Genotypic stability and adaptability in tropical maize based on AMMI and GGE biplot analysis

Abstract

ABSTRACT. We evaluated the phenotypic and genotypic stability and adaptability of hybrids using the additive main effect and multiplicative interaction (AMMI) and genotype x genotype-environment interaction (GGE) biplot models. Starting with 10 singlecross hybrids, a complete diallel was done, resulting in 45 doublecross hybrids that were appraised in 15 locations in Southeast, Center-West and Northeast Brazil. In most cases, when the effects were considered as random (only G effects or G and GE simultaneously) in AMMI and GGE analysis, the distances between predicted values and observed values were smaller than for AMMI and GGE biplot phenotypic means; the best linear unbiased predictors of G and GE generally showed more accurate predictions in AMMI and GGE analysis. We found the GGE biplot method to be superior to the AMMI 1 graph, due to more retention of GE and G + GE in the graph analysis. However, based on cross-validation results, the GGE biplot was less accurate than the AMMI 1 graph, inferring that the quantity of GE or G + GE retained in the graph analysis alone is not a good parameter for choice of stabilities and adaptabilities when comparing AMMI and GGE analyses.

Stability and adaptability of upland rice genotypes

“…The results of this study demonstrate, as pointed out in several other papers as well (Stein 1955, Smith et al 2001, Balestre et al 2009b, that the means should not be regarded as the best choice for the estimation of future values and to study IGE. It is worth mentioning that GGE analysis using phenotypic mean resulted in a high accuracy and are not likely to cause major damage in selection and/ or recommendation, considering only the winning genotypes, i.e., similarity was observed in the identification of the two winning genotypes in the two possible mega- environments (BRS Pepita and CMG 1152).…”

“…Besides, although the GGE M Balestre et al biplot analysis is very similar to AMMI 1, it usually explains a greater proportion of G + GE and could, in most cases, result in a more accurate graphic (Yan et al 2007, Gauch et al 2008, Balestre et al 2009a). This statement can however not be taken as a rule (Balestre et al 2009b).…”

Determining behaviour of maize genotypes and growing environments using AMMI statistics

“…In the present investigation, AMMI analysis has been used successfully for determining behavior four environments and 33 maize genotypes. AMMI statics has also been used earlier to quantify complexity of GxE interactions and to identify genotypes adapted to specific or broad environmental conditions (Balestre et al, 2009;Babic et al, 2010;Kandus et al, 2010;Jha et al, 2013;Abuali et al, 2014;Kumar et al, 2014).…”

Adaptability and Stability of Corn Hybrids in Southern Brazilian Environments

“…In recent years, various approaches have been proposed focusing in an easy and accurate way to measure genotype performance in various environments (Balestre, Von Pinho, Souza, & Oliveira, 2009). Therefore, numerous scientific studies that identify corn hybrid performances in different environments have been published (Badu-Apraku, Oyekunle, Akinwale, & Aderounmu, 2013;Beiragi, Khorasani, & Nabavi, 2011;Liu et al, 2013;Niu et al, 2013;Pena et al, 2012).…”