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PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations
With the ongoing cost decrease of genotyping and sequencing technologies, accurate and fast phenotyping remains the bottleneck in the utilizing of plant genetic resources for breeding and breeding research. Although cost-efficient high-throughput phenotyping platforms are emerging for specific trait...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813448/ https://www.ncbi.nlm.nih.gov/pubmed/36636476 http://dx.doi.org/10.12688/f1000research.74239.2 |
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author | Röckel, Franco Schreiber, Toni Schüler, Danuta Braun, Ulrike Krukenberg, Ina Schwander, Florian Peil, Andreas Brandt, Christine Willner, Evelin Gransow, Daniel Scholz, Uwe Kecke, Steffen Maul, Erika Lange, Matthias Töpfer, Reinhard |
author_facet | Röckel, Franco Schreiber, Toni Schüler, Danuta Braun, Ulrike Krukenberg, Ina Schwander, Florian Peil, Andreas Brandt, Christine Willner, Evelin Gransow, Daniel Scholz, Uwe Kecke, Steffen Maul, Erika Lange, Matthias Töpfer, Reinhard |
author_sort | Röckel, Franco |
collection | PubMed |
description | With the ongoing cost decrease of genotyping and sequencing technologies, accurate and fast phenotyping remains the bottleneck in the utilizing of plant genetic resources for breeding and breeding research. Although cost-efficient high-throughput phenotyping platforms are emerging for specific traits and/or species, manual phenotyping is still widely used and is a time- and money-consuming step. Approaches that improve data recording, processing or handling are pivotal steps towards the efficient use of genetic resources and are demanded by the research community. Therefore, we developed PhenoApp, an open-source Android app for tablets and smartphones to facilitate the digital recording of phenotypical data in the field and in greenhouses. It is a versatile tool that offers the possibility to fully customize the descriptors/scales for any possible scenario, also in accordance with international information standards such as MIAPPE (Minimum Information About a Plant Phenotyping Experiment) and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. Furthermore, PhenoApp enables the use of pre-integrated ready-to-use BBCH (Biologische Bundesanstalt für Land- und Forstwirtschaft, Bundessortenamt und CHemische Industrie) scales for apple, cereals, grapevine, maize, potato, rapeseed and rice. Additional BBCH scales can easily be added. The simple and adaptable structure of input and output files enables an easy data handling by either spreadsheet software or even the integration in the workflow of laboratory information management systems (LIMS). PhenoApp is therefore a decisive contribution to increase efficiency of digital data acquisition in genebank management but also contributes to breeding and breeding research by accelerating the labour intensive and time-consuming acquisition of phenotyping data. |
format | Online Article Text |
id | pubmed-9813448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-98134482023-01-11 PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations Röckel, Franco Schreiber, Toni Schüler, Danuta Braun, Ulrike Krukenberg, Ina Schwander, Florian Peil, Andreas Brandt, Christine Willner, Evelin Gransow, Daniel Scholz, Uwe Kecke, Steffen Maul, Erika Lange, Matthias Töpfer, Reinhard F1000Res Software Tool Article With the ongoing cost decrease of genotyping and sequencing technologies, accurate and fast phenotyping remains the bottleneck in the utilizing of plant genetic resources for breeding and breeding research. Although cost-efficient high-throughput phenotyping platforms are emerging for specific traits and/or species, manual phenotyping is still widely used and is a time- and money-consuming step. Approaches that improve data recording, processing or handling are pivotal steps towards the efficient use of genetic resources and are demanded by the research community. Therefore, we developed PhenoApp, an open-source Android app for tablets and smartphones to facilitate the digital recording of phenotypical data in the field and in greenhouses. It is a versatile tool that offers the possibility to fully customize the descriptors/scales for any possible scenario, also in accordance with international information standards such as MIAPPE (Minimum Information About a Plant Phenotyping Experiment) and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. Furthermore, PhenoApp enables the use of pre-integrated ready-to-use BBCH (Biologische Bundesanstalt für Land- und Forstwirtschaft, Bundessortenamt und CHemische Industrie) scales for apple, cereals, grapevine, maize, potato, rapeseed and rice. Additional BBCH scales can easily be added. The simple and adaptable structure of input and output files enables an easy data handling by either spreadsheet software or even the integration in the workflow of laboratory information management systems (LIMS). PhenoApp is therefore a decisive contribution to increase efficiency of digital data acquisition in genebank management but also contributes to breeding and breeding research by accelerating the labour intensive and time-consuming acquisition of phenotyping data. F1000 Research Limited 2022-11-28 /pmc/articles/PMC9813448/ /pubmed/36636476 http://dx.doi.org/10.12688/f1000research.74239.2 Text en Copyright: © 2022 Röckel F et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Röckel, Franco Schreiber, Toni Schüler, Danuta Braun, Ulrike Krukenberg, Ina Schwander, Florian Peil, Andreas Brandt, Christine Willner, Evelin Gransow, Daniel Scholz, Uwe Kecke, Steffen Maul, Erika Lange, Matthias Töpfer, Reinhard PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations |
title | PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations |
title_full | PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations |
title_fullStr | PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations |
title_full_unstemmed | PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations |
title_short | PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations |
title_sort | phenoapp: a mobile tool for plant phenotyping to record field and greenhouse observations |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813448/ https://www.ncbi.nlm.nih.gov/pubmed/36636476 http://dx.doi.org/10.12688/f1000research.74239.2 |
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