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Prediction of intake and average daily gain by different feeding systems forgoats

Molina de Almeida Teixera, Izabelle Auxiliadora and St-Pierre, Normand and De Resende, Kleber Tomás and Cannas, Antonello (2011) Prediction of intake and average daily gain by different feeding systems forgoats. Small Ruminant Research, Vol. 98 (1-3), p. 93-97. eISSN 1879-0941. Article.

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Abstract

A main purpose of a mathematical nutrition model (a.k.a., feeding systems) is to provide a mathematical approach for determining the amount and composition of the diet necessary for a certain level of animal productive performance. Therefore, feeding systems should be able to predict voluntary feed intake and to partition nutrients into different productive functions and performances. In the last decades, several feeding systems for goats have been developed. The objective of this paper is to compare and evaluate the main goat feeding systems (AFRC, CSIRO, NRC, and SRNS), using data of individual growing goat kids from seven studies conducted in Brazil. The feeding systems were evaluated by regressing the residuals (observed minus predicted) on the predicted values centered on their means. The comparisons showed that these systems differ in their approach for estimating dry matter intake (DMI) and energy requirements for growing goats. The AFRC system was the most accurate for predicting DMI (mean bias = 91 g/d, P < 0.001; linear bias 0.874). The average ADG accounted for a large part of the bias in the prediction of DMI by CSIRO, NRC, and, mainly, AFRC systems. The CSIRO model gave the most accurate predictions of ADG when observed DMI was used as input in the models (mean bias 12 g/d, P < 0.001; linear bias −0.229), while the AFRC was the most accurate when predicted DMI was used (mean bias 8 g/d, P < 0.1; linear bias −0.347).

Item Type:Article
ID Code:6095
Status:Published
Refereed:Yes
Uncontrolled Keywords:Average daily gain, dry matter intake, goat kids, nutrition models, nutritional requirements Article Outline
Subjects:Area 07 - Scienze agrarie e veterinarie > AGR/18 Nutrizione e alimentazione animale
Divisions:001 Università di Sassari > 01 Dipartimenti > Scienze zootecniche
Publisher:Elsevier
eISSN:1879-0941
Additional Information:Special issue on Technological development and associative attempts to a sustainable goat production, edited by Marta Suely Madruga
Deposited On:30 May 2011 10:48

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