{"title":"尼日利亚阿南布拉州小农采用改良木薯生产技术","authors":"Uc Uzochukwu, N. Mgbedike, Obianefo Chukwujekwu","doi":"10.11648/J.JPS.20210904.11","DOIUrl":null,"url":null,"abstract":"The study on the adoption of improved cassava production technologies among small-scale cassava famers in Anambra State, Nigeria, specifically; described the socioeconomic characteristics of small-scale cassava farmers, determine the adoption levels of improved cassava production technologies, examine the effects of socioeconomic variables on the adoption level and identified constraints to adoption of improved cassava production technologies in the area. A multi stage sampling technique was employed to randomly sample a cross section of 120 small-scale cassava farmers. Data were collected using a well-structured questionnaire. The data were analyze with a combination of tool like descriptive statistics, multiple regression and principal factor analysis. The study revealed that the average age of the cassava farmers was 44.08 out of which 51.67% are male. The average educational level (9.17), farming experience (14.89), household size (5.86), annual income (861.103 USD), farm size (0.15 ha) and extension contacts (3.59) were also revealed. The results further showed that out of the eleven (11) improved cassava production variables considered, the respondents have not fully adopted any of the technologies. Findings on influence of socioeconomic characteristics on adoption shows that F-statistic value of 4.05*** was significant at 1% level of significance, which implies that the predictor variables influenced adoption. Major constraints of the cassava farmers were rotated into three component factors which are institutional (25.4%), economic (17.7%) and managerial factors (12.6%) using principal factor analysis. A KMO of 0.580 and cumulative Eigen-value of 55.7% explained the variance of factors. We therefore encourage extension agents to sit up in disseminating recent innovation to farmers.","PeriodicalId":16806,"journal":{"name":"Journal of Plant Sciences","volume":"34 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Adoption of Improved Cassava Production Technologies Among Small-Scale Farmers in Anambra State, Nigeria\",\"authors\":\"Uc Uzochukwu, N. Mgbedike, Obianefo Chukwujekwu\",\"doi\":\"10.11648/J.JPS.20210904.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study on the adoption of improved cassava production technologies among small-scale cassava famers in Anambra State, Nigeria, specifically; described the socioeconomic characteristics of small-scale cassava farmers, determine the adoption levels of improved cassava production technologies, examine the effects of socioeconomic variables on the adoption level and identified constraints to adoption of improved cassava production technologies in the area. A multi stage sampling technique was employed to randomly sample a cross section of 120 small-scale cassava farmers. Data were collected using a well-structured questionnaire. The data were analyze with a combination of tool like descriptive statistics, multiple regression and principal factor analysis. The study revealed that the average age of the cassava farmers was 44.08 out of which 51.67% are male. The average educational level (9.17), farming experience (14.89), household size (5.86), annual income (861.103 USD), farm size (0.15 ha) and extension contacts (3.59) were also revealed. The results further showed that out of the eleven (11) improved cassava production variables considered, the respondents have not fully adopted any of the technologies. Findings on influence of socioeconomic characteristics on adoption shows that F-statistic value of 4.05*** was significant at 1% level of significance, which implies that the predictor variables influenced adoption. Major constraints of the cassava farmers were rotated into three component factors which are institutional (25.4%), economic (17.7%) and managerial factors (12.6%) using principal factor analysis. A KMO of 0.580 and cumulative Eigen-value of 55.7% explained the variance of factors. We therefore encourage extension agents to sit up in disseminating recent innovation to farmers.\",\"PeriodicalId\":16806,\"journal\":{\"name\":\"Journal of Plant Sciences\",\"volume\":\"34 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Plant Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11648/J.JPS.20210904.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Plant Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/J.JPS.20210904.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adoption of Improved Cassava Production Technologies Among Small-Scale Farmers in Anambra State, Nigeria
The study on the adoption of improved cassava production technologies among small-scale cassava famers in Anambra State, Nigeria, specifically; described the socioeconomic characteristics of small-scale cassava farmers, determine the adoption levels of improved cassava production technologies, examine the effects of socioeconomic variables on the adoption level and identified constraints to adoption of improved cassava production technologies in the area. A multi stage sampling technique was employed to randomly sample a cross section of 120 small-scale cassava farmers. Data were collected using a well-structured questionnaire. The data were analyze with a combination of tool like descriptive statistics, multiple regression and principal factor analysis. The study revealed that the average age of the cassava farmers was 44.08 out of which 51.67% are male. The average educational level (9.17), farming experience (14.89), household size (5.86), annual income (861.103 USD), farm size (0.15 ha) and extension contacts (3.59) were also revealed. The results further showed that out of the eleven (11) improved cassava production variables considered, the respondents have not fully adopted any of the technologies. Findings on influence of socioeconomic characteristics on adoption shows that F-statistic value of 4.05*** was significant at 1% level of significance, which implies that the predictor variables influenced adoption. Major constraints of the cassava farmers were rotated into three component factors which are institutional (25.4%), economic (17.7%) and managerial factors (12.6%) using principal factor analysis. A KMO of 0.580 and cumulative Eigen-value of 55.7% explained the variance of factors. We therefore encourage extension agents to sit up in disseminating recent innovation to farmers.