Abstract
PurposeIn recent years, agricultural activities in the Mekong Delta have frequently faced the potential risks of drought, saline intrusion and unusually heavy rainfall because of climate change, leading to a decline in crop yield. Therefore, this study aimed to establish rice planting seasons in An Giang, an upper-located province in the Mekong Delta.Design/methodology/approachThe impacts of seasonal variation on the key rice seasons were simulated using the Food and Agriculture Organization-crop model for the OM6976 rice variety grown in the study area. For the simulation, the model combined crop, soil, weather and crop management data.FindingsThe results show that seasonal variation because of changes in weather factors leads to alternation in crop yields across the study area. Specifically, the spring and summer rice planting seasons are advanced by one to two weeks compared with the baseline, and crop yield increased by 5.9% and 4.2%, respectively. Additionally, planting for the autumn–winter rice season on 3 August increased crop yield by up to 8.1%.Originality/valueIn general, rice planting seasons that account for weather factor changes effectively reduce production costs and optimise production.
Highlights
In the last two decades, under the impact of climate variability (ICV), rainfall has changed significantly in various regions of the world (APN, 2010; Kontgis et al, 2019; Furuya and Koyama, 2005), leading to a lack of water for irrigation activities in the dry season, flooding in the rainy season (Brauman et al, 2013) and extreme rainfall events causing losses after© Van Hong Nguyen and Hoang Phan Hai Yen
By focusing on rice paddies across An Giang Province as a typical case study, this study aimed to highlight the role of weather factors in crop productivity through a combination of statistical analysis and crop model simulation
Results indicated a strong linear correlation between the model and the observed yield corresponding to the spring, summer and autumn–winter planting seasons [Figure 3 (a), 3(b), 3(c)] in subregion I, with d, R2 and root mean square error (RMSE) varying from 0.84–0.93, 0.89–0.94 and Density and applications rate
Summary
In the last two decades, under the impact of climate variability (ICV), rainfall has changed significantly in various regions of the world (APN, 2010; Kontgis et al, 2019; Furuya and Koyama, 2005), leading to a lack of water for irrigation activities in the dry season, flooding in the rainy season (Brauman et al, 2013) and extreme rainfall events causing losses after© Van Hong Nguyen and Hoang Phan Hai Yen. Both authors reviewed and submitted the final version of the manuscript
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