Adaptabilidade e estabilidade de genótipos precoces de cana‑de‑açúcar no Rio Grande do Sul

Abstract

Resumo -O objetivo deste trabalho foi avaliar a adaptabilidade e estabilidade de genótipos de cana-de-açúcar de maturação precoce, quanto à produtividade de colmos e de Brix, no Estado do Rio Grande do Sul. Quinze genótipos de maturação precoce foram avaliados nas safras 2009/2010 e 2010/2011, por meio da análise de efeitos principais aditivos e interações multiplicativas (AMMI). As interações genótipo x ambiente foram de alta significância e evidenciaram a alteração de posição na classificação dos genótipos de um ambiente para outro. Novos genótipos superaram, em produtividade e estabilidade, o genótipo-padrão precoce RB855156, embora este ainda se destaque pela produtividade, estabilidade moderada e ampla adaptabilidade. O genótipo RB966928 destacou-se pela riqueza e produtividade de Brix, estabilidade moderada e ampla adaptabilidade. Salto do Jacuí, RS, é o ambiente mais indicado para testes preliminares de seleção de genótipos.Termos para indexação: Saccharum, AMMI, interação genótipo x ambiente, melhoramento vegetal. Adaptability and stability of early sugarcane genotypes in Rio Grande do Sul, BrazilAbstract -The objective of this work was to evaluate the adaptability and stability of early maturation sugarcane genotypes, as to yield of stalk and Brix, in Rio Grande do Sul state, Brazil. Fifteen early-maturing genotypes were evaluated in the 2009/2010 and 2010/2011 seasons, through the additive main effects and multiplicative interaction (AMMI) analysis. Genotype x environment interactions were highly significant and evidenced changes in the genotype ranking according to the environment. New genotypes exceeded the standard early genotype RB855156 for productivity and stability, although it still stands out for its high productivity, moderate stability and wide adaptability. Genotype RB966928 stood out for its richness and yield of Brix, moderate stability and wide adaptability. Salto do Jacuí, RS, Brazil, is the most suitable site for preliminary tests of genotype selection.

Evaluation of sugarcane genotypes and production environments in Paraná by GGE biplot and AMMI analysis

“…This value was higher than that reported by Guerra et al (2009) and by Verissimo et al (2012), who applied AMMI analysis to sugarcane, and similar to results of Chavanne et al (2007) and Silva et al (2012), who used GGE Biplot analysis for sugarcane and carrots, respectively.…”

“…Guerra et al (2009) and Verissimo et al (2012) identified genotypes and environments with same-sign PCI scores, with positive specific interactions for sugarcane. The classification of genotypes and environments established by Oliveira et al (2003) and Silva et al (2012) for soybean and carrot, respectively, was the same.…”

Performance Productive of Early Sugarcane Genotypes in Rio Grande Do Sul State, Brazil

“…In Rio Grande do Sul State, Verissimo et al (2012) has obtained similar results, verifying 10 genotypes with stalk productivity greater than the control, with an average gain of 5.2% in productivity, but only three genotypes showed productive stability.…”

“…Studies dealing with genotype environment interaction have been object of several researches in sugarcane breeding programs (BASTOS et al, 2007, GUERRA et al, 2009, VERISSIMO et al, 2012. The interaction evaluation through Additive Main Effects and Multiplicative Interactions analysis (AMMI) is being applied with success in: corn (MIRANDA et al, 2009), soy (POLIZEL et al, 2013, YOKOMIZO et al, 2013, and recently sugarcane (GUERRA et al, 2009, VERISSIMO et al, 2012, FERNANDES JÚNIOR et al, 2013, MATTOS et al, 2013, among others.…”

“…The interaction evaluation through Additive Main Effects and Multiplicative Interactions analysis (AMMI) is being applied with success in: corn (MIRANDA et al, 2009), soy (POLIZEL et al, 2013, YOKOMIZO et al, 2013, and recently sugarcane (GUERRA et al, 2009, VERISSIMO et al, 2012, FERNANDES JÚNIOR et al, 2013, MATTOS et al, 2013, among others. The use of this method could help to identify highly productive and adapted genotypes, as well as regionalized indication and selection of test sites, in agronomical zoning (GAUCH JUNIOR;ZOBEL, 1996).…”