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.
01/Dec/2004
José Braccini Neto, Martinho de Almeida e Silva, Ricardo Frederico Euclydes, Paulo Sávio Lopes, Robledo de Almeida Torres, Adair José Regazzi
DOI: 10.1590/S1516-35982004000700006
Seven populations with different genetic means and different data structures resulting from replacing 0, 10, 25, 50, 75, 90 and 100% of sires simulated by GENESYS program were used to compare the mixed-model methodology (MMM) with the GenSys methodology, according to the accuracies and predicted error variances (PEV) of the breeding values, estimated under a sire or an animal model. Under the sire model, lower accuracy and greater PEV for both methodologies were observed as selection intensity increased, due to […]
Keywords: animal model; GenSys; mixed model; sire model