000151381 001__ 151381
000151381 005__ 20250307114716.0
000151381 0247_ $$2doi$$a10.3390/ani11061682
000151381 0248_ $$2sideral$$a127266
000151381 037__ $$aART-2021-127266
000151381 041__ $$aeng
000151381 100__ $$aMartinez-castillero M.$$uUniversidad de Zaragoza
000151381 245__ $$aDetection of genomic regions with pleiotropic effects for growth and carcass quality traits in the rubia gallega cattle breed
000151381 260__ $$c2021
000151381 5060_ $$aAccess copy available to the general public$$fUnrestricted
000151381 5203_ $$aThe breeding scheme in the Rubia Gallega cattle population is based upon traits measured in farms and slaughterhouses. In recent years, genomic evaluation has been implemented by using a ssGBLUP (single-step Genomic Best Linear Unbiased Prediction). This procedure can reparameterized to perform ssGWAS (single-step Genome Wide Association Studies) by backsolving the SNP (single nucleotide polymorphisms) effects. Therefore, the objective of this study was to identify genomic regions associated with the genetic variability in growth and carcass quality traits. We implemented a ssGBLUP by using a database that included records for Birth Weight (BW -327, 350 records-), Weaning Weight (WW -83, 818-), Cold Carcass Weight (CCW -91, 621-), Fatness (FAT - 91, 475-) and Conformation (CON-91, 609-). The pedigree included 464, 373 individuals, 2, 449 of which were genotyped. After a process of filtering, we ended up using 43, 211 SNP markers. We used the GBLUP and SNPBLUP model equivalences to obtain the effects of the SNPs and then calculated the percentage of variance explained by the regions of the genome between 1 Mb. We identified 7 regions of the genome for CCW; 8 regions for BW, WW, FAT and 9 regions for CON, which explained the percentage of variance above 0.5%. Furthermore, a number of the genome regions had pleiotropic effects, located at: BTA1 (131-132 Mb), BTA2 (1-11 Mb), BTA3 (32-33 Mb), BTA6 (36- 38 Mb), BTA16 (24-26 Mb), and BTA 21 (56-57 Mb). These regions contain, amongst others, the fol-lowing candidate genes: NCK1, MSTN, KCNA3, LCORL, NCAPG, and RIN3.
000151381 536__ $$9info:eu-repo/grantAgreement/EUR/FEADER/2019-053A
000151381 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000151381 590__ $$a3.231$$b2021
000151381 591__ $$aVETERINARY SCIENCES$$b16 / 145 = 0.11$$c2021$$dQ1$$eT1
000151381 591__ $$aAGRICULTURE, DAIRY & ANIMAL SCIENCE$$b13 / 62 = 0.21$$c2021$$dQ1$$eT1
000151381 592__ $$a0.61$$b2021
000151381 593__ $$aVeterinary (miscellaneous)$$c2021$$dQ1
000151381 593__ $$aAnimal Science and Zoology$$c2021$$dQ1
000151381 594__ $$a2.7$$b2021
000151381 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000151381 700__ $$0(orcid)0000-0002-3042-2250$$aThen C.$$uUniversidad de Zaragoza
000151381 700__ $$aAltarriba J.
000151381 700__ $$aSrihi H.
000151381 700__ $$0(orcid)0000-0001-6256-5478$$aLópez-carbonell D.$$uUniversidad de Zaragoza
000151381 700__ $$aDíaz C.
000151381 700__ $$aMartinez P.
000151381 700__ $$aHermida M.
000151381 700__ $$aVarona L.
000151381 7102_ $$11001$$2420$$aUniversidad de Zaragoza$$bDpto. Anatom.,Embri.Genét.Ani.$$cÁrea Genética
000151381 773__ $$g11, 6 (2021), 1682 [10 pp.]$$pAnimals (Basel)$$tAnimals$$x2076-2615
000151381 8564_ $$s756396$$uhttps://zaguan.unizar.es/record/151381/files/texto_completo.pdf$$yVersión publicada
000151381 8564_ $$s2678495$$uhttps://zaguan.unizar.es/record/151381/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000151381 909CO $$ooai:zaguan.unizar.es:151381$$particulos$$pdriver
000151381 951__ $$a2025-03-07-09:33:30
000151381 980__ $$aARTICLE