Journal
ANALYTICAL LETTERS
Volume 44, Issue 15, Pages 2478-2490Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/00032719.2011.551859
Keywords
Glume; NIRS (near infrared reflectance spectroscopy); Prediction model; Stem; Water-soluble carbohydrate (WSC) content; Wheat (Triticum aestivum L.)
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Funding
- National High-tech R&D Program (863 Program) [2006AA100201]
- National Key Technologies RD Program [2008ZX08002-002]
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Water-soluble carbohydrate (WSC) reserved in stem is an important agronomic trait for crop improvement. The intact samples and pieces of chipped samples were employed to determine WSC content by near-infrared reflectance spectroscopy (NIRS). Three NIRS models were developed to predict WSC content in wheat stem lower internode, upmost internode, and wheat glume, respectively. Moreover, a mixed model was developed for WSC quantitative analysis in the mixed sample of the three wheat organs. Statistics analysis indicated that the four models showed a high determination coefficient (R-2 >= 0.97) and ratio of standard deviation to RMSECV (RPD >= 5.99). The NIRS models would allow rapid and high throughout assessments and selections of WSC contents in wheat genetics and breeding programs.
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