Breeding Value Prediction for Production Traits in Layer Chickens Using Pedigree or Genomic Relationships in a Reduced Animal Model

dc.contributor.author Wolc, Anna
dc.contributor.author Wolc, Anna
dc.contributor.author Stricker, Chris
dc.contributor.author Arango, Jesus
dc.contributor.author Lamont, Susan
dc.contributor.author Settar, Petek
dc.contributor.author Fulton, Janet
dc.contributor.author O'Sullivan, Neil
dc.contributor.author Preisinger, Rudolf
dc.contributor.author Habier, David
dc.contributor.author Fernando, Rohan
dc.contributor.author Garrick, Dorian
dc.contributor.author Lamont, Susan
dc.contributor.author Dekkers, Jack
dc.contributor.department Animal Science
dc.date 2018-02-17T06:01:48.000
dc.date.accessioned 2020-06-29T23:38:50Z
dc.date.available 2020-06-29T23:38:50Z
dc.date.copyright Sat Jan 01 00:00:00 UTC 2011
dc.date.issued 2011-01-01
dc.description.abstract <p>Genomic selection involves breeding value estimation of selection candidates based on high-density SNP genotypes. To quantify the potential benefit of genomic selection, accuracies of estimated breeding values (EBV) obtained with different methods using pedigree or high-density SNP genotypes were evaluated and compared in a commercial layer chicken breeding line.</p> <p>The following traits were analyzed: egg production, egg weight, egg color, shell strength, age at sexual maturity, body weight, albumen height, and yolk weight. Predictions appropriate for early or late selection were compared. A total of 2,708 birds were genotyped for 23,356 segregating SNP, including 1,563 females with records. Phenotypes on relatives without genotypes were incorporated in the analysis (in total 13,049 production records).</p> <p>The data were analyzed with a Reduced Animal Model using a relationship matrix based on pedigree data or on marker genotypes and with a Bayesian method using model averaging. Using a validation set that consisted of individuals from the generation following training, these methods were compared by correlating EBV with phenotypes corrected for fixed effects, selecting the top 30 individuals based on EBV and evaluating their mean phenotype, and by regressing phenotypes on EBV. Using high-density SNP genotypes increased accuracies of EBV up to two-fold for selection at an early age and by up to 88% for selection at a later age. Accuracy increases at an early age can be mostly attributed to improved estimates of parental EBV for shell quality and egg production, while for other egg quality traits it is mostly due to improved estimates of Mendelian sampling effects. A relatively small number of markers was sufficient to explain most of the genetic variation for egg weight and body weight.</p>
dc.description.comments <p>This article is from <em>Genetics Selection Evolution</em> 43 (2011): 5, doi:<a href="http://dx.doi.org/10.1186/1297-9686-43-5" target="_blank">10.1186/1297-9686-43-5</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ans_pubs/187/
dc.identifier.articleid 1188
dc.identifier.contextkey 7842888
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ans_pubs/187
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/9590
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ans_pubs/187/2011_Lamont_BreedingValue.pdf|||Fri Jan 14 21:45:43 UTC 2022
dc.source.uri 10.1186/1297-9686-43-5
dc.subject.disciplines Agriculture
dc.subject.disciplines Animal Sciences
dc.subject.disciplines Genetics and Genomics
dc.subject.disciplines Poultry or Avian Science
dc.title Breeding Value Prediction for Production Traits in Layer Chickens Using Pedigree or Genomic Relationships in a Reduced Animal Model
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 7103f024-4508-422f-82ff-1d5e544596a2
relation.isAuthorOfPublication 5dee3d24-aa7a-4fe1-abf6-f0bb615bfe24
relation.isOrgUnitOfPublication 85ecce08-311a-441b-9c4d-ee2a3569506f
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