Breeding common bean populations for traits using selection index

Lima, Dayane Cristina; Abreu, Ângela de Fátima Barbosa; Ferreira, Robério Anastácio; Ramalho, Magno Antônio Patto

doi:10.1590/0103-9016-2014-0130

Cited by 15 publications

(12 citation statements)

References 16 publications

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“…With the common bean crop, 480 progenies were evaluated, with 31 from each of the 16 single cross populations. It was seen that the proportion of variance among/within varied according to trait (Lima et al, 2015). For grain yield, the estimate of h 2 at the level of mean values was 96% among and 46% within populations in one environment and 86% among and 56% within populations in another.…”

Section: Resultsmentioning

confidence: 99%

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Selection Index with Parents, Populations, Progenies, and Generations Effects in Autogamous Plant Breeding

et al. 2016

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Autogamous plant breeders obtain numerous populations annually, and in the progeny selection process, the merit of the population is not considered. Thus, it would be important to have a progeny selection index that includes not only the effects of progenies in the different generations but also the effects of populations in all the generations and the data from parents and the F1 and F2 generations simultaneously. The main objective of this paper was to develop a selection method that encompasses the entire structure of an autogamous plant breeding program including all the data as of the parents, the F1 and F2 generations, and also both the progeny and population effects in the F3 to F6 generations. To do so, a selection index (called selection index with parents, populations, progenies, and generations [SIPPPG]), which includes all these effects, was proposed. Estimators were also derived for computation of the contribution (through indirect heritabilities and selective accuracies) of each source of information for predicting the additive genetic value of the lines to be obtained at the end of the selection process. The new approach was assessed through numerical evaluation and a total index was also obtained using field data derived from a breeding program with the common bean crop. This new index yields gains in selection efficiency ranging from 5 to 28% depending on the relative magnitude of the genetic variation among populations.

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Section: Resultsmentioning

confidence: 99%

“…The number of progenies evaluated per population as of the F 2 is variable in the literature. However, Lima et al (2015) used 31 common bean progenies, thus, the number of progenies used in the numerical evaluation in this study was more conservative.…”

Section: Numerical Evaluationmentioning

confidence: 99%

Selection Index with Parents, Populations, Progenies, and Generations Effects in Autogamous Plant Breeding

et al. 2016

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“…The progeny × environment interaction (crop seasons and/or generations) was expressive in Brazil. This has been a common finding in experiments with bean crops (Lima et al, 2012;Barili et al, 2015;Lima et al, 2015). The variance component associated with the progeny × environment interaction (V PE ) was higher than the estimate of variance between progenies (V P ) for grain yield (Table 2).…”

Section: Discussionmentioning

confidence: 55%

Procedures for identification of superior progenies in successive generations of evaluation in common bean

Lemos

Abreu

Ramalho

2020

Sci. agric. (Piracicaba, Braz.)

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When breeding the common bean in Brazil, the best progenies are chosen, normally, from solely the generation under analysis at the conclusion of the evaluation, without considering what occurred in the past. However, a number of recently published studies show that if an evaluation were to consider all relevant generations, the gain from selection could be higher, especially when an index that involves information from the population that gave rise to the progenies is used. Thus, the aim of this study was to compare three selection procedures in the evaluation of successive generations and to discuss the implications of the progeny × environment interaction in terms of success of selection. Cycle XV progenies from a bean recurrent selection program were used. The traits evaluated were grain yield, plant architecture and grain type. Analysis of variance was carried out and the variance components and heritabilities were estimated. The same analyses were made using mixed models. A selection index weighted by the effect of populations and progenies within populations (WSI) was also obtained. We estimated the correlations between the classification of the progenies using the three procedures and the coincidence of the best progenies evaluated in S 0:4 with the progenies in the previous generations. We found that the classification of the progenies by the BLUP's and WSI did not expressively differ from that obtained when using only the mean, even when a number of generations were considered in the selection. None of the procedures used effectively mitigated the effect of the progeny × environment interaction.

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“…Therefore, selection was performed on a simple Z-score index [24] of seed mass and yield per head, calculated by summing the Z-scores of each trait for each individual. The 50 selected individuals were dug from the field in fall 2005 and placed in a crossing block with two clonal replications, planted in a randomized complete block design.…”

Section: Cyclementioning

confidence: 99%

Development and Evolution of an Intermediate Wheatgrass Domestication Program

et al. 2018

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Ecological intensification of agriculture is a proposed strategy to enhance the production of food while expanding ecosystem services and reducing inputs. Perennial plants that are directly harvested for human food are a novel means of ecological intensification, by potentially providing unprecedented levels of ecological services, such as increased soil carbon and reduced nutrient leaching. However, existing herbaceous perennial plants produce low yields of harvestable seed. Therefore, we initiated a domestication program to improve the grain yield of the perennial intermediate wheatgrass (Thinopyrum intermedium [Host] Barkworth & D.R. Dewey). The breeding program has adapted to changing resources and to results from previous generations, with methods becoming more elaborate as the program has matured over six breeding cycles. Average predicted gains from selection accumulated over five cycles were 143, 181 and 60% respectively, for seed yield per head, percent naked seed and mass per seed. We did not detect negative correlations that would indicate simultaneously achieving increased grain yield and sustained perenniality would be particularly difficult. Heritability estimates based on genetic markers were the same or higher than those calculated from a pedigree, indicating that markers have potential to expedite breeding efforts.

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Breeding common bean populations for traits using selection index

Cited by 15 publications

References 16 publications

Selection Index with Parents, Populations, Progenies, and Generations Effects in Autogamous Plant Breeding

Selection Index with Parents, Populations, Progenies, and Generations Effects in Autogamous Plant Breeding

Procedures for identification of superior progenies in successive generations of evaluation in common bean

Development and Evolution of an Intermediate Wheatgrass Domestication Program

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