000057812 001__ 57812
000057812 005__ 20170503140338.0
000057812 0247_ $$2doi$$a10.1186/1297-9686-46-40
000057812 0248_ $$2sideral$$a88288
000057812 037__ $$aART-2014-88288
000057812 041__ $$aeng
000057812 100__ $$aErtl, J.
000057812 245__ $$aGenomic analysis of dominance effects on milk production and conformation traits in Fleckvieh cattle
000057812 260__ $$c2014
000057812 5060_ $$aAccess copy available to the general public$$fUnrestricted
000057812 5203_ $$aBackground
Estimates of dominance variance in dairy cattle based on pedigree data vary considerably across traits and amount to up to 50% of the total genetic variance for conformation traits and up to 43% for milk production traits. Using bovine SNP (single nucleotide polymorphism) genotypes, dominance variance can be estimated both at the marker level and at the animal level using genomic dominance effect relationship matrices. Yield deviations of high-density genotyped Fleckvieh cows were used to assess cross-validation accuracy of genomic predictions with additive and dominance models. The potential use of dominance variance in planned matings was also investigated.
Results
Variance components of nine milk production and conformation traits were estimated with additive and dominance models using yield deviations of 1996 Fleckvieh cows and ranged from 3.3% to 50.5% of the total genetic variance. REML and Gibbs sampling estimates showed good concordance. Although standard errors of estimates of dominance variance were rather large, estimates of dominance variance for milk, fat and protein yields, somatic cell score and milkability were significantly different from 0. Cross-validation accuracy of predicted breeding values was higher with genomic models than with the pedigree model. Inclusion of dominance effects did not increase the accuracy of the predicted breeding and total genetic values. Additive and dominance SNP effects for milk yield and protein yield were estimated with a BLUP (best linear unbiased prediction) model and used to calculate expectations of breeding values and total genetic values for putative offspring. Selection on total genetic value instead of breeding value would result in a larger expected total genetic superiority in progeny, i.e. 14.8% for milk yield and 27.8% for protein yield and reduce the expected additive genetic gain only by 4.5% for milk yield and 2.6% for protein yield.
Conclusions
Estimated dominance variance was substantial for most of the analyzed traits. Due to small dominance effect relationships between cows, predictions of individual dominance deviations were very inaccurate and including dominance in the model did not improve prediction accuracy in the cross-validation study. Exploitation of dominance variance in assortative matings was promising and did not appear to severely compromise additive genetic gain.
000057812 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000057812 590__ $$a3.821$$b2014
000057812 591__ $$aAGRICULTURE, DAIRY & ANIMAL SCIENCE$$b1 / 56 = 0.018$$c2014$$dQ1$$eT1
000057812 591__ $$aGENETICS & HEREDITY$$b44 / 166 = 0.265$$c2014$$dQ2$$eT1
000057812 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000057812 700__ $$aLegarra, A.
000057812 700__ $$aVitezica, Z.G.
000057812 700__ $$0(orcid)0000-0001-6256-5478$$aVarona, L.$$uUniversidad de Zaragoza
000057812 700__ $$aEdel, C.
000057812 700__ $$aEmmerling, R.
000057812 700__ $$aGötz, K.U.
000057812 7102_ $$11001$$2420$$aUniversidad de Zaragoza$$bDepartamento de Anatomía, Embriología y Genética Animal$$cGenética
000057812 773__ $$g46, 1 (2014), 40 [10 pp]$$pGenet. sel. evol.$$tGENETICS SELECTION EVOLUTION$$x0999-193X
000057812 8564_ $$s393084$$uhttps://zaguan.unizar.es/record/57812/files/texto_completo.pdf$$yVersión publicada
000057812 8564_ $$s109917$$uhttps://zaguan.unizar.es/record/57812/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000057812 909CO $$ooai:zaguan.unizar.es:57812$$particulos$$pdriver
000057812 951__ $$a2017-05-03-13:58:42
000057812 980__ $$aARTICLE