Non-destructive phenotypic analysis of early stage tree seedling growth using an automated stereovision imaging method

Autor: Antonio Montagnoli, Mattia Terzaghi, Nicoletta Fulgaro, Borys Stoew, Jan Wipenmyr, Dag Ilver, Cristina Rusu, Gabriella Stefania Scippa, Donato Chiatante
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Frontiers in Plant Science, Vol 7 (2016)
Druh dokumentu: article
ISSN: 1664-462X
DOI: 10.3389/fpls.2016.01644
Popis: A plant phenotyping approach was applied to evaluate growth rate of containerized tree seedlings during the precultivation phase following seed germination. A simple and affordable stereo optical system was used to collect stereoscopic RGB images of seedlings at regular intervals of time. Comparative analysis of these images by means of a newly developed software enabled us to calculate a) the increments of seedlings height and b) the percentage greenness of seedling leaves. Comparison of these parameters with destructive biomass measurements showed that the height traits can be used to estimate seedling growth for needle-leaved plant species whereas the greenness trait can be used for broad-leaved plant species. Despite the need to adjust for plant type, growth stage and light conditions this new, cheap, rapid, and sustainable phenotyping approach can be used to study large-scale phenome variations due to genome variability and interaction with environmental factors.
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