F. R. F. Teixeira, M. Nascimento, P. Cecon, C. D. Cruz, F. F. Silva, A. C. Nascimento, Carolina Azevedo, D. B. D. Marques, M.V.G.B. da Silva, A. Carneiro, D. M. Paixão
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Research Article Genomic prediction of lactation curves of Girolando cattle based on nonlinear mixed models
Knowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis,
期刊介绍：
Genetics and Molecular Research (GMR), maintained by the Research Foundation of Ribeirão Preto (Fundação de Pesquisas Científicas de Ribeirão Preto), publishes high quality research in genetics and molecular biology. GMR reflects the full breadth and interdisciplinary nature of this research by publishing outstanding original contributions in all areas of biology.
GMR publishes human studies, as well as research on model organisms—from mice and flies, to plants and bacteria. Our emphasis is on studies of broad interest that provide significant insight into a biological process or processes. Topics include, but are not limited to gene discovery and function, population genetics, evolution, genome projects, comparative and functional genomics, molecular analysis of simple and complex genetic traits, cancer genetics, medical genetics, disease biology, agricultural genomics, developmental genetics, regulatory variation in gene expression, pharmacological genomics, evolution, gene expression, chromosome biology, and epigenetics.
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