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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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.
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Taschenbuch. Zustand: Neu. Genetic Evaluation of Growth Using RRM in Jersey Crossbred Cattle | Random regression models | Kopparthi Sakunthala Devi (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9783659784408 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Artikel-Nr. 133336444
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