Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, 76833, Germany.
Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Data Processing Department, Erwin-Baur-Straße 27, Quedlinburg, 06484, Germany.
F1000Res. 2022 Jan 7;11:12. doi: 10.12688/f1000research.74239.2. eCollection 2022.
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.
随着基因分型和测序技术成本的持续降低,准确、快速的表型分析仍然是利用植物遗传资源进行育种和研究的瓶颈。尽管针对特定性状和/或物种出现了成本效益高的高通量表型分析平台,但手动表型分析仍然广泛应用,而且是一个耗时耗钱的步骤。提高数据记录、处理或处理效率的方法是有效利用遗传资源的关键步骤,也是研究界所要求的。因此,我们开发了 PhenoApp,这是一款用于平板电脑和智能手机的开源 Android 应用程序,用于方便在田间和温室中进行表型数据的数字化记录。它是一种通用工具,提供了为任何可能的场景完全自定义描述符/量表的可能性,也符合国际信息标准,如 MIAPPE(植物表型实验的最小信息)和 FAIR(可查找、可访问、可互操作和可重复使用)数据原则。此外,PhenoApp 还可以使用预先集成的、可用于苹果、谷物、葡萄藤、玉米、土豆、油菜和水稻的现成的 BBCH(联邦农业生物研究所、联邦品种办公室和化学工业)量表。可以轻松添加其他 BBCH 量表。输入和输出文件的简单和可适应的结构使得通过电子表格软件甚至集成到实验室信息管理系统(LIMS)的工作流程中,都可以轻松处理数据。因此,PhenoApp 是提高基因库管理中数字数据采集效率的重要贡献,同时通过加速劳动密集型和耗时的表型数据采集,也为育种和研究做出了贡献。