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U DK 63/66 ISSN 1840-0809<br />

<strong>HERBOLOGIA</strong><br />

An International Journal on Weed Research and Control<br />

Vol. 13, No. 2, December 2012


Issued by: The Academy of Sciences and Arts of Bosnia and Herzegovina<br />

and the Weed Science Society of Bosnia and Herzegovina<br />

Editorial Board<br />

Paolo Barberi (Italy)<br />

Shamsher S. Narwal (India)<br />

Vladimir Borona (Ukraine) Zvonimir Ostojić (Croatia)<br />

Daniela Chodova (Czech Republic) Lidija Stefanović (Serbia)<br />

Mirha Đikić (B&H)<br />

Taib Šarić (B&H)<br />

Gabriella Kazinczi (Hungary) Stefan Tyr (Slovakia)<br />

Senka Milanova (Bulgaria)<br />

Editorial Council<br />

Dubravka Šoljan (B&H), Chairman Mira Knežević (Croatia)<br />

Katerina Hamouzova (Czech Republic) Gyula Pinke (Hungary)<br />

Rabiaa Haouala (Tunisia)<br />

Milena Simić (Serbia)<br />

Zoran Jovović (Montenegro)<br />

Andrej Simončič (Slovenia)<br />

Gerhard Karrer (Austria)<br />

Asif T anveer (Pakistan)<br />

Editor-in-Chief: Academician Taib Šarić<br />

Deputy Editor: Mirha Đikić<br />

Address of the Editorial Board and Administration:<br />

Herbološko društvo BiH (Faculty of Agriculture and Food Science)<br />

71.000 Sarajevo, Zmaja od Bosne 8, Bosnia and Herzegovina<br />

Phone: ++387 33 225 727, Fax: ++387 33 667 429<br />

E-mail: tsaric@bih.net.ba<br />

Published twice a year<br />

The price of a copy of the Journal: 15 €<br />

Papers published in the Herbologia are abstracted and indexed in the CAB International’s<br />

journal Weed Abstracts and in EBSCO Publishing database Academic Search Complete<br />

The Herbologia can be found on the web site: www.<strong>anubih</strong>.ba links:<br />

Publications and Herbologia<br />

Printed by<br />

Štamparija Garmond Graphic, Sarajevo<br />

The printing of this journal was financially supported by the Federal Ministry of<br />

Education and Science of B&H, Sarajevo


CONTENTS<br />

Page<br />

1. M. Ravlić, R. Baličević, M. Knežević, I. Ravlić: Allelopathic effect of<br />

scentless mayweed and field poppy on seed germination of winter wheat and<br />

winter barley................................................................................................................. 1<br />

2. A. Tanveer, M. Mansoor Javaid, A. Khaliq, R. N. Abbas, A, Aziz: Allelopathic<br />

effect of Echinochloa crus-galli on field crops............................................................... 9<br />

3. R. Khan, M. Haroon, M. Waqas, I. Ullah: Influence of plants water extracts<br />

on the germination and early seedling growth of winter wheat................................ 19<br />

4. M. Knežević, R. Baličević, M. Ravlić, J. Ravlić: Impact of tillage systems and<br />

herbicides on weeds and soybean yield......................................................................... 29<br />

5. Lj. Nikolić, D. Latković, J. Berenji, V. Sikora: Weed flora under organic maize<br />

production conditions......................................................................................................41<br />

6. Z. Jovović, N. Latinović, A. Velimirović, T. Popović, D. Stešević, D. Poštić:<br />

Effect of chemical weed treatment on weediness and potato yield....................... 51<br />

7. A. Knežević, B. Ljevnaić-Mašić, D. Džigurski, B. Ćupina: Plant cover of natural<br />

pasture located in the vicinity of the town of Bočar.................................................. 61<br />

8. Z. Domer, Ph. Q. Nam, M. Szalai, Z. Keresztes: Weed composition and diversity<br />

of organic and conventional maize fields in Jâszsâg region, in Hungary................. 75<br />

Instruction to Authors in Herbologia.........................................................................87<br />

Referees of the papers in the Herbologia Vol. 13, No. 2 88


Herbologia, Vol. 13, No. 2, 2012<br />

ALLELOPATHIC EFFECT OF SCENTLESS MAYWEED AND FIELD<br />

POPPY ON SEED GERMINATION AND INITIAL GROWTH OF<br />

WINTER WHEAT AND WINTER BARLEY<br />

Marija Ravlić*, Renata Baličević, Mira Knežević, Ivana Ravlić<br />

Faculty of Agriculture, Josip Juraj Strossmayer University in Osijek, Kralja Petra Svačića ld,<br />

31000 Osijek, Croatia *mravlic@pfos.hr<br />

Abstract<br />

The allelopathic effect of water extracts from fresh roots, stems and<br />

leaves of scentless mayweed (Tripleurospermum inodorum (L.) C.H.<br />

Schultz) and field poppy (Papaver rhoeas L.) on germination and initial<br />

development of winter wheat and winter barley was studied under laboratory<br />

conditions. Results showed that all water extracts significantly reduced<br />

germination of wheat and barley. The highest reduction was observed with<br />

leaf extract of T. inodorum and was 97.3% and 66.8% for wheat and barley,<br />

respectively. Weed extracts showed depressive effect on root and shoot<br />

length and fresh weight of test plants. Maximum reduction of root and shoot<br />

length was recorded with T. inodorum leaf extract. Inhibitory effect was<br />

dependent on donor and recipient species and weed plant part. On average, T.<br />

inodorum extracts had higher inhibitory effect than P. rhoeas extract. When<br />

comparing weed plant parts, leaves were the most allelopathic, followed by<br />

stems and roots. Winter wheat showed greater sensitivity to weed extracts<br />

than winter barley.<br />

Keywords: allelopathy, field poppy, scentless mayweed, water extracts, winter wheat, winter<br />

barley<br />

Introduction<br />

The growth of crops is accompanied by weeds, which besides<br />

competing for light, nutrients, moisture and space with the crop, can also<br />

affect crops growth through allelopathy. Allelopathy is defined as any direct<br />

or indirect harmful or beneficial effect of one plant, fungus or microorganism<br />

on the other ones through production of allelochemicals that escape into the<br />

environment (Rice, 1984). Allelochemicals are present in all plant tissue:<br />

root, stem, leaves, flowers and fruit and can be released in four ways:<br />

volatilization, leaching, exudation and decomposition. Entry of<br />

allelochemicals into environment by leaching and decay of litter is of the<br />

greatest importance for the relationship of crops and weeds (Đikić, 2005).<br />

The release of allelochemicals in soil inhibits seed germination, growth and


Ravlic et al.<br />

establishment of agricultural crops and vegetation (Aldrich and Kramer,<br />

1997; Rice, 1979).<br />

Scentless mayweed (Tripleurospermum inodorum (L.) C.H. Schultz)<br />

is a winter or summer annual or sometimes short lived perennial. It is a weed<br />

of cultivated crops and one of the dominant weeds in winter wheat (Saric et<br />

al., 2011; Peschken et al., 1989). Field poppy (Papaver rhoeas L.) is one of<br />

the most important broad-leaved weeds in winter cereals, a competitive weed<br />

that can decrease wheat yield up to 32% (Tora et al., 2008). Allelopathic<br />

effect of scentless mayweed on germination energy and capacity of cereals<br />

has been reported (Dzienia and Wrzesinska, 2003; Kwiecinska et al., 2011).<br />

The objective of the study was to determine the allelopathic effect of<br />

water extracts from fresh roots, stems and leaves of scentless mayweed (T.<br />

inodorum) and field poppy (P. rhoeas) on germination and early growth of<br />

winter wheat and winter barley.<br />

Materials and methods<br />

The experiment was conducted in 2012 in the Laboratory of<br />

Phytopharmacy and Plant Systematics at the Faculty of Agriculture in Osijek.<br />

Plants of scentless mayweed and field poppy were collected at the<br />

phenological stage 6/65 (Hess et al., 1997) of the weeds from naturally<br />

infested fields and separated in laboratory into root, stem and leaf. Water<br />

extracts from fresh plant parts were prepared according to Majeed et al.<br />

(2012). Each plant part was cut into 1 cm pieces, crushed in distilled water at<br />

1:5 ratio (20 g of plant material in 100 ml of water) and kept for 48 hours at<br />

room temperature. Water extracts were obtained by filtering through muslin<br />

cloth and after that with filter paper and stored in refrigerator for 24 hours.<br />

Winter wheat (cv. Lucija) and winter barley (cv. Barun) seeds were<br />

used in the germination test. The seeds were surface-sterilized for 20 minutes<br />

with 1% NaOCl (4% NaOCl commercial bleach), then rinsed three times<br />

with distilled water (Siddiqui et al., 2009). Twenty five seeds of each crop<br />

were placed in sterilized Petri dishes (100 mm in diameter) on the top of filter<br />

paper. In each Petri dish 5 ml of extract was added, while distilled water was<br />

used as control. Petri dishes were kept at room temperature (22 °C ± 2 °C) for<br />

eight days, observed daily and additional extract/water was added to each as<br />

needed. Each treatment had four replications. Experiment was repeated twice.<br />

Germinated seeds were counted daily for eight days. Germination<br />

percentage was calculated for each replication using the formula: G =<br />

(Germinated seed/Total seed) x 100. Mean germination time (MGT) was<br />

calculated according to the equation of Ellis and Roberts (1981): MGT = £<br />

(Dn) / Y, n>where n is the number of seeds that emergen od day D, and D is<br />

number of days counted from the beginnign of germination. The germination<br />

2


Allelopathic effect of scentless mayweed and field poppy on seed germination.<br />

index (GI) was calculated by using the formula GI = No. of germinated<br />

seeds/Days of first count + ... + No. germinated seeds/Days of final count<br />

(AOSA, 1983). After eight days seedling root length (cm), shoot length (cm)<br />

and fresh weight (mg) were determined. The collected data were analysed<br />

statistically with ANOVA and differences between treatment means were<br />

compared using the LSD-test at probability level of 0.05.<br />

Results and discussion<br />

Water extracts from fresh plant parts of T. inodorum and P. rhoeas<br />

significantly reduced germination of both wheat and barley (Table 1). The<br />

highest inhibition rate was observed with T. inodorum leaf extract which<br />

reduced germination of wheat and barley for 97.3% and 66.8%, respectively,<br />

while P. rhoeas stem showed the lowest reduction of germination, 50.7% and<br />

22.8%. Dzienia and Wrzesinska (2003) and Kwiecinska-Poppe et al. (2011)<br />

reported inhibitory effect of above-ground mass of scentless mayweed on<br />

germination energy and capacity of wheat, rye and triticale.<br />

Table 1. Effect of extracts on germination (%) and mean germination time<br />

(MGT) of wheat and barley<br />

Treatments<br />

Germination (%) MGT (days)<br />

Wheat Barley Wheat Barley<br />

Control 98.5 a 99.0 a 2.0 e 1.9 c<br />

T. inodorum root 34.5 c 41.6 de 4.8 abc 4.2 b<br />

T. inodorum stem 7.1 d 63.2 be 4.1 cd 5.8 a<br />

T. inodorum leaf 2.6 d 32.9 e 5.5 a 5.4 a<br />

P. rhoeas root 46.3 be 56.2 cd 4.2 bed 3.9 b<br />

P. rhoeas stem 48.6 b 76.4 b 3.6 b 2.3 c<br />

P. rhoeas leaf 35.9 be 34.8 e 5.3 ab 4.6 b<br />

a,b,c - means followed by the same letter within the column are not significantly different at P


Ravlic et al.<br />

significant in all treatments compared to control, except for barley when T.<br />

inodorum root extract was applied. Maximum reduction was recorded for<br />

wheat with T. inodorum leaf extract and was 93.0%. According to their<br />

inhibition potential, extracts can be ranked in the following order: T.<br />

inodorum leaf > T. inodorum stem > P. rhoeas stem > P. rhoeas leaf > P.<br />

rhoeas root > T. inodorum root. Similarly, Kwiecinska et al. (2012) observed<br />

root reduction of rye and triticale with higher concentrations of extracts from<br />

fresh and dry biomass of scentless mayweed.<br />

Table 2. Effects of extracts on root and shoot length (cm) of wheat and barley<br />

Treatments<br />

Root length (cm)________ Shoot length (cm)<br />

Wheat_____ Barley________________ Wheat_____Barley<br />

Control 10.49 a 9.93 a 6.48 a 8.34 a<br />

T. inodorum root 5.12b 9.01 a 5.10b 7.62 ab<br />

T. inodorum stem 1.12 d 1.67 d 1.90 e 1.34 c<br />

T. inodorum leaf 0.73 d 2.08 d 0.43 f 0.25 c<br />

P. rhoeas root 3.72 c 6.81 b 4.72 be 7.19 ab<br />

P. rhoeas stem 1.48 d 3.65 c 3.68 cd 6.38 b<br />

P. rhoeas leaf 3.44 c 6.72 b 3.38 d 5.88 b<br />

a,b,c - means followed by the same letter within the column are not significantly different at P T.<br />

inodorum stem > P. rhoeas leaf > P. rhoeas stem > P. rhoeas root > T.<br />

inodorum root.<br />

The mechanism of inhibition on the seedling growth caused by<br />

allelochemicals can be result of reduced cell division and/or cell elongation<br />

(Iman et al., 2006).<br />

Significant differences have been observed between treatments in<br />

influencing wheat and barley fresh weight (Table 3). As compared to the<br />

4


Allelopathic effect of scentless mayweed and field poppy on seed germination.<br />

control, only P. rhoeas root extract showed no significant reduction in wheat<br />

fresh weight. Contrary, only stems and leaves of T. inodorum reduced barley<br />

fresh weight for 75.2% and 90.2%.<br />

Germination index of both test plants was significantly reduced in all<br />

treatments with weed extracts (Table 3). Reduction of GI in wheat varied<br />

from 68.8% to 99.4% and in barley from 35.6% to 89.2%.<br />

Table 3. Effect of extracts on fresh weight (mg) and germination index (GI)<br />

of wheat and barley<br />

Treatments<br />

Fresh weight (mg) Germination index<br />

Wheat Barley Wheat Barley<br />

Control 85.47 a 139.09 a 42.22 a 46.66 a<br />

T. inodorum root 57.19 b 103.94 a 7.04 cd 9.58 cd<br />

T. inodorum stem 39.46 b 34.51 be 1.81 e 8.09 de<br />

T. inodorum leaf 8.21 c 13.65 c 0.26 e 5.05 e<br />

P. rhoeas root 58.92 ab 119.69 a 10.25 be 14.92 c<br />

P. rhoeas stem 45.72 b 101.10 ab 13.19b 30.04 b<br />

P. rhoeas leaf 43.02 b 97.41 ab 6.12 d 7.77 de<br />

a,b,c - means followed by the same letter within the column are not significantly different at P


Ravlic et al.<br />

Conclusions<br />

Water extracts from fresh root, stems and leaves of T. inodorum and<br />

P. rhoeas inhibited germination of winter wheat and winter barley. Inhibitory<br />

effect varied from 22.8% to 97.4%. Mean germination time for both test<br />

species was significantly increased compared to the control.<br />

Water extracts had depressive effect on wheat and barley seedling<br />

growth and fresh mass. The greatest reduction of root and shoot length of<br />

wheat and barley were recorded in treatment with T. inodorum leaf and stem<br />

extract.<br />

Inhibitory effect of extracts was dependent on donor and recipient<br />

plants and plant parts.<br />

References<br />

ALDRICH, R.J., R.J. KREMER, 1997: Principles in Weed Management. 2nd Edition. Iowa<br />

State University Press.<br />

AOSA, 1983: Seed vigor hand testing book. Contribution No. 32. To the handbook of seed<br />

testing. Association of Official Seed Analysis. Springfield, IL.<br />

DZIENIA, S., E. WRZESINSKA, 2003: Effects of water extracts from selected weed species<br />

on germination energy and growth of cereal seedlings. Pam. Pul., 134, 79-87.<br />

BIK lt, M. 2005: Allelopathic effect of cogermination of aromatic and medicinal plants and<br />

weed seeds. Herbologia, 6 (1), 15-24.<br />

ELLIS, R.A., E.H. ROBERTS, 1981: The quantification of ageing and survival in orthodox<br />

seeds. Seed Sci. Technol., 9, 373-409.<br />

HESS, M., G. BARRALIS, H. BLEIHOLDER, H. BUHR, T. EGGERS, H. HACK, R.<br />

STAUSS, 1997: Use of the extended BBCH scale - general for the description of<br />

the growth stages of mono- and dicotykedonous species. Weed Research, 37, 433-<br />

441.<br />

IMAN, A., S. WAHAB, M. RASTAN, M. HALIM, 2006: Allelopathic effect of sweet com<br />

and vegetable soybean extracts at two growth stages on germination and seedling<br />

growth of com and soybean varieties. Journal of Agronomy, 5, 62-68.<br />

KALINOVA, S., I. GOLUB INOVA, A. HRISTOSKOV, A. ILIEVA, 2012: Allelopathic<br />

effect of aqueous extract from root system of johnsongrass on the seed germination<br />

and initial development of soybean, pea and vetch. Herbologia, 13 (1), 1-10.<br />

KWIECINSKA-POPPE, E., P. KRASKA, E. PALYS, 2011: The influence of water extracts<br />

from Galium aparine L. and Matricaria maritime subsp. inodora (L.) Dostal on<br />

germination of winter rye and triticale. Acta Sci. Pol., Agricultura, 10 (2), 75-85.<br />

MAJEED, A., Z. CHAUNDRY, Z. MUHAMMAD, 2012: Allelopathic assessment of fresh<br />

aqueous extracts of Chenopodium album L. for growth and yield of wheat (Triticum<br />

aestivum L.). Pak. J. Bot,. 44,165-167.<br />

MARINOV-SERAFIMOV, P. 2010: Determination of Allelopathic Effect of Some Invasive<br />

Weed Species on Germination and Initial Development of Grain Legume Crops.<br />

Pestic. Phytomed., 25,251-259.<br />

PESCHKEN, D.P., A.G. THOMAS, G.G. BOWES, D.W. DOUGLAS, 1989: Scentless<br />

Chamomile (Matricaria perforata) - A New Target Weed for Biological Control. In<br />

“Proc. VII. Int. Symp. Biol. Contr. Weeds, 6-11 March 1988, Rome, Italy” (ed. E.S.<br />

Delfosse), pp. 411-416.1st. Sper. Patol. Veg. (MAF), Rome.<br />

6


Allelopathic effect of scentless mayweed and field poppy on seed germination.<br />

RAOOF, K.MA., M.B. SIDDIQUI, 2012: Allelopathic effect of aqueous extracts of<br />

different parts of Tinospora cordifolia (Willd.) Miers on some weed plants. J. Agric.<br />

Ext. Rural Dev., 4 (6), 115-119.<br />

RICE, E.L. 1984: Allelopathy. 2nd edition. Academic Press, Orlando, Florida.<br />

RICE, E.L. 1979: Allelopathy An Update. Botanical Review, 45, 15-109.<br />

SARIC, T., Z. OSTOJIC, L. STEFANOVIC, S. MILANOVA, G. KAZINCZI, L. TYSER,<br />

2011: The changes of the composition of weed flora in South-eastern and Central<br />

Europe as affected by cropping practices. Herbologia, 12 (1), 4-28.<br />

TANVEER, A., A. REHMAN, M.M. JAVAID, R.N. ABBAS, M. SIBTAIN, A.U.H.<br />

AHMAD, M.S. IBIN-I-ZAMIR, K.M. CHAUDHARY, A. AZIZ, 2010:<br />

Allelopathic potential of Euphorbia helioscopia L. against wheat (Triticum aestivum<br />

L.), chickpea (Cicer arietinum L.) and lentil (Lens culinaris Medic.). Turk. J. Agric.<br />

For., 34,75-81.<br />

TORRA, J., J.L. GONZALEZ-ANDUJAR, J. RECASENS, 2008: Modelling the population<br />

dynamics of Papaver rhoeas under various weed management systems in<br />

Mediterranean climate. Weed Res., 48,136-146.<br />

7


Ravlić et al.<br />

8


Herbologia, Vol. 13, No. 2, 2012<br />

ALLELOPATHIC EFFECT OF Echinochloa crus-galli ON FIELD CROPS<br />

Asif Tanveer*, Muhammad Mansoor Javaid1, Abdul Khaliq, Rana<br />

Nadeem Abbas and Ahsan Aziz1<br />

Department of Agronomy, University of Agriculture, Faisalabad, 38040, Pakistan.<br />

'Department of Agronomy, University College of Agriculture, University of<br />

Sargodha, Sargodha, Pakistan. * Corresponding author E-mail:<br />

drasiftanveeraaf@hotmail.com<br />

Abstract<br />

Root, stem, leaf and inflorescence extracts of Echinochloa crus-galli<br />

plants were used to determine their inhibitory and stimulatory effects on seed<br />

germination and seedling growth of sunflower, wheat, barley, rice and maize.<br />

Leaf extract of E, crus-galli was the most detrimental for rice, maize and<br />

sunflower whereas stem extract was the most for wheat and barley<br />

germination. Leaf extract significantly delayed the test species germination<br />

(except sunflower) and decreased the germination index compared to control.<br />

The greatest inhibition of sunflower and wheat root length was noted with E.<br />

crus-galli leaf extract. Maximum inhibition of wheat and maize shoot length<br />

was caused by stem extract. Whereas root and leaf extracts caused more<br />

reduction in shoot length of barley and rice, respectively. Root extract of E.<br />

crus-galli stimulated root dry biomass accumulation of sunflower and wheat.<br />

In rice root and shoot dry matter accumulation was reduced with root, stem<br />

and inflorescence extracts. These results suggest that extracts from various<br />

parts of E. crus-galli may be a source of allelochemicals.<br />

Keywords: allelopathy, Echinochloa crus-galli, barley, maize, rice, sunflower, wheat.<br />

Introduction<br />

Weeds have stimulatory or inhibitory effects on the seed germination,<br />

seedling growth and development of their own kind and on other species<br />

grown in their immediate vicinity, by means of producing allelochemicals<br />

(Shauket et al., 2003; Macias et al., 2004). Weeds differ not only in<br />

allelochemicals production but also different parts of same species may<br />

produce allelochemicals varying in properties and concentration; hence they<br />

vary in their allelopathic effects (Tanveer et al., 2010).<br />

When susceptible plants are exposed to allelochemicals, their<br />

germination, growth and development may be affected. Many grasses exhibit<br />

allelopathy against other species. Hamayum et al. (2005) observed more<br />

inhibitory effect of aqueous extract of E. crus-galli shoot on germination of<br />

maize compared with rhizome extracts.


Tanveer et al.<br />

According to Batish et al. (2009) leaf debris of Ageratum conyzoides<br />

L. deleteriously affected the early growth of rice by releasing water soluble<br />

phenolic acid into the soil environment. Inhibitory effect of Cynodon<br />

dactylon (L.) Pers. on seed germination and seedling growth of Phaseolus<br />

vulgaris L. and Triticum aestivum L. has been reported by Sarika and Rao<br />

(2006), Bhawana et al. (2009) and Sarika et al. (2010). Leaf extract of<br />

Parthenium hysterophorus L. showed complete failure of seed germination at<br />

8% in Triticum aestivum, at 10% in Oryza sativa, at 12% in Hordeum<br />

vulgare and Avena sativa. However, the seed germination of Zea mays was<br />

not completely inhibited (Pandey et al., 2011).<br />

Echinochloa crus-galli is the most problematic weed of lowland rice<br />

in Pakistan. An important hindrance in its management is that even expert<br />

farmers can not differentiate it from rice due to morphological similarities<br />

particularly at vegetative stage. As a result the weed grows luxuriantly in rice<br />

throughout crop growth period and adversely affects the efficiency of crop.<br />

Its heavy infestation also causes lodging of crop.<br />

Rice-wheat, rice-barley, rice-maize (spring) and rice-sunflower<br />

(spring) are among the major cropping systems practiced in rice growing<br />

areas of Pakistan. Problems arising from growing the same crop and presence<br />

of its associated weeds in succeeding years include poor establishment and<br />

stunted growth of the subsequent crops that leads to investigations of possible<br />

causes, including allelopathy (Kruse et al., 2000). Inhibitory effects on<br />

germination and establishments of crops caused by residues of either crops or<br />

weeds have lead to investigation of the release of toxic compounds from such<br />

residues. For example, the allelopathic interference of both living plant and<br />

of plant residues of the highly aggressive weed Elytrigia repens, quackgrass,<br />

has been strongly indicated (Weston & Putnam, 1985). It is hypothesized that<br />

poor performance of rice-based cropping systems in Pakistan may be due to<br />

harmful effects of metabolites released by the decaying E. crus-galli plants.<br />

Therefore, keeping in view the possible role of E. crus-galli in suboptimal<br />

crop establishment, the present investigations were made to find allelopathic<br />

effects of E. crus-galli on germination of wheat, barley, rice, maize and<br />

sunflower.<br />

Materials and methods<br />

About 150 days old mature plants of E. crus-galli were uprooted from<br />

rice field growing at student’s farm, Department of Agronomy, University of<br />

Agriculture, Faisalabad, Pakistan. The inflorescences, shoots, leaves and<br />

roots of E. crus-galli were separated and dried at room temperature for one<br />

month. Aqueous extracts were made by soaking plant materials in water<br />

(1:20, w/v) for 24 hours and filtered through 10 and 60 mesh sieve. Hundred<br />

10


Allelopathic effect of Echinochloa crus-galli on field crops<br />

seeds of wheat, barley, rice, and fifty seed of maize and sunflower were<br />

uniformly placed on filter paper (whatman No. 10) in Petri-dishes of 9 cm<br />

diameter and moistened with equal amount (4 ml) of the respective extract or<br />

distilled water (control) and topped with a sheet of filter paper. There were<br />

four replications. The dishes were incubated at 20°C for wheat and barley<br />

and 30°C for maize, sunflower and rice. Equal amount of respective extracts<br />

were added whenever needed during the experiment.<br />

Standard procedures were followed to record data on germination<br />

percentage and index (Association of official seed analysis, 1990), mean<br />

germination time (MGT) (Ellis and Roberts, 1981), root and shoot length,<br />

root and shoot dry weight per plant.<br />

Data were analyzed statistically using Fishers Analysis of Variance<br />

technique and treatment means were compared at 5% probability level. (Steel<br />

et al., 1997).<br />

Germination<br />

Results and discussion<br />

Root, stem, leaf and fruit extracts of E. crus-galli affected<br />

significantly the germination percentages, mean germination time (MGT) and<br />

germination index (GI) of wheat, rice, maize and barley seeds as compared to<br />

distilled water (control) (Table 1). Rice and maize seed germination was<br />

significantly lowest with leaf extract while stem extract showed most<br />

inhibitory effect on germination of wheat and barley seeds. Leaf extract of E.<br />

crus-galli significantly delayed the germination of all test crops except<br />

sunflower where maximum MGT was recorded with root extract that was<br />

statistically at par with stem and fruit extract. Leaf extract showed most<br />

deleterious effects on all test crops by decreasing GI but leaf extract was<br />

statistically at par with stem extract in decreasing the value of GI of wheat<br />

(Table 1). Maximum GI of test species was recorded with distilled water.<br />

Leaf and stem extracts of E. crus-galli were most detrimental to seed<br />

germination of all test crops. This suggested that the allelopathic compounds<br />

11


Tanveer et al.<br />

Table 1. Germination and germination traits of sunflower, wheat, barley, rice and maize seeds as influenced by extracts<br />

of different E. crus-galli parts.<br />

Germination (%) MGT(Days) GI<br />

Treatment<br />

Wheat Barley Rice Maize<br />

Wheat Barley Rice Maize<br />

Sunflower<br />

Sunflower<br />

Sunflower<br />

Wheat Barley Rice Maize<br />

Control 45.0a 88.5ab 99.3a 92.3ab 45.8a 2.9c 2.8b 3.0b 2.7b 2.7ab 19.4a 40.0a 42.2bc 84.7ab 19.9ab<br />

Root Extract 33.0b 88.8ab 98.3ab 93.3a 42.3ab 3.7a 3.4a 3.1b 2.8b 2.8ab 14.2bc 38.4ab 43.6ab 82.4ab 19.7ab<br />

Stem Extract 33.5b 86.3b 95.3b 90.5ab 44.8ab 3.5ab 3.4a 3.3ab 2.8b 2.4b 14.1bc 36.3c 42.1bc 77.1b 20.9a<br />

Leaf Extract 32.5b 90.8a 97.8ab 81.0b 41.0b 3.1bc 3.4a 3.7a 2.9a 3.0a 13.5c 36.4c 40.3c 60.9c 18.5b<br />

Fruit Extract 40.0ab 91.8 a 98.8a 97.3a 42.8ab 3.4ab 3.4a 2.9b 2.7b 3.0a 17.8ab 37.2bc 44.9a 89.4a 19.7ab<br />

LSD (P>0.5) 2.9 3.8 3.4 11.9 4.7 10.1 0.4 0.5 0.1 0.4 0.5 1.7 2.4 10.1 1.718<br />

Means sharing the same letter in a column do not differ significantly at 5% probability level.<br />

12


Allelopathic effect of Echinochloa crus-galli on field crops<br />

responsible for producing adverse effects on seed germination are present in<br />

leaf and stem. This also implies that these allelopathic compounds might be<br />

present in excessive amount in E. crus-galli leaf and stem as compared to<br />

root and fruit extracts. These results are in line with those of Rice (1974)<br />

who reported that roots generally contain fewer and less potent inhibitors<br />

than leaves. These results are further supported by Pandey et al. (2011) who<br />

found that the production of a wide range of secondary products by different<br />

plant parts are the characteristics of species and these products may be<br />

inhibitory to seed germination. In addition previous investigations of many<br />

researchers such as Turk et al. (2003) and Iqbal et al. (2004) showed that<br />

weeds caused variable inhibitory effects to different crops.<br />

Seedling growth<br />

Aqueous extracts of E. crus-galli root, stem, leaf and fruit did not<br />

significantly inhibit the emergence of sunflower, wheat and barley seeds<br />

while their effect was significant on emergence of rice and maize seed (Fig.<br />

1). Leaf extract caused significantly maximum reduction in emergence of<br />

rice seedling while stem extract was most inhibitory to maize seedling. Leaf<br />

extract caused maximum reduction in root length of sunflower and wheat as<br />

compared to extract of other parts of E. crus-galli (Table 2). Extracts from<br />

different parts of E. crus-galli caused reduction in root length of barley as<br />

compared to control but they did not differ statistically from each other for<br />

producing this effect. Stem extract was most inhibitory to shoot length of<br />

wheat and maize, while root and leaf extract caused more reduction in shoot<br />

length of barley and rice, respectively. Effect of root, stem, leaf and fruit<br />

extracts of E. crus-galli was non-significant on root length of rice and<br />

maize, and shoot length of sunflower (Table 2).<br />

Root extract of E. crus-galli had stimulatory effect on root dry<br />

weight of sunflower and wheat showing more root dry weight value<br />

compared with the seedlings raised with extract of other parts of E. crusgalli<br />

and control (Table 3). Extracts from various parts of E. crus-galli<br />

(except leaf extract) also showed stimulatory effect on rice root dry weight<br />

compared with distilled water (control). Aqueous extracts from various parts<br />

of E. crus-galli did not produce any significant effect on root dry weight of<br />

barley and maize. Extracts from different parts of E. crus-galli (except leaf<br />

extract in rice) caused increase in dry weight of sunflower and rice shoot<br />

compared with control. Shoot dry weight of wheat, barley and maize was<br />

influenced significantly by different extracts of E. crus-galli (Table 3).<br />

13


Tanveer et al.<br />

120<br />

□ Control □ Root Extract 0 Stem Extract H Leaf Extract B F n<br />

100<br />

80<br />

£<br />

g 60<br />

0£<br />

¡ 4 0<br />

W<br />

20<br />

LSD (P>0.5) NS NS NS 17.29 29.16<br />

Fig. 1. Effects o f aqueous extracts o f different parts o f E. crus-galli on emergence<br />

percentage o f sunflower, wheat, barley, rice and maize.<br />

Emergence of all test crops except rice and maize was not influenced<br />

significantly by E. crus-galli extracts. This might be due to little or no effect<br />

of this weed extracts on emergence. It is suspected that extracts/leachates in<br />

the soil are subjected to degradation resulting less phytotoxic effect to<br />

emergence of crop seedlings as Kobayashi (2004) pointed out that<br />

phytotoxicity of allelochemicals is influenced by soil factors, which leads to<br />

reduction in their activity than that obtained in non-soil condition. Similarly<br />

E. crus-galli affected germination more in non-soil conditions.<br />

Root/shoot length and dry weight of test crops showed a variable<br />

response to the application of various extracts of E. crus-galli. Leaf and<br />

stem extracts of E. crus-galli were more inhibitory than root and fruit<br />

extracts. Reduction in root growth of test crops seedlings suggested that the<br />

activity of root might have been hampered by allelochemicals. Similarly,<br />

Chon et al. (2000) reported that the root growth of alfalfa was reduced when<br />

germinated seeds are exposed to allelochemicals in dilute aqueous solutions.<br />

Previous reports by various scientists also supported our results as Chon et<br />

al. (2002) reported that higher concentrations of leaf extracts inhibit both<br />

root elongation and hypocotyl growth due to inhibition or delay of seed<br />

germination. Our findings also corroborates earlier reports that root growth<br />

is<br />

14


Allelopathic effect of Echinochloa crus-galli on field crops<br />

Table 2. Root and shoot length of sunflower, wheat, barley, rice and maize<br />

seedlings as influenced by aqueous extracts of different parts of E. crusgalli.<br />

Root length (cm)<br />

Shoot length (cm)<br />

Treatment<br />

Wheat Barley Rice Maize<br />

Sunflower<br />

Sunflower<br />

Wheat Barley Rice Maize<br />

Control 11.0a 10.2a 18.2a 3.1 9.7 10.8 9.5a 19.6ab 6.2ab 11.7ab<br />

Root Extract 9. lab 9.5ab 12.4b 2.9 10.2 8.3 10.0a 16.6b 4.9b 14.2a<br />

Stem Extract 8.6ab 7.6c 12.7b 2.9 6.7 7.8 7.1b 19.0ab 7.2a 7.3b<br />

Leaf Extract 7.7b 7.0c 13.1b 2.2 9.4 8.1 7.4b 20.0ab 3.2c 9.5ab<br />

Fruit Extract 8.2ab 8.2bc 14.3b 2.9 8.8 9.6 9.5a 22.16a 5.2b 9.9ab<br />

LSD (P>0.5) 2.9 1.4 3.2 NS NS NS 2.1 5.3 1.7 6.9<br />

Means sharing the same letter in a column do not differ significantly at 5%<br />

probably level.<br />

Table 3. Root and shoot dry weight of sunflower, wheat, barley, rice and<br />

maize seedlings as influenced by aqueous extracts of different parts of E.<br />

crus-galli._______________________________ ________________________<br />

Root dry weight (mg)<br />

Shoot dry weight (mg)<br />

Treatment<br />

Wheat Barley Rice Maize<br />

Sunflower<br />

Sunflower<br />

Wheat Barley Rice Maize<br />

Control 18.0b 6.0ab 26.7 1.6bc 35.5 34.8b 7.8 21.3 4.4ab 41.8<br />

Root Extract 43.3a 7.3a 22.3 2.4a 38.2 37.2ab 8.2 22.5 4.3ab 45.3<br />

Stem Extract 23.0b 5.4b 14.1 2. lab 20.5 39.8a 7.1 16.9 5.7a 25.5<br />

Leaf Extract 20.8b 5.7b 28.7 1.1c 36.0 37.5ab 7.7 19.6 3.0b 30.5<br />

Fruit Extract 14.3b 5.9ab 22.8 1.7abc 29.5 37.0ab 7.3 24.4 4.5a 32.5<br />

LSD (P>0.5) 12.1 1.5 NS 0.8 NS 4.1 NS NS 1.5 NS<br />

Means sharing the same letter in a column do not differ significantly at 5% probably level.<br />

more sensitive to application of extracts than seed germination or hypocotyl<br />

growth (Chon et al., 2000; Sarika et al., 2010). Similarly, our results are<br />

15


Tanveer et al.<br />

also supported by Turk et al. (2003) who revealed that the application of<br />

plant extracts not only inhibited radical elongation but other morphological<br />

abnormalities were also observed as many of the extracts caused twisted<br />

radical growth.<br />

Aqueous extracts were also inhibitory to the shoot growth; that could<br />

be explained by the fact that biomolecules inhibited cell division and<br />

elongation through restricting gibberellin or indole acetic acid induced<br />

growth, retardation of photosynthesis and inhibition or stimulation of<br />

respiration, among others (Rice, 1974). These results are also in agreement<br />

with the results of Turk et al. (2003) and Batish et al. (2009) who reported<br />

that the flower and leaf extracts caused the greatest reduction in hypocotyls<br />

length when compared with extracts from other plant parts.<br />

References<br />

ASSOCIATION OF OFFICIAL SEED ANALYSIS, 1990: Rules for testing seeds. Journal<br />

of Seed Technology 12, 1-112.<br />

BHAWANA, J., SARIKA, N. PANDEY, P.B. RAO, 2009: Allelopathic effect of weed<br />

species extracts on germination, growth and biochemical aspects in different<br />

varieties of wheat (Triticum aestivum L.). Indian Journal o f Agricultural Research,<br />

43, 79-87.<br />

BATISH D.R., S. KAUR, H.P. SINGH, K. KOHLI R, 2009: Nature of interference<br />

potential of leaf debris of Ageratum conyzoides. Plant Growth Regulation, 57,<br />

137-144.<br />

CHON, S.U., S.K. CHOI, S.H.G. JUNG, B.S. PYO, S.M. KIM, 2002: Effect of alfalfa leaf<br />

extracts and phenolic allelochemicals on early seedling growth and root<br />

morphology of alfalfa and barnyard grass. Crop Protection, 21,1077-1082.<br />

CHON, S.U., J.H. COUTTS, C.S. NELSON, 2000: Effect of light, growth media and<br />

seedling orientation on bioassays of alfalfa auto toxicity. Agronomy Journal, 92,<br />

715-720.<br />

ELLIS, R.A., E.H. ROBERTS, 1981: The quantification of agent and survival in orthodox<br />

seeds. Seed Science and Technology, 9, 373-409.<br />

HAMAYUM, M., F. HUSSAIN, S. AFZAL, N. AHMAD, 2005: Allelopathic effect of<br />

Cyperus rotundus and Echinochloa crus-galli on seed germination and plumule<br />

and radicale growth in maize (Zea mays L.). Pakistan Journal o f Weed Science<br />

and Research, 11, 81-84.<br />

IQBAL, Z., A. FURUBAYASHI, Y. FJUJIL, 2004: Allelopathic effect of leaf debris, leaf<br />

aqueous extract and rhizosphere soil of Ophiopogen japonicus ker-Gawler on<br />

growth of plant. Weed Biology and Management, 4,43-48.<br />

KOBAYASHI, K., 2004: Factor affecting phytotoxic activity of allelochemicals in soil.<br />

Weed Biology and Management, 4,1-7.<br />

MACiAS F.A., J.C.G. GALINDO, J.M.G. MOLINILLO, H.G. CUTLER, 2004:<br />

Allelopathy: Chemistry and mode of action of allelochemicals: CRC Press.<br />

PANDEY, H.P., A.K. RAZA, S.K. CHAUHAN, 2011: Assessment of allelopathic<br />

aggression of Parthenium hysterophorus L. on seed germination and seedling<br />

growth of some important cereals. Trends in Biosciences, Indianjoumals.com. 4.<br />

RICE, E.L., 1974: Allelopathy. Academic Press: New York. USA.<br />

16


Allelopathic effect of Echinochloa crus-galli on field crops<br />

STEEL, R.G.D., J.H. TORRIE, D. DICKY, 1997: Principles and Procedures of Statistics. A<br />

Biometrical Approach. 3rd Ed. McGraw Hill Book Co., New York, USA.<br />

SARDCA, P.B. RAO. 2006: Effect of weed extracts on germination, seedling growth and<br />

protein in french bean (Phaseolus vulgaris L.) varieties. Allelopathy Journal, 17,<br />

223-234.<br />

SARIKA, N. PANDEY, P.B. RAO, 2010: Allelopathic effects of weed species extracts on<br />

some physiological parameters of wheat varieties. Indian J. Plant Physiology, 15,<br />

310-318.<br />

SHAUKAT S.S., Z. TAJUDDIN, I.A. SIDDIQUI, 2003: Allelopathic Potential of Launaea<br />

procumbens (Roxb.) Rammaya and Rajgopal: A Tropical Weed. Pakistan Journal<br />

of Biological Sciences 6: 225-230.<br />

TANVEER A, A. REHMAN, M.M. JAVAID, R.N. ABBAS, M. SIBTAIN, A. AHMAD<br />

M.S. IBIN-I-ZAMIR, K.M. CHAUDHARY, A. AHSAN, 2010. Allelopathic<br />

potential of Euphorbia helioscopia L. against wheat (Triticum aestivum L.),<br />

chickpea (Cicer arietinum L.) and lentil (Lens culinaris Medic./ Turkish Journal<br />

of Agriculture and Forestry 34: 75-81.<br />

TURK, M.A., M.K. SHATNAWI & M.A. TOWAHA, 2003: Inhibitory effect of aqueous<br />

extract of black mustard on germination and growth of alfalfa. Weed Biology and<br />

Management, 3, 37-40.<br />

WESTON, L. A., A.R. PUTNAM, 1985. Inhibition of growth, nodulation, and nitrogen<br />

fixation of legumes by quackgrass. Crop Science 25: 561-565.<br />

17


Tanveer et al.<br />

18


Herbologia, Vol. 13, No. 2, 2012<br />

INFLUENCE OF PLANTS WATER EXTRACTS ON THE<br />

GERMINATION AND EARLY SEEDLING GROWTH OF WINTER<br />

WHEAT<br />

Rahamdad Khan1*, Muhammad Haroon1, Muhammad Waqas1 and<br />

Ikram Ullah2<br />

1 Department of Weed Science, The University of Agriculture, Peshawar, Pakistan.<br />

2 Department of Agronomy, The University of Agriculture, Peshawar, Pakistan.<br />

‘Correspondence: weedscientist@aup.edu.pk<br />

Abstract<br />

A laboratory based trial using water extract was conducted to<br />

investigate the allelopathic potential of Sorghum bicolor, Oryza sativa,<br />

Helianthus annuus, Parthenium hysterophorus, Sorghum halepense and<br />

Phragmites australis on wheat (Triticum aestivum L.) during December,<br />

2010 in the Weed Science Research Laboratory, Department of Weed<br />

Science, The University of Agriculture Peshawar, Pakistan. Fresh plants of<br />

S. bicolor, O. sativa, H. annuus, P. hysterophorus, S. halepense and P.<br />

australis were collected, dried and ground. Then the powder was soaked in<br />

tap water @ 120 g L'1. Ten seeds of wheat were placed in Petri dishes<br />

separately and different concentrations of extracts were applied according to<br />

the requirements. A control treatment (0 g/liter) was also included for<br />

comparison. The experiment was laid out in completely randomized design<br />

(CRD) with three replications and treatments. The results showed that with<br />

P. hysterophorus and H. annuus extract concentration significantly<br />

decreased germination percentage, seed vigor index (SVI), shoot length<br />

(cm) p lan t', shoot weight (g) plant'1of the test species. The tolerance order<br />

of the wheat against the extract concentration of Oryza sativa L. and<br />

Sorghum bicolor (L.) Moench. was higher than against the other species. In<br />

the present study wheat proved more susceptible to P. hysterophorus and H.<br />

annuus L extracts.<br />

Keywords: allelopathy, wheat, germination percentage, seed vigor index.<br />

Introduction<br />

Wheat (Triticum aestivum L.) is one of the most significant annual<br />

self-pollinated winter grain crop. Wheat was sown in Pakistan on an area of<br />

9 million ha during 2008-2009 which produced 24 million tons grain yield<br />

with an average grain yield of 2657 kg ha'1, while in Khyber Pakhtunkhwa<br />

Province (KPK), it was grown on 769.5 thousand ha area which produced


Khan et al.<br />

1204.5 thousand tons grain yield with an average grain yield of 1565 kg ha'1<br />

(MINFAL, 2008-2009). Weed infestation is the main cause of low yields in<br />

wheat in Pakistan and probably reduces yields by 25-30% (Nayyar et al.,<br />

1994). Weeds compete with crop plants for different factors (Anderson,<br />

1983) and sometime interfere with crop growth by releasing toxic<br />

substances in the rhizosphere (Rice, 1984). Apart from direct effects, weeds<br />

may also serve as alternate host for insect pests. According to Baloch (1993)<br />

grain yield in Pakistan may be increased by up to 37% if weeds are properly<br />

controlled.<br />

Traditional methods for controlling weeds are time consuming,<br />

weather dependent and labor intensive. Unwise use of herbicides in tropical<br />

agriculture can create environmental hazards and their safety is also<br />

uncertain (Kasasian, 1971). Allelopathy is a mechanism in which chemicals<br />

produced by weed plants may increase or decrease the associated plant<br />

growth. Rice (1984), defined allelopathy as the effects of one plant<br />

(including microorganisms) on another plant via the release of chemicals<br />

into the environments. Allelopathy refers to inhibitory or stimulatory effects<br />

of one plant on other plants through release of allelochemicals in the<br />

environment (Chandra Babu and Kandasamy, 1997). The plant produces<br />

allelochemicals which interfere with other plants and affect seed<br />

germination and seedling growth (Alam and Islam, 2002). Sorghum<br />

{Sorghum bicolor) is well recognised for its allelopathic effects on other<br />

crops (Putnam and DeFrank, 1983). Phenolic acids have been identified in<br />

allelopathic rice germplasm (Rimando et al., 2001). Sunflower leaf extracts<br />

caused reduction in radical and hypocotyl length of mustard seedling<br />

(Wardle et al., 1991; Bogatek et al., 2006). Seed germination and seedling<br />

growth inhibition of many crops have been reported by parthenium extracts<br />

e.g. barley (Hordeum vulgare L.) and maize (Rashid et al., 2008). Seyed<br />

(2007) reported that wild sorghum extract influenced the germination and<br />

growth of com, though it can have an affect the germination indicator.<br />

Allelopathy may also play an eminent role in the intraspecific and<br />

interspecific competition and may determine the type of interspecific<br />

association. The plant may exhibit inhibitory or rarely stimulatory effects on<br />

germination and growth of other plants in the immediate vicinity (Nasira<br />

and Moinuddin, 2009).<br />

The purpose of this study was to determine the possible allelopathic<br />

effects of different plant species in the agricultural fields of the country<br />

{Sorghum bicolor, Oryza sativa, Helianthus annuus, Parthenium<br />

hysterophorus, Sorghum halepense and Phragmites australis) on<br />

germination and growth of wheat crop.<br />

20


Influence of plant eater extracts on the germination and early seedling growth .<br />

Materials and methods<br />

The experiments was conducted during December, 2010 in the Weed<br />

Science Laboratory The University of Agriculture Peshawar, Pakistan to<br />

study the allelopathic effects of Sorghum bicolor, Oryza sativa, Helianthus<br />

annuus, Parthenium hysterophorus, Sorghum halepense and Phragmites<br />

australis on germination and growth of wheat crop. Mature plants were<br />

harvested from New developmental Research Farm, The University of<br />

Agriculture Peshawar, Pakistan. The samples were put in paper bags and<br />

oven (WiseVen) dried at 65°C for 72 hours. All the plant samples were<br />

grinded with a grinder and kept in paper bags under room temperature. After<br />

grinding an aqueous extract solutions were made from each sample with a<br />

ratio of 4:60 (4 gram sample and 60 ml distilled water) and left for 24h at<br />

room temperature, and then filtered through two layers of muslin cloth to<br />

obtain their aqueous extracts. The experiment was laid out using a<br />

Completely Randomized Design (CRD) and each treatment replicated three<br />

times. Twenty one plastic made Petri dishes (9 cm diameter in size) were<br />

randomly arranged inside the Weed Science Laboratory and lined with three<br />

layers of tissue paper. Seeds of wheat were thoroughly cleaned manually<br />

and 10 seeds were carefully placed into each Petri dish using a forceps.<br />

After noticing seed germination, the lids were carefully removed as to<br />

record seed germination as well as allow the seedlings to grow up. The<br />

experiment was looked after regularly for its entire duration of 12 days.<br />

Seeds inside all Petri dishes were considered germinated whose radicals<br />

appeared and counted visually. This activity was undertaken for two weeks<br />

time until all the seeds were either germinated and/or expired. The shoots<br />

length of all the seedlings was measured using a plastic measurement rod<br />

while their fresh weight was measured using an electrical balance at the 12th<br />

day growth stage. Data recorded during the experiment was added and<br />

means were taken. The data means were then accordingly subjected to<br />

Analysis of Variance (ANOVA) individually using MSTATC statistical<br />

analysis package and means were separated by least significance test (LSD)<br />

(Steel and Torrie, 1980) to identify significant differences.<br />

Germination (%)<br />

Results and discussions<br />

Statistical analysis of the data showed the impact of the aqueous<br />

extract of different plant species on germination (%) of wheat (Table 1). The<br />

table showed that highest germination (%) was recorded at the control<br />

(98%) followed by Oriza sativa L. (87%) which are satistically at par with<br />

21


Khan et al.<br />

Sorghum bicolor (L.) Moench (82%), while the lowest was recorded for<br />

Parthenium hysterophorus L. (63.3%). This result indicates that Parthenium<br />

hysterophorus L. has more inhibitory effect on wheat germination. Hence,<br />

the present findings suggested preventing Parthenium infestation around the<br />

crop fields which could be affected by the allelochemicals released by<br />

Parthenium. The studies of Oudhia (2001) and Scrivanti (2010) showed that<br />

extracts of Parthenium are highly inhibitory on the seedling growth of<br />

Andropogon gerardii, Lactuca sativa, maize, Paspalum guenoarum and<br />

Eragrostis curvula. The results are similar to Maharjan et al. (2007) who<br />

have also found leaf extract of Parthenium the most inhibitory to the seed<br />

germination of wheat and other crops. The results are similar to Khan et al.<br />

(201 la) according to which parthenium greatly inhibits the germination (%)<br />

of wheat. Aqueous extract of Parthenium hysterophorus L. extracts<br />

significantly inhibited the Eragrostis tef seed germination due to released of<br />

phytotoxins from Parthenium leaves (Tefera, 2002; Stephen & Sowerby,<br />

1996). Khaliq et al. (2009) reported sunflower water extract has more<br />

inhibitory effects as compared to water extract of Sorghum on the<br />

germination of Cichorium intybus.<br />

Table 1. Impact of the aqueous extract of different plant species on<br />

germination (%) of wheat.<br />

Plant species Germination (%)<br />

Sorghum bicolor (L.) Moench.<br />

Oryza sativa L.<br />

Helianthus annuus L.<br />

Parthenium hysterophorus L.<br />

Sorghum halepense (L.) Pers.<br />

Phragmites australis (Cav) Trin.<br />

Control<br />

82.00 bc<br />

87.33 ab<br />

78.00 bc<br />

63.33 d<br />

80.66 bc<br />

72.00 cd<br />

98.66 a<br />

LSD (0.05) 11.939<br />

Seed vigor index (SVI)<br />

The analysis of variance of the data revealed that plant species<br />

extract had significant effect on the means of the tested wheat (Table 2).<br />

The means of the species demonstrated that the maximum SVI values<br />

22


Influence of plant water extracts on the germination and early seedling growth..<br />

(1331.1) were recorded for the control followed by Oriza sativa L. (902.04)<br />

which are satistically at par with Sorghum bicolor (L.) Moench. (889.69)<br />

and Phragmites australis (Cav) Trin. (835.29), while the lowest SVI<br />

(439.11) was recorded for the Helianthus annuus L. (439.11). These<br />

findings are in line with those of Mubeen et al. (2011) who found a<br />

significantly minimum seedling vigor index (SVI) for rice seeds which were<br />

soaked in the leaf extract of Trianthema portulacastrum. Yasin et al. (2012)<br />

reported that application of extract of Calatropis procera significantly<br />

reduced seedling vigor index (SVI) up to 130 %. Sajjan and Pawar (2005)<br />

reported that Parthenium extract significantly decreased seed vigor index.<br />

The results are greatly analogous to the results of Khan et al. (201 la).<br />

Table 2. Impact of the aqueous extract of different plant species on seed<br />

vigor index (SVI) of wheat seed.<br />

Plant species<br />

Sorghum bicolor (L.) Moench.<br />

Oryza sativa L.<br />

Helianthus annuus L.<br />

Parthenium hysterophorus L.<br />

Sorghum halepense (L.) Pers.<br />

Phragmites australis (Cav) Trin.<br />

Control<br />

Seed vigor index (SVI)<br />

889.69 b<br />

902.04 b<br />

439.11 d<br />

476.73 cd<br />

615.75 cd<br />

835.29 b<br />

1331.1 a<br />

LSD (0.05) 164.45<br />

Shoot length (cm) plant'1<br />

Data in Table 2 revealed that aqueous extract of different plant<br />

species had significant effect on shoot length of seedlings of wheat.<br />

Concentration means showed that maximum shoot length (13.49 cm) was<br />

found in control followed by Phragmites australis (Cav) Trin. (11.58 cm)<br />

which are satistically at par with Sorghum bicolor (L.) Moench (10.84 cm)<br />

and Oryza sativa L. (10.31 cm), while the lowest shoot length were recorded<br />

by Helianthus annuus L. (5.67 cm) and Parthenium hysterophorus L. (7.54).<br />

The leaf extract proved superior against seed inhibition of wheat. Present<br />

findings suggest that the release of allelochemicals in low amounts<br />

stimulates the growth, while the greater amounts results in inhibition of<br />

23


Khan et al.<br />

other plants. Similar results have also been reported by Khan et al. (201 lb).<br />

Our results are also analogous to those presented by Khan et al. (2011c).<br />

Results are similar to that of Tomaszewski & Thimann (1966) who found<br />

that higher concentration of Parthenium greatly reduce the plant growth,<br />

which might be due to inhibition of cell division as allelopathic chemicals<br />

have been found to inhibit gibberellin and indoleacetic acid function. The<br />

results are greatly analogous to Marwat et al. (2008) and similar with the<br />

work of and Uygur and Iskenderoglu (1997) and Cheema et al. (2002) who<br />

reported that different plant extract significantly decrease the shoot length of<br />

horse purslane. Similar results were also reported by Saeed et al. (2011)<br />

where smallest shoot length was recorded in Helianthus annuus L.<br />

treatment. Sorghum water extract significantly reduced shoot length of T.<br />

portulacastrum (Randhawa et al., 2002) and sunflower water extract<br />

(Ashrafi et al., 2008) over control.<br />

Table 3. Impact of the aqueous extract of different plant species on shoot<br />

length (cm) of wheat.<br />

Plant species<br />

Sorghum bicolor (L.) Moench.<br />

Oryza sativa L.<br />

Helianthus annuus L.<br />

Parthenium hysterophorus L.<br />

Sorghum halepense (L.) Pers.<br />

Phragmites australis (Cav)<br />

Trin.<br />

Control<br />

Shoot length (cm)<br />

10.84 b<br />

10.31 b<br />

5.67 d<br />

7.54 c<br />

7.64 c<br />

11.58 b<br />

13.49 a<br />

LSD (0.05) 1.584<br />

Shoot weight (g) plant"1<br />

Data in Table 4 showed the significant effect of aqueous extract of<br />

different plant species on the fresh shoot weight of wheat crop. The data<br />

revealed that maximum shoot weight was recorded for control (157 g)<br />

followed by Oryza sativa L. (111.67 g) and Phragmites australis (Cav)<br />

24


Influence of plant water extracts on the germination and early seedling growth..<br />

Trin. (93.33 g) while the lowest were recorded for Helianthus annuus L. (79<br />

g) and Parthenium hysterophorus L. (82.00 g). The results are similar to<br />

Mahaijan et al. (2007) who found significant allelopathic inhibition of<br />

parthenium plant extracts on shoot growth of wheat and other crop species.<br />

The results are similar to that of Ashrafi et al. (2008) which showed that<br />

sunflower aqueous extract significantly reduced seedling weight of wild<br />

barley.<br />

Table 4. Impact of the aqueous extract of different plant species on fresh<br />

__________________ shoot weight (mg) of wheat__________________<br />

Plant species<br />

Fresh shoot weight (mg)<br />

Sorghum bicolor (L.) Moench.<br />

Oryza sativa L.<br />

Helianthus annuus L.<br />

Parthenium hysterophorus L.<br />

Sorghum halepense (L.) Pers.<br />

Phragmites australis (Cav) Trin.<br />

Control<br />

86.66 c<br />

111.67 b<br />

79.00 cd<br />

82.00 c<br />

84.00 c<br />

93.33 bc<br />

157.0 a<br />

LSD (0.05) 43.675<br />

Conclusions<br />

The conclusions made in light of the results obtained were that<br />

Oriza sativa L. and Sorghum bicolor (L.) Moench have less toxic effect on<br />

wheat seed germination. Hence it is recommended to use it as a bioherbicide<br />

to control weeds in wheat crop. However, Parthenium hyterophorus L. and<br />

Helianthus annuus L. have highly toxic compounds which resulted in the<br />

germination failure or seedling growth retardation in wheat crop. Therefore,<br />

pro-active preventative management of P. hyterophorus L. and H. annuus L.<br />

is direly required in wheat crop. Further study also suggested checking its<br />

allelopathic effect of these plant species on weed of wheat crop.<br />

25


Khan et al.<br />

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MARWAT, K. B., M. A. KHAN, A. NAWAZ AND A. AMIN, 2008: Parthenium<br />

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studies in wheat. Absts. 4th Pakistan Weed Sci. Conf., UAF.<br />

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sorghum water extract on the germination and seedling growth of Trianthema<br />

portulacastrum. Int. J. Agri. Biol. 4(3):383-384.<br />

RASHID, H., M. A. KHAN, A. AMIN, K. NAWAB, N. HUSSAIN AND P. K.<br />

BHOWMIK, 2008: Effect of Parthenium hysterophorus L., root extracts on seed<br />

germination and growth of maize and barley. The Americas J. Plant Sci. Biotech.,<br />

2(2): 51-55.<br />

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RIMANDO, A. M., OLOFSDOTTER, M., S.O. DUKE, 2001: Searching for rice<br />

allelochemicals. Agron. J., 93: 16-20.<br />

SAEED, M., M. ASHFAQ AND B. GUL, 2011: Effect of different allelochemicals on<br />

germination and growth of horse purslane. Pak. J. Bot., 43(4): 2113-2114.<br />

SAJJAN, A. S., AND K. N. PAWAR, 2005: Studies on allelopathic effects of Parthenium<br />

hysterophorus on some crop species. Agric. Sci. Digest., 25 (3): 166-169.<br />

SCRIVANTI, L.R., 2010: Allelopathic potential of Bothriochloa laguroides var. laguroides<br />

(D.C.) Herter (Poaceae: Andropogoneae). Flora 205:302-305.<br />

SEYED, S. F., 2007: Allelophaty effects of wild sorghum on the germination and plantlet<br />

growth of com. Collection of second national conference, weeds of Iran, pp: 257-<br />

261.<br />

STEEL, R. G. D. AND J. H.TORRIE, 1980: Principles and Procedures of Statistics: A<br />

Biometrical Approach. Second ed.McGraw Hill Book Co. Inc. New York, USA.<br />

STEPHEN, W. A AND M. S. SOWERBY, (1996). Allelopathic potential of the weed,<br />

Parthenium hysterophorus L., in Asutralia. Plant Protec., 11: 20-23.<br />

TEFERA, T. 2002: Allelopathic effects of Parthenium hysterophorus extracts on seed<br />

germination and seedling growth of Eragrostis tef. J. Agron. & Crop Sci., 188:<br />

306-310.<br />

TOMASZEWSKI, M. AND K. V. THIMANN, 1966: Interactions of phenolic acids,<br />

metallic ions and chelating agents on auxin induced growth. Plant Physio., 41:<br />

1443-1454.<br />

UYGUR, F. N. AND N. ISKENDEROGLU, 1997: Allelopathic and bioherbicide effects of<br />

plant extracts on germination of some weed species. Turkish J. Agric. Forestry,<br />

21: 177-180.<br />

WARDLE, D. A., M. AHMAD, AND K. S. NICHOLSON, 1991: Allelopathic influence of<br />

nodding thistle (Cardus nutans L.) seed on germination and radicle growth of<br />

pasture plants. New Zealand J. Agri. Res., 34:185-191.<br />

YASIN, M., M. E. SAFDAR, Z. IQBAL, A. ALI, K. JABRAN AND A. TANVEER, 2012:<br />

Phytotoxic effects of calotropis procera extract on germination and seedling vigor<br />

of wheat. Pak. J. Weed Sci. Res., 18(3): 379-392.<br />

27


Khan et al.<br />

28


Herbologia, Vol. 13, No. 2, 2012<br />

IMPACT OF TILLAGE SYSTEMS AND HERBICIDES ON WEEDS<br />

AND SOYBEAN YIELD<br />

Mira Knežević1, Renata Baličević1, Marija Ravlić1, Jelena Ravlić2<br />

'Faculty of Agriculture, J J. Strossmayer University in Osijek<br />

Kralja Petra Svačića Id, 31000 Osijek, Croatia<br />

2Koranska 18, 31000 Osijek, Croatia e-mail: Mira.Knezevic@pfos.hr<br />

Abstract<br />

Field experiments (2009-2010) were carried out in soybean on<br />

lessive pseudogley soil in north-eastern Croatia to evaluate the impact of<br />

three continuous tillage systems (conventional with mouldboard ploughing,<br />

chisel ploughing, disk harrowing) and chemical weed control through split<br />

application of post-emergence herbicides at reduced rates alone or in<br />

combinations, on weed density, fresh weed biomass and crop yield. Total<br />

weed density in untreated plots was significantly influenced by tillage and it<br />

was the highest in disk-harrowing (202.0 plants m'2), medium in chisel<br />

ploughing (126.5 plants m'2) and the lowest in mouldboard ploughing<br />

(109.3 plants m'2). In comparison with conventional tillage, chisel<br />

ploughing and disk harrowing increased weed number on average by 15%<br />

and 85%, respectively, after only two years of experiment. The main weeds<br />

were annual species of Echinochloa crus-galli (L.) PB., Ambrosia<br />

artemisiifolia L., Chenopodium album L., and Polygonum lapathifolium L.<br />

with a share of 89% and 83% of the total weed population and biomass,<br />

respectively. The efficacy of herbicide treatments in the control of main<br />

weeds did not vary significantly between tillage treatments. The best and<br />

equal total weed biomass reduction of 96% was provided by both herbicide<br />

combinations of imazamox 24 g + oxasulfuron 50 g plus thifensulfuronmethyl<br />

6 g a. i. ha'1 and of oxasulfuron 60 g + oxasulfuron 60 g plus<br />

thifensulfuron-methyl 4 g a. i. ha'1, whereas the treatment with imazamox<br />

24 g + 24 g a. i. ha'1reduced the weed biomass by 93%. Weed control had<br />

no impact on soybean yields that were significantly affected by year and<br />

tillage. Compared to the highest yield with mouldboard ploughing (4183 kg<br />

ha"1), the average percent yield decreases with chisel ploughing and disk<br />

harrowing were 6% and 14%, respectively.<br />

Keywords: soybean, tillage systems, imazamox, oxasulfuron, thifensulfuron-methyl, weed<br />

density, weed biomass, crop yield


Knežević et al.<br />

Introduction<br />

In recent years, the soybean production has expanded in Croatia with<br />

a growing area of about 56,000 hectares and with a tendency toward further<br />

growth (FAOSTAT, 2010). Small family farms play an important role in<br />

soybean production with a share of 45% of the total area under soybean in<br />

Croatia (Vratarić & Sudarić, 2008). Tillage practices for soybean in northeastern<br />

Croatia are mainly conventional, based on mouldboard ploughing at<br />

30-35 cm depth in autumn then harrowing and seedbed preparation in the<br />

spring.<br />

As has been confirmed by numerous studies, conventional systems<br />

based on deep tillage are becoming less rational because of economic and<br />

environmental reasons. In recent years there has been a tendency in Croatia<br />

towards less intensive systems of tillage such as reduced, minimum or non<br />

tillage (Butorac et al., 1986; Žugec et al., 1995; Košutić et al., 2006; Jug et<br />

al., 2006; Jukić et al., 2011). Several authors have reported that<br />

conservation tillage systems lead to changes in the species composition and<br />

abundance of weed species in cropping systems (Blackshaw et al., 1994;<br />

Tuesca et al., 2001; Legere & Samson, 2004; Thomas et al., 2004) Weed<br />

population shifts with reduced tillage were observed in an increase in annual<br />

grasses, perennial weeds and wind-dispersed species (Torresen et al., 2003).<br />

Because of that, one of the main concerns with the adaption of conservation<br />

tillage practices are potential weed management problems. Weed control<br />

programs developed under conventional tillage systems are seldom<br />

appropriate for systems of conservation tillage using either reduced or notill<br />

tillage. One of the essential prerequisites to the success of conservation<br />

tillage is the development of an effective and economically successful weed<br />

control program adapted to such tillage practices. Weed control efficacy of<br />

herbicides in conservation tillage can also be affected by the presence of<br />

residue mulch material (Banks & Robinson, 1982) and is dependent on the<br />

mechanism of action of the herbicides. Previous studies of weed control in<br />

soybean in Croatian conditions using conventional tillage system showed<br />

consistent weed control with the application of a large number of pre- and<br />

post- emergence herbicides with their correct choice in terms of weed<br />

spectrum, weed growth stage and weed size (Skender et al., 1991; Barić et<br />

al., 1998; Barić & Ostojić, 2000; Bilandžić et al., 2003; Knežević et al.,<br />

2008, 2009). Long-term studies of weed population and their dynamics in<br />

soybean provide a way to access the impact of conservation tillage systems<br />

on weeds and apply appropriate weed management.<br />

The objective of this study was to determine the impact of some<br />

reduced tillage systems and current post-emergence herbicide combinations<br />

in split application, particularly with lower than recommended rates, on<br />

30


Impact of tillage sxstems and herbicides on weeds and soybean yield<br />

weed density, fresh weed biomass and soybean yield in north-eastern<br />

Croatia.<br />

Materials and methods<br />

The field trials on soybean (cv. Dora ) were carried out on lessive<br />

pseudogley soil at Zdenci locality in north-eastern Croatia, in 2009 and<br />

2010. The previous crop in both years was winter wheat. The experimental<br />

design was randomised complete block with tillage as the main factor and<br />

chemical weed control as the sub-factor with four replications. The main<br />

plot size was 400 m2 (10 x 40 m). The subplot size was 20 m2 (2.25 x 9 m).<br />

The three tillage treatments were: 1. CT - conventional tillage with<br />

mouldboard plough at 30 - 35 cm depth and once disk harrowing in autumn;<br />

2. CP - loosening with chisel plough at 15-20 cm depth; 3. DH - disk<br />

harrowing two times at 8-10 cm depth. All tillage treatments included<br />

harrowing and seedbed preparation in the spring. The pre-sowing<br />

fertilisation was applied using 350 kg NPK (10:20:30). Soybean was sown<br />

in the first and third decade of April in 2009 and 2010, respectively, with<br />

the inter-row spacing of 45 cm, and at the depth of 4 to 6 cm. The two top<br />

dressings of the crop were performed at the first trifoliate growth stage (100<br />

kg/ha of KAN and before the beginning of the flowering (100 kg/ha of<br />

KAN). No inter-row cultivation was performed on crop. Weather conditions<br />

during the soybean growing season (April, September) are presented in<br />

Table 1.<br />

Table 1. Weather conditions during soybean growing seasons<br />

April May June July August September Total/<br />

Year/Month<br />

Mean<br />

2009 p* 25 94 84 28 37 43 311<br />

rp* 14.6 18.3 19.7 23.0 22.9 19.3 19.6<br />

2010 P 70 183 239 47 59 198 796<br />

T 11.9 16.7 20.0 23.2 21.6 15.5 18.2<br />

1997-<br />

2008<br />

P 66 69 98 77 85 101 496<br />

T 11.7 17.2 20.7 22.0 21.4 16.1 18.2<br />

P* precipitation (mm), T* - temperatures °C<br />

Chemical weed control included the following post-emergence<br />

herbicide treatments: 1. imazamox (Pulsar 40) 24 g + 24 g a. i. ha"1; 2.<br />

imazamox 24 g + oxasulfiiron (Laguna) 50 g plus thifensulfuron-methyl<br />

31


Knezevic et al.<br />

(Harmony 75) 6 g a.i ha'1; 3. oxasulfuron 60 g + oxasulfuron 60 g plus<br />

thifensulfuron-methyl 4 g a.i. ha'1. All herbicides were applied with an<br />

addition 0.2 L ha'1 of the surfactant Trend 90 EC. The herbicides were<br />

applied first time when the annual grass weeds were mainly at the 1 -2 leaf<br />

stage, and broad-leaved weeds were at the 2-4 leaf stage, whereas soybean<br />

crop was at the first to three trifoliate stages (V1-V3). Regarding herbicide<br />

combinations, the second application was conducted about 7-14 days after<br />

the initial application. Herbicides were applied at a water volume equivalent<br />

to 200 L ha 1 by a flat-fan nozzle using a Solo knapsack sprayer at a<br />

pressure of 300 kPa.<br />

Weed samples were collected by counting plant numbers of each<br />

weed species in a 0.25 m2, replicated 16 times per plot and fresh biomass of<br />

weeds was immediately weighted. An actual weed infestation was performed<br />

first time before the post-emergence chemical control, then 14 days after the<br />

final herbicide application, and again one month after the initial application.<br />

Weeds on untreated control plots were pulled out at the beginning of the<br />

soybean flowering (Rl). Weed control was expressed as percentage of<br />

reduction in fresh weed biomass compared to the untreated control. Soybean<br />

was mechanically harvested and grain yield was recorded and adjusted to<br />

13% of the moisture content.<br />

The data on plant density and fresh biomass of certain weed groups,<br />

as well as the crop yield, were subjected to an analysis of variance and<br />

tested by F-test (Fisher’s Protected LSD test), using Microsoft Excel and<br />

Statgraf programme. For the analysis of variance, the main factor was the<br />

year, tillage treatments were used as the sub-factor and weed control<br />

treatments as the sub-sub-factor.<br />

Results and discussion<br />

A total of 9 and 11 weed species were identified in the spring<br />

assessment in 2009 and 2010, respectively. Annual broad-leaved species<br />

dominated the weed flora in all tillage systems with 8 species compared to<br />

two perennials and one grass species. The main weeds were Echinochloa<br />

crus-galli (L.) PB., Ambrosia artemisiifolia L., Chenopodium album L. and<br />

Polygonum lapathifolium L. These weeds were present in both seasons with<br />

more than 5 plants per m and a share of 89% and 83% in the total weed<br />

density and biomass, respectively. The density and biomass of certain weed<br />

groups varied among year and tillage systems (Fig. 1,2).<br />

32


Impact of tillage systems and herbicides on weeds and soybean yield<br />

The 2010 growing season was favourable for weed germination due<br />

to high precipitation (Table 1), so that in that year a greater weed density<br />

and biomass occurred compared to the preceding year. In the wet season,<br />

the main weeds of E. crus-galli (140 shoots m" ), A. artemisiifolia (51 plants<br />

m ") and P. lapathifolium (11.7 plants m ") increased their populations by<br />

122%, 112% and 41%, respectively. On the contrary, in 2010 C. album<br />

developed a reduced population number of 7.3 plants m"2 compared to 9.1<br />

plants m'2 in 2009, as has been previously reported by Knežević et al.<br />

(2009).<br />

In relation to tillage, the significantly highest total weed density was<br />

found in DH tillage (202.0 plants m' ), whereas the lowest one was found in<br />

CT tillage system (109.3 plants m'), on average. Weed density in CP tillage<br />

/j<br />

showed intermediate values between CT and DH systems (126.5 plants m' ).<br />

In comparison with CT, reduced CP and DH tillage treatments increased<br />

weed density on average by 15% and 85%, respectively, after only two<br />

years of experiment. No significant differences in weed density and biomass<br />

were observed between the CT and CP treatments. Tillage effects on density<br />

and biomass of weed groups were significant only for the DH treatment.<br />

These results concur with our earlier findings in maize and winter wheat<br />

crops (Knežević et al., 2003a, 2003b, 2003c) and also with other studies<br />

(Blackshaw et al., 1994; Mulugeta et al., 2001; Legere & Samson, 2004)<br />

that reported greater weed densities under reduced tillage than under CT<br />

tillage system. In our experiment, E. crus-galli density and biomass was<br />

greater with disk harrowing than with chisel ploughing and the lowest<br />

values were achieved under mouldboard ploughing. Perron & Legere (2000)<br />

found that in soybean for Canadian conditions a greater E. crus-galli density<br />

and biomass was obtained with chisel ploughing than with mouldboard<br />

ploughing under mechanical weed control. Tripleurospermum inodorum<br />

(L.) C.H. Schultz was an important species in both reduced CP and DH<br />

tillage treatments with 4.0 and 9.2 plants m'2, respectively, while it was<br />

absent in the CT tillage. The only perennial species present in our study<br />

were Cirsium arvense (L.) Scop, and Convolvulus arvensis L. in relatively<br />

low densities and biomass (Fig 1, 2).<br />

The herbicide efficacy, measured as a relative reduction in weed<br />

fresh biomass compared to the untreated plots, differed by year but not by<br />

tillage systems. The overall efficiency of herbicides was greater in 2010<br />

33


Knezevié et al<br />

(96.7%) than in 2009 (94.6%), probably because of environmental<br />

conditions. In the wet season of 2010 weed control efficacy was high<br />

because a large number of weeds emerged early in the season. On the<br />

contrary, in the unfavourable 2009, which was associated with hot, dry<br />

conditions, the emerging of weeds was uneven and extended to late in May<br />

and June after heavy precipitation. However, the weeds that emerged after<br />

herbicide application were small in size and did not affect the crop yield.<br />

All herbicide treatments provided good or excellent biomass<br />

reduction of E. crus-galli by 96%, 94% and 93% in 2009 and 98%, 96% and<br />

95% in 2010 in CT, CP and DH tillage systems, respectively. In addition,<br />

herbicide treatments ensured a good biomass reduction of broad-leaved<br />

weeds in all tillage treatments that ranged from 92% to 95% in 2009 and<br />

from 96% to 97% in 2010. However, herbicides were ineffective against<br />

perennial weeds (Fig. 3)<br />

Means followed by the same letter within certain weed groups are not statistically different at P < 0.05.<br />

Fig. 1. Weed density of certain weed groups on untreated soybean plots as affected<br />

by tillage systems<br />

34


Impact of tillage systems and herbicides on weeds and soybean yield<br />

Means followed by the same letter within certain weed groups are not statistically different at P < 0.05.<br />

Fig. 2. Weed biomass of certain weed groups on untreated soybean plots as<br />

affected by tillage systems<br />

In a two-year average, the herbicide combinations of imazamox +<br />

oxasulfuron plus thifensulfuron-methyl (96.8%) and of oxasulfuron +<br />

oxasulfuron plus thifensulfuron-methyl (96.6%) in split application at<br />

reduced rates were more effective in biomass control of weeds than the<br />

treatment with imazamox (93.4%).<br />

The lowest but still satisfactory biomass control was achieved in<br />

2009 in the same treatment with imazamox (1) against A. artemisiifolia and<br />

C. album (88%), but without affecting the crop yield. When imazamox was<br />

applied in combination with oxasulfuron plus thifensulfuron-methyl mixture<br />

(2), it increased A. artemisiifolia and C. album control to 92% -97% and to<br />

98% -100%, respectively. There have been several studies reporting postemergence<br />

weed control by imazamox as one of the imidazolinone<br />

herbicide used for broad-spectrum in soybean and other crops. Nelson &<br />

35


Knežević et al.<br />

Renner (1998) found good C. album biomass control of 88-90% with<br />

imazamox at 45 g ha"1 in soybean. In addition, our previous studies have<br />

indicated that imazamox provided 86-91% control of C. album at the<br />

recommended rate of 40 g ha'1, applied single (Knežević et al., 2008).<br />

Ballard & Hellmer (1995) improved A. artemisiifolia and C. album control<br />

with imazamox at 45 compared to 35 g a. i. ha'1. The results of Šćepanović<br />

et al. (2008) have shown that imazamox at 40 g ha"1reduced the C. album<br />

biomass to 64%-90%, depending on location.<br />

M ouldboard ploughing Chisel ploughing Disk harrowing<br />

1. imazamox 24 + 24 g a.i. ha'1<br />

2. imazamox 24 + oxasulfiiron 50 plus thifensulfuron-methyl 6 g a.i. ha'1<br />

3. oxasulfuron 60 + oxasulfiiron 60 plus thifensulfuron-methyl 4 g a.i. ha'1<br />

Fig. 3. Efficacy of post-emergence herbicide treatments on biomass<br />

reduction of certain weed groups in the three tillage systems<br />

Soybean yields were significantly influenced by the year and tillage<br />

treatment (Table 2). Average yields were significantly higher in 2010 (4362<br />

kg ha'1) than in 2009 (3455 kg ha'1). The unfavourable weather conditions in<br />

2009 with a spring and the summer drought resulted in a reduction of crop<br />

yields by 21% across tillage treatments, compared to 2010. The lowest yield<br />

was found in DH tillage where the decrease in the yield was 14% compared<br />

to the CT tillage (3662 kg ha'1). No significant differences were observed in<br />

yields between CT and CP tillage treatments in the first year of experiment.<br />

36


Impact of tillage systems and herbicides on weeds and soybean yield<br />

In 2010, the highest yield was obtained in CT (4703 kg ha'1), the lower in<br />

CP (4336 kg ha'1) and the lowest in DH (4047 kg ha'1) with significant<br />

differences between three tillage treatments.<br />

Table 2. Grain yield (kg ha'1) of soybean as affected by tillage and<br />

herbicides during two growing seasons<br />

Year<br />

Herbicide<br />

Tillage treatments<br />

Mean for<br />

treatments<br />

Mouldboard<br />

Chisel<br />

Disk<br />

herbicides<br />

ploughing<br />

ploughing<br />

harrowing<br />

2009 1 3475 a 3608 a 3150 a 3501 a<br />

2 3573 a 3557 a 3223 a 3451 a<br />

3 3669 a 3499 a 3074 a 3414 a<br />

Mean 3662 a 3555a 3148 b<br />

2010 1 4683 a 4304 a 4018 a 4335 a<br />

2 4777 a 4495 a 3945 a 4406 a<br />

3 4650 a 4207 a 4178 a 4345 a<br />

Mean 4703 a 4336 b 4047 c<br />

2009-<br />

2010<br />

1 4214 a 3956 a 3584 a 3918 a<br />

2 4175 a 4026 a 3584 a 3928 a<br />

3 4159 a 3853 a 3626 a 3880 a<br />

Mean for tillage 4183 a 3945 b 3598 c<br />

The means followed by the same letter are not significantly different<br />

LSD (P


Knežević et al.<br />

program in reduced tillage systems as in the conventional tillage without<br />

increasing the herbicide use. However, since these conclusions apply only to<br />

the early years of these reduced tillage systems, further research is needed to<br />

test them in additional years and report a potential build-up of perennial<br />

weeds, expected to occur over time.<br />

Acknowledgements This work was supported by the Croatian Ministry of Science,<br />

Education and Sports ("Integrated arable crop protection from weeds"- 079-0790570-2716).<br />

References<br />

BARIĆ, K., D. TOPOLOVEC, Z. OSTOJIĆ, 1998: Zaštita soje od korova. Glasnik zaštite<br />

bilja 5,227 -289.<br />

BARIĆ, K., Z. OSTOJIĆ, 2000: Mogućnosti suzbijanja korova u soji. Agronomski glasnik<br />

1,2:71-84.<br />

BILANDŽIĆ, M., A. SUDARIĆ, T. DUVNJAK, A. MIJIĆ, 2003: Učinkovitost različitih<br />

načina suzbijanja korova u soji. Fragmenta phytomedica et herbologica 28, 33 -<br />

40.<br />

BALLARD, T.O., M. HELLMER 1995: AC 299,263: Efficacy in soybeans as influenced<br />

by postemergence timing. Proc. N. Cent. Weed Sci. Soc. 50: 132-133.<br />

BANKS, P. A., E. L. ROBINSON, 1982: The influence of straw mulch on the soil<br />

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BLACKSHAW, R.E., F.O. LARNEY, C.W. LINDWALL, G.C. KOZUB, 1994: Crop<br />

rotation and tillage effects on weed populations on the semi-arid Canadian prairies.<br />

Weed Technology 8,231-237.<br />

BUTORAC, A., I. ŽUGEC, F. BAŠIĆ, 1986: State and perspective of reduced tillage in<br />

world and in our country. Poljoprivredne aktuelnosti, 25: 159-262. (In Croatian)<br />

JUG, D„ B. STIPEŠEVIĆ, I. ŽUGEC, D. HORVAT, M. JOSIPOVIĆ, 2006: Reduced soil<br />

tillage systems for crop rotations improving nutritional value of grain crops.<br />

Cereal Res. Comm., 34: 521-524.<br />

JUKIĆ, G., Z. MIJIĆ, K. SUNJIĆ, I. VARNICA, M. HAVELKA, R. TEODOROVIĆ, G.<br />

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International scientific/professional Conference Agriculture and Environment<br />

protection, Vukovar, 1-3. June. 2011, 69 -73.<br />

KNEŽEVIĆ, M., M. ANTUNOVIĆ, LJ. RANOGAJEC, R. BALIČEVIĆ, 2008:<br />

Effectiveness of post-emergence herbicides in soybean. Poljoprivreda 14 (2), 23-<br />

28.<br />

KNEŽEVIĆ, M., M. ANTUNOVIĆ, R. BALIČEVIĆ, LJ. RANOGAJEC, 2009: Efficacy<br />

of some herbicides for pre-and post-emergence weed control in soybean.<br />

Herbologia. 10, No 2, 65-74.<br />

KNEŽEVIĆ, M., M. ĐURKIĆ, I. KNEŽEVIĆ, Z. LONČARIĆ, 2003a: Effects of pre- and<br />

post-emergence weed control on weed population and maize yield in different<br />

tillage systems. Plant Soil Environ., 49 (5), 223-228.<br />

KNEŽEVIĆ, M., M. ĐURKIĆ, I. KNEŽEVIĆ, O. ANTONIĆ, S. JELASKA, 2003b:<br />

Effects of soil tillage and post-emergence weed control on weed biomass and<br />

maize yield. Cereal Res. Comm.. 31, Nos. 1-2,177-184.<br />

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Impact of tillage systems and herbicides on weeds and soybean yield<br />

KNEŽEVIĆ, M., M. ĐURKIĆ, I. KNEŽEVIĆ, O. ANTONIĆ, S. JELASKA, 2003c:<br />

Effects of tillage and reduced herbicide doses on weed biomass production in<br />

winter and spring cereals. Plant Soil Environ., 49 (9): 414-421.<br />

KOŠUTIĆ, S., D. FILIPOVIĆ, R. ZIMMER, S. HUSNJAK, I. KOVAČEV, 2006:<br />

Usporedba različitih sustava obrade tla u proizvodnji soje i ozime pšenice u<br />

Slavoniji. Agronomski glasnik 5, 381-392.<br />

LÉGÈRE A., N. SAMSON, 2004: Tillage and weed management effects on weeds in<br />

barley-red clover cropping systems. Weed Science 52, 881-885.<br />

MULUGETA, D., STOLTENBERG, D. E. BOERBOOM, C. M. 2001: Weed species-area<br />

relationships as influence by tillage. Weed Science 49,217-223.<br />

NELSON, K. A., K. A RENNER, 1998: Weed control in Wide-and Narrow-Row Soybean<br />

(Glycine max) with Imazamox, Imazethapyr, and CGA-277476 plus Quizalofop.<br />

Weed Technology 12 (1): 137-144.<br />

PERRON, F., A. LEGERE, 2000: Effects of crop management practices on Echinochloa<br />

crus galli and Chenopodium album seed production in maize/soybean rotation.<br />

Weed Research 40, 535-547.<br />

SKENDER, A., M. VRATARIĆ, M. BILANDŽIĆ, 1991: Utjecaj različitih klimatskih<br />

činilaca na zakorovljenost i djelotvornost herbicida i prinos soje. Znanost i praksa<br />

u poljoprivredi i prehrambenoj tehnologiji 21, 51 - 60.<br />

ŠĆEPANOVIĆ, M., Z. OSTOJIĆ, N. GALZINA, M. GORŠIĆ, S. HAVRDA, 2008: Site<br />

specific post-emergence weed control in soybean. Cereal Res. Comm. 36, 1639-<br />

1642.<br />

TUESCA, D., E. PURICELLI, J.C. PAPA, 2001: A long-term study of weed flora shifts in<br />

different tillage systems. Weed Research, 41 369-382.<br />

THOMAS, A.G., D. A. DERKSEN, R. E. BLACKSHAW, 2004: A multi study approach to<br />

understanding weed population shifts in medium- to long-term tillage systems.<br />

Weed Science 52, 874-880.<br />

T0RRESEN, K. S. R. SKUTERUD, H. J. TANDSÆTHER, M.B. HAGEMO, 2003: Longterm<br />

experiments with reduced tillage in spring cereals. I. Effects on weed flora,<br />

weed seedbank and grain yield. Crop Protection 22,185 - 200.<br />

VRATARIĆ, M., A. SUDARIĆ, 2008: Soja (Glycine max (L.) Merr.) Poljoprivredni<br />

institut Osijek, 460.<br />

ŽUGEC, I., I. JURIĆ, M. JOSIPOVIĆ 1995: Neke mogućnosti reduciranja obrade tla u<br />

uzgoju soje na području istočne Hrvatske. Poljoprivreda, 1,105-114.<br />

39


Knežević et al.<br />

40


Herbologia, Vol. 13, No. 2, 2012<br />

WEED FLORA UNDER ORGANIC MAIZE PRODUCTION<br />

CONDITIONS<br />

Ljiljana Nikolic1, Dragana Latkovic1, Janos Berenji2, Vladimir Sikora2<br />

'Faculty of Agriculture, University of Novi Sad, Serbia<br />

institute of Field and Vegetable Crops, Novi Sad, Serbia<br />

e.mail: linik@t>oli.uns.ac.rs. dragana@.poli.uns.ac.rs.<br />

berenii@.eunet.rs. vladimir.sikora@nsseme.com<br />

Abstract<br />

The paper presents taxonomic and biological analysis of weeds<br />

found in maize grown according to the organic farming principles during the<br />

period 2011-2012 on the experimental field of the Institute of Field and<br />

Vegetable Crops, Novi Sad, at the Backi Petrovac locality. The presence of<br />

19 species of weed plants, grouped in 18 genera and 13 families, was<br />

established. The weed flora was dominated by representatives from the<br />

Magnoliopsida class (dicots, broadleaf weeds), with 18 identified species,<br />

whereas Liliopsida class (monocots, narrow-leaved weeds) was represented<br />

by a single species. Among the identified weeds, the most abundant were<br />

Datura stramonium L., Chenopodium album L., Chenopodium hybridum L.,<br />

Solanum nigrum L., Polygonum lapathifolium L., Amaranthus retroflexus L.<br />

and Convolvulus arvensis L. According to the classification by habitat,<br />

weed-ruderal plants predominate (73.7%), whereas in the biological<br />

spectrum, terophytes were most abundant, with the same percentage<br />

participation (73.7%). Most of the identified weeds are characterized by a<br />

long flowering period, allowing them, in the absence of control measures, to<br />

successfully complete the vegetative cycle and form seeds in the maize<br />

crop. Understanding the weed biological characteristics is the main<br />

prerequisite for successful implementation of integrated weed suppression<br />

and control methods in organic crop production.<br />

Keywords: weed flora, maize, organic production.<br />

Introduction<br />

In the recent years, there has been a marked increase in the attention<br />

devoted to organic farming, which contributes to the conservation of<br />

biological diversity (Diver, 2001; Barberi, 2002; Kristiansen, 2003;<br />

Malesevic et al., 2010; Nikolic et al., 2011,). Within agroecosystems, weeds


Nikolic et al.<br />

hold a prominent place, as this is a specific group of plants that, on the one<br />

hand, contributes to their floristic diversity, but on the other hand, from an<br />

agronomic perspective, is an undesirable crop companion, causing many<br />

adverse effects that can affect the yield and product quality (Kojic and<br />

Janjic, 1994, Zaragoza et al., 2012).<br />

In conventional farming, weed suppression and control is typically<br />

achieved through herbicide application. However, one of the basic<br />

principles of organic agriculture is exclusion of herbicides in the effort to<br />

combat weed proliferation, and attempting to establish an optimal<br />

relationship between weeds and crops by other means. Thus, in recent years,<br />

many efforts have been invested in studying the allelopathic interactions<br />

between weeds and crops (Economou et al. 2006; Iqbal et al. 2003; Sang-<br />

Uk Chon et al. 2005; Iman et al. 2006; Janjic et al., 2008; Marinov-<br />

Serafimov, 2010), the results of which could find implementation in the<br />

future organic agricultural production systems. However, in the actual<br />

organic production systems, mechanical or manual removal of weeds from<br />

crops is most commonly used, whereby timely action requires knowledge of<br />

their biological characteristics.<br />

It is necessary to ascertain and monitor the status of the weed flora in<br />

the crops in order to anticipate the necessary measures that can reduce the<br />

weed populations to tolerable levels. Within these studies, special attention<br />

is paid to the understanding of the floristic composition and biological<br />

characteristics, such as flowering/fruiting, species background and life form,<br />

etc., which is an important prerequisite for the prediction and proposal of<br />

weed proliferation control measures (Kovacevic, 2008; Kovacevic et al.,<br />

2009; Ilic et al., 2009; Nikolic et al. 2009, 2012; Zaragoza et al., 2012).<br />

The goal of this work is the taxonomic and biological analysis of<br />

weeds in maize crops grown according to the organic agriculture principles.<br />

Our results will expand the current understanding of the composition of the<br />

weed flora and their biological properties as a main precondition for taking<br />

appropriate and timely measures for weed suppression and control in order<br />

to achieve levels that can be tolerated by maize crops. The aim is to obtain<br />

safe food and ensure sustainable agricultural development, taking into<br />

account the principles of environmental and biodiversity protection.<br />

Material and methods<br />

Our studies of weed flora in maize crops grown according to the<br />

organic agriculture principles were undertaken during the 2011-2012 period,<br />

at the experimental field of the Institute of Field and Vegetable Crops, Novi<br />

Sad, Department of Organic agriculture and biodiversity in Backi Petrovac.<br />

Weed identification and collection in the field was conducted in two stages -<br />

42


Weed flora under organic maize production conditions<br />

in Phase 3 to 4, and later in Phase 7 to 8 of fully developed maze leaf. In<br />

the studied area, the following maze hybrids were cultivated according to<br />

organic principles: ZP 555su - FAO of the ripening group 500, NS 611k,<br />

NS 6030 and NS 609b FAO of the ripening group 600.<br />

The experiment was conducted on chernozem soil type,<br />

characterized by loess and loess-like sediments, which was calcareous<br />

gleyed and of medium depth (Škorić et al., 1985).<br />

Prior to planting maize, soya was grown on the study area and the<br />

plots were subjected to mechanical means of weed control only. More<br />

specifically, row cultivation and hand hoeing was performed on two<br />

occasions. However, these agrotechnical practices were implemented after<br />

floristic recording of weed vegetation.<br />

Plant material was identified according to the previous work by<br />

Josifović (1970-1986) and Tutin (1960-1980). Life forms were determined<br />

in line with Ujvarosi (1973), categorization by habitat was based on Kojić et<br />

al. (1972), and flowering time was established according to Čanak et al.<br />

(1978) and Josifović (1970-1986). Grouping by higher taxonomic categories<br />

was performed in line with Takhtajan (1997).<br />

Results and discussion<br />

Based on the taxonomic analysis of weed flora in maize crops<br />

cultivated according to the organic farming principles, the presence of 19<br />

species of vascular macrophytes grouped in 18 genera and 13 families was<br />

ascertained. The results indicate that the weed flora of the study area is<br />

dominated by representatives of the Magnoliopsida class (dicotile, broadleaf<br />

weeds) with 18 species, while the Liliopsida class (monocotile, narrowleaved<br />

weeds) was represented by only one species, Sorghum halepense (L.)<br />

Pers. (Tab.l).<br />

The identified weed flora is comprised of species characteristic for<br />

maze crops grown in Vojvodina (Kojić et al., 1972), amongst which Datura<br />

stramonium L., Chenopodium album L., Chenopodium hybridum L.,<br />

Solanum nigrum L., followed by Polygonum lapathifolium L., Amaranthus<br />

retroflexus L. and Convolvulus arvensis L., Eire the most abundant.<br />

According to the established list of invasive plants for the Vojvodina<br />

region (http://iasv.dbe.pmf.uns.ac.rs/index.php?strana=baza'). five weed<br />

species (26.3%) - Amaranthus retroflexus L., Portulaca oleracea L., Datura<br />

stramonium L., Sorghum halepense L. and Ambrosia artemisiifolia L. -<br />

belong to the invasive plant category, the number and proliferation of which<br />

must be monitored, due to their potential negative effect on the given<br />

agroecosystem, as well as the biodiversity in general (Vrbničanin et al.,<br />

2004; Stojanović et al., 2009). Lešnik (2012) states that, in Slovenia,<br />

43


Nikolic et al.<br />

significant number of invasive species grow amongst maize crops, owing to<br />

their plasticity, reproductive strength, significant competence, as well as use<br />

of herbicides. Based on the European list of invasive Magnoliophyta species<br />

('www.europe-aliens.org'). we highlight that all the species «identified in the<br />

studied maize crop are invasive for the European region. This should not be<br />

overlooked when attempting to eradicate them and prevent their expansion<br />

beyond these cultivated plots, as the problem of invasiveness is increasingly<br />

apparent at the global level (Ziska et al., 2010).<br />

Table 1. Taxonomic review of the weed with life forms,<br />

categorization according to site and time of flowering<br />

Life Category Time of<br />

Class Family Genus Plant species for accordin floweri<br />

m g t0 site ng<br />

Fabaceae Lathyrus L. tuberosus L. Gi wr VI<br />

Euphorbiace<br />

ae<br />

Euphorbia<br />

E. cyparissias<br />

L.<br />

g 3 wr IV-VII<br />

Brassicaceae Sinapis S. arvensis L. t 3 s V-IX<br />

Malvaceae Hibiscus H. trionum L. t 4 s VI-VIII<br />

Chenopodiac<br />

eae<br />

Chenopod<br />

ium<br />

C. album L. t 4 wr VI-XI<br />

cS<br />

3"m<br />

P h<br />

O<br />

”3 GÜ0<br />

Amaranthace<br />

ae<br />

Amaranth<br />

us<br />

C. hybridum L. t 4 wr V-VIII<br />

A. retroflexus<br />

L.<br />

t 4 wr VI-IX<br />

c3<br />

S<br />

Polygonacea<br />

e<br />

Bilderdyki<br />

a<br />

B. convolvulus<br />

(L.) Dum.<br />

t 4 wr VI-IX<br />

Polygonu<br />

m<br />

P.<br />

lapathifolium<br />

t 4 wr VI-IX<br />

Convolvulac Convolvul C. arvensis L. G3 wr VI-IX<br />

44


Weed flora under organic maize production conditions<br />

eae<br />

Portulacacea<br />

e<br />

us<br />

Portulaca P. oleracea L. t 4 wr VI-VIII<br />

Solanaceae Datura D. stramonium t 4 wr VI-IX<br />

Solanum S. nigrum L. t 4 wr VI-X<br />

Lamiaceae Stachys S. annua L. t 4 s VI-X<br />

Asteraceae Ambrosia A.artemisiifoli T4 r VIII-IX<br />

a L.<br />

Cirsium C. arvense (L.) g 3 wr VI-VIII<br />

Scop.<br />

Senecio S. vulgaris L. Ti wr III-XI<br />

Sonchus S. oleráceos T4 wr VI-X<br />

(L.) Gou.<br />

Liliop<br />

sida<br />

Poaceae<br />

Sorghum<br />

S. halepense<br />

(L.)Pers.<br />

Gi s VI<br />

E 13 18 19<br />

Legend: T- terophyta, G - geophyta, r - ruderal species, wr - weed-ruderal<br />

species, S - segetal weeds.<br />

At the studied site, most of the weed species (14; 73.7%) can be<br />

categorized as weed-ruderal plants, with only one (6.3%), Ambrosia<br />

artemisiifolia L., found in a small number, belonging to ruderal plants. Four<br />

(25%) segetal weeds - Hibiscus trionum L., Sinapis arvensis L., Stachys<br />

annua L. and Sorghum halepense L.- are also present at the site.<br />

The biological spectrum of the identified flora is of terophyticgeophytic<br />

character, dominated by terophytes (14; 73.7%)—SI. 1. Within<br />

this group, T4 terophytes, annual plants that germinate in the spring, and<br />

produce ripe seeds in the summer, comprise 63.1% (12 species) of the total<br />

45


Nikolid et al<br />

population. Terophytes Ti and T3 are represented by only one species each<br />

(5.2% of the total, respectively). From the geophyte group, G3 are found,<br />

which are perennial herbaceous plants with adventitious buds on the roots (3<br />

species; 15.8%), and Gi geophyte, with thin underground rhizomes (2;<br />

10.5%). The most abundant weeds in the organically grown maize belong to<br />

the T4 terophyte life form {Datura stramonium L., Chenopodium album L.,<br />

Chenopodium hybridum L., and Solanum nigrum L., as well as Polygonum<br />

lapathifolium L. and Amaranthus retrqflexus L.). These species have<br />

successfully adapted to the agrotechneial measures and the length of the<br />

maize vegetative period in the local climatic conditions; hence, in the<br />

absence of timely suppressive measures, they can achieve their full<br />

lifecycle. In addition to the aforementioned species, G3 geophyte<br />

Convolvulus arvensis L. also finds the local conditions suitable for<br />

development, as, owing to its long roots with numerous adventitious buds, it<br />

too successfully resists the agrotechnical measures.<br />

G3<br />

15.79%<br />

T 1<br />

T3<br />

5,26%<br />

T4<br />

63,16%<br />

Figure 1. Biological spectrum of the weed flora in organic maize production<br />

(2011-2012)<br />

The identified weed species are characterized by a relatively long<br />

flowering period (Tab. 1). Thus, the first species to flower - in March and<br />

April—are terophyte Senecio vulgaris L. and a perennial geophyte<br />

Euphorbia cyparissias L. These are followed by Chenopodium hybridum L.<br />

and Sinapis arvensis L. that flower from May onwards, whilst the flowering<br />

season for the greatest number of species (14) starts in June. In the studied<br />

area, weeding was performed manually, before the onset of flowering and<br />

46


Weed flora under organic maize production conditions<br />

fruiting. Such measures require significant effort and thus increase the<br />

production cost. Nonetheless, when performed in a timely manner, in the<br />

organic farming conditions, they demonstrate good efficacy. Given the<br />

length of the flowering and fruiting period, and other biological advantages<br />

of weed species, it is clear that, in the absence of timely weed control<br />

measures, these plants would successfully produce significant amounts of<br />

seeds that would be deposited in the soil. This is additional negative impact<br />

on maize crop and would adversely impact on the subsequent generation of<br />

crops.<br />

Conclusions<br />

In organic farming, in-depth understanding of weeds, primarily their<br />

biological and ecological characteristics, is an important prerequisite for<br />

successful control of their population and proliferation by mechanical<br />

means, due to the absence of herbicides as the most effective chemical<br />

compounds in combating weed growth.<br />

On the plots under the organic crop production, an integrated<br />

approach to crop protection is mainly applied, which implies use of<br />

agrotechnical measures, crop rotation and biological protective practices<br />

(Kovacevic, 2008; Nikolic et al., 2009). Here, it is necessary to devote<br />

particular attention to monitoring the presence of invasive weeds that may<br />

negatively affect the crop in which they develop, and more broadly,<br />

jeopardize the efforts aimed at the conservation of biodiversity of<br />

indigenous flora of an area and the environmental protection, in general.<br />

Acknowledgements This work was completed as a part of the project TR - 31027<br />

»Organic farming: Improving production using fertilizers, bioproducts and biological<br />

control measures«, funded by the Ministry of Education and Science, Republic of Serbia.<br />

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49


Nikolić et al.<br />

50


Herbologia, Vol. 13, No. 2, 2012<br />

EFFECT OF CHEMICAL WEED TREATMENT ON WEEDINESS<br />

AND POTATO YIELD<br />

Zoran Jovovic1, Nedeljko Latinovic, Ana Velimirovic1, Tatjana<br />

Popovic1,<br />

Danijela Stesevic2, Dobrivoj Postic3<br />

1 University of Montenegro, Biotechnical Faculty Podgorica<br />

2Faculty of Natural Sciences and Mathematics, Biology Department, Podgorica<br />

3 Institute for Plant Protection and Environment, Belgrade<br />

Abstract<br />

In this paper the results of study of efficiency of combined<br />

application of herbicides in weed control and their effect on yield was done<br />

during 2007 and 2008 in Kolasin (Drijenak village), on acid brown soil, at<br />

an altitude of about 900 m are presented. The following herbicides were<br />

included in the experiment: Acetochlor 900 EC + Prometrin SC 500, Acenit<br />

800 EC + Racer 25 EC, Frontier super + Sencor 70 WP, Sencor 70 WP +<br />

Fusilade Super and Lord 700 WG. The study was conducted in the<br />

Kennebec variety crop (leading potato variety in Montenegro). The control<br />

was not treated with herbicides, and tillage consisted of hilling in the stage<br />

of plant height 15 cm.<br />

All applied herbicides had satisfactory effect in decreasing number<br />

and biomass of weeds. In two years average, Frontier super + Sencor 70 WP<br />

and Sencor 70 WP + Fusilade super (92.3 and 90.3 for number and 88.4 and<br />

92.0 for biomass of weeds) combinations were most effective, and the<br />

weakest effect had combination of Acetochlor 900 EC + Prometrin SC 500<br />

(85.7, 76.8, respectively). In all combinations of herbicides application<br />

significantly higher yield was achieved comparing to the control.<br />

Keywords: weeds, herbicides, potato, yield<br />

Introduction<br />

According to the planted areas, potato is the leading crop in<br />

Montenegro. Potato crop represents more than 20% in total structure of<br />

arable land (Jovovic et al., 2012). Extensive cultivation systems, the use of<br />

inadequate planting material, inadequate selection and poor agricultural<br />

practices, production without irrigation, lack of weed control, and more<br />

frequent occurrence of high summer temperatures and long dry periods, etc.<br />

(Jovovic et al., 2008; Milosevic et al., 2004) are the main reasons why<br />

average potato yield in Montenegro is still low (approximately 15 t.h a ',<br />

http://www.monstat.orgV


Jovović et al.<br />

Weed presence is one of the most important constrains present in<br />

potato production. Although potato has very developed habitus, in early<br />

stages of growth it is very sensitive to weed influence. The very extreme<br />

effect may result in significant reduction of potato yield ranging from 10 up<br />

to 80% (Channappagoudar et al., 2007). As agro technological measures<br />

have high impact on crop weediness in general, control of weeds must be<br />

integrated and based on good knowledge of each factor effect and their<br />

aggregated effect (Božić et al., 1997).<br />

In addition to agricultural practices, great importance has the<br />

application of herbicides in weed control. Herbicides provide not only<br />

efficient but also prompt protection, much longer-term than other<br />

agricultural practices. Application of herbicides provides a safe crop<br />

protection, especially in the early stages of potato growth, i. e. from planting<br />

to foliage covering. This is very important as the crop is most sensitive at<br />

this time to the harmful effects of weeds. For successful control of weeds, a<br />

good knowledge of the composition of the weed flora in various<br />

environmental conditions, and the presence of dominant weed species is<br />

necessary (Šarić, 1988).<br />

Purpose of this research is to analyze effect of applied weed control<br />

measures on potato yield as result of different degree of crop weediness in<br />

agro-ecological conditions of northern Montenegro.<br />

Materials and methods<br />

A study of the effects of combined application of herbicides on<br />

weediness and potato yield was conducted in 2007 and 2008, in Drijenak<br />

(Kolašin), at an altitude of about 900 m. The study was done in the variety<br />

Kennebec (leading variety in Montenegro). The field experiment was in a<br />

random block design with 4 replications. Area of the elementary plot was 21<br />

m2. The previous crop in both years was rye. Potato planting was carried out<br />

manually at a distance 70 x 33 cm, and the density obtained was 43,000<br />

plants per hectare approximately. Ploughing, seedbed preparation and<br />

fertilization was carried out as for the standard potato crop.<br />

Efficiency degree was studied for 8 herbicides in 5 combinations of<br />

application. Type, quantity and method of herbicide applications are shown<br />

in table 1. Herbicides were applied with a dorsal pump CP-3, with<br />

consumption of 600 liters of water per hectare. Evaluation of weed control<br />

was carried out by the method of quantitative and qualitative determination,<br />

on constant square area of 1 m2, in the stage of the full flowering of potato<br />

plants. The efficiency of the applied methods of weed control (%) was<br />

52


Effect of chemical weed treatment on weediness and potato yield<br />

based on a 0-to-100% scale, where 0 = no control and 100 = no living<br />

weeds.<br />

Potato harvesting was done after full maturation of canopy. The<br />

potato yield in the experiment was determined by measuring the tubers at<br />

each elementary plot, and then the yield per hectare was calculated.<br />

Experiments were carried out in acid-brown soil (Table 2), with<br />

following characteristics: acid reaction, pH values in H2O je 5.67, and in<br />

nKCl 4.79; weakly calcareous (1.68% CaCOs), rich in humus (5.07%) and<br />

poor in available phosphorus and potassium (1.9 and 5.5 mg per 100 g,<br />

respectively).<br />

Table 1 - Basic data for applied variants<br />

Trial Herbicide Product Contents Product Application<br />

variant________ applied___________ applied__________o f a. i . ________ rate ________ method<br />

Hi Acetochlor Acetochlor 900 EC 900 g.l'1 2 l.ha'1 PREE<br />

« ___________ Prometrin Prometrin SC 500 500 g.l'1 2 l.ha *_________PREE<br />

§ W2 Acetochlor Acenit 800 EC 800 g.l'1 2 l.ha'1 PREE<br />

p Flurochloridone Racer 25 EC 250 g.l'1 2 l.ha'1 PREE<br />

H 3 Dimetenamid-P Frontier super 720 g.l"1 1 l.ha"1 PREE<br />

!§ Metribuzin Sencor70W P 700 g.kg'1 0.5 kg.ha'1 POST*<br />

^ H4 Metribuzin Sencor 70 WP 700 g.kg"1 0.75 kg.ha'1 PREE<br />

® Fluazifop-p-butil Fusilade super 125 g.l'1 2.5 l.ha'1 POST*<br />

H 5 Metribuzin Lord 700 WG 700 g.kg'1 0.75 kg.ha'1 POST*<br />

______ K Control variant_____________________________________________________________<br />

PREE - Herbicide applied at the pre-emergence stage<br />

POST* - Herbicide applied at the post-emergence stage of crop and weeds (after<br />

hilling)<br />

Weather conditions during the experiment are shown in table 3.<br />

Statistical analysis was done using factorial analysis of variance (ANOVA)<br />

and rating differences between mean values was performed by LSD test.<br />

Table 2 - Chemical characteristics of acid-brown soil on experiment field<br />

Depth (cm) pH CaC0 3 Humus Soluble mg/100 g<br />

H20 nKCl % % P2O5 K20<br />

0-40 5.67 4.79 1 . 6 8 5.07 1.9 5.5<br />

______________ Table 3 - Weather conditions during the experiment_____________<br />

________________________ Month________________________<br />

Year May__________ June________ July_________ August Average<br />

___________________________Air temperature ( C)______________________________<br />

2007 12.8 16.7 18.3 17.5 16.3<br />

53


Jovovic et al.<br />

2008 12.5 16.4 17.2 17.6 15.9<br />

Amount o f rainfall (mm)<br />

Total<br />

2007 136.9 101.0 44.9 16.3 299.1<br />

2008 37.4 103.5 113.5 2 0 . 2 274.6<br />

Results and discussion<br />

In two-years examination of potato, agrophytocenosis in Kolasin<br />

vicinity 24 weed species were registered (23 in 2007 and 18 in 2008).<br />

According to this, the weed communities in the studied area are relatively<br />

poor in species. Perennial species in potato weed species represent 9 or<br />

37.5%, and other species are annual, representing 15 or 62.5% of present<br />

weed species. Monocotyledonous species are 2 (8.3%), and dicotyledonous<br />

species are 22 (91.7%). Analysis of average weediness in control variant<br />

(Table 4) shows that the dominant group of weed species is presented with:<br />

Convolvulus arvensis (23 in 2007 and 21 ind.m'2 in 2008), Chenopodium<br />

album (26 and 14), Polygonum persicaria (14 and 9), Sinapis arvensis (14<br />

and 8), Galinsoga parviflora (13 and 9), Bilderdykia convolvulus (8 and 11),<br />

Amaranthus retroflexus (8 and 11) and Setaria viridis (5 i 9). In the total<br />

weediness of control treatment the weed species above mentioned were<br />

present with 113 ind.m"2 (60.2%), in 2007 and 88 ind.m'2 (78.6%),<br />

respectively. Other weed species were sporadically present and do not have<br />

significance in weed composition.<br />

Table 4 - Structure and number of weeds in potato crop recorded in<br />

control treatments over the period 2007-2008 (ind.m' )<br />

Weed species<br />

Year<br />

2007 2008 2007-2008<br />

Convolvulus arvensis L. 23 2 1 2 2<br />

Chenopodium album L. 26 14 2 0<br />

Polygonum persicaria L. 14 9 11.5<br />

Sinapis arvensis L. 14 8 1 1<br />

Galinsoga parviflora Cav. 13 9 1 1<br />

Bilderdykia convolvulus (L.) 8 1 1 9.5<br />

Amaranthus retroflexus L. 1 0 7 8.5<br />

Setaria viridis (L.) 5 9 7<br />

Other species* 75 24 49.5<br />

Total 188 1 1 2 150<br />

*Agropyron repens, Chenopodium hybridum, Cirsium arvense, Equisetum arvense,<br />

Euphorbia helioscopia, Geranium dissectum, Linaria vulgaris, Plantago lanceolata,<br />

Polygonum aviculare, Polygonum lapathifolium, Rumex acetossela, Stellaria media,<br />

Taraxacum officinale, Trifolium repens, Veronica agrestis and Viola arvensis<br />

54


Effect of chemical weed treatment on weediness and potato yield<br />

Table 5 shows that the highest weediness was noted in the<br />

experiments with the control variant - ind.m"2 150 (188 in 2007 and 112 in<br />

2008). The lowest weediness was found in treatment with Frontier super +<br />

Sencor 70 WP ( H 3 ) - 11.5 ind.m"2 (14 in 2007 and 9 in 2008), and the<br />

highest in the plots with application of Acetochlor 900 EC + Prometrin SC<br />

500 - 21.5 ind.m'2 (27 in 2007 and 16 in 2008).<br />

The results presented in Table 6 show that in the control treatment<br />

the highest weed biomass was measured - 75.8 g.m"2, 88.5 in 2007 and 63.1<br />

in 2008, while the lowest values of this parameter were measured in the<br />

treatment with Sencor 70 WP + Fusilade super ( H 4 ) - 6.1 g.m'2 (8.5 or 3.6 in<br />

two consecutive year of study). The lowest efficiency in the reduction of<br />

weed biomass was obtained in the combination of Acetochlor EC 900 +<br />

Prometrin SC 500 (Hi) - 17.6 g.m'2 (21.5 and 13.7). All herbicide treatments<br />

significantly reduced the weed biomass compared to control variant. Our<br />

results are in agreement with the findings of Phogat et al. (1989) and Lai<br />

(1990).<br />

Table 5 - Efficacy of investigated herbicides (Number of weeds per m2)<br />

Weed species<br />

Other<br />

Variant Year CON CHE POL SIN GAL BIL AMA SET species Total<br />

AR AL PE AR PA CO RE VI<br />

2007 6 2 0 4 1 0 5 3 6 27<br />

H x 2008 3 1 0 2 0 2 2 1 5 16<br />

Average 4.5 1.5 0 3 0.5 1 3.5 2 5.5 21.5<br />

2007 3 0 1 0 0 0 4 3 7 18<br />

h 2 2008 2 0 0 2 2 0 0 2 5 13<br />

Average 2.5 0 0.5 1 1 0 2 2.5 6 15.5<br />

2007 2 1 2 0 0 0 0 1 8 14<br />

h 3 2008 4 0 0 0 0 0 0 0 5 9<br />

Average 3 0.5 1 0 0 0 0 0.5 6.5 11.5<br />

2007 4 1 1 0 0 1 2 2 6 17<br />

H4 2008 1 2 0 2 0 0 1 0 6 1 2<br />

Average 2.5 1.5 0.5 1 0 0.5 1.5 1 6 14.5<br />

2007 3 2 0 3 2 0 3 3 9 25<br />

h 5 2008 2 0 2 1 0 1 0 2 6 14<br />

Average 2.5 1 1 2 1 0.5 1.5 2.5 7.5 19.5<br />

2007 23 26 14 14 13 8 1 0 5 75 188<br />

K 2008 2 1 14 9 8 9 1 1 7 9 24 1 1 2<br />

Average 2 2 2 0 11.5 1 1 1 1 9.5 8.5 7 49.5 150<br />

The two-year average of all applied herbicide combinations<br />

demonstrated high efficacy in reducing weed biomass, which ranged from<br />

55


Jovovic et al.<br />

76.8, in the treatment with Hi to 92, in the treatment H4 (Table 6).<br />

Differences in efficacy in suppressing weed biomass between treatments H 4 ,<br />

H 3 , H 2 and H i and H 5 were statistically justified. Hi combination in<br />

comparison with all other treatments showed the least effect. Metribuzin in<br />

some of our earlier studies showed very high efficacy in reducing infestation<br />

of potato crops (Jovovic et al., 2000, 2006 and 2011). We find high<br />

efficiency of the Metribuzin in the works of Janjic et al. (2000), Trajcevski<br />

et al. (2001), Mircov et al. (2006) and Hoyt and Monks (1996). Mehmeti<br />

(2004) states that this product applied after emergence stage shows higher<br />

efficacy than applied after hilling of the potatoes which is consistent with<br />

this research.<br />

Year<br />

Table 6. Dry biomass of weeds (g)<br />

Variant<br />

K Hi h 2 h 3 H4 h 5<br />

2007 88.5 21.5 1 2 . 2 1 0 . 1 8.5 17.8<br />

2008 63.1 13.7 5.7 7.4 3.6 9.9<br />

Average 75.8 17.6 9 8 . 8 6 . 1 13.9<br />

Along with the reduction of weed biomass all applied methods of<br />

chemical weed control exhibited a very significant impact on reducing the<br />

number of weed species and individuals compared to the controlled<br />

combination. Efficiency coefficient in two-year average varied from 85.7 in<br />

combination with Acetochlor 900 EC + Prometrin SC 500 (Hi) to 92.3<br />

Frontier super + Sencor 70 WP ( H 3 ) . Comparison of applied combinations<br />

did not show statistically significant differences. In the majority of herbicide<br />

treatments efficacy in reducing the number of weed plants were of<br />

approximately same value to those achieved in reducing weed biomass.<br />

Table 7 - Efficacy of investigated way of weed control for weeds<br />

number and dry biomass of weeds_________________________<br />

Efficacy o f Year<br />

Herbicide<br />

investigated<br />

Hi h 2 h 3 H4 h 5<br />

herbicides<br />

2007 85.6 90.4 92.6 91.0 86.7<br />

Weeds 2008 85.7 88.4 92.0 89.3 87.5<br />

number Average 85.7 89.7 92.3 90.3 87.0<br />

Dry biomass 2007 75.7 8 6 . 2 8 8 . 6 90.4 79.9<br />

o f weeds 2008 78.3 91.0 88.3 94.3 84.3<br />

Average 76.8 8 8 . 1 88.4 92.0 81.7<br />

2007 2008 2007/08<br />

56


Effect of chemical weed treatment on weediness and potato yield<br />

Weeds number ls d o .o s -<br />

___________________________________________ l s d o.oi_ _ _ _ _ _ _ :_ _ _ _ _ _ _ :_ _ _ _ _ _ _ _ _ ~<br />

Dry biomass of weeds l s d 005 4.594 6.896 4.816<br />

l s d 0.01 6.280 9.427 6.583<br />

In addition to the demonstrated effectiveness, all applied<br />

combinations of weed control exhibited a significant effect on increasing of<br />

the potato yield (table 8).<br />

Table 8 - Potato yields in experiments (t.ha1)<br />

Year<br />

Variant<br />

K Hi h 2 h 3 H4 h 5<br />

2007. 17.6 25.6 28.1 29.2 30.1 27.1<br />

2008. 19.1 29.5 33.3 32.5 34.2 30.3<br />

Average 18.4 27.6 30.7 30.9 32.2 28.7<br />

2007 2008 2007/08<br />

LSD 0.05 3.203 3.544 2.950<br />

LSD 0.01 4.345 4.808 4.003<br />

The highest yield of tubers, in two-year average, was found in the<br />

treatment H4 - 32.2 t.ha'1, while the lowest yields were measured in the<br />

control variant - 18.4 t.ha'1. The lowest yield was measured in potato crop<br />

treated with herbicide combination Acetochlor 900 EC + Prometrin SC 500<br />

(Hi) - 18.4 t.ha'1, which also had the lowest efficiency in the reduction of<br />

the number and biomass of weeds. Analysis of variance showed that<br />

differences observed in the potato yield in control and all herbicide<br />

treatment were statistically highly significant. Analysis within the herbicide<br />

treatment showed that the difference in yield between the combinations of<br />

tubers H 4 , H 3 , H 2 and H i variants and the combination with H 4 and H 5<br />

variants were statistically justified. Numerous authors observed a favourable<br />

impact of herbicides on the potato tuber yields as a result of eliminating<br />

weed competition (Jaiswal and Lai, 1996; Ackley et ah, 1996; Eberlein et<br />

ah, 1997; Janjic etal., 2006).<br />

From the above said derives that the potato yield were depended on<br />

the efficiency of herbicides and meteorological conditions in the studied<br />

years. The analysis of meteorological data in Table 3 shows that in 2007 and<br />

2008 in terms of average monthly air temperatures and the sum of the<br />

precipitation during the potato growing season were quite equalized. Higher<br />

average potato yields were obtained in 2008, which is explained by the fact<br />

that in this year distribution of rainfall was more favorable. The higher<br />

amount of rainfall at the beginning of the growing season in 2007 caused the<br />

poor vegetative growth of potato plants, and thus a weaker competitive<br />

57


Jovović et al.<br />

ability. Potatoes require moisture throughout the growing season, but<br />

excessive water can be undesirable and result in significantly reduced<br />

yields.<br />

Conclusions<br />

Based upon the research, following can be concluded:<br />

1. All applied method of weed control showed very high level<br />

of efficiency in reducing the number and biomass of weeds.<br />

2. Efficiency in decreasing the number of weed individuals and<br />

their biomass was almost the same for all studied herbicides.<br />

3. In the two-year average all applied herbicide combinations<br />

had high efficiency in decreasing weed biomass varying from 76.8, in<br />

acetochlor 900 ec + prometrin sc 500 (hi) treatment to 92, in sencor 70 wp +<br />

fusilade super (h4) treatment.<br />

4. All methods of chemical weed control were effective in terms<br />

of decreasing the number of weed species and weed individuals comparing<br />

to the control, efficiency coefficient in two years average was from 85.7 for<br />

combination acetochlor 900 ec + prometrin sc 500 (hi) to 92.3 frontier super<br />

+ sencor 70 wp (I13). comparison of applied herbicide treatments did not<br />

show statistically significant differences.<br />

5. The highest potato yield, two years average was measured in<br />

combination sencor 70 wp + fusilade super (h4) - 32.2 t.ha'1,while the<br />

lowest yield was measured in control - 18.4 t.ha"1. significantly higher<br />

potato yield was achieved when herbicides were applied, in all combinations<br />

comparing to the control.<br />

Literature<br />

ACKLEY, J. A., WILSON, H. P., HINES, T. E., 1996: Efficiacy of rimsulfuron and<br />

metribuzin in potato (Solatium tuberosum L.). Weed Technology, 10, p. 475—480.<br />

BOŽIĆ, D., KOVAČEVIĆ, D., MOMIROVIĆ, N., 1997: Agricultural systems and their<br />

importance in weed control. Contemporary problems in herbology, 153-173,<br />

Beograd.<br />

CHANNAPPAGOUDAR, B.B., BIRADAR, N.R., BHARMAGOUDAR, T.D. AND<br />

KOTKARNATAKA, R. V., 2007: Crop weed competition and chemical control of<br />

weeds in potato. J. Agric. Sci., 20 (4), 715-718.<br />

EBERLEIN, C. V., PATTERSON, P. E., GUTTIERI, M. J., STARK, J. C., 1997: Efficacy<br />

and economics of cultivation for weed control in potato (Solanum tuberosum L.).<br />

Weed Technology, 11, p. 257-264.<br />

HOYT, G.D., MONKS, D.W., 1996: Weed management in strip-tilled Irish potato and<br />

sweetpotato systems. Hort technology, 6 (3), 238-240.<br />

JAISWAL, V. P., LAL, S. S., 1996: Efficacy of cultural and chemical weed control<br />

methods in potato. Journal of Ind. Pot. Ass., 23,20-25.<br />

58


Effect of chemical weed treatment on weediness and potato yield<br />

JANJIÔ V., MILOSEVIC, D., BALOVIÔ, I. (2006): Investigation of rimsulfuron efficacy<br />

in potato crop in different agroecological conditions. Plant Protection. Vol. XVII,<br />

No. l.pp. 145-153<br />

JANJIC, V., STANKOVIC-KALEZIC, RADMILA, MARINKOVIC, IVANA, 2000: Study<br />

of rimsufuron effectiveness in potato crop, VI Weed congress, Abstract book, 481 -<br />

487, Banja Koviljaca.<br />

JOVOVIÉ, Z., DOLIJANOVIÉ, Z., KOVAÊEVlé, D., VELIMIROVIC, ANA,<br />

BIBERDZlC, M., 2012: The productive traits of different potato genotypes in<br />

mountainous region of Montenegro. Genetika, Vol. 44, No 2, 389-397, Belgrade.<br />

JOVOVlC, Z., LATINOVlC, N., STE§EVlC, DANIJELA, 2011: Efficiency of metribuzin<br />

in weed control in potato crop in the dependence of dose and time of application.<br />

Herbology, Vol. 12, No 2, 7-14, Sarajevo.<br />

JOVOVIC, Z., STESEVIC, DANIJELA, MOMIROVIC, N., MILOSEVIC, D., DALOVIC,<br />

I., 2006: The impact of different ways of weed control on the weediness and the<br />

potato seed crop yield near Pljevlja. Scientific papers of Faculty of agriculture,<br />

XXXVIII, 591-597, Temiçoara, Romania.<br />

JOVOVIC, Z., BIBERDZIC, M., SPALEVIC, V., MITROVIC, D., 2000: Influence of<br />

some herbicide and their combination on weed and yield of seed potatoes, Archive<br />

of agricultural science. 61, No 215, 239-254, Belgrade.<br />

LAL, S.S., 1990: Efficacy of herbicides for weed control in potato in Meghalaya Hills.<br />

Journal of Indian Potato Association, 17:48-51.<br />

MEHMETI, A., 2004: Three years effect of herbicide on weed flora and potato yield,<br />

Herbology, Vol. 5, No. 1, 85-94, Sarajevo.<br />

MILOSEVIC, D., IVANOVIC M., IVANOVIC, M., 2004: Epiphytotic fire blight in tomato<br />

and potato in Serbia and possible forecasts. VIII Scientific-expert symposium<br />

“Biotechnology and agroindustry”. Collection of abstracts. Velika Plana.<br />

MIRCOV, V. D., DALOVIC, I., BROCIC, Z., 2006: Results of weed control in field<br />

potatoes, Herbologia, Vol. 7, No. 1, 3-7, Sarajevo.<br />

PHOGAT, B.S., BHAN, V.M., JAGESINGH AND BALABIR SINGH, 1989: Bio<br />

efficiency of different herbicides with cultural practices in potato. Indian Journal<br />

of Weed Science, 21: 50-56.<br />

TRAJCeVSKI, T., AGIÉ, RUKIJE, POPSIMONOVA, GORDANA, 2001: Weed control<br />

with herbicides in potato crop, Modem agriculture, Vol. 50, No 1-3, 283-286,<br />

Novi Sad.<br />

SARlC, T., 1988: Weeds and Their Control by Herbicides, Zadrugar, Sarajevo.<br />

59


Jovović et al.<br />

60


Herbologia, Vol. 13, No. 2, 2012<br />

PLANT COVER OF NATURAL PASTURE LOCATED IN THE<br />

VICINITY OF THE TOWN OF BOČAR<br />

Aleksa Knežević, Branka Ljevnaić-Mašić, Dejana Džigurski,<br />

Branko Ćupina<br />

Faculty of Agriculture, University of Novi Sad,<br />

Trg D. Obradovića 8 , 21 000 Novi Sad, Serbia<br />

e-mail: brana@poli.uns.ac.rs<br />

Abstract<br />

The plant cover of the natural pasture on the solonetz and saline<br />

smonitza located in the vicinity of the town of Bočar (Serbia - the<br />

Vojvodina Province - Banat) are characterized by 135 taxa (119 species, 5<br />

subspecies, 4 varieties, 6 forms and 1 lusus). 126 taxa were listed i.e. 119<br />

species, 5 subspecies and, because of their ecological characteristics, two<br />

varieties Aster tripolium L. var. pannonicus (Jacq.) Beck and Glyceria<br />

fluitans (L.) R. BR. var. poaeformis Fies. These varieties were put on the list<br />

because their higher taxonomic categories were not found in the studied<br />

flora. Specific features of the plant cover of the studied area are result of<br />

their ecological, phytocoenological and plant-geographic characteristics.<br />

Ecological characteristics result from 42 halophyte taxa (33.33%) with the<br />

ecological index S+. Phytocoenological elements are stands of one<br />

phytocenoses from Phragmitetea Tx. et Prsg. 1942 class (Ass.<br />

Bolboschoenetum maritimi continentale) and ten phytocenoses from<br />

Festuco-Puccinellietea Soó 1968 class (Ass. Puccinellietum limosae, Ass.<br />

Pholiuro-Plantaginetum tenuiflorae, Ass. Hordeetum histricis, Ass.<br />

Camphorosmetum annuae, Ass. Agrostio-Alopecuretum pratensis, Ass.<br />

Agrostio-Beckmannietum, Ass. Agrostio-Eleochariti-Alopecuretum<br />

geniculati, Ass. Halo-Agropyretum repentis, Ass. Artemisio-Festucetum<br />

pseudovinae i Ass. Achilleo-Festucetum pseudovinae). Plant-geographic<br />

characteristics of studied area are endemic species of Pannonian Plain<br />

Plantago schwarzenbergiana Schur and Statice gmelini subsp. hungaricum<br />

(Klokov) Soó and also subendemic species of Pannonian Plain Puccinellia<br />

limosa Holmb. and Roripa kerneri Menyh. Based on 33.33% of recorded<br />

taxa, which are characterized by S+, stands of 11 phytocenoses that are<br />

characteristic of saline sites and the presence of two Pannonian and two


Knežević et al.<br />

Subpannonian elements of flora we can conclude that natural pasture<br />

located in vicinity of the town of Bočar (Banat-Serbia) is part of halobiom<br />

of the Pannonian Plain region.<br />

Keywords: natural pasture, saline, flora, vegetation, Bočar (Vojvodina province - Serbia)<br />

Introduction<br />

Due to their poor soil properties, continental salt marshes are, in<br />

terms of crop production, unused or underused land. In addition to being<br />

suitable for growing aromatic and medicinal plants and the development of<br />

agro-forestry, they are also important as natural pastures (Li et al., 2008). In<br />

the Pannonian Plain, known as the granary of the Central European region,<br />

on the continental salt marshes, due to their low organic production,<br />

relatively well-preserved natural vegetation cover, commonly used as a<br />

natural pasture, has survived (Slavnić, 1948; Bodrogkoozy, 1966, 1970;<br />

Godicl; 1980; Sadovsky et al., 2004; Patrut et al., 2005; Purger 2006).<br />

Studies on pasture flora on saline soils in Vojvodina stem from the floristic,<br />

vegetation, phytogeographical and ecological research (Parabućski, 1980;<br />

Knežević, 1980, 1984, 1994; Vučković, 1985; Knežević et al., 1998, 2005,<br />

2012).<br />

In addition to plants and plant communities adapted to the increased<br />

salt concentration in the flora of natural grasslands, their ecological<br />

conditions are also suitable for successful growth and development of nonhalophytic<br />

species. That is why the salt marshes of this region, especially<br />

when surrounded by arable land, are an important refuge (asylum) for taxa<br />

characteristic for weed and ruderal flora and vegetation. Weed and ruderal<br />

taxa represented in this flora are very important, as they support part of, or<br />

an entire, lifecycle of many organisms (insects, fungi, nematodes and<br />

viruses) that, as pests or disease agents, significantly contribute to the<br />

reduction in the yield (crop, vegetable, fruit, grape and horticultural) of the<br />

surrounding cultivated land (Knežević et al., 2002, 2010; Ljevnaić-Mašić et<br />

al., 2011).<br />

For this reason, floristic, vegetation, phytogeographical and<br />

ecological studies of salt marsh pasture flora in Vojvodina is important for<br />

62


Plant cover of natural pasture located in the vicinity of the town of Bocar<br />

weed research and broadening the extant knowledge on the development of<br />

pests and pathogens in cultivated plants.<br />

The aim of this study was to establish flora, vegetation and plantgeographic<br />

characteristics of the natural pasture located in the vincitz of the<br />

town of the Bočar (Serbia - the Vojvodina Province - Banat).<br />

Material and methods<br />

The data about studied pasture land are according to Benka and<br />

Salvai (2005). The data about the climate of the studied area according to<br />

Ljevnaić-Mašić (2010). The data on the natural plant cover of the pastures<br />

located in the vicinity of Bočar combine a part of the results of a previous<br />

study of plant cover of saline soils of Banat (Knežević et al., 2008) and the<br />

results of studies conducted 2010-2011. years in the location mentioned<br />

above. The observed plants were determined and their names identified in<br />

accordance with the nomenclature in Josifović (1970-1976), Savulescu<br />

(1952-1976) and Tutin et al. (1964-1980). Values of the salinity index of the<br />

observed taxa were estimated according to the criterion of Landolt (Landolt,<br />

1977. The taxa that had not been characterized by Landolt were<br />

characterized by Knežević (1994). Whereas taxon Hordeum asperum<br />

(Simk.) Deg. in these publications is not characterized with ecological<br />

indices of salinity sites, its suitability we are characterized with S.. The<br />

syntaxonomic position of the observed plant communities at the natural<br />

pasture located in the vicinity of Bočar was defined according to Knežević<br />

et al. (1998). The listed taxa were divided according to endemic and<br />

subendemic of Pannonian Plain region on the basis of publications of Soo<br />

(1964-1985).<br />

Studied area<br />

Bočar is a town in Pannonian part of Serbia (Vojvodina Province -<br />

Banat), Fig. 1. A climate diagram after Walter made on the basis of the data<br />

from the meteorological station in Kikinda shows that studied area has a<br />

semi-arid unfavorable period from mid-July to late September (Ljevnaić-<br />

Mašić, 2010). Due to weak organic production, south and southwest of the<br />

town Bočar are the raw surface of solonetz and saline smonitza. In these<br />

areas grows poor plant cover, which the locals used as natural pasture.<br />

63


Knežević et al.<br />

Fig. 1. Map of Vojvodina Province (Northern Serbia) with the location of<br />

the investigated site<br />

Results and discussion<br />

Flora of saline sites on the solonetz and saline smonitza located in<br />

the vicinity of the town of Bočar:<br />

64


Plant cover of natural pasture located in the vicinity of the town of Bocar<br />

1. Achillea millefolium L. ISJ,<br />

2. A. setacea W. et K. ISJ,<br />

3. Agrimonia eupatoria L. ISJ,<br />

4. Agropyrum repens (L.) Beauv.<br />

IS+J,<br />

5. Agrostis alba L. ISJ,<br />

A. alba L. f. coarctata Rchb.,<br />

6. Alisma lanceolatum With. ISJ,<br />

7. A. plantago-aquatica L./S./,<br />

8. Alopecuros geniculatus L. /S+/,<br />

9. A. pratensis L. ISJ,<br />

10. Anagallis femina Mill. ISJ,<br />

11. Artemisia marítima L. subsp.<br />

monogyna (W. et K.) Gams. /S+/,<br />

12. Aster tripolium L. var.<br />

pannonicus (Jacq.) Beck /S+/,<br />

13. Atriplex tatarica L. IS+I,<br />

14. Beckmannia eruciformis (L.)<br />

Host/SV,<br />

15. Bolboschoenus maritimus (L.)<br />

Palla /S+/,<br />

16. Bromus commutatus Schrad.<br />

ISJ,<br />

17. B. mollis L. ISJ,<br />

18. Bupleurum tenuissimum L.<br />

ISJ,<br />

19. Butomus umbellatus L. ISJ,<br />

20. Calamagrostis epigeios (L.)<br />

Roth. ISJ,<br />

21. Camphorosma annua Pall.<br />

IS+I, C. annua Pall. f. nana Moq.<br />

22. Carduus nutans L. ISJ,<br />

23. Carex distans L. IS+I,<br />

24. C. vesicaria L. ISJ,<br />

25. C. vulpina L. ISJ,<br />

26. Centaurium umbellatum Gilib.<br />

ISJ,<br />

27. Cerastium caespitosum Gilib.<br />

ISJ,<br />

28. C. dubium L. (Bast.) Schwarz.<br />

ISJ,<br />

29. Chenopodium rubrum L.<br />

subsp. botryoides Sm. IS+I,<br />

Ch. rubrum L. subsp. botryoides<br />

Sm. var. crassifolium (Horn.)<br />

Kov.<br />

30. Ch. vulvaria L. ISJ,<br />

31. Cichorium intybus L. ISJ,<br />

32. Cirsium arvense (L.) Scop./S.<br />

/,<br />

33. C. lanceolatum (L.) Scop. ISJ,<br />

34. Convolvulus arvensis L. ISJ,<br />

35. Cynodon dactylon (L.)Pers./S.<br />

/,<br />

36. Dactylis glomerata L. ISJ,<br />

37. Daucus carota L. ISJ,<br />

38. Dipsacus laciniatus L. ISJ,<br />

39. Eryngium campestre L. IS J,<br />

40. Euphorbia cyparisias L. ISJ,<br />

41. Festuca vallesiaca Sch. subsp.<br />

pseudovina (Hack.) A. et G. IS+I,<br />

42. Fragaria viridis Dúchense IS .<br />

/,<br />

43. Galium aparine L. IS J,<br />

44. G. verum L. IS J, G. verum L.<br />

f. spiculifolium Schur<br />

45. Glyceria fluitans (L.) R. Br.<br />

var. poaeformis Fries. IS+I,<br />

46. Gypsophila muralis L. IS J,<br />

47. Heleocharis palustris(L.)R.Br.<br />

ISJ,<br />

48. Hordeum asperum (Simk.)<br />

Deg. ISJ,<br />

49. H. maritimum Stokes subsp.<br />

gussoneanum (Pari.) A. et G. IS+I,<br />

50. Hypericum perforatum L. IS J,<br />

51. Inula britannica L. /S+/,<br />

52. Juncus compressus Jacq. IS+I,<br />

65


Knezevic et al.<br />

J. compresus Jacq. var.<br />

compressus f. porphyrocarpus J.<br />

Murr.<br />

53. J. conglomeratus L. /S V,<br />

54. J. gerardi Lois. /S+/,<br />

55. Lactuca saligna L. /S+/,<br />

56. Lathyrus aphaca L. /S V,<br />

57. L. hirsutus L. /S V,<br />

58. L. tuberosus L. /SV,<br />

59. Lepidium draba L. /SV,<br />

60. L. ruderale L. /SV,<br />

61. Lolium perenne L. /S 7,<br />

62. Lotus corniculatus L. /SV,<br />

63. L. tenuis Kit. /S+V,<br />

64. Lycopus europaeus L. /SV,<br />

65. L. exaltatus L. /SV,<br />

66. Lysimachia nummularia L./S.<br />

/,<br />

67. Lythrum salicaria L. /SV,<br />

68. L. virgatum L. /SV,<br />

69. Marrubium peregrinum L. /S.<br />

/,<br />

70. M vulgare L. /SV,<br />

71. Matricaria chamomilla L.<br />

/SV,<br />

M. chamomilla L. f. salina<br />

(Schur) Jáv.<br />

72. M. inodora L. /S+/,<br />

73. Medicago falcata L. /SV,<br />

74. M lupulina L. /SV,<br />

75. Melilotus officinalis (L.)<br />

Pallas /SV,<br />

76. Mentha pulegium L. /S+/,<br />

77. Myosurus minimus L. /SV,<br />

78. Oenanthe silaifolia M.B. /S+/,<br />

79. Ononis spinosa L. /SV,<br />

80. Ornithogalum gussonei Ten.<br />

/SV,<br />

81. Panicum crus-galli L. /SV,<br />

82. Pastinaca sativa L. /SV,<br />

83. Pholiurus pannonicus (Host)<br />

Trin. /S+/,<br />

84. Phragmites communis Trin.<br />

/S+/,<br />

85. Plantago lanceolata L. (S.),<br />

P. lanceolata L. var.<br />

sphaerostachya M. et K.,<br />

86. P. schwarzenbergiana Schur<br />

/S+/,<br />

87. P. tenuiflora W. et K. /S+/,<br />

P. tenuiflora W. et K. f.<br />

depauperata Domin<br />

88. Poapratensis L. /SV,<br />

89. Podospermum canum C. A.<br />

Mey. /SV,<br />

90. Polygonum aviculare L. /SV,<br />

91. Portulaca oleracea L. /SV,<br />

92. Potentilla argentea L. /SV,<br />

93. P. reptans L. /SV,<br />

94. Prunella vulgaris L. /SV,<br />

95. Prunus spinosa L. /SV,<br />

96. Puccinellia limosa (Schur)<br />

Holmb. IS+/,<br />

97. Pulicaria vulgaris Gärtn. /S+/,<br />

98. Ranunculus lateriflorus DC<br />

/S+/,<br />

99. 7?. sardous Cr. /S+/,<br />

100. Roripa austriaca (Cr.) Bess.<br />

/SV,<br />

101. i?, kemeri Menyh. /S+/,<br />

102. Rumex crispus L. /S+/,<br />

103. i?, patientia L. /SV,<br />

104. Salvia nemorosa L. /SV,<br />

105. Schoenoplectus lacuster (L.)<br />

Palla/SV,<br />

106. Setaria viridis (L.) P.B. /SV,<br />

107. Sinapis arvensis L. /SV,<br />

108. Spergularia media (L.) Presl.<br />

/S+/,<br />

109. Statice gmelini Willd. subsp.<br />

hungaricum (Klokov) Soó (S+),<br />

66


Plant cover of natural pasture located in the vicinity of the town of Bocar<br />

110. Stenactis annua (L.) Ness./S.<br />

/,<br />

111. Suaeda maritima (L.) Dum.<br />

IS+I,<br />

112. Symphytum officinale L. ISJ,<br />

S. officinale L. 1. albiflorum<br />

Kirschl.<br />

113. Trifolium angulatum W.et K.<br />

ISJ,<br />

114. T. arvense L. ISJ,<br />

115. T. campestre Schreb. ISJ,<br />

116. T. pratense L. ISJ,<br />

117. T. repens L. ISJ,<br />

118. T. striatum L. IS+I,<br />

119. Typha angustifolia L. /S+/,<br />

120. Typhoides arundinacea (L.)<br />

Mnch. ISJ,<br />

121. Verbascum blattaria L. /S+/,<br />

122. Verbena officinalis L. ISJ,<br />

123. Veronica anagallis-aquatica<br />

L. ISJ,<br />

124. V scutellata L. ISJ,<br />

125. Vulpia myuros (L.) Gmel. IS.<br />

/<br />

126. Xanthium italicum Moretti<br />

IS+I.<br />

67


Knežević et al.<br />

Of the 135 registered taxa (119 species, 5 subspecies, 4 varieties, 6<br />

forms and 1 lusus), 126 were listed as separate species. The latter croups<br />

comprised 119 species, 5 subspecies and, because of their ecological<br />

characteristics, 2 varieties (Aster tripolium L. var. pannonicus (Jacq.) Beck<br />

and Glyceria fluitans (L.) R. BR. var. poaeformis Fies.). These varieties<br />

were put on the list because their higher taxonomic categories were not<br />

found in the studied flora.<br />

The 9 unlisted taxa had a lower taxonomic rank than subspecies, and<br />

we registered their higher taxonomic categories in the studied flora. This<br />

group included 2 varieties (Chenopodium rubrum L. subsp. botryoides Sm.<br />

var. crassifolium (Horn.) Kov. and Plantago lanceolata L. var.<br />

sphaerostachya M. et K.), 6 forms (Agrostis alba L. f. coarctata Rchb.,<br />

Camphorosma annua Pall. f. nana Moq., Galium verum L. f. spiculifolium<br />

Schur, Juncus compresus Jacq.var. compressus f. porphyrocarpus J.Murr.,<br />

Matricaria chamomilla L. f. salina (Schur) Jáv. and Plantago tenuiflora W.<br />

et K.f. depauperata Domin) and one lusus (Symphytum officinale L. 1.<br />

albiflorum Kirschl.).<br />

Ecological characteristics of plant cover result from 42 halophytes<br />

(33.33%) with the ecological index S+.<br />

Therefore, in the natural flora of pasture located in the vicinity of the town<br />

of Bočar percentage of halophytes is smaller than in the natural flora of<br />

pastures in the vicinity of the town of Novalja - Salt Kopovo (Knežević et<br />

al., 2005) and Kumanovo (Knežević et al., 2009), and higher than in flora of<br />

natural pastures in the vicinity of in the town of Kneževac (Knežević et al.,<br />

2011) and Elemir - Okanj (Knežević et al., 2012).<br />

The taxa found in the natural pasture located in the vicinity of the town of<br />

Bočar formed stands of 11 plant communities whose sintaxonomic position<br />

are:<br />

Class Phragmitetea Tx. et Prsg. 1942<br />

Order Bolboschoenetalia maritimi Hejny 1967 p.p. (Bolboschenetea<br />

maritimi Tx. 1969, Scirpetalia maritimi Borhidi 1970 p.p.)<br />

68


Plant cover of natural pasture located in the vicinity of the town of Bocar<br />

Alliance Bolboschoenion maritimi continentale Soö (1945) 1947 emend.<br />

Borhidi 1970<br />

Ass. Bolboschoenetum maritimi continentale Soô (1927) 1957 (


Knezevic et al.<br />

Ass. Achilleo-Festucetum pseudovinae (Magyar 1928) Soo 1945.<br />

The stands of ass. Bolboschoenetum maritime continentale<br />

overgrown edges of canals and rare large deep depressions. During the<br />

vegetation period their sites are a long time under the surface water or with<br />

high groundwater level. This plant cover of the pasture cattle avoid to graze<br />

and farmers do not mow. There are dominated Bolboschoenus maritimus<br />

and Schoenoplectus lacuster, and also Phragmites communis, Typha<br />

angustifolia, Alisma plantago-aquatica and Veronica anagallis-aquatica.<br />

Due to surface erosion, the stands of the communities from the<br />

alliance Puccinellion limosae i.e. the stands of ass. Puccinellietum limosae,<br />

Pholiuro-Plantaginetum, Hordeetum histricis and Camphorosmetum<br />

annuae overgrown shallow, saline and smaller depressions. After a brief<br />

spring flooding, these sites are much shipping dry in the later part of the<br />

vegetation period. Their plant cover, which is low, limited, poor with<br />

species and with low ground cover, is negligible for the grazing of livestock.<br />

The stands of the communities from the alliance Halo-Agrostion<br />

albae pannonicum i.e. the stands of ass. Agrostio-Alopecuretum pratensis,<br />

Agrostio-Beckmannietum and Agrostio-Eleochariti-Alopecuretum<br />

geniculati overgrown slightly saline bottom of more spacious depressions.<br />

During early spring, due to the high groundwater level, in these depressions<br />

the soil moisture is significant. This is the period of their the greatest<br />

nutritional value but also the period of the most intensive grazing which<br />

causes waterlogging due to livestock trampling. Therefore, mowing of this<br />

stands is not profitable. Only in some spacious and preserved sites of the stands<br />

of ass. Agrostio-Alopecuretum pratensis the mowing by machine is present,<br />

but grazing in later period in these areas is very scarce.<br />

The stands of the communities from the alliance Festucion<br />

pseudovinae i.e. the stands of ass. Halo-Agropyretum repentis, Artemisio-<br />

Festucetum pseudovinae and Achilleo-Festucetum pseudovinae are the<br />

plant cover developed on the highest parts of the pasture which are usually<br />

out of reach groundwater during the vegetation period.<br />

The stands of the ass. Halo-Agropyretum repentis are the<br />

degradation stages of the stands of ass. Achilleo-Festucetum pseudovinae.<br />

70


Plant cover of natural pasture located in the vicinity of the town of Bocar<br />

Their development, on the wetter sites, is caused by intensive grazing and<br />

sometimes by farming efforts undertaken at these sites. Therefore, these<br />

sites had acquired characteristics of ruderal vegetation developing on a<br />

slightly saline soil. The cutting yields are modest, hay is medium quality<br />

and grazing in later period is poorly productive.<br />

The stands of the ass. Achilleo-Festucetum pseudovinae is<br />

predominant type of plant cover. Salts which are rinsed from the surface<br />

layers of soil are causes the development of this stands. Their floristic<br />

composition, in addition to the species that are typical of the meadow-steppe<br />

vegetation of the continental salinas (halophytes) from the class Festuco-<br />

Puccinellietea, includes plant species that comprise the humid meadows<br />

from the class Molinio-Arrhenatheretea, which are present in the early<br />

spring, and the species that comprise the dry meadows from the class<br />

Festuco-Brometea, which develop later in the season. These sites are good<br />

hayfields early in the spring, and best pasture afterwards.<br />

The stands of the ass. Artemisio-Festucetum pseudovinae are also<br />

degradation stages of the stands of the ass. Achilleo-Festucetum<br />

pseudovinae. Their development, on slightly drier sites, is caused by a<br />

poorly developed (often destructive) surface layer of soil. Therefore, the<br />

cutting yields are modest, hay is poor quality and grazing on them is scarce.<br />

Conclusions<br />

The plant cover on sites of the natural pasture on the solonetz and<br />

saline smonitza located in the vicinity of the town of Bocar are<br />

characterized by 135 taxa. This plant cover is ecological, phytocoenological<br />

and plant-geographic specific. Ecological characteristics result from 42<br />

halophyte taxa (33.33%) with the ecological index S+. Phytosociological<br />

specificity consists 11 phytocoenoses. Class Phragmitetea is present by one<br />

phytocenoses (Bolboschoenetum maritimi continentale). Class Festuco-<br />

Puccinellietea is present by ten phytocenoses (Puccinellietum limosae,<br />

Pholiuro-Plantaginetum tenuiflorae, Hordeetum histricis,<br />

Camphorosmetum annuae, Agrostio-Alopecuretum pratensis, Agrostio-<br />

Beckmannietum, Agrostio-Eleochariti-Alopecuretum geniculati, Halo-<br />

Agropyretum repentis, Artemisio-Festucetum pseudovinae and Achilleo-<br />

Festucetum pseudovinae). Plant-geographic characteristics are endemic<br />

71


Knežević et al.<br />

species of Pannonian Plain Plantago schwarzenbergiana and Stotice gmelini<br />

subsp. hungaricum and also subendemic species of Pannonian Plain<br />

Puccinellia limosa and Roripa kerneri. Taking in consideration the presence<br />

of 42 halophyte taxa (33.33%), the presence phytocoenoses typical for<br />

saline sites and the presence of two Pannonian and two sub-Pannonian<br />

endemic species it was concluded that the studied pasture located in the<br />

vicinity of the town of Bočar (Banat - Serbia) is part of the halobiome of the<br />

Pannonian Plain.<br />

Acknowledgement This study is part of the project TR31016 »Improvement of field<br />

forage crops agronomy and grassland management« supported by the Ministry of<br />

Education and Science of the Republic of Serbia.<br />

References<br />

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geografskog informacionog sistema. Melioracije u održivoj poljoprivredi,<br />

Departman za uređenje voda, Poljoprivreni fakultet, Novi Sad, 53-59.<br />

BODROGKOZY, G., 1966: Ecology of the halophilic vegetation of the Pannonicum V.<br />

Results of the investigation of the “Feherto” of Oroshaza. Acta Botanica.<br />

Akademiae scientiarum Hungaricae, Budapest, 12, 9-26.<br />

BODROGKOZY, G., 1970: Ecology of the halophilic vegetation of the Pannonicum VII.<br />

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Biologica Hungarica, Szeged, 16(3-4), 25-41.<br />

GODICL, Lj., 1980: Stepska flora v severozahodni Jugoslaviji. Slovenska akademija<br />

znanosti in umetnosti, Ljubljana, 22(4), 281-367.<br />

JOSIFOVIĆ, M., 1970 - 1976: Flora SR Srbije I-IX. SANU, Beograd.<br />

KNEŽEVIĆ, A., 1980: Slatinska vegetacija stepsko-livadskog karaktera u okolini Kruščića.<br />

Zbornik za prirodne nauke Matice srpske, Novi Sad, 59,101-129.<br />

KNEŽEVIĆ, A. (1984): Zajednica Puccinellietum limosae (Rapes. 1927) Soo 1930 na<br />

slatinama jugoistočnog Banata. Zbornik za prirodne nauke Matice srpske, 6 6 , 45-<br />

56, Novi Sad.<br />

KNEŽEVIĆ, A., 1994: Monografija flore vaskulamih biljaka na slatinama u regionu<br />

Banata (Jugoslavija). Matica srpska, Novi Sad, Srbija.<br />

KNEŽEVIĆ, A., P. BOŽA, B. BUTORAC, V. PEKANOVIĆ, R. IGIĆ, D. VUKOV, 1998:<br />

Halophytic Vegetation of the Yugoslav partion of the Banat region. Al II-lea<br />

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412-419.<br />

KNEŽEVIĆ, A., S., STOJANOVIĆ, D., Lj., LAZIĆ, NIKOLIĆ, B., LJEVNAIĆ, 2002:<br />

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poljoprivredi, Tematski zbornik radova, Poljoprivredni fakultet, Novi Sad, 76-81.<br />

KNEŽEVIĆ, A., S. STOJANOVIĆ, LJ. NIKOLIĆ, D. DŽIGURSKI, B. LJEVNAIĆ-<br />

MAŠIĆ, B. ĆUPINA, M. BELIĆ, 2009: Produktivnost biljnog pokrivača<br />

prirodnog pašnjaka na solonjecu u okolini naselja Kumane. Acta herbologica,<br />

18(1), 29-39.<br />

KNEŽEVIĆ, A., B., LJEVNAIĆ-MAŠIĆ, D., DŽIGURSKI, 2010: Korovi kao vektori<br />

bolesti i štetočina pri organskoj proizvodnji rukole - Eruca vesicaria (L.) Cav.<br />

(syn. Eruca sativa Miller) (Brassicaceae Bum., Capparidales). Acta Biologica<br />

Jugoslavica, serija G: Acta herbologica, 19(1), 19-30.<br />

KNEŽEVIĆ, A., D. DŽIGURSKI, B. LJEVNAIĆ-MAŠIĆ, B. ĆUPINA, D. MILOŠEV,<br />

2011: Plant cover of natural pastures located in the vicinity of the town of Novi<br />

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30.<br />

KNEŽEVIĆ, A., D. DŽIGURSKI, B. LJEVNAIĆ-MAŠIĆ, D. MILIĆ, 2012: Ecological<br />

analysis of the grassland flora in the riparian zone of Okanj oxbow lake<br />

(Vojvodina, Serbia). Pak. J. Bot. 44(1): 21-25.<br />

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des Geobotanischen Institutes der ETH, Stiftung Rübel, 64. Heft. Zürich,<br />

Germany.<br />

LI, W.Q., L., XIAO-JING, M.A., KHAN, B. GUL, 2008: Relationship between soil<br />

characteristics and halophytic vegetation in coastal region of north China. Pak. J.<br />

Bot., 40(3): 1081-1090.<br />

LJEVNAIĆ-MAŠIĆ, B., 2010: Hidrofite Osnovne kanalske mreže Hidrosistema DTD na<br />

području Banata. Doktorska disertacija, Prirodno-matematički fakultet, Novi Sad,<br />

1-262.<br />

LJEVNAIĆ-MAŠIĆ, B„ A., KNEŽEVIĆ, D„ DŽIGURSKI, S., STOJANOVIĆ, 2011:<br />

Weeds as vectors of disease and pests in organic production of leaf lettuce Lactuca<br />

sativa L. subsp. secalina Alef. (Asterales, Asteraceae). Journal on Processing and<br />

Energy in Agriculture, 15(1), 35-38.<br />

PARABUĆSKI, S. 1980: Karakteristike nekih halofitskih fitocenoza u Bačkoj. Zbornik<br />

Matice srpske za prirodne nauke, 58, 81-99. Novi Sad.<br />

PÄTRUJ, D., A., POP, I., COSTE, 2005: Biodiversitatea halofitelor din Câmpia Banatului.<br />

Eurobit. Timisoara.<br />

PURGER, D. 2006: Subterranean clover (Trifolium subterraneum L.) in communities in the<br />

Great Hungarian Plain: questions of coenology, nomenclature and syntaxonomy.<br />

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SÂDOVSKŸ M., P., ELIÂS, D., DÎTË, 2004: Distribution of halophytic communities in<br />

southwestern Slovakia: history and present. Bull. Slov. Bot. Spoločn., Bratislava,<br />

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tehniku. Beograd, 3(4), 76-142.<br />

SOÔ, R., 1964-1985: A magyar flora és vegetaciô rendszertani-nôvényjoldrajzi kézikônyve<br />

I- VII, Akadémiai Kiadô, Budapest, Hungary.<br />

TUTIN, G., V.H. HEYWOOD, N.A. BURGES, D.H. VALENTINE, S.M. WALTERS,<br />

D.A WEBB, 1964-1980: Flora Europea 1-5, University press, Cambridge.<br />

VUCKOVIC, R., 1985: Fitocenoza slatinske vegetacije istočnog Potamišja, njihova<br />

produkcija i hranjiva vrednost. Doktorska disertacija, PMF, Beograd.<br />

74


Herbologia, Vol. 13, No. 2, 2012<br />

WEED COMPOSITION AND DIVERSITY OF ORGANIC AND<br />

CONVENTIONAL MAIZE FIELDS IN jASZSAG REGION, IN<br />

HUNGARY<br />

Preliminary Communication<br />

Zita Dorner, Phan Quoc Nam, Mark Szalai, Mihaly Zalai, Zsuzsanna<br />

Keresztes<br />

Plant Protection Institute, Faculty of Agricultural and Environmental Sciences,<br />

Szent Istvan University, 2100 Godollo, Hungary<br />

Domer.Zita@mkk.szie.hu<br />

Abstract<br />

This study analyzes weed flora of maize crop in organic fields of<br />

Tamamenti farm in Jaszdozsa and neighbouring areas where maize was<br />

managed by conventional techniques. The aim was to find out the dominance<br />

of weed species (based on cover %) in the fields. In addition, analysing the<br />

influence of farming systems and effects of sampling times on weed flora<br />

were made, and the interaction between farming systems and sampling times<br />

was also analyzed.<br />

Weeds were assessed in lx l sample quadrates randomly placed<br />

within the fields. Assessments were made three times during the maize<br />

growing season in 2011. Cover of weeds on species level was directly<br />

recorded by visual estimation.<br />

There were differences between weed species found in organic fields<br />

and conventional fields. The most dominant weed of both organic and<br />

conventional fields was Echinochloa crus-galli. Average total weed cover<br />

and diversity index of organic maize fields were higher than those in<br />

conventional fields. The effect of farms was significant both on weed cover<br />

and on diversity index. Effects of sampling times on weed cover were<br />

significant but insignificant on diversity index. Number of weed species<br />

depended on farming systems, but not depended on sampling times. A<br />

significant interaction between farms and sampling times on weed cover and<br />

on diversity index were found.<br />

Keywords: farming systems, maize, weed flora, weed cover, weed diversity


Domer et al.<br />

Introduction<br />

The organic approach differs from the conventional farming in lots of<br />

attribute because these farming systems are diverse in their cultivation<br />

structure. For example, the use of pesticides and fertilizers is not allowed in<br />

some systems. Chemicals can be only used in integrated and conventional<br />

systems but their use is forbidden in organic farming. Avoiding the use of<br />

pesticides and fertilizers can result in differences of the weed flora.<br />

Organic farming system was established in the 1980s, to concern with<br />

the environment conserving, healthy food, and environmental friendly<br />

producing techniques. Thus, high yield or quantity is not the most deciding<br />

factor of organic farming productions, quality became the most important<br />

factor (Zalai et al., 2009). In organic maize farms, weeds are important yield<br />

loss factors. They compete with maize for light, water and nutrition reserve in<br />

the soil. Moreover, weeds are the intermediate hosts of crop pathogens which<br />

can decrease the income of production due to yield loss and lower quality.<br />

The most challenging aspect of organic crop production is to prevent<br />

weed infestation. If weeds are controlled mechanically, the abundance of<br />

summer annuals can increase (van Elsen, 2000). The presence of high weed<br />

densities in arable fields can cause significant loss of crop yield and quality<br />

(Christensen, 1993). The yield loss levels depend on weed species, densities<br />

and time of weed emergence compared to the maize crop. Weeds that emerge<br />

together with maize or shortly afterwards cause greater yield loss than weeds<br />

emerging later in the growth cycle of the crop. For example, common<br />

barnyard grass (Echinochloa crus-galli) density of 200 plants m2 reduced<br />

maize yield in the range from 26 to 35% when the emergence of barnyard<br />

grass seedlings occurred between the 1 and 2 leaf stage of maize growth<br />

(Bosnic and Swanton, 1997). The same density, however, resulted in only 6%<br />

yield loss when barnyard grass seedlings emerged after the 4 leaf stage of<br />

maize growth. Importance of time of weed emergence relative to the crop is<br />

very important and described by the critical period for weed control (Raj can,<br />

2001). The critical period is usually defined as growth stages being most<br />

vulnerable to weed competition. In practice, this is referred as the number of<br />

weeks after maize emergence during which the crop must be free of weeds to<br />

prevent yield losses above 5%. This usually ranges 1-8 weeks after crop<br />

emerges (Hall et al., 1992). As for weed densities, the competitive threshold<br />

is used. This is defined as the weed density above which crop yield is<br />

reduced beyond an acceptable amount (Rajcan, 2001). Percentage maize<br />

yield losses ranged from 5% to 34% for redroot pigweed (Amaranthus<br />

retroflexus L.) densities of 0.5-8 plants m'2 (Rajcan, 2001), whereas quack<br />

grass (Elytrigia repens L.) densities of 65, 390 and 745 shoots m'2 reduced<br />

maize yield by 12%, 16% and 37%, respectively. Ambrosia artemisiifolia can<br />

76


Weed composition and diversity of organic and conventional maize fields .<br />

cause considerable yield losses due to competing for light, nutrients and<br />

water reserves in soils. In field experiments, at plant densities 1 m"2, A.<br />

artemisiifolia can cause maize yield losses 0.235 ton ha'1and yield loss 42-54<br />

%, 62 % and 70-71 %, at a weed density of 9, 18 and 26 plants m'2,<br />

respectively (Varga et al. 2002). In another comparable experiment, A.<br />

artemisiifolia at densities of 1 and 2-10 plants m"2 caused 25%, 30-33% yield<br />

losses, respectively (Kazinczi et al., 2007). Abutilón theophrasti reduced the<br />

yield of maize by 31.6% compared with weed-free plots (Kazinczi et al.,<br />

1991). Experiments investigated the competition between Datura<br />

stramonium and maize under field conditions showed that weed densities of<br />

1, 2, 5 and 10 plants m'2, the yield decreased by 31%, 43%, 59% and 63%,<br />

respectively. Competition between Xanthium species and maize crops was<br />

also investigated. Xanthium italicum had the strongest competitive ability<br />

compared with other weed species. At weed densities of 1, 2, 5 and 10 plants<br />

m'2, it caused 87, 82, 96 and 94 % yield losses of maize compared to weedfree<br />

plots. Xanthium strumarium at weed densities of 5 and 10 plant m'2<br />

resulted in 62 and 64 % yield losses of maize (Novák, 2009).<br />

Many recent researches about weed flora of organic farms showed<br />

that organic farming system enhances biodiversity. The diversity of flora is<br />

higher in organic farms than in conventional ones (Kaar and Freyer, 2008).<br />

Using no chemical fertilizers and synthetic herbicides can result in changing<br />

weed composition and density. Organic cropping has been found to support<br />

populations of endangered weed species (Rydberg and Milberg, 2000);<br />

however, the use of herbicides was found to increase the abundance and<br />

number of broad-leaved weed species (Moreby et al., 1994). A lower rate of<br />

nitrogen fertilization was reported to be favourabel for non-nitrophilous<br />

species (Rydberg and Milberg, 2000) and legumes, while the composted<br />

manure has been favoured by nitrophilous species, Chenopodiaceae in<br />

particular (van Elsen, 2000). Weed abundance, species richness and diversity<br />

were lower in conventional fields, where weeds were controlled typically by<br />

herbicides, than in organic fields (Romero et al., 2005). In Hungary, several<br />

studies proved that number of weed species and their total cover were higher<br />

in organic farming systems than in conventional farming systems (Domer,<br />

2006; Zalai, 2011; Domer and Zalai, 2009).<br />

The specific weed community of a field is influenced not only by<br />

climate, soil conditions but also by agricultural technologies in both maize<br />

and previous crop. Therefore, different weed control strategies were needed<br />

to apply in different areas (Berea, 2004). Thus, simply copying of weed<br />

control strategies should not be advised for another area where different<br />

natural conditions and farming technologies can be found. For this reason,<br />

77


Domer et al<br />

different weed assessments are necessary in each farm to improve appropriate<br />

weed control strategies and effective weed control methods.<br />

M aterial and methods<br />

Study was carried out at Tamamenti farm and neighbouring area<br />

which had the same soil type and natural conditions but different agricultural<br />

technologies. Tamamenti farm is located in Jaszdozsa, Central Hungary. In<br />

the farm, there is 1700 ha arable land for plant cultivation such as winter<br />

wheat, spelled, winter barley, oats, winter peas, sunflower, oilseed rape,<br />

maize, oil pumpkin, alfalfa and grass ley. Soil type is chernozem. Weed<br />

control in organic fields were exclusively done by mechanic controls.<br />

Ploughing was done after harvest of previous crop, and followed by<br />

harrowing after 3 weeks. In studied conventional fields the cropping system<br />

was less diverse, conventionally crop rotation included only five annual<br />

crops: winter wheat, winter barley, maize, sunflower and oilseed rape. Weeds<br />

were controlled by soil tillage and herbicides (88 g ha'1tembotrion + 44 g ha"<br />

1izoxadifen-etil in 21 ha'1Laudis) used at 4-6 leaf stage.<br />

Weed assessments were made three times in 2011: first at 14 June,<br />

second at 27 July and the third at 9 September in each studied field. Method<br />

based on the evaluation of covering percentage was used, which has the<br />

advantage of being simple and quick (Zalai et al., 2012). In each assessment,<br />

sampling quadrates of lx l metre were placed randomly, and weed cover was<br />

assessed by visual estimation used the cover percentages of the weed species.<br />

Eight sample quadrates were recorded in each field. All sample quadrates<br />

were placed at least 2 meter distance from the field edges to avoid edge<br />

effects. Sampling was made in four maize fields: 2 organic fields and 2<br />

conventional fields. Total of 32 sample quadrates were assessed each<br />

sampling time, equalled as 96 sample quadrates for the entire study.<br />

All data including number of weed species and weed cover that were<br />

collected from three sampling times in both organic and conventional maize<br />

fields were used for the analyses. Statistical analyses were made by SPSS<br />

program (SPSS 12.0, SPSS Inc) with 95% confidence level. General linear<br />

model was fitted to investigate influence of farming systems and sampling<br />

times on weed cover. The interaction between farming system and sampling<br />

times was also analysed. To investigate diversity of weeds in fields,<br />

Shannon’s diversity index was used (Shannon, 1948; Fig. 1). It is based on<br />

the number of species and their relative abundance (here: relative cover).<br />

78


Weed composition and diversity of organic and conventional maize fields .<br />

H ' = -<br />

R<br />

i — 1<br />

Pi lo§ Pi<br />

Figure 1: The formula of Shannon’s diversity index (R: number of species;<br />

Pi: the proportion of the ith species of all species)<br />

Results and discussion<br />

There were differences between weed species occurred in organic<br />

fields and conventional fields. Echinochloa crus-galli was the most dominant<br />

weed of both organic and conventional fields. Ambrosia artemisiifolia cover<br />

ranked as the second in organic fields; however, this species was absent in<br />

conventional ones. Setaria pumila cover ranked as the fourth in organic<br />

fields, and as the second in conventional fields; although, these covers were<br />

quite close with 1.013% and 1.019% in conventional fields and organic ones,<br />

respectively. Convolvulus arvensis had the third rank of conventional fields,<br />

the eighth of organic fields; however, the cover in organic fields was higher<br />

than in conventional fields. Many weeds such as Ambrosia artemisiifolia,<br />

Persicaria lapathifolia, Datura stramonium, and Lathyrus tuberosus were<br />

recorded in organic fields but were absent in conventional fields (Table 1).<br />

The main reason for their absence could be the herbicide application which<br />

could eliminate non-tolerant species. Beside the different weed control<br />

practice, the weed flora could be also different because of the slightly<br />

different crop rotation of organic and conventional farms.<br />

Table 1. Dominance of weed species (measured by weed cover) between<br />

organic and conventional maize fields in Jaszsag Region, Hungary, 2011<br />

N<br />

u<br />

m<br />

be<br />

r<br />

Weed species<br />

Average<br />

cover in<br />

organic<br />

fields (%)<br />

Rank in<br />

organic<br />

fields<br />

Average<br />

cover in<br />

convention<br />

al fields<br />

(%)<br />

Rank in<br />

conventio<br />

nal fields<br />

1 Amaranthus albus 0.01 18 - NA*<br />

2<br />

Amaranthus<br />

retroflexus<br />

0.84 7 0.09 9<br />

3<br />

Ambrosia<br />

artemisiifolia<br />

5.27 2 - NA*<br />

4<br />

Chenopodium<br />

album<br />

1.20 3 0.49 5<br />

5 Chenopodium 0.02 16 0.34 7<br />

79


Domer et al.<br />

hybridum<br />

6 Cirsium arvense 0.97 5 0.48 6<br />

7<br />

Convolvulus<br />

arvensis<br />

0.71 8 0.65 3<br />

8 Datura stramonium 0.11 11 - NA*<br />

9<br />

Echinochloa crusgalli<br />

13.15 1 1.12 1<br />

10 Fallopia<br />

convolvulus<br />

0.02 15 - NA*<br />

11 Hibiscus trionum 0.96 6 0.62 4<br />

12 Lathyrus tuberosus 0.04 13 - NA*<br />

13 Persicaria<br />

lapathifolia<br />

0.42 9 - NA*<br />

14 Polygonum<br />

aviculare<br />

0.03 14 0.24 8<br />

15 Portulaca oleracea 0.01 18 - NA*<br />

16 Setaria pumila 1.02 4 1.01 2<br />

17 Solanum nigrum 0.01 17 - NA*<br />

18 Sonchus asper 0.05 12 - NA*<br />

19 Xanthium<br />

0.34 10 0.06 10<br />

strumarium<br />

NA*: These species were not present in t le farm.<br />

A significant interaction were found between farms and sampling<br />

times (F = 32.05, /K 0.001). The main effect of farms on weed cover was<br />

significant (F = 134.18, p


Weed composition and diversity of organic and conventional maize fields .<br />

In the first sampling, weed cover of organic fields was higher than of<br />

conventional field with 18.22 and 1.38%, respectively (Fig. 2); mean<br />

difference between them was significant (F=36.56, /?


Domer et al.<br />

50<br />

45<br />

40<br />

3? 35<br />

■ organic field<br />

□ coventional field<br />

1st sampling<br />

2nd sampling<br />

sampling time<br />

3rd sampling<br />

Figure 2. Weed cover of organic and conventional maize fields at three weed<br />

assessment time in Jaszsag region, Hungary, 2011<br />

The main effect of farms on diversity index was significant (F =<br />

12.42, p =0.001), but the main effect of sampling times on diversity index<br />

was not significant (F = 2.63, />=0.078). There was a significant interaction<br />

between farms and sampling times (F= 9.27,/?


Weed composition and diversity of organic and conventional maize fields .<br />

Table 3. Linear model of effect of farm systems and sampling times on<br />

Shannon diversity index<br />

Test of Between-Subjects Effects<br />

Dependent Variable: Shannon’s diversity index<br />

Source<br />

Type III<br />

Sum of<br />

Squares<br />

df<br />

Mean<br />

Square<br />

Corrected 0.816a 5 0.163 8.064 <<br />

Model 10.162 1 10.162 502.364 0.001<br />

Intercept 0.251 1 0.251 12.424 <<br />

Farm 0.107 2 0.053 2.632<br />

Time 0.375 2 0.188 9.271<br />

Farm*Time 1.659 82 0.020<br />

Error 13.026 88<br />

Total 2.474 87<br />

Corrected<br />

Total<br />

a. R Squared = 0.330 (Adjusted R Squared = 0.289)<br />

F<br />

Sig<br />

0.001<br />

0.001<br />

0.078<br />

<<br />

0.001<br />

Figure 3. Shannon diversity indexes of organic and conventional maize fields<br />

at three weed assessment time in Jaszsag region, Hungary, 2011<br />

83


Domer et al.<br />

Conclusions<br />

Sampling time had effect on weed cover but not on diversity index.<br />

Weed covers in organic fields were highest in the second sampling, and<br />

reduced in the third. It can be explained by the weed growth stages which got<br />

maximum cover at the same time of second sampling. By contrast, in<br />

conventional fields, weed germinated later and established highest cover at<br />

the end of growing season. Differences in diversity index between sampling<br />

times were not significant.<br />

There were many differences of presented weed species between<br />

organic fields and conventional fields. The most dominant weed of both<br />

organic and conventional fields was Echinochloa crus-galli. Ambrosia<br />

artemisiifolia ranked as the second cover of organic, but was not present in<br />

conventional ones. Setaria pumila ranked the fourth of organic fields but as<br />

the second in conventional fields. Many weeds such as Ambrosia<br />

artemisiifolia, Persicaria lapathifolia, Datura stramonium, and Lathyrus<br />

tuberosus were recorded in organic fields but were absent from conventional<br />

fields.<br />

Farming systems affected the weed flora in fields. Average total weed<br />

cover and diversity index of organic maize fields were higher than those in<br />

conventional fields. The effect of farms was significant both on weed cover<br />

(F= 134.18, p


Weed composition and diversity of organic and conventional maize fields .<br />

KAAR, B. & B. FREYER, 2008,: Weed species diversity and cover-abundance in organic<br />

and conventional winter cereal fields and 15 years ago. 16th IFOAM organic world<br />

congress, Modena, Italy. 16-20.<br />

KAZINCZI, G., I. BERES, K. HUNYADI, J. MIKULAS & E. POLOS, 1991: A<br />

selyemmalyva (Abutilon theophrasti Medic.) allelopatikus hatasanak es kompetitiv<br />

kepessegenek vizsgalata. Novenytermeles, 40, 321-331.<br />

KAZINCZI, G., I.BERES, P. VARGA, I. KOVACS & M. TORMA, 2007: Competition<br />

between crops and Ambrosia artemisiifolia L. in additive field experiments.<br />

Hungarian Weed Research and Technology, 8, 41-47. (In Hungarian with English<br />

abstract)<br />

MOREBY, S.J., N.J. AEBISCHER, S.E. SOUHWAY & N.W. SOTHHERTON, 1994: A<br />

comparison of the flora and arthropod fauna of organically and conventionally<br />

grown winter wheat in southern England. Ann. Appl. Biol. 125,13-27.<br />

NOVAK, R., I. DANCZA, L. SZENTEY & J. KARAMAN, 2009: Arable weeds of Hungary<br />

fifth national weed survey (2007-2008). Ministry of Agriculture and Rural<br />

Development, Budapest, Hungary. 95 p.<br />

RAJCAN, I. & C.J. SWANTON, 2001: Understanding maize-weed competition: resource<br />

competition, light quality and the whole plant. Field Crop Research, 71,139-150.<br />

RYDBERG, N. T. & P. MILBERG, 2000: A survey of weeds in organic farming in Sweden.<br />

Biol. Agric. Hortic. 18,175-185.<br />

SHANNON, C.E., 1948: A mathematical theory of communication. The Bell Systems<br />

Technical Journal, 27, 379-423 and 623-656.<br />

VAN ELSEN, T., 2000: Species diversity as a task for organic agriculture in Europe. Agric.<br />

Ecosyst. Environ. 77,101-109.<br />

VARGA, P., I. BERES & P. REISINGER, 2002: The effect of weeds on the yield of maize<br />

in arable land experiments. Hungarian Weed Research and Technology, 1, 45-52.<br />

(In Hungarian with English abstract)<br />

ZALAI, M., 2011: Weed flora analysis of organic farming in Feher-Koros Region. PhD<br />

thesis. Crop Science PhD School of Szent Istvan University, Godollo, Hungary. 144<br />

P-<br />

ZALAI, M., L.T. JUHASZ, E. RABOCZKI, & Z. DORNER, 2009: Differences between<br />

ecological farms in weed flora and diversity in Hungary. Herbologia. 10 (1), 49-58.<br />

ZALAI, M., Z. DORNER, L. KOLOZSVARI, ZS. KERESZTES & M. SZALAI, 2012:<br />

What does the precision of weed sampling of maize fields depends on?<br />

Novenyvedelem, 48,451-456. (In Hungarian with English abstract)<br />

85


Domer et al<br />

86


Herbologia, Vol. 13, No. 2, 2012<br />

Instruction to Authors in International Journal Herbologia<br />

One copy of manuscript in English should be submitted by e-mail or<br />

as a hard (paper) copy and a compact disc.<br />

Manuscripts should be computer typed in MS Word, single spaced,<br />

on the page (paper) format of B5, font of Times New Roman, font size 12<br />

(address of the autors, keywords and list of references with font size 10). The<br />

text lines should be justified. The length of the paper can be up to eight<br />

pages.<br />

The paper should start with the title of the article, the names of each<br />

author, his/her institution, address and e-mail address.<br />

Abstract would not exceed 300 words or 20 lines. Keywords, up to<br />

two lines long, should be listed below the abstract.<br />

Main text includes intruduction, materials and methods, results and<br />

discussion. Footnotes should be avoided. SI units should be used. Reference<br />

list should be ordered alphabetically. Examples: AUTHOR, X.Y. & Z.Q.<br />

AUTHOR, 2001: Title of article, Journal title in Italics, 12, 78-84. Or:<br />

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common English names are used, but the scientific name can be given in<br />

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Both British and American forms of common names can be used (e.g. com<br />

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herbicides and other chemicals, in Materials and methods, one should state<br />

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Herbologia, Vol. 13, No. 2, 2012<br />

Referees of the papers in the Herbologia Vol. 13, No. 2/2012.<br />

Mirha Đikić, Sarajevo, B&H<br />

Drena Gadžo, Sarajevo, B&H<br />

Gabriella Kazinczi, Kaposvar, Hungary<br />

Mira Knežević, Osijek, Croatia<br />

Vaclav Kohout, Prague, Czech Republic<br />

Senka Milanova, Kostinbrod, Bulgaria<br />

Ljiljana Nikolić, Novi Sad, Serbia<br />

Milena Simić, Belgrade, Serbia<br />

Stefan Tyr, Nitra, Slovakia

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