Literature DB >> 22585791

Genome-wide association study of swine farrowing traits. Part I: genetic and genomic parameter estimates.

J F Schneider1, L A Rempel, G A Rohrer.   

Abstract

The primary objective of this study was to determine genetic and genomic parameters among swine (Sus scrofa) farrowing traits. Genetic parameters were obtained using MTDFREML. Genomic parameters were obtained using GENSEL. Genetic and residual variances obtained from MTDFREML were used as priors for the Bayes C analysis of GENSEL. Farrowing traits included total number born (TNB), number born alive (NBA), number born dead (NBD), number stillborn (NSB), number of mummies (MUM), litter birth weight (LBW), and average piglet birth weight (ABW). Statistically significant heritabilities included TNB (0.09, P = 0.048), NBA (0.09, P = 0.041), LBW (0.20, P = 0.002), and ABW (0.26, P < 0.0001). Statistically significant genetic correlations included TNB-NBA (0.97, P < 0.0001), TNB-LBW (0.74, P < 0.0001), NBA-LBW (0.56, P < 0.0017), NSB-LBW (0.87, P < 0.0395), and LBW-ABW (0.63, P < 0.0002). Genetic parameters are similar to others found in the literature. The proportion of phenotypic variance explained by genomic markers (GP) generated by GENSEL was TNB (0.04), NBA (0.06), NBD (0.00), NSB (0.01), MUM (0.00), LBW (0.11), and ABW (0.31). Limited information is available in the literature about genomic parameters. Only the GP estimate for NSB is significantly lower than what has been published. The GP estimate for ABW is greater than the estimate for heritability found in this study. Other traits with significant heritability had GP estimates half the value of heritability. This research indicates that significant genetic markers will be found for TNB, NBA, LBW, and ABW that will have either immediate use in industry or provide a roadmap to further research with fine mapping or sequencing of areas of significance. Furthermore, these results indicate that genomic selection implemented at an early age would have similar annual progress as traditional selection, and could be incorporated along with traditional selection procedures to improve genetic progress of litter traits.

Entities:  

Mesh:

Year:  2012        PMID: 22585791     DOI: 10.2527/jas.2011-4729

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


  10 in total

1.  Bayesian GWAS and network analysis revealed new candidate genes for number of teats in pigs.

Authors:  L L Verardo; F F Silva; L Varona; M D V Resende; J W M Bastiaansen; P S Lopes; S E F Guimarães
Journal:  J Appl Genet       Date:  2014-08-08       Impact factor: 3.240

2.  Genome-wide association study of body weight in Australian Merino sheep reveals an orthologous region on OAR6 to human and bovine genomic regions affecting height and weight.

Authors:  Hawlader A Al-Mamun; Paul Kwan; Samuel A Clark; Mohammad H Ferdosi; Ross Tellam; Cedric Gondro
Journal:  Genet Sel Evol       Date:  2015-08-14       Impact factor: 4.297

3.  Genome-wide association and identification of candidate genes for age at puberty in swine.

Authors:  Dan J Nonneman; James F Schneider; Clay A Lents; Ralph T Wiedmann; Jeffrey L Vallet; Gary A Rohrer
Journal:  BMC Genet       Date:  2016-02-29       Impact factor: 2.797

4.  Variance components estimation for farrowing traits of three purebred pigs in Korea.

Authors:  Bryan Irvine Lopez; Tae Hun Kim; Milton Tinashe Makumbe; Chol Won Song; Kang Seok Seo
Journal:  Asian-Australas J Anim Sci       Date:  2017-03-21       Impact factor: 2.509

5.  Genetic analysis of teat number in pigs reveals some developmental pathways independent of vertebra number and several loci which only affect a specific side.

Authors:  Gary A Rohrer; Dan J Nonneman
Journal:  Genet Sel Evol       Date:  2017-01-04       Impact factor: 4.297

6.  Genome-wide association study reveals novel loci for litter size and its variability in a Large White pig population.

Authors:  E Sell-Kubiak; N Duijvesteijn; M S Lopes; L L G Janss; E F Knol; P Bijma; H A Mulder
Journal:  BMC Genomics       Date:  2015-12-09       Impact factor: 3.969

7.  Revealing new candidate genes for reproductive traits in pigs: combining Bayesian GWAS and functional pathways.

Authors:  Lucas L Verardo; Fabyano F Silva; Marcos S Lopes; Ole Madsen; John W M Bastiaansen; Egbert F Knol; Mathew Kelly; Luis Varona; Paulo S Lopes; Simone E F Guimarães
Journal:  Genet Sel Evol       Date:  2016-02-01       Impact factor: 4.297

8.  Genome-wide association analyses using a Bayesian approach for litter size and piglet mortality in Danish Landrace and Yorkshire pigs.

Authors:  Xiangyu Guo; Guosheng Su; Ole Fredslund Christensen; Luc Janss; Mogens Sandø Lund
Journal:  BMC Genomics       Date:  2016-06-18       Impact factor: 3.969

Review 9.  Fetal mummification in the major domestic species: current perspectives on causes and management.

Authors:  Réjean C Lefebvre
Journal:  Vet Med (Auckl)       Date:  2015-06-08

10.  Association of Rs339939442 in the AHR Gene with Litter Size are Inconsistent among Chinese Indigenous Pigs and Western Commercial Pigs.

Authors:  Qian Zhang; Ruihua Huang; Xiang Ma; Nengjing Jiang; Wuduo Zhou; Chen Gao; Moran Zhao; Peipei Niu; Zongping Zhang; Qiang Li; Juan Zhou; Pinghua Li
Journal:  Animals (Basel)       Date:  2019-12-19       Impact factor: 2.752

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.