RESEARCH ARTICLE
Quantifying and Comparing Greenhouse Gas Emissions in Monsoon Rice Production: A Comprehensive Analysis of Transplanting and Broadcasting Sowing Methods in Myanmar
Myint Myat Moe1, *, Isriya Bunyasiri1, Prapinwadee Sirisupluxna1
Article Information
Identifiers and Pagination:
Year: 2024Volume: 18
E-location ID: e18743315290024
Publisher ID: e18743315290024
DOI: 10.2174/0118743315290024240122052257
Article History:
Received Date: 21/11/2023Revision Received Date: 06/01/2024
Acceptance Date: 12/01/2024
Electronic publication date: 29/01/2024
Collection year: 2024
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Introduction
Rice is a staple food, an economic crop, and the second-highest source of greenhouse gas (GHG) emissions in the agricultural sector in Myanmar. To develop the rice sector in a sustainable way, this study aimed to determine the comparative GHG emissions between the two major sowing methods used in monsoon rice production.
Methods
Next, comparative GHG emissions analysis was done by using the Student t-test. This study first quantified GHG emissions from land preparation to straw burning by using emission factors for agricultural inputs and the formulation, default values, and scaling factors of a carbon footprint calculator customized for rice products (CF-Rice).
Results
Soil and water management was the largest contributor among the management practices in monsoon rice production and accounted for 64.8% of the total GHG emissions. At 4,479.5 kg CO2 eq. ha-1, GHG emissions from the broadcasting (BC) method were significantly higher than those from the transplanting (TP) method.
Conclusion
Therefore, the TP method is a better sowing technique than the BC method for reducing GHG emissions without reducing grain yield.