[1]姚鑫淼 张瑞英 李霞辉 程爱华 张晓波 　 高春霞.近红外透射光谱法(NITS)分析大豆品质的研究*[J].大豆科学,2006,25(04):417-420,424.[doi:10.11861/j.issn.1000-9841.2006.04.0417]
　Yao Xinmiao Zhang Ruiying Li Xiahui Cheng Aihua Zhang Xiaobo Gao Chunxia.STUDY ON ANALYSIS OF SOYBEAN QUALITY BY NEARINFRARED TRANSMITTANCE SPECTROSCOPY[J].Soybean Science,2006,25(04):417-420,424.[doi:10.11861/j.issn.1000-9841.2006.04.0417]
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近红外透射光谱法(NITS)分析大豆品质的研究*

《大豆科学》[ISSN:1000-9841/CN:23-1227/S] 卷: 第25卷 期数: 2006年04期 页码: 417-420,424 栏目: 出版日期: 2006-11-25
Title:
STUDY ON ANALYSIS OF SOYBEAN QUALITY BY NEARINFRARED TRANSMITTANCE SPECTROSCOPY
作者:
姚鑫淼 张瑞英 李霞辉 程爱华 张晓波 　 高春霞
(农业部谷物及制品质量监督检验测试中心,哈尔滨 150086)
Author(s):
Yao Xinmiao 　 Zhang Ruiying Li Xiahui 　 Cheng Aihua　 Zhang Xiaobo 　 Gao Chunxia
(Inspection and Testing Center For Quality of Cereals and Their Products ,Ministry of Agriculture , Harbin 150086)
关键词:
大豆; 近红外透射; 校正; 预测
Keywords:
Soybean ; Near-infrared transmittance spectroscopy ; Calibration ; Prediction
DOI:
10.11861/j.issn.1000-9841.2006.04.0417
文献标志码:
A
摘要:
为了研究大豆品质性状的快速测定方法,以我国东北部四省区 572 份大豆样品为材料 ,采用近红外透射(NITS)技术非破坏性测定大豆的粗蛋白质 、粗脂肪含量。调选出的校正集样品经实验室常规分析测定 ,建立其吸收光谱与化学成分间的关系模型 ,校正并优化原有测定方程。校正方程经预测获得了较高的预测集决定系数 0. 9757(蛋白质)、0. 9549(脂肪)和较低的标准误差 2. 18(蛋白质)、0. 88(脂肪)。结果表明近红外透射光谱技术可广泛应用于大豆品种品质普查 、大豆品质育种材料筛选和商品大豆质量分类分级。本研究试验用样品数量多 、来源分布均匀 、品种信息丰富,因此 ,所建立的近红外透射预测模型适用范围广。　
Abstract:
　 T o study the rapid analysis method for soybean quality , 572 soybean variety samples were col-lected from four provinces in Northeast China. Soybean protein and oil content were analyzed by near-in-frared transmittance spectroscopy without destroying. Calibration model were established with data fromchemical analysis and absorbed spectrum of calibration samples to improve the accuracy of prediction re-sults. Satisfied r 2 0. 9757 (protein), 0. 9549 (oil) and SEP 2. 18(protein), 0. 88(oil)were achieved. Re-sults showed that near-infrared transmittance spectrum techniques could be applied in soybean quality de-termination, generation selection in soybean breeding program and soybean quality classification. Abun-dant samples and varieties applied in this research made the prediction model more practicable.

参考文献/References:

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2　 赵武善, 黄 斌, 陈哲, 等. 近红外透射技术分析大豆籽粒[ J] 光谱实验室, 2004(6):1199 - 1202.
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备注/Memo

课题来源:2005 国家大豆良种推广补贴项目作者简介:姚鑫淼(1980 -), 女, 硕士, 研实, 从事谷物品质研究工作。

更新日期/Last Update: 2016-12-16