This activity focuses on ClimMob’s interoperability, linking the platform fully to existing breeding databases/systems through the Breeding API (BrAPI) project and an appropriate data model. This makes it possible to push data to these systems and publish data following FAIR guidelines.
The team works with the BrAPI Community of Practice and the organizations developing/maintaining breeding software (EBS, BMS, BreedBase). This activity also incorporates research outputs from other activities into the ClimMob platform, which will all require software development. There will be further improvement of the user interface through digital design.
The data are being collected into a data cube that will be accessible for interactive ‘slicing and dicing’ (using Scriptoria’s NIAD data analysis approach). This is one of several options that are being used, including data export to breeding databases (visualization of data through the means existing on those platforms); data export to use with R (ClimMob is a suite of tools, with several R packages for which training will be developed); and automated ClimMob reports (customizable outputs of R scripts).
Finally, the activity enables monitoring and rewarding of the performance of field agents for the successful completion of trial steps and return of high-quality data throughout the season. This activity is led by the Alliance of Bioversity International and CIAT.
Discover more with these resources
Doing participatory on-farm research on crop varieties is a complex challenge to ensure the process runs smoothly from a logistical perspective, is inclusive, and leads to relevant insights. On-farm agricultural trials also face challenges such as inefficient data collection and data storage, and a lack of well-structured data standards, which lead to low data quality and difficulties in comparing results across different studies. This flyer explores how ClimMob was developed as an open-source digital platform to address these issues. It helps plant breeders or any agricultural researcher design participatory variety testing using the tricot method.
This article, published in Computers and Electronics in Agriculture, discusses how the software ClimMob was developed and explains the methodology used for incorporating user feedback.
This short report explores the ClimMob platform, how it was developed and how it supports tricot trials. It also provides a short use case in Nicaragua and discusses the next steps and planned improvements for the platform.
The crop traits of the 1000FARMS protocols used for on-farm data collection have been extracted and integrated into the Crop Ontology database for common bean, cassava, cowpea, groundnut, maize, pearl millet, potato, and sorghum. The database hosts ontology terms for comparative rankings.
Discover more about our other activity areas
Data collection | Variety performance analysis | Inform product management | 1000FARMS course | On-farm trial networks
