Genetic evaluation of milk yield in Alpine goats for the first four lactations using random regression models

dc.creatorTorres, R.A.
dc.creatorCarneiro, A.P.S.
dc.creatorNascimento, M.
dc.creatorSilva, F.F.
dc.creatorSilva, L.P.
dc.creatorRodrigues, M.T.
dc.creatorVentura, H.T.
dc.creatorSilva, F.G.
dc.date2017-11-08T17:37:36Z
dc.date2017-11-08T17:37:36Z
dc.date2014-12-19
dc.date.accessioned2023-09-27T20:47:38Z
dc.date.available2023-09-27T20:47:38Z
dc.identifier16765680
dc.identifierhttp://dx.doi.org/10.4238/2014.December.19.16
dc.identifierhttp://www.locus.ufv.br/handle/123456789/12935
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8948043
dc.descriptionRandom regression models have been used in evaluating test-day milk yield, providing accurate estimates of genetic values in animals. However, herd evaluation with only information from the first lactation may not be the best option from an economic perspective. Other factors should be taken into account, particularly other lactations. Our objective in this study was to analyze the genetic divergence between the first four lactations of Alpine goats. The RENPED software was used to perform descriptive statistics, check for errors in pedigree, recode the data, and for Pearson’s and Spearman’s correlations. The WOMBAT software was used to estimate the variance components and predict the breeding values. The CALC software was adopted to calculate the percentage of coincidence between the ranking of the animals and the animals kept in common at each lactation evaluation. The results show that selection using only the first lactation in small herds with a low degree of technology can be employed as a palliative measure, in view of the difficulty in evaluating all lactations. However, the selection of breeding goats and the production of catalogues should not be based only on the first lactation, because the results demonstrate inversions in the classification of the best breeders when other lactations are analyzed
dc.formatpdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherGenetics and Molecular Research
dc.relation13 (4): p. 10943-10951, December 2014
dc.rightsOpen Access
dc.subjectAnimals selected in common
dc.subjectLegendre
dc.subjectGenetic value
dc.titleGenetic evaluation of milk yield in Alpine goats for the first four lactations using random regression models
dc.typeArtigo


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