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Development of models for predicting the energy and protein requirements for growing goats

Grant number: 14/14939-0
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): November 01, 2014
Effective date (End): October 31, 2017
Field of knowledge:Agronomical Sciences - Animal Husbandry
Cooperation agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
Principal Investigator:Kléber Tomás de Resende
Grantee:Amélia Katiane de Almeida
Home Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
Associated scholarship(s):15/22600-5 - A dynamic model to predict dry matter intake associated with fat and protein fluxes in growing goats, BE.EP.PD

Abstract

The knowledge of the nutritional requirements is essential for optimal animal production. Considering its importance, several studies were conducted in order to determine the nutrient requirements for goats on national conditions. Despite this effort, it is still possible to verify the need for a comprehensive study on the requirements of growing goats, especially considering the influence of factors such as gender, stage of growth and productive ability. Another factor to be considered for estimating nutrient requirements is the prediction of dry matter intake (DMI), because this has been done with low accuracy and precision, based on data collected in different weather conditions or even extrapolated from other species. Thus the aim of this study is to develop models to estimate dry matter intake and the requirements of energy and protein for growing goats. For this, it will be used database from individual data of 564 animals from studies conducted between 1989 and 2014 in Brazil. It will be performed a lifting of the variables that are related with the estimation of CMS for developing the models. The requirements of energy for maintenance will be estimated from the heat production when the metabolizable energy intake is equal to zero. The requirements of protein for maintenance will be considered as their retentions to zero intake level. The requirements of energy and protein for growth will be estimated by linear and non-linear allometric model, and their bias will be evaluated. For the development of linear equations will be used PROC MIXED and for nonlinear equations the PROC NLINMIX of SAS. The sensibility of the models will be analyzed using the MCMC technique. Moreover, the models are evaluated using criteria such as R2, coefficient of concordance correlation, the prediction mean square error and its decomposition into mean bias and systematic bias. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DE ALMEIDA, AMELIA KATIANE; TEDESCHI, LUIS ORLINDO; DE RESENDE, KLEBER TOMAS; BIAGIOLI, BRUNO; CANNAS, ANTONELLO; MOLINA DE ALMEIDA TEIXEIRA, IZABELLE AUXILIADORA. Prediction of voluntary dry matter intake in stall fed growing goats. LIVESTOCK SCIENCE, v. 219, p. 1-9, JAN 2019. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.