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Phenotypes for calving traits were parity-specific daughter yield deviations estimated univariately via a sire model.
Standard wall functions (SWFs) yield deviations of about 40% for the convective heat transfer coefficient, compared to LRNM.
Daughter yield deviations for clinical mastitis, somatic cell count (SCC), and other diseases (OD) were included in the analysis.
Effects of casein haplotypes and β-lactoglobulin (LG) genotypes on milk protein fractions and on daughter yield deviations for milk performance traits were estimated from a daughter design.
Quantitative measurements for the QTL analysis were calculated for each trait from evaluation scores using within-family yield deviations corrected for fixed environmental effects.
It is shown that both models are reliable in predicting the data of symmetric systems and they yield deviations that do not significantly exceed the possible experimental uncertainties.
A granddaughter design was used to combine molecular genetic information with predicted transmitting abilities (PTA) and estimated daughter yield deviations (DYD) from eight Dairy Bull DNA Repository Holstein families.
Using the yield deviations of the raw scores adjusted for fixed factors as phenotypic measurements, a quantitative trait loci (QTL) analysis was performed on the basis of a multi-marker regression method.
A linear model was fitted to the sires' daughter yield deviations for HTDMYint, HTDMYslope, THIint and THIslope to determine if the SNPs accounted for any of the between sire variation in these traits.
GEBV = genomically estimated breeding values; DYD = daughter yield deviations; YD = yield deviations; SCC = somatic cell count.
Yield deviations from Model 1 were used as phenotypes.
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