Abstract
A study was conducted to assess the meteorological sensitivity of the WOFOST crop model in simulating the yield of cassava. The sensitivity was designed by changing the present meteorological data by ±1 to ±5 %. The results has shown the minimum temperature influencing the yield of cassava (variation: 4.94 to -7.65 %) followed by the maximum temperature (yield variation: 6.39 to -6.03 %) and solar radiation (yield variation: -2.41 to 2.07 %). The trends of these meteorological variables have been further analyzed over the major cassava growing regions in India to link its variations with cassava production. A significant trend has been detected during the monsoon season in northeast India, with a decadal change of 0.63ºC. At the same time, a significant trend was detected in the peninsular region during the winter season, with a value of 0.74ºC/decade. The rate of solar dimming in northeast India during the monsoon season was -0.53 hour/decade and during the autumn season, it was -0.25 hour/decade, respectively. The meteorological sensitivity of crop model on its yield and trends may assist the decision-makers in developing appropriate plans mitigations strategies to enhance crop production to ensure food security.
Highlights
Crop yield estimations at the field level are laborious and time-consuming, and the crop models are the better choice in such cases to estimate the crop growth and yield parameters
It is necessary to identify the influence of each meteorological input parameters into a crop model to ensure accuracy in the model output
The present study analyzes the meteorological sensitivity of the crop model WOrld FOod STudies (WOFOST) (Boogaard et al, 1998) in simulating the cassava yield, followed by the trend analysis of meteorological parameters such as minimum and maximum temperatures, sunshine duration/ radiation over the major cassava growing areas in India
Summary
Crop yield estimations at the field level are laborious and time-consuming, and the crop models are the better choice in such cases to estimate the crop growth and yield parameters. The present study analyzes the meteorological sensitivity of the crop model WOFOST (Boogaard et al, 1998) in simulating the cassava yield, followed by the trend analysis of meteorological parameters such as minimum and maximum temperatures, sunshine duration/ radiation over the major cassava growing areas in India.
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