National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
An image analysis technique is well suited for the collection of data concerning the shape and size of the seeds. Such morphological data is often used for establishing the distinctness of new varieties. Seed morphometric characters like seed length, breadth, length to breadth ratio (seed shape) and thousand seed weight were determined for hundred rice genotypes by using Biovis image analyser. As seed size is a widely accepted measure of seed quality by different scientists, study was conducted to determine whether seed size really affects seedling establishment and to its vigour in rice genotypes. Digital image analysis has proven to be a viable approach for the quantitative characterization of cultivars. It helps in distinguishing the cultivars, representing the separation of short, medium and long, as well as brown and white rice varieties using a combination of the descriptors including average length, breadth, shape factor, and compactness.
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