摘要
以完整水稻种子为样品,利用近红外透射谷物分析仪对186份批量稻谷进行扫描并测定了蛋白质含量的参比数据。采用多种数学计量学处理方法和不同的回归统计方法进行定标曲线的开发和比较,优化得到了小批量水稻种子蛋白质含量测定的近红外定标方程。其定标标准偏差(SEC)、交叉检验标准误差(SECV)、定标相关系数(RSQ)和交叉验证相关系数(I-VR)分别为0.255 8、0.279 5、0.972 8、0.967 5。研究采用整粒小量样品(5 g)来分析,效果较好,可直接用于育种早世代选择。
Using intact rice seeds as test samples, one hundred and eighty-six samples of small batch rice seeds were scanned by near infrared transmittance spectroscopy and their protein contents were determined by reference method. Several mathematics treatments to the sample spectra and several different regression methods were adopted to optimize a good calibration equation for determination of protein content in small batch rice kernel. For the protein content in small batch rice grian. the standard error of calibration(SEC),standard error of cross-validation(SECV),regression squared(RSQ)and 1 minus the variance ratio (1-VR) of the calibration selected were 0.255 8, 0.279 5, 0.972 8 and 0.967 5, respectively. Better results were obtained by using intact rice seeds small sample (5g). So the NITS analysis could be used to screen the early generation lines in rice seeds breeding for quality improvement.
出处
《湖北农业科学》
北大核心
2004年第2期16-18,共3页
Hubei Agricultural Sciences
基金
国家自然科学基金重大项目(39893350)
广东省自然科学基金项目(020384)
关键词
稻谷种子
蛋白质含量
近红外透射光谱
实测值
预测值
near infrared transmittance spectroscopy
small batch seeds
protein content
rice