Near-infrared spectroscopy calibrations performed on oven-dried green forages for the prediction of chemical composition and nutritive value of preserved forage for ruminants
| Autor: | William Martin-Rosset, Donato Andueza, Jocelyne Aufrere, F. Picard |
|---|---|
| Přispěvatelé: | Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Animal feed
Silage Population Forage Poaceae 01 natural sciences near-infrared Animal science hay Fodder Animals Dry matter [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering education Instrumentation Spectroscopy Mathematics 2. Zero hunger education.field_of_study Spectroscopy Near-Infrared 010401 analytical chemistry 0402 animal and dairy science Reproducibility of Results NIR spectroscopy 04 agricultural and veterinary sciences Ruminants 15. Life on land 040201 dairy & animal science Animal Feed 0104 chemical sciences global models Neutral Detergent Fiber oven-dried green forages Calibration Hay silage Nutritive Value |
| Zdroj: | Applied Spectroscopy Applied Spectroscopy, Society for Applied Spectroscopy, 2016, 70 (8), pp.1321-1327. ⟨10.1177/0003702816654056⟩ |
| ISSN: | 0003-7028 |
| Popis: | International audience; Predicting forage feed value is a vital part of estimating ruminant performances. Most near-infrared (NIR) reflectance calibration models have been developed on oven-dried green forages, but preserved forages such as hays or silages are a significant part of real-world farm practice. Fresh and preserved forages give largely similar fodder, but drying or ensiling processes could modify preserved forage spectra which would make the oven-dried green forage model unsuitable to use on preserved forage samples. The aim of this study was to monitor the performance of oven-dried green forage calibration models on a set of hay and silage to predict their nutritive value. Local and global approaches were tested and 1025 green permanent grassland forages, 46 types of hay, and 27 types of silage were used. The samples were scanned by NIR spectroscopy and analyzed for nitrogen, neutral detergent fiber, acid detergent fiber, and pepsin-cellulase dry matter digestibility (PCDMD). Local and global calibrations were developed on 975 oven-dried green forage spectra and tested on 50 samples of oven-dried green forages, 46 samples of hay, and 27 samples of silage. For oven-dried green forage and hay validation sets, Mahalanobis distance (H) between these samples and the calibration population center was lower than 3. No significant standard error of prediction differences was obtained when calibration models were applied to oven-dried green forage and hay validation sets. For silage, the H-distance was higher than 3, meaning that calibration models built from oven-dried green forages cannot be applied to silage samples. We conclude that local calibration outperforms global strategy on predicting the PCDMD of oven-dried green forages and hay. |
| Databáze: | OpenAIRE |
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