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In addition, the Wilmink exponential model (yt = a + b × e(−0.05t) + c × t) was fitted to milk yield within lactation, and the parameters were averaged by SR treatment and analyzed as above.
Within lactation repeatabilities for milk, fat, protein, and SCM yields ranged from 0.44 to 0.66; two percentages and protein to fat ratio, 0.21 to 0.32; feed efficiency, 0.18; dry matter intake (DMI) and body weight, 0.98 and 0.84; rectal and skin temperatures and respiration rate, 0.001 to 0.055.
Genetic correlations within lactation were high except between extreme parts of the lactation.
Potential confounding of correlation between test-day milk yields and clustering within lactation was taken care of by running the model with repeated measurements of test day milk yield within lactation nested within herd.
Two types of comparisons were made: among groups within lactation class, and among lactation classes within group.
One example is the modeling of culling in dairy cows which clearly follows a particular within lactation pattern [7].
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Repeatability estimates within lactations ranged between 0.20 and 0.29, and were in the range reported in the literature for sheep i.e. 0.22 to 0.38 [ 28, 32, 33].
However, covariances were fitted for the additive genetic term and for the permanent environmental effects of the ewe both across and within lactations.
Covariance between multiple measurements of milk yield, lnSCC, and CA within lactations were correlated and accounted for by the use of first order autoregressive correlation structure moving average (ARMA).
Patterns for genetic parameters within first lactation, however, require further confirmation and investigation.
In our model, death of the mother within the lactation period results in the death of the calf.
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