Probabilistic assessment of crop yield loss to drought time‐scales in Xinjiang, China

2021 ◽  
Author(s):  
Huawei Li ◽  
Yongping Li ◽  
Guohe Huang ◽  
Jie Sun
Keyword(s):  
Time Scales ◽  
Crop Yield ◽  
Yield Loss ◽  
Probabilistic Assessment ◽  
Crop Yield Loss

A simulation analysis of crop yield loss due to rust disease

1977 ◽  
Vol 2 (3) ◽  
pp. 189-198 ◽  
Author(s):  
P.S. Teng ◽  
M.J. Blackie ◽  
R.C. Close
Keyword(s):  
Crop Yield ◽  
Yield Loss ◽  
Simulation Analysis ◽  
Rust Disease ◽  
Crop Yield Loss

Modeling With Limited Data: The Influence of Crop Rotation and Management on Weed Communities and Crop Yield Loss

Weed Science ◽  
2009 ◽  
Vol 57 (2) ◽  
pp. 175-186 ◽  
Author(s):  
Stephen R. Canner ◽  
L. J. Wiles ◽  
Robert H. Erskine ◽  
Gregory S. McMaster ◽  
Gale H. Dunn ◽  
...  
Keyword(s):  
Crop Rotation ◽  
Crop Yield ◽  
Weed Management ◽  
Yield Loss ◽  
Cost Effective ◽  
Crop Rotations ◽  
Alternative Crop ◽  
Weed Communities ◽  
Multiple Species ◽  
Crop Yield Loss

Theory and models of crop yield loss from weed competition have led to decision models to help growers choose cost-effective weed management. These models are available for multiple-species weed communities in a single season of several crops. Growers also rely on crop rotation for weed control, yet theory and models of weed population dynamics have not led to similar tools for planning of crop rotations for cost-effective weed management. Obstacles have been the complexity of modeling the dynamics of multiple populations of weed species compared to a single species and lack of data. We developed a method to use limited, readily observed data to simulate population dynamics and crop yield loss of multiple-species weed communities in response to crop rotation, tillage system, and specific weed management tactics. Our method is based on the general theory of density dependence of plant productivity and extensive use of rectangular hyperbolic equations for describing crop yield loss as a function of weed density. Only two density-independent parameters are required for each species to represent differences in seed bank mortality, emergence, and maximum seed production. One equation is used to model crop yield loss and density-dependent weed seed production as a function of crop and weed density, relative time of weed and crop emergence, and differences among species in competitive ability. The model has been parameterized for six crops and 15 weeds, and limited evaluation indicates predictions are accurate enough to highlight potential weed problems and solutions when comparing alternative crop rotations for a field. The model has been incorporated into a decision support tool for whole-farm management so growers in the Central Great Plains of the United States can compare alternative crop rotations and how their choice influences farm income, herbicide use, and control of weeds in their fields.

Estimation of Crop Yield Loss Due to Interference by Multiple Weed Species

Weed Science ◽  
1994 ◽  
Vol 42 (1) ◽  
pp. 103-109 ◽  
Author(s):  
Scott M. Swinton ◽  
Douglas D. Buhler ◽  
Frank Forcella ◽  
Jeffrey L. Gunsolus ◽  
Robert P. King
Keyword(s):  
Crop Yield ◽  
Yield Loss ◽  
Yield Function ◽  
Data Sets ◽  
Species Competition ◽  
Coefficient Estimates ◽  
Weed Species ◽  
Common Lambsquarters ◽  
Competition Coefficient ◽  
Crop Yield Loss

Previous efforts to model crop yield loss from multiple weed species constructed competitive indices based on yield loss from individual weed species. Our model uses a multispecies modification of Cousens’ rectangular hyperbolic yield function to estimate a nonlinear competitive index for weed-crop interference. Results from 13 Minnesota and Wisconsin data sets provide measures of the relative competitiveness of mixed green and yellow foxtails, common lambsquarters, redroot pigweed, velvetleaf, and several other weed species. Competition coefficient estimates are stable over years, but not locations.

Analysis of competition between wet-seeded rice and barnyardgrass (Echinochloa crus-galli) using a response–surface model

Weed Science ◽  
2004 ◽  
Vol 52 (1) ◽  
pp. 142-146 ◽  
Author(s):  
Hanwen Ni ◽  
Keith Moody ◽  
Restituta P. Robles
Keyword(s):  
Response Surface ◽  
Crop Yield ◽  
Yield Loss ◽  
The Philippines ◽  
Response Surface Model ◽  
Surface Model ◽  
Weed Competition ◽  
Plant Type ◽  
Crop Density ◽  
Crop Yield Loss

Competition between wet-seeded rice and barnyardgrass under two distinct environments was analyzed using a two-parameter response–surface model at the International Rice Research Institute in the Philippines. The findings showed that this model could predict crop yield loss due to weed competition over a wide range of crop and weed densities. The low-tillering, new plant–type cultivar was a weaker competitor and had a higher yield loss than high-tillering cultivar ‘IR72’ and a hybrid. Increasing the crop density could reduce yield loss due to weed competition. This effect was greater for the new plant type than for IR72 and the hybrid when barnyardgrass density was low. In contrast, this effect was less for the new plant type than for IR72 and the hybrid when the weed density was high. Competitiveness of the three rice cultivars was also affected by season. Crop yield loss was higher in the wet season than in the dry season.

Crop rotations with temporary grassland shifts weed patterns and allows herbicide-free management without crop yield loss

2021 ◽  
Vol 306 ◽  
pp. 127140
Author(s):  
Rubia Dominschek ◽  
Arthur Arrobas Martins Barroso ◽  
Claudete Reisdorfer Lang ◽  
Anibal de Moraes ◽  
Reuben Mark Sulc ◽  
...  
Keyword(s):  
Crop Yield ◽  
Yield Loss ◽  
Crop Rotations ◽  
Crop Yield Loss
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