نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری زراعت، دانشگاه تربیت مدرس، تهران
2 دانشیار، گروه زراعت، دانشکده کشاورزی، دانشگاه تربیت مدرس، تهران
3 استاد، گروه زراعت، پژوهشکده ژنتیک و زیست‌فناوری کشاورزی طبرستان، دانشگاه علوم کشاورزی و منابع طبیعی ساری
4 دانش‌آموخته دکتری مهندسی مکانیزاسیون کشاورزی، دانشکده مهندسی و فناوری کشاورزی، دانشکدگان کشاورزی و منابع طبیعی، دانشگاه تهران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Background and objectives: Energy is a limiting factor for agricultural sustainability due to costs and supply security. Agriculture section as one of the world's major food suppliers, has faced challenges in recent times due to increased energy consumption trends. This rise in energy consumption has led to increased production costs, negative impacts on food security, and environmental concerns. Therefore, achieving a balance between energy demand and supply in agricultural systems and assessing their economic performance is essential. With the recognition that soybean [Glycine max (L.) Merril] plays a crucial role in ensuring food security; a study was conducted in 2019 to analyze the energy flow and economic costs of soybean production at the provincial level in Mazandaran, Iran.
Materials and Methods: To assess the economic efficiency and energy consumption pattern in soybean farms, data were collected through direct interviews with 301 soybean farmers. The inputs used for estimating energy efficiency per hectare of soybean cultivation included fossil fuels, machinery, human labor, seeds, irrigation water, electricity, fertilizers, and chemical pesticides. The produced soybean grain was also considered as an output energy source. Life Cycle Cost (LCC) methodology was employed to evaluate the economic efficiency of soybean production; for this purpose, the farm gate was defined as the system boundary, and one hectare of soybean farm was taken as the base unit for all analyses. The social costs of emissions, in addition to the fixed and variable production costs that are addressed in most studies, were evaluated and analyzed. In the current study, the social costs of pollutant emissions in soybean production agroecosystems were considered from two aspects: (1) emissions on the farm and (2) pollutants generated from electricity generation. These costs were estimated using the standard coefficients established in previous researches.
Results: Based on the results, diesel fuel, nitrogen chemical fertilizers, and consumed seeds had the highest shares of total input energy in soybean production with 47.90%, 19.61%, and 13.53% respectively. The average energy productivity for soybean production in Mazandaran province was calculated to be 0.16 kg MJ-1. From this point of view, Galugah county was the best with 0.25 kg MJ-1, while Amol was the worst with 0.11 kg MJ-1 compared to other scrutinized counties. In terms of the type of consumed energy, the results indicated that the current soybean production in Mazandaran province is not sustainable due to heavy reliance on non-renewable energy resources such as diesel fuel and nitrogen chemical fertilizers. The LCC of soybean production in Mazandaran province, including variable, fixed, and social costs resulting from emissions, was estimated to be an average of $327.90 per hectare. Among these costs, variable costs accounted for the highest share in soybean production in the region with $299.52 per hectare (approximately 91%).The average wage paid to owners of agricultural machinery and equipment was $141.85 per hectare (equivalent to 47.36%), and the average wage for human labor was $85.77 per hectare (equivalent to 28.64%). These two factors were the first and second most significant contributors to production costs for the soybean crop, respectively. Together, they accounted for approximately 69% of the total production cost (LCC). Carbon dioxide emissions, accounting for 41.16% (mainly due to diesel fuel combustion and urea fertilizer consumption on the farm), constituted a significant portion of the social cost resulting from emissions (at $7.38 per ton).
Conclusion: In general, the results of the survey of 301 farms indicated that soybean production in Mazandaran province, with an average energy efficiency of 2.43, is economically justifiable in terms of energy balance and constitutes a profitable agricultural product in the region, with a profit-to-cost ratio of 1.86.
کلیدواژه‌ها [English]
12.Šarauskis, E., Romaneckas, K., Jasinskas, A., Kimbirauskienė, R. & Naujokienė, V. (2020). Improving energy efficiency and environmental mitigation through tillage management in faba bean production. Energy, 209, 118453. https://doi.org/10. 1016/j.energy.2020.118453
20.Mohamad, R.S., Verrastro, V., Cardone, G., Bteich, M.R., Favia, M., Moretti, M. & Roma, R. (2014). Optimization of organic and conventional olive agricultural practices from a life cycle assessment and life cycle costing perspectives. Journal of Cleaner Production, 70, 78-89. https://doi.org/10.1016/j.jclepro.2014.02.033
21.Reddy, V.R., Kurian, M. & Ardakanian, R. (2015). Life-cycle cost approach for management of environmental resources: a primer. Springer, Cham, 73 p.
22.Klöpffer, W. (2008). Life cycle sustainability assessment of products: (with Comments by Helias A. Udo de Haes, p. 95). The International Journal of Life Cycle Assessment, 13, 89-95. https://doi.org/10.1065/lca2008.02.376
28.Jirapornvaree, I., Suppadit, T. & Kumar, V. (2021). Assessing the economic and environmental impact of jasmine rice production: life cycle assessment and life cycle costs analysis. Journal of Cleaner Production, 303, 127079. https://doi.org/ 10.1016/j.jclepro.2021.127079
32.Nabavi-Pelesaraei, A., Rafiee, S., Mohtasebi, S.S., Hosseinzadeh-Bandbafha, H. & Chau, K.W. (2019). Comprehensive model of energy, environmental impacts and economic in rice milling factories by coupling adaptive neuro-fuzzy inference system and life cycle assessment. Journal of Cleaner Production, 217, 742-756. https://doi.org/10.1016/j.jclepro.2019.01.228
33.Hartman, G.L., West, E.D. & Herman, T.K. (2011). Crops that feed the world 2. soybean—worldwide production, use, and constraints caused by pathogens and pests. Food Security, 3, 5–17. https://doi.org/ 10.1007/s12571-010-0108-x
34.Ministry of Agriculture-Jahad. (2020). Annual agricultural statistics, Vol. 1. Ministry of Agriculture Planning and Economic Deputy, Iranian's Ministry of Agriculture-Jahad. Available at Web site www.maj.ir. [In Persian]
35.Cochran, W.G. (1977). Sampling techniques (3rd Edition). John Wiley and Sons: New York, USA, 442 p.
36.Kalantari, K.H. (2017). Data Processing and Analysis in Socio-Economic Research. Farhang Saba, Tehran, Iran, 402 p. [In Persian]
37.Kitani, O., Jungbluth, T., Peart, R.M. & Ramdani, A. (1999). CIGR handbook of agricultural engineering, Volume 5: Energy and biomass engineering. ASAE Publication, St Joseph, MI, 330 p.
38.Banaeian, N. & Zangeneh, M. (2011). Study on energy efficiency in corn production of Iran. Energy, 36(8), 5394-5402. https://doi.org/ 10.1016/j. energy.2011.06.052
39.Alimagham, S.M., Soltani, A., Zeinali, E. & Kazemi, H. (2017). Energy flow analysis and estimation of greenhouse gases (GHG) emissions in different scenarios of soybean production (case study: Gorgan region, Iran). Journal of Cleaner Production, 149, 621-628. https://doi.org/10.1016/j.jclepro.2017.02.118.
40.Heidari, M.D., Omid, M. & Akram, A. (2011). Energy efficiency and econometric analysis of broiler production farms. Energy, 36(11), 6536-6541. https://doi.org/10.1016 /j.energy.2011.09.011
41.Asgharipour, M.R., Mondani, F. & Riahinia, S. (2012). Energy use efficiency and economic analysis of sugar beet production system in Iran: a case study in Khorasan Razavi province. Energy, 44(1), 1078-1084. https://doi.org/ 10.1016/j.energy.2012.04.023
42.IPCC. (2006). IPCC guidelines for national greenhouse gas inventories. In: H.S. Eggleston L. Buendia K. Miwa T. Ngara & K. Tanabe (eds.). Institute for Global Environmental Strategies (IGES), Hayama, Japan. http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.htm
44.Engineering ToolBox. (2009). Combustion of fuels and nitrogen oxides (NOx) emission, [online] Available at Web site https://www.engineeringtoolbox.com/nox-emission-combustion-fuels-d_1086.html (verified 17 November 2021).
45.Majumdar, D. & Gajghate, D.G. (2011). Sectoral CO2, CH4, N2O and SO2 emissions from fossil fuel consumption in Nagpur city of central India. Atmospheric Environment, 45(25), 4170–4179. https://doi.org/10.1016 /j.atmosenv.2011.05.019
46.Ramachandra, T.V. & Shwetmala. (2012). Decentralised carbon footprint analysis for opting climate change mitigation strategies in India. Renewable and Sustainable Energy Reviews, 16, 5820–5833. https://doi.org/10.1016 j.rser.2012.05.035
47.Khoshnevisan, B., Rajaeifar, M.A., Clark, S., Shamahirband, S., Anuar, N.B., Mohd Shuib, N.L. & Gani, A. (2014). Evaluation of traditional and consolidated rice farms in Guilan Province, Iran, using life cycle assessment and fuzzy modeling. Science of The Total Environment, 481, 242–251. https://doi.org/10.1016 /j.scitotenv.2014.02.052
48.Pimentel, D. & Patzek, T.W. (2005). Ethanol production using corn, switchgrass, and wood; biodiesel production using soybean and sunflower. Natural Resources Research, 14(1), 65-76. https://doi.org/ 10.1007/s11053-005-4679-8
50.Ramedani, Z., Rafiee, S. & Heidari, M.D. (2011). An investigation on energy consumption and sensitivity analysis of soybean production farms. Energy, 36(11), 6340-6344. https://doi.org/ 10.1016/j.energy.2011.09.042
51.Fathi, R., Kheiralipour, K. & Azizpanah, A. (2019). Assessment of the pattern of energy consumption in dryland rape production and its environmental effects in Ilam province. Quarterly Energy Economics Review, 15(62), 155-179. [In Persian]
52.Omidmehr, Z. (2019). Comparison of energy productivity and global warming potential in rain-fed sunflower (Helianthus annuus L.) production systems. Journal of Agroecology, 11(2), 739-755. [In Persian]
53.Pirdashti, H., Pirdashti, M., Mohammadi, M., Gharavi Baigi, M. & Movagharnejad, K. (2015). Efficient use of energy through organic rice–duck mutualism system. Agronomy for Sustainable Development, 35, 1489-1497. https://doi.org/10.1007/s13593-015-0311-4
54.Janulevičius, A., Juostas, A. & Pupinis, G. (2013). Tractor’s engine performance and emission characteristics in the process of ploughing. Energy Conversion and Management, 75, 498–508. https://doi.org/ 10.1016/j.enconman.2013.06.052
55.Tabatabaeefar, A., Emamzadeh, H., Ghasemi Varnamkhasti, M., Rahimizadeh, R. & Karimi, M. (2009). Comparison of energy of tillage systems in wheat production. Energy, 34(1), 41-45. https://doi.org/10.1016 /j.energy. 2008.09.023
56.Safahani Langeroodi, A.R., Osipitan, O.A. & Radicetti, E. (2019). Benefits of sustainable management practices on mitigating greenhouse gas emissions in soybean crop (Glycine max). Science of the Total Environment, 660, 1593–1601. https://doi.org/10.1016/j.scitotenv.2019.01.074
57.Ray, J.D. & Fritschi, F.B. (2009). Soybean mineral nutrition and biotic relationships. P 29-56, In: L.R. Elsworth & W.O. Paley (eds.), Fertilizers: Properties, Applications and Effects, Nova Science Publishers, Inc., New York.
58.Rao, A.S. & Reddy, K.S. (2010). Nutrient management in soybean. P 161–190, In: G. Singh (eds.), The Soybean: Botany, Production and Uses, CAB International.
59.Fageria, N.K., Baligar, V.C. & Jones, C.A. (2011). Growth and mineral nutrition of field crops (3rd Edition). CRC press, 550 p.
60.McNeil, D.L. (2010). Biological nitrogen fixation in soybean. P 227–246, In: G. Singh (eds.). The Soybean: Botany, Production and Uses, CAB International.
61.Ohyama, T., Minagawa, R., Ishikawa, S., Yamamoto, M., Hung, N.V.P., Ohtake, N., Sueyoshi, K., Sato, T., Nagumo, Y. & Takahashi, Y. (2012). Soybean seed production and nitrogen nutrition. P 115-157, In: J.E. Board (eds), A Comprehensive Survey of International Soybean Research-Genetics, Physiology, Agronomy and Nitrogen Relationships, InTech.
62.Ozkan, B., Fert, C. & Karadeniz, C.F. (2007). Energy and cost analysis for greenhouse and open-field grape production. Energy, 32(8), 1500-1504. https://doi.org/10.1016/j.energy.2006.09.010
63.Pervanchon, F., Bockstaller, C. & Girardin, P. (2002). Assessment of energy use in arable farming systems by means of an agro-ecological indicator: the energy indicator. Agricultural Systems, 72(2), 149-172. https://doi.org/10.1016/S0308-521X(01)00073-7
65.Mohammadi Kashka, F., Tahmasebi Sarvestani, Z., Pirdashti, H., Motevali, A. & Nadi, M. (2022a). Assessing the environmental impacts of soybean [Glycine max (L.) Merril] cultivation in the eastern and central regions of Mazandaran province using life cycle assessment. Journal of Agroecology, 14(2), 309-330. [In Persian]
66.Kazemi, H., Bourkheili, S.H., Kamkar, B., Soltani, A., Gharanjic, K. & Nazari, N.M. (2016). Estimation of greenhouse gas (GHG) emission and energy use efficiency (EUE) analysis in rainfed canola production (case study: Golestan province, Iran). Energy, 116, 694-700. https://doi.org/10.1016/j.energy.2016.10.010
67.Rathke, G.W. & Diepenbrock, W. (2006). Energy balance of winter oilseed rape (Brassica napus L.) cropping as related to nitrogen supply and preceding crop. European Journal of Agronomy, 24(1), 35-44. https://doi.org/10.1016/j.eja.2005.04.003
68.Signor, D. & Cerri, C.E.P. (2013). Nitrous oxide emissions in agricultural soils: a review. Pesquisa Agropecuária Tropical, 43(3), 322–338. https://doi.org/10.1590/S1983-
40632013000300014
69.Mohammadi Kashka, F., Tahmasebi Sarvestani, Z.A., Pirdashti, H., Motevali, A. & Nadi, M. (2022b). Evaluation of management factors affecting soybean [Glycine max (L.) Merril] yield gap in Mazandaran province using comparative performance analysis (CPA). Crop Production, 15(1), 73-100. [In Persian]
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