Literature DB >> 23658351

Genomic selection for two traits in a maternal pig breeding scheme.

M Lillehammer1, T H E Meuwissen, A K Sonesson.   

Abstract

The objective of this study was to compare different implementations of genomic selection to a conventional maternal pig breeding scheme, when selection was based partly on production traits and partly on maternal traits. A nucleus pig breeding population with size and structure similar to Norwegian Landrace was simulated where equal weight was used for maternal and production traits. To genotype the boars at the boar station and base the final selection of boars on genomic breeding values increased total genetic gain by 13% and reduced the rate of inbreeding by 40%, without significantly affecting the relative contribution of each trait to total genetic gain. To increase the size of the reference population and thereby accuracy of selection, female sibs in the selected litters can also be genotyped to increase genetic gain for maternal traits more than for production traits, thereby resulting in an increased relative contribution of maternal traits to total genetic gain. Genotyping 2,400 females each year increased the relative contribution of maternal traits to total genetic gain from 16 to 32%. Performing preselection of males by allowing genotyping of 2 males per litter and allowing for selection across and within litters before the boar test increased genetic gain by 5 to 11%, compared with genotyping the boars at the boar station, without significant effects on the relative contribution of each trait to total genetic gain. Genotyping more animals consequently increased genetic gain. Genotyping females to build a larger reference base for maternal traits gave similar genetic gain as genotyping the same amount of additional males but with a lower rate of inbreeding and a greater contribution of maternal traits to total genetic gain. In conclusion, genotyping females should be prioritized before genotyping more males than the tested boars if the breeding goal is to increase maternal traits specifically over production traits or genomic selection is used as a tool to reduce the rate of inbreeding.

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Year:  2013        PMID: 23658351     DOI: 10.2527/jas.2012-5113

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  7 in total

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Authors:  Jeremy T Howard; Tom A Rathje; Caitlyn E Bruns; Danielle F Wilson-Wells; Stephen D Kachman; Matthew L Spangler
Journal:  J Anim Sci       Date:  2018-11-21       Impact factor: 3.159

2.  Genomic selection for adjacent genetic markers of yorkshire pigs using regularized regression approaches.

Authors:  Minsu Park; Tae-Hun Kim; Eun-Seok Cho; Heebal Kim; Hee-Seok Oh
Journal:  Asian-Australas J Anim Sci       Date:  2014-12       Impact factor: 2.509

Review 3.  Methods to address poultry robustness and welfare issues through breeding and associated ethical considerations.

Authors:  William M Muir; Heng-Wei Cheng; Candace Croney
Journal:  Front Genet       Date:  2014-11-26       Impact factor: 4.599

4.  Extent of linkage disequilibrium and effective population size of the Landrace population in Korea.

Authors:  Donghyun Shin; Sung-Hoon Kim; Joowan Park; Hak-Kyo Lee; Ki-Duk Song
Journal:  Asian-Australas J Anim Sci       Date:  2018-03-13       Impact factor: 2.509

5.  Extent of linkage disequilibrium and effective population size of Korean Yorkshire swine.

Authors:  Donghyun Shin; Kyeong-Hye Won; Sung-Hoon Kim; Yong-Min Kim
Journal:  Asian-Australas J Anim Sci       Date:  2018-07-26       Impact factor: 2.509

6.  Assessment the effect of genomic selection and detection of selective signature in broilers.

Authors:  Xiaodong Tan; Ranran Liu; Wei Li; Maiqing Zheng; Dan Zhu; Dawei Liu; Furong Feng; Qinghe Li; Li Liu; Jie Wen; Guiping Zhao
Journal:  Poult Sci       Date:  2022-03-12       Impact factor: 4.014

7.  Optimization of Swine Breeding Programs Using Genomic Selection with ZPLAN.

Authors:  B M Lopez; H S Kang; T H Kim; V S Viterbo; H S Kim; C S Na; K S Seo
Journal:  Asian-Australas J Anim Sci       Date:  2016-01-18       Impact factor: 2.509

  7 in total

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