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In general, genetic correlations were higher between adjacent DIM and lower among the more distant ones Table 5. Heritability estimates diagonal , genetic correlations above diagonal and permanent environmental correlations below and milk yield up to days MY diagonal between measures of persistency PS 1 to PS 9. Figure 1 shows observed milk yields representing milk production tendency during lactation and lactation curves estimated from WD and CL models for Bornova and Saanen goats. It showed that the three main eigen values and associated eigen function explained the most of the additive genetic and permanent environmental effect variance and little variation was associated to other eigen values for additive genetic effects and permanent environment effects. Biassus IO, Cobuci JA, Costa CN, Rorato PRN, Braccini Neto J, Cardoso LL. It might be necessary to consider those differences into account for genetic evaluation and selection. Genetic parameters for production traits in primiparous Holstein cows estimated by random regression models.
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Genetic Parameters for Milk Yield and Lactation Persistency Using Random Regression Models in Girolando Cattle

The heritability estimates of MTDMY were higher in the mid-lactation compared to early and late lactation due to higher additive genetic variance observed in this segment of lactation curve. Dairy Cattle Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana , India. Use of RRM allows the shape of the lactation curve to differ for each animal by inclusion of random regression coefficients for each animal. The estimates of genetic correlations between different test-day milk yields ranged 0.
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