Incidence Mapping of Calamansi Pests and Diseases in Victoria, Oriental Mindoro Through Geographic Information System (GIS)

Authors

  • Jona Vioren Ramos Department of Agricultural and Biosystems Engineering, Central Luzon State University, Science City of Muñoz, Nueva Ecija, Philippines
  • Marvin Cinense Department of Agricultural and Biosystems Engineering, Central Luzon State University, Science City of Muñoz, Nueva Ecija, Philippines

DOI:

https://doi.org/10.22137/ijst.2023.v7n2.05

Abstract

The study was conducted to develop a Geographic Information System (GIS) – based approach for Calamansi pests and diseases monitoring and management. It aims to determine the current status of citrus pests and disease incidence in Victoria, Oriental Mindoro. Detailed maps of the prevalent pests and diseases were generated which can serve as a basis for the management and implementation of control measures. Results showed that the most widespread calamansi disease in the area is the citrus canker while the areas with the most incidences of citrus diseases are Alcate, Antonino, and San Antonio. Moreover, the most prevalent insect pest affecting citrus production in the area is the citrus rind borer while the areas with the most incidences of insect pests are San Gelacio and Alcate. Furthermore, the areas of concern with the most incidences of pests and diseases are the biggest plantation areas in the municipality with San Antonio having 21-30% share and Alcate with 16-20% share.

References

Agri-Info Hub. (n.d.). AGRI-PROFILE: VICTORIA. http://orminagri.com/victoria1.html

Chang, K. T. (2016). Geographic information system. International Encyclopedia of Geography: People, the Earth, Environment and Technology, pp. 1-10. doi.org/10.1002/9781118786352.wbieg0152.

Evangelista, C.C. (2008). Development of integrated pest management for citrus. Agris. Food and Agriculture Organization of the United Nations. https://agris.fao.org/agris-search/search.do?recordID=PH2008000829

Foody, G.M. (2007). Map comparison in GIS. Progress in Physical Geography, 31(4), pp. 439-445.

Global Green Growth Institute. (2021). Climate Vulnerability and Risk Information System (CVRIS) for Agricultural Value Chain in Oriental

Mindoro. https://gggi.org/wp-content/uploads/2022/01/Policy-Advisory-Report-for-the-Development-of-Climate-Vulnerability-and-Risk-Information-System-CVRIS-for-Oriental-Mindoro-1.pdf

Gottwald, T.R. and Graham, J.H. (2005). Citrus canker. The American Phytopathological Society. https://www.apsnet.org/edcenter/disandpath/prokaryote/pdlessons/Pages/CitrusCanker.aspx

Liebhold, A.M., Rossi, R.E., Kemp, W.P. (1993). Geostatistics and geographic information systems in applied insect ecology. Annual Review of Entomology, 38(1), pp. 303-327.

Masagca, Jr. M., Jatico, W., Terones, L., Horlador, C.D., Bangalisan, H., Cueto, J., Gumba, M., Garachico, N.J., and Alfonso, Jr., C. (2021). Challenges of the Calamansi Industry in Oriental Mindoro: Pests and Diseases Management. Policy Brief Series 2021, No. 1.

Mindoro State University. (2022). CalamanSeek Guide for Farmers. Department of Agriculture- Philippine Rural Development Project. Google PlayStore.

Molina, A.B., Roa, V.N., Bay-Petersen, J., Carpio, A. T., and Joven, E.A. (1998). Managing banana and citrus diseases. Proceedings of a regional workshop on disease management of banana and citrus through the use of disease-free planting materials. https://swfrec.ifas.ufl.edu/hlb/database/pdf/00001180.pdf

Palma, Claire E.; Cruz, Philip S.; Cruz, Don Theon C.; Bugayong, Adrienne Marrie S.; Castillo, Agnes L. (2019). Chemical composition and cytotoxicity of Philippine calamansi essential oil. Industrial Crops and Products, 128(), 108–114. doi:10.1016/j.indcrop.2018.11.010

PhilAtlas. (2022). Victoria Province of Oriental Mindoro. https://www.philatlas.com/luzon/mimaropa/oriental-mindoro/victoria.html

Philippine Statistics Authority. (2022). Major Fruit Crops Quarterly Bulletin, July-September 2022. https://psa.gov.ph/fruits-crops-bulletin/calamansi

Ranjan, R., Vinayak, S. (2020). Application of remote sensing and GIS in plant disease management. In Precision Agriculture and Sustainable Crop Production, Chourasia, H. K., Acharya K., Singh, V. K. (eds.). Today & Tomorrow’s Printers and Publishers, New Delhi-110002 (India), pp. 509-522

Downloads

Published

2023-08-31