Demand-Driven Technologies for Sustainable Maize ... - IITA

344Table 1. Relative radii of the five concentric circles used in a field surveyconducted in four communities in the Sudan savanna ecologyof Nigeria.Code Circle Specifi cation usedHC Homestead Circle [Reference Circle(RC)]50 m around dwellinghouse1 st Circle First concentric circle [after RC 51-150 m(ARC)]2 nd Circle Second concentric circle (ARC) 151-350 m3 rd Circle Third concentric circle (ARC) 351-750 m4 th Circle Fourth concentric circle (ARC) 751 m to 1.5 km and overRC = Reference Circle (50 m away from homestead at a location)ARC = After Reference Circle.Table 2. Codes and description of explanatory variable used in stepwisemultiple regression analysis of the data collected during a fieldsurvey of maize adoption conducted in four communities in theSudan savanna ecology of Nigeria.S/No. Code Description of variable1 AGE Age of respondent2 YRSCM Years of maize cultivation experience3 NOFF Number of farm plots owned4 ETAF Estimated total area of farms5 YOC Yield of other crops6 NOMAZF Number of maize farmers7 PMAZ Price of maize8 PROFG Prices of other food grains9 NOMAZF Number of maize farmers10 NDFR Need for different food11 CPTPROB Control of pest problems12 NOEAV Number of extension agent visits13 PRFERT Price of fertilizer14 NOFS Number of on- farm thefts15 PRMAZS Price of maize seed.16 PEDU Education level of respondents17 FMLYSI Family size18 NOKID Number of childrenfor demonstrations of the technology by all the participating groupswere all confi ned to within 50 m radius around each community.Other data collected included crop enterprise combinations,distance of maize farm plots from the communities, crop yieldand prices, fertilizer costs, ranking of the potential of maize, andsocioeconomic characteristics related to the subject under study.Data analysisDescriptive statistical methods were employed to interpret the data.Correlation analysis of 18 variables in the survey tool (Table 2) wasconducted to identify variables that were statistically related. Noncorrelatedvariables were fi tted into a stepwise multiple regression