Sensitivity analysis of WOFOST for yield simulation of cassava over the major growing areas of India

Authors

  • RAJI PUSHPALATHA ICAR – Central Tuber Crops Research Institute, Thiruvananthapuram, India
  • GOVINDAN KUTTY Indian Institute of Space Science and Technology, Thiruvananthapuram, India
  • BYJU GANGADHARAN ICAR – Central Tuber Crops Research Institute, Thiruvananthapuram, India

DOI:

https://doi.org/10.54386/jam.v23i4.140

Keywords:

Sensitivity, WOFOST, NASA POWER, cassava, yield prediction, heat stress

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.

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Published

01-12-2021

How to Cite

RAJI PUSHPALATHA, GOVINDAN KUTTY, & BYJU GANGADHARAN. (2021). Sensitivity analysis of WOFOST for yield simulation of cassava over the major growing areas of India. Journal of Agrometeorology, 23(4), 375–380. https://doi.org/10.54386/jam.v23i4.140

Issue

Vol. 23 No. 4 (2021): December

Section

Research Paper

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