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dc.contributor.authorVarona, Luis
dc.contributor.authorNoguera, José Luis
dc.contributor.authorCasellas, Joaquim
dc.contributor.authorMartín de Hijas, Melani
dc.contributor.authorRosas, Juan Pablo
dc.contributor.authorIbáñez-Escriche, Noelia
dc.contributor.otherProducció Animalca
dc.date.accessioned2021-03-04T09:57:49Z
dc.date.available2021-03-04T09:57:49Z
dc.date.issued2020-12-03
dc.identifier.citationVarona, Luis, José Luis Noguera, Joaquim Casellas, Melani Martín de Hijas, Juan Pablo Rosas, and Noelia Ibáñez-Escriche. 2020. "A Cross-Specific Multiplicative Binomial Recursive Model For The Analysis Of Perinatal Mortality In A Diallel Cross Among Three Varieties Of Iberian Pig". Scientific Reports 10 (1). doi:10.1038/s41598-020-78346-7.ca
dc.identifier.issn2045-2322ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/1179
dc.description.abstractPerinatal piglet mortality is an important factor in pig production from economic and animal welfare perspectives; however, the statistical analysis of mortality is difcult because of its categorical nature. Recent studies have suggested that a binomial model for the survival of each specifc piglet with a logit approach is appropriate and that recursive relationships between traits are useful for taking into account non-genetic relationships with other traits. In this study, the recursive binomial model is expanded in two directions: (1) the recursive phenotypic dependence among traits is allowed to vary among groups of individuals or crosses, and (2) the binomial distribution is replaced by the multiplicative binomial distribution to account for over or underdispersion. In this study, fve recursive multiplicative binomial models were used to obtain estimates of the Dickerson crossbreeding parameters in a diallel cross among three varieties of Iberian pigs [Entrepelado (EE), Torbiscal (TT), and Retinto (RR)]. Records (10,255) from 2110 sows were distributed as follows: EE (433 records, 100 sows), ER (2336, 527), ET (942, 177), RE (806, 196), RR (870, 175), RT (2450, 488), TE (193, 36), TR (1993, 359), and TT (232, 68). Average litter size [Total Number Born (TNB)] and number of stillborns (SB) were 8.46 ± 2.27 and 0.25 ± 0.72, respectively. The overdispersion was evident with all models. The model with the best ft included a linear recursive relationship between TNB and the logit of φ of the multiplicative binomial distribution, and it implies that piglet mortality increases with litter size. Estimates of direct efects showed small diferences among populations. The analysis of maternal efects indicated that the dams whose mothers were EE had a larger SB, while dams with RR mothers reduced the probability of born dead. The posterior estimates of heterosis suggested a reduction in SB when the sow is crosbred. The multiplicative binomial distribution provides a useful alternative to the binomial distribution when there is overdispersion in the data. Recursive models can be used for modeling non-genetic relationships between traits, even if the phenotypic dependency between traits varies among environments or groups of individuals. Piglet perinatal mortality increased with TNB and is reduced by maternal heterosis.ca
dc.format.extent10ca
dc.language.isoengca
dc.publisherNature Researchca
dc.relation.ispartofScientific Reportsca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA cross-specific multiplicative binomial recursive model for the analysis of perinatal mortality in a diallel cross among three varieties of Iberian pigca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDCDTI/ /IDI-20170304/ES/ /ca
dc.relation.projectIDMINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/CGL2016-80155-R/ES/Analisis "Ómico" de caracteres reproductivos en un cruce dialélico entre tres estirpes de cerdo ibérico/IBEROMICSca
dc.subject.udc619ca
dc.identifier.doihttps://doi.org/10.1038/s41598-020-78346-7ca
dc.contributor.groupGenètica i Millora Animalca


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