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Genetic evaluation for persistency of lactation in Holstein cows using a random regression model. Author(s): COBUCI, J. A.; EUCLYDES, R. F.; COSTA, C. N.; TORRES, R. de A.; LOPES, P. S.; PEREIRA, C. S. A model for analyzing test day records including both fixed and random coefficients was applied to the genetic evaluation of first lactation data for Holstein cows. Data comprising 87045 test-day milk... ... Repository: BDPA Publication year: 2007
Genetic parameters for test day milk yields of first lactation Holstein cows by random regression models. Author(s): MELO, C. M. R. de; PACKER, I. U.; COSTA, C. N.; MACHADO, P. F. Covariance components for test day milk yield using 263 390 first lactation records of 32 448 Holstein cows were estimated using random regression animal models by restricted maximum likelihood. Three... ... Repository: BDPA Publication year: 2007
Genetic Parameters for Milk Yield and Lactation Persistency Using Random Regression Models in Girolando Cattle. Author(s): CANAZA-CAYO, A. W.; LOPES, P. S.; SILVA, M. V. G. B.; TORRES, R. de A.; MARTINS, M. F.; ARBEX, W. A.; COBUCI, J. A. Repository: BDPA Publication year: 2015
Milk yield persistency in brazilian gyr cattle based on a random regression model. Author(s): PEREIRA, R. J.; VERNEQUE, R. da S.; LOPES, P. S.; SANTANA JUNIOR, M. L.; LAGROTTA, M. R.; TORRES, R. A.; VERCESI FILHO, A. E.; MACHADO, M. A. With the objective of evaluating measures of milk yield persistency, 27,000 test-day milk yield records from 3362 first lactations of Brazilian Gyr cows that calved between 1990 and 2007 were analyzed... ... Repository: BDPA Publication year: 2012
Genetic evaluation for large data sets by random regression models in Nellore cattle. Author(s): NOBRE, P. R. C.; ROSA, A. do N.; SILVA, L. O. C. da Expected progeny differences (EPD) of Nellore cattle estimated by random regression model (RRM) and multiple trait model (MTM) were compared. Genetic evaluation data included 3,819,895 records of up n... ... Repository: BDPA Publication year: 2009
Genetic parameters for milk production by using random regression models with different alternatives of fixed regression modeling. Author(s): COBUCI, J. A.; COSTA, C. N.; BRACCINI NETO, J.; FREITAS, A. F. de Records of test-day milk yields of the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters for milk yield by using two alternatives of definition of fixed regressio... ... Repository: BDPA Publication year: 2011
Persistency of lactation using random regression models and different fixed regression modeling approaches. Author(s): COBUCI, J. A.; COSTA, C. N. Milk yield test-day records on the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters and predict breeding values for nine measures of persistency and 305-d milk y... ... Repository: BDPA Publication year: 2012
Influence of animals obtained using embryo transfer on the genetic evaluation of growth in Simmental beef cattle with random regression models. Author(s): MOTA, R. R.; LOPES, P. S.; MARQUES, L. F. A.; SILVA, L. P.; PESSOA, M. C.; TORRES, R. A.; RESENDE, M. D. V. de Weight records of Simmental beef cattle were used in a genetic evaluation of growth with and without embryo transfer (ET). A random regression model in which ET individuals were excluded (RRM1) contai... ... Repository: BDPA Publication year: 2013
Estimation of genetic parameters for test-day milk yield in Girolando cows using a random regression model. Author(s): SANTOS, E. P. B.; FELTES, G. L.; NEGRI, R.; COBUCI, J. A.; SILVA, M. V. G. B. The objective of this study was to estimate the components of variance and genetic parameters of test-day milk yield in first lactation Girolando cows, using a random regression model. A total of 126,... ... Repository: BDPA Publication year: 2021
Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding. Author(s): ALVES, R. S.; RESENDE, M. D. V. de; ROCHA, J. R. do A. S. de C.; PEIXOTO, M. A.; TEODORO, P. E.; SILVA, F. F. e; BHERING, L. L.; SANTOS, G. A. dos An accurate, efficient and informative statistical method for analyses of genotype × environment (G × E) interactions is a key requirement for progress in any breeding program. Thus, the objective of... ... Repository: BDPA Publication year: 2020

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