scholarly journals Winter Wheat Response to Preplant Applications of Aminocyclopyrachlor

2011 ◽  
Vol 25 (1) ◽  
pp. 51-57 ◽  
Author(s):  
Andrew R. Kniss ◽  
Drew J. Lyon
Keyword(s):  
Winter Wheat ◽  
Yield Loss ◽  
Wheat Yield ◽  
Field Studies ◽  
Wheat Crop ◽  
Yield Losses ◽  
Fallow Period ◽  
Winter Wheat Yield ◽  
Winter Wheat Crop ◽  
Preceding Winter

Field studies were conducted in Wyoming and Nebraska in 2007 through 2009 to evaluate winter wheat response to aminocyclopyrachlor. Aminocyclopyrachlor was applied at rates between 15 and 120 g ai ha−1 6, 4, and 2 mo before winter wheat planting (MBP). Redroot pigweed control was 90% with aminocyclopyrachlor rates of 111 and 50 g ha−1 when applied 4 or 2 MBP. Aminocyclopyrachlor at 37 g ha−1 controlled Russian thistle 90% when applied 6 MBP. At Sidney, NE, winter wheat yield loss was > 10% at all aminocyclopyrachlor rates when applied 2 or 4 MBP, and at all rates > 15 g ha−1 when applied 6 MBP. At Lingle, WY, > 40% winter wheat yield loss was observed at all rates when averaged over application timings. Although the maturing wheat plants looked normal, few seed were produced in the aminocyclopyrachlor treatments, and therefore preharvest wheat injury ratings of only 5% corresponded to yield losses ranging from 23 to 90%, depending on location. The high potential for winter wheat crop injury will almost certainly preclude the use of aminocyclopyrachlor in the fallow period immediately preceding winter wheat.

Predicting potential winter wheat yield losses caused by multiple disease systems and climatic conditions

2017 ◽  
Vol 99 ◽  
pp. 17-25 ◽  
Author(s):  
Radivoje Jevtić ◽  
Vesna Župunski ◽  
Mirjana Lalošević ◽  
Ljubica Župunski
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Climatic Conditions ◽  
Yield Losses ◽  
Winter Wheat Yield

Interseeding berseem clover in winter wheat

2017 ◽  
Vol 32 (6) ◽  
pp. 573-575
Author(s):  
Randy L. Anderson
Keyword(s):  
Winter Wheat ◽  
Seedling Survival ◽  
Seedling Emergence ◽  
Wheat Yield ◽  
Planting Dates ◽  
Wheat Growth ◽  
Drought Tolerant ◽  
Winter Wheat Yield ◽  
Berseem Clover ◽  
Preceding Winter

AbstractInterseeding annual clovers in cereal grains may help organic producers reduce use of tillage following cereal harvest. Using clovers that winterkill would minimize need for tillage in the spring also. The objective of this study was to evaluate seedling emergence and survival of berseem clover (Trifolium alexandrinum L.) in winter wheat (Triticum aestivum L.). Berseem clover (hereafter, referred to as berseem) was planted 0, 2 and 4 weeks after initiation of winter wheat growth in the spring. Berseem density was highest when planted on April 12, 2 weeks after winter wheat broke dormancy. Establishment density was 40–80% less with the other planting dates. A dry interval during the 5 weeks preceding winter wheat harvest reduced seedling survival of berseem, killing more than 80% of seedlings. Winter wheat yield was reduced at the last planting date of berseem, which was attributed to mechanical injury to winter wheat by the drill when planting berseem. Berseem may not be viable for interseeding at this location or in drier regions. Clover species that are more drought tolerant will be needed.

Control of Italian Ryegrass (Lolium multiflorum) in Winter Wheat

2005 ◽  
Vol 19 (2) ◽  
pp. 261-265 ◽  
Author(s):  
Aaron J. Hoskins ◽  
Bryan G. Young ◽  
Ronald F. Krausz ◽  
John S. Russin
Keyword(s):  
Winter Wheat ◽  
Yield Loss ◽  
Lolium Multiflorum ◽  
Wheat Yield ◽  
Acetolactate Synthase ◽  
Field Studies ◽  
Italian Ryegrass ◽  
Acetyl Coa Carboxylase ◽  
Application Timing ◽  
Foliar Symptoms

Field studies were established in 1999 and 2000 to evaluate Italian ryegrass, wheat, and double-crop soybean response to fall and spring postemergence applications of flucarbazone, sulfosulfuron, clodinafop, diclofop, and tralkoxydim applied alone and in combination with thifensulfuron + tribenuron to winter wheat. Fall-applied herbicides caused 5% or less wheat injury. Spring-applied herbicides caused 3 to 45% wheat injury, and the greatest injury occurred with the combination of flucarbazone with thifensulfuron + tribenuron in the spring of 2001. Spring-applied sulfosulfuron, tralkoxydim, diclofop, and clodinafop caused 3 to 6% and 16 to 26% wheat injury in 2000 and 2001, respectively. Herbicide injury to wheat did not reduce wheat grain yield compared with the hand-weeded treatment. Italian ryegrass competition in the nontreated plots reduced wheat yield by as much as 33% compared with herbicide-treated plots. Italian ryegrass control was 89 to 99% from clodinafop and diclofop and 78 to 97% from flucarbazone, with no differences because of application timing in either year of the study. Italian ryegrass control from sulfosulfuron and tralkoxydim was greater from the spring of 2000 applications (94 to 99%) compared with the fall of 1999 applications (65 to 88%). However, in 2001, application timing (fall vs. spring) for sulfosulfuron and tralkoxydim did not affect Italian ryegrass control. Thifensulfuron + tribenuron combined with tralkoxydim reduced control of Italian ryegrass control compared with tralkoxydim alone in both years of the study. Italian ryegrass control was not reduced when thifensulfuron + tribenuron was combined with sulfosulfuron, flucarbazone, diclofop, or clodinafop. Italian ryegrass was controlled effectively by the acetyl-CoA carboxylase–inhibiting herbicides diclofop, clodinafop, and tralkoxydim. However, control of Italian ryegrass with the acetolactate synthase–inhibiting herbicides flucarbazone and sulfosulfuron was inconsistent. Double-crop soybean after wheat did not have foliar symptoms or yield loss from fall- or spring-applied herbicides.

Risk assessment model of drought-caused winter wheat yield loss and its applications in Henan province

2006 ◽  
Author(s):  
Ronghua Liu ◽  
Shuanghe Shen ◽  
Zixi Zhu ◽  
Wenying Kang ◽  
Wensong Fang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Winter Wheat ◽  
Yield Loss ◽  
Wheat Yield ◽  
Henan Province ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Winter Wheat Yield

scholarly journals The affectivity using of the winter wheat by detailed methoda of the structure harvest

2019 ◽  
Vol 2019 (2) ◽  
pp. 6-14
Author(s):  
G.F. Оlkhovskyi ◽  
М.А. Bobro ◽  
О.F. Chechui
Keyword(s):  
Winter Wheat ◽  
Key Words ◽  
Wheat Yield ◽  
Wheat Crop ◽  
Yield Structure ◽  
Winter Wheat Yield ◽  
Individual Features ◽  
The Individual ◽  
The Relationship

The most difficult but most informative method of determining the structure of winter wheat yield with the use of large bunches of samples is presented. The role of the stem in the formation of allthe elements of winter wheat yield structure is determined. The advantage of our method is that it allows to get deeper information about the structure of the wheat crop, as it reveals the relationship between the individual elements of the crop structure and shows the amplitude of fluctuations in individual features of thewheat crop structure. Key words: winter wheat, yield structure, stem, weight and number of grains.

scholarly journals Comparison of biophysical and satellite predictors for wheat yield forecasting in Ukraine

2015 ◽  
Vol XL-7/W3 ◽  
pp. 39-44 ◽  
Author(s):  
A. Kolotii ◽  
N. Kussul ◽  
A. Shelestov ◽  
S. Skakun ◽  
B. Yailymov ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Crop Yield ◽  
Wheat Yield ◽  
Biophysical Model ◽  
Wheat Crop ◽  
Biophysical Parameters ◽  
Model Based ◽  
Winter Wheat Crop ◽  
Yield Forecasting ◽  
Crop Yield Forecasting

Winter wheat crop yield forecasting at national, regional and local scales is an extremely important task. This paper aims at assessing the efficiency (in terms of prediction error minimization) of satellite and biophysical model based predictors assimilation into winter wheat crop yield forecasting models at different scales (region, county and field) for one of the regions in central part of Ukraine. Vegetation index NDVI, as well as different biophysical parameters (LAI and fAPAR) derived from satellite data and WOFOST crop growth model are considered as predictors of winter wheat crop yield forecasting model. Due to very short time series of reliable statistics (since 2000) we consider single factor linear regression. It is shown that biophysical parameters (fAPAR and LAI) are more preferable to be used as predictors in crop yield forecasting regression models at each scale. Correspondent models possess much better statistical properties and are more reliable than NDVI based model. The most accurate result in current study has been obtained for LAI values derived from SPOT-VGT (at 1 km resolution) on county level. At field level, a regression model based on satellite derived LAI significantly outperforms the one based on LAI simulated with WOFOST.

Impact of Preceding Crop and Cultural Practices on Rye Growth in Winter Wheat

2009 ◽  
Vol 23 (4) ◽  
pp. 564-568 ◽  
Author(s):  
Randy L. Anderson
Keyword(s):  
Winter Wheat ◽  
Spring Wheat ◽  
Yield Loss ◽  
Cultural Practices ◽  
Wheat Yield ◽  
Seeding Rate ◽  
Starter Fertilizer ◽  
Preceding Crop ◽  
Winter Wheat Yield ◽  
The Impact

Improving crop vigor can suppress growth of weeds present in the crop. This study examined the impact of preceding crop and cultural practices on rye growth in winter wheat. Preceding crops were soybean, spring wheat, and an oat/dry pea mixture. Two cultural treatments in winter wheat were also compared, referred to as conventional and competitive canopies. The competitive canopy differed from the conventional in that the seeding rate was 67% higher and starter fertilizer was banded with the seed. The study was conducted at Brookings, SD. Rye seed and biomass production differed fourfold among treatments, with winter wheat following oat/pea being most suppressive of rye growth. Rye produced 63 seeds/plant in winter wheat with a competitive canopy that followed oat/pea, contrasting with 273 seeds/plant in conventional winter wheat following spring wheat. Yield loss in winter wheat due to rye interference increased with rye biomass, but winter wheat was more tolerant of rye interference following oat/pea compared with the other preceding crops. Regression analysis indicated that winter wheat yield loss at the same rye biomass was threefold higher following spring wheat or soybean compared with oat/pea as a preceding crop. Winter wheat competitiveness and tolerance to rye can be improved by increasing the seeding rate, using a starter fertilizer, and growing winter wheat after an oat/pea mixture.

scholarly journals Understanding the Competitive Effects of Blessed Milkthistle Densities on Wheat

2020 ◽  
Vol 38 ◽  
Author(s):  
A. REHMAN ◽  
R. QAMAR ◽  
M.E. SAFDAR ◽  
H.M.R. JAVEED ◽  
M. SHEHZAD ◽  
...  
Keyword(s):  
Weed Management ◽  
Yield Loss ◽  
Cost Effective ◽  
Field Studies ◽  
Wheat Crop ◽  
Yield Losses ◽  
Comprehensive Understanding ◽  
Gradual Reduction ◽  
Competitive Effects ◽  
1000 Grain Weight

ABSTRACT: Weed-induced yield loss in wheat crop is a great threat to food security in Pakistan. A comprehensive understanding of weed-crop competition is very important to develop sustainable and cost-effective weed management. For this purpose, two-year field studies were conducted to determine the effect of different blessed milkthistle densities on the phenology and yield of wheat crop in a rice-wheat cropping scheme in Sargodha, Pakistan during 2013-2014 and 2014-2015. The experiment comprised seven treatments: control (weed free), weedy check (weedy without any control) and blessed milkthistle densities of 5, 10, 15, 20 and 25 plants m-2. In response to increasing weed density, a gradual reduction in yield and yield-related traits of wheat was noted. Compared to the weed-free control, a significant reduction in number of productive tillers m-2 (20% and 18%), plant height (15% and 18%), spike length (19% and 26%), number of grains spike-1 (23% and 26%), 1000 grain weight (28% and 28%), grain (29% and 30%) and biological (20% and 24%) yields of wheat occurred at and beyond blessed milkthistle density of 5 plants m-2 during 2013-2014 and 2014-2015 respectively. It can be concluded that blessed milkthistle weed must be controlled if its population density reaches 5 plants m-2 in order to avoid significant grain yield losses in wheat.

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