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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.

Recent awareness of the value of genetic resources has encouraged studies on genetic diversity not only at the population level but also at the molecular level in different breeds. Genetic characterization of native breeds is a first step in their conservation. Knowledge of genetic variation within and among extant breeds is required to meet future agricultural demands. Molecular typing methods provide a powerful and reproducible approach to estimating genetic relatedness within and among animal lines based on DNA variation. Microsatellites are regions of di, tri or tetra nucleotides that can...