Weather-based forewarning model for the incidence of mite,Tetranychus urticae Koch (Acari: Tetranychidae) in tomato

Population dynamics of the two-spotted spider mite, Tetranychus urticae Koch was studied to develop forewarning models. Incidence of T. urticae peaked twice, the first was at 42nd standard meteorological week, MSW (18 mites/leaflet) which is below the economic threshold and the second peak at 20th MSW (60 mites/leaflet). The population of mites was positively correlated with maximum temperature (r = 0.81), minimum temperature (r = 0.71), sunshine (r = 0.60), and wind speed (r = 0.58) and negatively correlated with RH I (r = -0.87) and RH II (r = -0.79). Step-wise regression equations revealed that maximum temperature, RH I, and wind speed had a great influence on the population build-up of mites. The developed model was validated satisfactorily with RMSE= 5.97 and R2=0.84, this shows that weather factors had an 84% influence on mites infestation and its population dynamics.

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Publication Details

Journal
Journal of Horticultural Sciences
Published
2024-12-23
DOI
https://doi.org/10.24154/jhs.v19i2.2246
Primary Topic
Insect-Plant Interactions and Control
Type
article
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article

Weather-based forewarning model for the incidence of mite,Tetranychus urticae Koch (Acari: Tetranychidae) in tomato

Sachin Suresh Suroshe, S. N. Bhagyasree, Gundappa Baradevanal, Pankaj Kumar Singh et al.
1 links
Journal of Horticultural Sciences
Insect-Plant Interactions and Control
article

Weather-based forewarning model for the incidence of mite,Tetranychus urticae Koch (Acari: Tetranychidae) in tomato

Sachin Suresh Suroshe, S. N. Bhagyasree, Gundappa Baradevanal, Pankaj Kumar Singh, Zakir Hussain
article en

Abstract

Population dynamics of the two-spotted spider mite, Tetranychus urticae Koch was studied to develop forewarning models. Incidence of T. urticae peaked twice, the first was at 42nd standard meteorological week, MSW (18 mites/leaflet) which is below the economic threshold and the second peak at 20th MSW (60 mites/leaflet). The population of mites was positively correlated with maximum temperature (r = 0.81), minimum temperature (r = 0.71), sunshine (r = 0.60), and wind speed (r = 0.58) and negatively correlated with RH I (r = -0.87) and RH II (r = -0.79). Step-wise regression equations revealed that maximum temperature, RH I, and wind speed had a great influence on the population build-up of mites. The developed model was validated satisfactorily with RMSE= 5.97 and R2=0.84, this shows that weather factors had an 84% influence on mites infestation and its population dynamics.

Journal of Horticultural SciencesVol. 19(2)
Indian Institute of Horticultural Research (IN), Indian Council of Agricultural Research (IN), National Bureau of Agricultural Insect Resources (IN), Indian Agricultural Research Institute (IN)
Indian Council of Agricultural Research, Indian Agricultural Research Institute
Openalex Percentile: Top 80%
Insect-Plant Interactions and Control
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Weather-based forewarning model for the incidence of mite,Tetranychus urticae Koch (Acari: Tetranychidae) in tomato — Sachin Suresh Suroshe, S. N. Bhagyasree, et al. · Journal of Horticultural Sciences (2024) | TGRS Research Map | TGRS