scholarly journals Estimated winter wheat yield reduction following spring freeze events in field conditions

cftm ◽  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Carrie A. Knott
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Field Conditions ◽  
Yield Reduction ◽  
Winter Wheat Yield

Winter Wheat Yield Reduction from Interference by Italian Ryegrass 1

1976 ◽  
Vol 68 (3) ◽  
pp. 463-466 ◽  
Author(s):  
A. P. Appleby ◽  
P. D. Olson ◽  
D. R. Colbert
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Italian Ryegrass ◽  
Yield Reduction ◽  
Winter Wheat Yield

Leaf Rust Resistance Gene Lr9 and Winter Wheat Yield Reduction: I. Yield and Yield Components

Crop Science ◽  
1996 ◽  
Vol 36 (6) ◽  
pp. 1590-1595 ◽  
Author(s):  
Silvano Ortelli ◽  
Hans Winzeler ◽  
Michael Winzeler ◽  
Padruot M. Fried ◽  
Josef Nösberger
Keyword(s):  
Winter Wheat ◽  
Leaf Rust ◽  
Yield Components ◽  
Rust Resistance ◽  
Wheat Yield ◽  
Leaf Rust Resistance ◽  
Yield Reduction ◽  
Leaf Rust Resistance Gene ◽  
Yield And Yield Components ◽  
Winter Wheat Yield

scholarly journals Possible Scenarios of Winter Wheat Yield Reduction of Dryland Qazvin Province, Iran, Based on Prediction of Temperature and Precipitation Till the End of the Century

Climate ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 78 ◽  
Author(s):  
Behnam Mirgol ◽  
Meisam Nazari
Keyword(s):  
Winter Wheat ◽  
Crop Yields ◽  
Wheat Yield ◽  
Annual Precipitation ◽  
Yield Reduction ◽  
Factors Affecting ◽  
Temperature And Precipitation ◽  
Mean Temperature ◽  
Winter Wheat Yield ◽  
Semi Arid

The climate of the Earth is changing. The Earth’s temperature is projected to maintain its upward trend in the next few decades. Temperature and precipitation are two very important factors affecting crop yields, especially in arid and semi-arid regions. There is a need for future climate predictions to protect vulnerable sectors like agriculture in drylands. In this study, the downscaling of two important climatic variables—temperature and precipitation—was done by the CanESM2 and HadCM3 models under five different scenarios for the semi-arid province of Qazvin, located in Iran. The most efficient scenario was selected to predict the dryland winter wheat yield of the province for the three periods: 2010–2039, 2040–2069, and 2070–2099. The results showed that the models are able to satisfactorily predict the daily mean temperature and annual precipitation for the three mentioned periods. Generally, the daily mean temperature and annual precipitation tended to decrease in these periods when compared to the current reference values. However, the scenarios rcp2.6 and B2, respectively, predicted that the precipitation will fall less or even increase in the period 2070–2099. The scenario rcp2.6 seemed to be the most efficient to predict the dryland winter wheat yield of the province for the next few decades. The grain yield is projected to drop considerably over the three periods, especially in the last period, mainly due to the reduction in precipitation in March. This leads us to devise some adaptive strategies to prevent the detrimental impacts of climate change on the dryland winter wheat yield of the province.

Effect of nitrogen top-dressing on winter wheat yield, quantity and quality

2005 ◽  
Vol 34 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Zs. Szentpétery ◽  
Cs. Kleinheincz ◽  
G. Szöllősi ◽  
M. Jolánkai
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Winter Wheat Yield
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