PREDICTION OF THE TOTAL STARCH AND AMYLOSE CONTENT IN BARLEY USING NEAR-INFRARED REFLECTANCE SPECTROSCOPY
Ping, Hua1; Wang, Jihua1; Ren, Guixing2
刊名INTELLIGENT AUTOMATION AND SOFT COMPUTING
2013
卷号19期号:3页码:231-237
关键词Barley Total starch Amylose NIR spectroscopy
ISSN号1079-8587
DOI10.1080/10798587.2013.823719
通讯作者Ping, Hua
英文摘要Near-infrared reflectance (NIR) spectroscopy combined with reference data was used to predict the total starch content (TSC) and amylose content (AC) in different barley varieties. One hundred and twelve barley samples were analyzed for TSC and AC by AOAC methods. Out of the total samples, ninety were used to develop the calibration models, and twenty two were used to validate the models. The total starch model showed very good correlation with coefficient of determination (R-2) of 0.96 and root mean square error of cross-validation (RMSECV) of 0.79; the correlation of amylose model was calculated to be R-2 = 0.94, RMSECV = 0.94. The results showed that NIR analysis was sufficiently accurate for the determination of total starch and amylose in barley varieties.
学科主题Automation & Control Systems ; Computer Science, Artificial Intelligence ; AUTOMATION & CONTROL SYSTEMS ; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
语种英语
出版者AUTOSOFT PRESS
WOS记录号WOS:000326140200002
内容类型期刊论文
源URL[http://111.203.20.206/handle/2HMLN22E/5022]  
专题作物科学研究所_种质资源保存与研究中心
作者单位1.Beijing Res Ctr Agrifood Testing & Farmland Monit, Beijing 100097, Peoples R China
2.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China
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Ping, Hua,Wang, Jihua,Ren, Guixing. PREDICTION OF THE TOTAL STARCH AND AMYLOSE CONTENT IN BARLEY USING NEAR-INFRARED REFLECTANCE SPECTROSCOPY[J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING,2013,19(3):231-237.
APA Ping, Hua,Wang, Jihua,&Ren, Guixing.(2013).PREDICTION OF THE TOTAL STARCH AND AMYLOSE CONTENT IN BARLEY USING NEAR-INFRARED REFLECTANCE SPECTROSCOPY.INTELLIGENT AUTOMATION AND SOFT COMPUTING,19(3),231-237.
MLA Ping, Hua,et al."PREDICTION OF THE TOTAL STARCH AND AMYLOSE CONTENT IN BARLEY USING NEAR-INFRARED REFLECTANCE SPECTROSCOPY".INTELLIGENT AUTOMATION AND SOFT COMPUTING 19.3(2013):231-237.
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