EVALUATION OF CLIMATE SMART INDICATORS INFLUENCING AGRICULTURAL PRACTICES ON SORGHUM ENTERPRISE IN KATSINA AND SOKOTO STATES.

D. Ekpa, G. Tiri, M. Mamman
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Abstract

Presently, the state of poverty in Nigeria is frightening and climate change impends food security and increase poverty. The study was motivated by the increasing consequence of climate change and its impact on farmers in the study area. Farming households changing agricultural practices as a result of global observation of environmental changes. This research established a link that exists between climate smart agricultural practices and poverty in Katsina and Sokoto States.  It was based on this that the study wants to evaluate the climate smart indicators influencing agricultural practices on sorghum enterprise in the study area. A multi-stage purposive and random sampling techniques was used to select three hundred (300) farming households in the study area. The objective was therefore, to determine factor influencing indicators of climate smart agricultural practices within sorghum enterprises in the study area. The study employed Principal Component Analysis (PCA), Ordinary Least Square (OLS) of the regression model to analyze the objective of the study housing material was significant at (P<0.01) and education was significant at (P<0.05). The study reccommends that:’Government, Non-Governmental Organizations and farmer’s associations should create  a conducive learning environment by developing trainings and farmer friendly programmes such as environmental friendly farming systems  to encourage rural household farmers develop interest and adopt climate smart agricultural farming practices. Extension delivery system  approach should be down to earth’’ to meet the imformation age.
影响卡齐纳州和索科托州高粱企业农业实践的气候智能指标评估。
目前,尼日利亚的贫困状况令人恐惧,气候变化威胁到粮食安全,加剧了贫困。这项研究的动机是气候变化日益严重的后果及其对研究地区农民的影响。由于全球对环境变化的观察,农户正在改变农业生产方式。这项研究在卡齐纳州和索科托州建立了气候智能型农业实践与贫困之间的联系。基于此,本研究希望对研究区影响高粱企业农业实践的气候智能指标进行评价。采用多阶段有目的随机抽样方法,在研究区选取300户农户。因此,目的是确定研究地区高粱企业气候智能型农业实践的影响因素指标。本研究采用主成分分析(PCA)、普通最小二乘法(OLS)的回归模型对研究目标进行分析,住房材料显著(P<0.01),教育显著(P<0.05)。该研究建议:“政府、非政府组织和农民协会应该通过开发培训和农民友好项目(如环境友好型农业系统)来创造一个有利的学习环境,以鼓励农村家庭农民培养兴趣并采用气候智能型农业实践。”推广传递系统的方法应“脚踏实地”,以适应信息时代。
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