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/Mar/2011
Héliton Pandorfi, Iran José Oliveira Silva, Valéria Cristina Rodrigues Sarnighausen, Frederico Márcio Corrêa Vieira, Sheila Tavares Nascimento, Cristiane Guiselini
DOI: 10.1590/S1516-35982011000300028
The objective of this work was to evaluate the precision of Artificial Neural Networks (ANNs) to estimate zootechnical indexes, based on thermal and physiological variables of pregnant sows. This study was carried out from January to April 2005, in a swine industrial production farm in the gestation section with 27 primiparous gilts, allocated in individual pens and after on farrowing pens where it was quantified animal production indexes of piglets from the study. Therefore, an ANN backpropagation was implemented, with […]
Keywords: animal production precision; specialist systems; swine production
01/Apr/2004
Saulo da Luz e Silva, Paulo Roberto Leme, Soraia Marques Putrino, Luciane Silva Martello, César Gonçalves de Lima, Dante Pazzanese Duarte Lanna
DOI: 10.1590/S1516-35982004000200030
The objective of this work was to verify the usefullness of ultrasound to estimate the carcass backfat thickness (EGSC) at slaughter. Twenty four Brangus and 24 Nelore, intact males, were fed with diets containing 20, 40, 60 or 80% of concentrate. Ribeye area (AOLU) and backfat thickness (EGSU) between 12ª and 13ª ribs and the fat thickness over Biceps femoris muscle (EGPU) were collected with a PieMedical Scanner 200 Vet equipment, with linear array transducer of 178 mm coupled with […]
Keywords: animal production precision; beef cattle; fat thickness; feedlot; prediction equations; ribeye area