A seven-year study on the effects of fall soil tillage on yield-scaled greenhouse gas emission from flood irrigated rice in a humid subtropical climate

Bayer, Cimélio; Zschornack, Tiago; Pedroso, Gabriel Munhoz; Rosa, Carla Machado da; Camargo, Estefânia Silva; Boeni, Madalena; Marcolin, Élio; Reis, Cecília Estima Sacramento dos; Santos, Daiane Carvalho dos

doi:10.1016/j.still.2014.09.001

Cited by 54 publications

(50 citation statements)

References 39 publications

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“…The index was proposed by Mosier et al (2006) and used thereafter to characterize production systems by Van Groenigen et al (2010), Venterea et al (2011) and Bayer et al (2014), among others. In our study, maize yields were retrieved from historical data sets and averaged over the whole period of each experiment.…”

Section: Yield-scaled Global Warming Potentialmentioning

confidence: 99%

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Mitigating greenhouse gas emissions from a subtropical Ultisol by using long-term no-tillage in combination with legume cover crops

Bayer

Gomes

Zanatta

et al. 2016

Soil and Tillage Research

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Section: Yield-scaled Global Warming Potentialmentioning

confidence: 99%

“…Recently, however, GWP has been referred to food yield in so called "yield-scaled GWP", which has been proposed as an index for evaluating the efficiency per unit food yield of agricultural practices in decreasing GHG emissions (Venterea et al, 2011;Bayer et al, 2014;Sainju et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Mitigating greenhouse gas emissions from a subtropical Ultisol by using long-term no-tillage in combination with legume cover crops

Bayer

Gomes

Zanatta

et al. 2016

Soil and Tillage Research

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“…Daily N 2 O fluxes were calculated from hourly fluxes evaluated at 9:00 to 11:00 a.m. (Jantalia et al, 2008). More details of air sampling and gas flux calculation are presented in Bayer et al (2015).…”

Section: Air Sampling and N 2 O Analysismentioning

confidence: 99%

Sheep Excreta as Source of Nitrous Oxide in Ryegrass Pasture in Southern Brazil

Tomazi

Magiero

Assmann

et al. 2015

Rev. Bras. Ciênc. Solo

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. the highest N 2 O-N fluxes occurred 16 days after application of urine and dung, when the highest soil nitrate content was also recorded and the water-filled pore space exceeded 60 %. the mean ef for urine was 0.25 % of applied N, much higher than that for dung (0.06 %). We found that N 2 o-N emissions for the 90-day winter pasture period were 0.54 kg ha -1 for low grazing intensity and 0.62 kg ha -1 for moderate grazing intensity. Comparison of the two forms of excreta show that urine was the main contributor to N 2 o-N emissions (mean of 36 %), whereas dung was responsible for less than 0.1 % of total soil N 2 o-N emissions.

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“…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%

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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A seven-year study on the effects of fall soil tillage on yield-scaled greenhouse gas emission from flood irrigated rice in a humid subtropical climate

Cited by 54 publications

References 39 publications

Mitigating greenhouse gas emissions from a subtropical Ultisol by using long-term no-tillage in combination with legume cover crops

Mitigating greenhouse gas emissions from a subtropical Ultisol by using long-term no-tillage in combination with legume cover crops

Sheep Excreta as Source of Nitrous Oxide in Ryegrass Pasture in Southern Brazil

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

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