e ‘in’ folder of the app main directory and no additional source data is required). - Output_example.xls (sample output file created by PhenoApp). Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Public domain dedication). Software availability Source code available from: https://gitea.julius-kuehn.de/JKI/pheno-app Archived source code at time of publication: https://doi.org/10.5281/zenodo.5525779 36 License: Apache-2.0 Acknowledgements We are grateful to Moritz Cappel, Teresa Claus and Claudia Vogel for ongoing testing, recommendations and bug report of PhenoApp during development. Funding Statement This work was supported by grants f
Open resource ↗gitea.julius-kuehn.de · JKI/pheno-app · lines:333-433Unverified paper record
PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations
F1000Research · 7 Jan 2022 · 10.12688/f1000research.74239.1
Abstract
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.
Plant phenotyping relevance
植物表現型データのデジタル記録・取得を目的とするオープンソースアプリの開発であり、表現型測定ワークフローが中心的です。
abstractTherefore, 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.
abstractPhenoApp 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.
Code and data availability
The paper describes PhenoApp, an open-source Android phenotyping app. Authors provide the app's source code (Gitea, archived on Zenodo) and underlying example input/output phenotype data files on Zenodo under CC0. The SHAPE II project website is a project page, not a paper-specific data deposit, and is excluded.
put_example.xls (sample output file created by PhenoApp). Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Public domain dedication). Software availability Source code available from: https://gitea.julius-kuehn.de/JKI/pheno-app Archived source code at time of publication: https://doi.org/10.5281/zenodo.5525779 36 License: Apache-2.0 Acknowledgements We are grateful to Moritz Cappel, Teresa Claus and Claudia Vogel for ongoing testing, recommendations and bug report of PhenoApp during development. Funding Statement This work was supported by grants from the German Federal Ministry of Education and Research to FS (SelWineQ, FKZ 031B0889
Open resource ↗Zenodo · 10.5281/zenodo.5525779 · lines:333-433This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.