Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/77458
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dc.contributor.authorZiadi, Chirazen_US
dc.contributor.authorMuñoz Mejías, María Evaen_US
dc.contributor.authorSánchez Rodríguez, Manuelen_US
dc.contributor.authorLópez, María Doloresen_US
dc.contributor.authorGonzález-Casquet, Olgaen_US
dc.contributor.authorMolina Alcalá, Antonioen_US
dc.date.accessioned2021-02-02T11:20:41Z-
dc.date.available2021-02-02T11:20:41Z-
dc.date.issued2021en_US
dc.identifier.issn1594-4077en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/77458-
dc.description.abstractGenetic parameters of litter size (LS) and number of kids born alive (NBA) were estimated across parities in Florida and Payoya goat breeds using a threshold random regression model (RRM). We analysed the reproductive records for the Florida and Payoya breeds separately, and a total of 130.849 and 67.478 reproductive records from the first to the seventh parities from Florida and Payoya, respectively, were included in the analysis. Random regressions on Legendre polynomials of standardised parity were included for permanent environmental and additive genetic effects. We based our estimation of all the covariance components on Bayesian inference under categorical distribution and considered heterogeneous residual variances in the model. The estimates of heritabilities ranged from null to 0.37 for LS and from 0.02 to 0.20 for NBA, while the repeatability estimates were between 0.008–0.60 and 0.03–0.44 for LS and NBA, respectively. Phenotypic correlations within-trait along parities ranged widely from −0.31 to 0.97, while the genetic correlations within-trait through parities showed a wider range and magnitude of values, from −0.98 to 0.99 for LS and from −0.72 to 0.99 for NBA. The estimates of genetic correlations between LS and NBA in the different parities were positive in the first two parities and negative in the later ones. Due to the noticeable changes in variance and the incomplete genetic correlations, the use of a random regression model to analyse LS and NBA is recommended in goat breeds.HIGHLIGHTS A bivariate threshold random regression model has been used for the first time to estimate genetic parameters of litter size and number of kids born alive across parities in Spanish goat breeds. The evolution of genetic parameters along parities is different between Florida and Payoya that have different production systems, being more intensive in the case of the Florida breed. Estimates of variance were not constant across parities for both traits and breeds. Genetic correlations within-trait across parities were different from unity. Thus, LS and NBA should be treated as different traits in successive parities. Given that the estimates of variance and covariances are not constant across parities for both traits and breeds, the use of RRM is highly recommended.en_US
dc.languageengen_US
dc.relation.ispartofItalian Journal of Animal Scienceen_US
dc.sourceItalian Journal of Animal Science [ISSN 1594-4077], v. 20 (1), p. 94-101, (Enero 2021)en_US
dc.subject310411 Reproducciónen_US
dc.subject310902 Genéticaen_US
dc.subject.otherDairy Goaten_US
dc.subject.otherGenetic Parametersen_US
dc.subject.otherLitter Sizeen_US
dc.subject.otherNumber Of Kids Born Aliveen_US
dc.subject.otherRandom Regression Modelen_US
dc.titleGenetic analysis of litter size and number of kids born alive across parities in Spanish goat breeds using a random regression modelen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/1828051X.2020.1869601en_US
dc.identifier.scopus85099694440-
dc.contributor.authorscopusid55830630800-
dc.contributor.authorscopusid57221641688-
dc.contributor.authorscopusid26533359900-
dc.contributor.authorscopusid57169327300-
dc.contributor.authorscopusid57193912465-
dc.contributor.authorscopusid57221645016-
dc.identifier.eissn1828-051X-
dc.description.lastpage101en_US
dc.identifier.issue1-
dc.description.firstpage94en_US
dc.relation.volume20en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2021en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-VETen_US
dc.description.sjr0,573
dc.description.jcr2,217
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.miaricds11,0
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptDepartamento de Patología Animal, Producción Animal, Bromatología y Tecnología de Los Alimentos-
crisitem.author.fullNameMuñoz Mejías, María Eva-
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