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Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot

Gabriel de Moraes Cunha Gonçalves, Regina Lúcia Ferreira Gomes, Ângela Célis de Almeida Lopes, Paulo Fernando de Melo Jorge Vieira

2020Crop Breeding and Applied Biotechnology37 citationsDOIOpen Access PDF

Abstract

The aim of this study was to ascertain the association between the REML/BLUP and GGE Biplot methodologies for selection of superior genotypes in regard to adaptability and yield stability for various regions of the Middle North region of Brazil. Sixteen soybean genotypes were evaluated in eight environments during the 2015/2016 and 2016/2017 crop seasons, analyzing the following traits: number of days to maturity, plant height, one hundred seed weight, and grain yield. In this study, the REML/BLUP and the GGE Biplot methods are highly correlated in terms of genotype ranking for selection and recommendation purposes. The genotypes BRASBT13-0528, M8372 IPRO, and BRASBT13-0621 most approximate a hypothetical ideal genotype.

Topics & Concepts

BiplotBest linear unbiased predictionRestricted maximum likelihoodBiologyAdaptabilitySelection (genetic algorithm)Mixed modelGene–environment interactionGrain yieldBiotechnologyGenotypeAgronomyStatisticsMathematicsMaximum likelihoodGeneticsEcologyArtificial intelligenceComputer scienceGeneGenetics and Plant BreedingGenetic Mapping and Diversity in Plants and AnimalsSoybean genetics and cultivation
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