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中国农学通报

中国农学通报 ›› 2011, Vol. 27 ›› Issue (3): 90-93.

所属专题： 油料作物

• 农学 农业基础科学 • 上一篇    下一篇

花生自然风干种子油酸、亚油酸和棕榈酸含量的近红外分析模型构建

张建成 王传堂 王秀贞 唐月异 张树伟 李贵杰   

  • 收稿日期:2010-07-20 修回日期:2010-09-07 出版日期:2011-02-05 发布日期:2011-02-05
  • 基金资助:

    现代农业产业技术体系建设专项资金;山东省农科院高新技术创新基金;山东省科技发展计划;山东省自然科学基金

NIRS Calibration Models Predictive of Oleic, Linoleic and Palmitic Acid Content in Sun-dried Bulk Peanut Seed Samples

  • Received:2010-07-20 Revised:2010-09-07 Online:2011-02-05 Published:2011-02-05

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摘要：

利用不同来源、不同种皮颜色的大粒型和小粒型材料，构建了花生自然风干种子油酸、亚油酸和棕榈酸含量的近红外定量分析模型。经优化，最佳光谱预处理方法均为“一阶导数+矢量归一化法”，油酸含量谱区范围为8717.1~5446.3cm-1（厘米波数），维数为9，模型的决定系数（R2）为89.16，均方差（RMSECV）为2.62；花生种子亚油酸含量谱区范围为9,666~5,785.7cm-1，维数为9，模型R2为90.85，RMSECV为2.00；花生种子棕榈酸含量谱区范围为8,717.1~5,446.3cm-1，维数为8，模型R2为79.21，RMSECV为0.525。该模型可用于花生品质育种。

Abstract:

Using peanut germplasm accessions of diverse origin, including large and small seeded genotypes with various seed coat colors, NIRS calibration models for sun-dried bulk samples were established for prediction of oleic, linoleic and palmitic acid contents. The optimized spectrum pretreatment method was first derivative plus vector normalization. The spectrum range, rank, R2 and RMSECV for oleic acid were 8717.1~5446.3cm-1, 9, 89.16 and 2.62; for linoleic acid, these values were 9,666~5,785.7cm-1, 9, 90.85, and 2.00; for palmitic acid, they were 8,717.1~5,446.3cm-1, 8, 79.21 and 0.525, respectively. The models may be used in peanut quality breeding programs.