PMID- 36636476 OWN - NLM STAT- MEDLINE DCOM- 20230117 LR - 20230119 IS - 2046-1402 (Electronic) IS - 2046-1402 (Linking) VI - 11 DP - 2022 TI - PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations. PG - 12 LID - 10.12688/f1000research.74239.2 [doi] AB - 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 fur 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. CI - Copyright: (c) 2022 Rockel F et al. FAU - Rockel, Franco AU - Rockel F AUID- ORCID: 0000-0002-2197-0669 AD - Julius Kuhn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, 76833, Germany. FAU - Schreiber, Toni AU - Schreiber T AD - Julius Kuhn Institute (JKI) - Federal Research Centre for Cultivated Plants, Data Processing Department, Erwin-Baur-Strasse 27, Quedlinburg, 06484, Germany. FAU - Schuler, Danuta AU - Schuler D AD - Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstrasse 3, Seeland, 06466, Germany. FAU - Braun, Ulrike AU - Braun U AD - Julius Kuhn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, 76833, Germany. FAU - Krukenberg, Ina AU - Krukenberg I AD - Julius Kuhn Institute (JKI) - Federal Research Centre for Cultivated Plants, Data Processing Department, Konigin-Luise-Strasse 19, Berlin, 14195, Germany. FAU - Schwander, Florian AU - Schwander F AUID- ORCID: 0000-0002-0790-6118 AD - Julius Kuhn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, 76833, Germany. FAU - Peil, Andreas AU - Peil A AD - Julius Kuhn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Breeding Research on Fruit Crops, Pillnitzer Platz 3a, Dresden/Pillnitz, 01326, Germany. FAU - Brandt, Christine AU - Brandt C AUID- ORCID: 0000-0001-8056-0398 AD - Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), The Satellite Collections North, Parkweg 3a, Sanitz, 18190, Germany. FAU - Willner, Evelin AU - Willner E AD - Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), The Satellite Collections North, Inselstrasse 9, Malchow/Poel, 23999, Germany. FAU - Gransow, Daniel AU - Gransow D AD - Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), The Satellite Collections North, Inselstrasse 9, Malchow/Poel, 23999, Germany. FAU - Scholz, Uwe AU - Scholz U AUID- ORCID: 0000-0001-6113-3518 AD - Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstrasse 3, Seeland, 06466, Germany. FAU - Kecke, Steffen AU - Kecke S AD - Julius Kuhn Institute (JKI) - Federal Research Centre for Cultivated Plants, Data Processing Department, Erwin-Baur-Strasse 27, Quedlinburg, 06484, Germany. FAU - Maul, Erika AU - Maul E AD - Julius Kuhn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, 76833, Germany. FAU - Lange, Matthias AU - Lange M AUID- ORCID: 0000-0002-4316-078X AD - Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstrasse 3, Seeland, 06466, Germany. FAU - Topfer, Reinhard AU - Topfer R AD - Julius Kuhn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, 76833, Germany. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20220107 PL - England TA - F1000Res JT - F1000Research JID - 101594320 SB - IM MH - *Plant Breeding MH - *Plants MH - Software MH - Phenotype PMC - PMC9813448 OTO - NOTNLM OT - Android app OT - BBCH OT - FAIR principles OT - LIMS OT - digital data acquisition OT - plant phenotyping COIS- No competing interests were disclosed. EDAT- 2023/01/17 06:00 MHDA- 2023/01/18 06:00 CRDT- 2023/01/16 02:51 PHST- 2022/11/25 00:00 [accepted] PHST- 2023/01/16 02:51 [entrez] PHST- 2023/01/17 06:00 [pubmed] PHST- 2023/01/18 06:00 [medline] AID - 10.12688/f1000research.74239.2 [doi] PST - epublish SO - F1000Res. 2022 Jan 7;11:12. doi: 10.12688/f1000research.74239.2. eCollection 2022.