Imaging system to measure whole plant growth in individual level

Takanari TANABATA; Tomoko SHINOMURA

doi:10.5685/plmorphol.16.1

Takanari TANABATA, Tomoko SHINOMURA

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Keywords: image, growth, rice, arabidopsis thaliana, circadian rhythms, phytochrome

JOURNAL FREE ACCESS

2004 Volume 16 Issue 1 Pages 1-10

DOI https://doi.org/10.5685/plmorphol.16.1

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Published: 2004 Received: - Available on J-STAGE: June 28, 2010 Accepted: - Advance online publication: - Revised: -
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Date of correction: June 28, 2010 Reason for correction: - Correction: PDF FILE Details: -

Date of correction: June 28, 2010 Reason for correction: - Correction: SUBTITLE Details: [in Japanese]

Date of correction: June 28, 2010 Reason for correction: - Correction: KEYWORD Details: Wrong : Key words: image, growth, rice,arabidopsis thaliana, circadian rhythms, phytochrome
Right : image, growth, rice, arabidopsis thaliana, circadian rhythms, phytochrome

Date of correction: June 28, 2010 Reason for correction: - Correction: CITATION Details: Wrong : E
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Abstract

Summary:With the completion of the rice genome sequencing project, the next major challenge is the systematic determination of gene function, then difficulties arise in the identification of a phenotype quantitatively that can be associated with the mutation. Here we overview the trend in image technology and its application for the phenotypic analysis process. We introduce our attempts to measure various parameters based on a series of growth images collected by newly developed automatic imaging system. First, the detailed measurement of leaf length in rice seedlings was carried out and presented. Second, the rice lamina inclination process was continuously analyzed and the effects of plant hormone and light on this response were discussed. Third, the leaf area of Arabidopsis thaliana was continuously measured, and a circadian rhythm of leaf movements was identified. We would like to discuss future aspects of image analysis and related technology for a complete understanding of a gene's function that will be realized only when genomic information can be associated with a phenotype at the organismal level.

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