Ramy Mahmoud ^(1)*, Mahmoud Alio ⁽¹⁾ and Georges Makhoul ⁽²⁾

 (1). Department of Agricultural Economics, Faculty of Agricultural Engineering, Tishreen University, Syria.

(2). Horticulture Department, Faculty of Agricultural Engineering, Tishreen University, Syria.

(*Corresponding Author: Ramy Mahmoud, Email: ramymah92@gmail.com )

Received: 9/04/2022             Accepted: 6/06/2022

Abstract: 

This research aims to determine environmental and geographical characteristics that affect Citrus farms productivity in latakia governate. The research has been conducted using on-site form for the season (2020-2021) distributed to a random sample of farmers with a number of 380. The research depended on the descriptive and analytical method and was completed by cluster analysis which enabled of dividing the sample to four specific groups and internally homogeneous based on the studied factors (Aleyrodidae – phyllocnistis citrella – Citrus Mal secco – citrus scab – Mites – Aonidiella aurantii – salinity – lime – slope – moisture – frost – altitude and distance from sea level). Where altitude and distance from sea level were adopted as basic criteria to determine geographical locations. In the next step, variance analysis conducted to compare the average productivity of each item in these four groups in order to choose the best group. The results reveal that the first group was the best for  varieties Navel orange، Java orange and Blood orange while the second group was the best for varieties Navel orange، Blood orange ، valencia، Clementine ،Satsuma and the pummelo and the third group was the best for varieties Valencia ، Clementine، Mandarin، Meyerlemon and Grapefruit as for the last group was the best for . Meyerlemon  and limes balady.

Key words: Citrus, Cluster Analysis, Geographical Locations, Average Productivity

Full paper in Arabic: pdf