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http://krishi.icar.gov.in/jspui/handle/123456789/44566| Title: | Discrimination of rice genotypes using field spectroradiometry |
| Other Titles: | Not Available |
| Authors: | Bappa Das Rabi N. Sahoo Ankur Biswas Sourabh Pargal Gopal Krishna Rakesh Verma Viswanathan Chinnusamy Vinay K. Sehgal Vinod K. Gupta |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Central Coastal Agricultural Research Institute ICAR::Indian Agricultural Research Institute ICAR::Indian Agricultural Statistics Research Institute |
| Published/ Complete Date: | 2020-01-01 |
| Project Code: | Not Available |
| Keywords: | Genotype discrimination spectral separability classification and regression tree analysis Jeffries–Matusita distance quadratic discriminant analysis |
| Publisher: | Taylor & Francis |
| Citation: | Bappa Das, Rabi N. Sahoo, Ankur Biswas, Sourabh Pargal, Gopal Krishna, Rakesh Verma, Viswanathan Chinnusamy, Vinay K. Sehgal & Vinod K. Gupta (2020) Discrimination of rice genotypes using field spectroradiometry, Geocarto International, 35:1, 64-77, DOI: 10.1080/10106049.2018.1506507 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | 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. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Geocarto International |
| NAAS Rating: | 9.79 |
| Volume No.: | 35(1) |
| Page Number: | 64-77 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | https://doi.org/10.1080/10106049.2018.1506507 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/44566 |
| Appears in Collections: | AEdu-IASRI-Publication |
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