Seed-to-plant, plant-to-seed phenotyping

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F22%3A00130302" target="_blank" >RIV/00216224:14740/22:00130302 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Seed-to-plant, plant-to-seed phenotyping
Original language description
Many of the Arabidopsis research programs are focused on the detailed characterization of early developmental growth, followed by costly and laborious omics data processing. To get maximum of these datasets it is crucial to reduce any source of variability. One of the most challenging sources of variability are the micro-sized seeds and their manual handling. Here, we introduce Boxeed, the state-of-the-art technology intended for the non-invasive, dry-seeds phenotyping, sorting, counting and precise seeding to growth media. Boxeed is designed for 80 µm – 3 mm seeds reaching the average working speed 600 seeds/hour. Phenotyping is based on 2D image analysis of individual seeds from multiple projections. The seed morphometric and fluorescence parameters are calculated in a real time, making it ideal for a seed selection and for single or multiple parameterized seed sorting directly from stocks. In Arabidopsis thaliana ecotype Col, we have identified that just introducing proper seed-to-seed positioning and seed phenotyping is a key factor responsible for developmentally important impact manifested during early postembryonic growth has root growth variability. The described variability is quite considerable, and its understanding opens a bottleneck towards delicate characterization of the plant developmental processes.
Czech name
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Czech description
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Project
<a href="/en/project/EF16_026%2F0008446" target="_blank" >EF16_026/0008446: Signal integration and epigenetic reprograming for plant productivity</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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