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| 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 block design, with 11 treatments (ten food treatments and the reference diet), four replicates and one pig per experimental unit. The reference diet was replaced by 30% for the ground corn and sorghum conditions and 20% for the wheat bran condition. The values of AME for corn, sorghum and wheat meal for pigs ranged from 3161 to 3275, 3317 to 3457 and... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Bootstrap; Chemical composition; Metabolizability coefficient; Total excreta collection. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100150 |
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| 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 for pig feed, based on the chemical composition, in addition to evaluating the validity of the stepwise selection procedure regressive method of non-parametric bootstrap resampling. Data from metabolism trials in pigs and the chemical composition of feedstuffs was collected from both Brazilian and international literature, expressed as dry matter.... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Chemical composition; Corn; Meta-analysis; Pigs; Regression models. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000100131 |
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| 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 composition. Thirty-two barrows, averaging an initial weight of 26.75 ± 1.45 kg, were individually allotted in a randomized block design with eight treatments and four replicates. The treatments consisted of seven types of MBM that replaced 20% of the basal diet. A stepwise procedure was the statistical procedure used to adjust the prediction equations... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Chemical composition; Regression equation; Slaughterhouse by-products. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542015000600565 |
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