000163136 001__ 163136
000163136 005__ 20251009145936.0
000163136 0247_ $$2doi$$a10.1093/jas/skaf268
000163136 0248_ $$2sideral$$a145620
000163136 037__ $$aART-2025-145620
000163136 041__ $$aeng
000163136 100__ $$aNuñez, Pedro
000163136 245__ $$aThe gut microbiota as a predictor of feed efficiency and feeding behavior in Iberian pigs
000163136 260__ $$c2025
000163136 5060_ $$aAccess copy available to the general public$$fUnrestricted
000163136 5203_ $$aAbstract
In recent years, the production system of Iberian pigs has been significantly intensified, with new technologies playing a crucial role in recording traits such as feed efficiency. These advances also allow the study of different traits related to feeding behavior. In addition, the composition of the gut microbiota has previously been associated with animal health and performance. This study evaluated the relationship between the host genetics, the gut microbiota, and traits of feed efficiency and feeding behavior up to 180 d of age. First, we quantified the phenotypic variance explained by the host genetics and the gut microbiota using fecal samples collected at 2-time points: 140 and 180 d. Second, we evaluated whether the microbiota at 140 d could serve as an early predictor of phenotypes measured at 180 d. Identifying accurate early predictors may serve as a valuable tool to support future strategies aimed at reducing testing duration in the nucleus of selection. Our results indicate that microbiota accounts for a low to moderate proportion of total phenotypic variance and improves model fit for feed efficiency traits when included. Furthermore, the inclusion of microbiota data at 140 d improved the prediction of feed efficiency traits at 180 d but did not improve predictions for feeding behavior. This study provides valuable insights into variance component estimation for feed efficiency and feeding behavior traits in Iberian pigs fed with automatic feeders and highlights new opportunities to explore the role of microbiota in feed efficiency.
000163136 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-114705RB-I00
000163136 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000163136 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000163136 700__ $$aCasto-Rebollo, Cristina
000163136 700__ $$aMartinez-Boggio, Guillermo
000163136 700__ $$aNegro Rama, Sara
000163136 700__ $$aCasellas, Joaquim
000163136 700__ $$0(orcid)0000-0001-6256-5478$$aVarona, Luis$$uUniversidad de Zaragoza
000163136 700__ $$aPena, Romi
000163136 700__ $$aPeñagaricano, Francisco
000163136 700__ $$aIbáñez-Escriche, Noelia
000163136 7102_ $$11001$$2420$$aUniversidad de Zaragoza$$bDpto. Anatom.,Embri.Genét.Ani.$$cÁrea Genética
000163136 773__ $$g103 (2025), 10 pp.$$pJ. anim. sci.$$tJournal of Animal Science$$x0021-8812
000163136 8564_ $$s1814829$$uhttps://zaguan.unizar.es/record/163136/files/texto_completo.pdf$$yVersión publicada
000163136 8564_ $$s3377288$$uhttps://zaguan.unizar.es/record/163136/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000163136 909CO $$ooai:zaguan.unizar.es:163136$$particulos$$pdriver
000163136 951__ $$a2025-10-08-12:59:55
000163136 980__ $$aARTICLE