Application of rainfall analysis, biophysical modeling and GIS to agroclimatic decision support in Madiama Commune, Mali (West Africa)

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dc.contributor.authorBadini, Oumaren
dc.contributor.authorDioni, L.en
dc.contributor.departmentSustainable Agriculture and Natural Resource Management (SANREM) Knowledgebaseen
dc.coverage.spatialMadiama Communeen
dc.coverage.spatialMalien
dc.coverage.spatialSahelen
dc.coverage.spatialWest Africaen
dc.coverage.temporal1970 - 2000en
dc.date.accessioned2016-04-19T18:09:04Zen
dc.date.available2016-04-19T18:09:04Zen
dc.date.issued2001en
dc.description.abstractAn analysis and understanding of the intimate relationships between the weather, soils and agricultural production systems, and especially the complexities associated with the variability and distribution of rainfall and soil type are essential elements in improving crop production and agricultural planning decision making. In the present paper, knowledge from the analysis of historical rainfall records and predictive information based on the "response farming" approach have been combined with GIS and biophysical simulation modeling of soil water balance and crop production functions to assess the agroclimatic performances of a 90-day millet cultivars in Madiama, Mali. For each of two groups of rainfall onset date (early and late), the crop water stress, crop yields as well as overall stress indices in reference to yield potential permitted by different soils under low and optimum nitrogen input levels have been simulated, analyzed and mapped to illustrate how this approach could work for advisors and farmers in the study region. From the analysis of the rainfall records good relationships are found between rain onset dates and seasonal rain amounts and duration. Also, the Cropping System Simulation Model (CropSyst) used in combination with the weather analysis is found to be a useful tool in aiding determine soil suitability of crops, screen technologies and build recommendations packages for a response farming type approach.en
dc.format.mimetypeapplication/pdfen
dc.identifier66en
dc.identifier.citationPaper presented at the SANREM CRSP Research Scientific Synthesis Conference, Athens, GA, 28-30 November 2001en
dc.identifier.other66_APPLICATION_OF_BIOPHYSICAL_MODELING.htmen
dc.identifier.urihttp://hdl.handle.net/10919/65606en
dc.language.isoen_USen
dc.subjectTrainingen
dc.subjectDryland farmingen
dc.subjectSemiarid zonesen
dc.subjectRainfed agricultureen
dc.subjectFood securityen
dc.subjectGISen
dc.subjectModelingen
dc.subjectRainfall variabilityen
dc.subjectFertilizationen
dc.subjectSoil typesen
dc.subjectNitrogenen
dc.subjectCrop yieldsen
dc.subjectWater stressen
dc.subjectRisken
dc.subjectCropsysten
dc.subjectMilleten
dc.subjectSoil-water balanceen
dc.subjectResponse farmingen
dc.subjectDecision supporten
dc.subjectFarm/Enterprise Scale Field Scaleen
dc.titleApplication of rainfall analysis, biophysical modeling and GIS to agroclimatic decision support in Madiama Commune, Mali (West Africa)en
dc.title.alternativeApplication of biophysical modeling and GIS to agroclimatic sustainability assessment and classification in Madiama commune, Malien
dc.typePresentationen
dc.type.dcmitypeTexten

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