Disease risk map of anthracnose-twister of onion based on previous disease locations as a future predictors
Tóm tắt
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.
Tài liệu tham khảo
Humayun, T., Hussain, M. B., Yasir, M., Hannan, A., & Sikandar, S. (2010). In vitro antibacterial activity of onion (allium cepa) against clinical isolates of vibrio cholera. Journal of Ayub Medical College, Abbottabad, 22(2), 160–163.
Alberto, R.T., Duca, M.S.V., & Santiago, S. E. (2001). Anthracnose: Serious disease of onion. In Proceedings of Annual Convention on Pest Management. Council Philippines, CSSAC/DA-RFU 5, Pili, Camarines Sur, Philippines. May 2–6, 2001.
FAO. (2003). Onions: Post-harvest operation. Food and Agriculture Organization of the United Nations (pp. 2–15).
DA. (2013). Onion production guide. City of Manila: Department of Agriculture, Bureau of Plant Industry.
PSA. (2014). Crops statistics of the Philippines. Philippine Statistics Authority (Bureau of Agricultural Statistics). September 2014. ISSN-2012-0487.
DA. (2014). Department of Agriculture; Luzon A Cluster. Value chain analysis and competitiveness strategy: Bulb onion. Philippine Rural Development Project. I-Plan Component Luzon A Cluster (pp. 7–33).
CLARRDEC. (2007). Major diseases of onion: A field guide. Central Luzon Agriculture and Resources Research and Development Consortium (CLARRDEC). A field guide (p. 18). Los Baños, Laguna: PCARRDDOST, CLARRDEC-CLSU. (CLARRDEC Farm Primer No. 02/2007).
Alberto, R. T., & Aquino, V. M. (2010). Characterization of Colletotrichum gloeosporioides (Penzig) Penzig and Sacc. (Anthracnose) and Gibberella moniliformis Wineland (Twister) infecting onions in the Philippines. Asia Life Sciences, 19(1), 1–36.
Kishojini, P., Pakeerathan, K., & Mikunthan, G. (2018). GPS based density and distribution mapping and composting a sustainable approach for monitoring and managing parthenium (Parthenium hysterophorus L.) in northern Sri Lanka. International Journal of Agriculture and Forestry, 8(4), 160–170. https://doi.org/10.5923/j.ijaf.20180804.05.
Burdon, J. J., & Thrall, P. H. (1999). Spatial and temporal patterns in coevolving plant and pathogen associations. American naturalis, 153, S15.
Adam, H. S. (2000). Disease risk mapping with metamodels for coarse resolution predictors: Global potato late blight risk now and under future climate conditions. Doctoral dissertation. https://krex.k-state.edu/dspace/bitstream/handle/2097/2341/AdamSparks2009.pdf?sequence=5. Accessed 27 July 2018.
Murphy, R. R., Curriero, F. C., Ball, W. P., & Asce, M. (2010). Comparison of spatial interpolation methods for water quality evaluation in the Chesapeake Bay. Journal of Environmental Engineering, 136, 160–171.
Alizadeh, M., Moharrami, M., & Rasoul, A. (2017). Geographic information system (GIS) as a tool in the epidemiological assessment of wetwood disease on elm trees in Tabriz City, Iran. Agronomical Research in Moldavia, 2(170), 91–100.
Alberto, R. T. (2014). Pathological response and biochemical changes in Allium cepa L. (bulb onions) infected with anthracnose-twister disease. Plant Pathology & Quarantine, 4(1), 23–31. https://doi.org/10.5943/ppq/4/1/4.
Alberto, R. T. (2003). Integrated management of onion anthracnose [Colletotrichum gloeosporioides (Penzig) Penzig and Sacc.]. Journal of Tropical Plant Pathology, 39(1&2), 43–48.
Naguleswaran, V., Pakeerathan, K., & Mikunthan, G. (2014). Biological control: A promising tool for bulb-rot and leaf twisting fungal diseases in red onion (Allium cepa L.) in Jaffna District. World Applied Sciences Journal, 31(6), 1090–1095. https://doi.org/10.5829/idosi.wasj.2014.31.06.292.