Determining the optimal planting window in two major corn growing areas in the Philippines
2009
Lansigan, F.P. | Salvacion, A.R. | Coladilla, J.O., University of the Philippines Los Baños, College, Laguna 4031 (Philippines)
Climate and weather play an important role in crop production since variability in weather and climate affects crop growth and development, defines crop productivity, and also determines the cropping calendar. An assessment of the effects of climate variability on crop productivity provides an evaluation of the vulnerability and risk of crop production due to climate variability. Advances in information and communication technologies as well as in various scientific disciplines have accelerated the integration of information and the generation of new knowledge using systems research tools such as process-based crop simulation models, geographic information system (GIS), remote sensing (RS), optimization techniques, geographic positioning system (GPS), and database management. Such advances and developments provide opportunities to better evaluate the effects of anticipated weather and climate variability on crop production. As climate change and variability has resulted in the shifts in the spatial and temporal distributions of hydrologic process including the disruption of the rainfall patterns, cropping calendar or planting window has been modified. One adaptation strategy to minimize the adverse impacts of climate variability is to modify or adjust the planting calendar considering the seasonal climate outlook. This study presents the use of stochastic weather data generator, a process-based crop simulation model, and risk analysis to determine the optimal planting window in two major corn growing areas in the Philippines namely: Isabela, and Bukidnon. Corn yield probabilities are determined for these areas given the seasonal climate outlook for different planting dates from which optimal planting window can be determined. Such information can be used to provide advisories to farmers and/or extension workers.
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