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PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations

Authors :
Franco Röckel
Toni Schreiber
Danuta Schüler
Ulrike Braun
Ina Krukenberg
Florian Schwander
Andreas Peil
Christine Brandt
Evelin Willner
Daniel Gransow
Uwe Scholz
Steffen Kecke
Erika Maul
Matthias Lange
Reinhard Töpfer
Source :
F1000Research. 11:12
Publication Year :
2022
Publisher :
F1000 Research Ltd, 2022.

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.

Details

ISSN :
20461402
Volume :
11
Database :
OpenAIRE
Journal :
F1000Research
Accession number :
edsair.doi.dedup.....22b0cd75ed8bf04de8379d7fdffb5cd9
Full Text :
https://doi.org/10.12688/f1000research.74239.1