Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2011, Vol. 27 ›› Issue (3): 90-93.

Special Issue: 油料作物

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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

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.