Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/20299
Title: Impacts of human-related practices on 'Ommatissus lybicus' infestations of date palm in Oman
Contributor(s): al Kindi, Khalifa (author); Kwan, Paul H  (author); Andrew, Nigel R  (author)orcid ; Welch, Mitchell  (author)orcid 
Publication Date: 2017
Open Access: Yes
DOI: 10.1371/journal.pone.0171103Open Access Link
Handle Link: https://hdl.handle.net/1959.11/20299
Abstract: Date palm cultivation is economically important in the Sultanate of Oman, with significant financial investments coming from both the government and private individuals. However, a widespread Dubas bug (DB) ('Ommatissus lybicus' Bergevin) infestation has impacted regions including the Middle East, North Africa, Southeast Russia, and Spain, resulting in widespread damages to date palms. In this study, techniques in spatial statistics including ordinary least squares (OLS), geographically weighted regression (GRW), and exploratory regression (ER) were applied to (a) model the correlation between DB infestations and human-related practices that include irrigation methods, row spacing, palm tree density, and management of undercover and intercropped vegetation, and (b) predict the locations of future DB infestations in northern Oman. Firstly, we extracted row spacing and palm tree density information from remote sensed satellite images. Secondly, we collected data on irrigation practices and management by using a simple questionnaire, augmented with spatial data. Thirdly, we conducted our statistical analyses using all possible combinations of values over a given set of candidate variables using the chosen predictive modelling and regression techniques. Lastly, we identified the combination of human-related practices that are most conducive to the survival and spread of DB. Our results show that there was a strong correlation between DB infestations and several human-related practices parameters (R2 = 0.70). Variables including palm tree density, spacing between trees (less than 5 x 5 m), insecticide application, date palm and farm service (pruning, dethroning, remove weeds, and thinning), irrigation systems, offshoots removal, fertilisation and labour (non-educated) issues, were all found to significantly influence the degree of DB infestations. This study is expected to help reduce the extent and cost of aerial and ground sprayings, while facilitating the allocation of date palm plantations. An integrated pest management (IPM) system monitoring DB infestations, driven by GIS and remote sensed data collections and spatial statistical models, will allow for an effective DB management program in Oman. This will in turn ensure the competitiveness of Oman in the global date fruits market and help preserve national yields.
Publication Type: Journal Article
Source of Publication: PLoS One, 12(2), p. 1-17
Publisher: Public Library of Science (PLoS)
Place of Publication: United States of America
ISSN: 1932-6203
Field of Research (FOR): 070104 Agricultural Spatial Analysis and Modelling
080606 Global Information Systems
050103 Invasive Species Ecology
Socio-Economic Outcome Codes: 829899 Environmentally Sustainable Plant Production not elsewhere classified
970105 Expanding Knowledge in the Environmental Sciences
960413 Control of Plant Pests, Diseases and Exotic Species in Farmland, Arable Cropland and Permanent Cropland Environments
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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