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Metabolisable energy prediction in energy feedstuffs and evaluation of the step...

Oliveira,Newton Tavares Escocard de; Pozza,Paulo Cesar; Castilha,Leandro Dalcin; Pasquetti,Tiago Junior; Langer,Carolina Natali

ABSTRACT The use of predicted values of apparent metabolisable energy (AME), obtained from regression equations, can be useful for both research institutions and nutrition industries. However, there is a need to validate independent samples to ensure that the predicted equation for AME is reliable. In this study, data was collected in order to estimate the prediction equations of corn, sorghum and wheat bran fo...

Date: 2019   |   Origin: Oasisbr

Metabolizable energy in energy food for growing pigs and cross-validation regre...

Oliveira,Newton Tavares Escocard de; Pozza,Paulo Cesar; Castilha,Leandro Dalcin; Pasquetti,Tiago Junior; Langer,Carolina Natali

ABSTRACT The present study aimed to determine the apparent metabolizable energy (AME) of six corn cultivars, two sorghum cultivars and two wheat brans and to evaluate the cross-validation of predictive models of AME for corn, sorghum and wheat bran for growing pigs, as estimated from the data of chemical composition. Forty-four pigs, with an average initial weight of 24.3 kg, were distributed in a randomized bl...

Date: 2018   |   Origin: Oasisbr

EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING...

Castilho,Ricardo Araújo; Pozza,Paulo Cesar; Oliveira,Newton Tavares Escocard de; Sangali,Cleiton Pagliari; Langer,Carolina Natali; Nunes,Ricardo Vianna

ABSTRACT The prediction of metabolizable energy (ME) of meat and bone meal (MBM) for pigs is an interesting tool, however, used models to predict these values must be validated in order to garantee higher precision. The aim of this study was to determine the chemical and energetic composition of different types of MBM for pigs and to adjust and validate models to better predict the ME based on the chemical comp...

Date: 2015   |   Origin: Oasisbr

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