南方农业学报2013，Vol.44Issue(1)：28-32,5.DOI:10.3969/j:issn.2095-1191.2013.1.28
应用近红外(NIRS)技术分析小样品油菜籽粒含油量及硫甙含量
Analysis of glucosinolates content in small rapeseed samples by using the Near Infrared Reflectance Spectroscopy (NIRS)technology
摘要
Abstract
[Objective]In this study, the oil content and glucosinolate content of 193 Brassica napus seed samples(3.0 g)and small samples (0.3 g) were analyzed through the NIRS technology and their regression models were also studied in order to establish mathematical models for the practical detection of oil content and glucosinolate content in small rapeseed samples. [ Method ]The oil content and glucosinolate content in Brassica napus seeds were determined by utilizing the NIRS technology, and then the SPSS 18.0 software was used to carry out the regression analysis. [Result]Within the many regression models for determining the oil content and glucosinolate content in small rapeseed samples, the quadratic model was the best fitting model, and the regression equation was respectively y=40.190+0.892x-0.007x2(R2=0.970)and y= -92.040+0.748x+0.002x2(R2=0.960)(y represents the constant measurement results, x represents small figures measurement results). [Conclusion]The quadratic regression equation could effectively transfer the small sample data results into constant conversion data analysis results, therefore able to lay the foundation for breeding Brassica napus varieties with high oil content and low glucosinolate content.关键词
近红外/甘蓝型油菜/含油量/低硫甙/回归分析Key words
Near Infrared Reflectance Spectroscopy (NIRS) / Brassica napus/ oil content/ glucosinolates content/ regression analysis分类
农业科技引用本文复制引用
张美华,刘丽,俎峰,王敬乔..应用近红外(NIRS)技术分析小样品油菜籽粒含油量及硫甙含量[J].南方农业学报,2013,44(1):28-32,5.基金项目
国家"863"计划项目(201110104) （201110104）
云南省现代农业油菜产业技术体系建设资金项目(云农科[2011]74号) （云农科[2011]74号）
