Genetic Evaluation of Growth Using RRM in Jersey Crossbred Cattle
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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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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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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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