2017
DOI: 10.1590/1984-70332017v17n4a54
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Abstract: Abstract:This study aimed to identify promising arabica coffee genotypes for organic systems. The experiments were arranged in a randomized block design, with 30 genotypes and three replications. The adaptability and stability analysis was carried out using the modified centroid method, considering the mean yield of two biennia

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Cited by 5 publications
(2 citation statements)
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References 16 publications
(25 reference statements)
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“…These results indicate that both the effects of genotypes (clones) and the effect of the GxE interaction are important for the expression of the beverage quality. Significant effects of the genotype × environment interaction in coffee growing were also reported in other studies (Barbosa et al, 2012;Borém et al, 2019;Laviola et al, 2007;Fonseca et al, 2019;Moura et al, 2017).…”
Section: Resultssupporting
confidence: 83%
“…These results indicate that both the effects of genotypes (clones) and the effect of the GxE interaction are important for the expression of the beverage quality. Significant effects of the genotype × environment interaction in coffee growing were also reported in other studies (Barbosa et al, 2012;Borém et al, 2019;Laviola et al, 2007;Fonseca et al, 2019;Moura et al, 2017).…”
Section: Resultssupporting
confidence: 83%
“…The GGE biplot model (genotype main effects + genotype by environment interaction) is based on principal component analysis to represent the response of genotypes in a set of environments, quantifying the interaction in twodimensional diagrams that show the relations between the environments and genotypes (YAN et al, 2007). In addition, it has the advantages of using reference points in principal component analyses, as performed in the centroid method (MOURA et al 2017).…”
Section: Introductionmentioning
confidence: 99%