Prediction of Chemical Composition in Forage Paddy Rice Using Near Infrared Reflectance Spectroscopy
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- Xu Chun cheng
- National Institute of Livestock and Grassland Science
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- Cai Yimin
- National Institute of Livestock and Grassland Science
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- Amari Masahiro
- National Institute of Livestock and Grassland Science
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- Murai Masaru
- (Present address)National Agricultural Research Center for Hokkaido Region
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- Ogawa Masuhiro
- National Institute of Livestock and Grassland Science
Bibliographic Information
- Other Title
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- 近赤外分析法による飼料イネの飼料成分推定
- キンセキガイ ブンセキホウ ニ ヨル シリョウ イネ ノ シリョウ セイブン スイテイ
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Description
Near infrared reflectance spectroscopy (NIRS) was used to predict chemical composition of forage paddy rice samples (n=191). A hundred and sixteen samples were selected for calibration development, and remaining samples were used for equation validation. NIRS accurately predicted the crude protein (CP), dry matter (DM), Organic matter (OM), organic cellular contents (OCC), organic cell wall (OCW), and low digestible fiber (Ob) content of these samples, but prediction of high digestible fiber (Oa) was markedly less accurate. The coefficients of determination and standard errors of calibration for CP, DM, OM, OCW, OCC and Ob were as follows : 0.98 and 0.33, 0.98 and 0.27, 0.95 and 0.54, 0.93 and 2.47, 0.94 and 2.64, 0.94 and 2.08. The present result in this study indicated that CP, DM, OM, OCW and Ob contents in forage paddy rice can be predicted by using NIRS techniques with an acceptable accuracy.
Journal
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- Japanese Journal of Grassland Science
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Japanese Journal of Grassland Science 51 (2), 179-183, 2005
Japanese Society of Grassland Science
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Details 詳細情報について
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- CRID
- 1390282680731565824
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- NII Article ID
- 110003851065
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- NII Book ID
- AN00194108
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- ISSN
- 21886555
- 04475933
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- NDL BIB ID
- 7454550
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL Search
- CiNii Articles
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- Abstract License Flag
- Disallowed