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Research Journal of Seed Science
  Year: 2011 | Volume: 4 | Issue: 4 | Page No.: 192-198
DOI: 10.3923/rjss.2011.192.198
 
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Characterization of Mustard Genotypes Through Image Analysis

V. Vijaya Geetha, P. Balamurugan and M. Bhaskaran

Abstract:
Varietal identification or discrimination of cultivars is essential for quality seed production. The measurement of geometry of single seed is possible with image analysis technique. Image analysis is an attractive system easily employed in many environments, non destructive, give a real-time analysis and inexpensive. Variation in seed morphology was observed for all the genotypes studied using image analyzer. The cluster analysis revealed that the genotypes could be grouped as two main clusters in which all genotypes except RN 393 formed one cluster and RN 393 as another cluster which showed that genotype in cluster one performed similarly for most of the geometric measurements of seed viz., area (2.82 cm2), perimeter (8.24 cm), radial variance (1.20) and circularity (1.15). Thus, morphological characterization through seed image analysis was found useful to discriminate the genotypes.
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How to cite this article:

V. Vijaya Geetha, P. Balamurugan and M. Bhaskaran, 2011. Characterization of Mustard Genotypes Through Image Analysis. Research Journal of Seed Science, 4: 192-198.

DOI: 10.3923/rjss.2011.192.198

URL: https://scialert.net/abstract/?doi=rjss.2011.192.198

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