WANG Duo,ZHANG Li,FAN Sujie,et al.Establishment of NIRS Model for the Main Fatty Acids in Soybean[J].Soybean Science,2017,36(02):295-300.[doi:10.11861/j.issn.1000-9841.2017.02.0295]
大豆主要脂肪酸含量近红外模型的建立
- Title:
- Establishment of NIRS Model for the Main Fatty Acids in Soybean
- Keywords:
- Soybean; Fatty acid content; Near infrared model
- 文献标志码:
- A
- 摘要:
- 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 N500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08235、硬脂酸08541、油酸08196、亚油酸08291、亚麻酸08363。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。
- Abstract:
- In order to improve the efficiency of soybean fatty acid breeding and to speed up the breeding process, the fatty acid content of 289 soybean grain samples measured by GC and NIRFIEX N500 was used to collect the NIR spectra of soybean samples Using the principal component regression (prineipal component regession, referred to as PCR), the calibration model was established by fitting and analyzing the value of the chemical experiment and the corresponding spectral curve Eleven calibration criteria were established for each fatty acid, and the highest value of calibration coefficient Q was selected as the calibration model The results showed the fit calibration Q value for the calibration model The fit Q value of palmitic acid was 08235, stearic acid was 08541, oleic acid was 08196, linoleic acid was 08291, and linolenic acid was 08363, respectively Validation results demonstrated that the errors between the near infrared detection and chemical test results were within 1.5%, which well explained the model and could be used to measure the fatty acid contents of soybean in breeding
参考文献/References:
[1]宋晓昆,张颖君,闫龙,等大豆脂肪酸组份相关、变异特点分析[J]. 华北农学报,2010(S2):68-73(Song X K,Zhang Y J,Yan L,et al A study on correlation and variability of fatty acid composition contents of soybean cultivars[J].Acta Agriculturae BorealiSinica,2010(S2):68-73)
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备注/Memo
基金项目:吉林省科技发展计划项目(20150204004NY);吉林省省级粮食生产发展专项(2015001)。