Random regression models using different functions to estimate genetic parameters for milk production in Holstein Friesians
Author:
Affiliation:
1. Universidade Federal de Santa Maria, Brazil
2. Universidade Técnica de Lisboa, Portugal
3. Universidade de Passo Fundo, Brazil
4. Instituto Federal do Rio Grande do Sul, Brasil
Abstract
Publisher
FapUNIFESP (SciELO)
Subject
General Veterinary,Agronomy and Crop Science,Animal Science and Zoology
Link
http://www.scielo.br/pdf/cr/v46n9/1678-4596-cr-46-09-01649.pdf
Reference19 articles.
1. Accounting for covariances among test day milk yields in dairy cows.;ALI E.;Canadian Journal Animal Science,1987
2. Random regression models to estimate test-day milk yield genetic parameters Holsteins cows in Southeastern Brazil.;BIGNARDI A.B.;Livestock Production Science,2009
3. Random regression models using different functions to model test-day milk yield of Brazilian Holstein cows.;BIGNARDI A.B.;Genetic and Molecular Research,2011
4. Estimation of genetic parameters for milk yield in Murrah buffaloes by Bayesian inference.;BREDA F.C.;Journal Dairy Science,2010
5. Genetic modeling of daily milk yields using orthogonal polynomials and parametric curves.;BROTHERSTONE S.;Animal Science,2000
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1. Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle;Semina: Ciências Agrárias;2021-03-19
2. Comparison of three methodologies for the genetic study of lactation persistency in Holstein cattle from Antioquia;Tropical Animal Health and Production;2021-02-23
3. Comparison of daughter's performance of progeny tested sires with pedigree selected sires in Holstein Friesian crossbred cattle;The Indian Journal of Animal Sciences;2020-09-01
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