Abstract

The use of different evaluation methods of adaptability and stability in a breeding program is essential to obtain more accurate results of the lines that have been studied. The purpose of this research is to study the adaptability and stability of 25 soybean lines derived from the soybean breeding program, and for that, it was used parametric and non-parametric analysis at the Federal University of Uberlandia. The experiment was set up in randomized complete block design with three replications in three sowing periods (November 2006, November 2007 and November 2008) and conducted in Campo Alegre de Goias, Brazil. Thirty soybean genotypes were evaluated, including 25 late-cycle lines and five cultivars (BRS/MG Garantia, UFUS Impacta, UFUS Xavante UFUS Milionaria and M-Soy 8914) as controls). Grain productivity was determined for each block. The average yield was 3104.201 kg ha -1 . Adaptability and stability were determined using Eberhart and Russel (1966), Lin and Binns (1988) modified by Carneiro (1998) and Centroide (ROCHA, 2005) methods. The UFUS 6 and UFUS 21 lines and the UFUS Impacta and UFUS Xavante cultivars stood out because they had the highest average grain yield, highest adaptability and stability regardless of evaluation method.

Highlights

  • Soybeans are one of the most important crops in the world and in Brazilian agribusiness

  • In Brazil, soybean productivity in the 2015/2016 crop is estimated at 3073 kg ha-1 (CONAB, 2016)

  • The treatments consisted of thirty soybean genotypes (25 late-cycle lines and five commercial cultivars: BRSMG Garantia, UFUS Impacta, UFUS Xavante UFUS Milionária and MSoy 8914)

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Summary

Introduction

Soybeans are one of the most important crops in the world and in Brazilian agribusiness. Demand for soybeans increases every year due to varied uses, which include animal feed, biodiesel, cooking oil, dietary staples and cosmetics. In Brazil, soybean productivity in the 2015/2016 crop is estimated at 3073 kg ha-1 (CONAB, 2016). Behavior of soybean cultivars can vary by location and year. These differences are usually influenced by interactions between genotype and environment (G x E). The expression of the productive potential of a soybean crop is dependent on genetic and environmental factors and the interactions between them. This complicates the selection and evaluation of the productive potential of genotypes. Extensive evaluations are needed to identify genotypes with superior productivity and production stability given a range of climates, soil, pests and diseases (POLIZEL et al, 2013)

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