Predicting Energy Values of Feeds

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Development of equations for predicting metabolisable energy concentrations in compound feeds for pigs.

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Laboratory variation of 24 h in vitro gas production and estimated metabolizable energy values of ruminant feeds

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Application of Artificial Neural Network and Support Vector Machines in Predicting Metabolizable Energy in Compound Feeds for Pigs

BACKGROUND In the nutrition literature, there are several reports on the use of artificial neural network (ANN) and multiple linear regression (MLR) approaches for predicting feed composition and nutritive value, while the use of support vector machines (SVM) method as a new alternative approach to MLR and ANN models is still not fully investigated. METHODS The MLR, ANN, and SVM models were d...

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Determinants of energy density with conventional foods and artificial feeds.

The energy densities of conventional foods (Paul & Southgate, 1978) and artificial feeds (Livesey & Elia, 1985~) are usually calculated from their compositions, i.e. protein, fat and carbohydrate contents, and the energy conversion factors for these components. Most often the factors are metabolizable energy (ME) values; that is an amount of energy thought useful for doing physical or metabolic...

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Studies on the energy content of pigeon feeds I. Determination of digestibility and metabolizable energy content.

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ژورنال

عنوان ژورنال: Journal of Dairy Science

سال: 1993

ISSN: 0022-0302

DOI: 10.3168/jds.s0022-0302(93)77512-8