Literature DB >> 24232716

Optimization of recurrent selection on the phenotypic value of doubled haploid lines.

A Gallais1.   

Abstract

Three methods of recurrent selection using doubled haploids (DH) are compared with the same resources: individual line selection (with one DH line per plant), selection between and within families, and selection index of family and line within family values. It seems that for low heritabilities at the individual level, the selection index method is the most efficient method, followed by the selection between and within families. Because of the difficulty in optimizing selection intensities, the selection between and within families can be less efficient than individual line selection. For very low heritabilities, it will be better to use selection index with a relatively low number of lines per haploidized plant, to minimize the rate of decrease of the effective population size. For a large range of situations, recurrent selection with only one DH line per plant seems one of the more efficient and the simpler methods.

Entities:  

Year:  1989        PMID: 24232716     DOI: 10.1007/BF00274270

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


  4 in total

1.  Doubled haploid versus S1 family recurrent selection for testcross performance in a maize population.

Authors:  J Bordes; G Charmet; R Dumas de Vaulx; M Pollacsek; M Beckert; A Gallais
Journal:  Theor Appl Genet       Date:  2006-01-24       Impact factor: 5.699

2.  A general approach for the study of a population of testcross progenies and consequences for recurrent selection.

Authors:  A Gallais
Journal:  Theor Appl Genet       Date:  1991-04       Impact factor: 5.699

3.  The effect of gametic-phase disequilibrium on the prediction of response to recurrent selection in plants.

Authors:  I J Mackay; J P Gibson
Journal:  Theor Appl Genet       Date:  1993-10       Impact factor: 5.699

4.  Mapping of QTL for Grain Yield Components Based on a DH Population in Maize.

Authors:  Jiwei Yang; Zonghua Liu; Qiong Chen; Yanzhi Qu; Jihua Tang; Thomas Lübberstedt; Haochuan Li
Journal:  Sci Rep       Date:  2020-04-27       Impact factor: 4.379

  4 in total

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