Decision support tools for farm-level fertilizer recommendation in Ethiopia
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Transcript of Decision support tools for farm-level fertilizer recommendation in Ethiopia
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Decision support tools for farm‐level fertilizer recommendation in Ethiopia
Tilahun Amede, Tadesse Asrat and Gizachew Legesse, Kindu Mekonnen, Addisu Asfaw, Mohammed Ibrahim, Temesgen Alene, Workneh Dubale, Peter Thorne and Lulseged Tamene
Workshop and Exhibition on Promoting Productivity and Market Access Technologies and Approaches to Improve Farm Income and Livelihoods in Ethiopia: Lessons from Action
Research Projects, ILRI, Addis Ababa, 8‐9 December 2016
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Background• Ethiopian agriculture is very old, traditional
• Low‐input, Low‐out put
• Characterized by Nutrient miningSoil erosion for centuriesLimited input application (18 kg ha‐1)Limited nutrient recycling (e.g manure for
cooking, plastering)
• Diverse in altitude, agroecology, food habit
• Agronomical Inefficient, low productivity per unit of land, labour, water
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Sustainable IntensificationSatisfying immediate and growing future needs
• Increased use of inputs (fertilizers, improved seeds, pesticides)
• Input Efficiency: More food, More money per unit of capital/ input (e.g. fertilizer); $$$
• Value addition: From subsistence to market‐oriented, nutrition‐rich systems
• Mechanization: tools enhancing production efficiency• Market incentives• Policy support
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Farming systems of Ethiopia
Amede etal., 2015
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Appreciating diversity; Wheat systems
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ATA did a very good job in promoting site specific fertilizer recommendation:
Confluence points and our sites
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Our treatments in Mehoni(Optimal nutrient applications)
• NP (90/45)• NPK (90/45/61)• NPKS (90/45/61/63)• NPKSZn (90/45/61/63/10• Minimum application (30% recommended NP)• Farmer’s fields (control)
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Fertilizer combination and rates used for the onfarm experiments
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Identifying Nutrient Management ZonesFields are a mosaic of habitats, each having unique biophysical characteristics that influence soil properties and crop yields. The effectiveness of matching fertilizer types to soil fertility problems rests on the ability to identify limiting factors, characterize sites, and develop appropriate recommendations. Approaches for identifying nutrient management zones require collection and interpretation of spatial data (yield, elevation, RS, electrical conductivity, soil nutrient maps, and Farmers’ classification criteria).
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Nutrient Zonation within the Wheat systems
Footslope
Hillslope
Midslope
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Our research (500 farmers fields) show three types of responses to application of various fertilizer
combinations
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Enda‐Mehoni
• Foot slopes: Very Good Crop and responded to fertilizer application;
• Midslopes: Crop is doing well and significantly responded to fertilizer application (300%);
• Hillslope: Very Bad crop Regardless of high rates of fertilizer application
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Wheat Grain yield under various Landscape positions in Mohoni�
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Nutrients
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10 Footslope Midslope Hillslope
33% NP NP NPK NPKS NPKSZn
Mohoni 2015
Mohoni 2014
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Bosena DistrictFootslope
Midslope
Hillslope
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Lemo Site• Foot slopes: Very Good
Crop and responded to fertilizer application;
• Midslopes: Crop is doing well and significantly responded to fertilizer application;
• Mid/Hillslope: Bad crop but the response to fertilizers is up to 200%
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�
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Foot slope Midslope Hillslope
Lemu 2014
Nutrients
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33% NP NP NPK NPKS NPKSZn
Lemu 2015
Wheat Grain yield under various Landscape positions in Lemo
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Net benefits of input application
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Fertilizer recommendation for Southern Tigray: too fragmented, difficult to operationalize
Enda‐mehoni
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District and Kebele DEM and Slope maps of Endamehoni
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District and Kebele DEM and Slope maps of Lemo
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Next steps• Validating our model in other two major cropping systems (Maize/Teff based and Sorghum‐based systems) in major regions; also with high value crops, with higher returns;
• Institutionalization: Assembling and re‐analysing the available country wide ATA data, based on top‐sequence/cropping system/soil types
• Through our national taskforce, and together with the ATA, EIAR and MoANR develop Farmer friendly tool for efficient use of inputs, country‐wide
• Through Regional RARIs, Strengthen our Policy dialogue with the regions and lobby for change in approaches across the regions
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Fertilizer recommendation DST
Soil NutrientInformation
Manure/ Compost
InformationLand parcel location ( Map) and Cropping information
“Green Book” of National Crop & Soil Specific Nutrient
Advice
Advisor – Farmer ConsultationInformation
Farm Tabular Nutrient Recommendation /Report
Farm Nutrient Management Land Parcel Specific Fertiliser Plan
Decision Support Tool Central Data System
Crop RequirementInformation
Schulte etal, 2015