Evaluation of near-infrared reflectance spectroscopy [NIRS] for predicting chemical composition of straw silage

• Autorzy: Liu X. , Han L.J.
• Języki publikacji: EN

Abstrakty

EN

A representative population of 157 straw silages was used as database for studying the possibilities of NIRS to predict chemical composition. NIRS calibrations were developed by means of modified partial least-squares (MPLS) regression. NIRS analysis of dried straw silages provided accurate predictions of dry matter (DM), crude protein (CP), neutral detergent fibre (NDF), acid detergent fibre (ADF), hemicellulose, ash and lactic acid content as well as pH, with correlation coefficients of crossvalidation (R2 cv) of 0.87, 0.95, 0.85, 0.84, 0.88, 0.92, 0.85 and 0.96 respectively and standard error of cross-validation (SECV) of 23, 6, 22, 20, 14, 23, 6, 16 g kg-1DM and 0.06 g kg-1DM respectively. The NIRS technique could also accurately predict CP content, 0.91 (SECV: 7 g kg-1DM), DM content, 0.92 (SECV: 18 g kg-1DM) and pH, 0.94 (SECV: 0.09 g kg-1DM) of fresh straw silages.

• Wydawca: -
• Czasopismo: Journal of Animal and Feed Sciences
• Rocznik: 2006
• Tom: 15
• Numer: 2
• Opis fizyczny: p.329-336,ref.

Twórcy

autor

Liu X.

• China Agricultural University, Beijing 100083, China

autor

Han L.J.

Bibliografia

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