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CERES-Maize model for simulating genotype-by-environment interaction of maize and its stability in the dry and wet savannas of Nigeria
Field Crops Research ( IF 5.8 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.fcr.2020.107826
A A Adnan 1, 2, 3 , J Diels 2 , J M Jibrin 3 , A Y Kamara 4 , A S Shaibu 1, 3 , P Craufurd 5 , Abebe Menkir 4
Affiliation  

Highlights • Genotype by Environment Interaction (GEI) makes it difficult for breeders and growers to select stable, high yielding varieties across different environments thereby reducing the effectiveness of the selection process.• Determining the magnitude of GEI and the stability of varieties can be challenging, as such, crop models can be employed to complement this process.• Dynamic models that can simulate the response of growth and development of crops to varying abiotic environmental factors have the potential to explain yield differences due to temporal and spatial variability.• Crop Simulation Models were used to complement multi environment trials (METs) with a view to enhancing selection of high yielding varieties across multiple locations.• The model simulations matched actual observations and produced similar ranking, indicating that properly calibrated and evaluated CERES-Maize model can complement METs.

中文翻译:

用于模拟玉米基因型与环境相互作用的 CERES-玉米模型及其在尼日利亚干湿稀树草原中的稳定性

亮点 • 环境相互作用基因型 (GEI) 使育种者和种植者难以在不同环境中选择稳定、高产的品种,从而降低选择过程的有效性。• 确定 GEI 的大小和品种的稳定性可能具有挑战性,因此,可以采用作物模型来补充这一过程。• 可以模拟作物生长和发育对不同非生物环境因素的响应的动态模型有可能解释由于时间和空间变异性造成的产量差异。• 作物模拟模型被用来补充多环境试验 (MET),以加强多地点高产品种的选择。• 模型模拟与实际观察相匹配并产生类似的排名,表明正确校准和评估的 CERES-Maize 模型可以补充 MET。
更新日期:2020-08-01
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