Farmers’ Knowledge and Execution of Extension Recommendations to Mitigate Climatic Changes Effects on Some Fruit Crops in Qalyubia Governorate

Document Type : Original Article

Authors

1 Department of Agricultural Economics and Extension - Faculty of Agriculture - Benha University

2 Agricultural Extension Education, Faculty of Agriculture (El-shatby). Alexandria University, Egypt

Abstract

This research aims to identify the knowledge and executive level of farmers related to a number of technical extension recommendations for protecting mango, orange, palm, grape and olive crops of climatic changes in Qalyubia governorate. The two largest centers were selected in terms of the number of farmers holding fruit crops and the cultivated area of crops; the largest village in Toukh center was Bandar Toukh, and also the Al-Shaqr village in Kafr Shukr center. A questionnaire with individual interviews was carried out to collect data from a systematic random sample comprised of 117 respondent, representing 5% of the total number of fruit farmers in the selected villages, during December 2018. Data were analyzed using mean, standard deviation, percentages, and frequencies, additionally the simple correlation coefficient of Pearson, and multiple regression correlation models. Themost important results were as follows: 1) Majority of the respondents were classified as low and medium knowledge and executive level of the technical recommendation items related to protect mango, orange, palm, grape and olive crops of climate changes. 2) The results showed that there are significant positive correlation relationships between two dependent variables and education, owning a land, exposure to some extension communication methods, the knowledge motivation in the field of climate changes, the degree of readiness towards renewal, participation in formal community organizations, and attitude towards agricultural extension 3) The results also indicated that the variable of knowledge motivation degree of respondents is responsible for the interpretation 53.9% of the variation in two dependent variables.

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