trial. Placebo bait was laid at 10 spots <strong>in</strong> each facility<br />

over a period of 5 days. Each box was marked by an ord<strong>in</strong>al number, name of<br />

product and amount of bait and arranged at 3-5 m distance from each other. To<br />

avoid unwanted poison<strong>in</strong>g, the test products were labelled accord<strong>in</strong>g to HACCP<br />

standards (Bokelman,1996). The amount of consumed bait was checked on a daily<br />

basis over a period of ten days. Bait was added as needed.<br />

Data on palatability and biological effectiveness of products under<br />

laboratory conditions and rodenticide efficacy aga<strong>in</strong>st rodents <strong>in</strong> storage facilities<br />

were calculated us<strong>in</strong>g Abbott's formula (Abbott,1925).<br />

625


626<br />

Results and Discussion<br />

S. Đedović et al.<br />

Brown rat was found <strong>in</strong> high abundance (Tables 1, 2, 3) on the dairy farm<br />

as a result of its technology of construction, external unprotectedness and<br />

<strong>in</strong>adequate sanitary and epidemiological conditions.<br />

Figure 1 shows a ten-day <strong>in</strong>take of products based on different active<br />

<strong>in</strong>gredients and formulated as granules (GB) <strong>in</strong> the first year of research.<br />

bait <strong>in</strong>take<br />

(g)<br />

400<br />

350<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

0 1 2 3 4 5 6 7 8 9 10<br />

days<br />

Sodium-selenite<br />

Cholecalciferol<br />

Bromadiolone<br />

Brodifakum<br />

Figure 1. Ten-day <strong>in</strong>take of products conta<strong>in</strong><strong>in</strong>g different active <strong>in</strong>gredients <strong>in</strong> granule (GB)<br />

formulations on a dairy farm <strong>in</strong> the first year of research<br />

The<br />

granule formulation of all products was tested <strong>in</strong> the first year of<br />

research.<br />

The sodium selenite product was less palatable due to its relatively poor<br />

organoleptic properties. Its palatability was highest <strong>in</strong> the first two days, with 280 g<br />

eaten on the first and 290 g on the second day. Over the next several days, the<br />

amount of bait consumed cont<strong>in</strong>ued to decrease. The product should be improved<br />

<strong>in</strong> terms of attractiveness, especially for situations <strong>in</strong> which animals have a wide<br />

selection of food sources on a farm. High efficacy of this product was observed but<br />

the experimental data reflected the known fact that selenium is highly degradable.<br />

The fast-act<strong>in</strong>g cholecalciferol was found to have been consumed the least,<br />

which may be due to the fact that vitam<strong>in</strong> D concentration <strong>in</strong> a bait and its<br />

palatability are <strong>in</strong>versely proportionate. Meehana (Meehan, 1984) had observed


Control of brown rat (Rattus norvegicus) on a dairy farm...<br />

that a 0.1% concentration of cholecalciferol had a repelent effect on rodents. The<br />

highest daily <strong>in</strong>take was observed on the third day after the trial started and it<br />

decreased drastically and cont<strong>in</strong>ually throughout the trial. Symptoms of poison<strong>in</strong>g<br />

occurred 24-48 h after <strong>in</strong>take.<br />

Palatability of this product should also be improved, especially on farms<br />

where other food sources are also available.<br />

The slow-act<strong>in</strong>g rodenticides based on bromatiolone (0.005%) and<br />

brodifacoum (0.005%) demonstrated good palatability.<br />

The most palatable product was bromadiolone <strong>in</strong> this<br />

year of research after ten<br />

days of consumption, and its efficacy was as high as 94.8% (Table 1). Intakes of<br />

both products decreased after seven days, which is consistent with out earlier data.<br />

Mortality had a peak between the fourth and seventh day of consumption.<br />

Figure 2 shows a ten-day <strong>in</strong>take of products conta<strong>in</strong><strong>in</strong>g different<br />

active<br />

<strong>in</strong>gredients formulated as plate bait (PB) <strong>in</strong> the second year of experiment.<br />

bait <strong>in</strong>take<br />

(g)<br />

400<br />

350<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

0 1 2 3 4 5 6 7 8 9 10<br />

days<br />

Figure 2. Ten-day <strong>in</strong>take of products conta<strong>in</strong><strong>in</strong>g different active <strong>in</strong>gredients <strong>in</strong> plate bait (PB)<br />

formulations on the dairy farm <strong>in</strong> the second year of research<br />

Plate baits were tested <strong>in</strong> the second year of research. Brown rats<br />

consumed considerably greater amounts of sodium-selenite bait (0.1%) and product<br />

palatability was satisfactory for the animals’ organoleptic requirements. Efficacy<br />

627<br />

Sodium-selenite<br />

Cholecalciferol<br />

Bromadiolone<br />

Brodifakum


628<br />

S. Đedović et al.<br />

was slightly lower (70%) than it had been <strong>in</strong> the first year, which may be due to<br />

degradation of the active <strong>in</strong>gredient.<br />

The <strong>in</strong>take of bait based on cholecalciferol (0.075%) was lowest, only 936 g.<br />

The ten-day consumption was even, slightly higher <strong>in</strong>itially and then decreas<strong>in</strong>g.<br />

Palatability was unsatisfactory and the product achieved lower efficacy than it had<br />

been observed <strong>in</strong> our earlier research. Bitter taste of this active <strong>in</strong>gredient makes<br />

the animals give it up easily and exchange it for other available food on the farm.<br />

Slow-act<strong>in</strong>g rodenticides based on bromadiolone (0.005%) and brodifacoum<br />

(0.005%) demonstrated better palatability <strong>in</strong> the second year, which may be due to<br />

a better choice of attractant for rats and the fact that bait was coated with f<strong>in</strong>e<br />

transparent paper which causes curiosity <strong>in</strong> animals. We also found scattered bait<br />

filter bags around rat paths together with dead animals. Total <strong>in</strong>take of<br />

bromadiolone bait was 1667 g, and of brodifacoum 1068 g. However, the former<br />

bait aga<strong>in</strong> had lower efficacy than brodifacoum even though its amounts consumed<br />

were higher.<br />

Figure 3 shows a ten-day <strong>in</strong>take of products with different active <strong>in</strong>gredients <strong>in</strong><br />

gra<strong>in</strong> bait (AB) formulations <strong>in</strong> the third year of experiment.<br />

bait <strong>in</strong>take<br />

(g)<br />

400<br />

350<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

0 1 2 3 4 5 6 7 8 9 10<br />

days<br />

Sodium-selenite<br />

Cholecalciferol<br />

Bromadiolone<br />

Brodifakum<br />

Figure 3. Ten-day <strong>in</strong>take of products conta<strong>in</strong><strong>in</strong>g different active <strong>in</strong>gredients <strong>in</strong> gra<strong>in</strong> bait (AB)<br />

formulations on the dairy farm <strong>in</strong> the third year of research<br />

Gra<strong>in</strong> bait formulation was tested <strong>in</strong> the third year of research. Palatability<br />

of the sodium-selenite and cholecalciferol products was equal <strong>in</strong> the <strong>in</strong>itial three<br />

days of trial. Their afficacies were also match<strong>in</strong>g, 67.5% and 67.7%, respectively


Control of brown rat (Rattus norvegicus) on a dairy farm...<br />

(Table 3). Total <strong>in</strong>take of the environmentally safe bait with sodium selenite was<br />

1251 g and of the cholecalciferol product 1200 g. More animals died by eat<strong>in</strong>g bait<br />

that conta<strong>in</strong>ed sodium-selenite than cholecalciferol bait. It confirms our earlier<br />

f<strong>in</strong>d<strong>in</strong>gs that sodium-selenite is highly toxic, and our future research will be<br />

focused on improv<strong>in</strong>g its organoleptic properties to <strong>in</strong>crease attractiveness.<br />

Regard<strong>in</strong>g efficacy and palatability of the anticoagulant products, data <strong>in</strong> the<br />

third year of experiment confirmed consistency with those for the previous two<br />

years, 95% efficacy was achieved by bromadiolone, and 100% by brodifacoum<br />

(Table 3). The anticoagulant brodifacoum had the best attractiveness, good<br />

palatability and the best efficacy throughout the three-year period of research. An<br />

explanation of this may be the fact that its use had been limited <strong>in</strong> our country <strong>in</strong><br />

the past, so that resistance has not yet developed. Its palatability is especially<br />

favourable. Palatability of the bromadiolone product was better <strong>in</strong> granules and<br />

plate bait (Figures 1 and 2) than <strong>in</strong> gra<strong>in</strong> bait (Figure 3).<br />

Tables 1, 2 and 3 show efficacy data for the tested products with their different<br />

active <strong>in</strong>gredients and different formulations.<br />

Table 1. Product efficacy <strong>in</strong> the first year of research and estimated brown rat number<br />

Species<br />

Rattus<br />

norvegicus<br />

Active <strong>in</strong>gredient Bait <strong>in</strong>take Estimated rat number Efficacy<br />

(product formulation) (g) Beg<strong>in</strong>n<strong>in</strong>g End %<br />

Sodium selenite (GB) 1251 42 10 76.2<br />

Cholecalciferol(GB) 1200 28 8 71.4<br />

Bromadiolone (GB) 1699 57 3 94.8<br />

Brodifacoum (GB) 1242.5 43 0 100<br />

Table 2. Product efficacy <strong>in</strong> the second year of research and estimated brown rat number<br />

Species<br />

Rattus<br />

norvegicus<br />

Active <strong>in</strong>gredient Bait <strong>in</strong>take Estimated rat number Efficacy<br />

(product formulation) (g) Beg<strong>in</strong>n<strong>in</strong>g End %<br />

Sodium selenite (PB) 1438 50 15 70<br />

Cholecalciferol(PB) 936 25 8 68<br />

Bromadiolone (PB) 1667 55 3 94.5<br />

Brodifacoum (PB) 1068.5 38 0 100<br />

Table 3. Product efficacy <strong>in</strong> the third year of research and estimated brown rat number<br />

Species<br />

Active <strong>in</strong>gredient<br />

(product formulation)<br />

Bait <strong>in</strong>take<br />

(g)<br />

Estimated rat number<br />

Beg<strong>in</strong>n<strong>in</strong>g End<br />

Efficacy<br />

%<br />

Sodium selenite (AB) 1245 40 13 67.5<br />

Rattus Cholecalciferol (AB) 1065 31 10 67.7<br />

norvegicus Bromadiolone (AB) 1235 40 2 95<br />

Brodifacoum (AB) 1115 39 0 100<br />

629


630<br />

S. Đedović et al.<br />

The environmentally friendly product based on sodium-selenite (0.1%)<br />

demonstrated a satisfactory efficacy. It was 76.2% <strong>in</strong> the first year, 70% <strong>in</strong> the<br />

second and 67.5% <strong>in</strong> the third (Tables 1, 2, 3). Better efficacy results could be<br />

achieved by select<strong>in</strong>g the most viable attractant. Our own research so far has shown<br />

high toxicity of this active <strong>in</strong>gredient, but little effort has been made so far to<br />

improve its attractiveness and stability.<br />

The cholecalciferol product was found to be less effective <strong>in</strong> its three<br />

exam<strong>in</strong>ed formulations <strong>in</strong> the three years of this researchthan it had been recorded<br />

<strong>in</strong> our previous studies, namely 83-89% (Vukša et al., 2006., Đedović et al., 2011),<br />

and <strong>in</strong> reports by other authors (Quy et al., 1995). The data possibly reflect the fact<br />

that this active <strong>in</strong>gredient has a bitter taste which is unacceptible to the brown rat.<br />

In addition to that, the farm had other food sources.<br />

Bromadiolone granules and plate baits were found to have greater<br />

palatability (Figures 1 and 2) than the product’s gra<strong>in</strong> bait formulation (Figure 3),<br />

but all formulations achieved an efficacy of around 95%, which <strong>in</strong>dicates that<br />

cumulative effects of this active <strong>in</strong>gredient had the same level of toxicity over a<br />

period of 4-7 days (possibly because resistence has not developed). Rowe et al.<br />

(1981) had reported bromadiolone efficacy rang<strong>in</strong>g from 92.7-100% aga<strong>in</strong>st the<br />

house mouse on farms. Experiments so far and our overall experience have<br />

<strong>in</strong>dicated an extended activity of this active <strong>in</strong>gredient and animals were dy<strong>in</strong>g<br />

even 10 days after treatment. Lower efficacy of these products is <strong>in</strong>dicative of<br />

resistance.<br />

In this research, the rodenticides based on brodifacoum achieved 100%<br />

efficacy (Tables 1, 2 and 3). Attractiveness was good <strong>in</strong> all three years of<br />

experiment.<br />

Conclusion<br />

In our research, the sodium-selenite products had lower palatability, so that<br />

suitable attractants need to be added to improve its organoleptic properties, and<br />

yellow or green colour should be used because rats are particularly sensitive to<br />

them. These products are highly toxic and laboratory research has confirmed it.<br />

Cholecalciferol rodenticides were consumed most reluctantly due to their<br />

bitter taste. They belong to a group of fast-act<strong>in</strong>g poisons that have lethal effect<br />

with<strong>in</strong> 24 hours, but their negative side is that they have to be kept at low<br />

temperature or fast degradation will occur. Our research has shown them as the<br />

least effective.<br />

The two anticoagulant products demonstrated good palatability and efficacy<br />

<strong>in</strong> all tested formulations. Those are slow-act<strong>in</strong>g poisons that have cumulative<br />

effect which requires some time after <strong>in</strong>take. They should be carefully used<br />

because of possible resistance.


Control of brown rat (Rattus norvegicus) on a dairy farm...<br />

In this three-year research, product formulation was not found to have significantly<br />

affected palatability for the brown rat.<br />

We recommend regular three-month checks on farms with particularly high<br />

<strong>in</strong>festations, poor hygiene and epidemiological conditions, and six-month checks<br />

on farms with satisfactory conditions. Also, population abundance of brown rat<br />

should be monitored on a monthly basis by sett<strong>in</strong>g up live-traps and mark<strong>in</strong>g<br />

captured animals.<br />

Acknowledgment<br />

This study was carried out as part of Project III 4608 ”Development of an<br />

<strong>in</strong>tegrated system of management of harmful organisms on plants, aim<strong>in</strong>g to<br />

overcome resistance and improve food quality and safety (2011-2014)“ which was<br />

f<strong>in</strong>ancially supported by the M<strong>in</strong>istry of Education, Science and Technological<br />

Development of the Republic Serbia.<br />

Prilog poznavanju suzbijanja sivog pacova (Rattus<br />

norvegicus) na farmi mlečnih krava<br />

S. Đedovic, M. Vukša , M. M. Petrović, J. Bojkovski, I. Pavlović, G. Jokić, B.<br />

Stojnić<br />

Rezime<br />

Rattus norvegicus gotovo uvek živi u objektima namenjenim <strong>za</strong> gajenje<br />

domaćih život<strong>in</strong>ja i kao s<strong>in</strong>anotropna vrsta prisutan je u čovekovoj najbližoj<br />

okol<strong>in</strong>i. Predmet naših trogodišnjih istraživanja je alternativa smanjenja<br />

ekonomskih šteta koju prič<strong>in</strong>java ovaj glodar u stajama farmi visoko-mlečnih<br />

krava, primenom preparata na bazi aktivnih materija različitog porekla.<br />

U eksperimentima je korišćen ekološko prihvatljivi preparat na bazi<br />

natrijum-selenita (0,1%), preparat prirodnog porekla na bazi holekalciferola<br />

(0,75%) i antikoagulantni rodenticidi na bazi bromadiolona (0,005%) i<br />

brodifakuma (0,005%).<br />

Primenjeni preparati su formulisani u obliku granula, obloženog i zrnastog<br />

mamka.<br />

Ekološko prihvatljivi preparat na bazi natrijum-selenita je ispoljio efikasnost<br />

od 76,2% u prvoj god<strong>in</strong>i istraživanja, u drugoj 70% i u trećoj god<strong>in</strong>i 67,5%.<br />

S<strong>in</strong>tetisani preparati na bazi bromadiolona i brodifakuma poka<strong>za</strong>li su visoku<br />

efikasnost u sve tri god<strong>in</strong>e ispitivanja <strong>za</strong> sve tri navedene formulacije. Rodenticid<br />

na bazi holekalciferola je ispoljio efikasnost od 71,4% u prvoj god<strong>in</strong>i, u drugoj<br />

631


632<br />

S. Đedović et al.<br />

68% i u trećoj 67,7 %. Rezultati istraživanja ukazuju da je zbog velike brojnosti<br />

glodara i neadekvatnih epidemioloških uslova na farmi visoko-mlečnih krava<br />

ispoljena slabija efikasnost ekološko prihvatljivog preparata dok su preparati na<br />

bazi bromadiolona i brodifakuma ispoljili visoku efikasnost.<br />

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<strong>in</strong>secticide. J. Econ, Entomol, 18, 265-267.<br />

BOJKOVSKI J., SOLDATOVIĆ B., NIKOLIĆ A. (1991): Cytogenetic<br />

observation on numerical and structural chromosome aberrations <strong>in</strong>duced by<br />

environmental <strong>in</strong>fluence <strong>in</strong> mice of the genus Apodemus, Acta Veter<strong>in</strong>aria, 41, 5-<br />

6, 241-246.<br />

BOKELMAN B. (1996): Quality Assurance and HACCP with Special Attention to<br />

Long Life Products.<br />

DANIELS M.J., HUTSCHINGS M.R., GREIG A. (2003): „The risk of disease to<br />

livestock posed by contam<strong>in</strong>ation of farm stored feed by wildlife excreta“.<br />

Michigan Bov<strong>in</strong>e Tuberculosis Bibliography and Datubase. Paper 14.<br />

ĐEDOVIĆ S., VUKŠA M., STOJNIĆ B., JOKIĆ G. (2011): Preparat na bazi<br />

selena i suzbijanje s<strong>in</strong>antropnih glodara u objektima u poljoprivredi. Pestic.<br />

Fitommed., 26, 3, 265-270.<br />

EPPO (1992):Guide for the officacy evaluation of rodenticides, No. 169, EPPO<br />

Bull.,22,181-202.<br />

EPPO, 1999: Guidel<strong>in</strong>e for the efficacy evaluation of rodenticides: Field tests<br />

aga<strong>in</strong>st synanthropic rodents (Mus musculus, Rattus norvegicus i R. rattus) – PP<br />

1/114(2), <strong>in</strong> EPPO 1999. Guidel<strong>in</strong>es for the efficacy evaluation of Plant Protection<br />

Products. Rodenticides, 1, European and Mediterranean Plant Protection<br />

Organi<strong>za</strong>tion, Paris, pp. 83-144.<br />

JOKSIMOVIĆ-TODOROVIĆ M., DAVIDOVIĆ V., HRISTOV S., STANKOVIĆ<br />

B., BOJKOVSKI J. (2007): Deficit selena kod mlečnih krava., Zbornik naučnih<br />

radova <strong>Institut</strong>a PKB Agroekonomik, 13, 3-4, 41-46.<br />

LUND M. (1984): Resistance to the second generation anticoagulant rodenticides.<br />

In: Proceed<strong>in</strong>gs of Eleventh Vertebrate Pest Conference. Sacramento, California<br />

(Ed. by D.O.Clarck), pp. 89-94.<br />

MARSHALL E.F. (1984): Cholecalciferol: a unique toxicant for rodent control.<br />

Proc. 11 th Vertebr. Pest Conf., 95-98.<br />

MERCK VETERINARY MANUEL (2011): Rodenticide Poison<strong>in</strong>g Introduction,<br />

Whitehouse Station, NJ USA.<br />

MEEHAN A.P. (1984): Rats and Mice-their biology and control. Rentokil Ltd.,<br />

East Gr<strong>in</strong>stead, W. Sussex, 383 pp.


Control of brown rat (Rattus norvegicus) on a dairy farm...<br />

MORITA C.H., MATSUURA Y., MORIKAWA S.H., KITAMURA T (1985):<br />

Age dependent transmission of hemoragic fever with renal syndrome (HFRS) virus<br />

<strong>in</strong> rats. Arch. Virol., 85, 145.<br />

MYLLYMAKI A. (1995): Anticoagulant resistance <strong>in</strong> Europe: Appraisal of the<br />

data from 1992 EPPO questionnaire. Pestic. Sci., 43, 69-72.<br />

ROWE F.P., PLANT C.J., BRADFIELD A. (1981): Trials of the anticoagulant<br />

rodenticides bromadiolone and difenacoum aga<strong>in</strong>st the house mouse (Mus<br />

musculus L.). Journal of Hygiene, London 81, 171-177.<br />

QUY R.J., COWAN D.P., PRESCOTT C.V., GILL E.J., KERINS G.M.,<br />

DUNSFORT, G., JONES A., MACNICOL A.D. (1995): Control of a<br />

Population of Norway Rats Resistant to Anticoagulant Rodenticides. Pestic.<br />

Sci., 45, 247-256.<br />

SINGLETON G.R., HINDS L.A., LEIRS H., ZHANG Z. (1999): Ecologically<br />

based rodent menagment ACIAR, Canberra, Australia..<br />

SLUŽBENI GLASNIK RS BR. 36/09 (2009): Lista <strong>za</strong>branjenih hemikalija,<br />

pravilnik o uvozu i izvozu određenih opasnih hemikalija.<br />

VUKŠA M., DRAGANIĆ M., ĐEDOVIĆ S., JOKIĆ G. (2006): Laboratory<br />

effects and efficacy of a Se-based rodenticide <strong>in</strong> controll<strong>in</strong>g rodents <strong>in</strong> storage<br />

facilites. Proceed<strong>in</strong>gs of the 9 th International Work<strong>in</strong>g Conference on Stored<br />

Product Protection, Camp<strong>in</strong>as, Sao Paulo, Brazil, 920-925.<br />

Received 25 July 2012; accepted for publication 17 September 2012<br />

633


Instruction for authors<br />

Papers for publish<strong>in</strong>g <strong>in</strong> the <strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> journal<br />

should be submitted to the Editorial Board. Address: <strong>Institut</strong>e for <strong>Animal</strong><br />

<strong>Husbandry</strong>, Autoput 16, 11080 Belgrade-Zemun, P.O.box 23, Republic of Serbia<br />

(for <strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>).<br />

Orig<strong>in</strong>al papers <strong>in</strong> English, (on a CD-ROM or by e-mail:<br />

biotechnology.izs@gmail.com) 6 pages of typed text us<strong>in</strong>g, Paper size: Custom<br />

size, Width 17 cm, Height 24 cm; formata (Portrait), normal spac<strong>in</strong>g (S<strong>in</strong>gle<br />

Space). Marg<strong>in</strong>e: Top 2,0 cm, Left 2.0 cm, Bottom 2.0 cm, Right 2,0 cm, no<br />

pag<strong>in</strong>ation. Use font Times New Roman, size 11 (except where it is stated<br />

otherwise). Title of the paper should be Times New Roman, font size 14, bold:<br />

Example 1<br />

TABLE EGGS OF KNOWN ORIGIN AND GUARANTEED<br />

QUALITY - BRAND EGG<br />

Authors, Times New Roman, font size 12, bold<br />

Z. Pavlovski, Z. Škrbić, M. Lukić<br />

<strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Autoput 16, P. Box 23, 11080, Belgrade-Zemun, Republic of Serbia<br />

Correspond<strong>in</strong>g author: zlaticapav@yahoo.com<br />

Invited paper<br />

Example 2<br />

THE EFFECT OF PARAGENETIC FACTORS ON<br />

REPRODUCTIVE TRAITS OF SIMMENTAL COWS<br />

M. D. Petrović 1 , Z. Skalicki 2 , V. Bogdanović 2 , M. M. Petrović 3<br />

1 Faculty of Agronomy, Cara Dušana 34, 32000, Čačak, Republic of Serbia<br />

2 Faculty of Agriculture, Nemanj<strong>in</strong>a 6, 11080, Belgrade-Zemun, Republic of Serbia<br />

3 <strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Autoput 16, P. Box 23, 11080, Belgrade-Zemun, Republic of Serbia<br />

Correspond<strong>in</strong>g author: petrovicm@tfc.kg.ac.yu<br />

Orig<strong>in</strong>al scientific paper<br />

use 1,2, ... numbers <strong>in</strong> suffix to refer to addresses of authors, under affilations of<br />

authors should be mentioned e-mail of correspond<strong>in</strong>g author and category of paper,<br />

Times New Roman, font size 9<br />

Orig<strong>in</strong>al scientific paper should conta<strong>in</strong> follow<strong>in</strong>g paragraphs with s<strong>in</strong>gle spac<strong>in</strong>g<br />

(title of paragraphs should be <strong>in</strong> Times New Roman 14 bold, except for Abstract<br />

and Key words where font size is 11 bold):<br />

Abstract: 250 words


Key words: state key words (not more than 6)<br />

Introduction - present the review of previous research and objective of the<br />

paper.<br />

Materials and Methods - state methods applied <strong>in</strong> the paper.<br />

Results and Discussion - present <strong>in</strong>vestigation results separately from<br />

discussion or together <strong>in</strong> one paragraph. Presentation of the results should be<br />

precise and without repetitions, and <strong>in</strong>clude the evaluation of significant<br />

differences and other parameters.<br />

Text and titles of tables, figures and graphs, Times New Roman, font size 9, bold,<br />

<strong>in</strong> the follow<strong>in</strong>g form:<br />

Table 1. Least square means for the reproductive traits of cows<br />

Tables and figures should be numbered and with adequate title and legend, width<br />

and height not exceed<strong>in</strong>g 12 cm and 17 cm, respectively. Tables should be<br />

prepared accord<strong>in</strong>g to <strong>in</strong>struction for form<strong>in</strong>g of tables <strong>in</strong> Office Word. Each<br />

column <strong>in</strong> table must have head<strong>in</strong>g and, when necessary, abbreviations should be<br />

expla<strong>in</strong>ed <strong>in</strong> the legend/footnote.<br />

Conclusion - conta<strong>in</strong><strong>in</strong>g the most important issues of the paper<br />

Acknowledgment - for example:<br />

Research was f<strong>in</strong>anced by the M<strong>in</strong>istry of Science and Technological<br />

Development, Republic of Serbia, project TR 6885.<br />

After Acknowledgment the title of the paper <strong>in</strong> Serbian <strong>in</strong> Times New Roman 14<br />

bold, is stated, followed by authors <strong>in</strong> Times New Roman 11 italic, example:<br />

Konzumna jaja poznatog porekla i garantovanog kvaliteta -<br />

brand jaja<br />

Z. Pavlovski, Z. Škrbić, M. Lukić<br />

Summary - should conta<strong>in</strong> the most important issues of the paper. It should be<br />

<strong>in</strong> English, and Serbian for domestic authors (m<strong>in</strong>. 250 words).<br />

References - should be <strong>in</strong> alphabetical order. Names of the authors must be<br />

given <strong>in</strong> capital letters followed by the year of publication<strong>in</strong> brackerts, titles <strong>in</strong> the<br />

language of the orig<strong>in</strong>al, examples:<br />

PAVLOVSKI Z. (2004): Novi propisi EU, dobrobit živ<strong>in</strong>e, <strong>za</strong>htevi potrošača.<br />

Živ<strong>in</strong>arstvo, 8-9, 49-58.<br />

PAVLOVSKI Z., MAŠIĆ B. (1994): Odnos potrošača prema živ<strong>in</strong>skim<br />

proizvodima. Živ<strong>in</strong>arstvo, 7-9, 77-82.


PETROVIĆ D.M., GUTIĆ M., BOGOSAVLJEVIĆ-BOŠKOVIĆ S. (2004): Masa<br />

teladi pri rođenju i njena varijabilnost kod krava simentalske rase. Agroznanje, 5,<br />

1, 111-116.<br />

Citations <strong>in</strong> the text are presented <strong>in</strong> italic form, examples: ...results of Pavlovski<br />

(2004)...; (Pavlovski and Mašić, 1994); (Petrović et al., 2004); (Pavlovski, 2004;<br />

Pavlovski and Mašić, 1994; Petrović et al., 2004).<br />

Authors are fully responsible for the contents of the papers.<br />

<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> conta<strong>in</strong>s three categories of papers:<br />

- Orig<strong>in</strong>al scientific paper,<br />

- Review paper, and<br />

- Communication.<br />

Review papers must have m<strong>in</strong>imum 5 self-citations (by the first author).<br />

All papers are published <strong>in</strong> English, and reviewed.<br />

Abbreviation for journal <strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong> is:<br />

Biotechnol Anim Husb<br />

Editorial Staff


<strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun<br />

10th International Symposium<br />

“Modern Trends <strong>in</strong> Livestock Production ”<br />

2 nd – 4 th October 2013, Belgrade, Republic of Serbia<br />

Esteemed colleagues,<br />

FIRST ANNOUNCEMENT<br />

<strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong>, Belgrade-Zemun is organiz<strong>in</strong>g traditional<br />

International Symposium, “ Modern Trends <strong>in</strong> Livestock Production ”.<br />

Symposium will <strong>in</strong>clude follow<strong>in</strong>g sections:<br />

1. System of breed<strong>in</strong>g of domestic animals<br />

- Genetics<br />

- Reproduction<br />

- breed<strong>in</strong>g<br />

- selection<br />

- nutrition<br />

2. Production technology and quality of products<br />

3. <strong>Animal</strong> welfare and health care<br />

4. Livestock feed and ecology<br />

5. Alternative production methods <strong>in</strong> livestock production<br />

The work of sections will be divided per animal species.<br />

A complete program of Symposium will be forwarded subsequently. For all<br />

<strong>in</strong>terested researchers k<strong>in</strong>dly submit your papers <strong>in</strong> form of abstract (accord<strong>in</strong>g to<br />

<strong>in</strong>structions for authors-contributors of the journal "<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong><br />

<strong>Husbandry</strong>" - www.istocar.bg.ac.rs) before January 31 st 2013. A full paper<br />

should be submitted by May 31 st 2013.<br />

«<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>»<br />

International Scientific Committee of the Symposium will review all submitted<br />

papers.<br />

The Committee will select papers for oral presentations. Rema<strong>in</strong><strong>in</strong>g papers will be<br />

presented <strong>in</strong> poster sessions. All papers presented on the Symposium will be<br />

published <strong>in</strong> journal “<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>”.


Registration fee<br />

• Registration fee which <strong>in</strong>cludes: publish<strong>in</strong>g of paper <strong>in</strong> journal<br />

<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, Symposium material, participation <strong>in</strong><br />

all sessions of the Symposium, coffe/tea break, is 100 EUR (for domestic<br />

participants <strong>in</strong> d<strong>in</strong>ar value on the day of payment accord<strong>in</strong>g to the<br />

exchange rate). Papers will not be published without the payment of<br />

registration fee.<br />

• Registration fee which <strong>in</strong>cludes: publish<strong>in</strong>g of paper <strong>in</strong> journal<br />

<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>, Symposium material, participation <strong>in</strong><br />

all sessions of the Symposium, coffe/tea break, tourist programme and gala<br />

d<strong>in</strong>ner, is 150 EUR (for domestic participants <strong>in</strong> d<strong>in</strong>ar value on the day of<br />

payment accord<strong>in</strong>g to the exchange rate).<br />

Chairman Chairman<br />

Organiz<strong>in</strong>g Committee International Scientific Committee<br />

Dr Miloš Lukić, research associate Prof. Dr. Mart<strong>in</strong> Wähner,<br />

Serbia Germany<br />

Please send abstracts and papers to follow<strong>in</strong>g e-mail address:<br />

<strong>Biotechnology</strong>.IZS@gmail.com<br />

or by postal address:<br />

<strong>Institut</strong>e for <strong>Animal</strong> <strong>Husbandry</strong><br />

Organiz<strong>in</strong>g Committee<br />

10th International Symposium<br />

“ Modern Trends <strong>in</strong> Livestock Production ”<br />

2 nd – 4 th October 2013, Belgrade, Republic of Serbia<br />

Auto-put 16, 11080 Belgrade-Zemun, Republic of Serbia<br />

phone. 011/2691-611; fax 011/2670-164


<strong>Institut</strong> <strong>za</strong> stočarstvo, Beograd-Zemun<br />

10. međunarodni simpozijum<br />

“Savremeni trendovi u stočarstvu ”<br />

2. - 4. oktobar 2013. god<strong>in</strong>e, Beograd, Republika Srbija<br />

PRVO OBAVEŠTENJE<br />

<strong>Institut</strong> <strong>za</strong> stočarstvo, Beograd-Zemun organizuje tradicionalni međunarodni<br />

simpozijum, “Savremeni trendovi u stočarstvu ” sa sledećim temama:<br />

1. Sistem gajenja domaćih život<strong>in</strong>ja<br />

- genetika<br />

- reprodukcija<br />

- gajenje<br />

- selekcija<br />

- ishrana<br />

2. Tehnologija proizvodnje i kvalitet proizvoda<br />

3. Dobrobit domaćih život<strong>in</strong>ja i zdravstvena <strong>za</strong>štita<br />

4. Stočna hrana i ekologija<br />

5. Alternativna proizvodnja u stočarstvu<br />

Rad po sekcijama odvijaće se prema vrstama domaćih život<strong>in</strong>ja.<br />

Kompletan program simpozijuma dostavićemo naknadno. Molimo <strong>za</strong><strong>in</strong>teresovane<br />

autore da prijave svoje radove u obliku apstrakta (prema uputstvu <strong>za</strong> saradnike<br />

časopisa „<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>“ – www.istocar.bg.ac.rs) i to do 31.<br />

januara 2013. god<strong>in</strong>e. Radovi u celosti se predaju do 31. maja 2013. god<strong>in</strong>e.<br />

«<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>»<br />

Međunarodni naučni komitet, će nakon prijema radova izvršiti njihovu recenziju i<br />

odabrati radove <strong>za</strong> usmenu prezentaciju. Ostali radovi će biti prezentovani u poster<br />

sekcijama. Svi radovi sa Simpozijuma će biti štampani u celosti u časopisu<br />

«<strong>Biotechnology</strong> <strong>in</strong> <strong>Animal</strong> <strong>Husbandry</strong>»


Koti<strong>za</strong>cija<br />

• Koti<strong>za</strong>cija koja uključuje: štampanje rada u časopisu <strong>Biotechnology</strong> <strong>in</strong><br />

<strong>Animal</strong> <strong>Husbandry</strong>, materijal Simpozijuma, učestvovanje u svim sekcijama<br />

Simpozijuma, kafu/čaj u pau<strong>za</strong>ma, iznosi 100 EUR (<strong>za</strong> domaće učesnike u<br />

d<strong>in</strong>arima na dan uplate po važećem srednjem kursu). Nijedan rad neće biti<br />

štampan bez uplaćene koti<strong>za</strong>cije.<br />

• Koti<strong>za</strong>cija koja uključuje: štampanje rada u časopisu <strong>Biotechnology</strong> <strong>in</strong><br />

<strong>Animal</strong> <strong>Husbandry</strong>, materijal Simpozijuma, učestvovanje u svim sekcijama<br />

Simpozijuma, kafu/čaj u pau<strong>za</strong>ma, turistički program i svečanu večeru,<br />

iznosi 150 EUR.<br />

Predsednik Predsednik<br />

Organi<strong>za</strong>cionog odbora Međunarodnog naučnog komiteta<br />

Dr Miloš Lukić, Dr Mart<strong>in</strong> Wähner,<br />

Srbija Nemačka<br />

Apstrakti i radovi u celosti se šalju na e-mail adresu:<br />

<strong>Biotechnology</strong>.IZS@gmail.com<br />

ili poštom na adresu:<br />

<strong>Institut</strong> <strong>za</strong> stočarstvo<br />

Organi<strong>za</strong>cioni odbor<br />

10. međunarodni simpozijum<br />

“Savremeni trendovi u stočarstvu ”<br />

2.- 4. oktobar 2013. god<strong>in</strong>e, Beograd, Republika Srbija<br />

Auto-put 16<br />

11080 Beograd-Zemun<br />

tel. 011/2691-611; faks 011/2670-164

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