Modeling Genotype X Environment Interaction And Yield Stability In Multi-environment Maize (zea Mays L.) Yield Trial

Multi-environment trials (MET) play an important role to develop an understanding ofrnhow genotypes of an agricultural crop perform under different growing conditions. [n arnMET, a number of genotypes are tested in a number of environments using designs thatrninvolve several replications per environment. Plant breeders conduct multi-environmentrntrials primarily to make cultivar evaluation and recommendation for a target region.rnHowever, this task is not generally easy due to the frequent presence of genotype xrnenvironment interaction. Genotype x environment interaction (GxE) is differentialrngenotypic expression across envirorunents. A significant GxE for a quantitative trait suchrnas yield can seriously limit efforts in selecting superior genotypes for both new croprnintroduction and improved cultivar development. A number of methods and models havernbeen proposed to cope with the presence of GxE in multi -environment trial s.rnTraditional statistical analyses of multi -environment trials provide little or no insight intornthe parti(;ular pattern or stru(;ture of the GxE. The additive main

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