000076031 001__ 76031
000076031 005__ 20190709135453.0
000076031 0247_ $$2doi$$a10.1016/j.livsci.2017.03.024
000076031 0248_ $$2sideral$$a98964
000076031 037__ $$aART-2017-98964
000076031 041__ $$aeng
000076031 100__ $$aLázaro, S.F.
000076031 245__ $$aBayesian analysis of pig growth curves combining pedigree and genomic information
000076031 260__ $$c2017
000076031 5060_ $$aAccess copy available to the general public$$fUnrestricted
000076031 5203_ $$aWe proposed a genome association study for pig growth curves based on Bayesian hierarchical framework considering different sets of SNP markers and pedigree. Additionally, we aimed also to identify possible chromosome regions affecting the growth curve parameters using empirical weight-age data from an outbred F2 (Brazilian Piau vs commercial) pig population. Under the proposed hierarchical approach, individual growth trajectories were modeled by the nonlinear Gompertz function, so that the parameter estimates were considered to be affected by additive polygenic, systematic and SNP markers effects. The model assuming jointly pedigree and SNP markers presented the best fit based on Deviance Information Criterion. Heritability estimates ranged from 0.53 to 0.56 and from 0.55 to 0.57, respectively for the parameters mature weight (a) and maturing rate (k). Additionally, we found high and positive genetic correlation (0.78) between “a” and “k”. The percentages of the genetic variances explained by each SNP allowed identifying the most relevant chromosome regions for each phenotype (growth curve parameters). The majority of these regions were closed to QTL regions previously reported for growth traits. However, we identified three relevant SNPs (55840514 bp at SSC17, 55814469 at SSC17 and 76475804 at SSC X) affecting “a” and “k” simultaneously, and three SNPs affecting only “a” (292758 bp at SSC1, 67319 bp at SSC8 and 50290193 bp at SSC17), that are located in regions not previously described as QTL for growth traits in pigs.
000076031 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000076031 590__ $$a1.204$$b2017
000076031 591__ $$aAGRICULTURE, DAIRY & ANIMAL SCIENCE$$b22 / 59 = 0.373$$c2017$$dQ2$$eT2
000076031 592__ $$a0.73$$b2017
000076031 593__ $$aVeterinary (miscellaneous)$$c2017$$dQ1
000076031 593__ $$aAnimal Science and Zoology$$c2017$$dQ1
000076031 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000076031 700__ $$aIbáñez-Escriche, N.
000076031 700__ $$0(orcid)0000-0001-6256-5478$$aVarona, L.$$uUniversidad de Zaragoza
000076031 700__ $$aSilva, F.F.E.
000076031 700__ $$aBrito, L.C.
000076031 700__ $$aGuimarães, S.E.F.
000076031 700__ $$aLopes, P.S.
000076031 7102_ $$11001$$2420$$aUniversidad de Zaragoza$$bDpto. Anatom.,Embri.Genét.Ani.$$cÁrea Genética
000076031 773__ $$g201 (2017), 34-40$$pLivest. Sci.$$tLivestock Science$$x1871-1413
000076031 8564_ $$s395676$$uhttps://zaguan.unizar.es/record/76031/files/texto_completo.pdf$$yPostprint
000076031 8564_ $$s55062$$uhttps://zaguan.unizar.es/record/76031/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000076031 909CO $$ooai:zaguan.unizar.es:76031$$particulos$$pdriver
000076031 951__ $$a2019-07-09-11:41:50
000076031 980__ $$aARTICLE