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Statistical methods to study adaptability and stability of wheat genotypes Bragantia
Bornhofen,Elesandro; Benin,Giovani; Storck,Lindolfo; Woyann,Leomar Guilherme; Duarte,Thiago; Stoco,Matheus Giovane; Marchioro,Sergio Volmir.
ABSTRACT The sensitivity of wheat crop to environmental variations frequently results in significant genotype (G) x environment (E) interaction (GEI). We compared statistical methods to analyze adaptability and stability of wheat genotypes in value for cultivation and use (VCU) trials. We used yield performance data of 22 wheat genotypes evaluated in three locations (Guarapuava, Cascavel, and Abelardo Luz) in 2012 and 2013. Each trial consisted of a complete randomized block design with three replications. The GEI was evaluated using methodologies based on mixed models, analysis of variance, linear regression, multivariate, and nonparametric analysis. The Spearman’s rank correlation coefficient was used to verify similarities in the genotype selection...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Triticum aestivum L.; Univariate and multivariate methods; Rank correlation; Grain yield; Multi-environment trials.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052017000100001
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