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ORIGINAL PAPER
Evaluation of near-infrared reflectance spectroscopy
(NIRS) for predicting chemical composition of
straw silage
1
College of Engineering, China Agricultural University,
Beijing 100083, China
2
Key Laboratory of Modern Precision Agriculture System Integration, Ministry of Education,
Beijing 100083, China
Publication date: 2006-04-12
Corresponding author
X. Liu
College of Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Modern Precision Agriculture System Integration, Ministry of Education, Beijing 100083, China
College of Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Modern Precision Agriculture System Integration, Ministry of Education, Beijing 100083, China
L. Han
College of Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Modern Precision Agriculture System Integration, Ministry of Education, Beijing 100083, China
College of Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Modern Precision Agriculture System Integration, Ministry of Education, Beijing 100083, China
J. Anim. Feed Sci. 2006;15(2):329-336
KEYWORDS
ABSTRACT
A representative population of 157 straw silages was used as database for studying the possibilities
of NIRS to predict chemical composition. NIRS calibrations were developed by means of modified
partial least-squares (MPLS) regression. NIRS analysis of dried straw silages provided accurate
predictions of dry matter (DM), crude protein (CP), neutral detergent fibre (NDF), acid detergent fibre
(ADF), hemicellulose, ash and lactic acid content as well as pH, with correlation coefficients of crossvalidation (R2cv) of 0.87, 0.95, 0.85, 0.84, 0.88, 0.92, 0.85 and 0.96 respectively and standard error of
cross-validation (SECV) of 23, 6, 22, 20, 14, 23, 6, 16 g kg-1DM and 0.06 g kg-1DM respectively. The
NIRS technique could also accurately predict CP content, 0.91 (SECV: 7 g kg-1DM), DM content, 0.92
(SECV: 18 g kg-1DM) and pH, 0.94 (SECV: 0.09 g kg-1DM) of fresh straw silages.
CITATIONS (10):
1.
Chemical Composition and Calorific Value Prediction of Wheat Straw at Different Maturity Stages Using Near-Infrared Reflectance Spectroscopy
Wenjuan Niu, Guangqun Huang, Xian Liu, Longjian Chen, Lujia Han
Energy & Fuels
Wenjuan Niu, Guangqun Huang, Xian Liu, Longjian Chen, Lujia Han
Energy & Fuels
2.
Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: A mini-review
Feng Xu, Jianming Yu, Tesfaye Tesso, Floyd Dowell, Donghai Wang
Applied Energy
Feng Xu, Jianming Yu, Tesfaye Tesso, Floyd Dowell, Donghai Wang
Applied Energy
3.
Prediction of the Chemical Composition and Fermentation Parameters of Winter Rye Silages by Near Infrared Spectroscopy
Hyung Soo Park, Sang Hoon Lee, Ki Choon Choi, Young Cheol Lim, Ji Hea Kim, Ki Won Lee, Gi Jun Choi
Journal of The Korean Society of Grassland and Forage Science
Hyung Soo Park, Sang Hoon Lee, Ki Choon Choi, Young Cheol Lim, Ji Hea Kim, Ki Won Lee, Gi Jun Choi
Journal of The Korean Society of Grassland and Forage Science
4.
Prediction of the Chemical Composition of Fresh Whole Crop Barley Silages by Near Infrared Spectroscopy
Hyung Soo Park, Sang Hoon Lee, Young Cheol Lim, Sung Seo, Ki Choon Choi, Ji Hea Kim, Jong Geun Kim, Gi Jun Choi
Journal of The Korean Society of Grassland and Forage Science
Hyung Soo Park, Sang Hoon Lee, Young Cheol Lim, Sung Seo, Ki Choon Choi, Ji Hea Kim, Jong Geun Kim, Gi Jun Choi
Journal of The Korean Society of Grassland and Forage Science
5.
Prediction of the degradability and ash content of wheat straw from different cultivars using near infrared spectroscopy
Sander Bruun, Jacob Wagner Jensen, Jakob Magid, Jane Lindedam, Søren Balling Engelsen
Industrial Crops and Products
Sander Bruun, Jacob Wagner Jensen, Jakob Magid, Jane Lindedam, Søren Balling Engelsen
Industrial Crops and Products
7.
Near Infrared Spectroscopy Calibration Transfer for Quantitative Analysis of Fish Meal Mixed with Soybean Meal
Guangtao Shi, Lujia Han, Zengling Yang, Longjian Chen, Xian Liu
Journal of Near Infrared Spectroscopy
Guangtao Shi, Lujia Han, Zengling Yang, Longjian Chen, Xian Liu
Journal of Near Infrared Spectroscopy
8.
Proximate analysis and calorific value estimation of rice straw by near infrared reflectance spectroscopy
C. J. Huang, L. J. Han, L. Liu, Z. L. Yang
Journal of the Energy Institute
C. J. Huang, L. J. Han, L. Liu, Z. L. Yang
Journal of the Energy Institute
9.
Prognostic Capacity Assessment of A Multiparameter Risk Score For Aerobic Stability of Maize Silage Undergoing Heterofermentative Inoculation (Lactobacillus buchneri) in Variable Ensiling Conditions
Lorenzo Serva, Igino Andrighetto, Giorgio Marchesini, Barbara Contiero, Daniel Grandis, Luisa Magrin
Animal Feed Science and Technology
Lorenzo Serva, Igino Andrighetto, Giorgio Marchesini, Barbara Contiero, Daniel Grandis, Luisa Magrin
Animal Feed Science and Technology
10.
Effect of Inoculants and Sealing Delay on the Fermentation Quality of Early Harvested Wheat Forage
Lorenzo Serva, Sarah Currò, Igino Andrighetto, Giorgio Marchesini, Luisa Magrin
Agronomy
Lorenzo Serva, Sarah Currò, Igino Andrighetto, Giorgio Marchesini, Luisa Magrin
Agronomy
| ISSN: | 1230-1388 |
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