Predictive ability of alternative models for genetic analysis of clinical mastitis

dc.creatorVazquez, AI
dc.creatorPerez-Cabal, MA
dc.creatorHeringstad, B
dc.creatorRodrigues-Motta, M
dc.creatorRosa, GJM
dc.creatorGianola, D
dc.creatorWeigel, KA
dc.date2012
dc.dateAPR
dc.date2014-08-01T18:34:27Z
dc.date2015-11-26T18:03:34Z
dc.date2014-08-01T18:34:27Z
dc.date2015-11-26T18:03:34Z
dc.date.accessioned2018-03-29T00:45:29Z
dc.date.available2018-03-29T00:45:29Z
dc.identifierJournal Of Animal Breeding And Genetics. Wiley-blackwell, v. 129, n. 2, n. 120, n. 128, 2012.
dc.identifier0931-2668
dc.identifierWOS:000301176800006
dc.identifier10.1111/j.1439-0388.2011.00950.x
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/80921
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/80921
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1292579
dc.descriptionMastitis in cows can be defined as a binary trait, reflecting presence or absence of clinical mastitis (CM), or as a count variable, number of mastitis cases (NCM), within a defined time interval. Many different models have been proposed for genetic analyses of mastitis, and the objective of this study was to evaluate the predictive ability and sire predictions of a set of models for genetic evaluation of CM or NCM. Linear- and threshold liability models for CM, and linear, censored ordinal threshold, and zero-inflated Poisson (ZIP) models for NCM were compared in a cross-validation study. To assess the ability of these models to predict future data, records from 620 492 first-lactation Norwegian Red cows, which were daughters of 3064 sires, were evaluated in a fourfold cross-validation scheme. The mean squared error of prediction was used for model comparison. All models but ordinal threshold model equally performed when comparing the overall predictive ability. This result was on average, across sick and healthy cows; however, the models behaved differently for each category of animals. For example, healthy cows were predicted better by the threshold and linear models for binary data and ZIP model, whereas for mastitic cows, the ordinal threshold model was by far the best model. Predicted sire effects and rankings of sires were highly correlated across all models. For practical purposes, the linear models are very competitive with the nonlinear models.
dc.description129
dc.description2
dc.description120
dc.description128
dc.descriptionWisconsin Agriculture Experiment Station [DMS-NSF DMS-044371]
dc.descriptionBabcock Institute for Dairy Research and Development
dc.descriptionNational Association of Animal Breeders (Columbia, MO)
dc.descriptionWisconsin Agriculture Experiment Station [DMS-NSF DMS-044371]
dc.languageen
dc.publisherWiley-blackwell
dc.publisherMalden
dc.publisherEUA
dc.relationJournal Of Animal Breeding And Genetics
dc.relationJ. Anim. Breed. Genet.
dc.rightsfechado
dc.rightshttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dc.sourceWeb of Science
dc.subjectcross-validation
dc.subjectlinear model
dc.subjectMastitis
dc.subjectmodel comparison
dc.subjectordinal threshold model
dc.subjectthreshold model
dc.subjectzero-inflated Poisson model
dc.subjectZero-inflated Poisson
dc.subjectNorwegian Red Cows
dc.subjectThreshold-model
dc.subjectLinear-models
dc.subjectDairy-cattle
dc.subjectCorriedale Sheep
dc.subjectBlack Spots
dc.subjectNumber
dc.subjectConception
dc.subjectResistance
dc.titlePredictive ability of alternative models for genetic analysis of clinical mastitis
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución