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.
13/Aug/2026
Ewerton Costa Sousa
, Leiliane Alves Soares da Silva
, Jonathan Lavor da Costa
, Lifranc Laurent
, José Lindenberg Rocha Sarmento
ABSTRACT This paper aims to describe and evaluate FiT, a software that streamlines the process of analysing animal growth curves. It is characterized as a web-based software, developed using the Python and R languages, that adjusts the parameters of the classical nonlinear models Brody, Von Bertalanffy, Logistic and Gompertz. These parameters are estimated using the nlsLM function from the minpack.lm package of R. For model comparison, FiT calculates the mean square of the residuals, coefficient of determination, Akaike information criterion, […]
Keywords: asymptotic point; growth rate; inflection point; nonlinear models; nonlinear regression