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《SCIENTIA AGRICULTURA SINICA》 1999-04
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Analysis of Grain Quality Characters in Small Ground Brown Rice Samples by Near Infrared Reflectance Spectroscopy

Shu Qingyao 1 Wu Dianxing 1 Xia Yingwu 1 Gao Mingwei 1 Anna McClung 2 ( 1 Institute of Nuclear Agricultural Sciences, Zhejiang Univeristy,Hangzhou 310029; 2 USDA/ARS, RT7, Box 999, Beaumont TX77713, USA)  
The effectiveness of near infra red reflectance spectroscopy (NIRS) analysis was compared between ground milled rice (GMR) samples ( ca . 3g) and ground brown rice (GBR) samples ( ca . 0.5g) for protein content, apparent amylose content (AAC) and gelatinization temperature ( alkali spreading value) of rice grains. The results were reported as follows. For protein content, good regression equations could be established both for GMR and GBR. The standard error for ca libration (SEC) and validation performance (SEP), the determination coefficients for ca libration (R 2) and validation (RSQ) for GMR and GBR samples were 0.11 and 0.19, 0.20 and 0.21, 0.995 and 0.932, and 0.99 and 0.91, respectively. For AAC ca libration, GBR samples were less effective than GMR ones, the SEC,SEP,R 2 and RSQ for GBR samples was 0.933, 2.07, 0.927 and 0.65, respectively, and those for GMR samples was 0.426, 0.91, 0.985 and 0.93, respectively. For alkali spreading value, the SEC,SEP,R 2 and RSQ was 0.349, 0.48, 0.827 and 0.74 for GBR, respectively, and 0.224, 0.36, 0.949 and 0.84 for GMR, respectively. The appli ca tion of NIRS analysis by using small ground brown samples for rice grain quality evaluation in breeding programs was discussed.
【Fund】: 国际原子能机构(IAEA)助研金CPR95033P 浙江省9410计划资助项目
【CateGory Index】: TS212.7
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