Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/6015
Título: Prediction of apparent digestibility of hays from natural pastures of the Northeast region of Portugal
Autor: Galvão, Lurdes
Guedes, C.M.
Rodrigues, M.A.M.
Silva, S.R.
Valentim, Ramiro
Moreira, Olga
Ribeiro, José Ramalho
Sequeira, C.A.
Palavras-chave: In vitro digestibility
In vivo digestibility
Meadow hays
Pepsin-cellulase
Data: 2008
Editora: Fundación CIPAV
Citação: Galvão, Lurdes; Guedes, C.M.; Rodrigues, M.A.M.; Silva, S.R.; Valentim, Ramiro; Moreira, O.C.; Ribeiro, J.R.; Sequeira, C.A. (2008) - Prediction of apparent digestibility of hays from natural pastures of the Northeast region of Portugal. Livestock Research for Rural Development. ISSN 0121-3784. 20:8
Resumo: In the Northeast region of Portugal hays from natural pastures are traditionally used as the main feed during the period of drought and the evaluation of its nutritive value is essential. The aim of this study was to predict the apparent organic matter digestibility (OMD) of 21 hays from natural pastures based on chemical composition, pepsin-cellulase solubility of organic matter (OMS) and in vitro organic matter digestibility. Chemical composition of hays showed a wide range of values and acid detergent lignin (ADL) was the component that presented the highest variation (CV = 18.4%). The OMD varied between 516 and 658 g/kg OM. The best single OMD predictor was OMS (RSD = 2.8%, R2 = 0.52, P<0.001). Using multiple regression to predict OMD, the variables included in the model were OMS and ADL (OMD = 21.51 + 0.94 OMS – 0.83 ADL; RSD = 2.75%; R2 = 0.54; P<0.0001). According to principal component analysis (PCA) hays were divided in 3 groups and the multiple regression established for the larger group of hays (n=10) was: OMD = 4.13 + 0.85 OMS – 1.03 ADL; RSD = 2.13%, R2 = 0.77, P<0.0001. The OMS method was superior to chemical composition and to the in vitro rumen fluid method in predicting OMD of hays from natural pastures. Results from PCA suggested that it may be useful to group these hays according to its chemical composition to accurately predict OMD.
Peer review: yes
URI: http://hdl.handle.net/10198/6015
ISSN: 0121-3784
Versão do Editor: http://www.lrrd.org/lrrd20/8/galv20124.htm
Aparece nas colecções:CA - Artigos em Revistas Não Indexados ao ISI/Scopus

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