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为提高大豆脂肪酸品种的育种进程,使用气相色谱法测量289份大豆籽粒样品的脂肪酸含量,并用近红外谷物品质分析仪NIRFIEX N-500采集大豆样品近红外光谱值,采用主成分回归法将化学试验测定的数值与采集的光谱曲线对应拟合整理分析建立定标模型。每种脂肪酸建立11个定标标准,选取决定系数定标Q值中最高的数值为定标模型。结果显示5种脂肪酸定标模型的适宜Q值分别为:棕榈酸0.823 5、硬脂酸0.854 1、油酸0.819 6、亚油酸0.829 1、亚麻酸0.836 3。最后验证结果表明,近红外法测量值与化学试验测定值误差均在1.5%误差范围之内,证明所建立模型质量较好,具有使用价值,可用于大豆育种材料脂肪酸含量的快速测量。
In order to improve the breeding process of soybean fatty acid varieties, the content of fatty acids in 289 soybean samples was measured by gas chromatography. The near-infrared spectra of soybean samples were collected by NIRFIEX N-500. The chemical constituents The measured values correspond to the collected spectral curves, fitting and analyzing, and establishing a calibration model. Eleven calibration standards were established for each fatty acid, and the highest value of the calibration Q values was selected as the calibration model. The results showed that the suitable Q values of the five fatty acid calibration models were: palmitic acid 0.823 5, stearic acid 0.854 1, oleic acid 0.819 6, linoleic acid 0.829 1, and linolenic acid 0.836 3. The final verification results show that the error between the measured value of the near-infrared method and the measured value of the chemical experiment are within 1.5% of the error range, which proves that the established model has good quality and has the use value and can be used for rapid measurement of the fatty acid content of the soybean breeding material.