Presentation by Glenn Hyman and Ernesto Giron on agricultural trial database for climate change adaptation planning, at the 2011 ESRI International User Conference in San Diego, CA, July 14th, 2011

1. Agricultural technology evaluation: Trial metadatabaseand file repository http://agtrials.org/

2. http://agtrials.org

4. Genetic improvement

5. On-farm management practices

6. Test them via modelling

7. Build “adaptation packages”

9. >> Multi-site agricultural trial database (agtrials.org) Effect of +1ºC warming on yield Sites with >23ºC would suffer even if optimally managed 20,000+ maize trials in 123 research sites More than 20% loss in sites with >20ºC, under drought Lobell et al. 2011

11. 16 crops

12. 20 countries

14. Bean trial data

15. Rice trial data

16. Web Application Framework Clients Server Data Base PostgreSQL 8.3 Internet Web Server PHP 5.2.4 Symfony 2.4 Repository files Trial File Results File Environmental File

17. Database design

19. User profiles and permissions restrict functionality and capacity to edit or download information

21. Utilizes auto complete where possible Users choose options already found in tables as opposed to putting in new data – to avoid duplication and error

22. Fields that are required are indicated as such.

23. The positive sign icon is clicked to add a new entry to a table After clicking icon, a new form appears to enter tabular information

24. Data sharing and intellectual property rights protocol This form accepts code from Creative Commons to establish IPR: click on the hyperlink. Step 1: A window appears that explains how to establish IPR. Click on Creative Commons logo Step 3: Generate code Step 2: Answer questions

25. Accepts coordinate input in both degrees, minutes and seconds and decimal degrees; converts automatically from one to the other

26. Users can add varieties here. Our current list includes over 700 varieties that we took from DSSAT

27. Users can enter the traits or variables measured in the trial here. We have acquired these variable names from GCP’s www.cropontology.org

28. Uploading trial data Trial results upload: in whatever format researcher manages their data in Supplemental information upload: methods used in the trial, management, etc. etc. Researchers designate whether environmental data can be downloaded or not. Weather conditions during trial, upload: in whatever format researcher manages their data in Soil conditions file: in whatever format researcher uses

29. If users have given permission for others to download their files, they will have that capacity…….otherwise, any data or information about trials entered into the site will only be available as metadata (data about the trials, but not the raw data).

30. Batch Upload

31. Bibliography: any document related to agricultural technology evaluation at a site - such as field notes, gray literature and peer-reviewed publications

32. CCAFS 'value addition Matching with the CCAFS Analogue tool & Farms of the future project

33. Karnal (India) Rainy season from June to September

34. Exploring bean trials in Central America and East Africa Search for similar sites Search bean trials for high yields for particular varieties Map and graph the results

35. In map below – green areas are most climatologically similar to Kampala, Uganda. In graphic to the right, the Analogue dissimilarity index is plotted against average yields for the Jamapa variety of common bean. Trial results from sites with low dissimilarity and high yields may be of interest to Kampala bean researchers.

36. In map below – green areas are most climatologically similar to Masaya, Nicaragua. In graphic to the right, the Analogue dissimilarity index is plotted against average yields for the PorrilloSinteticovariety of common bean at 128 sites. Trials results from sites with low dissimilarity and high yields may be of interest to Masaya bean researchers.

37. Related ongoing activities Development of a generic methodology for G x E analysis to understand varietal response through genotype by environment. Method fully coded, documented and integrated into R-package Application of the method to one case study, using the data at www.agtrials.org Collaboration with crop modeling initiatives AgMIPS and Global Futures, including modeled trials. Development of a community of data analysts looking at varietal response for a whole range of crops (blog in Agtrials.org) Exploring collaboration with selected group of on-going programs and initiatives

38. Thank you for your attention Q&A >> The Adaptation & Mitigation Knowledge Network It links farmers’ realities on the ground with promising scientific research outputs, to inspire new ideas and highlight current challenge.