Impact of reduced tillage on CO 2 emission from soil under maize cultivation

Rutkowska, Beata; Szulc, Wiesław; Sosulski, Tomasz; Skowrońska, Monika; Szczepaniak, J.

doi:10.1016/j.still.2018.02.012

Cited by 62 publications

(22 citation statements)

References 26 publications

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“…Aslam et al [21] reported that CO 2 -C emissions from silt loam soil under maize cultivated in the plow tillage system ranged from 36 to 81 kg CO 2 -C ha −1 per day. In our study, soil CO 2 -C fluxes during the maize growing season (from maize sowing to harvest) ranged from 8.8 to 45.8 kg CO 2 -C ha −1 day −1 (Table 3) and were lower compared to the ones reported in other studies focusing on maize [14,[24][25][26]. Relatively low CO 2 -C fluxes may have resulted from the drought occurring in the year of the study.…”

Section: Relationship Between Co 2 -C Soil Emissions and Temperature contrasting

confidence: 65%

“…Globally, more than 29% of anthropogenic CO 2 additions to the atmosphere came from the loss of soil organic matter in cultivated soils [11]. Besides the content of soil organic carbon, the key factors affecting the CO 2 emission from arable soil are the temperature and soil moisture, soil tillage intensity and fertilization [12][13][14]. An increase in the soil temperature leads to a higher soil respiration rate, whereas long periods of drought can significantly reduce the soil respiration [6].…”

Section: Introductionmentioning

confidence: 99%

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CO2 Emissions from Soil Under Fodder Maize Cultivation

Sosulski¹,

Szymańska²,

Szara³

2020

Agronomy

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The paper presents the results of a study aimed at assessing the total respiration of arable soil under maize fodder cultivation in the climate conditions of Central Poland over the dry growing season. The study was carried out between 22 April and 30 September 2012 (24 test dates). Total CO2-C emissions from the soil were measured in situ by means of the chamber method. The measured total CO2-C fluxes showed a high variability over the study period (3.63–302.31, mean 84.58 mg CO2-C m−2 h−1). Cumulative CO2-C soil emissions reached 3214.9 kg CO2-C ha−1 during the maize growing season and 106.8 kg CO2-C ha−1 in the post-harvest month. In the specific weather conditions of the year of the study (summer drought), CO2-C fluxes from the soil were stronger correlated with the soil NO3−-N content than with atmospheric temperature and soil moisture. The relationship between total soil CO2-C emissions and soil NH4+-N content was described by a negative correlation. Intensive CO2-C fluxes from the soil coincided with rapid maize development stages (8–15 leaf stage) and, to a lower extent, with earlier leave development stages. Total CO2-C emissions during the emergence, pre-reproductive and reproductive maize stages and, particularly, in the post-harvest period, were lower. Intensive nitrification of the soil, in dry season such as the one of 2012, could serve as an indicator of high CO2-C emissions from the soil. However, further studies are needed to confirm this finding. Decomposers probably used soil NH4+-N in the organic matter degradation process intensively and could compete with nitrifiers and maize roots for this soil source of mineral nitrogen.

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Section: Relationship Between Co 2 -C Soil Emissions and Temperature contrasting

confidence: 65%

Section: Introductionmentioning

confidence: 99%

CO2 Emissions from Soil Under Fodder Maize Cultivation

Sosulski¹,

Szymańska²,

Szara³

2020

Agronomy

Self Cite

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“…Effective methods (i.e., methods which have the potential to mitigate emissions in agriculture) need development, because current decreases in these areas of emission levels are insufficient [6]. However, development of the following methods for carbon (C) reduction in agriculture are promising: precision farming; improved fertilization management; cultivation of crops with a higher potential for C sequestration (i.e., C4 photosynthesis cycle crops); and lastly, but not all-inclusively, the implementation of organic fertilizers and alternative soil amendments to replace synthetic fertilizers [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…Greenhouse gas emissions can be divided into external and on-farm emissions [11]. These emissions are a result of production processes and application of agricultural inputs, such as pesticides, fertilizers, seeds, and combustion of diesel oil during farm operations [8,19]. Production and application of fertilizers is a significant contributor to the emissions of GHG from arable crop production [11,12,20,21].…”

Section: Introductionmentioning

confidence: 99%

“…Biomass use for production of heat, electricity, and fuel has significantly increased in recent years [30]. Using energy crops with a high C sequestration potential such as sweet sorghum for energy purposes represents an almost-closed CO 2 cycle [8,10]. It is believed that the biofuels production processes give the same amount of CO 2eq as was fixed in the biomass through photosynthesis at the production stage of the raw material [31].…”

Section: Introductionmentioning

confidence: 99%

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Sustainable Production of Sweet Sorghum as a Bioenergy Crop Using Biosolids Taking into Account Greenhouse Gas Emissions

Głąb

Sowiński

2019

Sustainability

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Currently, little data are available on greenhouse gas (GHG) emissions from sweet sorghum production under temperate climate. Similarly, information on the effect of bio-based waste products use on the carbon (C) footprint of sorghum cultivation is rare in the literature. The aim of this study was to evaluate the agronomical and environmental effects of the application of biosolids as a nitrogen source in the production of sweet sorghum as a bioenergy crop. The yield of sorghum biomass was assessed and the GHG emissions arising from crop production were quantified. The present study focused on whether agricultural use of sewage sludge and digestate could be considered an option to improve the C footprint of sorghum production. Biosolids—sewage sludge and digestate—could be recognized as a nutrient substitute without crop yield losses. Nitrogen application had the greatest impact on the external GHG emissions and it was responsible for 54% of these emissions. CO2eq emissions decreased by 14 and 11%, respectively, when sewage sludge and digestate were applied. This fertilization practice represents a promising strategy for low C agriculture and could be recommended to provide sustainable sorghum production as a bioenergy crop to mitigate GHG emissions.

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Daily and seasonal variations of soil respiration from maize field under different water treatments in North China

Zhang,

Han,

et al. 2024

Ecosphere

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To further evaluate the effect of water stress on soil respiration (RS), reveal the influencing factors of daily and seasonal RS, and systematically evaluate and compare the sensibility of different machine learning algorithms (multiple nonlinear regression [MNR], support vector machine regression [SVR], backpropagation artificial neural network [BPNN]) to estimate RS from a maize field under water stress condition, the field experiments were conducted within a maize field in Inner Mongolia, China, during the entire 2019 growing season. Various levels of deficit irrigation were conducted in the vegetative, reproductive, and mature stages. Our research indicated that soil CO2 fluxes from 100% evapotranspiration treatment (Tr1) were significantly greater than various deficit irrigation treatments (Tr2, Tr3, Tr4) during each growth stage of summer maize. The cumulative soil CO2 fluxes of Tr2, Tr3, and Tr4 decreased 24.8%, 30.3%, and 43.7% compared with Tr1, respectively. We determined that the drivers affecting the daily RS were soil temperature at 5 cm depth (TS,5) and soil surface temperature (TSF), followed by water‐filled porosity (WFPS) at 5 cm depth, but no significant correlations were observed at 25 cm depths. TS,5 and TSF also performed similar correlation with seasonal RS with R greater than 0.753 among all water treatments, followed by chlorophyll content with R greater than 0.726. During the whole growing season, the BPNN model exhibited the best predicting result, and could explain the 60%–80% and 87.8% of the variations of RS at the daily and seasonal scales, with root mean square error of 48.7–100.9 mg m−2 h−1 and 91.5 mg m−2 h−1, respectively. The SVR and MNR models could estimate the 47.9%–57% and 39.9%–52.1% of the daily RS and 81.4% and 78.6% of the seasonal RS, respectively. Overall, our study indicated the machine learning algorithms could be successfully applied to estimate RS at daily and seasonal scales from a maize field under water stress condition.

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Impact of reduced tillage on CO 2 emission from soil under maize cultivation

Cited by 62 publications

References 26 publications

CO2 Emissions from Soil Under Fodder Maize Cultivation

CO2 Emissions from Soil Under Fodder Maize Cultivation

Sustainable Production of Sweet Sorghum as a Bioenergy Crop Using Biosolids Taking into Account Greenhouse Gas Emissions

Daily and seasonal variations of soil respiration from maize field under different water treatments in North China

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