000131210 001__ 131210
000131210 005__ 20240731103316.0
000131210 0247_ $$2doi$$a10.1111/jbg.12832
000131210 0248_ $$2sideral$$a136791
000131210 037__ $$aART-2023-136791
000131210 041__ $$aeng
000131210 100__ $$aSrihi, Houssemeddine$$uUniversidad de Zaragoza
000131210 245__ $$aA multivariate gametic model for the analysis of purebred and crossbred data. An example between two populations of Iberian pigs
000131210 260__ $$c2023
000131210 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131210 5203_ $$aCrossbreeding plays a pivotal role within pig breeding programmes, aiming to maximize heterosis and improve reproductive traits in crossbred maternal lines. Nevertheless, there is evidence indicating that the performance of reciprocal crosses between two genetic lines might exhibit variability. These variations in performance can be attributed to differences in the correlations between gametic effects, acting as either sire or dam, within purebred and crossbred populations. To address this issue, we propose a multivariate gametic model that incorporates up to four correlated gametic effects for each parental population. The model is employed on a data set comprising litter size data (total number of piglets born—TNB‐ and number of piglets born alive—NBA‐) derived from a reciprocal cross involving two Iberian pig populations: Entrepelado and Retinto. The data set comprises 6933 records from 1564 purebred Entrepelado (EE) sows, 4995 records from 1015 Entrepelado × Retinto (ER) crosses, 2977 records from 756 Retinto × Entrepelado (RE) crosses and 7497 records from 1577 purebred Retinto (RR) sows. The data set is further supplemented by a pedigree encompassing 6007 individual‐sire‐dam entries. The statistical model also included the order of parity (with six levels), the breed of the service sire (five levels) and the herd‐year‐season effects (141 levels). Additionally, the model integrates random dominant and permanent environmental sow effects. The analysis employed a Bayesian approach, and the results revealed all the posterior estimates of the gametic correlations to be positive. The range of the posterior mean estimates of the correlations varied across different gametic effects and traits, with a range between 0.04 (gametic correlation between the paternal effects for purebred and the maternal for crossbred in Retinto) and 0.53 (gametic correlation between the paternal effects for purebred and the paternal for crossbred in Entrepelado). Furthermore, the posterior mean variance estimates of the maternal gametic effects were consistently surpassed those for paternal effects within all four populations. The results suggest the possible influence of imprinting effects on the genetic control of litter size, and underscore the importance of incorporating crossbred data into the breeding value predictions for purebred individuals.
000131210 536__ $$9info:eu-repo/grantAgreement/EC/H2020/801586/EU/International Doctoral Programme for Talent Attraction to the Campus of International Excellence of the Ebro Valley/IberusTalent$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 801586-IberusTalent$$9info:eu-repo/grantAgreement/ES/MCIU-CDTI/IDI-20170304$$9info:eu-repo/grantAgreement/ES/MCIU/CGL2016-80155-R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-114705RB-I00
000131210 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000131210 590__ $$a1.9$$b2023
000131210 592__ $$a0.703$$b2023
000131210 591__ $$aAGRICULTURE, DAIRY & ANIMAL SCIENCE$$b21 / 80 = 0.262$$c2023$$dQ2$$eT1
000131210 593__ $$aAnimal Science and Zoology$$c2023$$dQ1
000131210 593__ $$aFood Animals$$c2023$$dQ1
000131210 593__ $$aMedicine (miscellaneous)$$c2023$$dQ2
000131210 594__ $$a5.2$$b2023
000131210 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000131210 700__ $$aLópez-Carbonell, David$$uUniversidad de Zaragoza
000131210 700__ $$aIbáñez-Escriche, Noelia
000131210 700__ $$aCasellas, Joaquim
000131210 700__ $$aHernández, Pilar
000131210 700__ $$aNegro, Sara
000131210 700__ $$0(orcid)0000-0001-6256-5478$$aVarona, Luis$$uUniversidad de Zaragoza
000131210 7102_ $$11001$$2420$$aUniversidad de Zaragoza$$bDpto. Anatom.,Embri.Genét.Ani.$$cÁrea Genética
000131210 773__ $$g141, 2 (2023), 153-162$$pJ. anim. breed. genet.$$tJOURNAL OF ANIMAL BREEDING AND GENETICS$$x0931-2668
000131210 8564_ $$s3178448$$uhttps://zaguan.unizar.es/record/131210/files/texto_completo.pdf$$yVersión publicada
000131210 8564_ $$s2407942$$uhttps://zaguan.unizar.es/record/131210/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000131210 909CO $$ooai:zaguan.unizar.es:131210$$particulos$$pdriver
000131210 951__ $$a2024-07-31-09:41:11
000131210 980__ $$aARTICLE