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Flour particle size distribution in Chinese winter wheat and measurement by near infrared spectroscopy

Author: Chen Feng
Author: Nagamine, T.
Author: Zhang Yan
Author: He, Zhonghu
Author: Wang De-Sen
Author: Hisashi Yoshida
Year: 2005
ISSN: 0496-3490
dc.identifier.other: http://zwxb.chinacrops.org/EN/Y2005/V31/I03/302
URI: http://hdl.handle.net/10883/2453
Abstract: Flour particle size is an important quality parameter which has a significant effect on food processing. The objective of this study is to investigate the distribution of flour particle size in Chinese winter wheat cultivars and the rapid testing method by near infrared transmittance spectroscopy. Total of 256 wheat cultivars and advanced lines from four major wheat regions, i.e., North Winter Region, Yellow Huai Facultative Wheat Region, Middle and Low Yangtze Winter Region, and Southwestern Winter Wheat Region, were grown in Anyang in 2001 - 2002 season. They were used to measure flour particle size with laser diffraction particle size analyzer and near infrared transmittance spectroscopy ( NITS), respectively. According to flour particle size by laser diffraction particle size analyzer, the Chinese winter wheat could be divided into three distinguished types, hard, soft and mixed wheats. It has been found that the hard wheat were dominant in North China, while a high percentage of soft wheat cultivars in South China. The percentage of hard, soft, and mixed wheat were 59.4 %, 28.1 % and 12.5 %, respectively. A determination coefficient of prediction set of 0.92 was observed between flour particle size determined by laser diffraction particle size analyzer and those predicted by NITS. Prediction residual error sum of square (PRESS) and cross validation were adopted to find the optimal number of principal components in developing calibration model. Model was optimized by deleting outlier samples twice and then RSQ of calibration set increased from 0.82 to 0.92 and SEC decreased from 12.75 to 8.54. This model could be used for selection of hardness in wheat breeding program, wheat quality classification and marketing1 In addition, we found that the model developed with total samples was a little inferior to those developed with wheat samples from various wheat regions.
Format: PDF
Language: Chinese
Publisher: Institute of Crop Sciences
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Country focus: China
Region: East Asia
Pages: 302-307
Issue: 3
Volume: 31
Keywords: Calibration Set
Keywords: Prediction Set
Agrovoc: WHEAT
Agrovoc: PARTICLE SIZE
Agrovoc: FLOURS
Agrovoc: INFRARED SPECTROPHOTOMETRY
Agrovoc: CALIBRATION
Journal: Acta Agronomica Sinica


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  • Wheat
    Wheat - breeding, phytopathology, physiology, quality, biotech

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