PREDICTION OF THE NUTRITIVE VALUE OF PASTURE SILAGE BY NEAR INFRARED SPECTROSCOPY (NIRS)

被引:0
作者
Restaino, Ernesto A. [2 ]
Fernandez, Enrique G. [2 ]
La Manna, Alejandro [2 ]
Cozzolino, Daniel [1 ]
机构
[1] Australian Wine Res Inst, Glen Osmond, SA 5064, Australia
[2] Inst Nacl Invest Agropecuaria La Estanzucla, Estac Expt Alberto Boerger, Colonia, Uruguay
关键词
silage; nutritive value; near infrared reflectance spectroscopy; pastures; REFLECTANCE SPECTROSCOPY; GRASS-SILAGE; CHEMICAL-COMPOSITION; DIGESTIBILITY;
D O I
暂无
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The aim of this study was to investigate the use of near infrared reflectance (NIRS) spectroscopy to predict the nutritive value of silages from pastures and to assess the effect of silage structure type (e. g. bunker and bag silos) on the NIRS predictions. Samples (n = 120) were sourced from commercial farms and analyzed in a NIRS monochromator instrument (NIR Systems, Silver Spring, Maryland, USA) using wavelengths between 400 and 2500 nm in reflectance. Calibration models were developed between chemical and NIRS spectral data using partial least squares (PLS) regression. The coefficients of determination in calibration (R-2) and the standard error in cross validation (SECV) were 0.73 (SECV: 1.2%), 0.81 (SECV: 2.0%), 0.75 (SECV: 6.6%), 0.80 (SECV: 6.7%), 0.80 (SECV: 4.0%), 0.60 (SECV: 3.6%) and 0.70 (SECV: 0.34) for ash, crude protein (CP), neutral detergent fiber (NDF), dry matter (DM), acid detergent fiber (ADF), in vitro dry matter digestibility (IVDMD) and pH, respectively. The results showed the potential of NIRS to analyze DM, ADF and CP in silage samples from pastures.
引用
收藏
页码:560 / 566
页数:7
相关论文
共 50 条
[31]   Prediction of chemical composition and peroxide value in unground pet foods by near-infrared spectroscopy [J].
De Marchi, M. ;
Righi, F. ;
Meneghesso, M. ;
Manfrin, D. ;
Ricci, R. .
JOURNAL OF ANIMAL PHYSIOLOGY AND ANIMAL NUTRITION, 2018, 102 (01) :337-342
[32]   Prediction of crude protein and neutral detergent fibre concentration in residues of in situ ruminal degradation of pasture samples by near-infrared spectroscopy (NIRS) [J].
Keim, J. P. ;
Charles, H. ;
Alomar, D. .
ANIMAL PRODUCTION SCIENCE, 2016, 56 (09) :1504-1511
[33]   Evaluation of Near Infrared Spectroscopy (NIRS) and Remote Sensing (RS) for Estimating Pasture Quality in Mediterranean Montado Ecosystem [J].
Serrano, Joao ;
Shahidian, Shakib ;
da Silva, Jose Marques ;
Paixao, Luis ;
Carreira, Emanuel ;
Carmona-Cabezas, Rafael ;
Nogales-Bueno, Julio ;
Rato, Ana Elisa .
APPLIED SCIENCES-BASEL, 2020, 10 (13)
[34]   Prediction of pork quality with near infrared spectroscopy (NIRS) 1. Feasibility and robustness of NIRS measurements at laboratory scale [J].
Kapper, C. ;
Klont, R. E. ;
Verdonk, J. M. A. J. ;
Urlings, H. A. P. .
MEAT SCIENCE, 2012, 91 (03) :294-299
[35]   Screening of dairy powders by near infrared spectroscopy (NIRS) [J].
de Ruyck, H. ;
Van Waes, C. ;
de Ridder, H. ;
van Royen, G. ;
Merchiers, M. ;
de Block, J. .
MILCHWISSENSCHAFT-MILK SCIENCE INTERNATIONAL, 2011, 66 (04) :393-395
[36]   Use of near infrared reflectance spectroscopy (NIRS) for the prediction of the chemical composition and nutritional attributes of green crop cereals [J].
Bruno-Soares, AM ;
Murray, I ;
Paterson, RM ;
Abreu, JMF .
ANIMAL FEED SCIENCE AND TECHNOLOGY, 1998, 75 (01) :15-25
[37]   Prediction of pH and color in pork meat using VIS-NIR Near-infrared Spectroscopy (NIRS) [J].
Granemann Furtado, Elton Jhones ;
Bridi, Ana Maria ;
Barbin, Douglas Fernandes ;
Pinheiro Barata, Catia Chilanti ;
Peres, Louise Manha ;
Ayub da Costa Barbon, Ana Paula ;
Andreo, Nayara ;
Giangareli, Barbara de Lima ;
Terto, Daniela Kaiser ;
Batista, Joao Paulo .
FOOD SCIENCE AND TECHNOLOGY, 2019, 39 (01) :88-92
[38]   Proximate Analysis of Straw by Near Infrared Spectroscopy (NIRS) [J].
Huang Cai-jin ;
Han Lu-jia ;
Liu Xian ;
Yang Zeng-ling .
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29 (04) :960-963
[39]   Visible and near infrared spectroscopy of beef longissimus dorsi muscle as a means of dicriminating between pasture and corn silage feeding regimes [J].
Cozzolino, D ;
Martins, V ;
Murray, I .
JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2002, 10 (03) :187-193
[40]   Evaluation of prediction of barley digestible nutrient content with near-infrared reflectance spectroscopy (NIRS) [J].
Pujol, S. ;
Perez-Vendrell, A. M. ;
Torrallardona, D. .
LIVESTOCK SCIENCE, 2007, 109 (1-3) :189-192