%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 1 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 1 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 }