Analysis of new experimental barley genotype performance for grain yield using AMMI biplot
Milan Mirosavljević, Novo Pržulj, Petar Čanak
Abstract
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Milan Mirosavljević, Novo Pržulj, Petar Čanak
Abstract
Open-access reader
Presence of GE interaction reduces the correlation between genotypic and phenotypic parameters and complicates progress of selection. Among several methods proposed for evaluation of the GE interaction, the AMMI model is one of the most commonly used. The objective of this study was to estimate the GE interaction in new barley lines using the AMMI model, and to identify winter barley genotypes with stable and high yield. Multi-location trials with 25 winter barley advanced lines were conducted at four locations. The AMMI model was used to estimate GE interaction. The AMMI analysis of variance indicated that the genotype, environment and GE interaction had significant influence (p<0,01) on barley grain yield. Based on AMMI method, G8 and G18 could be recommended for further testing due their high and stable yields.
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Presence of GE interaction reduces the correlation between genotypic and phenotypic parameters and complicates progress of selection. Among several methods proposed for evaluation of the GE interaction, the AMMI model is one of the most commonly used. The objective of this study was to estimate the GE interaction in new barley lines using the AMMI model, and to identify winter barley genotypes with stable and high yield. Multi-location trials with 25 winter barley advanced lines were conducted at four locations. The AMMI model was used to estimate GE interaction. The AMMI analysis of variance indicated that the genotype, environment and GE interaction had significant influence (p<0,01) on barley grain yield. Based on AMMI method, G8 and G18 could be recommended for further testing due their high and stable yields.
Key concepts: Ammi, Biplot, Grain yield, Interaction, Yield (engineering), Main effect, Gene–environment interaction, Genotype