Abstract

Good index selection is key to minimising basis risk in weather index insurance design. However, interannual, seasonal, and intra-seasonal hydroclimatic variabilities pose challenges in identifying robust proxies for crop losses. In this study, we systematically investigated 574 hydroclimatic indices for their relationships with yield in Malaysia’s irrigated double planting system, using the Muda rice granary as a case study. The responses of seasonal rice yields to seasonal and monthly averages and to extreme rainfall, temperature, and streamflow statistics from 16 years’ observations were examined by using correlation analysis and linear regression. We found that the minimum temperature during the crop flowering to the maturity phase governed yield in the drier off-season (season 1, March to July, Pearson correlation, r = +0.87; coefficient of determination, R2 = 74%). In contrast, the average streamflow during the crop maturity phase regulated yield in the main planting season (season 2, September to January, r = +0.82, R2 = 67%). During the respective periods, these indices were at their lowest in the seasons. Based on these findings, we recommend temperature- and water-supply-based indices as the foundations for developing insurance contracts for the rice system in northern Peninsular Malaysia.

Highlights

  • The variability observed at both stations Alor Setar (AS) and Chuping (Ch) was similar across all indices; lesser amounts of rainfall in season 1 compared to season 2

  • The results indicated that different monthly statistics based on daily minimum and maximum temperatures, rainfall, and streamflow were correlated with rice yields at different growing stages at different seasons

  • Temperature, and water are all drivers of plant growth, and there exists a trade-off between water supply from direct rainfall, and temperature and solar radiation throughout the planting seasons

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Summary

Introduction

The responses of seasonal rice yields to seasonal and monthly averages and to extreme rainfall, temperature, and streamflow statistics from 16 years’ observations were examined by using correlation analysis and linear regression. We found that the minimum temperature during the crop flowering to the maturity phase governed yield in the drier off-season (season 1, March to July, Pearson correlation, r = +0.87; coefficient of determination, R2 = 74%). The average streamflow during the crop maturity phase regulated yield in the main planting season (season 2, September to January, r = +0.82, R2 = 67%). These indices were at their lowest in the seasons. Based on these findings, we recommend temperatureand water-supply-based indices as the foundations for developing insurance contracts for the rice system in northern Peninsular Malaysia

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