Analysis of plant growth is a necessary step for the evaluation of plant performance and productivity. For the study of plant performance in Arabidopsis thaliana, a number of mutant collections is available, but a comprehensive methodology to monitor their growth behaviour is lacking. We demonstrate that a novel system, comprising of digital video and image analysis can determine plant size non-destructively by measuring plant leaf area of A. thaliana ecotypes, Columbia 0 and Landsberg erecta, under short and long day conditions. This system provides a non-intrusive method for the monitoring and quantification of plant growth and the evaluation of growth rates. It is applicable for large-scale approaches, such as screening for alteration in growth (rate) in mutant collections. This new system provides the tool for a very accurate determination of individual plant growth rate, even during early developmental stages, requiring as little time as 1Â week.
Description
Large-scale evaluation of plant growth in Arabidopsis thaliana by non-invasive image analysis 10.1016/S0981-9428(00)80097-2 : Plant Physiology and Biochemistry | ScienceDirect.com
%0 Journal Article
%1 Leister1999671
%A Leister, Dario
%A Varotto, Claudio
%A Pesaresi, Paolo
%A Niwergall, Alexandra
%A Salamini, Francesco
%D 1999
%J Plant Physiology and Biochemistry
%K arabidopsis_thaliana image_analysis large-scale non-invasive phenotyping plant_growth toread
%N 9
%P 671 - 678
%R 10.1016/S0981-9428(00)80097-2
%T Large-scale evaluation of plant growth in Arabidopsis thaliana by non-invasive image analysis
%U http://www.sciencedirect.com/science/article/pii/S0981942800800972
%V 37
%X Analysis of plant growth is a necessary step for the evaluation of plant performance and productivity. For the study of plant performance in Arabidopsis thaliana, a number of mutant collections is available, but a comprehensive methodology to monitor their growth behaviour is lacking. We demonstrate that a novel system, comprising of digital video and image analysis can determine plant size non-destructively by measuring plant leaf area of A. thaliana ecotypes, Columbia 0 and Landsberg erecta, under short and long day conditions. This system provides a non-intrusive method for the monitoring and quantification of plant growth and the evaluation of growth rates. It is applicable for large-scale approaches, such as screening for alteration in growth (rate) in mutant collections. This new system provides the tool for a very accurate determination of individual plant growth rate, even during early developmental stages, requiring as little time as 1Â week.
@article{Leister1999671,
abstract = {Analysis of plant growth is a necessary step for the evaluation of plant performance and productivity. For the study of plant performance in Arabidopsis thaliana, a number of mutant collections is available, but a comprehensive methodology to monitor their growth behaviour is lacking. We demonstrate that a novel system, comprising of digital video and image analysis can determine plant size non-destructively by measuring plant leaf area of A. thaliana ecotypes, Columbia 0 and Landsberg erecta, under short and long day conditions. This system provides a non-intrusive method for the monitoring and quantification of plant growth and the evaluation of growth rates. It is applicable for large-scale approaches, such as screening for alteration in growth (rate) in mutant collections. This new system provides the tool for a very accurate determination of individual plant growth rate, even during early developmental stages, requiring as little time as 1Â week.},
added-at = {2012-03-13T12:40:42.000+0100},
author = {Leister, Dario and Varotto, Claudio and Pesaresi, Paolo and Niwergall, Alexandra and Salamini, Francesco},
biburl = {https://www.bibsonomy.org/bibtex/29ff83f01b1c66f4ed410617962206c8a/schmidt2},
description = {Large-scale evaluation of plant growth in Arabidopsis thaliana by non-invasive image analysis 10.1016/S0981-9428(00)80097-2 : Plant Physiology and Biochemistry | ScienceDirect.com},
doi = {10.1016/S0981-9428(00)80097-2},
interhash = {346da55c99c1440519db8f12f6f47d69},
intrahash = {9ff83f01b1c66f4ed410617962206c8a},
issn = {0981-9428},
journal = {Plant Physiology and Biochemistry},
keywords = {arabidopsis_thaliana image_analysis large-scale non-invasive phenotyping plant_growth toread},
number = 9,
pages = {671 - 678},
timestamp = {2012-03-13T15:35:53.000+0100},
title = {Large-scale evaluation of plant growth in Arabidopsis thaliana by non-invasive image analysis},
url = {http://www.sciencedirect.com/science/article/pii/S0981942800800972},
volume = 37,
year = 1999
}