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Comparing Digital Image Analysis and Visual Rating of Gamma Ray Induced Perennial Rye Grass (Lolium perenne) Mutants

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Title Comparing Digital Image Analysis and Visual Rating of Gamma Ray Induced Perennial Rye Grass (Lolium perenne) Mutants
 
Creator Ajai Kumar Tiwari, Gunjeet Kumar, Ganesh B. Kadam and Tarak Nath Saha
 
Subject Lolium perenne, turf quality, digital image analysis, dark green colour index
 
Description Not Available
To generate variability in perennial rye grass and to select genotypes responsive to low
management, gamma-ray irradiation was used for induction of dwarfness and other quality attributes. The
main objective of this study was to identify changes and correlations among turf visual rating and digital image
analysis in evaluating turf grass quality under different treatments. Differences were significant among
irradiated population with respect to hue angle, brightness and saturation. The correlations of hue and DGCI
were significantly positive with all the parameters of visual rating. There were non-significant correlation of
brightness with quality and texture, and saturation and texture. The DGCI values were in tune with each of
these parameters when the slope of regression line was significantly different from zero (p
Not Available
 
Date 2020-03-17T12:45:09Z
2020-03-17T12:45:09Z
2014-09-04
 
Type Article
 
Identifier Not Available
2250-2823
http://krishi.icar.gov.in/jspui/handle/123456789/33937
 
Language English
 
Relation Not Available;
 
Publisher Not Available