Discrimination of rice genotypes using field spectroradiometry. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Das, Bappa; Sahoo, Rabi N.; Biswas, Ankur; Pargal, Sourabh; Krishna, Gopal; Verma, Rakesh; Chinnusamy, Viswanathan; Sehgal, Vinay K.; Gupta, Vinod K.
• Is Part Of: Geocarto international. Volume 35:Issue 1(2020)
• Page Start: 64
• Page End: 77
• Publication Date: 2020-01-02
• Subjects: Genotype discrimination -- spectral separability -- classification and regression tree analysis -- Jeffries–Matusita distance -- quadratic discriminant analysis; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2018.1506507
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: Spectral discrimination of rice genotypes was investigated using canopy reflectance in the range of 350 to 2500 nm. The pre-processed reflectance spectra were statistically analysed using one-way analysis of variance (ANOVA) followed by classification and regression tree (CART) technique to find significantly sensitive wavelengths for discrimination. The CART was able to select seventeen wavelengths (4 in visible, 5 in near-infra-red and 8 in shortwave infra-red region) well distributed over the entire spectrum. The spectral separability between each pair of rice genotypes at the selected wavebands was quantified using Jeffries–Matusita (J–M) distance analysis. The J–M distance analysis taking 91 pairs of genotypes showed that all the pairs were separable. This result was further validated by quadratic discriminant analysis (QDA) with an overall accuracy of 98%. The variation in biophysical and biochemical attributes of genotypes has been captured through differential spectral reflectance at selected wavebands which could make the discrimination possible.