The AMMI and Clusters analysis in the selection of the best experimental corn hybrids.
DOI:
https://doi.org/10.15517/am.v11i1.17353Abstract
Corn hybrids trail was repeated in four different environments, at this was applied the main additive effects and multiplicative interaction analysis (AMMI) and the cluster multivariate analysis or numerictaxonomy, in order to study if the two methods have certain relation to classify for stability and association hybrids performance. Cluster analysis did not show a clear tendency to group to evaluated hybrids for them relatives. According to the results, YG, PH and PRO, were the characteristics more important to joined for evaluated hybrids. The results indicated, that AMMI was effective to determine the stability of experimental hybrids and both (AMMI and Cluster) could be two tools very importants to make a good selection among experimental material.
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