Adaptability and stability of semilate and late maturing soybean genotypes in Minas Gerais state

Edmar Soares De Vasconcelos,Cosme Damião Cruz,Múcio Silva Reis,Tuneo Sediyama,Carlos Alberto Scapim

doi:10.4025/actasciagron.v32i3.8249

Abstract

The purpose of this study was to evaluate the phenotypic adaptability and stability for grain yield of soybean genotypes by the method of Annicchiarico and the Integrated Method of adaptability and stability analysis and to identify the genotypes with best performance under environmental variations. The agronomic performance of semilate and late genotypes maturing, was evaluated in the final evaluation trials of the Program of Soybean Genetic Improvement of the UFV, in Viçosa, Florestal and São Gotardo, State of Minas Gerais, in the 2006/2007 and 2007/2008 growing seasons. All field experiments were arranged in a complete randomized block design with 14 treatments and three replications. Line CS 02736 and cultivar UFV TN 105 were classified as adapted to favorable environments, whereas the performance was medium even in unfavorable environments, according to the Integrated Method of adaptability and stability analysis. Yield adaptability and stability of cultivar Monarca were classified as high by the method of Annicchiarico and by the Integrated Method of adaptability and stability analysis.

Highlights

Soybean (Glycine max (L.) Merrill) is grown in several regions of the world, in a wide range of environments
Breeders in general tend to interpret the genotype x environment (GE) interaction as negative, it must be remembered that significant interactions associated with predictable environmental characteristics represent an opportunity for high yields
The results indicated that the genotype x location x growing season (GxLxY) contributed most to the GE interaction, calling for a more detailed study)

Summary

Introduction

Soybean (Glycine max (L.) Merrill) is grown in several regions of the world, in a wide range of environments. This significantly affects the grain yield of the different genotypes due to the genotype x environment (GE) interaction. Breeders in general tend to interpret the GE interaction (which in this case represents a barrier to high heritability and gain from selection) as negative, it must be remembered that significant interactions associated with predictable environmental characteristics represent an opportunity for high yields. In specific cases, the positive effect of GE interaction can be useful for plant breeders, and the interaction is a problem and an Maringá, v. In order to explore these positive interaction effects, statistical methods capable of capturing such information are needed

Objectives

Methods

Results

Conclusion