Literature DB >> 23224382

Relative efficiency of the genotypic value and combining ability effects on reciprocal recurrent selection.

José Marcelo Soriano Viana1, Rodrigo Oliveira Delima, Gabriel Borges Mundim, Aurinelza Batista Teixeira Condé, Aloisio Alcantara Vilarinho.   

Abstract

Reciprocal recurrent selection (RRS) has been successfully applied to maize breeding for more than 60 years. Our objective was to assess the relative efficiency of the genotypic value and the effects of general and specific combining abilities (GCA and SCA) on selection. The GCA effect reflects the number of favorable genes in the parent. The SCA effect primarily reflects the differences in the gene frequencies between the parents. We simulated three traits, three classes of populations, and 10 cycles of half- and full-sib RRS. The RRS is a highly efficient process for intra- and interpopulation breeding, regardless of the trait or the level of divergence among the populations. The RRS increases the heterosis of the interpopulation cross when there is dominance, and it decreases the inbreeding depression in the populations and the genetic variability in the populations and in the hybrid. When there is not dominance and the populations are not divergent, the RRS also determines population differentiation. The half-sib RRS, which is equivalent to selection based on the GCA effect, is more efficient than the full-sib RRS based on the genotypic value, regardless of the trait or the level of improvement of the populations. The full-sib RRS based on the SCA effect is not efficient for intra- and interpopulation breeding.

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Year:  2012        PMID: 23224382     DOI: 10.1007/s00122-012-2023-3

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  3 in total

1.  Comparison of full and half-sib reciprocal recurrent selection.

Authors:  L P Jones; W A Compton; C O Gardner
Journal:  Theor Appl Genet       Date:  1971-01       Impact factor: 5.699

2.  Comparison of two methods of reciprocal recurrent selection in maize (Zea mays L.).

Authors:  B Ordas; A Butron; A Alvarez; P Revilla; R A Malvar
Journal:  Theor Appl Genet       Date:  2012-01-04       Impact factor: 5.699

3.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

  3 in total
  3 in total

1.  Bayesian inference of mixed models in quantitative genetics of crop species.

Authors:  Fabyano Fonseca E Silva; José Marcelo Soriano Viana; Vinícius Ribeiro Faria; Marcos Deon Vilela de Resende
Journal:  Theor Appl Genet       Date:  2013-04-20       Impact factor: 5.699

2.  The phenotypic predisposition of the parent in F1 hybrid is correlated with transcriptome preference of the positive general combining ability parent.

Authors:  Gaoyuan Song; Zhibin Guo; Zhenwei Liu; Xuefeng Qu; Daiming Jiang; Wei Wang; Yingguo Zhu; Daichang Yang
Journal:  BMC Genomics       Date:  2014-04-22       Impact factor: 3.969

3.  Phenotypic and molecular characterization of a set of tropical maize inbred lines from a public breeding program in Brazil.

Authors:  Sirlene Viana de Faria; Leandro Tonello Zuffo; Wemerson Mendonça Rezende; Diego Gonçalves Caixeta; Hélcio Duarte Pereira; Camila Ferreira Azevedo; Rodrigo Oliveira DeLima
Journal:  BMC Genomics       Date:  2022-01-14       Impact factor: 3.969

  3 in total

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