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Development of models for predicting the nutritional requirements for growing goats

Grant number: 14/14734-9
Support type:Regular Research Grants
Duration: November 01, 2014 - June 30, 2017
Field of knowledge:Agronomical Sciences - Animal Husbandry
Principal Investigator:Izabelle Auxiliadora Molina de Almeida Teixeira
Grantee:Izabelle Auxiliadora Molina de Almeida Teixeira
Home Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
Assoc. researchers:Kléber Tomás de Resende
Associated grant(s):15/50444-8 - Improving our understanding of nutritional requirements to reduce environmental impact of livestock, AP.R

Abstract

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 Brazilian 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 aptitude. Another factor to be considered for estimating nutrient requirements is the prediction of dry matter intake (DMI), because it has been done with low accuracy and precision, based on data collected in different environment 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, protein and macro minerals for growing goats. For this, it will be used a database comprising individual data of 564 animals from studies conducted in Brazil between 1989 and 2014. For developing the models it will be evaluate the variables that show the best fit to estimate DMI. The energy requirements for maintenance will be estimated from the heat production when the metabolizable energy intake is equal to zero. The mineral and protein requirements for maintenance will be considered as their retentions to zero intake level. The energy, protein and mineral requirements for growth will be estimated by linear and non-linear allometric model, and their bias will be evaluated. For the development of linear models will be used PROC MIXED and for nonlinear model the PROC NLINMIX of SAS. The sensibility of the models will be analyzed using the MCMC technique. Moreover, the models will be evaluated using criteria such as R2, coefficient of concordance correlation, the prediction meansquare error and its decomposition into mean bias and linear bias. (AU)

Scientific publications (7)
(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)
TEIXEIRA, IZABELLE A. M. A.; ALMEIDA, AMELIA K.; FERNANDES, MARCIA H. M. R.; RESENDE, KLEBER T. Applying the California net energy system to growing goats. TRANSLATIONAL ANIMAL SCIENCE, v. 3, n. 3, p. 999-1010, JUN 2019. Web of Science Citations: 0.
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.
CASTILLO VARGAS, JULIAN ANDRES; ALMEIDA, AMELIA KATIANE; HARTER, CARLA JOICE; SOUZA, ANAIANE PEREIRA; MACHADO DA ROCHA FERNANDES, MARCIA HELENA; DE RESENDE, KLEBER TOMAS; MOLINA DE ALMEIDA TEIXEIRA, IZABELLE AUXILIADORA. Multivariate relationship among body protein, fat, and macrominerals of male and female Saanen goats using canonical correlation analysis. REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, v. 47, 2018. Web of Science Citations: 0.
JULIÁN ANDRÉS CASTILLO VARGAS; AMÉLIA KATIANE ALMEIDA; CARLA JOICE HÄRTER; ANAIANE PEREIRA SOUZA; MÁRCIA HELENA MACHADO DA ROCHA FERNANDES; KLÉBER TOMÁS DE RESENDE; IZABELLE AUXILIADORA MOLINA DE ALMEIDA TEIXEIRA. Multivariate relationship among body protein, fat, and macrominerals of male and female Saanen goats using canonical correlation analysis. REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, v. 47, p. -, 2018.
CAMPOS, LETICIA MARRA; ALMEIDA, AMELIA KATIANE; BIAGIOLI, BRUNO; RESENDE, KLEBER TOMAS; MOLINA ALMEIDA TEIXEIRA, IZABELLE AUXILIADORA. Predicting empty body weight in growing goats: A meta-analytic approach. Small Ruminant Research, v. 155, p. 45-50, OCT 2017. Web of Science Citations: 1.
VARGAS, J. A. C.; ALMEIDA, A. K.; SOUZA, A. P.; FERNANDES, M. H. M. R.; RESENDE, K. T.; TEIXEIRA, I. A. M. A. Sex effects on macromineral requirements for growth in Saanen goats: A meta-analysis. JOURNAL OF ANIMAL SCIENCE, v. 95, n. 10, p. 4646-4657, OCT 2017. Web of Science Citations: 2.
SOUZA, A. P.; ST-PIERRE, N. R.; FERNANDES, M. H. R. M.; ALMEIDA, A. K.; VARGAS, J. A. C.; RESENDE, K. T.; TEIXEIRA, I. A. M. A. Sex effects on net protein and energy requirements for growth of Saanen goats. JOURNAL OF DAIRY SCIENCE, v. 100, n. 6, p. 4574-4586, JUN 2017. Web of Science Citations: 3.

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