Rapid and Non-destructive Identification of Hybrid Rice Seeds Using DPLS-CSM Optimized Near Infrared Reflectance Spectroscopy

doi:10.11924/j.issn.1000-6850.casb16020025

Abstract

Abstract: With the advantages of being quick, non-destructive, cheap, accurate and pollution-free, Near Infrared Spectroscopy (NIRS) can be applied in high throughput identification and screening of hybrid rice seeds in the future. This research utilized Near Infrared Reflectance Spectroscopy combining with a new chemometric method, Discriminant Partial Least Squares Classification Screening Method (DPLS-CSM), to differentiate single hybrid rice seed‘Xinliangyou 6’from its male parent, female parent and other fake seeds. According to comparison with Discriminant Partial Least Squares (DPLS) method, it showed that the Sensitivity (Sn ), Precision(Pr ) and Matthews Correlation Coefficient (Mcc ) were 97.92%, 97.58% and 95.51% respectively by using DPLS-CSM method for modeling, which exceeded the values of 92.01%, 93.97% and 90.68% by using DPLS method. When validation set samples were being inspected, theSn ,Pr andMcc values of DPLSCSM models were 98.96%, 95% and 93.83% respectively, which exceeded the values of 94.79%, 88.35% and 88.57% by the latter. The results indicated that it was feasible to identify the authenticity of rice seed ‘Xinliangyou 6’by using DPLS-CSM combined with NIRS. This method provided people with a new choice to identify and screen hybrid rice seeds rapidly and nondestructively.

CLC Number:

S511

吴跃进. Rapid and Non-destructive Identification of Hybrid Rice Seeds Using DPLS-CSM Optimized Near Infrared Reflectance Spectroscopy[J]. Chinese Agricultural Science Bulletin, 2017, 33(2): 142-149.

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