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.
17/Jul/2026
Lázaro Henrique da Silva
, Caio Matheus Leite da Silva
, Erick Galani Maziero
, Daniel Rume Casagrande
, Marina de Arruda Camargo Danes
ABSTRACT The use of digital technologies and wearable sensors has advanced in precision livestock farming. However, there is still no clear definition of the most suitable models for the use of sensors in grazing animals, especially under tropical systems. Thus, we aimed to compare the performance of six predictive models for grazing cattle behavior and to evaluate different testing strategies. The study was conducted in a pasture area, using nine Tabapuã heifers monitored by triaxial accelerometers attached to the nape, […]
Keywords: animal welfare; machine learning; precision livestock; sensor; smart farming
22/Nov/2022
Fabricio Murilo Beker
, Ismael França
, Júlia Tomas
, Helloa Alaide Siqueira
, Gustavo Freire Resende Lima
, Guilherme Rizzoto
, [...]
ABSTRACT The objective of this study was to characterize and understand the investment profile towards technologies for control and automation of climate control on swine farms, focused on integrated producers on the same integration system. A structured questionnaire including open, dichotomic, or multiple-choice questions was responded by 190 integrated producers classified as nursery (28,300 swines), wean-to-finish (WTF; 144,388 swines), or finishing unit (FU; 164,185 swines) farms. Data were described and categorized according to the type of integrated producer (nursery, WTF, […]
Keywords: automation technology; pig farming innovation; pig production; smart farming; structured survey