Optimal Cropping Pattern in Afghanistan Considering Environmental Sustainability
الموضوعات :
حسین علی سلطانی
1
(دانش آموخته کارشناسی ارشد گروه اقتصاد کشاورزی، دانشکده کشاورزی، دانشگاه شهید باهنر کرمان، ایران)
الهام خواجه پور
2
(استادیار گروه اقتصاد کشاورزی، دانشکده کشاورزی، دانشگاه شهید باهنر کرمان، ایران)
الکلمات المفتاحية: goal programming, linear programming, Optimal cropping pattern, Pesticides, chemical fertilizers,
ملخص المقالة :
Environmental sustainability is one of the most important considerations in planning and managing agriculture in any country nowadays. Agriculture plays an important role in Afghanistan's economy and employment. Herat province is rich in agricultural production in Afghanistan. To achieve environmental sustainability along with profitability, the present research aimed to develop an optimal cropping pattern for Afghanistan with environmental considerations. The crops studied include wheat, barley, sesame, cumin, and saffron, which accounted for more than 70 percent of the cropping area in Herat province. The goal and linear programming model were used to determine the optimal cropping pattern. The goals of reducing the use of chemical fertilizers and pesticides along with maximizing gross margins were used in the goal model with the aim of achieving environmental sustainability. The results of the linear model, aimed at maximizing gross margins, showed that in the optimal pattern of the region, the cultivated area of sesame, barley, and saffron should be increased and the cultivated area of wheat and cumin should be decreased versus the status quo. In addition, the results of goal models in different scenarios showed significant changes in comparison to the current cropping pattern.
Afghanistan Ministry of Agriculture and Livestock (2017). Office of statistics and information. Statistical reports of yield. Unpublished Report. Kabul. Afghanistan.
Amini Fasakhodi, A., Nouri, S. H., & Amini, M. (2010). Water resources sustainability and optimal cropping pattern in farming systems: A multi-objective fractional goal programming approach. Water Resource Management, 24(15), 4639–4657. DOI 10.1007/s11269-010-9683-z
Charnsungnern, M., & Tantanasarit, S. (2017). Environmental sustainability of highland agricultural land use patterns for Mae Raem and Mae Sa watersheds, Chiang Mai Province. Kasetsart Journal of Social Sciences, 38(2), 169-174.
Directing department of Agriculture and Livestock of Herat Province (2017). Statistical Reports. Unpublished Report. Herat. Afghanistan.
Fazlodin, F. (2008). Economics of agricultural development. Kabul. Kabul University Press (In Persian).
Fernando, W.G.D., Ramarathnam, R., & Nakkeeran, S. (2009). Advances in crop protection practices for the environmental sustainability of cropping systems. In: Integrated pest management: innovation-development process, Springer, Dordrecht, 131-162
Golestani, A. (2007). Attention to the agricultural sector is Attention to the national economy. Kabul. Kabul University Press (In Persian).
Herat (2020). Herat Province in Afghanistan. Afghanistan. image of the region. Accessed November 9, 2020. http:// gatel.forumdjakarta.co
Joolaie, R., Abedi Sarvestani, A., Taheri, F., Van Passe, S., & Azadi, H. (2017). Sustainable cropping pattern in North Iran: application of fuzzy goal programming. Environment, Development and Sustainability, 19(6), 2199–2216. DOI 10.1007/s10668-016-9849-9
Karandish, F. (2019). Applying grey water footprint assessment to achieve environmental sustainability within a nation under intensive agriculture: A high-resolution assessment for common agrochemicals and crops. Environmental Earth Sciences, 78(6), 200.
Koupahi, M. (1984). Linear programming application in agriculture. Tehran: Tehran University Press (In Persian).
Mardani Najafabadi, M., Ziaee, S., Nikouei, A., & Ahmadpour Borazjani, M. (2019). Mathematical programming model (MMP) for optimization of regional cropping patterns decisions: A case study. Agricultural Systems, 173, 218–232.
Mardani, M., Ziaei, S., & Nikouei, A. (2018). Optimal cropping pattern modifications with the aim of environmental-economic decision making under uncertainty. International Journal of Agricultural Management and Development, 8(3), 365-375.
Meyer, B., Lescot. J.M., & Laplana, R. (2009). Comparison of two spatial optimization techniques: A framework to solve multi objective land use distribution problems. Environmental Management, 43(2), 264.
Montazar, A. (2013). A decision tool for optimal irrigated crop planning and water resources sustainability. Journal of Global Optimization, 55(3), 641–654.
Mortazavi, S.A., Hezareh, R., Ahmadi Kaliji, S., & Shayan Mehr, S. (2014). Application of linear and non-linear programming model to assess the sustainability of water resources in agricultural patterns. International Journal of Agricultural Management and Development, 4(1), 27-32.
Ortuño, M. T, & Vitoriano, B. (2011). A goal programming approach for farm planning with resources dimensionality. Annals of Operations Research, 190(1), 181–199.
RaheliNamin, B., Mortazavi, S., & Salmanmahiny, A. (2016). Optimizing cultivation of agricultural products using socio-economic and environmental scenarios. Environmental Monitoring and Assessment, 188(11), 627. https://doi.org/10.1007/s10661-016-5599-2
Ramezani Etedali, H., Ahmadaali, KH., Gorgin, F., & Ababae, B. (2019). Optimazation of the cropping pattern of main cereals and improving water productivity: Application of the Water Footprint Concept. Irrigation and Drainage, 68(4), 765–777. DOI: 10.1002/ird.2362
Sabouri, A. (2007). Agricultural talent. Kabul: Kabul University Press (In Persian).
Sahoo, B., Lohani, A.K, & Sahu, R.K. (2006). Fuzzy multiobjective and linear programming based management models for optimal land-water-crop system planning. Water Resources Management, 20(6), 931–948. DOI: 10.1007/s11269-005-9015-x C
Samiee, S., & Rezaei-Moghaddam, K. (2018). Consequences of tillage technology: The sustainability perspective (Case of Fars Province, Iran). International Journal of Agricultural Management and Development, 8(3), 409-420.
Srivastava, P., & Mohan Singh, R. (2017). Agricultural land allocation for crop planning in a canal command area using fuzzy multi-objective goal programming. Journal of Irrigation and Drainage Engineering, 143(6), 04017007
Vivekanandan, N., Viswanathan, K., & Gupta, S. (2009). Optimization of cropping pattern using goal programming approach. OPSEARCH, 46(3), 259–274.IN
Zenga, X., Kanga, Sh., Li, F., Zhangc, L., & Guoa, P. (2010). Fuzzy multi-objective linear programming applying to crop area planning. Agricultural Water Management, 98(1), 134–142.
