Soybean stability and adaptability in Southern and Central Brazil

Abstract

The use of effective methodologies for the identification of more stable lines with wide adaptation is an indispensable tool in genetic improvement. Diverse methods of estimation are presently available, each one with specific features. This study evaluated the adaptability and stability of 21 soybean lines/cultivars grown in 78 environments in the southern and central regions of Brazil, between 2001 and2003, using four methodologies. In the stability analyses, the four methods led to the same results. In the analyses of adaptability, the methods Eberhart and Russel (1966) and of Cruz et al. (1989) presented basically the same results, though the latter presented additional information regarding the adaptability of lines to favorable and unfavorable environments. The analysis by the AMMI method led to the establishment of the models AMMI3 (Central Region) and AMMI4 (southern region), making the analysis of adaptability by biplots very complex. Six stable lines were identified in the central region and two in the South.

Biometric analysis of protein and oil contents of soybean genotypes in different environments

“…The adaptability and stability of soybean genotypes for grain yield have been profusely evaluated (Oliveira et al, 2006;Cucolotto et al, 2007;Pelúzio et al, 2008;Kamaluddin & Ahmad, 2012). However, few of these analyses were performed for protein and oil contents.…”

Adaptability and stability of soybean in terms of oil and protein

“…For example Oliveira et al (2006) evaluated the adaptability and stability of 21 soybean lines/cultivars conducted in 78 environments in southern and central Brazil, between 2001and 2003. Cucolotto et al (2007 assessed the adaptability and stability of 30 soybean cultivars in the growing seasons 1999/2000, 2000/2001 and 2001/ 2002 in 30 environments in Paraná.…”

Estimating Elephant-Grass Adaptability and Stability for Energy-Biomass Production by Regression Models

“…The analyses of stability and adaptability based on the methods of Eberhart and Russel (1996) and Cruz et al (1989) present more-simplified applications. They allow for statistical tests to more accurately identify the most stable genotypes and the group of environments to which they are best adapted (Oliveira et al, 2006).…”