Near-Infrared Spectroscopy for Assessing the Chemical Composition and Fatty Acid Profile of the Total Mixed Rations of Dairy Buffaloes DOI Creative Commons
Chiara Evangelista, Michela Contò, Loredana Basiricò

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(6), С. 3211 - 3211

Опубликована: Март 15, 2025

Near-infrared spectroscopy (NIRS) is an efficient, non-destructive method for evaluating the chemical composition of various compounds. This study aimed to assess both proximate composition, fibres, and fatty acid (FA) content Total Mixed Rations (TMRs) in dairy buffalo nutrition. A total 240 TMR samples were collected from ten farms across four seasons develop predictive models using Partial Least Squares Regression (PLSR). Calibration dry matter (DM), crude protein (CP), ether extract (EE), starch demonstrated good accuracy, with coefficients determination cross-validation (R2cv) around 0.90 Residual Predictive Deviation (RPDcv) values exceeding 3.0. Fatty showed slightly lower R2cv values, ranging 0.80 0.90. performance was observed linoleic (18:2 n-6) α-linolenic (18:3 n-3), RPDp above 3.0, indicating reliable predictions. The inclusion omega-3-rich compounds diet provides significant benefits animal health product quality, highlighting importance ration monitoring. findings confirm that while NIRS effective assessing further refinement needed improve FA prediction accuracy. These results support use as a practical tool nutritional monitoring lactating buffaloes.

Язык: Английский

Predicting the nitrogen content of mediterranean forage crops: A remote sensing approach DOI Creative Commons
Antonio Pulina, Davide Cammarano,

Francesca Piseddu

и другие.

European Journal of Agronomy, Год журнала: 2025, Номер 164, С. 127518 - 127518

Опубликована: Янв. 18, 2025

Язык: Английский

Процитировано

0
Near-Infrared Spectroscopy for Assessing the Chemical Composition and Fatty Acid Profile of the Total Mixed Rations of Dairy Buffaloes DOI Creative Commons
Chiara Evangelista, Michela Contò, Loredana Basiricò

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(6), С. 3211 - 3211

Опубликована: Март 15, 2025

Near-infrared spectroscopy (NIRS) is an efficient, non-destructive method for evaluating the chemical composition of various compounds. This study aimed to assess both proximate composition, fibres, and fatty acid (FA) content Total Mixed Rations (TMRs) in dairy buffalo nutrition. A total 240 TMR samples were collected from ten farms across four seasons develop predictive models using Partial Least Squares Regression (PLSR). Calibration dry matter (DM), crude protein (CP), ether extract (EE), starch demonstrated good accuracy, with coefficients determination cross-validation (R2cv) around 0.90 Residual Predictive Deviation (RPDcv) values exceeding 3.0. Fatty showed slightly lower R2cv values, ranging 0.80 0.90. performance was observed linoleic (18:2 n-6) α-linolenic (18:3 n-3), RPDp above 3.0, indicating reliable predictions. The inclusion omega-3-rich compounds diet provides significant benefits animal health product quality, highlighting importance ration monitoring. findings confirm that while NIRS effective assessing further refinement needed improve FA prediction accuracy. These results support use as a practical tool nutritional monitoring lactating buffaloes.

Язык: Английский

Процитировано

0