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Genetic correlation for pre-weaning and post-weaning traits of Mediterranean buffaloes from Brazil, estimated by Bayesian inference

State University of Southwest Bahia; Universidade Estadual Paulista (UNESP); University of Maryland; Federal Institute IF (2013-12-01)

The aim of this study was to estimate genetic, environmental and phenotypic correlation between birth weight (BW) and weight at 205 days age (W205), BW and weight at 365 days age (W365) and W205-W365, using Bayesian ...

Genetic Correlation for Pre-Weaning and Post-Weaning Traits of Mediterranean Buffaloes from Brazil, Estimated By Bayesian Inference

State Univ Southwest Bahia; Universidade Estadual Paulista (Unesp); University of Maryland; Fed Inst IF (Int Buffalo Information Ctr, 2013-01-01)

Simulating Large Gaussian Random Vectors Subject to Inequality Constraints by Gibbs Sampling

Emery, Xavier; Arroyo, Daisy; Peláez, María (Springer, 2014)

The Gibbs sampler is an iterative algorithm used to simulate Gaussian random vectors subject to inequality constraints. This algorithm relies on the fact that the distribution of a vector component conditioned by the ...

Genetic Correlation for Pre-Weaning and Post-Weaning Traits of Mediterranean Buffaloes from Brazil, Estimated By Bayesian Inference

Falleiro, Vanius; Silveira, E. S.; Ramos, A. A.; Carneiro, P. L. S.; Carrillo, J. A.; Malhado, C. H. M. (Int Buffalo Information Ctr, 2014)

Genetic Parameters for Growth Traits of Mediterranean Buffaloes from Brazil, Estimated By Bayesian Inference

Falleiro, Vanius; Silveira, E. S.; Ramos, A. A.; Carneiro, P. L. S.; Carrillo, J. A.; Malhado, C. H. M. (Int Buffalo Information Ctr, 2014)

Genomic prediction models for count data

Montesinos-López, O.A.; Montesinos-López, A.; Pérez-Rodríguez, P.; Eskridge, K.; Xinyao He; Juliana, P.; Singh, P.; Crossa, J. (Springer VerlagAmerican Statistical AssociationInternational Biometrics Society, 2019)

Productive and reproductive traits in Murrah breed from Brazil

Ramos, Alcides Amorim [UNESP]; Malhado, C. H. M.; Malhado, A. C. M.; Carneiro, P. L. S.; Souza, J. C.; Pala, A. (Int Buffalo Information Ctr, 2014)

Genetic parameters for test-day fat yield estimated by random regression models in dairy buffaloes using bayesian inference

Federal University of Viçosa; Universidade Estadual Paulista (UNESP) (2013-12-01)

This study modeled variations in test-day fat yield of first lactation of Buffaloes cows by random regression model (RRM) fitted by Legendre orthogonal polynomials (LOP) compared to 3 alternatives models fitting B-splines. ...

Genetic parameters of total milk yield and factors describing the shape of lactation curve in dairy buffaloes

Aspilcueta-Borquis, Rusbel R.; Baldi, Fernando; Araujo Neto, Francisco R.; Albuquerque, Lucia Galvão de; Munoz-Berrocal, Milthon; Tonhati, Humberto (Cambridge University Press, 2014)

Bayesian Analysis Of Censored Linear Regression Models With Scale Mixtures Of Normal Distributions

Garay; Aldo M.; Bolfarine; Heleno; Lachos; Victor H.; Cabral; Celso R. B. (TAYLOR & FRANCIS LTDABINGDON, 2015)

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Genetic correlation for pre-weaning and post-weaning traits of Mediterranean buffaloes from Brazil, estimated by Bayesian inference

Genetic Correlation for Pre-Weaning and Post-Weaning Traits of Mediterranean Buffaloes from Brazil, Estimated By Bayesian Inference

Simulating Large Gaussian Random Vectors Subject to Inequality Constraints by Gibbs Sampling

Genetic Correlation for Pre-Weaning and Post-Weaning Traits of Mediterranean Buffaloes from Brazil, Estimated By Bayesian Inference

Genetic Parameters for Growth Traits of Mediterranean Buffaloes from Brazil, Estimated By Bayesian Inference

Genomic prediction models for count data

Productive and reproductive traits in Murrah breed from Brazil

Genetic parameters for test-day fat yield estimated by random regression models in dairy buffaloes using bayesian inference

Genetic parameters of total milk yield and factors describing the shape of lactation curve in dairy buffaloes

Bayesian Analysis Of Censored Linear Regression Models With Scale Mixtures Of Normal Distributions