Energy budget and carbon footprint in a no-till and mulch based rice–mustard cropping system

Yadav, Gulab Singh; Das, Anup; Lal, Rattan; Babu, Subhash; Meena, Ram Swaroop; Saha, Pradipta; Singh, R. V.; Datta, M.

doi:10.1016/j.jclepro.2018.04.173

Cited by 182 publications

(70 citation statements)

References 54 publications

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“…The analysis of energy in the study was performed by comparing the energy input and output in all the treatment combinations considering differential requirement of inputs and management. Energy value of every treatment was calculated by converting their physical units to energy units through multiplication with the conversion coefficients (Yadav et al., ). The energy equivalent indices related to input and output; i.e., the specific energy (SE) was calculated by Equation 1 & 2 (Parihar et al., ).…”

Section: Methodsmentioning

confidence: 99%

Impact of tillage and crop establishment methods on crop yields, profitability and soil physical properties in rice–wheat system of Indo‐Gangetic Plains of India

Kumar

Gathala

Saharawat³

et al. 2019

Soil Use and Management

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Conservation agriculture (CA) based on best‐bet crop management practices may increase crop and water productivity, as well as conserve and sustain soil health and natural resources. In a 2‐year study, we assessed the effects of tillage and crop establishment (TCE) methods on productivity, profitability and soil physical properties in a rice–wheat (RW) system. The six TCE treatments were used to study the impact, which are puddled transplanted rice followed by conventionally tilled wheat (CTPR–CTW), direct‐seeded rice on the flat followed by zero‐till wheat (CTDSR–ZTW), zero‐till direct‐seeded rice with residue followed by zero‐till wheat with residue (ZTDSR+R–ZTW+R), transplanted rice after rotavator puddling followed by zero‐till wheat (RTTPR–ZTW), transplanted rice after rotavator puddling followed by rotary till wheat (RTTPR–RTW) and farmer practice rice–wheat (FP–RW). Result of the study revealed that mean rice yield was not significantly affected by different TCE methods. Wheat planted with ZTDSR+R–ZTW+R gave 30% larger grain yield than FP‐RW. Overall, among all the TCE treatments, the RW system yields and net returns were maximum under ZTDSR+R–ZTW+R. The fastest mean infiltration rate (0.10 cm hr–1) was registered in ZTDSR+R–ZTW+R plots, whereas the slowest was in FP‐RW plots (0.05 cm hr–1). Bulk density at 15–20 cm soil depth was least in ZTDSR+R–ZTW+R (1.70 Mg m–3) and greatest in FP‐RW (1.73 Mg m–3). Results from this study revealed that conventionally tilled (CT) and transplanting of rice could be successfully replaced by adoption of the profitable double ZT–RW system.

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Section: Methodsmentioning

confidence: 99%

Impact of tillage and crop establishment methods on crop yields, profitability and soil physical properties in rice–wheat system of Indo‐Gangetic Plains of India

Kumar

Gathala

Saharawat³

et al. 2019

Soil Use and Management

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“…The energy coefficients of inputs refer to the total consumed energy in the whole cycle of the production (from primary production to the end of process) (Mousavi-Avval et al, 2011;Hosseinzadeh-Bandbafha et al, 2018). For instance, the energy equivalent of diesel fuel is 56.3 -1 (Persiani et al, 2019) and biocide is 120 MJkg -1 (Yadav et al, 2018). The energy output refers to the gross energy content measured by laboratory bomb calorimeter tests (Mousavi-Avval et al, 2011).…”

Section: Energy Auditingmentioning

confidence: 99%

Energy flow modeling and optimization trends in food supply chain: a mini review

Nikkhah

Haute

2020

Current Opinion in Environmental Science & Health

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Energy auditing, modeling and optimization are the important tools which can be considered toward achieving a sustainable food supply chain (FSC). In this regard, energy modeling and optimization have become a hot topic in the food sector and thus, several mathematical and computational intelligent-based systems have been applied to model and optimize the energy flows of FSC. This study briefly reviewed the widely used mathematical (multiple linear regressions, data envelopment analysis) and computational intelligent-based (artificial neural networks, adaptive neuro fuzzy inference systems, genetic algorithm) approaches for modeling and optimization of the energy flow in FSC. Based on the literature review it can be inferred that computational intelligent based approaches could better model and optimize the energy flows than mathematical approaches and the performance of computational intelligent-based systems showed that this approach can be generally applicable for modeling and optimizing energy flows of FSC.

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“…Diesel combustion during farming operations is a significant contributor to global warming potential [12]. Pesticide application accounts for the lowest GHG contribution and this is associated with the low demand of sorghum for plant protection chemicals used for weed, disease, and insect control.…”

Section: Carbon Footprintmentioning

confidence: 99%

“…The amounts of carbon dioxide (CO 2 ), methane (CH 4 ), and nitrous oxide (N 2 O) emissions from various sources are converted to one unit, such as kilograms of CO 2 eq , emitted to the atmosphere and this is defined as the C footprint [11]. The C footprint can be quantified on a land-area basis as a spatial C footprint, on an output basis defined as per yield unit of produced biomass C footprint or on a produced energy basis [12,13].…”

Section: Introductionmentioning

confidence: 99%

“…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]. Crop production should take into account the C footprint of the whole biomass energy production chain, in particular at the farm stage.…”

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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Energy budget and carbon footprint in a no-till and mulch based rice–mustard cropping system

Cited by 182 publications

References 54 publications

Impact of tillage and crop establishment methods on crop yields, profitability and soil physical properties in rice–wheat system of Indo‐Gangetic Plains of India

Impact of tillage and crop establishment methods on crop yields, profitability and soil physical properties in rice–wheat system of Indo‐Gangetic Plains of India

Energy flow modeling and optimization trends in food supply chain: a mini review

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

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