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פותח על ידי קלירמאש פתרונות בע"מ -
CoverageTool: A semi-automated graphic software: Applications for plant phenotyping
Year:
2019
Source of publication :
Plant Methods
Authors :
מרצ'וק-אבנת, ליאן
;
.
קוטשר, יערית
;
.
ראובני, משה
;
.
שגב, אורית
;
.
Volume :
15
Co-Authors:

Ovnat, Z., Hamacabim 4, Sderot, Israel; Saranga, Y., Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Hebrew University of Jerusalem, Rehovot, Israel;

Facilitators :
From page:
0
To page:
0
(
Total pages:
1
)
Abstract:

Background: Characterization and quantification of visual plant traits is often limited to the use of tools and software that were developed to address a specific context, making them unsuitable for other applications. CoverageTool is flexible multi-purpose software capable of area calculation in cm2, as well as coverage area in percentages, suitable for a wide range of applications. Results: Here we present a novel, semi-automated and robust tool for detailed characterization of visual plant traits. We demonstrate and discuss the application of this tool to quantify a broad spectrum of plant phenotypes/traits such as: tissue culture parameters, ground surface covered by annual plant canopy, root and leaf projected surface area, and leaf senescence area ratio. The CoverageTool software provides easy to use functions to analyze images. While use of CoverageTool involves subjective operator color selections, applying them uniformly to full sets of samples makes it possible to provide quantitative comparison between test subjects. Conclusion: The tool is simple and straightforward, yet suitable for the quantification of biological and environmental effects on a wide variety of visual plant traits. This tool has been very useful in quantifying different plant phenotypes in several recently published studies, and may be useful for many applications. © 2019 The Author(s).

Note:
Related Files :
DPI
Ground coverage
image analysis
Phenotyping
RGB imagery
Root and leaf projected surface area
senescence
tissue culture
YCbCr
עוד תגיות
תוכן קשור
More details
DOI :
10.1186/s13007-019-0472-2
Article number:
90
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
43218
Last updated date:
02/03/2022 17:27
Creation date:
20/08/2019 08:34
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Scientific Publication
CoverageTool: A semi-automated graphic software: Applications for plant phenotyping
15

Ovnat, Z., Hamacabim 4, Sderot, Israel; Saranga, Y., Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Hebrew University of Jerusalem, Rehovot, Israel;

CoverageTool: A semi-automated graphic software: Applications for plant phenotyping

Background: Characterization and quantification of visual plant traits is often limited to the use of tools and software that were developed to address a specific context, making them unsuitable for other applications. CoverageTool is flexible multi-purpose software capable of area calculation in cm2, as well as coverage area in percentages, suitable for a wide range of applications. Results: Here we present a novel, semi-automated and robust tool for detailed characterization of visual plant traits. We demonstrate and discuss the application of this tool to quantify a broad spectrum of plant phenotypes/traits such as: tissue culture parameters, ground surface covered by annual plant canopy, root and leaf projected surface area, and leaf senescence area ratio. The CoverageTool software provides easy to use functions to analyze images. While use of CoverageTool involves subjective operator color selections, applying them uniformly to full sets of samples makes it possible to provide quantitative comparison between test subjects. Conclusion: The tool is simple and straightforward, yet suitable for the quantification of biological and environmental effects on a wide variety of visual plant traits. This tool has been very useful in quantifying different plant phenotypes in several recently published studies, and may be useful for many applications. © 2019 The Author(s).

Scientific Publication
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