0000000000513078

AUTHOR

J.a.m. Van Arendonk

showing 2 related works from this author

Effect of somatic cell count level on functional longevity in Valle del Belice dairy sheep assessed using survival analysis.

2009

The objectives of this study were to evaluate the effect of somatic cell count (SCC) on functional longevity and to estimate the heritability of functional longevity using survival analysis in Valle del Belice dairy sheep. A total of 4,880 lactations of 2,190 ewes from 11 flocks were used. In this study, SCC was considered as an indication of subclinical mastitis. In case of clinical cases, identified by the technicians at milking time, test-day weights and milk samples of those ewes were not considered. Somatic cells were analyzed as counts, without any transformation, and were grouped in 3 classes based on the observed SCC maximum (mxSCC). The mxSCC classes, expressed as 103 cells/mL, wer…

Veterinary medicinemedia_common.quotation_subjectLongevityselectionCell CountMastitisAnimal Breeding and GenomicsBiologygenetic-parametersModels BiologicalMilkingSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticocowsAnimal scienceQuantitative Trait Heritabletraitsproductive lifeLactationsomatic cell count longevity survival analysis dairy sheepGeneticsmedicinescoreAnimalsFokkerij en Genomicasubclinical mastitisSurvival analysismedia_commonmilkSheepLongevityHeritabilitymedicine.diseaseSurvival AnalysisMastitisDairyingmedicine.anatomical_structureMilkcattleWIASholsteinAnimal Science and ZoologyFemaleFlockSomatic cell countFood ScienceJournal of dairy science
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Bayesian reanalysis of a quantitative trait locus accounting for multiple environments by scaling in broilers1

2006

A Bayesian method was developed to handle QTL analyses of multiple experimental data of outbred populations with heterogeneity of variance between sexes for all random effects. The method employed a scaled reduced animal model with random polygenic and QTL allelic effects. A parsimonious model specification was applied by choosing assumptions regarding the covariance structure to limit the number of parameters to estimate. Markov chain Monte Carlo algorithms were applied to obtain marginal posterior densities. Simulation demonstrated that joint analysis of multiple environments is more powerful than separate single trait analyses of each environment. Measurements on broiler BW obtained from…

education.field_of_studybusiness.industryBayesian probabilityPopulationfood and beveragesAccountingMarkov chain Monte CarloGeneral MedicineCovarianceBiologyQuantitative trait locusRandom effects modelsymbols.namesakeBayes' theoremStatisticsGeneticsTraitsymbolsAnimal Science and ZoologybusinesseducationFood ScienceJournal of Animal Science
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