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UDK 63/66 ISSN 1840-0809<br />
HERBOLOGIA<br />
An International Journal on Weed Research and Control<br />
Vol. 9, No. 2, October 2008
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 />
Vladimir Borona (Ukraine)<br />
Daniela Chodova (Czech Republic)<br />
Mirha Đikić (B&H)<br />
Azra Hadžić (B&H)<br />
Gabriella Kazinczi (Hungary)<br />
Senka Milanova (Bulgaria)<br />
Ševal Muminović (B&H)<br />
Shamsher S. Narwal (India)<br />
Zvonimir Ostojić (Croatia)<br />
Danijela Petrović (B&H)<br />
Lidija Stefanović (Serbia)<br />
Taib Šarić (B&H)<br />
Dubravka Šoljan (B&H)<br />
Štefan Týr (Slovakia)<br />
Editor-in-Chief: Prof. Dr. Taib Šarić<br />
Technical Editor: Dr. Mirha Đikić<br />
Address of the Editorial Board and Administration:<br />
Herbološko društvo BiH (Faculty of Agriculture)<br />
71.000 Sarajevo, Zmaja od Bosne 8, Bosnia and Herzegovina<br />
Phone: ++387 33 653 033, Fax: ++387 33 667 429<br />
E-mail: tsaric@bih.net.ba<br />
Published four times a year<br />
The price of a copy of the Journal: 15 €<br />
Papers published in the Herbologia are abstracted and indexed in the<br />
CAB International’s journal Weed Abstracts<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 FOJNICA, d.o.o. Fojnica<br />
The printing of this journal was financially supported by the Federal Ministry of Environment and<br />
Tourism of B&H and the Cantonal Ministry of Education and Science, Sarajevo
CONTENTS<br />
Page<br />
1. R. Nakova: Cirsium arvense (L.) Scop. competition with<br />
winter wheat…………………………………………………….......... 1<br />
2. Z. Kovačević, D. Petrović N. Herceg: The summer aspect<br />
of weed flora in the vineyards of Herzegovina..................................... 9<br />
3. G. Hassan, I. Khan, N. Khan : Distribution of weed flora in<br />
chickpea crop in district Dera Ismail Khan, Pakistan....................... 21<br />
4. A. Knežević, S. Stojanović, Lj. Nikolić, B. Ljevnaić, D. Džigurski,<br />
D. Milošev: Ecological and plant-geographic analysis of the weed<br />
flora in organic production of brassicas …………………………... 29<br />
5. B. Konstantinović, M. Meseldžija, N. Mandić: Distribution of<br />
Asclepias syriaca L. on the territory of Vojvodina and possibilities<br />
of its control………………………………………………………….39<br />
6. A. Aleksieva, P. Marinov-Serafimov: A study of allelopathic<br />
effect of Amaranthus retroflexus (L.) and Solanum nigrum (L.)<br />
in different soybean genotypes…………………………………...... 47<br />
7. M. Đikić, D. Gadžo, T. Šarić, T. Gavrić, Š. Muminović:<br />
Investigation of allelopathic potential of buckwheat.......................... 59<br />
8. M. Knežević, B. Stipešević, Lj. Ranogajec, I. Knežević: Long-term<br />
effects of soil tillage on weed populations in winter wheat ………... 73<br />
9. S. Maneva, S. Deneva Milanova: Possibilities of reduced doses of<br />
post-emergent <strong>herb</strong>icides: preliminary results……………………… 87<br />
10. Ts. Dimitrova, P. Marinov-Serafimov: Chemical weed control<br />
in stands of red clover: (Trifolium repens L.) in the year of their<br />
establishment……………………………………………………….. 95<br />
Instruction to Authors in Herbologia………………………………… 101
Herbologia Vol. 9, No. 2, 2008.<br />
CIRSIUM ARVENSE (L.) Scop. COMPETITION WITH WINTER<br />
WHEAT<br />
Ralitsa Nakova<br />
Plant Protection Institute, 2230 Kostinbrod, Bulgaria<br />
ralitsa_n@abv.bg<br />
Abstract<br />
Field experiment was conducted in the Plant Protection Institute,<br />
Kostinbrod, Bulgaria to evaluate the competitive effect of Cirsium<br />
arvense density on wheat yield and its components. Treatments consisted<br />
of five C. arvense densities (D 1 0, D 2 2, D 3 4, D 4 6, D 5 8 plants/m 2 ). The<br />
data were recorded on wheat: density m -2 , plant height, spike length,<br />
spikelets spike -1 , number of grains spike -1 , grain weight spike -1 ,1000<br />
grain weight. The effect on wheat grain yield was established. Increased<br />
weed density decreased wheat yield and its components. Regression<br />
analysis of the data showed that all wheat studied parameters were<br />
significantly negatively affected by C .arvense densities. The major yield<br />
component influenced by C. arvense competition was wheat density per<br />
unit area, with grain weight spike -1 . Grain yield losses of approximately<br />
30% are expected in patches with 8 C .arvense shoots m -2 . The<br />
relationship between C. arvense density and wheat yield and its<br />
components was dependent of weed density, inter-specific competition<br />
and weather in the year. The coefficients of determination (R 2 ) were very<br />
high, ranging from 0.89 to 1. The regression models give grain yield loss<br />
estimates at commonly occurring shoot density of C. arvense and may<br />
have practical application by predicting wheat yield in crop production<br />
systems.<br />
Keywords: wheat, C. arvense (L.) Scop, grain yield, yield components, density,<br />
regression models<br />
Introduction<br />
C. arvense is recognized as a very competitive perennial weed in<br />
cereals in Bulgaria and causes large economic losses in these crops. On<br />
average C.arvense occurred in approximately 40% of all winter wheat<br />
fields in Bulgaria. The competitive effect of this weed on wheat has not<br />
document in Bulgaria. In the contemporary investigations the effect of<br />
weed density was studied in the many weeds. Walia and Manpreet (2005)<br />
have studied the effect of increasing densities of Avena ludoviciana L.(0,
Ralitsa Nakova<br />
1, 2, 3, 4, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80 and 100 plants/m 2 ) and<br />
Rumex spinosos L. population (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25<br />
and 30 plants/m 2 ) on wheat yield. Grain yield decreased with increasing<br />
weeds intensity. The effects of Avena fatua L.(0, 5, 10, 15, 20, 25, 30<br />
seeds m -2 ) on wheat yield and its components are evaluate. Most of the<br />
parameters were significantly affected by wild oat density. The greatest<br />
number of spike m -2 (282), spike length (9.3 cm), number of grains per<br />
spike (50), and 1000 grain weight (30.26) were recorded for wheat<br />
monoculture (no wild oat plant) (Khan and Hassan, 2006). The density of<br />
wheat decreased with the increase in wild oat density. Only 150 wheat<br />
plants/m -2 were recorded under a wild oat density of 50 plants/m -2 ,<br />
compared to 262 plants/m -2 in wheat monoculture. The height of wheat<br />
plants was also affected by more than 50% at the highest density of wild<br />
oats (Hassan and Yousafzai, 2006). An increase in Avena fatua L. and<br />
Papaver rhoeas L. density of 5 to 30 plants/m -2 decrease the wheat<br />
growth parameters and yield (Nakova, 2003 a , 2003 b ). In a competitive<br />
situation the density of Galium aparine L. is a major factor governing<br />
growth, development and grain yield of wheat. The period of weed<br />
competition begin in level of G. aparine L.- 15 plants/m 2 . An increase<br />
clever density from 15 to 25 plants/m 2 , significantly decreased the level<br />
of height, fresh weight, dry weight, leaf area of wheat plants and also<br />
wheat grain yield. The study show strategies for weed control in wheat<br />
using thresholds based on weed density (Nakova, 2007). Wheat yield and<br />
percentage loss varied depending on density of mayweed<br />
(Tripleurospermum inodorum L.). Wheat yield reduction was 18, 21,<br />
35% for mayweed densities of 20, 40, 60 plants/m -2 , respectively.<br />
Increasing weed density decreased weight of 1000 grains from 51 to 44 g<br />
and volumetric grain weight from 78 to 68 kg/hl (Ionescu, 2007). Maneva<br />
(2007) investigated the competitive relationship between wheat and two<br />
weed species, Viola arvensis L. in densities of (0, 1, 3, 5, 6, 7, 8, 9, 10,<br />
14, 15, 16, 19, 22, 25, 27, 36, 40, 44, 47, 55, 60, 71, 75, 77 plants per m -2<br />
) and Delphinium consolida L.in densities of ( 0, 1, 2, 3, 8, 10, 15, 19, 21,<br />
29, 32, 33, 25, 40, 42, 48, 50, 51, 58, 64, 72, 96 plants per m 2 ) in field<br />
condition. The reduction of the all observed morphological parameters of<br />
the productiveness (MMP) – wheat spike m -2 , wheat spike length,<br />
spikelest spike -1 , number of grains spike, grain weight spike -1 and grain<br />
yield, presented as an Index of depression (ID) was stronger for the V.<br />
arvensis L .than for D. consolida L. The wheat spike m -2 showed the<br />
stronger decreasing (45% of the respective control) for both weed<br />
species. Increasing the weed density of D. consolida L. could reduce the<br />
grain weight spike -1 with 45%. The number of spikelest spike -1 was the<br />
2
Cirsium arvense (L) Scop. competition with winter wheat<br />
less affected of the weed competition (nearly 4 and 25%) for D.<br />
consolida L .and V. arvensis L., respectively. Amini et al. (2005)<br />
established competition between wheat and Secale cereale L. The<br />
morphological productive parameters decreased with increase in weed<br />
intensity. Multispecies competition effects of weeds (Chenopodium<br />
album L., Stelaria holostema L., Fumaria spp., Poligonum aviculare L.,<br />
Convolvulus spp. on wheat was determined (Ghanbari et al., 2005,<br />
Masaheri et al,. 2005). Authors found the effects of vary density in the<br />
term of wheat grain yield. Wheat yield components were considered as a<br />
index for effect of weed competition on wheat grain yield. The studies of<br />
Stoimenova and Alexieva (2003) and Serafimov (2005) showed<br />
predicting yield loss using weed density data or weed dry biomass.<br />
The aim of the study was to evaluate the competitive effect of C.<br />
arvense density on wheat grain yield and its components.<br />
Material and methods<br />
Field study was conducted at Plant Protection Institute, Kostinbrod<br />
during 2006-2007 on fine sandy loam soil. The experimental design was<br />
a randomized complete block with four replicates. Treatments consisted<br />
of five C. arvense densities ( D 1 0, D 2 2, D 3 4, D 4 6, D 5 8 plants/m 2 ). Plot<br />
size was 10 m 2 (1m wide x 10m length). Seeds of C. arvense was not<br />
planted as there were sufficient natural soil reserves of seed of this<br />
species. The seed of Sadovo 1 wheat variety were sown at 200 kg/ha in<br />
October 2006. All the recommended cultural practices were carried out<br />
uniformly in all treatments during the experiment expect for variables<br />
intended for studies. The number m 2 of C. arvense plants for each variant<br />
present at harvest were determined. All other weeds were removed<br />
manually through the wheat season on weekly basis. Nitrogen fertilizer<br />
was applied to the plots in the spring of 2007. The conventional fertilizer<br />
was ammonium nitrate, which was applied at the rate 200 kg/ha -1 . The<br />
experiment was harvested in the late July 2007.<br />
3
Ralitsa Nakova<br />
Table 1. Weather data on experimental site during 2006-2007<br />
Total<br />
Maximum Minimum<br />
Month/Year<br />
rainfall<br />
temperature temperature<br />
(mm)<br />
(average) (average)<br />
November, 2006<br />
December, 2006<br />
January, 2007<br />
February, 2007<br />
March, 2007<br />
April, 2007<br />
May, 2007<br />
June, 2007<br />
July, 2007<br />
18.8<br />
7.9<br />
18.7<br />
17.0<br />
19.8<br />
24.5<br />
30.2<br />
30.6<br />
32.0<br />
Average: 22.1<br />
-8.0<br />
-2.8<br />
-9.3<br />
-9.4<br />
-6.1<br />
-3.4<br />
2.2<br />
7.1<br />
6.4<br />
Average: -6.0<br />
10<br />
16<br />
19<br />
27<br />
21<br />
11<br />
150<br />
37<br />
7<br />
Total: 298<br />
The data were recorded on wheat: density m -2 , wheat plant height,<br />
wheat spike length, spikelets spike -1 , number of grains spike -1 , grain<br />
weight spike -1 , 1000 grain weight. These yield components were<br />
determined on 100 wheat plants from every repetition in all treatments.<br />
Grain yield (kg/ha) by variants and replication was established.<br />
Linear regression analysis of data was done using Microsoft Exel.<br />
The interdependence between the densities of C. arvense, grain yield and<br />
its studied components was summarized by the coefficient of<br />
determination (R 2 ). The regression models was characterized by the<br />
equation y= bx+a, where y is the studied parameters, b is the<br />
proportionality (regression coefficient), a is the initial value of y at x=0.<br />
The regression line graphically depicts the relations.<br />
Results and discussion<br />
The data (Table 1) showed that the weather data (temperature and<br />
precipitation) of experimental site have negatively effect on wheat grain<br />
yield. The weather during infestation period was cold and dry. This<br />
significant increased adverse effects of C. arvense on wheat yield and its<br />
components. However the negatively influence of yield losses were<br />
density dependent.<br />
The data (Table 2) exhibit that mean wheat density of 253, 226, and<br />
205 numbers/m -2 were obtained for the 0, 4 and 8 weed densities,<br />
respectively. Between the densities, maximum wheat plant height was<br />
4
Cirsium arvense (L) Scop. competition with winter wheat<br />
establishes (60 cm) in 0 plants/m 2 (control variant), while minimum (55<br />
cm) was recorded in 8 plants C .arvense m -2 . The results from effect of<br />
different densities on spike length were unidirectional with these<br />
presented for wheat height. The yield components spikelets spike -1 and<br />
number of grains spike -1 were significantly affected at highest weed<br />
density. Results showed that C. arvense densities m -2 from 2 to 8 have<br />
strong negative effect on grain weight spike -1 . The reduction was from<br />
0.2 to 0.7 g for 2 and 8 weed population, respectively. 1000 grain weight<br />
was also decreased by increasing weed density. The reduction in wheat<br />
yield components closely paralleled the reduction in grain yield. Data<br />
exhibit that for the C .arvense densities wheat grain yield was highest at<br />
0 weed plants/m 2 and least at 8 C. arvense plants/m -2 . The coefficients of<br />
determination (R 2 ) between weed density and wheat grain yield and its<br />
components were very high, ranging from 0.89 to 1 (Fig. 1).<br />
Variants<br />
( Densities<br />
C.arvense<br />
plants/m 2 )<br />
Table 2. Effect of C. arvense density on wheat yield and its components<br />
Wheat<br />
density<br />
m -2<br />
Wheat<br />
plant<br />
height,<br />
cm<br />
Wheat<br />
spike<br />
length,<br />
cm<br />
Number<br />
of<br />
grains<br />
spike -1<br />
Spikelets<br />
spike -1<br />
Grain<br />
weight<br />
spike -1 ,<br />
g<br />
1000-<br />
grain<br />
weight,<br />
g<br />
Grain<br />
yield,<br />
kg/ha -1<br />
0 253 60 6.1 7 40 1.3 40.6 1830<br />
2 245 59 5.9 7 39 1.1 40.1 1720<br />
4 226 58 5.8 6 38 0.8 38.5 1690<br />
6 221 56 5.0 6 37 0.7 37.9 1500<br />
8 205 55 4.8 5 36 0.6 37.0 1300<br />
Wheat density, m -2<br />
300<br />
250<br />
200<br />
150<br />
100<br />
50<br />
0<br />
y = -6x + 254<br />
R 2 = 0.9756<br />
0 2 4 6 8 10<br />
Wheat plant height, cm<br />
65<br />
60<br />
55<br />
50<br />
y = -0.65x + 60.2<br />
R 2 = 0.9826<br />
0 2 4 6 8 10<br />
Density of C.arvense (plants/m -2 )<br />
Density of C.arvense (plants/m -2 )<br />
5
Ralitsa Nakova<br />
Wfeat spike lenght,cm<br />
9<br />
6<br />
3<br />
0<br />
y = -0.175x + 6.22<br />
R 2 = 0.9088<br />
0 2 4 6 8 10<br />
Spikelets spike-1<br />
8<br />
6<br />
4<br />
2<br />
0<br />
y = -0.25x + 7.2<br />
R 2 = 0.8929<br />
0 2 4 6 8 10<br />
Density of C.arvense (plants/m -2 )<br />
Density of C.arvense (plants/m -2 )<br />
Number of grains spike -1<br />
42<br />
40<br />
38<br />
36<br />
34<br />
y = -0.5x + 40<br />
R 2 = 1<br />
0 2 4 6 8 10<br />
Density of C.arvense (plants/m -2 )<br />
Grain weight (g) spike -1<br />
1,5<br />
1<br />
0,5<br />
0<br />
y = -0.09x + 1.26<br />
R 2 = 0.9529<br />
0 2 4 6 8 10<br />
Density of C.arvens e(plants/m -2 )<br />
1000 grain weight,g<br />
42<br />
40<br />
38<br />
36<br />
y = -0.47x + 40.7<br />
R 2 = 0.9744<br />
0 2 4 6 8 10<br />
Grain yield (kg/ha -1 )<br />
2000<br />
1600<br />
1200<br />
800<br />
400<br />
0<br />
y = -64x + 1864<br />
R 2 = 0.9358<br />
0 2 4 6 8 10<br />
Density of C.arvense (plants/m -2 )<br />
Density of C.arvense (plants/m -2 )<br />
Fig.1 Relationship between C.arvense density and wheat yield and its<br />
components<br />
Analysis of data indicated that C.arvense has a strong competitive<br />
effect on wheat. Increasing the proportion of weed plant wheat density<br />
decrease. The magnitude of wheat density losses were C.arvense density<br />
depend. The reason could be the higher inter-specific competition among<br />
two species, which started early at higher weed densities. These results<br />
were strongly supported by Donald and Khan (1996). They reported that<br />
increasing Canada thistle density decreased wheat density. Canada thistle<br />
also reduced spikes plant -1 and seed spike -1 to varying extends depending<br />
on year. Wheat plant height and spike length at maturity were also<br />
6
Cirsium arvense (L) Scop. competition with winter wheat<br />
affected from weed densities. Increasing C.arvense density decreased<br />
values of these studied parameters. The reduction of the yield<br />
components- spikelets spike -1 and number of grains spike -1 resulted in the<br />
reduction of grain yield. Grain weight spike -1 was significantly affected<br />
by C.arvense density. Our results depict that weight was directly<br />
proportional to the weed density. Under the lesser densities of weed the<br />
wheat was able to make better use of soil and environmental resources,<br />
resulting in bolder grains. Analysis of data showed that grain yield of<br />
wheat was negatively affected by increasing C.arvense densities. Various<br />
yield reduction in wheat due to C.arvense competition have been<br />
reported in the literature. Reported yield losses range from 1-61%,<br />
corresponding to C.arvense densities of 2–30 shoots m -2 (Hogson, 1968,<br />
Peschken et al., 1980).<br />
Regression analysis of data showed that wheat grain yield and its<br />
components were linearly affected by C.arvense densities. The<br />
regression models accurately and realistically describe the percentage<br />
reduction in wheat yield and its components. These data indicate that the<br />
type of model proposed by Cousens (1985) can by extended to indicate<br />
competition between crops and perennial weeds under dry conditions.<br />
The effect of C.arvense density on wheat density, plant height, spike<br />
length, spikelests spike, number of grains spike, grain weight spike, 1000<br />
grain weight and grain yield was predicted by the equations. Our<br />
conclusions are in line with the work of O` Sullivan et al. (1982), who<br />
have confirmed that yield losses of 18 to 52% were predicted from<br />
C.arvense shoots densities of 5 to 45 shoots m -2 , respectively. The<br />
regression lines show the dependence on studied parameters when there<br />
is no influence of another factors. The observed values for the studied<br />
variables fit regression line very closely or in some instance exactly. The<br />
slopes indicated that increasing weed density, decreased the grain yield<br />
and its components, which showed that inter-specific competition was<br />
established. The regression models may have practical application, such<br />
as prediction of wheat grain yield in crop production systems in an<br />
integrated weed management program.<br />
Thus it can be concluded from the results that C.arvense competition<br />
reduced wheat grain yield, primarily through a reduction in the wheat<br />
density (number spikes per unit area) and grain weight spike -1 . In areas<br />
where C.arvense is abundant, it represents a serious impediment to wheat<br />
production.<br />
7
Ralitsa Nakova<br />
References<br />
AMINI, R., F. SHARI., M. BAGASTANI., D. MAZAHERI., A. ATRI,<br />
(2005):Investigation on competition between weed and Secale cereale. 13 th<br />
EWRS Symposium, Bari, Italy, on CD.<br />
COUSENS, R, (1985): A simple model relating yield loss to weed density. Annals of<br />
Applied Biology, 107: 239-252.<br />
DONALD, W., M. KHAN, (1996): Canada thistle (Cirsium arvense) effects on yield<br />
components of spring wheat( Triticum aestivum). Weed Science, 44, 1:114-<br />
121.<br />
GANBARI, A., D. MAZAHERI., M. GHANNADHA., J. GHEREKHLOO, (2005):<br />
Evaluations of multispecies weed competition in wheat. 13 th EWRS<br />
Symposium, Bari, Italy, on CD.<br />
HASSAN, G., H.YOUSAFZAI, (2006): Effect of wild oat (A.fatua) density on wheat<br />
yield and its components under various nitrogen regimes. Herbologia, 7, 2: 71-<br />
83.<br />
HOGSON, J, (1968): The Nature, Ecology and Control of Canada Thistle. US<br />
Departament of Agriculture Technical Bulletin, №6, 1386: pp32.<br />
IONESCU, N, (2007): Influence of emergence time and density of mayweed<br />
(Tripleurospermum inodorum Sch (Bip) on winter wheat (Triticum aestivum<br />
L.). 14 th EWRS Sym posium Hamar, Horway: pp.95.<br />
KHAN, M., G. HASSAN, (2006): Effect of wild oats (A.fatua) densities and<br />
pproportions on yield and yield components of wheat. Pakistan Journal of<br />
Weed Science Research 12, ½: 69-77.<br />
MANEVA, S, (2007): Doktoral thesis, Kostinbrod: p. 170-172.<br />
MASAHERI, D., J. GHEREKHLOO., A. GHANBARI., M. GHANNADHA, (2005):<br />
Multispecies competition effects of weeds on wheat. 13 th EWRS Symposium,<br />
Bari, Italy, on CD.<br />
NAKOVA, R, (2003 a ): Study of the competition between wheat and Avena fatua L.<br />
Bulgarian Journal of Agricultural Science, 9: 335-338.<br />
NAKOVA, R (2003 b ): Study of the competition between wheat and Papaver rhoeas L.<br />
7 th Mediterranean Symposium EWRS. Adana, Turkey: 125-126.<br />
NAKOVA, R, (2007): Investigation on competition betwee wheat and Galium aparine<br />
L. Plant Science, 44,: 217-221.<br />
O` SULLIVAN, P., V. KOSSATZ., G. WEISS., P. DEW, (1982):An approach to<br />
estimate yield loss of barleydue to Canada thistle. Canadian Journal of Plant<br />
Science, 62: 725- 731.<br />
PESHKEN, D., J. HUNTER., A. THOMAS, (1980): Damage in dollars caused by<br />
Canada thistle in wheat in Saskatchewan. Procceding of the Canada Thistle<br />
Symposium, Agriculture Canada, Regina: pp 34-43.<br />
SERAFIMOV, P, (2005): Doctoral thesis, Plovdiv: p. 159-164.<br />
STOIMENOVA, I., S. ALEXIEVA, (2003): Predicting yield loss due to investigation to<br />
from weed flora usin weed density data or weed dry biomass. 7 th Mediterranean<br />
Symposium EWRS. Adana, Turkey: 135-136.<br />
WALIA, U., S. MANPRET, (2003): Studies on the threshold values of Avena<br />
ludoviciana L. and Rumex Spinosus L.in wheat. Indian Journal of Weed<br />
Science, 37, ½ :91-92.<br />
8
Herbologia Vol. 9, No. 2, 2008.<br />
THE SUMMER ASPECT OF WEED FLORA IN THE VINEYARDS<br />
OF HERZEGOVINA<br />
Zlatan Kovačević, Faculty of Agriculture, University in Banja Luka,<br />
Danijela Petrović, Nevenko Herceg, Faculty of Agriculture, University in<br />
Mostar<br />
e-mail: danijelapetrovic@net.hr<br />
Abstract<br />
The paper presents the review of weed flora in the Herzegovina<br />
vineyard region in the summer aspect. The researched area includes the<br />
following municipalities: Trebinje, Stolac, Počitelj, Mostar, Čitluk,<br />
Grude, Široki Brijeg, and Ljubuški. The flora was studied from the<br />
aspects of taxonomic diversity, biological spectrum and the spectrum of<br />
areal types. During the floristic research, 69 weed species were<br />
registered. By the taxonomic analysis, it was established that all<br />
registered weed species belonged to the section of Spermatophyta (59<br />
species belong to the class Magnoliate and 10 species to the class<br />
Liliate). The flora is distributed in 28 families. The biological spectrum<br />
of weed flora has outstanding therophyto-hemicryptophytic character (56<br />
species or 81.2%). By the phytogeographycal analysis, domination of the<br />
species from the group of floral elements with wide area of spreading<br />
was registered (euroasian, circumpolar and cosmopolitan, adventive and<br />
pontic-centralasian). This group includes 52 plant species or 75.4%.<br />
Keywords: weed flora, life forms, floral elements.<br />
Introduction<br />
In 1984, areas under grapevine in Socialist Federative Republic of<br />
Yugoslavia (SFRJ) were around 238.000 ha, so it took the 7th place in<br />
Europe and 11th place in the World. Socialistic Republic (SR) Bosnia<br />
and Herzegovina participated with about 5.367 ha (Avramov, 1991). The<br />
largest part of these areas is located in Herzegovina, where production<br />
and processing of grape have has long lasting tradition (Lučić et al.,<br />
1997). In the frames of Bosnia and Herzegovina (B&H), districting of<br />
viticulture of ex Yugoslavia has defined two vineyard regions:<br />
Herzegovina region and the north Bosnia region. In the frame of<br />
Herzegovina region, subregion of central Neretva and Trebišnjica has
Z. Kovačević et al.<br />
been defined and within this subregion Mostar vineyard region (Tarailo,<br />
2001).<br />
Vineyards are perennial agrophytocenosis where cultivated plant<br />
(grapevine) is agroedificator. Its edificators' role is expressed only under<br />
the human influence, so it can’t perform edificators' function in natural<br />
plant associations (Čanak and Parabućski Stanija, 1976). As all<br />
agroecosystems, vineyards are unstable creations. Weeds regularly<br />
appear as factors of vineyards agrophytocenosis. They enter in<br />
competitive relationships with agroedificator, causing blight. Grapevine<br />
is very sensitive on harmful influence of weeds in the period of vineyard<br />
establishment, as well as in later period, during vineyard exploitation<br />
(Kojić and Šinžar, 1985).<br />
Research of weed flora in B&H are very poor. Significant<br />
contribution in recognizing of this problem was presented in papers<br />
Šumatić, 1997 and Kojić et al., 2005. There have been no research of<br />
vineyards weed flora and vegetation in B&H till now. Nevertheless,<br />
certain number of authors gave significant contribution to understanding<br />
the characteristics of weed sinuous in vineyards. On the one side, those<br />
papers concern the state and perspective of viticulture and general<br />
questiones about characteristics of weed sinuous in vineyards (Čanak and<br />
Parabućski Stanija, 1976, Lučić et al., 1997, Tarailo, 2001). On the other<br />
side, floristic-phytocenotic researches of vineyards have been performed,<br />
frequently connected with seasonal dynamics of weed sinuous<br />
(Živanović, 1988, Crnčević et al., 1992, Šinžar and Živanović, 1976,<br />
1992, 1993, Živanović, 1988, Živanović et al., 1999, Stanković et al.<br />
1976, Anđelić, 1976, Grković, 1987, Hulina, 1979, Parabućski and<br />
Čanak, 1973, Šefik, 1983, Komić, 1983).<br />
The paper presents the review of weed species in Herzegovina<br />
region in summer aspect, with detailed taxonomic analysis, biological<br />
spectrum and phytogeographical analysis.<br />
Material and methods<br />
The floristic research was performed in summer aspect in 2006, in<br />
vineyard region of Herzegovina, which includes the following<br />
communities: Trebinje, Stolac, Počitelj, Mostar, Čitluk, Grude, Široki<br />
Brijeg and Ljubuški.<br />
Plant material was determined according to the papers: Flora SR<br />
Srbije I-IX (Josifović i dr., 1970-1977), Flora Hrvatske (Domac, 1994),<br />
Flora Italiana (Fiori, 1921) and Ikonographie der Flora des Südöstlichen<br />
Mitteleuropa (Javorka, 1979).<br />
10
The summer aspect of weed flora in the vineyards of Herzegovina<br />
Taxonomy and nomenclature are given according to publication Flora<br />
Europaea 1-5 (Tutin, T. G. ed., 1964-1980).<br />
As part of analytic phase, floristic analysis of the defined taxons<br />
includes: analysis of life forms and analysis of floral elements.<br />
Life forms of plants are given according to Kojić and others<br />
(1994). Floral elements are given according to Gajić (1980).<br />
Results and discussion<br />
During the floristic research of weed flora in vineyard region<br />
Herzegovina, 69 species have been registered and determined in summer<br />
aspect. Table 1. shows the review, biological spectrum and the spectrum<br />
of areal types of registered weed species.<br />
Table 1. The summer aspect of weed flora in the vineyards of<br />
Herzegovina.<br />
Weed species<br />
Life<br />
form<br />
Floral element<br />
Allium vineale L. g Centraleuropean<br />
Amaranthus retroflexus L. t Adventive<br />
Anthemis arvensis L. t Subcentraleuropean<br />
Aristolochia clematitis L. g Submediterranean<br />
Avena barbata Pott. ex<br />
Link.<br />
t Adventive<br />
Berteroa mutabilis (Vent.)<br />
DC.<br />
th Subpontic-centralasian<br />
Bilderdykia convolvulus (L.)<br />
Dumort.<br />
t Subeuroasian<br />
Chenopodium album L. t Cosmopolitan<br />
Chenopodium polyspermum<br />
L.<br />
t Euroasian<br />
Chondrilla juncea L.<br />
h<br />
Pontic-centralasiansubmediterranean<br />
Cichorium intybus L. h Subeuroasian<br />
Cirsium arvense (L.) Scop. g Subeuroasian<br />
Clematis flammula L. np Submediterranean<br />
Consolida regalis S.F.Gray t Subcentraleuropean<br />
Convolvulus arvensis L. g Cosmopolitan<br />
11
Z. Kovačević et al.<br />
Lepidium draba L.<br />
h<br />
Conyza canadensis (L.)<br />
Cronq.<br />
th Adventive<br />
Crepis sancta (L.) Babcock h Submediterranean<br />
Cynodon dactylon (L.) Pers. g Cosmopolitan<br />
Dactylis glomerata L. h Subeuroasian<br />
Datura stramonium L. t Cosmopolitan<br />
Daucus carota L. th Subeuroasian<br />
Digitaria sanguinalis (L.)<br />
Scop.<br />
t Cosmopolitan<br />
Diplotaxis muralis (L.) DC. th Submediterranean<br />
Echinochloa crus-galli (L.)<br />
Beauv.<br />
t Cosmopolitan<br />
Echium italicum L. th Submediterranean<br />
Erigeron annuus (L.) Pers. th Adventive<br />
Euphorbia chamaesyce L. t<br />
Ponticsubmediterranean<br />
Euphorbia helioscopia L. t Subeuroasian<br />
Foeniculum vulgare Mill. h Adventive<br />
Galinsoga parviflora Cav. t Adventive<br />
Geranium molle L. th Subeuroasian<br />
Gypsophyla muralis L. t Euroasian<br />
Hibiscus trionum L. t<br />
Ponticeastensubmediterranean<br />
Kickxia spuria (L.) Dum. t<br />
Subatlanticsubmediterranean<br />
Lactuca saligna L. th<br />
Subponticsubmediterranean<br />
Lathyrus tuberosus L. g Subsouthsiberian<br />
Pontic-centralasiansubmediterranean<br />
Linaria vulgaris Mill. h Subcentraleuropean<br />
Marrubium vulgare L. h Subeuroasian<br />
Medicago lupulina L. th Subeuroasian<br />
Mentha arvensis L. g Circumpolar<br />
Mentha longifolia (L.)<br />
g<br />
Subcentraleuropean<br />
Huds.<br />
Oxalis stricta L. h Adventive<br />
Papaver rhoeas L. th Subeuroasian<br />
12
The summer aspect of weed flora in the vineyards of Herzegovina<br />
Thlaspi arvense L. th Subevr.<br />
Petrorhagia saxifraga (L.)<br />
Link.<br />
zc Submediterranean<br />
Phleum pratense L. h Subeuroasian<br />
Plantago major L. h Euroasian<br />
Polygonum aviculare L. t Cosmopolitan<br />
Polygonum lapathifolium L. t Subcircumpolar<br />
Portulaca oleracea L. t Cosmopolitan<br />
Potentilla reptans L. h Euroasian<br />
Raphanus raphanistrum L. t Subcentraleuropean<br />
Reseda lutea L. th Subcentraleuropean<br />
Rorippa sylvestris (L.) Bess. h Subeuroasian<br />
Rosa canina L. np Subcentraleuropean<br />
Rubus ulmifolius Schott. np<br />
Subatlanticsubmediterranean<br />
Rumex crispus L. h Euroasian<br />
Satureja montana L. h Submediterranean<br />
Senecio vulgaris L. th Euroasian<br />
Setaria glauca (L.) Beauv. t Cosmopolitan<br />
Setaria viridis (L.) Beauv. t Subeuroasian<br />
Solanum nigrum L. t Cosmopolitan<br />
Sonchus oleraceus L. th Subeuroasian<br />
Sorgum halepense (L.) Pers. g Cosmopolitan<br />
Taraxacum officinale<br />
Weber<br />
h Euroasian<br />
Tribulus terrestris L. t<br />
Pontic-centralasiansubmediterranean<br />
Verbena officinalis L. th Cosmopolitan<br />
Xanthium italicum Moretti t Adventive<br />
In the vineyards of Fruška Gora region, Šinžar and Živanović<br />
(1992) registered 74 plant species. In the vineyards of Vršac, Anđelić<br />
(1976) registered 46 weed species. On the south slopes of Fruška Gora,<br />
Crnčević et al. (1992) registered 66 weed species in summer aspect.<br />
Živanović (1988) concluded that summer aspect of weed flora in<br />
the vineyards of Belgrade surroundings is the most abundant by flora,<br />
with dominated weed species which are characteristic for annual row<br />
crops. During the research of seasonal dynamics of weed sinuous in<br />
13
Z. Kovačević et al.<br />
vineyards, he noticed the significant differences in presence of weed<br />
sinuous in certain microhabitats. Weed sinuous in summer aspect is<br />
quantitatively and qualitatively the most expressed. It includes 35 species<br />
(from the total 53 species in all three aspects) with 10 species presented<br />
in microhabitat of order, and 9 species in microhabitat between orders.<br />
On the basis of results obtained by the research of seasonal<br />
changes in floristic composititon and structure of weed sinuous in the<br />
vineyards of the south part of fruit and grape growing region of Fruška<br />
Gora, Crnčević et al. (1992) concluded that summer aspect is consisted of<br />
66 weed species. Among them are the most significant late summer and<br />
perrenial weeds.<br />
Taxonomic analysis (Table 2.) shows that all registered weed<br />
species belong to section Spermatophyta, 59 species belong to class<br />
Magnoliate and 10 species to class Liliate. The flora is distributed in 28<br />
families. The most abundant with species are families: Asteraceae,<br />
Poaceae, Brassicaceae, Lamiaceae and Polygonaceae, presented with 37<br />
species or 53.6%. 15 families are presented with one species. Species<br />
which belong to family Poaceae have a great importance as vineyard<br />
weeds, because of intensive vegetative reproduction and fast<br />
regeneration. According to that, they represent the most significant<br />
vineyard weeds.<br />
Table 2. Taxonomic analysis of weed flora in the vineyards of<br />
Herzegovina.<br />
Species<br />
Section Class Family numbe %<br />
r<br />
Spermatophyt<br />
Asteraceae 13 18.8<br />
a<br />
Brassicaceae 7 10.0<br />
(69 species) Magnoliate Lamiaceae 4 5.7<br />
(59 species or Polygonaceae 4 5.7<br />
85.5%)<br />
Rosaceae 3 4.3<br />
Fabaceae 2 2.9<br />
Apiaceae 2 2.9<br />
Caryophyllacea<br />
e<br />
2 2.9<br />
Chenopodiacea<br />
e<br />
2 2.9<br />
Euphorbiaceae 2 2.9<br />
14
The summer aspect of weed flora in the vineyards of Herzegovina<br />
Liliate<br />
(10 species or<br />
14.5%)<br />
Ranunculaceae 2 2.9<br />
Scrophulariace<br />
ae<br />
2 2.9<br />
Amaranthaceae 1 1.5<br />
Aristolochiacea<br />
e<br />
1 1.5<br />
Boraginaceae 1 1.5<br />
Convolvulaceae 1 1.5<br />
Geraniaceae 1 1.5<br />
Malvaceae 1 1.5<br />
Oxalidaceae 1 1.5<br />
Papaveraceae 1 1.5<br />
Plantaginaceae 1 1.5<br />
Portulacaceae 1 1.5<br />
Resedaceae 1 1.5<br />
Solanaceae 1 1.5<br />
Verbenaceae 1 1.5<br />
Zygophyllaceae 1 1.5<br />
Poaceae 9 13.0<br />
Liliaceae<br />
1 1.5<br />
Total 69 100<br />
Biological spectrum of weed flora in Herzegovina vineyard<br />
region (Table 3.) is in corelation with habitat conditions. It has<br />
outstanding therophyto-hemicryptophytic character, because 56 species<br />
(or 81.2%) belong to therophytas, hemicryptophytas and<br />
therohemocryptophytas, while the participation of other life forms is<br />
significantly lower. From practical aspect, it is important to emphasize<br />
that in biological spectrum significant part belongs to geophytas (9<br />
species or 13%), which have very intensive vegetative reproduction.<br />
During the research of weed flora and vegetation in orchards of<br />
B&H, Kojić et al. (2005) concluded that hemicryptophytas dominate in<br />
biological spectrum (40.7%), which they connect with low application<br />
level of agrotechnic and other measures of care. That represents a<br />
significant difference comparing to biological spectrum of weed flora in<br />
Herzegovina vineyards region.<br />
During the research of weed sinuous in the vineyard of fruite and<br />
grape growing region of Fruška Gora, in Sremski Karlovci, Šinžar and<br />
Živanović (1976) concluded that therophytas are the most presented in<br />
15
Z. Kovačević et al.<br />
biological spectrum of summer aspect, while geophytas and<br />
hemicryptophytas participate with 32.7%. In the frame of species of<br />
characteristic collection, participation of therophytas reduces to 53.3%,<br />
while participation of geophytas (20,00%) and hemicryptophytas<br />
(26,67%) increases. This fact shows that perrenial weeds have a very<br />
significant role in establishment of weed association in vineyards. The<br />
same authors state that participation of weed – ruderal plants increases<br />
from 59.2% to 65.2% and participation of segetal reduces from 31.6% to<br />
23.9% during autumn aspect in comparison to summer.<br />
Table 3. Biological spectrum of weed flora in the vineyards of<br />
Herzegovina.<br />
Life form<br />
Number of<br />
species<br />
(%)<br />
t 25 36.2<br />
th 16 23.2<br />
h 15 21.7<br />
g 9 13.0<br />
np 3 4.4<br />
zc 1 1.5<br />
Total 69 100<br />
Specificity of areal types analysis of weed flora in Herzegovina<br />
vineyard region is reflecting in quantitative participation of geoelements<br />
(Table 4.). First impression is getting by the conclusion that 15 floral<br />
elements are determined by phytogeographic analysis. Domination of<br />
species from the group of floral elements with wide area of spreading is<br />
outstanding (euroasian, circumpolar and cosmopolitan, adventive and<br />
pontic-centralasian). This group includes 52 plant species or 75.4%, what<br />
is in accordance with cosmopolitism of weed flora. The group of floral<br />
elements with narrow area of spreading (centraleuropean,<br />
submediterranean and atlantic) is significantly poor by flora (17 species<br />
or 24.6%). The most abundant with species are: subeuroasian,<br />
cosmopolitan, subcentraleuropean, euroasian and adventive floral<br />
elements.<br />
16
The summer aspect of weed flora in the vineyards of Herzegovina<br />
Table 4. The spectrum of floral elements of weed flora in the vineyards<br />
of Herzegovina.<br />
Group of floral elements<br />
Euroasian<br />
(23 species or 33.3%)<br />
Floral element<br />
Number<br />
of %<br />
species<br />
Subeuroasian 15 21.7<br />
Euroasian 7 10.2<br />
Subsouthsiberian 1 1.5<br />
Cosmopolitan 12 17.4<br />
Circumpolar 1 1.4<br />
Circumpolar and<br />
cosmopolitan<br />
(14 species or 20.3%) Subcirkumpolar 1 1.4<br />
Centraleuropean<br />
Subcentraleuropean 7 10.2<br />
(8 species or 11.6%) Centraleuropean 1 1.5<br />
Adventive<br />
(8 species or 11.6%)<br />
Adventive 8 11.6<br />
Pontic-centralasiansubmediterranean<br />
3 4.3<br />
Subponticsubmediterranean<br />
Pontic-Centralasian<br />
2 2.9<br />
(7 species or 10.2%)<br />
Ponticeasternsubmediterranean<br />
1 1.5<br />
Subpontic-centralasian 1 1.5<br />
Submediterranean<br />
(7 species or 10.2%)<br />
Submediterranean 7 10.2<br />
Atlantic<br />
Subatlanticsubmediterranean<br />
(2 species or 2.9%)<br />
2 2.9<br />
Total 69 100<br />
During the research of the flora and vegetation of orchards in<br />
B&H, Kojić et al. (2005) registered 16 floral elements. With domination<br />
of euroasian group, they emphasized a large presence of<br />
submediterranean floral element (14.6%)in Herzegovina, which isn´t case<br />
in flora of Herzegovina vineyard region where submediterranean floral<br />
element is presented with 7 weed species (10.1%). That is connecting<br />
with different application level of agrotechnic measures in vineyard and<br />
orchard.<br />
17
Z. Kovačević et al.<br />
Conclusions<br />
During the floristic research of weed flora in Herzegovina<br />
vineyard region, 69 taxons have been registered.<br />
Taxonomic analysis shows that all registered weed species belong<br />
to section Spermatophyta (59 species belong to class Magnoliate and 10<br />
species to class Liliate). Registered species are distributed in 28 families.<br />
Among these, the more abundant by flora are the following families:<br />
Asteraceae, Poaceae, Brassicaceae, Lamiaceae and Polygonaceae,<br />
which together include 37 species or 53.6%.<br />
Biological spectrum of weed flora has outstanding therophytohemicryptophytic<br />
character, because 56 species (81.2%) belong to<br />
therophytas, hemicryptophytas and therohemocryptophytas.<br />
By phytogeographical analysis, 15 floral elements have been registered,<br />
with domination of species which belong to the group of floral elements<br />
with wide area of spreading (euroasian, circumpolar and cosmopolitan,<br />
adventive and pontic-centralasian). This group includes 52 plant species<br />
or 75.4%, while the group of floral elements with narrow area of<br />
spreading (centraleuropean, submediterranean and atlantic) is<br />
significantly poor by flora (17 species or 24.6%).<br />
The data about floristic structure, biological spectrum and<br />
seasonal dynamics of weed sinuous of vineyard agrophytocenosis should<br />
be the basis for planning of weed control measures, especially chemical,<br />
because of proper choise of <strong>herb</strong>icides and their spectrum of influence.<br />
Special attention should be paid to perrenial weeds because of large<br />
reproducting and regeneration power, as well as rezistance toward<br />
<strong>herb</strong>icides.<br />
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The summer aspect of weed flora in the vineyards of Herzegovina<br />
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reona Fruška Gora. Zbornik radova četvrtog kongresa o korovima, str. 264-272,<br />
Banja Koviljača.<br />
ŠINŽAR, B., ŽIVANOVIĆ, M. (1993): Prilog poznavanju korovske vegetacije<br />
vinograda u Banatu. Acta <strong>herb</strong>ologica, godina 2, broj 1, str. 65-74, Beograd.<br />
ŠUMATIĆ, NADA (1997): Korovska flora i vegetacija Panonskog basena Republike<br />
Srpske. Prirodno-matematički faskultet, str. 1-95, Banjaluka.<br />
TARAILO, R. (2001): Stanje i perspektive razvoja vinogradarstva u Republici Srpskoj.<br />
Agroznanje, godina II, broj 1, str. 63-73, Banjaluka.<br />
19
Z. Kovačević et al.<br />
TUTIN, T. G. ed. (1964-1980): Flora Europaea. 1-5, Cambridge University Press,<br />
London.<br />
ŽIVANOVIĆ, Ž. (1988): Prilog poznavanju sezonske dinamike korovske sinuzije<br />
agrofitocenoza vinograda okoline Beograda. Zbornik referata Trećeg kongresa<br />
o korovima, str. 189-210, Ohrid.<br />
ŽIVANOVIĆ, M., ŠINŽAR, B., KONSTANTINOVIĆ, B. (1999): Korovi u<br />
vinogradima i njihovo suzbijanje. Biljni lekar, godina XXVII, broj 5-6, str.<br />
519-523, Beograd.<br />
20
Herbologia Vol. 9, No. 2, 2008.<br />
DISTRIBUTION OF WEED FLORA IN CHICKPEA CROP IN<br />
DISTRICT DERA ISMAIL KHAN, PAKISTAN<br />
Gul Hassan 1 , Imtiaz Khan 1 and Naqibullah Khan 2<br />
1 Department of Weed Science, NWFP Agricultural University, Peshawar,<br />
Pakistan<br />
E-mail:hassanpk_2000pk@yahoo.com<br />
2<br />
Department of Plant Breeding and Genetics, NWFP Agricultural University,<br />
Peshawar, Pakistan<br />
Abstract<br />
Five locations, mainly from the rice based cropping system of Dera<br />
Ismail Khan, were randomly selected to decipher the flora infesting Cicer<br />
arietinum crop during winter 2005. The computation of importance value is a<br />
good judgment for deciding the status of a given weed in a community.<br />
Based on spatial data it is concluded that Lathyrus aphaca, Lathyrus sativus,<br />
Melilotus indica, Convolvulus arvensis, Medicago denticulate, and Rumex<br />
crispus as the important weeds of Dera Ismail Khan, in the descending order.<br />
Up to 80% losses were caused by Lathyrus aphaca L. and L. sativus in<br />
chickpea fields in Dera Ismail Khan. As far as the management implications<br />
of these weeds are concerned, their manual as well as chemical management<br />
tactics are threatened by their morphological and physiological resemblance<br />
with the chickpea.<br />
Keywords: chickpea weeds, Dera Ismail Khan, Weed distribution, Importance value<br />
Introduction<br />
Dera Ismail Khan is the bread basket of North West Frontier<br />
Province (NWFP). Dera Ismail Khan is bounded on north by District<br />
Lakki Marwat, Dera Ghazi Khan onto south, Tank in the west and river<br />
Indus into the east. Dera Ismail Khan has the largest cultivable area in<br />
whole of NWFP. The rice based cropping system as in turn offered in an<br />
impetus to grow chickpea on the residual moisture of rice. Chickpea is<br />
also grown in rain-fed conditions. But, the chickpea production is<br />
altogether a different culture from the Lakki Marwat and Karak District<br />
(Khan et al. 2005; Hassan and Khan, 2007). The soils of Dera Ismail<br />
Khan are mostly not sandy rather ranging from silty through silty loam to<br />
clayey. As the edaphic conditions differ from the preceding Districts so is<br />
the variability in the flora infesting chickpea crop. The major cropping<br />
patterns of Dera Ismail Khan are Rice-chickpea-rice, sugarcane-
G. Hassan et al.<br />
sugarcane-wheat, wheat-rice-wheat and chickpea-fallow-chickpea.<br />
Rainfall in the district is scanty. But, winter 2004-5 has been unique<br />
when continual rains were received during the growing season of winter<br />
crops. For the chickpea crop it has been a bad year because the excessive<br />
rains promoted vegetative growth and partitioning towards the seed yield<br />
had been lower. Moreover, water stayed unabsorbed in the fields of<br />
heavy soils, it severely affected the crop growth. The altered pattern of<br />
rain also affected the weed composition in the crop as well.<br />
Chickpea is heat tolerant and thrives under good moisture<br />
conditions with daytime temperatures between 21ºC and 29ºC and night<br />
temperatures near 20ºC. Chickpea is relatively drought tolerant due to its<br />
long taproot, which allows it to use water from greater depths than other<br />
pulse crops (MINFAL, 2004).<br />
In addition to rice-based, irrigated by the streams from mountains<br />
and rain-fed chickpea is also grown in the District, but the major bulk<br />
comes from the rice-based cropping system. Wild edible pea (L. sativus<br />
L.) and meadow peavine (L. aphaca L) are the worst weeds competitive<br />
with the chickpea crop in Dera Ismail Khan. The former weed infests the<br />
crop to an extent that crop is harvested as forage to feed the cattle and no<br />
longer goes to maturity. Hence, a proper assessment of the problem and<br />
find solutions is the need of the hour, so to save the growers from such a<br />
colossal loss.<br />
Materials and methods<br />
Five villages were randomly selected from the chickpea growing<br />
area of the district during winter season 2005-06. All the selected<br />
locations were either irrigated by streams from mountains, irrigated or of<br />
residual moisture from the preceding rice crop (rice-based). No<br />
<strong>herb</strong>icides were used at these sites throughout the growing season of<br />
crop. Seven to eight weeks after sowing of chickpea, in Dera Ismail Khan<br />
district of Pakistan, species-wise weed density m -2 was taken in the<br />
selected villages and from the same data relative density (%), frequency<br />
(%), relative frequency (%) and importance value of weed species were<br />
computed as adopted from Hussain (1989) and Hussain et al. (2004). At<br />
each of the selected villages, three fields of different chickpea were<br />
selected randomly and were surveyed following the methodology of<br />
Thomas (1985) and McCully et al. (1991). Five 1x1 m 2 quadrates were<br />
randomly placed along an inverted horizontal pattern in each field. The<br />
distance between each quadrate depended upon the size and shape of the<br />
field and any obstructions that may have been present in the fields. The<br />
22
Distribution of weed flora in chickpea crop in district Ismail Khan, Pakistan<br />
larger was the field, the greater was the distance between the quadrates.<br />
The collected weed samples were identified from the Department of<br />
Weed Science, NWFP Agricultural University, Peshawar and the<br />
Department of Botany, University of Peshawar. The samples were<br />
deposited into the <strong>herb</strong>arium of the Department of Weed Science, NWFP<br />
Agricultural University, Peshawar.<br />
Results and discussion<br />
Density of weed m -2<br />
Enormous variability in weed dynamics was observed across the<br />
5 locations studied (Table-I). Almost 9 times higher infestation was<br />
recorded at Darban road location as compared to the lowest infested site<br />
which is Kech area. At the most infested site of Daraban road 66.6 plants<br />
m -2 of Melilotus indica were recorded which is an enormous infestation.<br />
Numerically the same density (33.3 m -2 ) was recorded for Lathyrus<br />
aphaca L, Lathyrus sativus L. and Medicago denticulata (Table-I). M.<br />
denticulata emerged as the dominant species at Ghaebbi-2, Ghaebbi-1<br />
and Kech locations by counting 76.6, 45.3 and 5.8 plants m -2 ,<br />
respectively (Table-I). Computing the means for each species across all<br />
locations, M. denticulata (34.26 m -2 ) was deciphered to be predominant<br />
species followed by M. indica (19.68 m -2 ) and L. aphaca (10.34 m -2 ).<br />
Convolvulus arvensis (3.32 m -2 ) and Rumex crispus (5.64 m -2 ) were the<br />
least abundant species in the studies (Table-I).<br />
Relative density (%) of weeds<br />
Analysis of the data revealed that the highest percentage (75.2%,<br />
67.5%, 28.4%) of flora comprised of M. denticulata at Ghaebbi-1,<br />
Ghaebbi-2, and Kech, respectively (Table-II). Whereas, in Daraban road<br />
site and Thatta area were predominated with M. indica (43.6%) and<br />
Lathyrus aphaca L (43.4%). The data exhibit that C. arvensis was<br />
endemic to Daraban road and did not exist at any other location (Table-<br />
2). Lathyrus sativus L., the worst weed of chickpea in the rice based<br />
cropping system was present in 4 out of 5 sites. Its share among the total<br />
flora ranges between 5.8% at Ghebbi-2 to 15.9% in the Thatta site. The<br />
relative density of this weed is low moderate, but the damage caused by<br />
it to the chickpea crop is maximum. L. sativus L. is a kind of vine having<br />
an enormous spread. One or two plants surround the chickpea plant and<br />
deprive it of solar radiation by overshadowing the crop. As compared to<br />
that L. aphaca has erect growth with a maximum height upto 15 cm does<br />
not have the same competitive ability. Thus, point of caution is hereby<br />
23
G. Hassan et al.<br />
made that merely the number of weeds is not the index of harm it is<br />
rendering to the crop. The canopy structure (spread), height, leaf size,<br />
duration of competition are important to be kept into mind for assessing<br />
the harming value of weeds.<br />
Frequency (%)<br />
The data in Table-III evidence the strange composition of the<br />
studied sites. Both at Ghaebbi-1 or Ghaebbi-2 a weed was either absent<br />
or had 100% frequency, thus clearly depicting the even distribution of all<br />
present species in the chickpea fields. At Thatta the similar situation is<br />
witnessed except for Medicago had a frequency of 66.6%, while all the<br />
remaining present species were observed with a frequency of 100%<br />
(Table-III). At Daraban road and Kech preponderance Melilotus (66.6%)<br />
and Melilotus and Medicago both leguminous weeds with an equal<br />
frequency of 83.3%, were recorded respectively. The frequency analysis<br />
also shows Convolvulus as localized species occurring with a frequency<br />
of 16.6% at Daraban road.<br />
Relative frequency (%)<br />
A reference to data in Table-IV exhibits the supremacy of M.<br />
indica at all 5 locations. However, highest relative frequency of Melilotus<br />
was comparable with L. aphaca (27.2%) and Lathyrus sativus L. (27.2%)<br />
at Thatta. At Ghaebbi-1 and Ghaebbi-2, the highest frequency of<br />
Melilotus was at par with Medicago and Rumex. In addition at Ghaebbi-<br />
2, the relative frequency of Melilotus was also comparable with Lathyrus<br />
aphaca L (20%) and Lathyrus sativus L. (20%). At Kech, the relative<br />
frequency of Melilotus was comparable with Medicago (Table-III). Very<br />
little (9%) relative frequency was availed by Convolvulus arvensis<br />
indicating it as unimportant among the weed communities in chickpea<br />
crop of the studied area.<br />
Importance value of weed<br />
The computation of importance value is a good judgment for<br />
deciding the status of a given weed in community. Medicago denticulata<br />
was the predominant species at Ghebbi-1 (54.4), Ghaebbi-2 (43.7) and<br />
Kech (26.7). At the other two locations viz. Daraban road and Thatta.<br />
Melilotus indica and Lathyrus aphaca L with an Importance value of<br />
39.9 and 35.3, respectively, (Table-V). The lowest Importance value of<br />
5.2 was attained by the Convolvulus arvensis. Our findings are in great<br />
analogy with the work of Sultan and Nasir (2003) who observed different<br />
communities of weeds in gram fields of Chakwal at 8 different locations.<br />
24
Distribution of weed flora in chickpea crop in district Ismail Khan, Pakistan<br />
The phytosociology in the gram fields they reported partially agrees with<br />
our findings.<br />
The appraisal on Average Importance value and ranking exhibits<br />
the Medicago denticulata, Melilotus indica, Lathyrus aphaca L and<br />
Lathyrus sativus L. as the important weeds of Dera Ismail khan, in the<br />
descending order. It is astonishing to note that all these are the broadleaf<br />
annual weeds belonging to the Leguminosae. Thus, all the species are the<br />
close relatives of chickpea (C. arietinum L.). Thus, their competition in<br />
chickpea is comprehended with the logic that due to their genetic<br />
relationship they required similar habitat for their growth. Hence, the<br />
planting and the crop management techniques which favored chickpea to<br />
become a dominant species also encouraged the growth of the referred<br />
leguminous weeds.<br />
As far as the management implications of these weeds are<br />
concerned their manual as well as chemical management tactics are<br />
threatened by their morphological and physiological resemblance with<br />
the chickpea. Our group has been fortunate enough to identify selectivity<br />
in chickpea to Stomp 330 E pre-em and isproturon which are effective on<br />
controlling some of the referred species (data not reported).<br />
Table 1. Density of weeds m -2 of various weed species across 5 locations<br />
in district Dera Ismail Khan, Pakistan<br />
Weed species<br />
Lathyrus aphaca L.<br />
Lathyrus sativus L.<br />
Family<br />
Leguminosae<br />
Leguminosae<br />
Daraban<br />
road<br />
Thatt<br />
a<br />
Area<br />
Ghaebbi<br />
-1<br />
Ghaebb<br />
i<br />
-2<br />
33.3 25.3 0.0 6.6<br />
33.3 9.3 0.0 6.6<br />
Kech<br />
area<br />
Mean<br />
s<br />
3.9 13.82<br />
2.5 10.34<br />
Melilotus indica L. All. Leguminosae 66.6 13.3 9.3 5.6 3.6 19.68<br />
Convolvulus arvensis L. Convolvulaca<br />
0.0 3.32<br />
16.6 0.0 0.0 0.0<br />
e<br />
Medicago denticulate L. Leguminosae 33.3 10.3 45.3 76.6 5.8 34.26<br />
Rumex crispus L. Polygonaceae 0.0 0.0 5.6 18.0 4.6 5.64<br />
Total 183.1 58.2 60.2 113.4 20.4<br />
25
G. Hassan et al.<br />
Table 2. Relative Density (%) of various weed species across 5 locations in<br />
district Dera Ismail Khan, Pakistan.<br />
Weed species Family Daraban Thatta Area Ghaebbi- Ghaebbi-2 Kech Means<br />
road<br />
1<br />
area<br />
Lathyrus aphaca L. Leguminosae 29.9 43.4 0.0 5.8 19.1 19.64<br />
Lathyrus sativus L. Leguminosae 7.3 15.9 0.0 5.8 12.2 8.24<br />
Melilotus indica L. All. Leguminosae 43.6 22.8 15.4 4.9 17.6 20.86<br />
Convolvulus arvensis L. Convolvulacae 1.6 0.0 0.0 0.0 0.0 0.32<br />
Medicago denticulate L Leguminosae 17.6 17.6 75.2 67.5 28.4 41.26<br />
Rumex crispus L. Polygonaceae 0.0 0.0 9.3 15.8 22.5 9.52<br />
Table 3. Frequency (%) of various weed species across 5 locations in<br />
district Dera Ismail Khan, Pakistan.<br />
Weed species Family Daraban Thatta Ghaebbi Ghaebbi Ketch Means<br />
road area 1 2<br />
area<br />
Leguminosae 100 100 0.0 100 66.6 59.98<br />
Lathyrus aphaca L.<br />
Lathyrus sativus L.<br />
Leguminosae 100 100 0.0 100 50.0 56.66<br />
Melilotus indica L. All. Leguminosae 100 100 100 100 83.3 89.98<br />
Convolvulus arvensis L. Convolvulacae 100 0.0 0.0 0.0 0.0 3.32<br />
Medicago denticulate L. Leguminosae 100 66.6 100 100 83.3 76.64<br />
Rumex crispus L. Polygonaceae 0.0 0.0 100 100 50.0 50.0<br />
Table 4. Relative frequency (%) of various weed species across 5 locations<br />
in district Dera Ismail Khan, Pakistan<br />
Weed species Family Daraban Thatta Ghaebbi Ghaebbi Kech Means<br />
road area 1 2 area<br />
Leguminosae 18.0 27.2 0.0 20.0 19.9 17.02<br />
Lathyrus aphaca L.<br />
Lathyrus sativus L.<br />
Leguminosae 18.0 27.2 0.0 20.0 15.0 16.04<br />
Melilotus indica L. All. Leguminosae 36.3 27.2 33.3 20.0 25.0 28.36<br />
Convolvulus arvensis L. Convolvulacae 9.0 0.0 0.0 0.0 0.0 1.8<br />
Medicago denticulate L. Leguminosae 18.0 18.1 33.3 20.0 25.0 22.88<br />
Rumex crispus L. Polygonaceae 0.0 0.0 33.3 20.0 15.0 13.66<br />
26
Distribution of weed flora in chickpea crop in district Ismail Khan, Pakistan<br />
Table 5. Importance value of various weed species across 5 locations in<br />
district Dera Ismail Khan, Pakistan.<br />
Weed species<br />
Lathyrus aphaca LL.<br />
Lathyrus sativus L.<br />
Melilotus indica L.<br />
All.<br />
Convolvulus arvensis<br />
L.<br />
Medicago denticulate<br />
L.<br />
Rumex crispus L.<br />
Family<br />
Leguminosae<br />
Leguminosae<br />
Leguminosae<br />
Convolvulacae<br />
Leguminosae<br />
Polygonaceae<br />
Daraban<br />
road<br />
23.9<br />
12.6<br />
39.9<br />
5.2<br />
17.8<br />
0.0<br />
Thatta<br />
Area<br />
35.3<br />
21.5<br />
25.0<br />
0.0<br />
17.8<br />
0.0<br />
Gha<br />
ebbi<br />
-1<br />
0.0<br />
0.0<br />
24.2<br />
0.0<br />
54.4<br />
21.3<br />
Ghaeb<br />
bi-2<br />
Kech<br />
area<br />
12.9 19.5<br />
12.9 13.6<br />
12.4 21.3<br />
0.0 0.0<br />
43.7 26.7<br />
17.9 18.7<br />
Mea<br />
n<br />
Imp.<br />
valu<br />
e<br />
Spp<br />
rankin<br />
g<br />
18.<br />
3 3<br />
12.<br />
1 4<br />
24.<br />
6<br />
1.0<br />
31.<br />
1<br />
11.<br />
6<br />
2<br />
6<br />
1<br />
5<br />
Conclusions and recommendations<br />
L. sativus L. and L. aphaca L (even if they are not dominant) are<br />
the worst weeds competitive with the chickpea crop in Dera Ismail Khan,<br />
Pakistan. The former weed species infests the crop to an extent that<br />
chickpea is harvested as a forage to feed the cattle and no longer goes to<br />
maturity. Hence, a proper assessment of the problem and finding<br />
solutions is the need of the hour, so to save the growers from such a<br />
colossal loss. In order to achieve economic yield, judicious management<br />
of weed is recommended in chickpea.<br />
References<br />
MINFAL. 2004: Agricultural Statistics of Pakistan. Ministry of Food, Agriculture and<br />
Livestock, Government of Pakistan, Islamabad.<br />
HUSSAIN, F. 1989: Field and Laboratory Manual of Plant Ecology. University Grants<br />
Commission, Islamabad, pp. 155-156.<br />
HUSSAIN, F., A. MURAD AND M.J.DURRANI. 2004: Weed communities in wheat<br />
fields of Mastuj, District Chitral, Pakistan. Pak. J. Weed Sci. Res. 10(3-4): 10(3-<br />
4):101-108..<br />
27
G. Hassan et al.<br />
HASSAN, G. AND I. KHAN. 2007: Post emergence <strong>herb</strong>icidal control of Asphodelus<br />
tenuifolius in desi chickpea, Cicer arietinum L. at Lakki Marwat, Pakistan.<br />
Pak. J. Weed Sci. Res. 13 (1-2):33-38.<br />
KHAN, I., G. HASSAN, M. IDRESS AND M.I.KHAN.2005: Survey of some weeds<br />
from District Karak, Pakistan. Pak. J. Pl. Sci. 11 (1): 29-31.<br />
McCULLY, K.M., G. SIMPSON, AND A.K.WATSON. 1991: Weed survey of Nova<br />
Scotia Lowbush (Vaccinilum angustifolium) fields. Weed Sci. 39 (2):180-185.<br />
SULTAN, S. AND Z.A. NASIR. 2003: Dynamics of weed communities in gram fields<br />
of Chakwal, Pakistan. First Int’l. Weed Sci. Conf. NWFP Agric. Univ.,<br />
Peshawar Oct. 23-26.<br />
THOMAS, A.G. 1985: Weed Survey system used in Saskatchewan for cereal and<br />
oilseed crops. Weed Sci. 33 (1):34-43.<br />
28
Herbologia Vol. 9, No. 2, 2008.<br />
ECOLOGICAL AND PLANT-GEOGRAPHIC ANALYSIS OF THE<br />
WEED FLORA IN ORGANIC PRODUCTION OF BRASSICAS<br />
Aleksa Knežević, Slobodanka Stojanović, Ljiljana Nikolić,<br />
Branka Ljevnaić, Dejana Džigurski, Dragiša Milošev<br />
Faculty of Agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, Novi Sad,<br />
Serbia<br />
e-mail: kneza@polj.ns.ac.yu stojs@polj.ns.ac.yu ljnik@polj.ns.ac.yu<br />
brana@polj.ns.ac.yu dejana@polj.ns.ac.yu mildr@polj.ns.ac.yu<br />
Abstract<br />
In a study conducted at Vozars farm near the village of Kisač (the<br />
Vojvodina Province, Serbia) in the course of the 2008 growing season,<br />
35 plant species were found to comprise the weed flora present in the<br />
organic production of brassicas. Out of the total number of taxons found,<br />
29 were weed-ruderal, 4 were ruderal (of which one taxon is also treated<br />
as a forest-meadow weed and another as a weed-ruderal plant) and 2<br />
were segetal (cropland) weeds. Most of the detected weeds had the<br />
flowering time from April till September. Therophytes predominated in<br />
the studied agroecosystem. The detected weed flora indicated that the<br />
studied site had non-saline, moderately moist and neutral soil, rich in<br />
biogenous mineral substances, with a medium humus content, well<br />
aerated, with favorable light and thermal regimes which were in<br />
agreement with the conditions of the moderately continental climate. The<br />
weeds were adapted to these conditions and they tended to mechanically<br />
smother the cultivated plants. They also decreased the amounts of<br />
nutrients and water in the soil. Their permanent control is necessary for<br />
these reasons. If weeds are removed before they reach the stage of full<br />
flowering or seed maturity, we can control their occurrence in the<br />
subsequent growing season.<br />
Keywords: ecological and plant-geographic analysis, weed flora, brassicas, organic<br />
production.<br />
Introduction<br />
Organic agriculture is a system of ecologically balanced<br />
agricultural production aimed at intensifying the biodiversity of<br />
agrobioecosystems, matter cycling and biological soil activity. Its basic<br />
objective is the production of safe food, free of pesticides, growth<br />
regulators and mineral fertilizers. On the other hand, it favors the use of
A. Knežević et al.<br />
organic and biofertilizers while taking in account mutual interactions<br />
between soil, plants, animals and humans (Kovačević, 2008).<br />
An especially interesting segment of organic agriculture is the<br />
production of vegetables which diversify the human diet. An obvious<br />
shortcoming of organic vegetable production, in both field and<br />
greenhouse, is decreased productivity due to reduced yields. Because<br />
chemical control measures are almost fully excluded, dependence on<br />
climatic conditions tends to increase. The amount of manual labor is also<br />
increased but it does not reduce proportionally the rate of weed<br />
infestation. Instead, plant diseases and pests are encountered more<br />
frequently. Due attention should be paid to weed control in organic<br />
vegetable production because numerous problems arise if it is not<br />
adequate.<br />
Most effective measures to control excessive weed infestation,<br />
plant diseases and pests in organic vegetable production are proper soil<br />
tillage, correct crop rotation, use of certified planting material, protection<br />
of beneficial plants and animals and creation of favorable conditions for<br />
their development, and mechanical pest control (Knežević et al., 2008).<br />
The objective of this study was to assess the ecological and plantgeographic<br />
characteristics of the weed flora occurring in the course of<br />
organic production of brassicas because, in order to control weeds<br />
correctly and effectively, it is necessary to know their biology and<br />
ecology.<br />
Material and methods<br />
A study of weed flora occurring in the course of organic<br />
production of brassicas in the field was conducted at the Vozars farm<br />
located near the village of Kisač (the Vojvodina Province, Serbia) in the<br />
course of the 2008 growing season.<br />
The soil type at the studied site was the calcareous black meadow<br />
soil on the loess terrace (Živković et al., 1972).<br />
The previous crops to the brassicas had been the table beet (Beta<br />
vulgaris L. subsp. esculenta Salisb.) in 2006 and the lettuce (Lactuca<br />
sativa L. subsp. capitata L.) in 2007.<br />
The following brassicas were grown in the course of the 2008<br />
growing season: the heading cabbage (Brassica oleracea L. var. capitata)<br />
including cultivars with white, red and cone-shaped heads, the kale<br />
(Brassica oleracea L. var. sabauda L.), the Chinese cabbage (Brassica<br />
oleracea L. v broccoli ar. chinensis), the cauliflower (Brassica oleracea<br />
L. var. botrytis L.), the romanesco broccoli (Brassica oleracea L. var.<br />
30
Ecological and plant-geographic analysis of the weed flora in organic production ...<br />
botrytis L. type romanesco), the broccoli (Brassica oleracea L. var.<br />
botrytis subvar. cymosa /var. italica) and the collard (Brassica oleracea<br />
L. var. acephala DC).<br />
The observed taxa were determined according to "The Flora of<br />
SR Serbia" (Josifović, 1970-1977), "Flora Europaea" (Tutin et al., 1960-<br />
1980) and "Iconography of the Flora from the South-Eastern Part of<br />
Central Europe" (Jávorka & Csapody, 1975).<br />
Table 1 provides the following data for each plant species listed:<br />
life form (Ujvárosi, 1973), date of flowering and category according to<br />
site (Čanak, Parabućski, S., Kojić, 1978); floristic element (Gajić 1980)<br />
and ecological indices according to Landolt (Landolt, 1977; Knežević,<br />
1994; Knežević et al., 2008).<br />
Results and discussion<br />
The weed flora observed during the organic production of<br />
brassicas at the Vozars farm (Kisač, the Vojvodina Province, Serbia) in<br />
the course of the 2008 growing season comprised of 35 taxa (Table 1).<br />
Of the total number of the detected taxa, 29 were weed-ruderal species, 4<br />
were ruderal species (among which one taxon is also categorized as a<br />
meadow and forest weed and another as a weed-ruderal species) and 2<br />
taxa were segetal weeds.<br />
Most of the detected taxa flowered in the period between April<br />
and September. Two taxa (Lamium aplexicaule and Senecio vulgaris)<br />
flowered already in March, three taxa (Chenopodium album,<br />
Chenopodium hybridum, Senecio vulgaris) still flowered in November,<br />
as many as nine taxa still flowered in October, and one taxon (Stellaria<br />
media) flowered all year round (Table 1).<br />
The analysis of the biological spectrum of the flora in the studied<br />
area indicated a predominance of therophytes whose abundance rate was<br />
80.00% (28 taxa). Among them, T 4 therophytes (62.85%, 22 taxa), which<br />
germinate in the spring and whose seeds mature in late summer, were<br />
most numerous. T 1 , T 2 and T 3 therophytes were present in lower<br />
percentages (11.43% or 4 taxa, 2.86% or 1 taxon and 2.86% or 1 taxon,<br />
respectively). The abundance rate for geophytes was 14.28% (5 taxa).<br />
The rates for G 1 and G 2 geophytes were 8.57% (3 taxa) and 5.71% (2<br />
taxa), respectively. Hemicryptophytes had the lowest abundance of<br />
5.72% (2 taxa) (Figure 1).<br />
31
A. Knežević et al.<br />
Table 1. The weed flora of brassicas in organic production<br />
Time of Category<br />
Floral<br />
Ecological index<br />
flowering according to site element F R N H D S L T K<br />
Plant species<br />
Life<br />
form<br />
Abutilon theophrasti Meddik. T 4 VI-IX WR Adv. 2 3 4 3 4 - 4 5 3<br />
Agropyrum repens (L.) P.B. G 1 V-VI WR Evr. 3 3 4 2 3 + 4 3 3<br />
Amaranthus blitoides S. Watson T 4 VI-IX WR Adv. 2 4 4 4 4 - 5 4 4<br />
Amaranthus retroflexus L. T 4 VI-IX WR Adv. 2 3 4 3 3 - 4 4 3<br />
Ambrosia artemisiifolia L. T 4 VIII-IX R Adv. 2 3 4 2 2 + 4 5 3<br />
Anagallis arvensis L. T 4 V-X WR Cosm. 3 3 3 3 4 - 4 4 3<br />
Anagallis femina Mill. T 4 V-VI WR Cosm. 2 3 3 3 4 - 3 3 4<br />
Artemisia vulgaris L. H 5 VII-IX R, MW, FW Cirk. 3 3 4 3 4 - 4 4 3<br />
Bilderdykia convolvulus (L.) Dum. T 4 VI-IX S Subevr. 2 3 3 3 4 - 4 4 3<br />
Capsella bursa-pastoris (L.) Med. T 1 IV-XI WR Cosm. 2 3 4 3 4 - 4 4 3<br />
Chenopodium album L. T 4 VI-XI WR Cosm. 2 3 4 3 4 - 4 3 3<br />
Chenopodium hybridum L. T 4 V-VIII WR Subcirk. 3 4 4 3 3 - 4 4 4<br />
Cirsium arvense (L.) Scop. G 3 VI-VIII WR Subevr. 3 3 4 3 4 + 3 4 3<br />
Consolida regalis S. F. Gray T 2 V-IX WR Subse. 2 5 3 3 3 - 3 4 4<br />
Convolvulus arvensis L. G 3 VI-IX WR Cosm. 2 4 3 3 4 - 4 4 3<br />
Cynodon dactylon (L.) Pers. G 1 VI-VII WR Cosm. 2 3 3 3 3 - 4 5 2<br />
Datura stramonium L. T 4 VI-IX R Cosm. 3 3 4 4 4 + 4 5 2<br />
Heliotropium europaeum L. T 4 VII-IX WR Pont.-subm. 2 4 4 3 3 - 4 5 4<br />
Hibiscus trionum L. T 4 VI-VIII WR Pont.-is.- subm. 3 3 3 3 4 - 4 5 4<br />
Lamium amplexicaule L. T 1 III-VII WR Subevr. 2 3 4 4 4 - 4 3 3<br />
Matricaria inodora L. T 4 VI-X WR Evr. 3 3 4 4 4 + 4 3 3<br />
Panicum crus-galli L. T 4-T 4(h) VI-X S Cosm. 3 3 5 3 4 - 3 4 3<br />
Polygonum aviculare L. T 4 V-X R,WR Cosm. 3 3 4 3 5 - 4 3 3<br />
Polygonum lapathifolium L. T 4 VI-IX WR Subcirk. 3 3 4 3 3 - 5 3 3<br />
Portulaca oleracea L. T 4 VI-VIII WR Cosm. 3 3 4 3 4 - 4 4 3<br />
Rumex crispus L. H 3 VI-VIII WR Evr. 3 3 4 2 4 + 4 3 3<br />
Senecio vulgaris L. T 1 III-XI WR Evr. 3 3 4 3 4 - 4 4 3<br />
Setaria glauca ( L.) P.B. T 4 VI-X WR Cosm. 2 3 4 2 3 - 4 4 3<br />
Setaria viridis (L.) P.B. T 4 VI-X WR Subevr. 2 3 4 2 4 - 4 4 3<br />
Sinapis arvensis L. T 3 V-IX WR Subevr. 3 4 4 3 4 - 4 4 3<br />
Solanum nigrum L. T 4 VI-X WR Cosm. 3 4 4 3 4 - 4 4 3<br />
Sonchus oleraceus L. T 4 VI-X WR Subevr. 3 4 4 3 4 - 4 4 3<br />
Sorghum halepense (L.) Pers. G 1 VI-VII WR Cosm. 1 2 3 3 3 - 4 5 3<br />
Stachys annua L. T 4 VI-X WR Subpont-subm. 2 4 2 3 4 - 4 4 4<br />
Stellaria media ( L.) Vill. T 1 I-XII (III-V) WR Cosm. 3 3 4 3 4 - 3 3 3<br />
T- therophytes; G – geophytes, H – hemicryptophytes; W – weed species; WR weed-ruderal species; R – ruderal species; S – segetal weeds; MW – meadow weed; FW – forest weed; Adv. – Adventive; Evr.-<br />
Eurasian, Cosm. – Cosmopolitan; Cirk.- Circumpolar; Subevr. – Sub-Eurasian; Subcirk. – Sub-circumpolar; Subse. – Sub-Central European; Pont.-subm. – Pontic–dub-Mediterranean; Pont.-is. – subm. –<br />
Pontic–east sub-Mediterranean; Subpont-subm. – Sub-Pontic–sub-Mediterranean.<br />
32
Ecological and plant-geographic analysis of the weed flora in organic production ...<br />
%<br />
70<br />
60<br />
50<br />
40<br />
30<br />
20<br />
10<br />
0<br />
T1 T2 T3 T4 G1 G3 H3 H5<br />
Figure 1. Percentage values of life forms of the weed flora of<br />
brassicas<br />
The analysis of the ecological index for humidity indicated a<br />
predominance of mesophytes, labeled with the index F 3 (51.43%, 18<br />
taxa), and a significant percentage of sub-xerophytes, labeled with the<br />
index F 2 (45.71%, 16 taxa), which are adapted to relatively dry sites.<br />
Only one taxon (2.86%) was adapted to dry sites. The mean value of<br />
this index (2.5) was also an indication of a moderate humidity of the<br />
soil substrate at the studied site.<br />
The analysis of the ecological index for soil chemical reaction<br />
indicated a predominance of neutrophilic plants labeled with the<br />
index R 3 (71.42%, 25 taxa). Indicators of a neutral to a slightly<br />
aMWaline soil substrate labeled with the index R 4 were present at the<br />
rate of 22.86% (8 taxa), and only one taxon (2.86%) was adapted to<br />
each acid (R 2 ) and aMWaline (R 5 ) substrates. The mean value of this<br />
ecological index, amounting to 3.3, indicated the presence of a<br />
neutral to a slightly aMWaline soil substrate.<br />
The analysis of the ecological index for the content of<br />
nitrogen and nitrogen-containing compounds showed a predominance<br />
of indicators of eutrophic conditions of the site labeled with the index<br />
N 4 (71.42%, 25 taxa). Indicators of a moderate abundance of nitrogen<br />
(N 3 ) were also present in significant numbers (22.86%, 8 taxa). Only<br />
one taxon (2.86%) was adapted to each low (N 1 ) and very high (N 5 )<br />
contents of biogenous mineral substances. The eutrophic conditions<br />
of the site were also confirmed by the mean value of this index (3.7).<br />
The analysis of the ecological index for the content of organomineral<br />
substances (humus) demonstrated a predominance of<br />
indicators of a medium humus content labeled with the index H 3<br />
(74.29%, 26 taxa). Indicators of a low humus content, labeled with<br />
the index H 2 , were present in a low percentage (14.29%, 5 taxa).<br />
33
A. Knežević et al.<br />
Only 11.42% or 4 taxa showed the presence of a high humus level<br />
(H 4 ). The mean value of this indicator confirmed the prevalence of a<br />
medium humus content at the studied site (3.0).<br />
The analysis of the ecological index for soil dispersion<br />
(aeration) showed that the soil substrate was well aerated, with a<br />
predominance of indicators labeled with the index D 4 (68.57%, 24<br />
taxa). There was a significant proportion of indicators of very good<br />
aeration, labeled with the index D 3 (25.71%, 9 taxa). Only one taxon<br />
(2.86%) was adapted to each exceptionally good aeration (D 2 ) and<br />
exceptionally poor aeration (D 5 ). The good aeration of the soil<br />
substrate was also indicated by the mean value of this ecological<br />
index (3.7).<br />
The analysis of the ecological index for salinity indicated that<br />
the studied site was not saline, with a predominance of indicators<br />
labeled with the index S - (82.86%, 29 taxa). Presence of sporadic<br />
saline spots was indicated by a low percentage of taxa adapted to an<br />
increased content of Na + ions in the soil substrate (17.14%, 6 taxa).<br />
The analysis of the ecological index for light demonstrated a<br />
predominance of indicators labeled with the index L 4 (82.86%, 29<br />
taxa). Low percentages were registered for both, the indicators of<br />
semi-shade (L 3 – 11.42%, 4 taxa) and the indicators of very sunny<br />
sites (L 5 – 5.72%, 2 taxa). The high light intensity at the studied site<br />
was indicated by the mean value of this ecological index (3.9).<br />
The analysis of the ecological index for temperature showed a<br />
predominance of indicators of warm sites labeled with the index T 4<br />
(51.43%, 18 taxa). Lower percentages were registered for indicators<br />
of moderately warm sites, labeled with the index T 3 (28.57%, 10<br />
taxa) and indicators of very warm sites labeled with the index T 5<br />
(20.00%, 7 taxa). The favorable thermal regimen was confirmed by<br />
the site's mean value of this index (3.9).<br />
The analysis of the ecological index for continentality<br />
provided indication of moderately continental conditions of the<br />
studied site. The predominant plant indicator species were labeled<br />
with the index K 3 (74.28%, 26 taxa). A lower percentage was<br />
registered for the indicators of true continental conditions, labeled<br />
with the index K 4 (20.00%, 7 taxa). Only two taxa (5.72%) were<br />
indicators of sub-oceanic climate, those labeled with the index K 2 .<br />
The mean value of this index (3.1) confirmed the moderately<br />
continental climatic conditions of the studied area (Figure 2).<br />
34
Ecological and plant-geographic analysis of the weed flora in organic production ...<br />
100<br />
90<br />
80<br />
70<br />
60<br />
%<br />
50<br />
40<br />
30<br />
20<br />
10<br />
0<br />
F1 F2 F3 R2 R3 R4 R5 N2 N3 N4 N5 H2 H3 H4 D2 D3 D4 D5 S- S+ L3 L4 L5 T3 T4 T5 K2 K3 K4<br />
Figure 2. Percentage values of ecological indices of the weed flora of<br />
brassicas<br />
The plant-geographic analysis showed that 88.56% or 31 of<br />
the analyzed taxa belonged to plant species of wide distribution<br />
(40.00% or 14 cosmopolitan taxa, 5.72% or 2 sub-circumpolar taxa,<br />
2.86% or 1 circumpolar taxon, 17.14% or 6 sub-Eurasian taxa,<br />
11.42% or 4 Eurasian taxa, 11,42% or 4 adventive taxa). This was<br />
quite expected, since this analysis dealt with a weed sinusia.<br />
Four of the analyzed taxa 4 or 11.44% belonged to plant<br />
species of narrow distribution (2.86% or one Central European taxon,<br />
2.86% or one sub-Pontic–sub-Mediterranean taxon, 2.86% or one<br />
Pontic–sub-Mediterranean taxon, 2.86% or one Pontic–east sub-<br />
Mediterranean taxon). Since Consolida regalis is classified as a<br />
Central European plant according to Gajić (Gajić, 1980) and an<br />
Eurasian plant of Mediterranean origin according to Soό (Soό, 1966),<br />
we concluded that all of the analyzed species of narrow distribution<br />
were of Mediterranean provenience. The presence of plants of<br />
Mediterranean origin is due to the anthropogenic influence because<br />
the hoeing practice tends to increase the thermophilicity of the site<br />
(Figure 3).<br />
35
A. Knežević et al.<br />
%<br />
50<br />
45<br />
40<br />
35<br />
30<br />
25<br />
20<br />
15<br />
10<br />
5<br />
0<br />
Cosm.<br />
Subcirk.<br />
Cirk.<br />
Subevr.<br />
Evr.<br />
Adv.<br />
Subse.<br />
Subpont.-subm.<br />
Pont.-subm.<br />
Pont.-is.-subm.<br />
Figure 3. Percentage values of floristic elements of the weed flora of<br />
brassicas<br />
The weed flora present in the organic production of brassicas<br />
was well adapted to the ambient conditions and it was found to have a<br />
long flowering period. Life form is a reflection of plant adaptation to<br />
the conditions prevailing in a given site. The predominant taxa in the<br />
studied agroecosystem were therophytes, which is characteristic for<br />
weed flora in general (Kojić et al., 1972).<br />
The observed weed flora was indicative of a moderately<br />
moist, neutral soil substrate rich in biogenous mineral substances and<br />
with a medium humus content, well-aerated, non-saline, with<br />
favorable light and thermal regimes, all of these features fitting the<br />
conditions of the moderately continental climate. The ecological<br />
conditions prevailing at the studied site were mostly in agreement<br />
with the ecological requirements of the dominant species – Brassica<br />
oleracea (F 3 R 3 N 5 H 3 D 4 S – L 4 T 4 K 2 ), which also confirmed that the<br />
weed sinusia was adapted to the conditions created by the cultivated<br />
crop.<br />
In light of the aforesaid, the resident weeds obviously tended<br />
to mechanically suppress the cultivated plants and reduce the<br />
amounts of available nutrients and water in the soil. Their permanent<br />
control is therefore necessary, which in this particular case was<br />
actually done by hoeing.<br />
However, beneficial action of weeds has also been noted. In<br />
periods of extreme drought, weeds prevented excessive soil drying<br />
36
Ecological and plant-geographic analysis of the weed flora in organic production ...<br />
and thus contributed to higher yields of the cultivated brassica crops<br />
(Knežević et al., 2008).<br />
In the course of brassica production, there is a period when<br />
weeds are permitted to grow. This period lasts from weed occurrence<br />
until the beginning of their large-scale flowering and seed maturation.<br />
If weeds are removed before they reach the stages of full flower or<br />
seed maturity, because they are mostly therophytes (in our case, 28<br />
out of the 35 weed species registered were therophytic), their<br />
numbers will be brought down to a tolerable level in the subsequent<br />
growing season.<br />
References<br />
ČANAK, M., PARABUĆSKI, S., KOJIĆ, M., 1978: Ilustrovana korovska flora<br />
Jugoslavije. Matica srpska. Novi Sad.<br />
GAJIĆ, M., 1980: Pregled vrsta flore SR Srbije sa biljnogeografskim oznakama.<br />
Glasnik Šumarskog fakulteta, serija A “Šumarstvo” 54, 111 -141 .<br />
Beograd.<br />
JOSIFOVIĆ, M. (ed.),1970-1980: Flora SR Srbije, 1-10, SANU, Beograd.<br />
JÁVORKA, S., CSAPODY, V., 1975: Iconographie der Flora des Südostlichen<br />
Mitteleuropa. Akademiai Kiado, Budapest.<br />
KNEŽEVIĆ, A.,1994: Monografija flore vaskularnih biljaka na slatinama u<br />
regionu Banata (Jugoslavija). Matica srpska, Novi Sad.<br />
KNEŽEVIĆ, A., STOJANOVIĆ, S., MAŠIREVIĆ, S., NIKOLIĆ, LJ.,<br />
LJEVNAIĆ, B. 2008: Korovi kao vektori bolesti i štetočina u organskoj<br />
proizvodnji povrća. Zbornik radova sa naučno–stručnog skupa<br />
»Savremene tehnologije za održivi razvoj gradova, Banja Luka.<br />
KOJIĆ, M., STANKOVIĆ, A., ČANAK, M., 1972: Korovi – biologija i suzbijanje.<br />
Institut za zaštitu bilja, poljoprivredni fakultet u Novom Sadu.<br />
KOVAČEVIĆ, D., 2008: Njiski korovi - biologija i suzbijanje. Poljoprivredni<br />
fakultet Zemun, 1- 506.<br />
LANDOLT, E.,1977: Ökologische Zeigerwerte zur Schweizer Flora.<br />
Offentlichungen der Geobotanishen Institutes der ETH, Stiftung Rübel,<br />
Zürich, 64 Heft.<br />
ŽIVKOVIĆ, B., NEJGEBAUER, V., TANASIJEVIĆ, Đ., MILJKOVIĆ, N.,<br />
STOJKOVIĆ, L., DREZGIĆ, P., 1972: Zemljišta Vojvodine. Institut za<br />
poljoprivredna istraživanja, Novi Sad, 1-685.<br />
SOÓ, R. 1966: A magyar flora es vegetacio rendszertani-novenyfoldrajzi<br />
kezikonyve, 1-7. Akademiai kiado, Budapest.<br />
TUTIN, G., HEYWOOD, V.H., BURGES, N.A., VALENTINE, D.H., WALTERS,<br />
S.M., WEBB, D.A. (ed.), 1964-1980: Flora Europea, 1-5, University<br />
press, Cambridge.<br />
UJVÁROSI, M.,1973: Gymnövények. Mezőgazdasági Kiado, Budapest, 1-833.<br />
37
Herbologia Vol. 9, No. 2, 2008.<br />
DISTRIBUTION OF ASCLEPIAS SYRIACA L. ON THE<br />
TERRITORY OF VOJVODINA AND POSSIBILITIES OF ITS<br />
CONTROL<br />
Branko Konstantinović, Maja Meseldžija, Nataša Mandić<br />
Poljoprivredni fakultet Novi Sad, Departman za fitomedicinu i<br />
zaštitu životne sredine,<br />
Trg Dositeja Obradovića 8, 21 000 Novi Sad, E-mail: brankok@polj.ns.ac.yu<br />
Abstract<br />
Genus Asclepias comprises about 150 species, of which some<br />
are grown as horticultural plants, some as melliferous, and some as<br />
medical ones. In our country common milkweed or wild cotton<br />
(Asclepias syriaca L.) is one of invasive weed species that belongs to<br />
the family Asclepiadaceae. Common milkweed is heliophytic species<br />
distributed along roads, near forests, beside rivers on sandy and<br />
fertile solils. At Vojvodina territory it can be found near the Danube<br />
and Tisa rivers and near some smaller rivers in Vojvodina and Srem.<br />
The species propagates by seed or propagative roots that form<br />
adventitious buds that develop into new individuals. Common<br />
milkweed is used for obtaining of industrial fiber and as a mellifluent<br />
plant. In folk medicine, common milkweed leaves is used against<br />
cancer, tumor and skin warts. Plant parts of Asclepias syriaca L. are<br />
also known as folk medicine for asthma, bronchitis, cancer, cough,<br />
sneeze, dysentery, weak digestion, gewer, gonorrhea and rheumatism.<br />
This weed species invades fields with reduced tillage and insufficient<br />
use of <strong>herb</strong>icides, fertilizers and irrigation. It is easily adapted to<br />
fertile soil types. As weed species it occurs in maize crops. In our<br />
country Asclepias syriaca L. is a quarantine weed species from the<br />
list A2, list of harmful organisms that have been determined at the<br />
territory of the Republic of Serbia.<br />
Some <strong>herb</strong>icides are recommended for this weed’s control.<br />
Key words: common milkweed, distribution, control<br />
Introduction<br />
Common milkweed or wild cotton (Asclepias syriaca L.) is<br />
one of invasive weed species in our country, it belongs to the family<br />
Asclepiadaceae. Genus Asclepias comprises about 150 species of<br />
which some are grown as horticultural plants, some as melliferous,<br />
and some as medical ones (Konstantinovic et al., 2005). The most
B. Konstantinović et al.<br />
distributed species of the genus Asclepias are: A. asperula, A.<br />
incarnata, A. latifolia, A. linearis, A. obovata, A. oenotheroides, A.<br />
perennis, A. syriaca, A. texana, A. tuberose, A. verticillata, A.<br />
viridiflora, and A. viridis. Common milkweed (Asclepias syraca L.)<br />
originates from North America and at the beggining of the ninteenth<br />
century it was introduced into Europe. This species is found in many<br />
European countries such as Austria, Bulgaria, Czech Republic,<br />
Slovakia, France, Switzerland, Italy, Hungary, Poland, Romania,<br />
central part of Russia and countries of former Yugoslavia, especially<br />
in parts with mild winters (Tutin et al., 1972).<br />
Habitat<br />
Common milkweed is a heliophytic species distributed along<br />
roads, near forests, beside rivers on sandy and fertile solils. At<br />
Vojvodina territory it can be find near Danube and Tisa and near<br />
some smaller rivers in Vojvodina and Srem. On UTM map of<br />
Vojvodina, Igic et al., (2003) distribution of A. syriaca is represented<br />
based upon terrain studies and literature data (Konstantinovic et al.,<br />
2003). Vrbnicanin et al. (2008) gave spatial distribution of this<br />
species at UTM network for the territory of whole Serbia. Woodson<br />
(1964) and Dyon (1958) both report that the habitual distribution of<br />
this plant is limited by 18 and 32 o C mean July temperatures in the<br />
north and south respectively and growth is dependant on adequate<br />
levels of rainfall in the three summer months. Excessive moisture<br />
may be inhibitory and best sites offer warm and dry soils that benefit<br />
from good exposure and drainage, the best growth rates achieved in<br />
30% of full sun (Berkman, 1949).<br />
Morphology<br />
Common milkweed is a perennial <strong>herb</strong>age weedy species with<br />
perpendicular stem that grows up to 150 cm in height (picture 1).<br />
Leaves are narrow elliptic, with light green down side, and dark green<br />
from the upper one. Flowers are coarse, pale pink to red in color.<br />
Fruits are elliptical, 6-10 cm in length, narrow from the both sides<br />
with thick hairs. Seed is oval, flat, brown with wide, ramply. Seed is<br />
egg like and oblate, with broad corrugated endings and foretop. All<br />
plant parts contain great quantity of milky juice that is poisonous due<br />
to glycoside contents harmful to hart. The sprouts contain<br />
asclepiadin, nicotine, β-sitosterol, α and β-amyrin and tannin (List<br />
and Horhammer, 1969-1979).<br />
40
Distribution of Asclepias syriaca L. On the territory of Vojvodina and ...<br />
Picture 1. Asclepias syriaca L.<br />
Biology and ecology of the species<br />
The species propagates by seeds and by underground<br />
rootstocks that develop adventitious buds which give rise to new<br />
individuals. Sprouting generally occurs during the first year of<br />
seedling growth but will take place anytime during the growing<br />
season if the plant or rootstock is disturbed. The parts of root can<br />
survive for two or more growing seasons. In northern half of its<br />
distribution aerial shoots emerge in April-May with active growth<br />
following the arrival of warmer waether and with increased foliage<br />
survace-root development commences (picture 3). The root begins<br />
its growth during spring and continues to develop durign sumer,<br />
while majority of shoots become senscent. Flowering occurs in late<br />
June-July and generally only on mature plants. Seedlings do not<br />
flower during their first year og growth (Bhowmik and Bandeen<br />
1970).<br />
41
B. Konstantinović et al.<br />
Picture 2. Flowering of milkweed<br />
The species is described as being highly self-fertile (Moore,<br />
1947) and is generally pollinated by wasps and bees with only about<br />
2% of the flowers producing mature pods. Studies by Bhowmik and<br />
Bandeen (1976) show that an average plant produces 4–6 pods, each<br />
with 150-425 seeds. Seed pods split open early in the fall (September<br />
- October in northern regions), and the mature seeds are dispersed by<br />
the wind. Short to long distance dispersal is accomplished by seeds,<br />
but common milkweed also has the capability to multiply<br />
vegetatively. Within a period of 18-21 days after emergence,<br />
seedlings produce buds on the main root close to the ground surface<br />
(Bhowmik and Bandeen, 1970). Increase in number of new seedlings<br />
can be up to 21% when the top growth is removed (Evetts and<br />
Burnside, 1972).<br />
Common milkweed is used for obtaining of industrial fibre<br />
and as food-plant for bees. The seeds contain up to 20% of an edible,<br />
semi-drying oil (List and Horhammer, 1969-1979).<br />
According to Hager‘s Handbuch (List and Horhammer, 1969-<br />
1979), the latex contains 0.1-1,5% caoutchouc, 16-17% dry matter<br />
and 1.23% ash. It also contains α- and β- asclepiadin, the antitumor<br />
β-sitosterol and α- and β-amyrin and its acetate, dextrose and wax.<br />
Condurangin has also been reported from the seed, with at least 9<br />
active cardenolids, among them uzarigenin, desgiucouzarin,<br />
syriogenin, syriobioside, as well as xysmalogenin (List and<br />
Horhammer, 1969-1979).<br />
In folk medicine common milkweed leaves is used against<br />
cancer, tumor and skin warts (Hartwell, 1967-1971). Plat parts of A.<br />
42
Distribution of Asclepias syriaca L. On the territory of Vojvodina and ...<br />
syriaca are known as folk medicine for asthma, bronchitis, cancer,<br />
cough, sneeze, dysentery, weak digestion, gewer, gonorrhea and<br />
rheumatism (Duke and Wain, 1981; Kloss, 1939; Erichsen-Brown,<br />
1979). In India A. syriaca fibres are used for paper production<br />
(Spiridon, 2007).<br />
Distribution<br />
Originally from eastern North America, the plant is found in<br />
southern Manitoba and all the eastern provinces except<br />
Newfoundland (Frankton and Mulligan, 1987). The geographical<br />
distribution of this weed in North America is 35 o and 50 o nort<br />
latitude and 60 o and 103 o west longitude (Woodson, 1954; Doyon,<br />
1958). The greatest population were found in the southern parts of<br />
Canada, Ontario and Quebec (Bhowmik and Bandeen, 1976).<br />
According to literature data, A. syriaca was an early introduced<br />
species from North America to southern Europe (Bhowmik and<br />
Bandeen, 1976). By the end of 20 and at the beginning of 21 century<br />
in central and eastern Europe the invasion of exotic plants was<br />
significantly increased. Hungary belongs to transitional zone between<br />
deciduous forests and prairie in which this species also spreads<br />
(Kovacs-Lang et al. 2000).<br />
This weed species invades fields with reduced tillage and<br />
insufficient use of <strong>herb</strong>icides, fertilizers and irrigation (Cramer and<br />
Burnside 1981). It does not depend upon soil pH nor altitude and it is<br />
easily adapted to fertail soil types (Evetts 1977). As weed species it<br />
occurs in maize crops. In our country Asclepias syriaca L. is<br />
quarantine weed species from the list A2 (Anonymus, 2008).<br />
Possibilities of control<br />
Basic soil cultivation will result in removal of common<br />
milkweed seedlings in age of three weeks only. Mowing three times a<br />
year will eliminate and destroy common milkweed. A. syriaca will be<br />
eliminated also by sowing of winter cultures. As it is quarantine<br />
species, its introduction with the seed material is prevented .<br />
Various <strong>herb</strong>icides are used depending upon plant<br />
development phase and time of <strong>herb</strong>icide use (Cramer and Burnside,<br />
1981). Herbicide use includes seedlings treatment (Burnside, 1977).<br />
Herbicides for the control of this weed species in the world are:<br />
metribuzine, EPTC, atrazine, as well as their combination. Herbicide<br />
combination that proved to be highly efficient is amitrole and<br />
43
B. Konstantinović et al.<br />
glyphosate. Herbicide combinations and formulations include also<br />
2,4-D, mecoprop, dicamba, and MCPA, that destroy parts of plants or<br />
the plant in whole (Bandeen, 1971, Evetts and Burnside, 1972).<br />
Results obtained by glyphosate use in rate of 2,2 kg ha -1 in early<br />
phase proved as good, as well as <strong>herb</strong>icide combination of glyphosate<br />
and amitrole in later phase (picture 3). Glyphosate showed good<br />
efficiency in many cases. However, if it is applied in full plant<br />
growth or in later develophment phases, i.e. after 4-6 developed<br />
leaves, rates of even 8 l ha -1 of glyphosat has no efficiency.<br />
Picture 3. Milkweed after treatment with 3,84 l ha -1 a.m. glyphosate<br />
in drainage canals<br />
References<br />
ANONYMUS, 2008. Laboratorija za invazivne korove. Available at<br />
http://polj.ns.ac.yu/~korovi/asclepias_syriaca.html<br />
BANDEEN, JD., 1971. Milkweed control. Res. Rep. Can. Weed Comm. East. Sect.<br />
234-234.<br />
BERKMAN, B., 1949. (In: Bhowmik, Bandeen. 1976) Milkweed-A war strategic<br />
material and a potential industrial crop for sub-marginal lands in the<br />
United States. Econ. Bot. 3:223-239.<br />
BHOWMIK, PC., BANDEEN, JD. 1970. Life history of common milkweed. Weed<br />
Sci. Soc. Amer. Abstr. No. 12. Asclepias syriaca L. Can. J. Plant Sci. 56:<br />
579-589.<br />
BHOWMIK, PC., BANDEEN, JD. 1976. The biology of Canadian weeds. 19.<br />
44
Distribution of Asclepias syriaca L. On the territory of Vojvodina and ...<br />
Burnside, O. 1977. Cultural, mechanical, and chemical control of common<br />
milkweed. Proc. Annu. Meet. North Cent. Weed. Control. Conf. 32:107-<br />
110.<br />
CRAMER, GL., BURNISIDE, O. C. 1981. Control of common milkweed<br />
(Asclepias syriaca) with postemergence <strong>herb</strong>icides. Weed. Sci. 29:636-<br />
640.<br />
ČANAK, M., PARABUĆSKI, S., KOJIĆ, M. 1978. Ilustrovana korovska flora<br />
Jugoslavije. Matica Srpska. Novi Sad.<br />
DOYONO, D. 1958 (In: Bhowmik,Bandeen. 1976): Etude de la distribution<br />
géographique de l´asclépiade commune (Asclepias syriaca L.) En<br />
Amérique du Nord. Rapp. Soc. Québec Protect. Plantes 40: 91-113.<br />
DUKE, J.A., WAIN, K.K. 1981. Medicinal plants of the world. Computer index<br />
with more than 85,000 entries. 3 vols.<br />
HARTWELL, J.L. 1967-1971. Plants used against cancer. A survey. Lloydia 30–<br />
34.<br />
ERICHSEN-BROWN, C. 1979. Use of plants for the past 500 years. Breezy Creeks<br />
Press. Aurora, Canada.<br />
EVETTS, L. 1977. Common milkweed-the problem. Proc. Annu. Meet. North.<br />
Cent. Weed Contr. Conf. 32:96-99.<br />
EVETTS, L., BURNISIDE,OC. (1972) (In: Bhowmik, Bandeen. 1976)<br />
Germination and seedlings development of common milkweed and other<br />
species. Weed Sci. 20:371-378.<br />
FRANKTON, C., MULLIGAN, GA. (1987): Weeds of Canada. Publication 948,<br />
NC Press, Agriculture Canada.<br />
IGIĆ, R., BOŽA, P., ANAČKOV, G., VUKOV, D., POLIĆ, D., BORIŠEV, M.<br />
2002-2003. Asclepias syriaca L. (cigansko perje) u flori Vojvodine.<br />
Zbornik radova Prirodno-matematičkog fakulteta, serija za biologiju, Novi<br />
Sad, 26-32.<br />
KLOSS, J. 1939. Back to Eden. Woodbridge Press Publishing Co., Santa Barbara,<br />
CA.<br />
KOVÁCS-LÁNG, E, KRÖEL-DULAY GY, KERTÉSZ M, FEKETE G, BARTHA<br />
S, MIKA J, DOBI-WANTOUCH I, RÉDEI T, RAJKAI K and HAHN I<br />
2000. Changes in the composition of sand grasslands along a climatic<br />
gradient in Hungary and implications for climate change. Phytocoenologia<br />
30: 385-407.<br />
LIST, P.H., HORHAMMER, L. 1969-1979. Hager’s Handbuch der<br />
pharmazeutischen Praxis. Vols. 2-6. Springer-Verlag, Berlin.<br />
MOORE, RJ. 1947. (In: Bhowmik, Bandeen.1976): Investigations on rubberbearing<br />
plants. V. Notes on the flower biology and pod yield of Asclepias<br />
syriaca L. Can. Field Natur. 61:40-66.<br />
SPIRIDON, I. 2007. Modifications of Asclepias syriaca fibers for paper<br />
production. Industrial Crops and Products, 26:265-269.<br />
TUTIN, T.G., HEYWOOD, V.H., BURGES, N.A., MOORE, D.M., VALENTINE,<br />
D.H., WALTERS, S.M., WEBB, D.A. 1972. Flora Europa III. Cambrige<br />
University Press, Cambrige.<br />
VRBNIČANIN, S., MALIDŽA, G., STEFANOVIĆ, S., ELEZOVIĆ, I.,<br />
STANKOVIĆ-KALEZIĆ R., JOVANOVIĆ-RADOVANOV, K.,<br />
MARISAVLJEVIĆ, D., PAVLOVIĆ, D., GAVRIĆ, M. (2008): Mapping<br />
of invasive non-native weed species in Serbia. Book of Abstracts Meeting<br />
Invasive Species, Osijek, Croatia, 23.<br />
45
B. Konstantinović et al.<br />
WOODSON RE, Jr. 1954. (In: Bhowmik, Bandeen. 1976) The North American<br />
species of Asclepias L. Ann. Mo. Bot. Gard. 41.<br />
46
Herbologia Vol. 9, No. 2, 2008.<br />
A STUDY OF ALLELOPATHIC EFFECT OF Amaranthus<br />
retroflexus (L.) AND Solanum nigrum (L.) IN DIFFERENT<br />
SOYBEAN GENOTYPES<br />
Aksenia Aleksieva, Plamen Marinov-Serafimov<br />
Institute of Forage Crops, Pleven, Pavlikeni Branch, Bulgaria<br />
aaleksieva@abv.bg; plserafimov@abv.bg<br />
Abstract<br />
Allelopathic effect of cold aqueous extracts from Solanum<br />
nigrum (L.) and Amaranthus retroflexus (L.) on seed germination and<br />
primary seedling growth and development was studied in different<br />
soybean genotypes with the purpose of finding accessions with an<br />
allelopathic potential and their inclusion as components in future<br />
breeding programmes. The aqueous extracts from S. nigrum and A.<br />
retroflexus suppressed the seed germination of the studied soybean<br />
genotypes by 41 to 78%, but this effect was statistically significant<br />
only in the variety Srebrina and line No. 5 a . The aqueous extract from<br />
A. retroflexus showed a more pronounced allelopathic effect on the<br />
studied soybean genotypes, as compared to those from S. nigrum.<br />
The studied varieties showed different susceptibility to the<br />
allelopathic effect of the S. nigrum and A. retroflexus extracts, which<br />
was due to their genetic differences. The varieties Mira and Divna<br />
possess allelopathic potential, because no significant allelopathic<br />
effect of the used extracts on them was found. These varieties can be<br />
used as components in future breeding programmes.<br />
Keywords: inhibition, weed extracts, allelopathic potential, soybean genotypes<br />
Introduction<br />
In the last decades the research work was focused on the study<br />
of allelopathic interrelations between cultivated plants and weed<br />
species with the purpose of finding varieties with high allelopathic<br />
potential (Rice, 1995). The discovery of varieties with high<br />
allelopathic potential provides a possibility for decrease of the inputs<br />
in agricultural crop growing and production of ecologically pure<br />
foods (Labrada, 2003).<br />
According to Ebana et al (2001), allelopathy can be<br />
considered as a means in the breeding programmes for biological<br />
control against weeds. Accessions with high allelopathic potential<br />
were discovered in many crops, such as: beet (Beta vulgaris L.),<br />
lupine (Lupinus lutens L.), maize (Zea mays L.), wheat (Triticum
A. Aleksieva and P. Marinov-Serafimov<br />
aestivum L.), oat (Avena sativa L.), pea (Pisum sativum L.), etc.<br />
(Rice, 1995). Fujii (1992) found that in rice there were also variety<br />
differences in allelopathic potential.<br />
Weed infestation of soybean stands in Bulgaria is of a mixed<br />
type with predominance of the annual late spring weeds (from 58 to<br />
92%) and they deteriorate the quality of the obtained produce and<br />
decrease the grain yield (Lyubenov, 1988). Prevailing weeds in the<br />
soybean stands for the conditions of Central North Bulgaria are<br />
Amaranthus retroflexus (L.) and Solanum nigrum (L.) (Marinov-<br />
Serafimov, Dimitrova, 2007). It was found that aqueous extracts from<br />
Amaranthus retroflexus (L.) and Solanum nigrum (L.) inhibited the<br />
germination and initial development of soybean seeds (Stoimenova,<br />
2002; Bensch et al., 2003), but there is no data on variety differences<br />
with regard to crop susceptibility.<br />
In the literature there is data on variety differences with regard<br />
to the allelopathic potential in different crops (Weston, 1996;<br />
Kostadinova et al., 2002; Labrada, 2003; Iman et al, 2006). In<br />
Bulgaria no results have been published till now concerning<br />
discovery of varieties with allelopathic potential.<br />
The objective of this study was to determine the allelopathic<br />
effect of cold aqueous exctracts from Solanum nigrum (L.) and<br />
Amaranthus retroflexus (L.) on seed germination and primary<br />
seedling growth and development in different soybean genotypes and<br />
discovery of accessions with allelopathic potential to be included as<br />
components in future breeding programmes.<br />
Material and methods<br />
The study was conducted in 2007 in the laboratory of the<br />
Institute of Forage Crops in Pleven, Pavlikeni Branch, Bulgaria.<br />
Collection and Preparation of Plant Material<br />
Seeds of newly developed Bulgarian soybean lines, varieties<br />
and candidate varieties through different breeding methods were used<br />
(Table 1).<br />
Table 1. Soybean genotypes investigated<br />
№ Genotypes Mode of creation Maturity group<br />
1 Mira 96 – variety<br />
Experimental<br />
mutagenesis<br />
Middle early II<br />
2 Srebrina – variety Hybridization Middle early II<br />
3 Divna – candidate – Hybridization Ultra early 00<br />
48
A study of allelopathic effect of Amaranthus retroflexus (L) and Solanum ...<br />
variety<br />
4<br />
Karina - candidate –<br />
Middle early II<br />
Hybridization<br />
variety<br />
5<br />
Avigea – candidate –<br />
variety<br />
Hybridization Early I<br />
6 No. 5 а – Line Hybridization Early I<br />
7 М – 18/4 –Line<br />
Experimental<br />
mutagenesis<br />
Middle late III<br />
8 No. 21 – Line<br />
Interspecific<br />
hybridizatoin<br />
Ultra early- 00<br />
The seeds of the studied accessions were harvested in 2007.<br />
Above-ground biomass of Amaranthus retroflexus (L.) and Solanum<br />
nigrum (L.) was collected at the flowering stage of the weeds from<br />
experimental plots with a natural background of weed infestation.<br />
The plant material from the available weed species was dried to<br />
constant dry weight at 55 ± 3 0 С (Chon and Nelson, 2001).<br />
Preparation of Weed Extracts<br />
Eighty g of each weed species were cold extracted in 1 l<br />
distilled water at a temperature of 24 ± 2 0 С for 24 h in a shuttle<br />
apparatus at 240 rotations/minute. The obtained extracts were<br />
decanted, filtered with filter paper and centrifuged in „К24”<br />
centrifuge at 5000 rotations/minute. All available aqueous extracts<br />
were brought to final concentrations of 20, 40, 60 and 80 g dry<br />
biomass per liter distilled water (g/l), 2.0, 4.0, 6.0 and 8.0%,<br />
respectively. One g/l C 10 H 14 O was added to each extract as a<br />
preserving agent (Marinov–Serafimov et al., 2007).<br />
Bioassay Techniques<br />
In order to assess the effect of the tested cold aqueous extracts<br />
from A. retroflexus, and S. nigrum on the seed germination of test<br />
plants, 10 seeds of each genotypes were placed in Petri dishes, 90<br />
mm in diameter on filter paper. The extracts were pipetted in each<br />
Petri dishes in ratio 1:6 to seed weight (Serafimov et al., 2007).<br />
Distilled water was used as a control. Each variant had eight<br />
replications.<br />
The so prepared samples were placed in a thermostat at a<br />
temperature of 22 0 С ± 2 0 С (Moyer and Huang, 1997) for seven days<br />
(Adetayo et al., 2005, Liebman and David, 2006). The following<br />
parameters have been determined: initial seedling length (root +<br />
hypocotyl) (cm). Inhibition effect (in %) (IE) of the extracts on the<br />
germination and formation fresh biomass in g/germ was calculated<br />
49
A. Aleksieva and P. Marinov-Serafimov<br />
following the formula forwarded by Ahn and Chung, 2000: IE =<br />
[(Control-Aqueous extracts)/Control)] x 100.<br />
Statistical analysis<br />
The percentage of seed germination was performed after<br />
preliminary transformation following the formula<br />
= arcsin x / 100 forwarded by (Hinkelmann and Kempthorne,<br />
Y<br />
%<br />
( )<br />
1994) and have treated statistically by through the converted<br />
Fischer’s test by the „φ” method of Fischer (Plohinskii, 1967). The<br />
results obtained was calculated by programe product<br />
STATGRAPHICS Plus for Windows Version 2.1 at LSD 0.05%.<br />
Results and discussions<br />
The effect of aqueous extracts from A. retroflexus and S.<br />
nigrum on seed germination of the studied genotypes was in the<br />
following order: slight stimulatory effect – up to +4.2% → indifferent<br />
→ different degree of inhibition – from -5.5 tо -43.3%. According to<br />
the percentage of seed germination inhibition, the studied genotypes<br />
can be divided conventionally into three groups: I group ≤10%<br />
(Divna and line No. 21), II group - from 11 tо 20% (Мira, line М -<br />
18/4) and III group ≥21% (Кarina, Аvigea, line No. 5 а , Srebrina). In<br />
variety Mira the S. nigrum extract provoked a slight stimulatory<br />
effect of up to 4.19% (Fig. 1 and 2). The species and concentrations<br />
of the applied extracts had a substantial influence on laboratory seed<br />
germination of the studied soybean genotypes (Table 2). With<br />
increase of the concentrations there was a general tendency to its<br />
decrease in all genotypes by 41 tо 78%, as against the control variant,<br />
but statistical significance for the two extracts was found only in<br />
variety Srebrina and line No. 5 а t krit (P>0.05). Practically, the seed<br />
germination of variety Divna was not influenced by extract species<br />
and concentrations and are not significantly different at t krit<br />
(P
A study of allelopathic effect of Amaranthus retroflexus (L) and Solanum ...<br />
Inhibition effect (in %) (IE)<br />
Seed germination (in %) average for investigated concentrations by different<br />
soybean genotypes<br />
Control<br />
№21<br />
№18/4<br />
№ 5a<br />
Genotypes<br />
Avigea<br />
Karina<br />
Divna<br />
Srebrina<br />
Mira<br />
-50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90<br />
Germination, %<br />
Fig.1. Effect of aqueous extract from Solanum nigrum (L.) on the<br />
seed germination by different soybean genotypes (in %) and<br />
percentage of inhibition<br />
Inhibition effect (in %) (IE)<br />
Seed germination (in %) average for investigated concentrations by different<br />
soybean genotypes<br />
Control<br />
№21<br />
№18/4<br />
№ 5a<br />
Genotypes<br />
Avigea<br />
Karina<br />
Divna<br />
Srebrina<br />
Mira<br />
-50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90<br />
Germination, %<br />
Fig. 2. Effect of aqueous extracts from Amaranthus retroflexus (L.) on the seed<br />
germination by different soybean genotypes (in %) and percentage of inhibition<br />
51
A. Aleksieva and P. Marinov-Serafimov<br />
Table 2. Effect of aqueous extracts from Amaranthus retroflexus (L.)<br />
and Solanum nigrum (L.) on seed germination of different soybean<br />
genotypes, %<br />
Concentrations of aqueous extract g/l<br />
Soybean genotypes Control 20 40 60 80<br />
Seed germination in %<br />
Mira 65 66 ns 69 ns 72 ns 69 ns<br />
Water extract of<br />
Solanum nigrum (L.)<br />
Water extract of<br />
Amaranthus<br />
retroflexus (L.)<br />
Srebrina 72 43* 49 ns 27*** 45*<br />
Divna 80 80 ns 80 ns 80 ns 72 ns<br />
Karina 77 65 ns 51* 51* 51*<br />
Avigea 70 59 ns 51 ns 47 ns 48 ns<br />
Line No. 5 а 82 53** 53** 59** 45***<br />
М – 18/4 65 75 ns 49 ns 57 ns 53 ns<br />
Line No. 21 60 57 ns 53 ns 57 ns 57 ns<br />
Mira 65 72 ns 59 ns 43 ns 51 ns<br />
Srebrina 72 41** 51 ns 53 ns 35***<br />
Divna 80 72 ns 80 ns 80 ns 59 ns<br />
Karina 77 59 ns 63 ns 63 ns 43***<br />
Avigea 70 69 ns 55 ns 51 ns 25***<br />
Line No. 5 а 82 55* 53** 39*** 57*<br />
М – 18/4 65 72 ns 57 ns 39 ns 47 ns<br />
Line No. 21 60 80 ns 49 ns 43 ns 48 ns<br />
Notice: The statistical processing to prove the differences in the seed germination<br />
was performed through the converted Fischer’s test „t φ ” by the „φ” method at<br />
t krit (P≥0.05)*; t krit (P≥0.01)**; t krit (P≥0.001)*** and ns – non significant.<br />
There was a specific variety reaction with regard to the<br />
inhibitory effect of the extracts on primary seedling growth in the<br />
studied genotypes.<br />
The studied concentrations of the S.nigrum extract in most<br />
genotypes did not exert a statistically significant inhibitory effect<br />
(Table 3). A significant inhibitory effect (from 25 to 53%) was<br />
observed only in varieties Srebrina, Karina and line No. 5 a .<br />
The concentrations of the aqueous extract from A. retroflexus<br />
showed a considerably stronger inhibitory effect on the studied<br />
genotypes, as compared to the concentrations of S. nigrum extract.<br />
The concentrations of 40 to 80 g/l provoked an inhibitory effect of 11<br />
to 55% on the primary seedling length of varieties Srebrina, Karina<br />
and lines М–18/4 and No. 21. Line No. 5 а was susceptible to all<br />
studied extract concentrations. A similar specific variety reaction in<br />
soybean and sweet maize was found by Iman et al., 2006.<br />
52
A study of allelopathic effect of Amaranthus retroflexus (L) and Solanum ...<br />
Data from biometric measurements of increase in primary<br />
seedling length allowed objective assessment of allelopathic potential<br />
at the initial stages of their development (Table 3).<br />
Table 3. Effect of aqueous extracts from Solanum nigrum (L.) and<br />
Amaranthus retroflexus (L.) on the growth of initial germ (root +<br />
hypocotyl) by different soybean genotypes, cm<br />
Soybean<br />
Solanum nigrum Amaranthus retroflexus<br />
g/l<br />
genotypes<br />
cm % cm %<br />
Mira<br />
0 3.30 ab (100) 3.30ab (100)<br />
20 4.90b (148) 4.36b (132)<br />
40 4.21ab (128) 3.53ab (107)<br />
60 3.85ab (117) 3.02ab (92)<br />
80 3.06a (93) 2.32a (70)<br />
Srebrina 0 4.71b (100) 4.71b (100)<br />
20 4.38b (129) 3.43ab (101)<br />
40 3.51ab (103) 2.88a (85)<br />
60 3.86ab (114) 3.05a (89)<br />
80 2.54a (75) 2.39a (70)<br />
Divna<br />
0 4.33a (100) 4.33a (100)<br />
20 3.85a (90) 3.72a (87)<br />
40 4.57a (106) 3.38a (79)<br />
60 4.10a (95) 3.64a (85)<br />
80 3.40a (79) 2.68a (62)<br />
Karina<br />
0 4.32b (100) 4.32c (100)<br />
20 4.09ab (95) 3.82bc (88)<br />
40 2.72ab (63) 3.39b (78)<br />
60 2.92ab (68) 2.49a (57)<br />
80 2.54a (59) 2.10a (49)<br />
Avigea<br />
0 4.00a (100) 4.00a (100)<br />
20 4.00a (100) 2.46a (62)<br />
40 3.84a (96) 3.08a (77)<br />
60 2.80a (70) 2.75a (69)<br />
80 2.20a (55) 2.40a (60)<br />
Line No. 5 a 0 5.90b (100) 5.90b (100)<br />
20 4.47ab (76) 3.42a (58)<br />
40 3.76ab (64) 3.16a (54)<br />
60 3.58a (61) 2.99a (51)<br />
80 2.79a (47) 2.71a (46)<br />
M-18/4<br />
Line No. 21<br />
0 4.90a (100) 4.90c (100)<br />
20 4.45a (91) 4.22bc (86)<br />
40 4.52a (92) 3.92abc (80)<br />
60 3.98a (81) 2.40ab (49)<br />
80 3.28a (67) 2.19a (45)<br />
0 3.60a (100) 3.60a (100)<br />
20 5.00a (139) 3.46a (96)<br />
53
A. Aleksieva and P. Marinov-Serafimov<br />
40 5.24a (146) 3.13a (87)<br />
60 3.92a (101) 1.68a (47)<br />
80 3.41a (95) 2.40a (67)<br />
a, b, c LSD at 95% confidence interval<br />
That was probably due to considerably higher used<br />
concentrations of the extract, as compared to those found in the<br />
agrophytocenoses with falling off and decomposition of weed<br />
biomass in soil.<br />
The accumulation of fresh biomass in g per seedling also<br />
depended on extract species and concentrations (Table 4).<br />
Table 4. Effects of aqueous extracts from Solanum nigrum (L.) and<br />
Amaranthus retroflexus (L.) on the fresh biomass accumulation in g<br />
per initial germ (root + hypocotyl) by different soybean genotypes<br />
Soybean<br />
Solanum nigrum Amaranthus retroflexus<br />
g/l<br />
genotypes<br />
g % g %<br />
Mira<br />
0 0.10a (100) 0.10ab (100)<br />
20 0.15a (150) 0.13b (130)<br />
40 0.14a (140) 0.11ab (110)<br />
60 0.11a (110) 0.12ab (120)<br />
80 0.12a (120) 0.09a (90)<br />
Srebrina 0 0.12b (100) 0.12c (100)<br />
20 0.16c (133) 0.12c (100)<br />
40 0.17c (142) 0.09ab (75)<br />
60 0.13b (108) 0.08a (67)<br />
80 0.09a (75) 0.10b (83)<br />
Divna<br />
0 0.14a (100) 0.14a (100)<br />
20 0.16a (114) 0.12a (92)<br />
40 0.20a (125) 0.12a (92)<br />
60 0.20a (125) 0.13a (93)<br />
80 0.16a (114) 0.13a (93)<br />
Karina<br />
0 0.08a (100) 0.08a (100)<br />
20 0.13c (163) 0.10ab (125)<br />
40 0.10abc (125) 0.12b (150)<br />
60 0.12bc (150) 0.10ab (125)<br />
80 0.09ab (113) 0.10ab (125)<br />
Avigea<br />
0 0.15c (100) 0.15d (100)<br />
20 0.11b (73) 0.13cd (87)<br />
40 0.11b (73) 0.11bc (73)<br />
60 0.06a (40) 0.11bc (73)<br />
80 0.09b (60) 0.06a (40)<br />
Line No. 5 a 0 0.15ab (100) 0.15a (100)<br />
20 0.11ab (73) 0.12ab (80)<br />
40 0.09a (60) 0.12ab (80)<br />
54
A study of allelopathic effect of Amaranthus retroflexus (L) and Solanum ...<br />
M-18/4<br />
Line No. 21<br />
60 0.10a (91) 0.12ab (80)<br />
80 0.08a (53) 0.10a (67)<br />
0 0.19c (100) 0.19b (100)<br />
20 0.11a (58) 0.12ab (63)<br />
40 0.14b (74) 0.12ab (63)<br />
60 0.11a (58) 0.08a (42)<br />
80 0.11a (58) 0.10a (53)<br />
0 0.14b (100) 0.14c (100)<br />
20 0.13b (93) 0.12b (86)<br />
40 0.14b (100) 0.12b (86)<br />
60 0.10a (71) 0.08a (57)<br />
80 0.08a (57) 0.09a (64)<br />
a, b, c, d LSD at 95% confidence interval<br />
No statistically significant inhibitory effect of the studied<br />
concentrations of S. nigrum extract was found in varieties Mira,<br />
Divna and line No. 5 а . Variety Avigea and line M-18/4 can be<br />
determined as susceptible, because with increase of the extract<br />
concentration their inhibition degree increased by 13 to 60%, as<br />
against the control variant, the differences being statistically<br />
significant at Р=95%.<br />
The higher concentrations of 60 and 80 g/l had a statistically<br />
significant inhibitory effect on biomass accumulation in the primary<br />
seedling in line No. 21. In varieties Srebrina and Karina the<br />
concentrations of 20 and 60 g/l had a statistically significant<br />
stimulatory effect of up to 55%, as against the control variant with<br />
distilled water.<br />
The applied concentrations of the aqueous extract from A.<br />
retroflexus had no statistically significant inhibitory effect on fresh<br />
biomass accumulation in g per seedling in varieties Mira, Divna and<br />
line No. 5 а . A significant inhibitory effect of 14 to 43% of all applied<br />
concentrations (at P=95) was found only in line No. 21. In varieties<br />
Srebrina, Avigea and line M-18/4 the higher studied concentrations<br />
of 40 to 80 g/l showed also a significant inhibitory effect. The degree<br />
of inhibition of fresh biomass accumulation in g per seedling<br />
increased with increase of the extract concentrations, as follows:<br />
Srebrina – from 9 to 27%; Avigea – from 13 to 60%, line No. 5 а from<br />
20 to 33% and line M – 18/4 – from 37 to 58%. Therefore, the<br />
observed differences in soybean genotypes with regard to allelopathic<br />
effect of the extracts can be explained by genetic differences, because<br />
the comparisons between them were performed at equal<br />
concentrations of the applied extracts, which determined the presence<br />
of allelopathic potential in varieties Mira and Divna. Similar results<br />
in wheat were reported by Wu et al. (1998), according to whom the<br />
55
A. Aleksieva and P. Marinov-Serafimov<br />
species of cultivated plants and varieties had different susceptibility<br />
to allelopathic effect of plant extracts and the allelopathic effect was<br />
species specific and depended on the concentrations (Einhelling,<br />
1996).<br />
There were also differences in allelopathic effect of the<br />
studied extracts on the tested genotypes depending on their maturity<br />
group, as well as within the maturity groups themselves.<br />
The aqueous extracts from the above-ground biomass of S.<br />
nigrum and A. retroflexus had no inhibitory effect on the primary<br />
seedling growth and fresh biomass accumulation in g per seedling in<br />
the ultra-early variety Divna, whereas line No. 21 from the same<br />
maturity group was highly susceptible with regard to fresh biomass<br />
accumulation in g per seedling at all concentrations and not<br />
susceptible with regard to primary seedling growth (Tables 3 and 4).<br />
The genotypes belonging to the early maturity group – Avigea and<br />
line No. 5 а also differed in their reaction to the applied extract species<br />
and concentrations. Significant suppression of primary seedling<br />
growth by the concentrations of the two extracts was not observed in<br />
variety Avigea , whereas line No. 5 а was susceptible at all A.<br />
retroflexus concentrations and at the higher S. nigrum concentrations.<br />
There was inverse relation with regard to fresh biomass accumulation<br />
in g per seedling. The concentrations of the S. nigrum and A.<br />
retroflexus extracts had a statistically significant inhibitory effect in<br />
variety Avigea, whereas line No. 5 а was not susceptible.<br />
Varieties Srebrina and Karina were susceptible to the higher<br />
concentration of A. retroflexus extract with regard to primary<br />
seedling growth, whereas variety Mira was not susceptible. The<br />
concentrations of the S. nigrum extract had no significant inhibitory<br />
effect on the primary seedling growth in varieties Mira, Srebrina and<br />
Karina, except for the 80 g/l concentration in varieties Srebrina and<br />
Karina. The extracts from S. nigrum and A. retroflexus did not show<br />
an inhibitory effect on the fresh biomass accumulation in g per<br />
seedling in varieties Mira and Karina, whereas Srebrina was<br />
susceptible to the allelopathic effect of the extracts. The middle late<br />
line M-18/4 showed susceptibility to the higher A. retroflexus<br />
concentrations and was not susceptible to the S. nigrum<br />
concentrations with regard to primary seedling growth.<br />
The extracts from S. nigrum and A. retroflexus had a strong<br />
allelopathic effect on the fresh biomass accumulation in g per<br />
seedling. Therefore among the studied genostypes allelopathic<br />
potential was present only in varieties Mira and Divna that can be<br />
56
A study of allelopathic effect of Amaranthus retroflexus (L) and Solanum ...<br />
used as components in development of varieties with improved<br />
allelopathic potential.<br />
Conclusions<br />
The aqueous extracts from S. nigrum and A. retroflexus<br />
suppressed the seed germination of the studied soybean genotypes by<br />
41 tо 78%, but this effect was statistically significant only in variety<br />
Srebrina and line No. 5 а .<br />
The aqueous extract from A. retroflexus showed a more<br />
pronounced allelopathic effect on the studied soybean genotypes, as<br />
compared to that from S. nigrum.<br />
The studied varieties showed different susceptibility to the<br />
allelopathic effect of the extracts from S. nigrum and A. retroflexus,<br />
which was due to their genetic differences.<br />
Varieties Mira and Divna possess allelopathic potential,<br />
because no statistically significant allelopathic effect of the used<br />
extracts was found in them. These varieties can be used as<br />
components in future breeding programmes.<br />
References<br />
ADETAYO, O., O. LAWAL, B. ALABI AND O. OWOLADE, (2005):<br />
Allelopathic Effect of Siam Weed (Chromolaena odorata) on Seed<br />
Germination and Seedling Performance of Selected Crop and Weed<br />
Species. Fourth Congress on Allelopathy, Charles Sturt University,<br />
Wagga, NSW, Australi.<br />
AHN, J. K. AND I. M. CHUNG, (2000): Allelopathic Potencial of Rice Hulls on<br />
Germination and seedling growth of barnyargrass. Agronomy<br />
Journal,92:1162 – 1167.<br />
ALEXIEVA, S., AND I. STOIMENOVA, (2002): Method and investigation of the<br />
Soil Moisture Migration under the Effect of the Temperature Gradient.<br />
International Conference on Sustainable Land use and Management.<br />
“Sharing Expariences for Sustainable Use of Natural Resources”, Turkey,<br />
p. 472 - 474.<br />
BENSCH, C. N., J. M. HORAK AND D. PETERSON, (2003): Interference of<br />
redroot pigweed (A. retroflexus), Palmer amaranthus (A. palmeri) and<br />
common waterhemp (A. rudis) in soybean. Weed Science, 51(1):37 - 43.<br />
CHON, S. U., AND C. J .NELSON, (2001): Effects of experimental procedures<br />
and conditions on bioassay sensitivity of Lucerne autotoxicity, Soil<br />
Science and Plant Analysis, 32:1607-1619.<br />
EBANA, K., W. YAN, R. DILDAY, H. NAMAI AND K. OKUNO, (2001):<br />
Variation in the allelopathic effect of rice with water-soluble extract.<br />
Agronomy Journal, 93:12-16.<br />
EINHELLING, F. A., (1996): Interactions in volving allelopathy in cropping<br />
systems. Agronomy Journal, 88:886-893.<br />
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A. Aleksieva and P. Marinov-Serafimov<br />
FUJII, Y., (1992): The potencial biological control of paddy weeds with allelopathy<br />
( allelopathic effect of some rice varieties). In Proc. Int. Simp. Biol.<br />
Control and Integrated Management of Paddy and Aquatic Weeds in Asia,<br />
Natl. Agric. Res. Cent. Tsukuba, Japan. 19 – 25 oct. 1992. Food and Fert.<br />
Tehnol. Cent. For the Asian and Pacific Region, Chaina, p. 305 – 302.<br />
HINNKELMANN, K. AND O. KEMPTHORNE, (1994): Design and Analysis of<br />
Experiments, Volume 1, Wiley and Sons, New York.<br />
IMAN, A., Z. WAHAB, S. RASTAN, M. HALIM, (2006): Allelopathic effect of<br />
sweet corn and vegetable soybean extracts at two growth stages on<br />
germination and seedling growth of corn and soybean varieties. Journal of<br />
Agronomy 5(1): 62-68.<br />
KOSTADINOVA, P., T. I. AHMED, K. KOUZMOVA, (2002): A study on the<br />
allelopathic potential of Convolvulus arvensis leaves and roots. Journal of<br />
Environmental Protection and Ecology, 3:668-672.<br />
LABRADA, R., (2003): The importance of allelopathy in breeding new cultivars –<br />
Kil-Ung Kim and Doung-Hyun Shin. Weed Management for Developing<br />
Countries. Chapter 3, Management Options and Perspectives, Addenum 1,<br />
FOU Plant Production and Prrotection , Paper 120 Add, 1, Rome.<br />
LIEBMAN, M., N. DAVID, (2006): Seed mass affects the susceptibility of weed<br />
and crop species to phytotoxins extracted from red clover shoots, Weed<br />
Science, 54(2):340-345.<br />
LYUBENOV, YA. (1988). Integrated systems for weed control. Zemizdat, Sofia,<br />
volume I, p. 186-195.<br />
MARINOV-SERAFIMOV, Pl., Ts. DIMITROVA, (2007): Dynamic and<br />
distribution of the main weeds in weed associations of some Grain-<br />
Legume crops. Plant Science, 44:162 - 178.<br />
MARINOV-SERAFIMOV, TS. DIMITROVA, I. GOLUBINOVA, A. ILIEVA,<br />
(2007): Study of suitability of some solutions in allelopathic researches.<br />
Herbologia, 8(1):1-10.<br />
MARINOV-SERAFIMOV, PL.,TS. DIMITROVA AND I. GOLUBINOVA,<br />
(2007): Study of water imbibing capacity of some legume crops under in<br />
vitro conditions in allelopathic researches. Herbologia, 8(2):29-40.<br />
MOYER, J., H. HUANG, (1997): Effect of aqueous extracts crop residues on seed<br />
germination and seedling growth of ten weed species, Bot. Bull. Acad.<br />
Sin., 38:131-139.<br />
PLOHINSKII, N., (1967): Algorithms of Biometry, Publishing House of the<br />
Moscow University, p. 74-78.<br />
RICE, E. L., (1995): Biological control of weeds and plant disease: Advances in<br />
applied Allelopathy. Norman, Oklahoma: University of Oklahoma Press.<br />
STOIMENOVA, IV. (1990): Competitive interrelations between soybean and<br />
Amaranthus retroflexus L. depending on some ecological conditions.<br />
Author’s dissertation abstract.<br />
WESTON, L., (1996): Utilization of allelopathy for weed management in<br />
agroecosystems. Agronomy Journal, 88:860–866.<br />
WU H., J. PRATLEY, D. LEMERLE, T. HAIG, B. VERBEEK, (1998):<br />
Differential allelopathic potential among wheat accessins to annual<br />
ryegrass. Proceeding of the 9 th Australian Agronomy Conference, Wagga<br />
Wagga .<br />
58
Herbologia Vol. 9, No. 2, 2008.<br />
INVESTIGATION OF ALLELOPATHIC POTENTIAL OF<br />
BUCKWHEAT<br />
Mirha Đikić, Drena Gadžo, Taib Šarić, Teofil Gavrić, Ševal<br />
Muminović<br />
Faculty of Agriculture and Food Sciences, Sarajevo,<br />
Zmaja od Bosne 8, Sarajevo, Bosnia and Herzegovina<br />
m.djikic@ppf.unsa.ba<br />
Abstract<br />
Crop species with allelopathic potential have been given<br />
greater attention during the last two decades. Recently, utilization of<br />
the allelopathic potential of plants for weed control instead of<br />
<strong>herb</strong>icide application is given great emphasis, because it would<br />
reduce the risk of environmental toxicity.<br />
Buckwheat (Fagopyrum esculentum) is an economically<br />
important forage, grain and cover crop known for its allelopathic<br />
activity under field and greenhouse conditions due to its several<br />
allelochemicals.<br />
The main goal of our investigation was to explore allelopatic<br />
potential of buckwheat for weed control under field and laboratory<br />
conditions.<br />
Three cultivars of buckwheat were investigated in the field.<br />
Their potential of weed suppression was recorded. In the laboratory,<br />
we investigated the influence of the aqueous extract of above-ground<br />
parts of three cultivars on germination of Galium aparine, Rumex<br />
crispus, Galium molugo, and Abutilon theophrasti. Aqueous extract<br />
was prepared in the crop flowering and ripening stage.<br />
The field study showed that live buckwheat reduced total<br />
weed biomass compared with plots without any crop. But<br />
Amaranthus retroflexus and Hibiscus trionum (the most frequent<br />
weeds) were not suppressed by living buckwheat plants in high<br />
percent.<br />
Laboratory research showed that water extract of buckwheat<br />
cultivars in flowering stage suppressed root and shoot growth and<br />
germination of Rumex crispus, Galium molugo, and Abutilon<br />
theophrasti, while the influence on Galium aparine was reduced<br />
when we used 100% extract.<br />
These results suggest that buckwheat may have allelopathic<br />
potential and that, when used as a ground cover crop or green<br />
manure, may produce inhibitors, which could inhibit some weeds.
M. Đikić et al.<br />
Keywords: allelopathy, buckwheat, weeds<br />
Introduction<br />
In plant-plant interactions, allelopathy denotes the process by<br />
which plants release phytotoxic compounds (allelochemicals) in the<br />
soil environment, resulting in a harmful or beneficial effect on<br />
neighbouring plants. Both crops and weeds may contain compounds<br />
that can be considered allelopathic. Crop species with allelopathic<br />
potential have been given greater attention during the last two<br />
decades (Chou, 1999; Shilling et al., 1985; Weston 1996). However,<br />
only few crops have been studied thoroughly in terms of their weed<br />
suppressing activity (Einhellig, 1996; Rice, 1979). Crops with<br />
allelopathic properties may suppress subsequent crop growth.<br />
Recently, utilization of the allelopathic potential of plants for weed<br />
control instead of <strong>herb</strong>icide application is given great emphasis,<br />
because it could reduce the risk of environmental toxicity.<br />
Buckwheat is an agronomic species of the Polygonaceae<br />
family that belongs to the genus Fagopyrum. There are about 15<br />
species in the genus Fagopyrum, which occur in temperate areas of<br />
Euro-Asia. Plants in this family produce a wide array of biologically<br />
active constituents. As fast-growing cover crop, buckwheat is most<br />
useful for weed suppression. Fagopyrum esculentum Moench<br />
(common buckwheat) is known to Japanese farmers as cover crop<br />
since long for limiting soil erosion. There are some reports about its<br />
allelopathic activity in field and greenhouse. Experiments conducted<br />
under field conditions have shown that buckwheat shades and<br />
smothers weeds, or outcompetes them for soil moisture and nutrients<br />
(Tominaga and Uezu, 1995).<br />
Fagopyrum esculentum is an economically important forage,<br />
grain and cover crop and has shown allelopathic activity in field and<br />
greenhouse (Isojima et al., 2000). Some authors have reported several<br />
allelochemicals from F. esculentum (Iqbal et al., 2002, 2003). In<br />
continuation of their work another member of this genus F. tataricum<br />
Gaertner (tartary buckwheat) was investigated for its allelopathic<br />
potential. In this investigation, they isolated two flavonol glycosides<br />
and a flavonoid from the upper part of F. tataricum and determined<br />
their allelopathic effects on seed germination and seedling growth of<br />
lettuce (Lactuca sativa L.).<br />
60
Investigation of allelopathic potential of buckwheat<br />
Recently it has been reported that a compound with high total<br />
activity might act as communication device among organisms in the<br />
natural ecosystem (Hiradate et al., 2004).<br />
Among buckwheat species, F. tataricum is a species to note<br />
because it contains 50-130 times higher amount of rutin. All the<br />
flavonoids reported here, especially rutin, are known to have<br />
antibacterial, antiviral, antihypertensive, and antioxidant activities.<br />
These studies show that rutin is the potential allelochemical of F.<br />
tataricum, which along with other active constituents is responsible<br />
for the allelopathic activity of buckwheat. It is therefore possible that<br />
in future buckwheat could be used as ground cover crop. This will<br />
allow long-term weed suppression in agricultural systems through the<br />
release of allelochemicals.<br />
Buckwheat is known as good competitor. It competes well<br />
with weeds and suffers little from other pests. This may be because<br />
buckwheat contains allelopathic compounds and its cultivation was<br />
observed to reduce weed biomass (Iqbal et al., 2001). The phenolic<br />
compounds have wide biological activities and they are probably<br />
responsible for allelopathic potential of buckwheat.<br />
In practice, buckwheat is cultivated without pesticides.<br />
Furthermore, its soil nutritional requirements are low and therefore<br />
buckwheat was often the last crop in slash and burn farming systems<br />
of the past.<br />
The main goal of our investigation was to explore allelopatic<br />
activity of buckwheat for weed control under field and laboratory<br />
conditions.<br />
Materials and methods<br />
Two cultivars (from Slovenia) were investigated under field<br />
conditions. Their potential of weed suppression was recorded. The<br />
trial was set up in randomized block design with three replications for<br />
each cultivars. Basic plot area was 1 m 2 . The distance between<br />
replications was 1 meter. Check plots were set up too. During the<br />
buckwheat growing season we recorded the number and mass of<br />
weed species, the first time one months after sowing and the second<br />
time in July.<br />
61
M. Đikić et al.<br />
Table 1. Main data on the experiment<br />
Trial location<br />
Butmir, central Bosnia<br />
Basic trial plot size 1 m 2 (1x1 m)<br />
Number of replications 3<br />
Cultivars<br />
Čebelica<br />
Darja<br />
Date of sowing April 14, 2007<br />
Seed rate per plots (1 m 2) 10 g<br />
First weed evaluation Juni 20, 2007<br />
Second weed evaluation July 31, 2007<br />
The aim of this experiment was to evaluate the influence of<br />
buckwheat stand on weeds in the field.<br />
The influence of the aqueous extract of above-ground portions<br />
of mentioned cultivars (and a domestic population) on the<br />
germination of Galium aparine, Galium molugo, Rumex crispus, and<br />
Abutilon theophrasti was investigated in the laboratory. Crop<br />
aqueous extract was prepared in the flowering and ripening stages.<br />
Above-ground biomass (stems and leaves) in the flowering stage<br />
(May 29 th ) and before harvest (July 31 st ) were sampled, than dried at<br />
40°C, cut and extracted with distilled water. 20 grams of buckwheat<br />
were chopped and soaked in distillated water for 24 hours. After that<br />
the soaked materials were filtered. The extract was diluted to a 50%<br />
concentration. 8 mililiters of extract were applied on a filter paper<br />
with 50 weed seeds in each Petri-dish, in four replications.<br />
The aim of the work was to evaluate the influence of water<br />
extracts, which were obtained from buckwheat plants, on the<br />
germination of tested weed seeds and so evaluate the allelopathic<br />
potential of buckwheat. We observed the number of germinated weed<br />
seeds and length of roots and sprouts.<br />
Field study<br />
Results and discussion<br />
Results of our investigation can be seen in the next table.<br />
Field study showed that living buckwheat reduced weed biomass<br />
compared with plots without buckwheat.<br />
62
Investigation of allelopathic potential of buckwheat<br />
Table 2. Number of weeds per m 2<br />
evaluation<br />
in buckwheat plots in first<br />
Weed species<br />
Čebelica<br />
Varieties<br />
Darja<br />
Check<br />
Amaranthus retroflexus<br />
80 73.2<br />
% of reduction<br />
25.7 32.0<br />
107.6<br />
Hibiscus trionum<br />
10.8 6.8 21.2<br />
% of reduction<br />
49.1 67.9<br />
Capsella bursa-pastoris<br />
2.8 2.8<br />
% of reduction<br />
79.4 79.4<br />
13.6<br />
Cirsium arvense 1.2 2.8 1.2<br />
Daucus carota 1.2 8 5.6<br />
Chenopodium album 9.2 9.2 5.6<br />
Trifolium repens 1.2 - 1.2<br />
Lamium purpureum 2.8 - 5.2<br />
Polygonum convolvulus 4 - 0.8<br />
Taraxacum officinale 5.2 - 3.6<br />
Veronica persica 2.8 4 5.2<br />
Plantago lanceolata 4 - 0.8<br />
Abutilon theophrasti - 1.2 -<br />
Sonchus arvensis - 2.8 -<br />
Convolvulus arvensis - 1.2 0.4<br />
Echinochloa crus-galli - - 5.2<br />
Solanum nigrum - - 0.4<br />
Agropyron repens - 6.8 0.8<br />
Polygonum lapathifolium - 1.2 0.4<br />
Geranium dissectum - 1.2 0.4<br />
Euphorbia helioscopia 1.2 - 1.2<br />
Total weed number<br />
% of reduction<br />
126.4<br />
29.9<br />
121.2<br />
32.8<br />
180.4<br />
0<br />
Redroot pigweed (Amaranthus retroflexus), flower-of-an-hour<br />
(Hibiscus trionum), and shephard ' s purse (Capsella bursa-pastoris)<br />
belonged to most numerous weeds in the buckwheat stand in the first<br />
evaluation.<br />
63
M. Đikić et al.<br />
Table 3. Number and mass of weeds per m 2 in buckwheat plots in<br />
second evaluation<br />
Weed species<br />
Varieties<br />
Check<br />
Čebelica Darja<br />
num- mass num-ber mass number<br />
mass<br />
ber g<br />
g<br />
g<br />
Amaranthus retroflexus 124 745 110 690<br />
% of reduction<br />
40.7 31.8 47.4 37.5<br />
209 1104<br />
Hibiscus trionum<br />
25.2 36 6.8 12 21.2 67.8<br />
% of reduction<br />
- 46.9 67.9 82.3<br />
Chenopodium album 9.2 22 8 23.6<br />
% of reduction<br />
- 38.2 - 33.7<br />
8 35.6<br />
Chenopodium polyspermum 2.8 5.6 1.2 2<br />
% of reduction<br />
48.2 72.3 77.8 90.1<br />
5.4 20.2<br />
Polygonum convolvulus 1.2 4.4 2.8 6.4 4 3.2<br />
% of reduction<br />
70 - 30 -<br />
Cirsium arvense 1.2 15.2 4 203 1.2 7.2<br />
Taraxacum officinale 1.2 3.2 - - 8 67.6<br />
Veronica persica - - - - 2.8 1.6<br />
Capsella bursa-pastoris - - - - 6.8 2<br />
Plantago lanceolata 2.8 2 - - - -<br />
Daucus carota 2.8 2.8<br />
Abutilon theophrasti - - 1.3 3.6<br />
Sonchus arvensis - - 1.2 29.2 1.2 10.4<br />
Convolvulus arvensis 2.8 2 14.8 24.8 2 2.4<br />
Echinochloa crus-galli - - - - 4 54<br />
Solanum nigrum - - - - 2,8 6,4<br />
Polygonum lapathifolium 2.8 1.6 1.2 2.4 - -<br />
Geranium dissectum - - - - 2.8 6.8<br />
Mentha arvensis 8 23.2 - - - -<br />
Chenopodium polyspermum 2.8 5.6 1.2 2<br />
% of reduction<br />
48.2 72.3 77.8 90.1<br />
5.4 20.2<br />
Setaria glauca - - 5.2 10.4 51.2 177.6<br />
Cycorium inthybus - - - - 1.2 8<br />
Linaria vulgaris - - - - 1.2 2<br />
Rorypa sylvestris - - - - 1.2 19.2<br />
Total weed number and<br />
mass<br />
% of reduction<br />
181<br />
46.2<br />
860<br />
46.3<br />
157<br />
53.4<br />
1007<br />
37.1<br />
336.8<br />
100<br />
1599<br />
100<br />
Amaranthus retroflexus, Hibiscus trionum, Chenopodium<br />
album, and Chenopodium polyspermum belonged to the most<br />
numerous weeds in the buckwheat during the second evaluation.<br />
Total weeds number and mass were reduced for 46.2 and 53.4 by<br />
Čebelica, and for 46.3 and 37.1 by Darja, respectively.<br />
64
Investigation of allelopathic potential of buckwheat<br />
The number and mass of Amaranthus retroflexus was reduced<br />
by Čebelica and Darja (40.7, 47.4, 31.8, 37.5 respectively).<br />
Haramoto and Gallandt (2005) evaluated the effects of<br />
incorporated buckwheat residues on selected weeds and crop species.<br />
They demonstrated that fresh buckwheat residues delayed as well as<br />
suppressed the emergence of Amaranthus retroflexus and<br />
Chenopodium album. However, the effects on their subsequent<br />
growth were not measured.<br />
Laboratory study<br />
In the laboratory studies, aqueous extracts of the aerial parts<br />
of common buckwheat were investigated. In the next tables one can<br />
see the results of the investigation.<br />
Table 4. The influence of 100% buckwheat extract on Galium<br />
aparine seed germination<br />
Traits<br />
Sprout<br />
number<br />
Root<br />
lenght<br />
Sprout<br />
lenght<br />
Čebelica,<br />
flowe<br />
ring<br />
Darja,<br />
flowering<br />
V a r i a n t s<br />
Domes Čebelica,<br />
-tic,<br />
flowering<br />
ripening<br />
Darja,<br />
ripening<br />
Che<br />
ck<br />
LSD<br />
0.05<br />
LSD<br />
0.01<br />
13.5 - - 32.0 - 35.3 - 40.5 34.0 - - 45.5 8.23 10.04<br />
0.55 - - 0.63 - - 0.83 - - 1.50 - - 0.85 - - 6.38 0.44 0.54<br />
0.91 - - 0.93 - - 2.75 - - 2.88 - - 1.80 - - 4.38 0.93 1.14<br />
Buckwheat extracts highly reduced root and sprout lenght of<br />
G. aparine, but sprout number was not diminished by Čebelica in<br />
ripening stage.<br />
Table 5. The influence of 50% buckwheat extract on Galium aparine<br />
seed germination<br />
Traits<br />
Čebelica<br />
flowe<br />
ring<br />
Darja<br />
flowering<br />
V a r i a n t s<br />
Domes<br />
tic<br />
flowering<br />
Čebelica<br />
ripening<br />
Darja<br />
ripening<br />
Che<br />
ck<br />
LSD<br />
0.05<br />
LSD<br />
0.01<br />
Sprout 45.0 45.3 43.0 47.0 49.8 + 44.8 4.67 5.70<br />
number<br />
Root 4.38 - - 5.15 - - 5.83 - - 6.33 5.88 - - 7.43 1.19 1.45<br />
65
M. Đikić et al.<br />
length<br />
As it can be seen, 50%-extract of investigated buckwheat<br />
cultivars reduced root length of G. aparine, except cv. Čebelica in<br />
ripening stage.<br />
Table 6. The influence of 100% buckwheat extract on Rumex crispus<br />
seed germination<br />
Traits<br />
Sprout<br />
number<br />
Root<br />
length<br />
Sprout<br />
length<br />
Čebelica<br />
flowering<br />
Darja<br />
flowering<br />
V a r i a n t s<br />
Domestic<br />
flowering<br />
Čebelica<br />
ripening<br />
Darja<br />
ripening<br />
Che<br />
ck<br />
LSD<br />
0.05<br />
LSD<br />
0.01<br />
46.5 39.3 - - 48.8 41.5 - 35.5 - - 51.0 9.25 11.62<br />
0.96 - - 0.51 - - 0.43 - - 0.76 - - 0.36 - - 2.65 0.41 0.50<br />
1.83 - - 2.48 1.50 - - 2.55 2.01 - - 2.53 0.39 0.48<br />
All cultivars reduced germination of R. crispus, expect by cv.<br />
Čebelica and Domestic cultivar in flowering stage.<br />
Table 7. The influence of 50% buckwheat extract on Rumex crispus<br />
seed germination<br />
Traits<br />
Sprout<br />
number<br />
Root<br />
lenght<br />
Sprout<br />
lenght<br />
Čebe<br />
lica<br />
flowe<br />
ring<br />
Darja<br />
flowering<br />
V a r i a n t s<br />
Domestic<br />
flowering<br />
Čebe<br />
-lica<br />
ripen<br />
ing<br />
Darja<br />
ripen<br />
-ing<br />
Che<br />
ck<br />
LSD<br />
0.05<br />
63.0 44.3 50.5 40.8 - - 40.5 - - 51.3 7.64 9.33<br />
1.83 1.18 - - 1.33 - - 1.15 - - 1.38 - - 1.90 0.38 0.47<br />
3.03 - - 3.38 - - 3.70 - - 3.48 - - 3.68 - - 4.33 0.49 0.60<br />
50%-extract of buckwheat suppresed germination of R.<br />
crispus too, but all cultivars in the flowering stage did not reduced<br />
the sprout number of investigated weed.<br />
LSD<br />
0.01<br />
66
Investigation of allelopathic potential of buckwheat<br />
Fig. 1-3. Effect of buckwheat cultivar extracts on the germination of R. crispus<br />
67
M. Đikić et al.<br />
Fig. 4. Effect of buckwheat Domestic population<br />
Fig. 5. Effect of two buckwheat varieties extracts on G. aparine germination<br />
68
Investigation of allelopathic potential of buckwheat<br />
Table 8. The influence of 50% buckwheat extract on Galium molugo seed<br />
germination<br />
Traits<br />
Sprout<br />
number<br />
Root<br />
lenght<br />
Sprout<br />
lenght<br />
V a r i a n t s<br />
Čebelica<br />
ja tic lica ja<br />
Dar- Domes-<br />
Čebe-<br />
Dar-<br />
Check<br />
0.05 0.01<br />
LSD LSD<br />
flowerinrinrinining<br />
flowe-<br />
flowe-<br />
ripen-<br />
ripen-<br />
23.0 - - 27.5 - - 28.0 - - 29.8 - - 27.3 - - 42.5 8.22 10.04<br />
0.52 - - 0.88 - - 0.90 - - 0.93 - - 1.35 - - 1.78 0.28 0.34<br />
1.65 - - 2.65 - - 3.33 2.85 - - 2.90 - - 4.03 0.74 0.91<br />
All cultivars significantly reduced germination of G. molugo.<br />
Table 9. The influence of 100% buckwheat extract on Abutilon theoprasti<br />
seed germination<br />
Traits<br />
Sprout<br />
number<br />
Sprout<br />
lenght<br />
V a r i a n t s<br />
Čebe-lica<br />
Flowering<br />
Domestic<br />
flowering<br />
Čebelica<br />
ripen-ing<br />
Darja<br />
ripening<br />
Che<br />
ck<br />
LSD<br />
0.05<br />
LSD<br />
0.01<br />
11.8 - - 23.8 21.5 - 8.3 - - 26.0 3.95 5.54<br />
0.48 - - 1.18 - - 0.90 - - 0.65 - - 3.68 0.68 0.95<br />
The extract significantly inhibited the seed germination of A.<br />
theophrasti.<br />
These results confirmed the possible allelopathic effect of buckwheat<br />
on the tested weed species.<br />
According to Golisz et al. (2002), during buckwheat growth,<br />
buckwheat is effective in suppressing many weeds, including Agropyron<br />
repens. Weed biomass during buckwheat growth has been reduced by 75%<br />
(Iqbal et al., 2003; Tominaga and Uezu, 1995) and 86% (Creamer and<br />
Baldwin, 2000). Such reductions in weed biomass help prevent<br />
establishment of perennial weeds, as well as reduce the risk of seed<br />
production by summer annuals. In the absence of buckwheat, weeds that<br />
produce seeds rapidly (e.g., hairy galinsoga [Galinsoga ciliata (Raf.) Blake]<br />
) can add large quantities of seeds to the soil (Kumar et al., unpublished<br />
data). Even weeds that produce seeds more slowly are easier to kill after<br />
buckwheat cover cropping than they would be in the absence of this crop.<br />
69
M. Đikić et al.<br />
According to Jensen and Helgeson (1957), buckwheat was cited as<br />
being a useful crop for the control of many weeds, including quackgrass,<br />
Canada thistle, sowthistle, creeping jenny, leaf spurge, Russian knapweed,<br />
and perennial pepper grass.<br />
Iqbal et al. (2002) showed that root exudates from buckwheat<br />
suppressed root and shoot growth of Trifolium repens, Brassica juncea,<br />
Amaranthus palmeri, Echinochloa crus-galli, and Digitaria ciliaris.<br />
Because buckwheat germinates quickly, it produces a dense canopy<br />
quickly, shading the soil and acting as a good competitor against weeds.<br />
Utilizing residue allelopathy as a management tool may be one of the<br />
more readily applicable uses of allelopathy in agroecosystems. Of all the<br />
possible strategies involving allelopathy for weed control, management of<br />
selectively toxic plant residues is the most successful, effective and readily<br />
available (Lovett, 1990). Management methods might include incorporating<br />
allelopathic crops in crop rotation, applying phytotoxic mulches, and cover<br />
cropping with allelopathic plants or smother crops.<br />
Conclusions<br />
In the field investigations, buckwheat reduced total weed biomass<br />
compared with plots without any crop. Total weeds number and mass were<br />
reduced for 46.2 and 53.4 by Čebelica, and for 46.3 and 37.1 by Darja,<br />
respectively.<br />
Amaranthus retroflexus and Hibiscus trionum were not inhibited by<br />
buckwheat in high percent. In the second evaluation, the number and mass of<br />
Amaranthus retroflexus were reduced for 40.7 and 31.8 by Čebelica and 47.4<br />
and 37.5 by Darja, respectively.<br />
In laboratory studies, water extract of buckwheat cultivars in<br />
flowering stage suppressed root and shoot growth and germination of Rumex<br />
crispus, Galium molugo, and Abutilon theophrasti, while the influence on<br />
sprout number of Galium aparine was lower.<br />
References<br />
CHOU, CH., 1999. Roles of allelopathy in plant diversity and sustainable agriculture. Crit.<br />
Rev. Plant Sci. 18, 609-636.<br />
CREAMER, N.G., K. R. BALDWIN, 2000. An evaluation of summer cover crops for use<br />
in vegetable production systems in North Carolina. Hort. Science. 35: 600–603.<br />
EINHELLIG, F. A., 1996. Interactions involving allelopathy in cropping system. Agron. J.<br />
88, 886-893.<br />
GOLISZ, A., D. CIARKA, S. W. GAWRONSKI, 2002. Allelopathy activity of buckwheat<br />
(Fagopyrum esculentum Moench). 161 in Fujii Y., Hidarate S., Araya H. Proc. III<br />
World Con. on Allelopathy. Tsukuba City, Ibaraki, Japan: Sato Printing.<br />
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HARAMOTO, E.R., E. R. GALLANDT, 2005. Brassica cover cropping: II. Effects on<br />
growth and interference of green bean (Phaseolus vulgaris) and redroot pigweed<br />
(Amaranthus retroflexus). Weed Sci. 53: 702-708.<br />
HIRADATE, S., S. MORITA, H. SUGIE, Y. FUJII, 2004. Phytotoxic cis-cinnamoyl<br />
glucosides from Spiraea thunbergii. Phytochemistry 65, 731-739.<br />
IQBAL, Z., S. HIRADATE, A. NODA, S. ISOJIMA, Y. FUJII, 2002. Allelopathy of<br />
buckwheat: assessment of allelopathic potential of extract of aerial parts and<br />
identification of fagomine and other related alkaloids as allelochemicals. Weed<br />
Biol. Manag. 2, 110-115.<br />
IQBAL, Z., S. HIRADATE, A. NODA, S. ISOJIMA, Y. FUJII, 2003. Allelopathic activity<br />
of buckwheat: isolation and characterization of phenolics. Weed Sci. 51: 657-662.<br />
ISOJIMA, S., Z. IQBAL, A. KOIZUMI, Y. FUJII, 2000. Allelopathy of Fagopyrum<br />
esculentum: Analysis of allelochemicals. J. of Weed Sci. Technol.<br />
Abbrev.(supplements in Japanese) 45, 92-93.<br />
JENSEN, L.A., E.A. HELGESON, 1957. Perennial weed control. Revised ed. N. Dak.<br />
Agric. Coll. Ext. Serv. Circ. A-194. 4 pp. Lovett, J.V. 1990. In "Alternatives to the<br />
Chemical Control of Weeds." Ed. by C. Bassett, L.J. Whitehouse and J.A.<br />
Zabkiewicz. Rotorua, New Zealand. pp.57-65.<br />
RICE, E. L., 1979. Allelopathy. An update. Bot. Rev. 45, 15-109.<br />
SHILLING, D.G., R. A. LIBEL, A. D. WORSHAM, 1985. Biochemical interaction among<br />
plants. In: The chemistry of allelopathy: (ed. by A. C. Thompson) ACS Symp.<br />
Series 268 American Chem. Soc., Washington D C, pp. 243-271.<br />
TOMINAGA, T., T. UEZU, 1995. Weed suppression by buckwheat: pp. 693–697 in T.<br />
Matano and A. Ujihasa, eds. Current Advances in Buckwheat Research. Volume 2.<br />
Proc. of the 6th Inter. Symp. of Buckwheat. Nagano, Japan: Shinshu University<br />
Press.<br />
WESTON, L.A., 1996. Utilization of allelopathy for weed management in agro ecosystems.<br />
Agron. J. 88, 860-866.<br />
71
Herbologia Vo. 9, No. 2, 2008.<br />
LONG-TERM EFFECTS OF SOIL TILLAGE ON WEED POPULATIONS<br />
IN WINTER WHEAT<br />
Mira Knežević, Bojan Stipešević, Ljubica Ranogajec, Ivan Knežević<br />
Faculty of Agriculture J. J. Strossmayer, University in Osijek,<br />
Trg sv. Trojstva 3, 31000 Osijek, Croatia<br />
e-mail: Mira.Knezevic@pfos.hr<br />
Abstract<br />
Field experiments were conducted in winter wheat on lessive<br />
pseudogley soil in northeastern Croatia from 1997 to 2006. The objective of<br />
this long-term study was to evaluate the effects of three tillage systems<br />
(conventional - mouldboard plow, CT; chisel plow, CP; disk harrow, DH)<br />
upon species composition, weed density, and weed dry weight, not using<br />
<strong>herb</strong>icides, as useful information to improve integreated weed management<br />
in cereal crops.<br />
Annual broad-leaved weeds dominated with 24 species compared<br />
with 11 perennials and 3 annual grasses. Weed species which occured in all<br />
three tillage systems at more than one shoot m -2 were: Ambrosia artemisiifolia<br />
L., Chenopodium album L., Galium aparine L., Matricaria inodora L.,<br />
Polygonum aviculare L.; Calystegia sepium (L.) R. Br., Convolvulus arvensis L.<br />
Equisetum arvense L. Cirsium arvense (L.) Scop. and Apera spica-venti (L.) PB.<br />
Annual broad-leaved weed density in the CT system was statistically similar to<br />
that in the DH system in 7 out of 9 years. M. inodora tended to have higher<br />
populations in the DH system, especially in wet seasons of 2002 and 2004. C.<br />
album showed high variations among years and tillage systems, but it had the<br />
highest populations in the DH system during the drought season of 2003. P.<br />
aviculare showed a marked and statistically significant response to CT system,<br />
whereas A. artemisiifolia's response to tillage was not consistent. Most annual<br />
species including grass species of A. spica-venti were not favoured by any tillage<br />
system. Annual broad-leaved weeds comprised 63%, 50% and 41% of total<br />
dry weight in CT, CP and DH tillage systems, whereas perennial weeds<br />
comprised 3%, 26% and 44%, respectively. Reduced CP and DH tillage<br />
systems increased density and dry weight of some perennial weed species<br />
which associated with these tillage systems. C. arvense was the most important<br />
perennial weed on disk harrowed plots, after three years of experiment.<br />
Keywords: winter wheat, soil tillage systems, weed species, weed density, weed dry weight<br />
Introduction<br />
Soil tillage for cereal crops in Croatia is mainly conventional based<br />
on deep mouldboard ploughing as the primary soil operation. In recent years
M. Knežević et al.<br />
there has been a tendency towards less intensive soil tillage systems such as<br />
reduced, minimum or non-tillage as alternative to conventional tillage<br />
because of environmental and economical reasons.<br />
The introduction of new tillage practices can have a major impact on<br />
the species composition and density of weed populations that has been<br />
documented for cereal crops under different climatic and soil conditions in<br />
numerous reviews (Froud-Williams et al., 1981; Arshad et al., 1994). These<br />
tillage systems may increase the potential for growth of certain weed species<br />
due to weed seed accumulation at or near the soil surface (Wrucke and<br />
Arnold, 1985).<br />
A recent method of weeds control is based upon integrated weed<br />
management system. It includes a combination of cultural, mechanical,<br />
biological, genetic, and chemical measures for an effective and economical<br />
weed control in which the impact of weeds on crop yield is insignificant<br />
(Swanton and Weise, 1991). In their opinion, weed communities that evolve<br />
as a result of adaptation of such practices are not more difficult to control<br />
than those associated with conventional tillage systems.<br />
Crop production, its advantages and risks according to integrated cropping<br />
management system has not yet been sufficiently researched in Croatia,<br />
especially for main arable crops. Previous researches suggested that weed<br />
levels in some less intensive tillage systems for winter wheat, spring barley<br />
and maize with reduction of <strong>herb</strong>icide rates were comparable to conventional<br />
tillage (Knežević et al., 2003a, 2003b, 1999). An understanding of the longterm<br />
effects of reduced tillage systems on weed populations will provide<br />
useful information to improve integreated weed management in cereal crops.<br />
The objective of this study was to evaluate the long-term effects of three<br />
tillage systems upon weed species composition, weed density, and weed dry<br />
weight in winter wheat crop grown continuously on a lessive pseudogley soil<br />
without using <strong>herb</strong>icides.<br />
Material and methods<br />
Field experiments with winter wheat (cv. Demetra) were conducted at<br />
Čačinci locality in the north-eastern part of Croatia. Soil type was lessive<br />
pseudogley: 13-18% of clay, 1.03% of organic matter, pH in H 2 O - 5.1, pH<br />
in nKCl - 4.1, 9.7 mg P 2 O 5 and 18.7 mg K 2 O 100 g -1 (Al-method). The<br />
fertilization was included 231 kg N, 150 kg P 2 O 5 and 100 kg K 2 O per ha.<br />
Top dressing by N was accomplished at the tillering stage in March. Tillage<br />
experiments were set up in the autumn of 1996 for winter wheat in<br />
wheat/maize rotation in 1996/1997, 1997/1998, 1999/2000, and in<br />
wheat/soybean rotation from 2000/2001 to 2005/2006. In March 1999 spring<br />
barley following maize was sown on the same plots instead of wheat, which<br />
74
Long-term effects of soil tillage on weed populations of buckwheat<br />
could not be sown due to the wet autumn of 1998. The weather data for each<br />
year are presented in the Table 1.<br />
Table 1. Monthly average air temperature and total precipitation during the<br />
winter wheat growing seasons (October-July) of 1996/1997 – 2005/2006<br />
M o n t h<br />
Total<br />
X. XI. XII. I. II. III. IV. V. VI. VII. Mean<br />
1996-1997 P<br />
T<br />
46<br />
12.1<br />
75<br />
8.5<br />
53<br />
-0.4<br />
15<br />
-1.3<br />
44<br />
4.9<br />
21<br />
6.6<br />
62<br />
8.9<br />
59<br />
17.0<br />
120<br />
20.4<br />
116<br />
21.1<br />
611<br />
9.8<br />
1997-1998 P<br />
T<br />
79<br />
9.4<br />
53<br />
6.2<br />
96<br />
3.0<br />
106<br />
3.8<br />
2<br />
6.1<br />
49<br />
5.2<br />
65<br />
12.7<br />
122<br />
16.1<br />
39<br />
21.8<br />
73<br />
22.1<br />
684<br />
10.6<br />
1999-2000 P<br />
T<br />
24<br />
14.4<br />
125<br />
4.6<br />
97<br />
2.1<br />
14<br />
-0.4<br />
23<br />
5.1<br />
39<br />
7.2<br />
60<br />
14.5<br />
37<br />
17.9<br />
37<br />
20.9<br />
87<br />
21.3<br />
543<br />
10.8<br />
2000-2001 P<br />
T<br />
53<br />
13.7<br />
46<br />
10.5<br />
46<br />
3.2<br />
85<br />
4.6<br />
20<br />
-0.7<br />
107<br />
9.5<br />
70<br />
9.6<br />
25<br />
17.0<br />
243<br />
17.7<br />
72<br />
21.6<br />
767<br />
10.7<br />
2001-2002 P<br />
T<br />
22<br />
14.7<br />
106<br />
-0.5<br />
37<br />
-3.4<br />
8<br />
0.5<br />
44<br />
5.3<br />
33<br />
6.4<br />
128<br />
10.9<br />
152<br />
18.5<br />
41<br />
21.1<br />
71<br />
22,7<br />
642<br />
9.6<br />
2002-2003 P<br />
T<br />
60<br />
11.8<br />
49<br />
9.6<br />
27<br />
1.6<br />
85<br />
-1.8<br />
15<br />
-3.1<br />
9<br />
6.6<br />
14<br />
10.9<br />
24<br />
19.7<br />
65<br />
23.7<br />
37<br />
22.8<br />
385<br />
10.2<br />
2003-2004 P<br />
T<br />
128<br />
9.8<br />
55<br />
8.0<br />
30<br />
1.4<br />
71<br />
-0.9<br />
64<br />
2.3<br />
52<br />
5.0<br />
127<br />
11.5<br />
76<br />
15.1<br />
98<br />
19.7<br />
68<br />
21.5<br />
769<br />
9.3<br />
2004-2005 P<br />
T<br />
121<br />
13.7<br />
143<br />
6.3<br />
47<br />
0.5<br />
40<br />
0.6<br />
75<br />
-2.7<br />
43<br />
6.5<br />
89<br />
11.2<br />
70<br />
16.0<br />
99<br />
19.0<br />
113<br />
20.9<br />
840<br />
9.2<br />
2005-2006 P<br />
T<br />
13<br />
11.9<br />
24<br />
5.4<br />
98<br />
2.5<br />
34<br />
-3.2<br />
44<br />
2.8<br />
66<br />
10.1<br />
94<br />
12.3<br />
90<br />
16.2<br />
87<br />
19.9<br />
27<br />
23.5<br />
577<br />
10.1<br />
P-precipitation (mm), T-temperature ( o C)<br />
The experimental design was a split-plot with tillage as the main<br />
plots and weed management as the sub-plots. Three tillage systems which<br />
performed continuously from 1996 were: CT-conventional (ploughing with<br />
mouldboard plough at 30-35 cm depth; CP- loosening with a chisel plough at<br />
15-20 cm depth; DH - disk harrowing at 8-10 cm depth. Weed control plots<br />
(9 x 3.5 m) included controls without <strong>herb</strong>icides and different <strong>herb</strong>icides<br />
applied post-emergently. The <strong>herb</strong>icide programs and results of the <strong>herb</strong>icide<br />
effectiveness in weed controlling were discussed in previous studies<br />
(Knežević et al., 2003a; Knežević et al., 2008). Winter wheat was<br />
mechanically harvested each year in the middle of July. The yield data were<br />
recorded and adjusted to 14% of the moisture content.<br />
The data of weed populations presented in this paper are based on the<br />
second weed assessment made on the untreated control plots in June of each<br />
season, at the wheat heading stage of. Weed densities were assessed in each<br />
treatment by counting the number of weeds in the sixteen 50 by 50 cm<br />
squares in each plot. Weeds found in each square was cut at ground level,<br />
separated by species, counted, oven-dried at 65 o C and weighed. Weed<br />
species were grouped to cycle life groups of annual grasses, annual broadleaved<br />
weeds and perennial weeds.<br />
75
M. Knežević et al.<br />
Before the statistical analysis of variance the data were subjected to<br />
normality test, square root transformation had been performed for weed<br />
density only. For ANOVA the split-split-plot design was used, with year as<br />
the main factor, tillage as the sub-factor and weed management as the subsub-factor.<br />
The SAS V8.1 statistical package Proc Mixed was used for<br />
calculating ANOVA and means were separated using Fisher´s Protected LSD<br />
test at the 0.05 level of significance.<br />
Results and disscusion<br />
A total of thirty-eight weed species, 34 dicotyledons, three monocotyledons<br />
(Apera spica-venti (L.) PB., Bromus sterilis L., Echinochloa crus-galli (L.)<br />
PB.) and one pteridophyte (Equisetum arvense L.) were recorded in winter<br />
wheat on the two sampling dates during nine seasons. Annual broad-leaved<br />
weeds dominated with 24 species, compared to 11 perennial species and 3<br />
annual grass species.<br />
In the middle of April, when the wheat was mainly at the jointing stage<br />
(tillering stage only in 1997 and 2003) weed flora was dominated by autumn<br />
emerging species such as Capsella bursa-pastoris (L.) Med., Lamium<br />
purpureum L., Lathyrus tuberosus L., Raphanus raphanistrum L., Stellaria<br />
media (L.) Vill. and Veronica hederifolia L. At the same time populations of<br />
A. spica-venti (L.) PB., Galium aparine L. and Matricaria inodora L., more<br />
than one shoot per m 2 , emerged in all tillage stage treatments. A total dry<br />
weight of weed populations at the jointing stage of wheat was generally low,<br />
and it ranged on average from 1.06 g m -2 to 3.45 g m –2 . As the competition of<br />
weed species against wheat in the early spring was generally low, further<br />
analysis is focused on the weed populations at the heading stage of wheat.<br />
The time after wheat heading is the most important period because the weeds<br />
become strong competitors with wheat (Klem and Vánová, 1999).<br />
Ten species were found in all three tillage systems in numbers of more than<br />
one shoot m -2 in at least five of nine years. They were: annual broad-leaved<br />
species of Ambrosia artemisiifolia L., Chenopodium album L., G. aparine L., M.<br />
inodora L., Polygonum aviculare L., perennial species of Calystegia sepium (L.)<br />
R. Br., Convolvulus arvensis L., Equisetum arvense L. Cirsium arvense (L.) Scop.<br />
and grass species of A. spica-venti (L.) PB. In June these weed species constituted<br />
84% and 95% of total weed density and total weed dry weight, respectively<br />
(averaged over all tillage systems and years). Average density and dry weight for<br />
each weed species are shown in Table 5.<br />
76
Long-term effects of soil tillage on weed populations of buckwheat<br />
Effect of tillage on weed density<br />
The effect of tillage on annual broad-leaved weed density was inconsistent<br />
and varied among years (Table 2). For example, in 1997 annual broad-leaved<br />
populations gathered 87% of the total weed density in the CT system where they<br />
were the most important weeds in the initial year. In 1998, densities of annual<br />
broad-leaved weeds were similar in the both CT and DH tillage systems, but were<br />
higher than in the CP system. In 2000 annual broad-leaved weeds comprised more<br />
than 70% of the total density in the DH system, whereas in the CT and CP<br />
systems, densities of these weed groups were similar, but averaged fivefold lower<br />
than in the DH system. However, after the fourth year, annual broad-leaved weeds<br />
showed a trend towards a lesser number of populations and density was similar<br />
among the three tillage systems in the last four years of experiment.<br />
Grassy annuals were only presented by A. spica-venti in densities<br />
higher than one plant per m 2 . Within the time frame of this study, no significant<br />
effect of tillage could be detected in density and dry weight of A. spica-venti<br />
(Table 2). However, there was a tendency to a lower shoot density under the<br />
reduced DH system during the dry period of 1997 and 2003, compared to the<br />
higher density in the wet Spring of 2004. In general, A. spica-venti showed<br />
little competitive ability in all three tillage systems.<br />
The tillage effects on perennial weeds were best expressed in the DH<br />
system in which perennial populations were significantly higher in 8 out of 9<br />
years compared to CT system. In the nine-year average, the densities of<br />
perennial populations were six-fold and four-fold higher in reduced DH and<br />
CP systems, respectively, than in the CT system (Table 4). Proportions in<br />
perennial densities in CT, CP and DH systems were 7%, 25% and 29% of the<br />
total weed density, respectively, with statistically differences. These results<br />
are in agreement with other studies that documented an increasing of<br />
perennial weed densities in reduced or no tillage systems in relation to<br />
conventional tillage system (Froud-Williams et al., 1981; Légère et al., 1990;<br />
Arshad et al., 1994). Légère et al. (1993) reported that perennial weeds in<br />
spring barley are not an exclusive problem of conservation tillage systems,<br />
but that it can develop in any tillage systems if conditions are appropriate.<br />
Table 2. Tillage effects on weed density (shoots m -2 ) of weed groups in<br />
winter wheat under the three tillage systems<br />
Tillage 1997 1998 2000 2001 2002 2003 2004 2005 2006<br />
Annual<br />
grasses<br />
CT 5 a 3 a 5 a 2 a 3 b 3 a 9 a 7 a 7 a<br />
CP 0 b 2 a 4 a 1 a 11a 1 a 11 a 8 a 9 a<br />
DH 0 b 4 a 6 a 2 a 1 b 1 a 9 a 8 a 6 a<br />
77
M. Knežević et al.<br />
Annual CT 40 a 17 a 5 b 7 a 12 a 9 a 6 a 9 a 7 ab<br />
broadleaved<br />
CP 16 c 5 c 9 b 2 b 14 a 10 a 10 a 9 a 5 b<br />
DH 24 b 14 a 35 a 3 ab 12 a 13 a 7 a 7 a 9<br />
a<br />
Perennial<br />
CT 1 a 3 c 1 b 2 b 1 b 0 b 1 b 2 b 1 b<br />
CP 2 a 7 b 7 a 5 a 4 a 2 b 8 a 4 ab 3 b<br />
DH 2 a 15 a 8 a 5 a 6 a 5 a 9 a 7 a 8 a<br />
Total CT 46 a 22 b 11 c 11 a 16 b 12 b 16 b 18 a 15 b<br />
CP 18 c 14 c 20 b 8 a 29 a 13 b 29 a 21 a 17 b<br />
DH 26 b 33 a 49 a 10 a 19 b 19 a 25 a 22 a 23 a<br />
Comparisons are between tillage systems within years and within weed groups; tillage<br />
means followed by the same letter are not significantly different at P < 0.05. CT –<br />
mouldboard ploughing; CP – chisel ploughing; DH – disk harrowing<br />
Table 3. Tillage effects on weed dry weight (g m -2 ) of weed groups in winter<br />
wheat under the three tillage systems<br />
Tillage 1997 1998 2000 2001 2002 2003 2004 2005 2006<br />
Annual<br />
grasses<br />
CT 0.8 a 1.7 a 3.6 a 8.0 a 10.0<br />
a<br />
1.6 a 28.0<br />
b<br />
CP 0 a 1.9 a 2.6 a 2.1 c 10.8 0.1 a 36.1<br />
a<br />
a<br />
DH 0 a 2.2 a 2.2 a 4.6 b 2.8 b 0.4 a 29.1<br />
b<br />
10.4<br />
c<br />
18.0<br />
b<br />
22.4<br />
a<br />
22.4<br />
b<br />
20.8<br />
b<br />
25.9<br />
a<br />
Annual<br />
broadleaved<br />
CT 13.8<br />
a<br />
CP 6.8<br />
a<br />
DH 12.0<br />
a<br />
5.6 a 2.7<br />
b<br />
7.2 a 25.9<br />
a<br />
3.8 a 21.1<br />
a<br />
18.7<br />
a<br />
8.7<br />
b<br />
11.9<br />
ab<br />
30.4<br />
a<br />
36.8<br />
a<br />
29.2<br />
a<br />
2.1 b 27.6<br />
b<br />
8.2 30.0<br />
ab b<br />
14.0 58.2<br />
a a<br />
27.2<br />
b<br />
33.4a<br />
b<br />
40.0<br />
a<br />
28.1<br />
b<br />
34.4<br />
b<br />
52.2<br />
a<br />
Perennial<br />
CT 0.4 a 0.8 b 1.0 c 2.4 b 0.8<br />
c<br />
CP 3.2 a 5.4 8.7 b 17.7 12.6<br />
ab<br />
a b<br />
DH 1.6 a 10.8 32.2 19.2 56.5<br />
a a a a<br />
0.1 b 0.9<br />
c<br />
1.5 b 15.7<br />
b<br />
24.7 37.4<br />
a a<br />
0.5 c 0.4<br />
c<br />
17.6 16.4<br />
b b<br />
44.5 34.1<br />
a a<br />
Total<br />
CT 15.0<br />
a<br />
CP 10.0<br />
a<br />
8.1<br />
a<br />
14.5<br />
a<br />
7.3 c 29.1<br />
a<br />
37.2 28.5<br />
b a<br />
41.1<br />
c<br />
60.3<br />
b<br />
3.7 b 56.5<br />
c<br />
9.8 b 81.8<br />
b<br />
38.1<br />
c<br />
69.0<br />
b<br />
50.9<br />
c<br />
71.7<br />
b<br />
78
Long-term effects of soil tillage on weed populations of buckwheat<br />
DH 13.6<br />
a<br />
16.8<br />
a<br />
55.5<br />
a<br />
35.7<br />
a<br />
88.5<br />
a<br />
39.0<br />
a<br />
124.7<br />
a<br />
106.9<br />
a<br />
112.3<br />
a<br />
Comparisons are between tillage systems within years and within weed<br />
groups; tillage means followed by the same letter are not significantly<br />
different at P < 0.05.<br />
Table 4. Tillage effects on weed density (shoots m -2 ) and weed dry weight (g<br />
m -2 ) of weed groups under the three tillage systems (averaged over nine<br />
years)<br />
Weed groups<br />
Annual broadleaved<br />
Tillage<br />
Weed<br />
density<br />
(shoots m -2 )<br />
Weed dry<br />
weight (g m -<br />
)<br />
CT 12.5 ab 17.36 b<br />
CP 8.7 b 21.27 ab<br />
DH 13.7 a 26.93 a<br />
Perennial CT 1.2 c 0.81 c<br />
CP 4.7 b 10.98 b<br />
DH 7.1 a 29.00 a<br />
Annual grasses CT 4.9 a 9.60 a<br />
CP 5.1 a 10.27 a<br />
DH 4.0 a 9.96 a<br />
Total CT 18.6 b 27.77 c<br />
CP 18.5 b 42.52 b<br />
DH 24.8 a 65.89 a<br />
Tillage means followed by the same letter are not significantly different<br />
at P < 0.05.<br />
A large number of annual broad-leaved populations, which was found<br />
in CT in the first initial year of our experiment, probably reflected the effect<br />
of soil disturbance by mouldboard ploughing on the seed-bank composition<br />
and seedling distribution in the soil layer. Frick and Thomas (1992) found a<br />
higher density of annual and lower density of perennial species in<br />
conventional than in the reduced tillage. Other studies reported that the<br />
reduced tillage increased the density of perennial weeds and some annual<br />
grasses (Derksen et al., 1993; Blackshaw et al., 1994). However, in some<br />
cases, tillage has no selective effect on weed flora (Swanton et al., 1993).<br />
Contradictory results have often been presented in regards to changes in<br />
weed community composition that was influenced more by the location and<br />
year than by tillage systems, indicating fluctuated rather than consistent weed<br />
community changes (Derksen et al., 1993; Swanton et al., 1993).<br />
79
M. Knežević et al.<br />
Effect of tillage on weed dry weight<br />
Total weed dry weight varied between years considerably. The<br />
highest weed dry weight across all tillage treatments was found in the first<br />
year of 1997, whereas the lowest was found in 2003 (Table 3). In the<br />
extremely dry season of 2003 (Table 1), when precipitation from October to July<br />
was 261 mm less than the average of 646 mm in 1997-2006, total weed dry<br />
weight was decreased by 93%, 86% and 63%, on average in CT, CP and DH<br />
tillage systems, respectively, compared to the extremely wet season of 2004.<br />
In respect of tillage, total weed dry weight was the highest in the DH<br />
system and the lowest in the CT system, ranging from 65.89 g to 27.77 g m -2 ,<br />
with significant differences (Table 4). Tillage affects the dry weight of<br />
annual broad-leaved and perennial weeds. The proportions of annual broadleaved<br />
dry weight were 63%, 50% and 41% in CT, CP and DH tillage<br />
systems, whereas proportions of perennials dry weight were 3%, 26% and<br />
44%, respectively. Significant differences in dry weight between the three<br />
tillage systems were detected in 2000, when the perennial dry weight in DH<br />
and CP systems were 32-fold and 9-fold higher, respectively, compared to<br />
CT system. The tendency of perennial biomass increase on these disk<br />
harrowed plots after only two years of experiment was reported previously<br />
(Knežević et al., 2003a).<br />
Effect of tillage on individual weed species<br />
Some responses of individual species to tillage treatments could be<br />
identified (Table 5). For example, perennial species of C. sepium, C.<br />
arvensis, E. arvense and C. arvense produced a higher number of<br />
populations and dry weight in the DH and CP systems than in the<br />
conventional tillage system. Other perennial species such as Plantago major,<br />
Rumex obtusifolius, Sonchus arvensis, Symphytum officinale, and Sonchus<br />
arvensis associated also mainly with DH tillage but with low densities.<br />
C. arvense was the most important perennial species on disk<br />
harrowed plots. This was evident in 2000, when C. arvense was more<br />
frequent than three years before (including spring barley on the same plots in<br />
1999). Futhermore, in the wet season of 2002, four shoots m -2 of C. arvense<br />
in DH tilled plots produced 47.8 g m -2 or 84% of the total perennial dry<br />
weight. According to Mclennan et al. (1991) C. arvense has a strong<br />
competitive effect on winter wheat and grain yield is closely related to the<br />
number of it shoots. These authors demonstrated yield losses of<br />
approximately 50% corresponding to C. arvense densities of 38 shoots per<br />
square meter.<br />
80
Long-term effects of soil tillage on weed populations of buckwheat<br />
Most summer annual broad-leaved species found in our study showed<br />
a less marked response to any tillage system. Only P. aviculare showed a<br />
marked and statistically significant response to the conventional tillage with a<br />
higher number of populations in this tillage system than in the other two<br />
reduced systems.<br />
Table 5. Tillage effects on density (shoots m -2 ) and dry weight (g m -2 ) of<br />
main weed species in winter wheat (1996/97 – 2005/06)<br />
Weed species<br />
Tillage<br />
Weed density<br />
shoots m -2<br />
Weed dry<br />
weight g m -2<br />
Annual broad-leaved<br />
Ambrosia artemisiifolia L. CT 4.2 ab 1.76 a<br />
CP 1.2 b 0.56 b<br />
DH 5.0 a 1.52 a<br />
Matricaria inodora L. CT 1.9 a 9.04 b<br />
CP 1.4 a 10.00 b<br />
DH 1.5 a 16.80 a<br />
Chenopodium album L. CT 2.4 a 0.76 ab<br />
CP 1.8 a 0.52 b<br />
DH 3.1 a 1.56 a<br />
Galium aparine L. CT 0.6 a 4.88 b<br />
CP 1.1 a 8.64 a<br />
DH 0.7 a 4.72 b<br />
Polygonum aviculare L. CT 1.2 a 0.32 a<br />
CP 0.1b 0.08 a<br />
DH 0.3b 0.40 a<br />
Perennial<br />
Equisetum arvense L. CT 0.7 b 0.32 b<br />
CP 1.8 a 3.72 a<br />
DH 2.1 a 2.88 a<br />
Calystegia sepium (L.)<br />
R.Br.<br />
CT 0.1 b 0.12 b<br />
CP 0.8 b 2.40 a<br />
DH 1.3 a 2.60 a<br />
Convolvulus arvensis L. CT 0.3 b 0.32 b<br />
CP 1.3 a 2.12 a<br />
DH 1.4 a 2.64 a<br />
81
M. Knežević et al.<br />
Cirsium arvense (L.) Scop. CT 0 b 0 b<br />
CP 0.1b 2.44 b<br />
DH 1.8 a 18.56 a<br />
Annual grasses<br />
Apera spica-venti (L.) PB. CT 4.9 a 9.60 a<br />
CP 5.1 a 10.20 a<br />
DH 4.0 a 10.00 a<br />
Density and dry weight means for a weed species in each column, followed<br />
by the same letter, are not significantly different at P < 0.05.<br />
Other species, which are not included in the statistical analysis due to<br />
a low density (less than one plant m -2 ) were: Anagallis arvensis L., Capsella<br />
bursa-pastoris (L.) Med., Chenopodium polyspermum L., Cerastium<br />
glomeratum Thuill., Echinochloa crus-galli (L.) PB., Erigeron annuus (L.)<br />
Pers., Fallopia convolvulus (L.) Á. Löve, Gnaphalium uliginosum L.,<br />
Gypsophila muralis L., Lamium purpureum L., Lathyrus tuberosus L.,<br />
Lythrum hyssopifolia L., Lythrum salicaria L., Oxalis fontana Bunge,<br />
Plantago major L., Polygonum lapathifolium L. Ranunculus sardous Cr.,<br />
Raphanus raphanistrum L., Rumex obtusifolius L., Senecio vulgaris L.,<br />
Sonchus arvensis L., Sonchus asper (L.) Hill., Stachys annua (L.) L., Stachys<br />
palustris L., Stellaria media (L.) Vill., Symphytum officinale L., Veronica<br />
hederifolia L.and Viola arvensis Murray.<br />
This finding does not concur with our previous research results<br />
(Knežević et al., 2003a ) but it is consistent with other researches that<br />
showed a density increase of P. aviculare with increased levels of<br />
cultivations (Pollard et al., 1982; Derksen et al., 1993).<br />
C. album was a highly variable among years and tillage systems. The highest<br />
density of 8 shoots m -2 or 60% of the total density was found under disk<br />
harrowed plots in the drought season of 2003, when C. album populations<br />
increased threefold compared to the conventional tilled plots. In contrast, the<br />
lowest densities (only 0.25 shoot m -2 ) were found in the wet seasons of 2002<br />
and 2004 in all three tillage systems.<br />
Environmental conditions, degree of soil disturbance between<br />
compared tillage systems and the ability of C. album to germinate at smaller<br />
depths may have contributed to the large variations in plant density.<br />
Response of C. album to tillage was discussed in several studies (Froud-<br />
Williams et al., 1981; Blackshaw et al., 1994; Bàrberi and Bonari, 2008)<br />
which noted an association between C. album and CT system. However, in<br />
some cases populations of C. album increased in conservation tillage systems<br />
(Thomas and Frieck, 1993) or were not influenced by tillage (Roman et al.,<br />
1999). Variations in C. album seedlings were attributed to the interaction of<br />
82
Long-term effects of soil tillage on weed populations of buckwheat<br />
tillage with environmental conditions, soil temperature and moisture (Roman<br />
et al., 1999).<br />
A. artemisiifolia was one of the most frequent weed species on the<br />
field plots, which emerged at the end of April and the beginning of May. In<br />
2000 A. artemisiifolia produced a large number of 25 plants m -2 on disk<br />
harrowed plots, which was sevenfold higher than in those found in the CT<br />
system. A significant interaction between tillage and shoot densities was<br />
detected in 2000. In other years there was no detectable clear influence of<br />
tillage in the number of A. artemisiifolia populations. A. artemisiifolia seeds<br />
germinate mostly from the 2.6 to 3 cm soil layers (Kazinezi et al., 2008).<br />
That may have contributed to the tillage effect caused by disk harrowing in<br />
our study.<br />
M. inodora populations emerged in April (in May only in 2003) and<br />
were flowered mainly at wheat heading in June. M. inodora produced<br />
significantly higher biomass in the DH system but no significant differences<br />
in shoot density were found among three tillage systems. M. inodora<br />
populations thrived in DH tillage in the wet seasons of 2004 with total<br />
precipitation of 203 mm in April and May (Table 1), when they were strong<br />
competitors with wheat. On the disk harrowed plots in the absence of<br />
<strong>herb</strong>icides, M. inodora shoots attained of 0.5 to 1.1 m with the dry weight of<br />
46 to 104 g. However, in 2003, which was associated with hot, dry<br />
conditions, early in the growing season (total precipitation in April and May<br />
only 23 mm), it showed a biomass depression by 80%, compared to an<br />
average of 45.8 g m -2 in wet spring months. Blackshaw and Harker (1997)<br />
reported for the areas of Canadian prairies that scentless chamomile shoots<br />
produced more biomass with increasing amounts of precipitation.<br />
Most other weed species displayed considerable year-to-year variation in<br />
germination, as well as in population densities.<br />
Herbicide programs used in this study resulted in a successful<br />
reduction of density and dry weight of summer annual broad-leaved and<br />
grass weeds, but in an inadequate control of perennials (Knežević et al.,<br />
2003a; Knežević et al., 2008).<br />
Tillage had significant effects on crop yield from plots without<br />
<strong>herb</strong>icides, ranging from 5.8 t in the CT to 5.2 t ha -1 in the DH system with<br />
significant differences. Chemical weed control increased crop yields in CT<br />
only in 2 out of 9 years, which corresponds to an increase of 2%, whereas<br />
significant average yield increases of 9% occured in both reduced CP and<br />
DH tillage systems, compared to yields from untreated control plots. No<br />
significant differences were found in yields from treated plots between CT<br />
and CP systems (5.9 t ha -1 ), whereas yield decrease in the DH system was<br />
3% compared to the same tillage systems with ploughing (data not shown).<br />
83
M. Knežević et al.<br />
To sum up, weed species differences were found only in the DH tillage<br />
system, which was favourable for the development of most weed<br />
populations. In that way perennial species showed higher populations in 8<br />
out of 9 years, compared to CT system. Annual broad-leaved populations<br />
varied over time, but plant densities in the DH system were statistically<br />
similar to CT system in 7 out of 9 years. Grassy annual populations with<br />
main species of A. spica-venti showed an inconsistent response to tillage<br />
systems with a tendency to higher density in wet seasons in all three tillage<br />
systems. Annual variations in total weed density and weed dry weight were<br />
attributed to interaction of tillage and year.<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 />
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KAZINCZI, G., I. BÉRES, R. NOVAK, K. BIRÓ, Z. PATHY, 2008: Common<br />
Ragweed (Ambrosia artemisiifolia L.): A review with special regards to the results in<br />
Hungary. I. Taxonomy, origin and distribution, morphology, life cycle and<br />
reproduction strategy. Herbologia Vol. 9, N0.1, 55-91.<br />
KLEM, K. & M. VÁNOVÁ, 1999: Analyza konkurenčnich vztahu mezi ozimou pšenici a<br />
jednoletymi plevelnymi druhy. Rostlinna vyroba 45, 445-453.<br />
KNEŽEVIĆ, M., LJ. RANOGOJEC, D. ŠAMOTA, 2008: Effects of soil tillage and<br />
<strong>herb</strong>icides on weeds and winter wheat yields. VII Alps-Adria Scientific Workshop,<br />
Stara Lesna Slovakia 2008. In Cereal Res. Commun. 36, 1403 – 1406.<br />
KNEŽEVIĆ, M., M. ĐURKIĆ, I. KNEŽEVIĆ, O. ANTONIĆ, S. JELASKA, 2003a: Effects<br />
of tillage and reduced <strong>herb</strong>icide doses on weed biomass production in winter and<br />
spring cereals. Plant Soil Environ. 49, 414-421.<br />
84
Long-term effects of soil tillage on weed populations of buckwheat<br />
KNEŽEVIĆ, M., M. ĐURKIĆ, I. KNEŽEVIĆ, O. ANTONIĆ, S. JELASKA, 2003b: Effects<br />
of soil tillage and postemergence weed control on weed biomass and maize yield.<br />
Cereal Res. Commun. 31, 177-184.<br />
KNEŽEVIĆ, M., M. ĐURKIĆ, O. ANTONIĆ, I. ŽUGEC, 1999: Effects of soil<br />
tillage and nitrogen on winter wheat yield and weed biomass. Cereal Res. Commun. 27, 1-2,<br />
197-204.<br />
LÉGÈRE, A., N. SAMSON, R. RIOUX 1993. Perennial weeds in conservation tillage systems: more<br />
of an issue than in conventional tillage systems? Brighton Crop Protection Conference –<br />
Weeds 1993, 747 – 752.<br />
LÉGÈRE, A., N. SAMSON, C. LEMIEUX, R. RIOUX, 1990: Effects of weed management and<br />
reduced tillage on weed populations and barley yields. Proc. EWRS Symposium, Integrated<br />
Weed Management in Cereals, 111-118.<br />
MCLENNAN, B. R., R. ASHFORD, M.D. DEVINE, 1991: Cirsium arvense (L.) Scop.<br />
competition with winter wheat (Triticum aestivum L.). Weed Research. 31, 409-<br />
415.<br />
POLLARD, F., S. R. MOSS, G. W. CUSSANS, R. J. FROUD-WILLIAMS, 1982: The<br />
influence of tillage on the weed flora in a succession of winter wheat crops on a<br />
clay loam soil and a silt loam soil. Weed Research. 22, 129-136.<br />
ROMAN; E: S., S.D. MURPHY, C. J. SWANTON, 1999: Effect of tillage and Zea mays on<br />
Chenopodium album seedling emergence and density. Weed Science 47, 551-556.<br />
SWANTON, C.J. & S. F WEISE, 1991: Integrated weed management: the rationale and<br />
approach. Weed Technology 5, 657-663.<br />
SWANTON, C. J., D. R. CLEMENTS, D. A. DERKSEN, 1993: Weed succession under<br />
conservation tillage: a hierarchical framework for research and management. Weed<br />
Technology 7, 286 – 297.<br />
THOMAS, A.G. & B. FRICK, 1993: Influence of tillage systems on weed abundance in<br />
southwestern Ontario. Weed Technology 7, 699-705.<br />
WRUCKE, M. A. & W. E. ARNOLD, 1985: Weed species distribution as influenced by<br />
tillage and <strong>herb</strong>icides. Weed Science 33, 853 – 856.<br />
85
Herbologia Vol. 9, No. 2, 2008.<br />
POSSIBILITIES OF REDUCED DOSES OF POST-EMERGENT<br />
HERBICIDES: PRELIMINARY RESULTS<br />
Svetla Maneva & Senka Deneva Milanova<br />
Plant Protection Institute, 2230 Kostinbrod, Bulgaria<br />
e-mail: sve_ma@yahoo.com<br />
Abstract<br />
The objectives of this study were to examine the possibility of<br />
reducing doses of mesosulfuron-methyl + iodosulfuron-methyl-natrium and<br />
clodinofop-propargyl in mixture with adjuvants. The pot experiments were<br />
carried out in greenhouse of Plant Protection Institute, Kostinbrod in 2007,<br />
with test plants of Avena fatua and Alopecurus myosuroides.<br />
Mesosulfuron+iodosulfuron was applied as a commercial formulation<br />
Atlantis WG, Bayer Crop Science (30 g/kg mesosulfuron-methyl + 6 g/kg<br />
iodosulfuron-methyl-natrium + 90 g/kg mefenpyr-diethyl) and clodinonafoppropargyl<br />
as a commercial formulation Topik 240 EC, Syngenta (240 g/l<br />
clodinafop-propargyl) in mixtures with adjuvants. A fraction-polynomial<br />
regression model with lg transformation of the dose was used to summarize<br />
the results. The results showed that inclusion of the adjuvant Biopower in the<br />
spray solution significantly improved the activity of mesosulfuron +<br />
iodosulfuron and allowed reducing the dose up to 50%. Reducing the<br />
application rate of clodinofop-propargyl by 50% in mixture with adjuvant<br />
Phase II was without any loss in efficacy.<br />
Keywords: reduced dose, Avena fatua, Alopecurus myosuroides, Atlantis WG, Topik 240<br />
EC, adjuvant<br />
Introduction<br />
Among the key grass species infesting cereals in Europe are:<br />
Alopecurus myosuroides, Apera spica-venti, Avena fatua, Lolium sp., and<br />
Phalaris sp. (Hofer, 2005). Avena fatua L. and Alopecurus myosuroides<br />
Hudson are the most economically important and widely distributed annual<br />
grass weed species in the world (Scragg et al., 1976; Farahbakhsh et al.,<br />
1987; Wilson & Wright, 1990; Colbach & Chanvel, 2005; Viggiani, 2005;<br />
Gul Hassan et al., 2006; Page et al. 2007). In the last weed survey in<br />
Bulgaria (2004-2007) was established that the most problematic annual grass<br />
weeds in cereal crops were Avena fatua, A. sterilis ssp. ludoviciana (Dirieu)
S. Maneva and S. Deneva Milanova<br />
Gillrt & Magne and Alopecurus myosuroides Hudson (Nikolov et al., 2004,<br />
Milanova et al., 2007; Milanova et al., 2007). The increasing expansion of A.<br />
fatua and A. myosuroides was evident in the last decade. Infestation of these<br />
weed species in cereals is a major limitation to successful cereal production<br />
not only in Europe but around the globe as well (Chancellor & Fround-<br />
Williams, 1984; Hofer et al., 2005). Avena fatua L. is characteristic wild oat<br />
of the Great Britain and North West Europe, North America and other<br />
regions with similar climate (Thurston, 1976). There are a lot of<br />
investigations on the effectiveness of crop competition for better weed<br />
control and possibility to reduce of <strong>herb</strong>icide rates in cereals (Richards,<br />
1993; Stevenson et al., 2000; Walker et al., 2002; Vanaga, 2003; Maneva et<br />
al., 2005; Martinson et al., 2007). Milanova & Valkova (2007) reported that<br />
it is possible to reduce dose of metsulfuron-methyl. This fact is attributed to<br />
the competitive ability of spring barley crop also. Mixture of some <strong>herb</strong>icides<br />
with surfactant-adjuvants allowed for <strong>herb</strong>icide dose reductions up to 50%<br />
without negative effect on the yield of winter wheat (Hristov, G, 1996).<br />
Adjuvants may promote the uptake of <strong>herb</strong>icides but, on the other hand their<br />
presence on the leaf surface can increase the vulnerability of spray deposits<br />
to wash off by rain (Kudsk & Olesen, 1988; Mathiassen & Kudsk, 2002).<br />
Sulfonylureas (ALS inhibiting <strong>herb</strong>icides) are an important and widely used<br />
<strong>herb</strong>icide group against the widely spectrum of weed species. It is very<br />
important to know the possibilities to reduce the dose of widely used<br />
<strong>herb</strong>icides for grass weed control in cereal crops in mixture with adjuvant.<br />
The objectives of this study were to examine the possibility of<br />
reducing doses of mesosulfuron-methyl + iodosulfuron-methyl-natrium and<br />
clodinofop-propargyl in mixture with adjuvants, using the key grass species<br />
as biotest.<br />
Materials and methods<br />
Pot experiments were carried out at the Plant Protection Institute,<br />
Kostinbrod in 2007. Avena fatua and Alopecurus myosuroides were grown in<br />
the greenhouse at a day/night temperature of 25 o /18 o C under 16 h<br />
photoperiod provided by natural light. Seeds of these species were sown in<br />
1.5 L pots in sandy loam soil. The number of plants per pot was reduced to<br />
15 numbers after the emergence. The investigation was performed after the<br />
method of the EWRS working group “Optimization of <strong>herb</strong>icide dose” (notpublished)<br />
and adapted to greenhouse conditions. Mesosulfuron +<br />
iodosulfuron was applied as a commercial formulation Atlantis WG, Bayer<br />
Crop Science (30 g/kg mesosulfuron-methyl + 6 g/kg iodosulfuron-methylnatrium<br />
+ 90 g/kg mefenpyr-diethyl) and clodinonafop-propargyl as a<br />
88
Possibilities of reduced doses of post-emergent <strong>herb</strong>icides: preliminary results<br />
commercial formulation Topik 240 EC, Syngenta (240 g/L clodinafoppropargyl)<br />
in mixtures with adjuvants.<br />
Trial plans:<br />
a/ 1.Untreated; 2.Atlantis* WG 50 g/ha + Biopower 1 L/ha; 3.Atlantis WG<br />
100 g/ha + Biopower 1 L/ha; 4.Atlantis WG 200 g/ha + Biopower 1 L/ha;<br />
5.Atlantis WG 400 g/ha + Biopower 1 L/ha.<br />
b/ 1.Untreated; 2.Topik 240 EC 31.25 ml/ha + Phases II 1 L/ha; 3.Topik 240<br />
EC 62.5 ml/ha+ Phases II 1 L/ha; 4.Topik 240 EC 125 ml/ha + Phases II 1<br />
L/ha; 5.Topik 240 EC 250 ml/ha + 1 L/ha.<br />
* In the article will be used the name of commercial formulation for brief<br />
presentation.<br />
Three pot trials in five replications per treatments were carried out.<br />
Herbicides with adjuvants were applied at two growth stages (GS) of Avena<br />
fatua: 21-23 BBCH and 30-31 BBCH scale (Hess et al., 1997). The plants of<br />
A. myosuroides were treated at the 3 to 4 leaves stages. Herbicide activity<br />
was assessed by recording fresh weight of plants one month after spraying.<br />
Data were analyzed by non-linear regression. The dose response<br />
curves were developed by Non-linear estimation of the statistical software<br />
SATISTICA 5.0. The used estimation method was Quasi–Nuton with R<br />
values for fitting statistical significance of the regression models to the<br />
experimental data.<br />
Results and discussion<br />
Dose response curve: The usually used regression model for dose<br />
respond curves is that presented by Streibig et al. (1995). The case when this<br />
model gives good fitting to the experimental data is when the data have the<br />
S-behavior. The previous statistical estimation showed that in our case the<br />
data had not this characteristic. They were closer to the rectangular<br />
hyperbola. That why the better fitting to the data was obtained using the<br />
regression model (1)<br />
(1) Y=1/(A 1 +A 2 lg(I+X)<br />
where Y – fresh weight as % of the control, X – the applied doses of the<br />
respective <strong>herb</strong>icide, A 1 and A 2 – parameter of the regression model, and I –<br />
corrective coefficient.<br />
This model gives faster decreasing of the curve for the lower doses<br />
and slower decreasing for the higher. With varying of parameter I = 1, 10 or<br />
100 it could conduct the slope in the beginning of the curve.<br />
89
S. Maneva and S. Deneva Milanova<br />
Estimation of the dose reduction: Phytotoxic effects were observed in the<br />
two studied species ranging from chlorosis, necrosis, inhibition of plant<br />
growth to death, depending on the doses of Atlantis WG in mixture with<br />
adjuvant. It was established that serious damage on Avena fatua at the<br />
growth stage 21-23 BBCH scale occurred at normal (full) dose of Atlantis<br />
WG (40 g/ha) and at ½ of normal dose. The reduction of fresh weight was<br />
67.4% and 65.7% respectively (Fig.1, A). Good effect of Atlantis WG at<br />
normal and ½ of normal dose was observed in growth stages of A. fatua 30-<br />
31 BBCH also. The reduction of fresh weight was 70.4% and 66.5%,<br />
respectively (Fig. 1, B). At these doses the plants of A. fatua did not reach<br />
to the inflorescence. The data showed that there is not any difference in<br />
efficacy of <strong>herb</strong>icide, applied at different growth stages of A. fatua.<br />
Martinson et al. (2007) also reported that mesosulfuron applied in reduced<br />
rates did not consistently resulted in less control of A. fatua. With increasing<br />
the doses of Atlantis WG the fresh weight of Alopecurus myosuroides at<br />
studied growth stage decreased (Fig. 1, C). Atlantis WG + adjuvant at<br />
normal and ½ of normal dose significantly affected plant growth. The<br />
reduction of fresh weight was 88.2% and 86.8%, respectively. Severe<br />
phytotoxic symptoms on A. fatua were recorded in two growth stages at full<br />
dose of Topik 240 EC + adjuvant and ½ of normal dose. The reduction of<br />
fresh weight of plants at 21-23 BBCH was 81.6%, 72.5% and at 30-31<br />
BBCH – 77.6%, 72.1%, respectively (Fig.2, A and B). A. myosuroides plants<br />
were injured significantly at normal dose of Topic 240 EK + adjuvant and ½<br />
of normal dose. The reduction of fresh weight was 87.8% and 87.4%,<br />
respectively (Fig. 2, C). It was evident that with increasing the doses of<br />
Topik 240 EK + adjuvant the reduction of fresh weight of plants increased.<br />
90
Possibilities of reduced doses of post-emergent <strong>herb</strong>icides: preliminary results<br />
F r e s h w e i g h t - % o f u n t r e a t e d<br />
B<br />
F r e s h w e i g h t - % o f u n t r e a t e d<br />
F r e s h w e i g h t - % of u n t r e a t e d<br />
110<br />
100<br />
90<br />
80<br />
70<br />
60<br />
50<br />
40<br />
30<br />
110<br />
100<br />
90<br />
80<br />
70<br />
60<br />
50<br />
40<br />
30<br />
A<br />
A v e n a f a t u a - in GS 30-31 BBCH<br />
y=1/(0.00999 + 0.0084.lg(1+x)), R = 0.996 +++<br />
20<br />
0 50 100 150 200 250 300 350 400<br />
120<br />
100<br />
80<br />
60<br />
40<br />
20<br />
A v e n a f a t u a - in GS 21-23 BBCH<br />
y=1/(0.00998+0.007lg(1+x)), R=0.997 +++<br />
20<br />
0 50 100 150 200 250 300 350 400 450<br />
D o s e s o f A T L A N T I S WG - g/ha<br />
D o s e s o f A T L A N T I S WG - g/ha<br />
A l o p e c u r u s m y o s u r o i d e s<br />
y=1/(-0.14296 + 0.0764.lg(100+x)), R = 0.999 +++<br />
0<br />
0 50 100 150 200 250 300 350 400 450<br />
D o s e s o f A T L A N T I S WG - g/ha<br />
C<br />
Figure 1. Effect of reduced doses of ATLANTIS WG + adjuvant on the fresh weigh of :<br />
A – Avena fatua in GS 21-23 BBCH; B – Avena fatua in GS 30-31 BBCH;<br />
C – Alopecurus myosuroides in GS 3-4 leaves<br />
91
S. Maneva and S. Deneva Milanova<br />
F r e s h w e i g h t - % of u n t r e a t e d<br />
A<br />
110<br />
90<br />
70<br />
50<br />
30<br />
A v e n a f a t u a - in GS 21-23 BBCH<br />
y=1/(-0.1437 + 0.0768.lg(100+x)), R = 0.997 +++++<br />
10<br />
0 50 100 150 200 250 300<br />
D o s e s o f T O P I K 240 EC - ml/ha<br />
F r e s h w e i g h t - % of u n t r e t e d<br />
B<br />
F r e s h w e i g h t - % of u n t r e t e d<br />
110<br />
90<br />
70<br />
50<br />
30<br />
A v e n a f a t u a - in GS 30-31 BBCH<br />
y=1/(-0.1497 + 0.0799.lg(100+x)), R= 0.995 +++<br />
10<br />
0 50 100 150 200 250 300<br />
120<br />
100<br />
80<br />
60<br />
40<br />
20<br />
D o s e s o f T O P I K 240 EC - ml/ha<br />
Alopecurus myosuroides<br />
y=1/(-0.197 + 0.1036.lg(100+x)), R=0.977 +++<br />
0<br />
0 50 100 150 200 250 300<br />
D o s e s of T O P I K 240 EC - ml/ha<br />
C<br />
Figure 2. Effect of reduced doses of TOPIK 240 EC + adjuvant on the fresh weight of:<br />
A – Avena fatua in GS 21-23 BBCH; B – Avena fatua in GS 30-31 BBCH; C – Alopecurus<br />
myosuroides in GS 3-4 leaves<br />
92
Possibilities of reduced doses of post-emergent <strong>herb</strong>icides: preliminary results<br />
Conclusion<br />
The results showed that inclusion of the adjuvant Biopower in the<br />
spray solution significantly improved the activity of mesosulfuron +<br />
iodosulfuron and allowed reducing the dose up to 50%. Reducing the<br />
application rate of clodinofop-propargyl by 50% in mixture with adjuvant<br />
Phase II was without any loss in efficacy.<br />
Acknowledgements. We thank to Dr. Per Kudsk for the creation of the method for<br />
investigation of reduced dose and the firms Bayer Crop Science and Syngenta for supply of<br />
the <strong>herb</strong>icides..<br />
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DESMET, E.M., BULCKE, R, MAEGHE, L. 2004: Field experiences with recent ALSinhibitors<br />
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HOFER, U., BUTEL, D., CAMPAGNA, C., GORROCHATEGUI, A., MILLS, C.,<br />
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KUDSK, P., OLESEN, T. 1988: The influence of temperature and humidity on the activity<br />
and rainfastness of DPX – L 5300 applied alone and with a surfactant. Proc. EWRS<br />
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MANEVA, S., MILANOVA, S., BAEVA, G. 2005: Preliminary studies on the potential to<br />
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MARTINSON, K., DURGAN, B., WIERSMA, J. 2007: Wild oat (Avena fatua L.) control<br />
with reduced rates of postemergence <strong>herb</strong>icides. Crop Management, 1-5.<br />
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MATHIASSEN, S., KUDSK, P. 2002: The influence of adjuvants on the efficacy and<br />
rainfastness of iodosulfuron. In 12 th EWRS Symposium, Wageningen, 206-207.<br />
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Herbologia Vol. 9, No. 2, 2008.<br />
CHEMICAL WEED CONTROL IN STANDS OF RED CLOVER<br />
(Trifolium repens L.) IN THE YEAR OF THEIR ESTABLISHMENT<br />
Tsvetanka Dimitrova*, Plamen Marinov-Serafimov<br />
Institute of Forage Crops, 5800 Pleven, Bulgaria<br />
*E-mail: ifc@el-soft. com<br />
Abstract<br />
The possibility for chemical weed control in stands of red clover<br />
(Trifolium repens L.) in the year of their establishment was studied in the<br />
experimental field of the Institute of Forage Crops, Pleven, Bulgaria during<br />
the 2006-2007 period. For that purpose a field trial was carried out on<br />
slightly leached chernozem with prevailing participation of annual monoand<br />
dicotyledonous weeds.<br />
As a result of the study it was found that: The chemical weed control<br />
in the red clover stands in the year of their establishment was successful<br />
through application of the <strong>herb</strong>icides: Imazethapyr 100 a.i.l -1 – 100 ml a.i. ha -<br />
1 ; Imazamox 40 a.i.l -1 - 48 ml a.i. ha -1 ; Imazamox 40 a.i.l -1 – 40 ml a.i. ha -1 +<br />
DESH – 1000 ml ha -1 ; Bentazone 600 a.i. l -1 – 900 ml a.i. ha -1 ; Fluazifop-Pbutyl<br />
150 a.i.l -1 – 225 ml a.i. ha -1 applied at the two to four true leaf stage of<br />
the crop. The treatment with <strong>herb</strong>icides resulted in establishment of uniform<br />
stands with red clover participation of 85 to 94% in the sward and an<br />
increase of their dry biomass productivity by 44 to 66%.<br />
Key words: red clover, weeds, <strong>herb</strong>icides, productivity.<br />
Introduction<br />
Red clover is a perennial legume crop suitable for regions with a<br />
more humid climate and developing also on soils with increased acidity. It is<br />
close in nutritive value to lucerne, a good melliferous plant and, in addition,<br />
it exerts a favourable influence on soil fertility and is an excellent preceding<br />
plant for all crops (Yancheva, 2007).<br />
A biological feature of red clover characteristic, also of the other<br />
perennial legume crops, is its slow rate of growth and development after<br />
sowing, which causes its low competitiveness towards the weeds,<br />
particularly in the year of their establishment.<br />
The decrease of weed population density is most successful through<br />
combination of cultural practices with chemical method. In spite of the<br />
limited studies on this crop, some authors reported for <strong>herb</strong>icides possessing<br />
good selectivity and efficacy (Benkov and Dimitrova, 1983; Lyubenov et al.,<br />
1987; COLUMA, 1973). In his studies, Prodanov (1980) and Rybak (1976)
Ts. Dimitrova and P. Marinov-Serafimov<br />
found that some <strong>herb</strong>icides (Kerb mix B, asulam, THA, 2,4-D, 2M-4H,<br />
bromoxynil) exerted a toxic effect on the crop.<br />
The <strong>herb</strong>icides will remain also in the future agriculture an efficient<br />
means of weed control, as an element of integrated management, so there is a<br />
need for studies to optimize their use (Kudsk and Streibig, 2003).<br />
The objective of this study was to investigate the effect of some<br />
<strong>herb</strong>icides for chemical weed control in the year of establishment of red<br />
clover stands.<br />
Material and methods<br />
The study was conducted on the experimental field of the Institute of<br />
Forage Crops, Pleven on slightly leached medium-deep chernozem during<br />
the 2006-2007 period. The trial was laid out by the block method with a size<br />
of harvest plot of 10 m 2 in the following variants: V 1 – Check zero; V 2 –<br />
Check weeded; V 3 – Imazethapyr 100 a.i. l -1 – 100 ml a.i. ha -1 ; V 4 –<br />
Imazamox 40 a.i.l -1 - 48 ml a.i. ha -1 ; V 5 - Imazamox 40 a.i.l -1 – 40 ml a.i. ha -<br />
1 ; V 6 - Imazamox 40 a.i. l -1 – 40 ml a.i. ha -1 - + DESH – 500 ml a.i. ha -1 ; V 7 -<br />
Imazamox 40 a.i. l -1 – 40 ml a.i. ha -1 - + DESH – 1000 ml a.i. ha -1 ; V 8 -<br />
Bentazone 600 a.i. l -1 – 900 ml a.i. ha -1 – Fluazifop-P-butyl 150 a.i. l -1 – 225<br />
ml a.i. ha -1 .<br />
The <strong>herb</strong>icides were applied with a working solution of 400 l/ha -1 at<br />
the two to four true leaf stage of the crop. The following characteristics were<br />
observed in the study: <strong>herb</strong>icide selectivity (according to the EWRS methods<br />
with a 9-score scale, at score 1: no damages to the crop and at score 9: the<br />
crop is completely killed); <strong>herb</strong>icidal efficacy (by the quantity-weight<br />
method); productivity of dry biomass.<br />
Results and discussion<br />
The high natural background of weed infestation of the area reaching<br />
to a number of 615 per m 2 and the weed fresh biomass of 2268 g/m 2<br />
provided a possibility to evaluate the weed competitive effect on the crop<br />
growth and development, as well as the <strong>herb</strong>icidal efficacy of the products<br />
(Table 1).<br />
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Chemical weed control in stands of red clover (Trifolium repens L.) in the year ...<br />
Table 1. Degree of weed infestation of red clover (average for 2006-2007)<br />
Weeds/m 2* V 1 V 2 V 3<br />
Variant **<br />
V 4 V 5 V 6 V 7 V 8<br />
559 0 7 34 99 76 60 11<br />
Annual monocotyledonous 1298 13 48 194 154 91 25<br />
Setaria spp. 491<br />
1152<br />
4<br />
7<br />
22<br />
52<br />
60<br />
109<br />
55<br />
97<br />
43<br />
60<br />
6<br />
14<br />
Echinochloa crus galli L.<br />
68 3 11 32 21 17 5<br />
140 6 26 85 57 31 11<br />
Annual dicotyledonous<br />
42 10 15 16 12 15 11<br />
0<br />
940 83 110 143 114 73 567<br />
Senapis arvensis L.<br />
8<br />
1<br />
0 0<br />
582<br />
10<br />
0 0 0<br />
Amaranthus spp.<br />
20<br />
3<br />
5 4 4 4 3<br />
190<br />
15<br />
28 41 20 20 7<br />
Chenopodium album L.<br />
7<br />
5 6 6 5 3 4<br />
132 50 61 67 78 33 43<br />
Solanum nigrum L.<br />
7<br />
4 4 5 3 8 4<br />
36 18 21 25 21 20 17<br />
Perennial dicotyledonous<br />
12 6 3 7 6 4 7<br />
0<br />
30 9 6 15 11 8 11<br />
Convolvulus arvensis L.<br />
12 5 3 7 6 4 7<br />
30 9 6 15 11 8 11<br />
Total weeds<br />
615 22 52 115 94 79 29<br />
0<br />
2268 105 194 352 279 172 103<br />
Herbicidal efficacy, % - - 95 91 84 88 92 95<br />
*Weeds/ m 2 : in numerator – number; in denominator – g.<br />
**Variant: V 1 – Check zero; V 2 – Check weeded; V 3 – Imazethapyr 100 a.i. l -1 – 100 ml a.i. ha -1 ;<br />
V 4 – Imazamox 40 a.i.l -1 - 48 ml a.i. ha -1 ; V 5 - Imazamox 40 a.i.l -1 – 40 ml a.i. ha -1; V 6 -<br />
Imazamox 40 a.i. l -1 – 40 ml a.i. ha -1 - + DESH – 500 ml a.i. ha -1 ; V 7 - Imazamox 40 a.i. l -1 – 40<br />
ml a.i. ha -1 - + DESH – 1000 ml a.i. ha -1 ; V 8 - Bentazone 600 a.i. l -1 – 900 ml a.i. ha -1 – Fluazifop-<br />
P-butyl 150 a.i. l -1 – 225 ml a.i. ha -1 .<br />
The highest density was found for Setaria spp. and Echinochloa crus<br />
galli L. from the group of annual monocotyledonous weeds and for<br />
Amaranthus spp., Sinapis arvensis L. and Chenopodium album L. from the<br />
annual dicotyledonous ones representing 57% and 41%, respectively with<br />
regard to their weight per m 2 . From the group of the perennial weeds only<br />
Convolvulus arvensis L. was found with 1% participation.<br />
Due to the mixed type of weed infestation, <strong>herb</strong>icides having effect<br />
on the two weed groups were chosen in the study. The highest <strong>herb</strong>icidal<br />
97
Ts. Dimitrova and P. Marinov-Serafimov<br />
efficacy reaching to 95% was explained by wide-spectrum action of<br />
Imazethapyr. The same efficacy was attained as a result of the mutually<br />
complementary effect of the <strong>herb</strong>icides Bentazone (anti-broadleaved) and<br />
Fluazifop-P-butyl (anti-grass) applied in a system.<br />
With regard to its spectrum of action, the <strong>herb</strong>icide Imazamox<br />
belongs to the group of wide-spectrum <strong>herb</strong>icides with contact effect. Our<br />
observations showed that Chenopodium album was susceptible only at the<br />
earliest stages of its development (from cotyledons to first leaf). When<br />
applied alone at doses of 48 ml a.i. ha -1 and 40 ml a.i. ha -1 , the <strong>herb</strong>icidal<br />
efficacy was 91% and 84%, respectively. Addition of the adjuvant DESH at<br />
a dose of 1000 ml/ha -1 to the <strong>herb</strong>icide at the lower dose resulted in an<br />
increase of the <strong>herb</strong>icidal efficacy by about 8% and reached to 92%. The<br />
adjuvants stimulate the <strong>herb</strong>icide uptake and as a result the <strong>herb</strong>icidal effect<br />
also increases, which in its turn provides a possibility for reduction of the<br />
<strong>herb</strong>icide doses (Dimitrova, 2007; Mathiassen and Kudsk, 2002; Kieloch and<br />
Domardzki, 2005). The positive effect of adjuvant application to some<br />
<strong>herb</strong>icides allows optimizing their doses, which has an favourable effect on<br />
environment.<br />
The studied <strong>herb</strong>icides showed selectivity to red clover. In the system<br />
of Bentazone-Fluazifop-P-butyl no signs of phytotoxicity were observed at<br />
all. In the first two weeks after treatment there was leaf chlorosis in a very<br />
slight to slight degree (score 2-3), which then was overcome and had no<br />
negative residual effect in the application of Imazethapyr, Imazamox and<br />
Imazamox + DESH.<br />
The removal of the competitive effect of weeds contributed to<br />
formation of a uniform dense sward with prevailing participation of the<br />
cultivated component (Table 2).<br />
Table 2. Participation of red clover in the sward (weight %)<br />
Variant * Red clover, % Weeds, %<br />
V 1 36 64<br />
V 2 100 0<br />
V 3 94 6<br />
V 4 91 9<br />
V 5 85 15<br />
V 6 88 12<br />
V 7 92 8<br />
V 8 94 6<br />
Variant*: as in Table 1<br />
In the zero check (V 1 ) red clover participated in the sward only with<br />
36% and the weeds prevailed in the <strong>herb</strong>aceous association with 64%. In the<br />
98
Chemical weed control in stands of red clover (Trifolium repens L.) in the year ...<br />
<strong>herb</strong>icide-treated stands (from V 3 до V 8 ) the crop participation varied from<br />
85 to 94% and the weeds were from 6 to 15%.<br />
The positive effect of the chemical weed control found expression in<br />
the harvested yield of dry biomass from the treated sward (Table 3). On<br />
average for the experimental period the yield from the zero check (V 1 ) was<br />
42% lower than that from the weeded check (V 2 ). The removal of the<br />
competitive effect of weeds by <strong>herb</strong>icide treatment increased the dry biomass<br />
yield by 44 tо 66%, as compared to that from the zero check and besides at<br />
very high statistical significance of the differences.<br />
Table 3. Yield of dry biomass of red clover (without weed participation) in<br />
the year of stand establishment, kg/ha -1<br />
Variant* 2006 2007<br />
Average for<br />
2006-2007<br />
%V 1 %V 2<br />
V 1 1680 1580 1630 100 58<br />
V 2 2930 2650 2790 171 100<br />
V 3 2840 2580 2710 166 97<br />
V 4 2670 2460 2570 158 92<br />
V 5 2460 2240 2350 144 84<br />
V 6 2550 2340 2450 150 88<br />
V 7 2700 2460 2580 158 92<br />
V 8 2720 2500 2610 160 94<br />
LSD P 5% 75.2 122.0 74.6<br />
P 1% 104.4 169.4 103.6<br />
P 0.1% 145.1 235.6 144.1<br />
Variant*: as in Table 1<br />
Conclusions<br />
The chemical weed control in the red clover stands in the year of their<br />
establishment was successful through application of the <strong>herb</strong>icides:<br />
Imazethapyr 100 a.i.l -1 – 100 ml a.i. ha -1 ; Imazamox 40 a.i.l -1 - 48 ml a.i. ha -1 ;<br />
Imazamox 40 a.i.l -1 – 40 ml a.i. ha -1 + DESH – 1000 ml ha -1 ; Bentazone 600<br />
a.i. l -1 – 900 ml a.i. ha -1 ; Fluazifop-P-butyl 150 a.i.l -1 – 225 ml a.i. ha -1<br />
applied at the two to four true leaf stage of the crop.<br />
The treatment with <strong>herb</strong>icides resulted in establishment of uniform<br />
stands with red clover participation of 85 to 94% in the sward and an<br />
increase of their dry biomass productivity by 44 to 66%.<br />
References<br />
BENKOV, B. and TS. DIMITROVA, 1983: Chemical weed control in stands of red clover<br />
for seed and forage. Plant Science, ХХ, 5, 24-29.<br />
COLUMA, 1973: Compte rendu des journees d ’ etudes sur les <strong>herb</strong>icides. France.<br />
99
Ts. Dimitrova and P. Marinov-Serafimov<br />
DIMITROVA, TS., 2007: The problem of weeds in spring forage pea (Pisum sativum L.) for<br />
grain, Herbologia, vol. 8, №1, 29-34.<br />
KIELOCH, R. and K. DOMARADZKI, 2005: The influence of relative humidity on<br />
Anthemis arvensis and Stellaria media control by tribenuron – methyl used аlone<br />
and with adjuvants. 13-th EWRS Symposium, Bari, Italy, GD-ROM.<br />
KUDSK, P. and J.C. STREIBIG, 2003: Herbicides-a twoedged sward. Weed Research, vol.<br />
43. Number 2, 90-102.<br />
LYUBENOV, YA. et al., 1987: Integrated systems of weed control, volume 1, Zemizdat,<br />
Sofia.<br />
MATHIASSEN, S., P. KUDSK, 2002: The influence of adjuvants on the efficacy and<br />
rainfastness of indosulfuron. 12-th EWRS Symposium, 2002, Wageningen, 206-<br />
207.<br />
PRODANOV, I., 1980: Chemical control of weeds and red clover in lucerne stands for seed<br />
production. Plant Science, ХVII, 4, 148-156.<br />
RYBAK, H., 1976: Effects of several <strong>herb</strong>icides on red clever seed production. Canada.<br />
YANCHEVA, HR., 2007: Red and white clover, Agriculture plus, 1, 2-8.<br />
100
Herbologia Vol. 9, No. 2, 2008.<br />
Instruction to Authors in Herbologia<br />
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list should be ordered alphabetically. Examples: AUTHOR, X.Y. & Z.Q.<br />
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Scientific names and latin words et al. should be in italic. When a<br />
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common English names are used, but the scientific name can be given in<br />
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Both British and American forms of common names can be used (e.g. corn<br />
and maize, alfalfa and lucerne etc.), up to the choice of the author. For<br />
<strong>herb</strong>icides and other chemicals, in Materials and methods, one should state<br />
common approved names and trade names, e.g. glyphosate (Roundup 360 a.i.<br />
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