Discipline: Engineering
The effect of hydro-meteorological variable on rice production was analyzed. The direct impact of these factors on rice yield was ascertained through inferential statistic rather than through biotechnology. Specifically, the study aimed to establish statistically the effect of solar radiation and temperatures on rice grain yield in provinces serviced by the National Irrigation Administration. The weather data of the Province of Nueva Ecija, Philippines were used to represent the prevailing conditions in the region. The statistical study strongly suggested that natural factors were most influential in the sustainability of the natural resource and could serve as a framework for regional planning, management and decision-making. Polynomial regression models were derived using forward selection procedure and were subsequently tested. The model Y = 7.19 - 0.0077*SR + 0.0365*TMIN + 0.002429*TMAX adequately and significantly provided quantitative trends on the effect of the amount of solar radiation and the maximum and minimum temperature on the rice grain yield. Although the validity of the regression equation was limited to the region studied, the model could be used as a management tool for the sustainable development of an irrigation system.
ISSN 0118-7473 (Print)
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