Selection of Superior Inbred Progenies toward the Common Bean Ideotype

Abstract

Core Ideas Partitioning of the progenies effect within populations has several advantages. FAI‐BLUP index capitalizes the progenies × growth seasons interaction. The selected inbreed progenies showed favorable genotypes for the target traits. Genetic breeding towards the common bean ideotype can accelerate the cultivar release. ABSTRACTThe goal of breeding programs is selection toward the ideal plant type. In this study, field experiments were performed to select common bean inbred progenies that maximize the probability of extracting superior lines. A total of 124 inbred progenies of three consecutive generations (F2:3, F2:4, and F2:5) were conducted in field experiments over three different environments (one generation in each environment). Seven different traits, related to disease severity, commercial acceptance grain, and yield, were evaluated by best linear unbiased prediction. This work underscored the importance of incorporating population information into the statistical model as a means of comparing progenies from different populations with higher efficacy, even when kinship information between populations is not available. Toward the common bean ideotype, 20 inbred progenies of greater potential were selected using the factor analysis and genotype‐ideotype distance (FAI‐BLUP) index. This index is based on the structural equation models by joining the factor analysis technique (exploratory factor analysis) with the ideotype design (confirmatory factor analysis). The predicted genetic gain was increased for all the traits in all generations. Selection strategies that capture the multitrait information capitalize the progenies × growth season interactions and are based on the ideotype, such as as the FAI‐BLUP index, have the potential for use in genetic breeding toward the common bean ideotype and can accelerate the release of more adapted cultivars.

Multi-trait selection of tomato introgression lines under drought-induced conditions at germination and seedling stages

“…Oliveira et al (2019) also used this index for the selection of photosensitive sorghum hybrids for energy cogeneration. Rocha et al (2019) used the FAI-BLUP index for the selection of superior inbred progenies of common beans (Phaseolus vulgaris L.).…”

“…Germination and seedling traits, however, are usually multicollinear. The FAI-BLUP, a multi-trait index based on factor analysis and ideotype design, proposed by Rocha, Machado, and Carneiro (2018), is used in this study; it combines factor analysis and genotype-ideotype design by using a multi-trait approach free from multicollinearity and has been successfully used for multi-trait selection of genotypes for several purposes (Oliveira et al, 2019;Rocha et al, 2019;Silva et al, 2018;Woyann et al, 2019).…”

Selection indexes based on genotypic values applied to Brazilian tropical wheat breeding

“…In addition, the GY increase (2.05%) was substantial. The FAI-BLUP index has been used extensively in the application of genotype selection in different crops such as soybean (Woyann et al, 2019), bean (Rocha et al, 2019), and sorghum biomass (Silva et al, 2018). It has the advantage to consider genotypic correlations free from the presence of multicollinearity and without the need to establish economic weights for traits.…”

Multiple-Traits Selection in White Guinea Yam (Dioscorea rotundata) Genotypes

“…The FAI-BLUP index technique that involves the estimation of multi-trait index, prediction of genetic effects with mixed models, and the estimation of genetic values using REML/BLUP [ 20 ] is a potentially good strategy for selection of elite genotypes. Moreover, Silva et al [ 21 ], Oliveira et al [ 22 ], Rocha et al [ 23 ] and Woyann et al [ 24 ] opined the efficiency of this selection index technique for plant breeding. The FAI-BLUP index technique has also been utilized to assess the strengths and weaknesses of genotypes.…”