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- W2136082309 abstract "Classification of locations in CIMMYT's Inter national 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 pro gram. Agroclimatic variables used to classifY locations includ ed altitude, average monthly and total yearly rainfall, aver age monthly temperatures, average monthly minimum temper atures, average monthly maximum temperatures, and average yearly minimum and maximum temperatures. Averages were calculated over a minimum of 10 years' data. The classifica tion 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 with different 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" @default.
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- W2136082309 modified "2023-09-22" @default.
- W2136082309 title "Classification of maize testing locations in Sub-Saharan Africa by using agroclimatic data" @default.
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