青稞粗蛋白含量的检测通常采用凯氏定氮分析法，费时、费力、成本高。利用定标的大麦模型预测青稞的粗蛋白含量，相关分析表明，近红外谷物分析仪与凯氏定氮仪的测定值间存在极显著的相关性，皮尔森相关系数达到0.976 9，回归分析建立的两者间的线性回归方程是y=1.023 7x-2.515 7(R2=0.954 2)。利用近红外光谱分析技术检测青稞粗蛋白含量快速、准确、成本低，准确度和精密度均好。

The method of kjeldahl nitrogen analysis is usually used to detect the content of crude protein in highland barley， which is time-consuming， laborious and costly. The calibrated barley model was used to predict the crude protein content of the barley. The correlation analysis showed that there was a very significant correlation between the measured values of the near-infrared grain analyzer and the kjeldahl nitrogen analyzer， and the pearson correlation coefficient was 0.976 9. The linear regression equation established by the regression analysis was y=1.023 7x-2.5157(R2=0.954 2). Nir spectroscopy is used to detect the content of barley crude protein quickly， accurately， with low cost and good accuracy and precision.

S512.3

国家大麦青稞产业体系遗传改良研究室种子扩繁与生产技术(CARS-05)；国家自然基金项目“垄作沟灌栽培模式对啤酒大麦品质影响及调控机制”(31760358)。