Estudo da estabilidade fenotípica de feijoeiro com grãos especiais

Abstract

Obejtivou-se no presente trabalho avaliar os parâmetros de adaptabilidade e de estabilidade de linhagens e cultivares de feijoeiro, com grãos especiais, por meio do uso do genótipo suplementar (GS) em análise AMMI (Additive Main Effect and Multiplicative Interaction). Foram utilizados dados de produtividade de grãos de 14 genótipos de feijoeiro pertencentes ao ensaio de Valor de Cultivo e Uso (VCU), para o estado de São Paulo, referente às safras de 2005/2006/2007, semeados em 24 ambientes no delineamento de blocos casualizados, com três repetições. Pôde-se observar diferenças no comportamento dos genótipos em função do estímulo do ambiente, uma vez que a interação genótipo x ambiente foi significativa. Para tanto os genótipos Gen 99 TGR 34-16 (época das águas), Jalo Precoce e IAC - Centauro (época da seca), Gen 99 TG 28-68 e IAC-Centauro (época de inverno) e IAC-Boreal (conjunto das três épocas) apresentaram-se estáveis, pois seus valores de escores foram próximos de zero. Em relação ao conjunto das três épocas de semeadura não foi detectado nenhum genótipo próximo ao GS, no entanto os genótipos IAPAR-31 e IAC-Centauro (época da seca), Gen 99 TG 28-68 e IAC-Centauro (época de inverno) aproximaram-se desse ponto tendo como característica o fato de interagirem com os ambientes de maneira mais favorável possível. Sendo assim, o método AMMI combinado com o uso do GS auxilia na identificação de genótipos superiores.

Agronomic performance and stability of andean common bean lines with white grains in Brazil

“…The joint analysis detected significant differences (p<0.01) for environments and lines, which confirm the variation between the studied environments and genetic variability between lines (Table 2), as also reported by Gonçalves et al (2010). For the other traits, significant differences were also verified between lines.…”

“…Historically, breeding programs in Brazil have given low priority to Andean beans, including the white type, and as a result, few cultivars are available, which leads to low production and high import of this type of grain in Brazil. Currently, some breeding programs have focused on this type of grain, seeking to obtain and identify lines showing better adaptation to the soil and climatic conditions of the country (Gonçalves et al, 2010).…”

“…Among the few studies of this nature with Andean common bean (Gonçalves et al, 2010), none was performed with white grains. In this context and considering the above, the present study aimed to evaluate the importance of the genotype by environment interaction for Andean common bean lines with white grains in Brazil, identifying lines with high adaptability, stability and agronomic performance, aiming to meet domestic demand and to expand the Brazilian participation in the foreign market of this grain.…”

Phenotypic stability in cassava estimated by the AMMI analysis with supplementary genotypes

“…Comparison of AMMI analysis applied to several different cultures indicates that this analysis typically explains 60% of the total variation by the SSGE interaction (Carbonell et al 2004, Kvitschal et al 2007, Gonçalves et al 2010, Barros et al 2013, Costa et al 2013, Mattos et al 2013, Oliveira et al 2014). …”

“…Therefore, the study on both adaptability and stability of genotypes is desirable in order to identify those with the most predictable responses to diverse environments. Among the several methodologies to analyze adaptability and stability (Eberhart and Russel 1966, Lin and Binns 1988, Gauch and Zobel 1996, Toler and Burrows 1998, the multivariate AMMI or Additive Main Effects and Multiplicative Interaction Analysis is the most widely used in Brazil (Carbonell et al 2004, Pacheco et al 2005, Kvitschal et al 2007, Kvitschal et al 2009, Gonçalves et al 2010, Oliveira et al 2010, Mattos et al 2013, Barros et al 2013, Oliveira et al 2014. This method combines analysis of variance and principal components to adjust the main effects (genotypes and environments) and the effects of G×E interactions Vencovsky 2001, Zobel et al 1988).…”