中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 单粒糙米蛋白质含量的近红外分析数学模型 农业机械学报 2006,37 (8) 120-122
Position: Home > Articles > Mathematic Models for Analyzing Protein Content in Single Brown Rice with Near Infrared Spectroscopy Transactions of the Chinese Society for Agricultural Machinery 2006,37 (8) 120-122

单粒糙米蛋白质含量的近红外分析数学模型

作  者：
谢新华;肖昕;李晓方;李元瑞
关键词：
糙米;近红外透射光谱;定量分析;蛋白质含量
摘  要：
应用近红外透射光谱(NITS)技术,采用多种计量数学处理方法和不同的回归统计方法建立定标数学模型,优化得到了单粒糙米蛋白质含量测定的近红外定标模型。其定标相关系数(1VR)和检验决定系数(RSQ)分别为:0.924和0.940。内部交叉验证和外部验证结果表明,近红外定量分析有很高的准确度。
译  名：
Mathematic Models for Analyzing Protein Content in Single Brown Rice with Near Infrared Spectroscopy
作  者：
Xie Xinhua~1 Xiao Xin~2 Li Xiaofang~2 Li Yuanrui~1 (1.Northwest A&F University 2.Guangdong Academy of Agriculture Science)
关键词：
Brown rice, Infrared transmittance spectroscopy, Quantitative analysis, Protein content
摘  要：
With the technique of near infrared transmittance spectroscopy(NITS), the predicted models for protein content in single brown rice were established by several mathematics treatments, several different regression and then they were optimized. The regression squared(1VR)of the calibration and determination coefficients(RSQ)of the validation were 0.924 and 0.940 respectively. The method of NITS had high accuracy in predicted test of cross validation and independent validation and was available to replace the routine laboratory analysis. As a rapid and full measurement, the NITS method has potential application in rice breeding.

相似文章

导出引用
计量
文章访问数: 9
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46