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Hot spot area analysis of onion armyworm outbreak in Nueva Ecija using geographic information system
R. T. Alberto,A. R. Biagtan,M. F. Isip,R. C. Tagaca 대한공간정보학회 2019 Spatial Information Research Vol.27 No.6
Onion is one of the high-value crops in the Philippines and Nueva Ecija is the leading onion producer in the country. Though onion is one of the most profitable high-value crops, it is very susceptible to armyworm infestations resulting in huge income loss to the farmers. To avoid losses in the future and expedite assistance by the government in the heavily infested areas, the pattern, spatial information and mapping of armyworm infestation and damage are information of vital importance. However, its importance is still far from realization by the farmers and decision makers, which at present are still depending on the traditional methods of estimating losses in yield/ha basis. Geographic Information System is the most advanced technology used in resources mapping which could also use in identifying heavily infested area through ‘‘Hot Spot Analysis’’. Hotspot analysis was conducted in this study to identify the spatial pattern and possible sources of armyworm infestation outbreaks. The result shows that the onion area of San Jose was classified as the highest hot spot area of armyworm infestation. On the other hand, the onion areas in the municipalities of Cuyapo, Guimba, San Leonardo, Rizal, General Natividad, Laur, and Bongabon, were also found to be high hot spot areas of infestation, though in moderate scale of damage. The municipalities of Lupao, Munoz, Gabaldon, Santo Domingo, Talavera, Quezon, and Aliaga, were found to be at very low to moderate hotspot status. GIS was proven to be effective in generating hot spot maps of armyworm based on the levels of infestation in the onion areas of Nueva Ecija.
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R. T. Alberto,M. F. Isip,A. R. Biagtan,R. C. Tagaca 대한공간정보학회 2019 Spatial Information Research Vol.27 No.3
Understanding the disease epidemiology of anthracnose-twister disease provide us with information about the spread of disease in different areas with different climates which necessitates site specific disease predictions, management and spread of infection to other areas. Anthracnose-twister disease is caused by Colletotrichum gloeosporioides and Gibberella moniliformis and is considered to be the most destructive disease of onion in the Philippines. The disease had spread in Nueva Ecija and neighboring onion growing provinces in Luzon. To prevent the same situation in the future, disease risk maps could be of great value among decision makers and farmers to minimize damage and losses due to the disease. A geographic information system is an essential tool in analyzing disease data associated with geographic locations which can generate spatial distribution, spread and occurrence of plant diseases in the form of maps. These can provide meaningful information that can be easily interpreted. In this study, the data of previous disease location was utilized to generate prediction and disease risk maps through interpolation using Kriging model. Based on the results, the prediction map suggests anthracnose-twister disease of onion will become an epidemic and the disease outbreak will most likely to occur in the southern part of Bongabon (Philippines). It shows that the southeastern part of Bongabon has a very high risk due to the high incidence rate (50.01% to 75.00%) on this area during the previous cropping seasons. To mitigate the situation in these areas it is recommended to avoid using white onion varieties which is very susceptible to anthracnose-twister, and spray potential fungicides 1 week after transplanting.
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