The Revista Brasileira de Zootecnia (RBZ) is a publication dedicated to the broad field of Animal Science. We publish high-quality, original scientific research that spans across diverse areas within the discipline. The scope of RBZ encompasses a wide range of topics, including aquaculture, biometeorology and animal welfare, forage crops and grasslands, animal and forage plants breeding and genetics, animal reproduction, ruminant and non-ruminant nutrition, meat science and muscle biology, precision livestock, and animal production systems and agribusiness.
The Revista Brasileira de Zootecnia (RBZ) is a publication dedicated to the broad field of Animal Science. We publish high-quality, original scientific research that spans across diverse areas within the discipline. The scope of RBZ encompasses a wide range of topics, including aquaculture, biometeorology and animal welfare, forage crops and grasslands, animal and forage plants breeding and genetics, animal reproduction, ruminant and non-ruminant nutrition, meat science and muscle biology, precision livestock, and animal production systems and agribusiness.
The Revista Brasileira de Zootecnia (RBZ) is a publication dedicated to the broad field of Animal Science. We publish high-quality, original scientific research that spans across diverse areas within the discipline. The scope of RBZ encompasses a wide range of topics, including aquaculture, biometeorology and animal welfare, forage crops and grasslands, animal and forage plants breeding and genetics, animal reproduction, ruminant and non-ruminant nutrition, meat science and muscle biology, precision livestock, and animal production systems and agribusiness.
Random regression models were used to estimate genetic parameters for test-day milk yield (PLDC) of Alpine dairy goats, implemented by Bayesian methods with Gibbs Sampling. The estimates were compared with those obtained by random regression analysis, using REML. Heritability estimates obtained by Bayesian analysis ranged from 0.18 to 0.37, while those obtained by REML ranged from 0.09 to 0.32. Genetic correlations between yields of close test days approached the unit, but decreased gradually as the interval between test days increased. Results indicated that random regression models are appropriate to model the covariance structure of PLDC and to predict genetic gains and select animals along the lactation trajectory of dairy goats. Results obtained by Bayesian and REML approaches were similar, although genetic variance and heritability estimates were slightly higher with Bayesian methods.
Estimation of genetic parameters for milk yield of dairy goats by random regression analysis using Gibbs Sampling
Assis,Giselle Mariano Lessa de and Albuquerque,Lucia Galvão de and Sarmento,José Lindenberg Rocha and Júnior,José Marques Carneiro and Lopes,Paulo Sávio and Rodrigues,Marcelo Teixeira. Estimation of genetic parameters for milk yield of dairy goats by random regression analysis using Gibbs Sampling. R. Bras. Zootec. [online]. 2006, vol.35, 3, [cited 2026-03-08], pp.706-714. Available from: <https://rbz.org.br/article/estimation-of-genetic-parameters-for-milk-yield-of-dairy-goats-by-random-regression-analysis-using-gibbs-sampling/>. ISSN 1516-3598. https://doi.org/10.1590/S1516-35982006000300011.
Assis,Giselle Mariano Lessa de; Albuquerque,Lucia Galvão de; Sarmento,José Lindenberg Rocha; Júnior,José Marques Carneiro; Lopes,Paulo Sávio; Rodrigues,Marcelo Teixeira. Estimation of genetic parameters for milk yield of dairy goats by random regression analysis using Gibbs Sampling. R. Bras. Zootec., v.35, 3, p. 706-714. Jun. 2006. Available from: <https://rbz.org.br/article/estimation-of-genetic-parameters-for-milk-yield-of-dairy-goats-by-random-regression-analysis-using-gibbs-sampling/>. acess on 08 Mar. 2026. https://doi.org/10.1590/S1516-35982006000300011.
Assis,Giselle Mariano Lessa de, & Albuquerque,Lucia Galvão de, & Sarmento,José Lindenberg Rocha, & Júnior,José Marques Carneiro, & Lopes,Paulo Sávio, & Rodrigues,Marcelo Teixeira. (2006). Estimation of genetic parameters for milk yield of dairy goats by random regression analysis using Gibbs Sampling. R. Bras. Zootec., 35(3) , 706-714. https://doi.org/10.1590/S1516-35982006000300011.
AssisGiselle Mariano Lessa de, AlbuquerqueLucia Galvão de, SarmentoJosé Lindenberg Rocha, JúniorJosé Marques Carneiro, LopesPaulo Sávio, RodriguesMarcelo Teixeira. Estimation of genetic parameters for milk yield of dairy goats by random regression analysis using Gibbs Sampling. R. Bras. Zootec. [Internet]. 2006 Jun [cited 2026 Mar 08]; 35(3): 706-714. Available from: https://rbz.org.br/article/estimation-of-genetic-parameters-for-milk-yield-of-dairy-goats-by-random-regression-analysis-using-gibbs-sampling/. https://doi.org/10.1590/S1516-35982006000300011.
Figure 3
Ruminal disappearance of ash-free neutral detergent fiber (aNDFom) at 30 h of in situ incubation in corn husks (fresh and ensiled) treated with calcium oxide (CaO) and a mixture of corn heavy steep water and sugarcane molasses (HM).
