Genetic Evaluation of Growth Using RRM in Jersey Crossbred Cattle - Sakunthala Devi, Kopparthi;Anjali, Vallapu
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Random regression models are suitable for genetic evaluation of growth with no dependence upon standardization of weight. The random regression test-day model has been widely used for genetic evaluation of production traits in dairy cattle and has many advantages, including accurately accounting for genetic and environmental effects on body weight at different ages. Random regression models are more parsimonious, have fewer computational requirements, and require less time to attain convergence.

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Produktbeschreibung
Random regression models are suitable for genetic evaluation of growth with no dependence upon standardization of weight. The random regression test-day model has been widely used for genetic evaluation of production traits in dairy cattle and has many advantages, including accurately accounting for genetic and environmental effects on body weight at different ages. Random regression models are more parsimonious, have fewer computational requirements, and require less time to attain convergence.
Autorenporträt
Presently working as Professor and Head, Department of AGB. Worked as a scientist in breeding projects on various livestock species. Successfully completed various research projects related to the genetics and breeding of animals. Recipient of the Univ. Meritorious Research Scientist Award and the Raithunestham Award.