Citation
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.
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Official URL or Download Paper: https://www.mdpi.com/2071-1050/13/9/5207
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Agriculture Faculty of Engineering |
DOI Number: | https://doi.org/10.3390/su13095207 |
Publisher: | Multidisciplinary Digital Publishing Institute |
Keywords: | Hydroclimatic indices; Weather index insurance; Regression; Rice yield |
Depositing User: | Ms. Nuraida Ibrahim |
Date Deposited: | 11 Jan 2023 08:26 |
Last Modified: | 11 Jan 2023 08:26 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/su13095207 |
URI: | http://psasir.upm.edu.my/id/eprint/96525 |
Statistic Details: | View Download Statistic |
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