Background India is the largest milk producer globally, with the largest proportion of cattle
milk production coming from smallholder farms with an average herd size of less than two …

Efforts to improve dairy production in smallholder farming systems of East Africa over the
past decade have had limited impact because of the lack of records on performance to guide …

We proposed multiple-trait random regression models (MTRRM) combining different
functions to describe milk yield (MY) and fat (FP) and protein (PP) percentage in dairy goat …

The objective of this work is to estimate genetic parameters and breeding values to improve
embryo and oocyte production, using repeatability and random regression models (RRM) for …

The objective of this study was to estimate the energy and protein requirements of crossbred
(Holstein× Gyr) growing bulls. Twenty-four 10-mo-old bulls [initial body weight (BW) …

Background Genotype-by-environment interactions for a trait can be modeled using multiple-
trait, ie character-state, models, that consider the phenotype as a different trait in each …

The objective of this work was to compare random regression models for the estimation of
genetic parameters for Guzerat milk production, using orthogonal Legendre polynomials …

We aimed with this study to combine Legendre polynomials (LEG) and linear B-splines
(BSP) to describe simultaneously the first and second lactation of Gyr dairy cattle under a …

The objective of this work was to compare genetic evaluations of milk yield in the Gir breed,
in terms of breeding values and their accuracy, using a random regression model applied to …

Objective The objective of this study was to estimate genetic parameters of milk, fat, and
protein yields within and across lactations in Tunisian Holsteins using a random regression …