Literature DB >> 15107268

Optimizing purebred selection for crossbred performance using QTL with different degrees of dominance.

Jack C M Dekkers1, Reena Chakraborty.   

Abstract

A method was developed to optimize simultaneous selection for a quantitative trait with a known QTL within a male and a female line to maximize crossbred performance from a two-way cross. Strategies to maximize cumulative discounted response in crossbred performance over ten generations were derived by optimizing weights in an index of a QTL and phenotype. Strategies were compared to selection on purebred phenotype. Extra responses were limited for QTL with additive and partial dominance effects, but substantial for QTL with over-dominance, for which optimal QTL selection resulted in differential selection in male and female lines to increase the frequency of heterozygotes and polygenic responses. For over-dominant QTL, maximization of crossbred performance one generation at a time resulted in similar responses as optimization across all generations and simultaneous optimal selection in a male and female line resulted in greater response than optimal selection within a single line without crossbreeding. Results show that strategic use of information on over-dominant QTL can enhance crossbred performance without crossbred testing.

Entities:  

Mesh:

Year:  2004        PMID: 15107268      PMCID: PMC2697203          DOI: 10.1186/1297-9686-36-3-297

Source DB:  PubMed          Journal:  Genet Sel Evol        ISSN: 0999-193X            Impact factor:   4.297


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  11 in total

1.  Including crossbred pigs in the genomic relationship matrix through utilization of both linkage disequilibrium and linkage analysis.

Authors:  M W Iversen; Ø Nordbø; E Gjerlaug-Enger; E Grindflek; M S Lopes; T H E Meuwissen
Journal:  J Anim Sci       Date:  2017-12       Impact factor: 3.159

2.  Genomic selection of purebreds for crossbred performance.

Authors:  Noelia Ibánez-Escriche; Rohan L Fernando; Ali Toosi; Jack C M Dekkers
Journal:  Genet Sel Evol       Date:  2009-01-15       Impact factor: 4.297

3.  Genomic selection of purebred animals for crossbred performance in the presence of dominant gene action.

Authors:  Jian Zeng; Ali Toosi; Rohan L Fernando; Jack C M Dekkers; Dorian J Garrick
Journal:  Genet Sel Evol       Date:  2013-04-26       Impact factor: 4.297

4.  Maximizing crossbred performance through purebred genomic selection.

Authors:  Hadi Esfandyari; Anders C Sørensen; Piter Bijma
Journal:  Genet Sel Evol       Date:  2015-03-14       Impact factor: 4.297

5.  A crossbred reference population can improve the response to genomic selection for crossbred performance.

Authors:  Hadi Esfandyari; Anders Christian Sørensen; Piter Bijma
Journal:  Genet Sel Evol       Date:  2015-09-29       Impact factor: 4.297

6.  Genomic selection needs to be carefully assessed to meet specific requirements in livestock breeding programs.

Authors:  Elisabeth Jonas; Dirk-Jan de Koning
Journal:  Front Genet       Date:  2015-02-20       Impact factor: 4.599

7.  Characterization and management of long runs of homozygosity in parental nucleus lines and their associated crossbred progeny.

Authors:  Jeremy T Howard; Francesco Tiezzi; Yijian Huang; Kent A Gray; Christian Maltecca
Journal:  Genet Sel Evol       Date:  2016-11-24       Impact factor: 4.297

8.  Balanced selection on purebred and crossbred performance increases gain in crossbreds.

Authors:  Hadi Esfandyari; Peer Berg; Anders Christian Sørensen
Journal:  Genet Sel Evol       Date:  2018-03-22       Impact factor: 4.297

9.  Detecting parent of origin and dominant QTL in a two-generation commercial poultry pedigree using variance component methodology.

Authors:  Suzanne J Rowe; Ricardo Pong-Wong; Christopher S Haley; Sara A Knott; Dirk-Jan De Koning
Journal:  Genet Sel Evol       Date:  2009-01-05       Impact factor: 4.297

10.  A whole genome association study to detect additive and dominant single nucleotide polymorphisms for growth and carcass traits in Korean native cattle, Hanwoo.

Authors:  Yi Li; Yuxuan Gao; You-Sam Kim; Asif Iqbal; Jong-Joo Kim
Journal:  Asian-Australas J Anim Sci       Date:  2016-05-22       Impact factor: 2.509

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