Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/12901
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dc.contributor.authorSilva, F.G.
dc.contributor.authorTorres, R.A.
dc.contributor.authorBrito, L.F.
dc.contributor.authorSilva, L.P.
dc.contributor.authorMenezes, G.R.O.
dc.contributor.authorBrito, L.C.
dc.contributor.authorEuclydes, R.F.
dc.contributor.authorRodrigues, M.T.
dc.date.accessioned2017-11-08T15:28:23Z
dc.date.available2017-11-08T15:28:23Z
dc.date.issued2013-07-24
dc.identifier.issn16765680
dc.identifier.urihttp://dx.doi.org/10.4238/2013.July.24.1
dc.identifier.urihttp://www.locus.ufv.br/handle/123456789/12901
dc.description.abstractThe objective of this study was to compare the results of genetic evaluations by using different milk control intervals to reduce the cost of milk yield controls without harming the quality of genetic evaluation of the animals. We analyzed test day milk yield data from the Goat Sector of Universidade Federal de Viçosa. After editing and checking for errors in the database, there were 20,710 records of test day milk yield for the 667 first lactations of Alpine goats, constituting the complete file, with 7-day control intervals. Information on specific weeks was excluded from the complete file to create files with data on control intervals of 15, 21, and 28 days. The RENPED program was used to recode the pedigree and data files and correct pedigree errors; the WOMBAT program was used for genetic evaluations of the 4 files. The following comparison criteria of analysis results were used: logarithm of the function of the restricted maximum likelihood, length of the analyses in seconds, Pearson and Spearman correlations, and common elimination percentage among the areas below the regression curve of the genetic values of the animals. Overall, it is recommended that a 7-day interval among milk controls should be used in breeding programs and farms with a high technical level. Intervals of 14 and 21 days can achieve satisfactory results combined with a lower data collection cost for farms with an average-to-low technical level, less effective size, and genetic variability that depend on external genetic material for genetic improvement.en
dc.formatpdfpt-BR
dc.language.isoengpt-BR
dc.publisherGenetics and Molecular Researchpt-BR
dc.relation.ispartofseriesvol.12, n.3, p.2455-2464, July 2013pt-BR
dc.rightsOpen Accesspt-BR
dc.subjectPercentage of in common disposalpt-BR
dc.subjectLegendre polynomialspt-BR
dc.subjectSpearman correlationpt-BR
dc.titleGenetic evaluation of Alpine goats using different milk control intervalsen
dc.typeArtigopt-BR
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