Variance of gametic diversity and its application in selection programs

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dc.contributor.authorSantos, D. J. A. [UNESP]
dc.contributor.authorCole, J. B.
dc.contributor.authorLawlor Jr, T. J.
dc.contributor.authorVanRaden, P. M.
dc.contributor.authorTonhati, H. [UNESP]
dc.contributor.authorMa, L.
dc.contributor.institutionUniv Maryland
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUSDA
dc.contributor.institutionHolstein Assoc USA
dc.date.accessioned2019-10-04T12:38:21Z
dc.date.available2019-10-04T12:38:21Z
dc.date.issued2019-06-01
dc.description.abstractThe variance of gametic diversity (sigma(2)(gamete)) can be used to find individuals that more likely produce progeny with extreme breeding values. The aim of this study was to obtain this variance for individuals from routine genomic evaluations, and to apply gametic variance in a selection criterion in conjunction with breeding values to improve genetic progress. An analytical approach was developed to estimate sigma(2)(gamete) by the sum of binomial variances of all individual quantitative trait loci across the genome. Simulation was used to verify the predictability of this variance in a range of scenarios. The accuracy of prediction ranged from 0.49 to 0.85, depending on the scenario and model used. Compared with sequence data, SNP data are sufficient for estimating sigma(2)(gamete). Results also suggested that markers with low minor allele frequency and the covariance between markers should be included in the estimation. To incorporate sigma(2)(gamete) into selective breeding programs, we proposed a new index, relative predicted transmitting ability, which better utilizes the genetic potential of individuals than traditional predicted transmitting ability. Simulation with a small genome showed an additional genetic gain of up to 16% in 10 generations, depending on the number of quantitative trait loci and selection intensity. Finally, we applied sigma(2)(gamete) to the US genomic evaluations for Holstein and Jersey cattle. As expected, the DGAT1 gene had a strong effect on the estimation of sigma(2)(gamete) for several production traits. However, inbreeding had a small impact on gametic variability, with greater effect for more polygenic traits. In conclusion, gametic variance, a potentially important parameter for selection programs, can be easily computed and is useful for improving genetic progress and controlling genetic diversity.en
dc.description.affiliationUniv Maryland, Dept Anim & Avian Sci, College Pk, MD 20742 USA
dc.description.affiliationUniv Estadual Paulista, Dept Zootecinia, BR-14884900 Jaboticabal, Brazil
dc.description.affiliationUSDA, Henry A Wallace Beltsville Agr Res Ctr, Anim Genom & Improvement Lab, ARS, Beltsville, MD 20705 USA
dc.description.affiliationHolstein Assoc USA, Brattleboro, VT 05302 USA
dc.description.affiliationUnespUniv Estadual Paulista, Dept Zootecinia, BR-14884900 Jaboticabal, Brazil
dc.description.sponsorshipAgriculture and Food Research Initiative grant from the USDA National Institute of Food and Agriculture (Washington, DC)
dc.description.sponsorshipUS-Israel Binational Agricultural Research and Development Fund
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipAgricultural Research Service of the United States Department of Agriculture
dc.description.sponsorshipIdAgriculture and Food Research Initiative grant from the USDA National Institute of Food and Agriculture (Washington, DC): 2016-67015-24886
dc.description.sponsorshipIdUS-Israel Binational Agricultural Research and Development Fund: US-499717
dc.description.sponsorshipIdFAPESP: 2017/00462-5
dc.description.sponsorshipIdFAPESP: 2015/12396-1
dc.description.sponsorshipIdAgricultural Research Service of the United States Department of Agriculture: 8042-31000-002-00-D
dc.format.extent5279-5294
dc.identifierhttp://dx.doi.org/10.3168/jds.2018-15971
dc.identifier.citationJournal Of Dairy Science. New York: Elsevier Science Inc, v. 102, n. 6, p. 5279-5294, 2019.
dc.identifier.doi10.3168/jds.2018-15971
dc.identifier.issn0022-0302
dc.identifier.urihttp://hdl.handle.net/11449/185771
dc.identifier.wosWOS:000470659100046
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofJournal Of Dairy Science
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectMendelian sampling
dc.subjectgamete
dc.subjectheterozygosity
dc.subjectselective breeding
dc.subjectdairy cattle
dc.titleVariance of gametic diversity and its application in selection programsen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.

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