Capacidade de combinação por meio de análise multivariada para caracteres fenotípicos em maracujazeiro-doce

Abstract

Resumo -O objetivo deste trabalho foi estimar capacidades de combinação por meio de análise multivariada de genótipos de maracujazeiro-doce, de modo a orientar as melhores combinações para cruzamentos. Foram cruzados 12 genótipos, 6 genitores femininos e 6 genitores masculinos, na forma de dialelo parcial, e as populações segregantes foram conduzidas em blocos casualizados com quatro repetições sem a inclusão dos genitores. Os caracteres aferidos foram: peso do fruto, peso da polpa, espessura da casca, teor de sólidos solúveis totais e rendimento de polpa. Os dados obtidos foram submetidos à análise de variância, análise dialélica parcial e análise de variância multivariada dialélica. Posteriormente, foi utilizado o índice de seleção da distância ao ideótipo para seleção dos genitores. Os melhores genitores femininos foram M4 e M2 e os masculinos foram P5 e P6 e as melhores combinações de genitores são M4 x P6 e M2 x P2. Os resultados obtidos evidenciaram que a utilização conjunta da análise dialélica e análise multivariada pode ser útil a programas de melhoramento genético, em especial na orientação das melhores combinações para cruzamentos, quando o objetivo é obter ganho genético em vários caracteres simultaneamente.Termos para indexação: Passiflora alata, análise dialélica multivariada, ideótipo, seleção de genitores, melhoramento genético. Combined ability of fruit phenotypic traits in sweet passion fruit by multivariate analysisAbstract -The objective of this work was to estimate the combined ability of sweet passionfruit by multivariate analysis to support breeding. Twelve genotypes, six female parents and six male parents, in a partial diallel were utilized to develop 36 F 1 progenies, stablished in the field in randomized blocks with four replicates, without the parents. Weight of the fruit, weight of the pulp, epicarp thickness, total soluble solids content, and pulp production were evaluated. Data were submitted to analysis of variance, partial diallel analysis, and multivariate diallel variance analysis. Afterwards, the selection index of distance to the ideotype for selection of the parents was utilized. The better female and male parental were M4 and M2 and P5 and P6, respectively, and the better crosses were M4 x P6 and M2 x P2. The results provided evidence that the utilization of diallel and multivariate analysis at the same time can be useful to the breeding programs, in particular by guiding the selection of the best combinations for future crosses to further increase the genetic gain in various traits simultaneously.

Improving yield and fruit quality traits in sweet passion fruit: evidence for genotype by environment interaction and cross-compatibility in selected genotypes

“…However, in our study, YP values were even higher using the MSI, reaching 29.6% (A), 33.3% (B) and 26.6% (C). These YP gains are high, and similar results close to the 30% proposed as ideal for the species have been obtained in other breeding populations (Jung et al, 2007a(Jung et al, , 2007bMartins et al, 2003).…”

Identifying superior spring wheat genotypes through diallel approaches

“…Hence, an alternative method is the use of multivariate diallel analysis, which allows combining multiple sources of information obtained from experimental plots. Further, it facilitates selection and permits the discrimination of the most promising populations (Jung et al, 2007;Benin et al, 2009). …”

Estimating combining ability in popcorn lines using multivariate analysis

“…Among the methods that help breeders choose parents, diallel crosses have been widely used by plant breeders to obtain useful information, such as to estimate the general and specific combining ability from a set of parents; to classify heterotic groups; to estimate heterosis, and to develop hybrids (Melani and Carena, 2005;Cai et al, 2012). However, most data from diallel crosses experiments is analyzed by univariate techniques and, in general, traits evaluated individually may not be appropriate because correlations between different traits are not considered in that type of approach (Jung et al, 2007;Benin et al, 2009).…”

“…Despite of the advantage in using the multivariate approach, few studies with diallel design have been published using this analytical technique (Ledo et al, 2003;de la Vega and Chapman, 2006;Jung et al, 2007;Benin et al, 2009;Nascimento et al, 2010). For popcorn, this strategy may be an important choice, for instance, because two of the main traits of economic interest, popping expansion and yield, are negatively correlated (Dofing et al, 1991).…”