Energy flow analysis and estimation of greenhouse gases (GHG) emissions in different scenarios of soybean production (Case study: Gorgan region, Iran)

Alimagham, S M; Soltani, Afshin; Zeinali, E; Kazemi, Hossein

doi:10.1016/j.jclepro.2017.02.118

Cited by 29 publications

(15 citation statements)

References 29 publications

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“…System production in equivalent energy production (GJ ha -1 ) was obtained multiplying pasture phase production (total herbage production and sheep LW gain) and crop phase production (soybean yield) by their caloric values. The caloric values used were 18.05 MJ kg −1 for above-ground biomass (Fuksa et al 2013), 13.1 MJ kg −1 for meat sheep carcass (Silva et al 2005), and 15.05 MJ kg −1 for soybean grain (Alimagham et al 2017). The meat equivalent energy was measured multiplying LW gain by equivalent carcass (44.1% of LW; Carvalho et al (2006)), multiplying by the equivalent energy.…”

Section: System Production and Resource-use Efficiencymentioning

confidence: 99%

Integrated crop-livestock system with system fertilization approach improves food production and resource-use efficiency in agricultural lands

Farias

Dubeux

Savian

et al. 2020

Agron. Sustain. Dev.

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Integrated crop-livestock systems (ICLS) can be an alternative to increase the productivity of agroecosystems by enhancing nutrient cycling via grazing animals. Despite the holistic approach that bears the designing of ICLS, fertilization practices are proceeded in a conventional crop basis, disregarding nutrient fluxes at the appropriate spatial and temporal dynamics. We argue that fertilization practices in ICLS must follow the same integrated approach. To test this, we compared a conventional crop fertilization strategy versus a system fertilization approach applied to two production systems being a conventional cropping system and ICLS. The conventional cropping system consisted of a soybean crop succeeded by a non-grazed Italian ryegrass cover crop. The ICLS model consisted of a soybean-Italian ryegrass rotation grazed by sheep. In the conventional crop fertilization strategy phosphorus and potassium were applied at soybean sowing and nitrogen at the Italian ryegrass establishment. The system fertilization consisted of the application of all nutrients during the Italian ryegrass establishment. Accordingly, treatments were fertilization strategies in a factorial framework with production systems randomly distributed in a complete block design with four replicates. Results indicated for the first time greater daily herbage accumulation rate (24%; P < 0.01) and total herbage production (18%; P < 0.05) in the system fertilization compared with conventional crop fertilization. Consequently, system fertilization allowed for greater stocking rates in the pasture phase (17%; P < 0.05). The ICLS presented greater equivalent soybean yield (P < 0.001), energy production (P < 0.01), and system productivity (P < 0.05) compared with the cropping system, regardless of fertilization strategies. Soybean yield was not affected by fertilization strategies or grazing. In conclusion, the adoption of system fertilization strategy and crop-livestock integration enhance the production without jeopardizing soybean grain yields, so that land use is optimized by a greater energy production per unit of nutrient applied.

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Section: System Production and Resource-use Efficiencymentioning

confidence: 99%

Integrated crop-livestock system with system fertilization approach improves food production and resource-use efficiency in agricultural lands

Farias

Dubeux

Savian

et al. 2020

Agron. Sustain. Dev.

View full text Add to dashboard Cite

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“…Plenty of studies had estimated the efficiency of different crops using parametric and nonparametric techniques: for example, Kizilaslan (2009) conducted a study using a nonparametric approach to investigate consumption efficiency for cherries production in Turkey; Mohammadi and Omid (2010) greenhouse cucumber in Iran; S. Singh et al (1988) in six different agricultural climate zones in Indian Punjab; Ozkan et al (2004) in greenhouse vegetables; Mandal et al (2002) on soybean in India; Alimagham et al (2017) on soybean in Iran; Pishgar-Komleh et al (2012) on potato crop in Iran; Hatirli et al (2005) in agriculture production in Turkey; G. Singh et al (2004) on wheat production in India; Mohammadi et al (2008) on potato in Iran; and Hatirli et al (2006) on tomato in Turkey.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating the Economic Viability of Cotton Growers in Punjab Province, Pakistan

et al. 2020

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Considering the farmer’s decision of quitting cotton plantation due to low economic incentives, the current research is intended to evaluate the economic viability of cotton growers in Punjab. A comprehensively pretested questionnaire was used to gather the information from 240 cotton growers in face-to-face interviews. The cost–benefit ratio was estimated by calculating incurred variable costs, revenue generated, net farm income, and gross margin. The data envelopment analysis was applied to explore the economic, technical, and allocative efficiencies of the cotton producers. The second-stage regression analysis was also conducted to evaluate the socioeconomic factors affecting farmer’s efficiencies by applying the Tobit regression model. The small farmers were found to be most vulnerable group with low returns on investments and low technical and economics efficiencies score. The results also indicate that the financial constraints, difficulty to access agriculture credit, access to extension services, and lack of formal education are the main factors affecting farmer’s efficiency. The government should regulate the input prices and agriculture department should provide formal training to the farmers to adopt better management practices to reduce cost of production.

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“…In another attempt the energy use efficiency of semi‐mechanized and traditional cultivation of rice production in Mazandaran province was reported as 3.08 and 3, respectively 24 . Both AghaAlikhani et al 24 and Zangeneh et al 11 showed that high‐level technology of production consumed less input energy and also had higher energy use efficiency but their results have not been statistically proven.On the other hand, Eskandari Cherati et al 12 Alimagham et al 13 investigated the mechanization systems of soybean production; they showed that the traditional production of soybean consumed less energy and achieved higher energy use efficiency, which proves the lack of technology management in developing countries.…”

Section: Resultsmentioning

confidence: 99%

“…Zangeneh et al, 11 Eskandari Cherati et al 12 and Alimagham et al 13 compared different type of technology levels on potato, rice, and soybean production, respectively, in Iran; but none of these comparisons have been statistically proved. To the best of our knowledge, there is no study on different mechanization cropping systems of sunflower production in Iran in terms of energy, economic, and GHG indices.…”

Section: Introductionmentioning

confidence: 99%

Optimization of energy, economic, and environmental indices in sunflower cultivation: A comparative analysis

Nategh

Banaeian

Gholamshahi

et al. 2020

Env Prog and Sustain Energy

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This study examined the input energy, economic indices, and Greenhouse Gas (GHG) emissions in sunflower farm enterprises of Kermanshah province of Iran. Different mechanization production systems involving traditional, semi‐mechanized, and mechanized ones were statistically compared. Results revealed that mechanized farms consumed more total inputs energy, while possessed significantly higher yield and better economic indices. In which, the human labor, diesel fuel, and fertilizer were the most predominant inputs in GHG emissions. In particular, traditional, semi‐mechanized and mechanized farms emitted 358, 386, and 438 kg CO2/ha, respectively. Also, technical efficiencies were reported as 0.88, 0.86, and 0.96, for traditional, semi‐mechanized, and mechanized farms, respectively. The relationship among different variables including energy inputs, GHG emissions, output energy, and benefit to cost ratio was studied using econometric modeling. Data envelopment analysis (DEA) and multi‐objective genetic algorithm (MOGA) were also applied to detect a set of Pareto frontiers in the combination of energy, environmental, and economic indices (energy consumption, GHG emissions, and benefit to cost ratio as three selected output parameters) for sunflower production. It has been observed that the capability of MOGA for energy saving was higher than DEA. Application results of DEA and MOGA combined algorithms showed that diesel fuel and water had the highest and lowest potential for total energy savings, respectively.

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Energy flow analysis and estimation of greenhouse gases (GHG) emissions in different scenarios of soybean production (Case study: Gorgan region, Iran)

Cited by 29 publications

References 29 publications

Integrated crop-livestock system with system fertilization approach improves food production and resource-use efficiency in agricultural lands

Integrated crop-livestock system with system fertilization approach improves food production and resource-use efficiency in agricultural lands

Estimating the Economic Viability of Cotton Growers in Punjab Province, Pakistan

Optimization of energy, economic, and environmental indices in sunflower cultivation: A comparative analysis

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