"Chamber #8" - a holistic approach of high-throughput non-destructive assessment of plant roots.

CT data management non-destructive testing phenotyping roots x-ray

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2023
Historique:
received: 28 07 2023
accepted: 01 11 2023
medline: 19 1 2024
pubmed: 19 1 2024
entrez: 19 1 2024
Statut: epublish

Résumé

In the past years, it has been observed that the breeding of plants has become more challenging, as the visible difference in phenotypic data is much smaller than decades ago. With the ongoing climate change, it is necessary to breed crops that can cope with shifting climatic conditions. To select good breeding candidates for the future, phenotypic experiments can be conducted under climate-controlled conditions. Above-ground traits can be assessed with different optical sensors, but for the root growth, access to non-destructively measured traits is much more challenging. Even though MRI or CT imaging techniques have been established in the past years, they rely on an adequate infrastructure for the automatic handling of the pots as well as the controlled climate. To address both challenges simultaneously, the non-destructive imaging of plant roots combined with a highly automated and standardized mid-throughput approach, we developed a workflow and an integrated scanning facility to study root growth. Our " The proposed holistic approach allows us to study root growth of plants in a field-like substrate non-destructively over a defined period and to calculate phenotypic traits of root architecture. For different crops, genotypic differences can be observed in response to climatic conditions which have already been applied to a wide variety of root structures, such as potatoes, cassava, or corn. It enables breeders and scientists non-destructive access to root traits. Additionally, due to the non-destructive nature of X-ray computed tomography, the analysis of time series for root growing experiments is possible and enables the observation of kinetic traits. Furthermore, using this automation scheme for simultaneously controlled plant breeding and non-destructive testing reduces the involvement of human resources.

Identifiants

pubmed: 38239230
doi: 10.3389/fpls.2023.1269005
pmc: PMC10794641
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1269005

Informations de copyright

Copyright © 2024 Claussen, Wittenberg, Uhlmann and Gerth.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Joelle Claussen (J)

Fraunhofer Institute for Integrated Circuits (IIS), Department Development Center X-ray Technology, Fuerth, Germany.

Thomas Wittenberg (T)

Fraunhofer Institute for Integrated Circuits (IIS), Department Development Center X-ray Technology, Fuerth, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg, Department for Visual Computing, Erlangen, Germany.

Norman Uhlmann (N)

Fraunhofer Institute for Integrated Circuits (IIS), Department Development Center X-ray Technology, Fuerth, Germany.

Stefan Gerth (S)

Fraunhofer Institute for Integrated Circuits (IIS), Department Development Center X-ray Technology, Fuerth, Germany.

Classifications MeSH