Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso
AbstractSeed cotton yield is a trait governed by multiple genes
that cause changes in the performance of genotypes depending on the
cultivation environment. Breeding programs examine the genotype x
environment interaction (GE) using precise statistical methods, such as
AMMI (additive main effects and multiplicative interaction) and GGE
biplot (genotype main effects + genotype x environment interaction).
The AMMI method combines the analysis of variance and principal
components, to adjust the main effects (genotypes and environments)
and the effects of GE interaction, respectively. The GGE biplot groups
the genotype additive effect together with the multiplicative effect of the
GE interaction, and submits both of these to the principal components
analysis. The aim of this study was to investigate the association between
the AMMI and GGE biplot methods and select cotton genotypes that
simultaneously showed high productivity of seed cotton and stability in
Mato Grosso environments. Trials were conducted with cotton cultivars in
eight environments across Mato Grosso State in the 2008/2009 crop season.
The experiment used a randomized block design with 16 genotypes and
four replicates per genotype x environment combination. Data for seeds cotton productivity were analyzed by AMMI and GGE biplot methods.
Both methods were concordant in the discrimination of environments
and genotypes for phenotypic stability. The genotypes BRS ARAÇÁ and
LD 05 CV had high seed cotton productivity and phenotypic stability,
and could be grown in all environments across Mato Grosso State