Literature DB >> 21841086

Genomic selection for maternal traits in pigs.

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

Abstract

The aim of this study was to compare alternative designs for implementation of genomic selection to improve maternal traits in pigs, with a conventional breeding scheme and a progeny testing scheme. The comparison was done through stochastic simulation of a pig population. It was assumed that selection was performed based on a trait that could be measured on females after the first litter, with a heritability of 0.1. Genomic selection increased genetic gain and reduced the rate of inbreeding, compared with conventional selection without progeny testing. Progeny testing could also increase genetic gain and decrease the rate of inbreeding, but because of the increased generation interval, the increase in annual genetic gain was only 7%. When genomic selection was applied, genetic gain was increased by 23 to 91%, depending on which and how many animals were genotyped. Genotyping dams in addition to the male selection candidates gave increased accuracy of the genomic breeding values, increased genetic gain, and decreased rate of inbreeding. To genotype 2 or 3 males from each litter, in order to perform within-litter selection, increased genetic gain 8 to 12%, compared with schemes with the same number of genotyped females but only 1 male candidate per litter. Comparing schemes with the same total number of genotyped animals revealed that genotyping more females caused a greater increase in genetic gain than genotyping more males because greater accuracy of selection was more advantageous than increasing the number of male selection candidates. When more than 1 male per litter was genotyped, and thereby included as selection candidates, rate of inbreeding increased because of coselection of full sibs. The conclusion is that genomic selection can increase genetic gain for traits that are measured on females, which includes several traits with economic importance in maternal pig breeds. Genotyping females is essential to obtain a high accuracy of selection.

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Year:  2011        PMID: 21841086     DOI: 10.2527/jas.2011-4044

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


  13 in total

1.  The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased prediction.

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.  Optimizing the Construction and Update Strategies for the Genomic Selection of Pig Reference and Candidate Populations in China.

Authors:  Xia Wei; Tian Zhang; Ligang Wang; Longchao Zhang; Xinhua Hou; Hua Yan; Lixian Wang
Journal:  Front Genet       Date:  2022-06-08       Impact factor: 4.772

3.  Economic aspects of implementing genomic evaluations in a pig sire line breeding scheme.

Authors:  Thierry Tribout; Catherine Larzul; Florence Phocas
Journal:  Genet Sel Evol       Date:  2013-10-15       Impact factor: 4.297

4.  Evaluation of genome based estimated breeding values for meat quality in a berkshire population using high density single nucleotide polymorphism chips.

Authors:  S Baby; K-E Hyeong; Y-M Lee; J-H Jung; D-Y Oh; K-C Nam; T H Kim; H-K Lee; J-J Kim
Journal:  Asian-Australas J Anim Sci       Date:  2014-11       Impact factor: 2.509

5.  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

6.  Application of Genomic Data for Reliability Improvement of Pig Breeding Value Estimates.

Authors:  Ekaterina Melnikova; Artem Kabanov; Sergey Nikitin; Maria Somova; Sergey Kharitonov; Petr Otradnov; Olga Kostyunina; Tatiana Karpushkina; Elena Martynova; Aleksander Sermyagin; Natalia Zinovieva
Journal:  Animals (Basel)       Date:  2021-05-27       Impact factor: 2.752

7.  Genomic selection using low density marker panels with application to a sire line in pigs.

Authors:  Robin Wellmann; Siegfried Preuß; Ernst Tholen; Jörg Heinkel; Klaus Wimmers; Jörn Bennewitz
Journal:  Genet Sel Evol       Date:  2013-07-29       Impact factor: 4.297

8.  Total cost estimation for implementing genome-enabled selection in a multi-level swine production system.

Authors:  Caitlyn E Abell; Jack C M Dekkers; Max F Rothschild; John W Mabry; Kenneth J Stalder
Journal:  Genet Sel Evol       Date:  2014-05-19       Impact factor: 4.297

9.  Accuracy of genomic prediction for growth and carcass traits in Chinese triple-yellow chickens.

Authors:  Tianfei Liu; Hao Qu; Chenglong Luo; Dingming Shu; Jie Wang; Mogens Sandø Lund; Guosheng Su
Journal:  BMC Genet       Date:  2014-10-15       Impact factor: 2.797

10.  Genetic correlations between first parity and accumulated second to last parity reproduction traits as selection aids to improve sow lifetime productivity.

Authors:  Udomsak Noppibool; Mauricio A Elzo; Skorn Koonawootrittriron; Thanathip Suwanasopee
Journal:  Asian-Australas J Anim Sci       Date:  2016-06-06       Impact factor: 2.509

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