Literature DB >> 12928779

Parental selection, number of breeding populations, and size of each population in inbred development.

R Bernardo1.   

Abstract

Some breeders select inbreds from many F(2) or backcross breeding populations, each with relatively few progenies. Other breeders select inbreds from only a few breeding populations, each with many progenies. My objectives were to: (1) determine the relative importance of parental selection, number of breeding populations, and size of each population, and (2) find optimum combinations between number and size of breeding populations. I assumed that a breeder has resources to test a total of 2,000 recombinant inbreds for a quantitative trait that was controlled by 100 additive loci and had a heritability of 0.20, 0.60, or 1.0. The parental inbreds had an inherent pedigree structure due to advanced cycle breeding. The parental inbreds were ranked according to their mean performance, and breeding populations were made among all parents, the top 25% of parents, and the top 10% of parents. I found that the issue of number versus size of breeding populations was only secondary compared with the ability to identify, prior to making the crosses, the breeding populations with the highest mean performance. For a given level of effectiveness of parental selection, the selection response was largest when the maximum number of breeding populations was used. The effect of the number of breeding populations was minor, however, when selection was practiced among the parents or when heritability was less than 1.0. The results suggested that, in practice, large selection responses could be obtained with a wide range of combinations between number and size of breeding populations.

Mesh:

Year:  2003        PMID: 12928779     DOI: 10.1007/s00122-003-1375-0

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


  7 in total

1.  Best linear unbiased prediction and optimum allocation of test resources in maize breeding with doubled haploids.

Authors:  Xuefei Mi; Thilo Wegenast; H Friedrich Utz; Baldev S Dhillon; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2011-03-09       Impact factor: 5.699

2.  Hybrid maize breeding with doubled haploids: V. Selection strategies for testcross performance with variable sizes of crosses and S(1) families.

Authors:  Thilo Wegenast; H Friedrich Utz; C Friedrich H Longin; Hans Peter Maurer; Baldev S Dhillon; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2009-10-29       Impact factor: 5.699

3.  Hybrid maize breeding with doubled haploids. IV. Number versus size of crosses and importance of parental selection in two-stage selection for testcross performance.

Authors:  Thilo Wegenast; C Friedrich H Longin; H Friedrich Utz; Albrecht E Melchinger; Hans Peter Maurer; Jochen C Reif
Journal:  Theor Appl Genet       Date:  2008-04-26       Impact factor: 5.699

4.  An experimental approach for estimating the genomic selection advantage for Fusarium head blight and Septoria tritici blotch in winter wheat.

Authors:  Cathérine Pauline Herter; Erhard Ebmeyer; Sonja Kollers; Viktor Korzun; Thomas Miedaner
Journal:  Theor Appl Genet       Date:  2019-05-29       Impact factor: 5.699

Review 5.  Genomics-Assisted Breeding for Quantitative Disease Resistances in Small-Grain Cereals and Maize.

Authors:  Thomas Miedaner; Ana Luisa Galiano-Carneiro Boeven; David Sewodor Gaikpa; Maria Belén Kistner; Cathérine Pauline Grote
Journal:  Int J Mol Sci       Date:  2020-12-19       Impact factor: 5.923

6.  Identification of superior parental lines for biparental crossing via genomic prediction.

Authors:  Ping-Yuan Chung; Chen-Tuo Liao
Journal:  PLoS One       Date:  2020-12-03       Impact factor: 3.240

7.  A SUPER powerful method for genome wide association study.

Authors:  Qishan Wang; Feng Tian; Yuchun Pan; Edward S Buckler; Zhiwu Zhang
Journal:  PLoS One       Date:  2014-09-23       Impact factor: 3.240

  7 in total

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