Daniel Jimenez - Site Specific Agriculture for enhancing fruit production in Colombia

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Presentation by Daniel Jimenez on the potential revolution in fruit production awaiting Colombia through the implementation of site specific agriculture based on farmer experience.

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Daniel Jimenez - Site Specific Agriculture for enhancing fruit production in Colombia

  1. 1. Site-specific agriculture based on farmers experiences (SSAFE) for fruits in Colombia Secretaries of the Fruit Chains (mango, avocado , citrus, plántain)
  2. 2. <ul><li>Definition of Site-specific agriculture (SSA): </li></ul><ul><li>The Colombian Sugarcane Research Centre (CENICAÑA) pioneer of SSA in Colombia </li></ul><ul><li>CENICAÑA Increased production of sugarcane from 7 t/sugar/ha/yr around 1980, to 12.6 t sugar/ha/yr in the period 2001-2005 by adopting SSA </li></ul><ul><li>According to (CENICAÑA):SSA is the art of managing crop according to the spatial and temporal variation in conditions of the site where they are grown with a view to optimizing production practices (Isaacs et al., 2004). </li></ul>
  3. 3. The concept <ul><li>Growing conditions - highly heterogeneous </li></ul><ul><li>Large number of experiments or treatments required to draw firm conclusions concerning the optimum management of the crop under diverse conditions </li></ul><ul><li>Each farm is an experimental station </li></ul><ul><li>Every time a farmer plants and harvests a crop it is an experiment or event </li></ul><ul><li>Collective knowledge is far more valuable than individual knowledge </li></ul>
  4. 4. Hypothesis “ Every time a farmer harvests his crop, there is a unique event , an unreplicated experiment (Cock, 2007)” If it were possible to characterize the production system in terms of management and the environmental conditions, and if we were able to collect information on the harvested product of a large number of harvesting events under varied conditions, it should be possible to deduce optimum practices for specific  conditions.
  5. 5. The opportunity <ul><li>Existence of “global” datasets on environment and socio-economies – these are global in extent, and local in relevance which can characterize any on-farm experiment that takes place </li></ul><ul><li>Capture and delivery mechanisms for information through (ICTs – mobile phones, internet ) </li></ul><ul><li>An organizing world – revolution in rural organizations around supply chains, e.g. farmer organisations </li></ul>
  6. 6. <ul><li>Contribute to increase the competitiveness of fruit producers in Colombia by means of a “ Site-specific agriculture based on farmers experiences” system for citrus, mango, avocado and plantain, The system is designed to support fruit growers in Colombia in the decision making process about the suitable conditions to grow. </li></ul>Objective
  7. 7. training Information system 3 x Coordination Year 1 Year 3 Data “events” gathering Decentralized system 1 2 Get contact with partners Automated processes 3 Data Analysis Creating farmers groups 4 Establishing site-specific recommendations
  8. 8. Site-specific agriculture based on farmers experiences (SSAFE) for fruits in Colombia <ul><li>Project components : </li></ul><ul><li>Characterization of any experiment that takes place on farm “events” </li></ul><ul><li>Data Analysis </li></ul><ul><li>Creating groups of fruit producers </li></ul><ul><li>Training </li></ul>
  9. 9. Site-specific agriculture based on farmers experiences (SSAFE) for fruits in Colombia <ul><li>Project components : </li></ul><ul><li>Characterization of any experiment that takes place on farm “events” </li></ul><ul><li>Data Analysis </li></ul><ul><li>Creating groups of fruit producers </li></ul><ul><li>Training </li></ul>
  10. 10. Characterization of any experiment that takes place on farm “events” - global” datasets on environment <ul><li>Site geo-referenced using hand held GPS </li></ul><ul><li>Climate : </li></ul><ul><ul><li>WorldClim </li></ul></ul><ul><ul><li>TRMM (Tropical Rainfall Measuring Mission satellite ) </li></ul></ul><ul><li>Topography </li></ul><ul><ul><li>SRTM </li></ul></ul><ul><ul><li>Landscape </li></ul></ul>
  11. 11. Climate – Topography - Landscape Characterization of “events” - global” datasets on environment
  12. 12. Climate Characterization of “events” - global” datasets on environment
  13. 14. Topography
  14. 15. Significant Improvement GTOPO30 SRTM
  15. 16. Landscape Elevation Slope Aspect Landscape Class Moisture Solar Radiation Exposure Curvature
  16. 17. <ul><li>Soils </li></ul><ul><li>RASTA: Rapid Soil and Terrain Assessment </li></ul>
  17. 18. <ul><li>Soils : RASTA </li></ul>
  18. 19. <ul><li>Soils : RASTA: </li></ul>
  19. 20. <ul><li>Soils : RASTA: </li></ul>
  20. 21. <ul><li>Management </li></ul>Previous experiences (project BIOTEC-CIAT) Diseases Pests
  21. 22. <ul><li>Recording forms (unities, type) </li></ul><ul><li>Parametrized devices </li></ul><ul><li>Real-time control </li></ul>Nowadays ( ICTs – smart phones, internet) <ul><li>Management </li></ul>
  22. 23. <ul><li>Information transferred to databases </li></ul>
  23. 24. <ul><li>Information system </li></ul>
  24. 25. Site-specific agriculture based on farmers experiences (SSAFE) for fruits in Colombia <ul><li>Project components : </li></ul><ul><li>Characterization of any experiment that takes place on farm “events” </li></ul><ul><li>Data Analysis </li></ul><ul><li>Creating groups of fruit producers </li></ul><ul><li>Training </li></ul>
  25. 26. HOMOLOGUE <ul><li>Premise: crops will perform in a similar fashion in similar enviroments wherever they happen to be in space or time </li></ul><ul><li>What crops or varieties are likely to perform well where </li></ul><ul><li>If climate and soils have an influence on crops adaptation.Sites with similar soils and climate features will have a similar adaptability. </li></ul><ul><li>The objective is to identify potential sites for establishing crops and spread technologies from one site to another </li></ul>
  26. 27. Citrus Antioquia produces more citrus with half of the hectares cultivated in Tolima  Opportunity MADR (average 2002- 2008) Department Area (Has) Yield (Kg/ha) Antioquia 1,163 30,035 Tolima 2,413 8,625 Cesar 1,884 11,023 Cundinamarca 1,440 9,939 Magdalena 483 18,772 Bolívar 353 7,453 Risaralda 156 10,213 Córdoba 262 18,836
  27. 29. Data Analysis (to provide site-specific recommendations) <ul><li>OLS: (Ordinary least squares) </li></ul><ul><li>Robust regression: (Deal with outliers in data sets ) </li></ul><ul><li>Mixed models combined with BLUP (Best Linear Unbiased Predictor: provides linear estimates of fixed effects </li></ul><ul><li>Linear regressions </li></ul>Kg/plot = Climate (b 1 ) + Soils (b 2 ) + Management (b 3 ) + (B)
  28. 30. Non-linear regressions - Artificial Neural Networks   Data Analysis (to provide site-specific recommendations) Kg/plot Soil Management Extra info parameter Math. parameter Math. parameter Math. Climate Database
  29. 31. Analisis de relevancia: Interpretation of the information collected Identification of the most relevant variables in the production of Andean blackberry ( Rubus glaucus ) in Colombia (Jiménez, D., Cock, J., Satizábal, F., Barreto, M., Pérez-Uribe, A., Jarvis, A. and Van Damme, P., 2009. Computers and Electronics in Agriculture . 69 (2): 198–208
  30. 32. (a) Component plane of Andean blackberry yield, the scale bar (right) indi-cates the range value of productivity in kg/plant/week The upper side exhibits highvalues of yield, whereas the lower displays low values. (b) Kohonenmap displaying the resultant 6 clusters and their labels according to yield values. Identification of the most relevant variables in the production of Andean blackberry ( Rubus glaucus ) in Colombia Interpretation of the information collected Data Analysis
  31. 33. Components planes of the averages temperature: (a) temperature of the harvest month, (b) average temperature of the first month before harvest, (c) average temperature of the second month before harvest, and (d) average temperature of the third month before harvest. In all figures, the scale bar (right) indicates the range value in ◦C of temperature. The upper side exhibits high values, whereas the lower displays low values Identification of the most relevant variables in the production of Andean blackberry ( Rubus glaucus ) in Colombia Interpretation of the information collected
  32. 34. Component planes of the specifics geographic areas Nariño–la union–chical alto (left) and Nariño–la union–cusillo bajo (right). The highest values indicate presence and the lowest absence as they are categorical variables Identification of the most relevant variables in the production of Andean blackberry ( Rubus glaucus ) in Colombia Interpretation of the information collected
  33. 35. Site-specific agriculture based on farmers experiences (SSAFE) for fruits in Colombia <ul><li>Project components : </li></ul><ul><li>Characterization of any experiment that takes place on farm “events” </li></ul><ul><li>Data Analysis </li></ul><ul><li>Creating groups of fruit producers </li></ul><ul><li>Training </li></ul>
  34. 36. <ul><li>Creating groups of fruit producers </li></ul><ul><li>“ Collective knowledge is far more valuable than individual knowledge ” </li></ul><ul><li>Example: AACREA ( Argentine Association of Regional Consortiums for Agricultural Experimentation ) </li></ul><ul><li>http:// www.crea.org.ar / aacrea / site / PortalInstitucional - internet / index.html </li></ul><ul><li>AACREA : “ to promote the technological and managerial development of its members, through participative methods, to attain the all-round improvement of producers, technicians, and the rural community as a whole”. </li></ul><ul><li>Sharing knowledge </li></ul><ul><li>Discussions based on collective knowledge </li></ul><ul><li>Training </li></ul>
  35. 37. Creating groups of fruit producers <ul><li>Get contact with fruit producers </li></ul><ul><li>Training </li></ul><ul><li>Establishing groups - workshops </li></ul><ul><li>National tour of a “Rolling library” namely : Frutichiva to socialize the project, promote consumption and facilitate the information exchange </li></ul>
  36. 38. Site-specific agriculture based on farmers experiences (SSAFE) for fruits in Colombia <ul><li>Project components : </li></ul><ul><li>Characterization of any experiment that takes place on farm “events” </li></ul><ul><li>Data Analysis </li></ul><ul><li>Creating groups of fruit producers </li></ul><ul><li>Training </li></ul>
  37. 39. <ul><li>Training </li></ul><ul><li>Training our partners in every component in order to improve the system and make it sustainable </li></ul><ul><li>Collecting information </li></ul><ul><li>Characterization of any experiment on farm </li></ul><ul><li>Methodologies to provide site-specific recommendations </li></ul><ul><li>Data analysis procedures </li></ul><ul><li>Information systems </li></ul>
  38. 40. Thank you!

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