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

来源：

CHILEAN JOURNAL OF AGRICULTURAL RESEARCH | 2009年 / 69卷 / 04期

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

页码：560 / 566

页数：7

共 23 条

[1] Effect of freezing and grinding method on near-infrared reflectance (NIR) spectra variation and chemical composition of fresh silage [J].

Alomar, D ;

Montero, R ;

Fuchslocher, R .

ANIMAL FEED SCIENCE AND TECHNOLOGY, 1999, 78 (1-2) :57-63

[2]

Alomar D., 1998, Agro Sur, V26, P88

[3] STANDARD NORMAL VARIATE TRANSFORMATION AND DE-TRENDING OF NEAR-INFRARED DIFFUSE REFLECTANCE SPECTRA [J].

BARNES, RJ ;

DHANOA, MS ;

LISTER, SJ .

APPLIED SPECTROSCOPY, 1989, 43 (05) :772-777

[4]

Cozzolino D., 2003, Agricultura Tecnica, V63, P387

[5]

Cozzolino D, 2001, J SCI FOOD AGR, V81, P142, DOI 10.1002/1097-0010(20010101)81:1<142::AID-JSFA790>3.0.CO

[6]

2-I

[7] Multivariate calibration and chemometrics for near infrared spectroscopy: which method? [J].

Dardenne, P ;

Sinnaeve, G ;

Baeten, V .

JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2000, 8 (04) :229-237

[8]

Deaville ER, 2000, FORAGE EVALUATION IN RUMINANT NUTRITION, P301, DOI 10.1079/9780851993447.0301

[9] Prediction of the feeding value of grass silages by chemical parameters, in vitro digestibility and near-infrared reflectance spectroscopy [J].

DeBoever, JL ;

Cottyn, BG ;

DeBrabander, DL ;

Vanacker, JM ;

Boucque, CV .

ANIMAL FEED SCIENCE AND TECHNOLOGY, 1996, 60 (1-2) :103-115

[10] The current and future role of near infrared reflectance spectroscopy in animal nutrition: a review [J].

Givens, DI ;

Deaville, ER .

AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH, 1999, 50 (07) :1131-1145

← 1 2 3 →