Identifying rice varieties for mitigating methane and nitrous oxide emissions under intermittent irrigation.

Autor: Loaiza S; International Center for Tropical Agriculture (CIAT), Cali, Colombia; Omicas Program, Pontificia Universidad Javeriana sede Cali, Calle 18 No. 118-250, Cali, C.P, 760031, Colombia; Department of Plant Sciences, University of California, Davis One Shields Avenue, Davis, CA, 95616, USA. Electronic address: s.p.loaiza@cgiar.org., Verchot L; International Center for Tropical Agriculture (CIAT), Cali, Colombia., Valencia D; Chemistry Department, Universidad del Valle, Cali, 760042, Colombia; Servicio Geológico Colombiano, Dirección de Laboratorios, Sedes Cali y Bogotá, 111321, Colombia., Costa C Jr; International Center for Tropical Agriculture (CIAT), Cali, Colombia., Trujillo C; International Center for Tropical Agriculture (CIAT), Cali, Colombia., Garcés G; Federación Nacional de Arroceros (FEDEARROZ), Bogotá, 111831, Colombia., Puentes O; Federación Nacional de Arroceros (FEDEARROZ), Bogotá, 111831, Colombia., Ardila J; Federación Nacional de Arroceros (FEDEARROZ), Bogotá, 111831, Colombia., Chirinda N; College of Agriculture and Environmental Sciences (CAES), Agricultural Innovations and Technology Transfer Centre (AITTC), Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco., Pittelkow C; Department of Plant Sciences, University of California, Davis One Shields Avenue, Davis, CA, 95616, USA.
Jazyk: angličtina
Zdroj: Journal of environmental management [J Environ Manage] 2024 Dec; Vol. 372, pp. 123376. Date of Electronic Publication: 2024 Nov 22.
DOI: 10.1016/j.jenvman.2024.123376
Abstrakt: Context or Problem: Most of the research evaluating rice varieties, a major global staple food, for greenhouse gas (GHG) mitigation has been conducted under continuous flooding. However, intermittent irrigation practices are expanding across the globe to address water shortages, which could alter emissions of methane (CH 4 ) compared to nitrous oxide (N 2 O) for reducing overall global warming potential (GWP). To develop climate-smart rice production systems, it is critical to identify rice varieties that simultaneously reduce CH 4 and N 2 O emissions while maintaining crop productivity under intermittent irrigation.
Objective: This study assessed CH 4 and N 2 O emissions, grain yield, and GWP of four rice varieties cultivated under intermittent irrigation in Colombia.
Methods: Four common commercial rice varieties were evaluated over two seasons-wet and dry in 2020 and 2021-in two Colombian regions (Tolima and Casanare).
Results: Wet-season crop productivity was similar among varieties. However, F68 in Tolima and F-Itagua in Casanare significantly reduced yields in the dry season, likely due to periods of crop water stress. Overall, CH 4 emissions and GWP were relatively low due to frequent field drainage events, with GWP ranging from 349 to 4704 kg CO 2 equivalents ha -1 . Accordingly, N 2 O emissions contributed 73% to GWP across locations, as wet-dry cycles can increase N 2 O emissions, creating a tradeoff for GWP when reducing CH 4 through drainage. Varieties F67 in Tolima and F-Itagua in Casanare significantly reduced GWP by 32-61% across seasons, primarily by decreasing N 2 O rather than CH 4 emissions.
Conclusions: Rice varietal selection achieved significant GWP mitigation with limited impacts on grain yield, mainly due to reduced N 2 O emissions under non-continuously flooded irrigation.
Implications/significance: This research underscores the critical role of rice varietal selection in addressing global climate-change and water-scarcity challenges, which drive the adoption of intermittent irrigation practices. By focusing on reducing N₂O emissions through appropriate variety selection, this study provides valuable insights for rice systems worldwide that are adapting to these pressing environmental challenges.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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