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Non-invasive quantification of tomato (Solanum lycopersicum L.) plant biomass through digital imaging using phenomics platform.

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Title Non-invasive quantification of tomato (Solanum lycopersicum L.) plant biomass through digital imaging using phenomics platform.
Not Available
 
Creator Laxman, R.H.
Hemamalini, P.
Bhatt, R.M.
Sadashiva, A.T.
 
Subject Plant phenomics, Digital biomass, Projected shoot area, Digital imaging, Image analysis
 
Description Not Available
Phenotyping approaches, using high throughput imaging techniques, are being adopted over the traditional
methodologies which are manpower intensive, time consuming and low throughput. However, the effectiveness of high throughput plant phenotyping through imaging in plant phenomics facility essentially requires establishing relationship between plant areas quantified through imaging and the actual biomass. The present study was conducted with an aim to standardise the methodology for digital quantification of tomato biomass using plant phenomics facility. A strong linear relationship was observed between the actual tomato plant fresh mass, digital biomass and projected shoot area. The correlations between plant
fresh mass, plant digital biomass and projected shoot area were highly significant at 30, 45 and 60 days after transplanting, but at 75 days no correlation was observed.Hence, the present study clearly demonstrated that the growth of tomato plants could be monitored through digital imaging using either projected shoot area or digital biomass till 60 days after transplanting across genotypes for high throughput phenotyping.
ICAR-NICRA
 
Date 2019-10-22T10:03:35Z
2019-10-22T10:03:35Z
2018-07-01
 
Type Article
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/23831
 
Language English
 
Relation Not Available;
 
Publisher Springer