DETERMINANTS OF ADOPTION OF IMPROVED (BH-140) MAIZE VARIETY AND ITS MANAGMENT PRACTICES THE CASE OF SOUTH ARI WOREDA, SOUTH OMO ZONE, SNNPRS, ETHIOPIA

GISHU NIGATU HAREGU
2018
This study was conducted at South Ari Woreda, South Omo Zone, Southern Nations, Nationalities and Peoples Regional State of Ethiopia. Due to low level adoption of improved (BH-140) maize variety and different constraints, the maize production and productivity is low. The aim of this study was to identify the determinants of adoption improved (BH-140) maize variety and its management practice in the study area. From the total 2403 households found in four sampled kebeles, 142 sample households
more » ... sample households were selected by using systematic random sampling technique taking into account proportional to size to the population procedure. Primary data were collected from survey questionnaires, key informants interview and focus group discussions whereas, Secondary data were obtained from the books, journals, published and unpublished documents. Data were analyzed using SPSS.version.16, descriptive statistics, Chi-square and t-test and logistic regression (binary logit) model. The descriptive statics result of the total respondent's 48.59% were non-adopters of the improved (BH-140) maize variety, while 51.41 % of respondents were adopters improved (BH-140) maize variety. The status of management practices were not carried out as appropriate level as recommended for maize production due weak extension advisory service and lack of close supervision with farmers. Farmers had preferred (BH-140) maize variety over the local one is due to its high yielding, early maturing, Disease resistance, price advantage, storability and market demand. The chi-square and t-test result indicated use of credit, contact with extension agent, experience, TLU, income, sex, education, Attitude, Feilday, demonstration and training were significance relation with adoption of improved(BH-140) maize variety. Results of the binary logistic result indicate that from 14 explanatory variables, 8 of them education, contact with extension agents, sex, Livestock, Income, demonstration credit were significant and positively affect [...]
doi:10.20372/nadre:1554185423.47 fatcat:46xcybmpzjhcnozc5dwgcxtbda