Classification of maize testing locations in Sub-Saharan Africa by using agroclimatic data

dc.creatorPollak, L.M.
dc.creatorPham, H.N.
dc.date2013-12-09T20:30:18Z
dc.date2013-12-09T20:30:18Z
dc.date1989
dc.date.accessioned2023-07-17T19:57:23Z
dc.date.available2023-07-17T19:57:23Z
dc.identifierhttp://hdl.handle.net/10883/3338
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7509131
dc.descriptionClassification of locations in CIMMYT's International Maize Testing Program in Sub-Saharan Africa into regions was done by using agroclimatic variables. The study was undertaken to improve the efficiency of the testing program. Agroclimatic variables used to classify locations included altitude, average monthly and total yearly rainfall, average monthly temperatures, average monthly minimum temperatures, average monthly maximum temperatures, and average yearly minimum and maximum temperatures. Averages were calculated over a minimum of 10 years' data. The classification procedures used were Ward's method of cluster analysis and canonical discriminant analysis. Good discrimination of regions of maize testing locations was achieved by using all the variables, and cluster analysis resulted in groups that can be defined as two areas of West Africa with different rainfall patterns, and three areas of East and South Africa withdifferent temperature patterns. Final determination of the efficiency and use of these regions and whether all locations were correctly classified will be determined by using input of collaborators with personal experience at the locations and actual practice in the International Maize Testing Program.
dc.description43-51
dc.formatPDF
dc.languageEnglish
dc.publisherConsiglio per la Ricerca e la sperimentazione in Agricoltura, Unità di Ricerca per la Maiscoltura
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
dc.rightsOpen Access
dc.source1
dc.source34
dc.sourceMaydica
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectCluster Analysis
dc.subjectCanonical Discriminant Analysis
dc.subjectZEA MAYS
dc.subjectVARIETY TRIALS
dc.subjectSTATISTICAL METHODS
dc.titleClassification of maize testing locations in Sub-Saharan Africa by using agroclimatic data
dc.typeArticle
dc.coverageSUB SAHARAN AFRICA
dc.coverageEAST AFRICA
dc.coverageWEST AFRICA


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