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
[21]   Prediction of the chemical composition and nutritive value of lucerne (Medicago sativa L.) by Near Infrared Spectroscopy [J].
Colombini, S. ;
Confalonieri, M. ;
Borreani, G. ;
Tabacco, E. ;
Peiretti, P. G. ;
Odoardi, M. .
ITALIAN JOURNAL OF ANIMAL SCIENCE, 2005, 4 :141-143
[22]   Predicting the nutritive value of high moisture grain corn by near infrared reflectance spectroscopy [J].
Fassio, A. ;
Fernandez, E. G. ;
Restaino, E. A. ;
La Manna, A. ;
Cozzolino, D. .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2009, 67 (1-2) :59-63
[23]   Prediction of the nutritive value of whole plants and morphological fractions of forage sunflower by near-infrared reflectance spectroscopy and empirical equations [J].
Pereira-Crespo, Sonia ;
Botana, Adrian ;
Veiga, Marcos ;
Gonzalez, Laura ;
Resch, Cesar ;
Lorenzana, Roberto ;
Martinez-Diz, Maria del Pilar ;
Plata-Reyes, Dalia Andrea ;
Flores-Calvete, Gonzalo .
INTERNATIONAL JOURNAL OF AGRICULTURE AND NATURAL RESOURCES, 2023, 50 (02) :46-57
[24]   Prediction of fermentation parameters in grass and corn silage by near infrared spectroscopy [J].
Sorensen, LK .
JOURNAL OF DAIRY SCIENCE, 2004, 87 (11) :3826-3835
[25]   Nutritive evaluation of forages by near infrared reflectance spectroscopy [J].
Andrés, S ;
Murray, I ;
Calleja, A ;
Giráldez, FJ .
JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2005, 13 (06) :301-311
[26]   Near-infrared spectroscopy (NIRS) for a real time monitoring of the biogas process [J].
Stockl, Andrea ;
Lichti, Fabian .
BIORESOURCE TECHNOLOGY, 2018, 247 :1249-1252
[27]   Effect of Lactobacillus buchneri on the nutritive value of Sucrosorgo 506 bagasse silage [J].
Wilk, M. ;
Krol, B. ;
Slupczynska, M. ;
Sowinski, J. ;
Antoszkiewicz, Z. .
JOURNAL OF ANIMAL AND FEED SCIENCES, 2020, 29 (02) :158-166
[28]   Prediction of the chemical composition of pig feces and ileal digesta by near-infrared reflectance spectroscopy (NIRS) [J].
Cruz, Ricardo Ramos ;
Gutierrez, Ricardo Basurto ;
Rodriguez, Ericka Ramirez ;
de Souza, Tercia Cesaria Reis ;
Landin, Gerardo Mariscal .
REVISTA MEXICANA DE CIENCIAS PECUARIAS, 2023, 14 (03) :488-504
[29]   The development of near-infrared spectroscopy (NIRS) calibration for prediction of ash content in legumes on the basis of two different reference methods [J].
Pojic, Milica ;
Mastilovic, Jasna ;
Palic, Dragan ;
Pestoric, Mladenka .
FOOD CHEMISTRY, 2010, 123 (03) :800-805
[30]   The potential of near infrared spectroscopy (NIRS) to measure the chemical composition of aquaculture solid waste [J].
Galasso, Helena Lopes ;
Callier, Myriam D. ;
Bastianelli, Denis ;
Blancheton, Jean-Paul ;
Aliaume, Catherine .
AQUACULTURE, 2017, 476 :134-140