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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
Persistence in milk, fat and protein production of primiparous Holstein cows by random regression models. Author(s): BIASSUS, I. de O.; COBUCI, J. A.; COSTA, C. N.; RORATO, N.; BRACCINI NETO, J.; CARDOSO, L. L. Total numbers of 56,508, 35,091 and 8,326 records of milk, fat, and protein test-day yields, respectively, were used to estimate genetic parameters for six persistency measures on milk, fat and protei... ... Repository: BDPA Publication year: 2010
Linear, generalized, hierarchical, bayesian and random regression mixed models in genetics/genomics in plant breeding. Author(s): RESENDE, M. D. V. de; ALVES, R. S. This paper presents the state of the art of the statistical modelling as applied to plant breeding. Classes of inference, statistical models, estimation methods and model selection are emphasized in a... ... Repository: BDPA Publication year: 2020
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
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
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
Random regression models are suitable to substitute the traditional 305-day lactation model in genetic evaluations of holstein cattle in Brazil. Author(s): PADILHA, A. H.; COBUCI, J.; COSTA, C. N.; BRACCINI NETO, J. The aim of this study was to compare two random regression models (RRM) fitted by fourth (RRM4) and fifth-order Legendre polynomials (RRM5) with a lactation model (LM) for evaluating Holstein cattle i... ... Repository: BDPA Publication year: 2015
Modeling of average growth curve in Santa Ines sheep using random regression models. Author(s): SAMENTO, J. L. R.; TORRES, R. de A.; SOUSA, W. H. de; ALBUQUERQUE, L. G. de; LOBO, R. N. B.; SOUSA, J. E. R. de Abstract: Polynomial functions of age of different orders were evaluated in the modeling of the average growth trajectory in Santa Ines sheep in random regression models. Initially, the analyses were... ... Repository: BDPA Publication year: 2011

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