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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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germination and growth of horse purslane. Pak. J. Bot., 43(4): 2113-2114.<br />
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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 />
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Biometrical Approach. Second ed.McGraw Hill Book Co. Inc. New York, USA.<br />
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Parthenium hysterophorus L., in Asutralia. Plant Protec., 11: 20-23.<br />
TEFERA, T. 2002: Allelopathic effects of Parthenium hysterophorus extracts on seed<br />
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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 />
reception and persistence of metribuzin. Weed Science, 30:164—168.<br />
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 />
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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 />
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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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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 />
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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 />
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KNEŽEVIĆ, A., 1980: Slatinska vegetacija stepsko-livadskog karaktera u okolini Kruščića.<br />
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KNEŽEVIĆ, A., S. STOJANOVIĆ, LJ. NIKOLIĆ, D. DŽIGURSKI, B. LJEVNAIĆ-<br />
MAŠIĆ, B. ĆUPINA, M. BELIĆ, 2009: Produktivnost biljnog pokrivača<br />
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(syn. Eruca sativa Miller) (Brassicaceae Bum., Capparidales). Acta Biologica<br />
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KNEŽEVIĆ, A., D. DŽIGURSKI, B. LJEVNAIĆ-MAŠIĆ, D. MILIĆ, 2012: Ecological<br />
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1-262.<br />
LJEVNAIĆ-MAŠIĆ, B„ A., KNEŽEVIĆ, D„ DŽIGURSKI, S., STOJANOVIĆ, 2011:<br />
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sativa L. subsp. secalina Alef. (Asterales, Asteraceae). Journal on Processing and<br />
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Matice srpske za prirodne nauke, 58, 81-99. Novi Sad.<br />
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Eurobit. Timisoara.<br />
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Great Hungarian Plain: questions of coenology, nomenclature and syntaxonomy.<br />
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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
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86
Herbologia, Vol. 13, No. 2, 2012<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