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• W2116504865 endingPage "1779" @default.
• W2116504865 startingPage "1772" @default.
• W2116504865 abstract "The selection of soybean genetic material for crop production is complicated by genotype x environment interactions (GxE) during the development of breeding materials. The Additive Main Effects and Multiplicative Interactions (AMMI) model is the most commonly used model for modeling GxE and analyzing field data in plant breeding experiments. The objective of this study was to evaluate the significance and magnitude of the effect of GxE on soybean grain yield using a biplot based on AMMI analysis. The study also aimed to determine the relationship between total yield and various yield components for soybean using a sequential path analysis. For this purpose, data on grain yields and agronomic traits for 12 soybean genotypes over seven growing seasons (2004-2010) were collected. The first two components of the AMMI model explained 61.5% of the G E. According to the biplot analysis, no single plant material had the highest yield across all environmental growing conditions. The genotype H98-1521 had the highest yields overall, in addition to a high average yield and less variable yields across different environments. The sequential path analysis demonstrated that soybean yield is significantly related to the following yield components: Weight of 100 seeds (100SEW), plant height at first pod (FPOH), and plant height at R7 (PLHR7)." @default.
• W2116504865 created "2016-06-24" @default.
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• W2116504865 date "2013-10-01" @default.
• W2116504865 modified "2023-09-24" @default.
• W2116504865 title "AMMI and sequential path analyses of soybean [Glycine max (L.) Merrill] experimental lines in a breeding program in the Mexican tropics." @default.
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