Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2019) [Effective from January 1, 2019]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

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 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(12): 3368-3375
DOI: https://doi.org/10.20546/ijcmas.2018.712.387


Evaluation of Rice Genotypes for Seed Morphometric Characters by Using Seed Image Analyser
Elizabeth1, N.M. Shakuntala2, Basave Gowda3, K. Mahantashivayogayya4, J.R. Dewan5 and I.M. Sangeeta6
1Department of Seed Science and Technology, AC Raichur, UAS Raichur, Karnataka, India
2Department of Seed Science and Technology, AC Raichur, Karnataka, India
3Special Officer (Seeds) UAS, Raichur, Karnataka, India
4ARS Gangavathi, Department of Genetics and Plant Breeding, AC Raichur, UAS, Raichur, Karnataka, India
5Department of Genetics and Plant Breeding
 6Department of Seed Science and Technology, AC, UAS, Raichur, Karnataka, India
*Corresponding author
Abstract:

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.


Keywords: Rice (Oryza sativa L.), Global grain, Seed shape
Download this article as Download

How to cite this article:

Elizabeth, N.M. Shakuntala, Basave Gowda, K. Mahantashivayogayya, J.R. Dewan and Sangeeta, I.M. 2018. Evaluation of Rice Genotypes for Seed Morphometric Characters by Using Seed Image Analyser.Int.J.Curr.Microbiol.App.Sci. 7(12): 3368-3375. doi: https://doi.org/10.20546/ijcmas.2018.712.387