Parametric and non-parametric analysis for determining the adaptability and stability of soybean genotypes in three sowing periods

• Autor(a) principal: Romanato, Fernanda Neves
• Data de Publicação: 2016
• Outros Autores: Hamawaki, Osvaldo Toshiyuki, Sousa, Larissa Barbosa de, Nogueira, Ana Paula Oliveira, Carvalho Neto, Dão Pedro de, Borges, Carla Cristina Rodrigues, Hamawaki, Cristiane Divina Lemes, Hamawaki, Raphael Lemes
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Bioscience journal (Online)
• Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/26078
• topic: Glycine max; Grain Yield; Genotype x Environment Interaction; Agricultural Sciences

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 Milionária 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.