Strategies in identifying individuals in a segregant population of common bean and implications of genotype x environment interaction in the success of selection

Mendes, Marcela Pedroso; Ramalho, Magno Antônio Patto; Abreu, A. F. B.

doi:10.4238/2012.april.10.3

Cited by 10 publications

(5 citation statements)

References 7 publications

(11 reference statements)

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“…In spite of this, the results obtained by the two methods of analysis were similar (Table 4). In other studies, with eucalyptus (Reis et al, 2011) and common bean (Mendes et al, 2012), there were also small unbalanced results similar to those found in this study.…”

Section: Discussionsupporting

confidence: 90%

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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Section: Discussionsupporting

confidence: 90%

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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“…These differences in families over generations are probably due to generation x family interaction effects. Lima, Ramalho, and Abreu (2012) and Mendes et al (2012), also described the occurrence of this type of interaction.…”

Section: Resultsmentioning

confidence: 90%

<b>Strategies to select soybean segregating populations with the goal of improving agronomic traits

et al. 2018

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The success of breeding programs depends on selection procedures and on the breeding methods adopted for selecting segregating populations. The objective of this study was to evaluate the efficiency of the Bulk method with selection in the F3 generation (BulkF3) compared to that of Bulk method as well as determine the most effective selection strategy in terms of genetic gain. Twenty segregating populations were selected by two methods. The 60 best families of each method were selected according to their average agronomic performance. An augmented block design was used. The following agronomic traits were evaluated: insertion height of first pod, plant height at maturity, number of branches and of pods per plant, 100-seed weight, and grain yield. For comparison of the methods, genetic component estimates, genetic gain and predicted breeding values were calculated using mixed models (REML and BLUP). The results showed the families obtained with the BulkF3 method were more productive, showed suitable plant height, a larger number of branches and pods, and higher 100-seed weight. The BulkF3 method was found to be an effective selection strategy for soybean improvement.

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“…In addition, considerable emphasis was placed on obtaining information regarding genetic control of quantitative traits. Several studies were performed with the aim of identifying the most promising parental lines and/or segregating populations for selection (Mendes et al 2009, Mendes et al 2012. Studies were also performed to estimate the genetic variance components for several traits by using different estimation methods (Moreto et al 2007, Borel et al 2011).…”

Section: Resultsmentioning

confidence: 99%

A half century of a bean breeding program in the South and Alto Paranaíba regions of Minas Gerais

Lemos

Abreu

Souza

et al. 2020

Crop Breed. Appl. Biotechnol.

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The success of bean (Phaseolus vulgaris L.) crops in Brazil is due to the development of new cultivars. The aim of the present study was to critically analyze the fifty years of a bean breeding program at the Universidade Federal de Lavras (UFLA) and estimate the genetic progress (GP) achieved for grain yield. The estimated genetic progress for grain yield was 0.35% per year, which is associated with visible improvement in plant architecture, resistance to some pathogens, and better carioca bean grain quality. The program was found to be efficient, generating 119 theses and 43 dissertations during the period under study. In addition, hundreds of articles have been published, especially studies aimed at improving the efficiency of genetic breeding programs. Over the past few years, partnerships with other public institutions in performing Value for Cultivation and Use tests have resulted in 12 recommended cultivars.

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Strategies in identifying individuals in a segregant population of common bean and implications of genotype x environment interaction in the success of selection

Cited by 10 publications

References 7 publications

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

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

<b>Strategies to select soybean segregating populations with the goal of improving agronomic traits

A half century of a bean breeding program in the South and Alto Paranaíba regions of Minas Gerais

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