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Epidemiology of tomato yellow leaf curl begomovirus in the Fayium area, Egypt
Author(s) -
AboulAta A. E.,
Awad M. A. E.,
AbdelAziz S.,
Peters D.,
Megahed H.,
Sabik A.
Publication year - 2000
Publication title -
eppo bulletin
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.327
H-Index - 36
eISSN - 1365-2338
pISSN - 0250-8052
DOI - 10.1111/j.1365-2338.2000.tb00899.x
Subject(s) - tomato yellow leaf curl virus , begomovirus , biology , virology , plant virus , whitefly , veterinary medicine , population , cucumovirus , horticulture , virus , cucumber mosaic virus , medicine , environmental health
Tomato yellow leaf curl begomovirus (TYLCV) severely invaded tomato plantations in Egypt (Lower and Middle Egypt) in 1989. This study aimed to discover the relationship between TYLCV and other epidemic‐associated factors in the Fayium area. The rate of TYLCV infection was inspected visually for three successive years (1994/1996) in the Fayium area. During the same period, whiteflies were collected for virus detection using bait‐plant and DNA hybridization techniques. DAS‐ELISA was used to detect mixed virus infections in tomato plants. TYLCV infection was prevalent (60–68%) and severe (2.1–3.0) in the Fayium fields. Cucumber mosaic cucumovirus (CMV) was found in some fields (5–28%) with moderate severity (1.0–20). Potato Y potyvirus (PVY) and potato leaf roll polerovirus (PLRV) were found in few fields (5–19% and 5% respectively) at very low severity. There was a negative correlation between TYLCV occurrence and distance from the source of infection, and a positive correlation (98%) between TYLCV intensity and percentage of viruliferous whiteflies in 1994 and 1995. There was no positive correlation between TYLCV and the total population of whiteflies caught during the same period. Five percent of viruliferous whiteflies, as proved by cDNA hybridization, led to 46% TYLCV infection. The same percentage of whiteflies, as shown by bioassay, led to 68% TYLCV infection. Monitoring of viruliferous whiteflies could be used for early prediction of TYLCV infection.