Yield-scaled greenhouse gas emissions from flood irrigated rice under long-term conventional tillage and no-till systems in a Humid Subtropical climate

Bayer, Cimélio; Costa, F. de S.; Pedroso, Gabriel Munhoz; Zschornack, Tiago; Camargo, Estefânia Silva; Lima, Magda Aparecida de; Frigheto, Rosa T.S.; Gomes, Juliana; Marcolin, Élio; Macedo, Vera Regina Mussoi

doi:10.1016/j.fcr.2014.03.015

Cited by 76 publications

(70 citation statements)

References 62 publications

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“…Additional details regarding this experiment can be found in Bayer et al (2014). (1) Rice growing systems reported by Bayer et al (2014). (2) The values in brackets mean applied nitrogen rates.…”

Section: Field Experimentsmentioning

confidence: 99%

“…Plant, soil, and greenhouse data were obtained from previous studies conducted in the same experiment (Bayer et al, 2014). Grain yield was determined with a plot harvester in the nine rice-growing seasons from 2002 to 2012 (9th to 19th year of the experiment).…”

Section: Experimental Datasetmentioning

confidence: 99%

“…Grain yield was determined with a plot harvester in the nine rice-growing seasons from 2002 to 2012 (9th to 19th year of the experiment). Yields for 2002/2003, 2003/2004, 2007/2008, 2009/2010, and 2011/2012 have already been reported by Bayer et al (2014). Baseline SOC data were obtained from Costa (2005) and Nascimento et al (2009).…”

Section: Experimental Datasetmentioning

confidence: 99%

“…Such strategies include no-tillage (Bayer et al, 2014), anticipated tillage (Bayer et al, 2015), and intermittent irrigation (Moterle et al, 2013;Zschornack et al, 2016), none of which decrease rice yields relative to traditional soil and water management practices. However, the high variability of soils, climate, and production systems encompassed by the 1.3 million ha of cropland in southern Brazil would make on-site quantification of CH 4 to assess site-specific variables a costly, labor-intensive task.…”

Section: Introductionmentioning

confidence: 99%

“…The soil and crop management schedules used are presented in table 1. Additional details regarding this experiment can be found in Bayer et al (2014). (1) Rice growing systems reported by Bayer et al (2014).…”

Section: Field Experimentsmentioning

confidence: 99%

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Daycent Simulation of Methane Emissions, Grain Yield, and Soil Organic Carbon in a Subtropical Paddy Rice System

Weiler

Tornquist

Zschornack

et al. 2018

Rev. Bras. Ciênc. Solo

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ABSTRACT:The DayCent ecosystem model, widely tested in upland agroecosystems, was recently updated to simulate waterlogged soils. We evaluated the new version in a paddy rice experiment in Southern Brazil. DayCent was used to simulate rice yield, soil organic carbon (SOC), and soil CH 4 fluxes. Model calibration was conducted with a multiple-year dataset from the conventional tillage treatment, followed by a validation phase with data from the no-tillage treatment. Model performance was assessed with statistics commonly used in modeling studies: root mean square error (RMSE), model efficiency (EF), and mean difference (M). In general, DayCent slightly underestimated rice yields under no-tillage (by 0.07 Mg ha -1 , or 9.2 %) and slightly overestimated soil C stocks, especially in the first years of the experiment. A comparison of observed and simulated CH 4 daily fluxes showed that DayCent could simulate the general patterns of soil CH 4 fluxes with slight discrepancies. Daily soil CH 4 fluxes were overestimated by 0.43 kg ha -1 day -1 (12 %). Growth-season CH 4 emissions under no-tillage were also somewhat overestimated (11 % or 45.29 kg ha -1). We conclude that DayCent simulated SOC, rice yield, and CH 4 with some inaccuracies, but the overall performance was considered adequate. However, the model failed to represent the observed potential of no-tillage to mitigate CH 4 emissions, possibly because model algorithms could not capture the actual field conditions derived from no-tillage management, such as soil redox potential, plant senescence, and surface placement of plant residue.

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Section: Field Experimentsmentioning

confidence: 99%

Section: Experimental Datasetmentioning

confidence: 99%

Section: Experimental Datasetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Field Experimentsmentioning

confidence: 99%

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Daycent Simulation of Methane Emissions, Grain Yield, and Soil Organic Carbon in a Subtropical Paddy Rice System

Weiler

Tornquist

Zschornack

et al. 2018

Rev. Bras. Ciênc. Solo

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Inclusion of microbial inoculants with straw mulch enhances grain yields from rice fields in central China

Wang

Tao

Liu

et al. 2020

Food and Energy Security

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Advancing effective methods for mitigating greenhouse gas emissions from rice (Oryza sativa L.) fields

Yadav,

Ghimire,

Paudel

et al. 2024

J of Sust Agri & Env

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The implications of global warming present significant threats to both crop productivity and environmental sustainability. The global population greatly depends on rice as a staple food, contributing significantly to global warming and agricultural greenhouse gas (GHG) emissions. Agricultural soils play a crucial role in the release and uptake of essential GHGs, including methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2), serving as both sources and sinks within the agricultural ecosystem. Notably, rice fields alone account for approximately 30% and 11% of global CH4 and N2O emissions from agricultural activities, respectively. As the demand for rice is expected to rise in the future, it becomes increasingly critical to address GHG emissions and minimise the detrimental environmental effects associated with rice production. This review provides a comprehensive synthesis of the available data regarding the influence of different crop management practices on GHG emissions in rice fields. We recognise the substantial potential for reducing GHG emissions through modifications in traditional crop management systems. Our analysis evaluates various options, such as adjustments in cropping practices, regulation of organic and fertiliser inputs, management of tillage techniques and irrigation strategies, and the selection of suitable cultivars, all of which can contribute to GHG emission reduction. It is crucial to consider that changes in management practices may have simultaneous and sometimes contradictory effects on different gases through various mechanisms. Therefore, our comprehensive evaluation aims to assess the potential global warming impact of each approach, considering the magnitude of their effects on all gases. This assessment seeks to identify suitable crop management practices that effectively reduce GHG emissions in rice cultivation while considering the overall environmental impact.

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Yield-scaled greenhouse gas emissions from flood irrigated rice under long-term conventional tillage and no-till systems in a Humid Subtropical climate

Cited by 76 publications

References 62 publications

Daycent Simulation of Methane Emissions, Grain Yield, and Soil Organic Carbon in a Subtropical Paddy Rice System

Daycent Simulation of Methane Emissions, Grain Yield, and Soil Organic Carbon in a Subtropical Paddy Rice System

Inclusion of microbial inoculants with straw mulch enhances grain yields from rice fields in central China

Advancing effective methods for mitigating greenhouse gas emissions from rice (Oryza sativa L.) fields

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