Document Type : Research Paper

Authors

1 Ph.D. Student, Department of Agronomy, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

2 Associate Professor, Department of Agronomy, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

3 Professor, Department of Agronomy, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

Abstract

The present study tries to estimate the yield gap of irrigated canola in Iran as the first step for planning sustainable improvement of production. It has been performed in the modeling laboratory of Gorgan University of Agricultural Sciences and Natural Resources in 2017-2019. The protocol provided by the GYGA project is used for detection of climatic zones as well as major weather stations in canola production regions to estimate the yield gap. The actual yield of the irrigated canola in its major production regions is between 1184 to 2358 kg ha-1. The range of potential yield is estimated between and 3823 and 6520 kg ha-1. The highest potential yields belongs to Hamedan and Lorestan provinces and the lowest value to Khuzestan Plain. The range of the yield gap in its major production regions in the country is 2480 to 4365 kg ha-1, i.e. 53% to 77% of gap and with an average, 3276 kg ha-1 equal to 65% of the gap. With respect to the exploitable yield as the target yield, the exploitable yield is between 1544 and 3208 kg ha-1, with an average of 2261 kg ha-1. The magnitude of this gap indicates that the potentials of canola production in Iran are not exploited properly. Analyzing the reasons and methods of amendment the present yield gap and adoption of efficient management methods to achieve higher yields is crucial with regard to food security and economic.

Keywords

Abravan, P., Soltani, A., Majidian, M., & Mohsenabadi, Gh. )2017). Study of field management factors and underlying reasons limiting yield of oilseed rape in east of Golestan province using CPA method, Journal of Agroecology, 46-60.
Alasti, O. )2020). Modeling potential production and gap production of barley under current and future climates of Iran, Gorgan University of Agricultural Sciences and Natural Resources, Iran. (In Persian)
Aramburu Merlos, F., Monzon, J.P., Mercau, J.L., Taboada, M., Andrade, F.H., Hall, A.J., Jobbagy, E., Cassman, K.G., & Grassini, P. )2015). Potential for crop production increase in Argentina through closure of existing yield gaps. Field Crops Research, 184, 145-154.
FAO. )2015). In: In: Sadras, V.O., Cassman, K.G.G., Grassini, P., Hall, A.J., Bastiaanssen, W.G.M., Laborte, A.G., Milne, A.E., Sileshi, G., Steduto, P. (Eds.), Yield Gap Analysis of Field Crops: Methods and Case Studies, vol. 41 FAO Water Reports No., Rome, Italy.
FAOSTAT. )2017). Statistical Database of the Food and Agriculture Organization of the United Nations. FAO, Rome, Italy.
Foroughi Ayneh Deh, A., Biabani, A., Rahemi Karizki, A., & Rassam Q. )2019). Investigation of physiological characteristics affecting the yield improvement of rapeseed cultivars.  Journal of Field Crops Research, 17(1), 53-73.
FTF. )2011). Feed the Future: Global Food Security Research Strategy. U.S. Government ‘s global hunger and food security initiative. Available at: http://www.feedthefuture.gov/.
Ghanbari, A., & Taei-Semiromi, J. )2012). New approach for regional crop yield gap analysis in the Borujen Plain, Iran. African Journal of Biotechnology, 11, 6368-6376.
Gobbett, D., Hochman, Z., Horan, H., Navarro Carcia, J., Grassini, P., & Cassman, K. )2016). Yield gap analysis of rainfed wheat demonstrates local to global relevance. The Journal of Agricultural Science, 1-18.
Gobbett, D.L., Hochman, Z., Horan, H., Garcia, J.N., Grassini, P., & Cassman, K.G. )2017). Yield gap analysis of rainfed wheat demonstrates local to global relevance. The Journal of Agricultural Science, 155, 282-299
Hajjarpour, A., Soltani, A., & Torabi, B. )2016). Using boundary line analysis in yield gap studies: Case study of wheat in Gorgan.‏
Harvest Choice. )2010). HC27: Generic/Prototypical Soil Profiles. International Food Policy Research Institute, Washington, DC., and University of Minnesota, St. Paul, M.N. Available online at http://harvestchoice.org/node/2239.
Hochman, Z., & Horan, H. )2018). Causes of wheat yield gaps and opportunities to advance the water-limited yield frontier in Australia. Field Crops Research, 228, 20-30.
Kamkar, B., Koochaki, A., Nassiri Mahalati, M., & Rezvani Moghadam, P. )2007). Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approach. Iranian Journal of Field Crops Research, 5(2), 333-342.‏
Mojarrad, F., Farhadi, B., & Kheyri, R. )2014). The Role of Climatic Factors in Determining the Start Date of Planting and Growing Period of Colza with Application of CropSyst Model, Case Study: Coastal Provinces of Caspian Sea in Iran. Physical Geography Research Quarterly, 90, 463-476.
Mueller, N. D., Gerber, J. S., Johnston, M., Ray, D. K., Ramankutty, N., & Foley, J. A. )2012). Closing yield gaps through nutrient and water management. Nature, 490, 254-257.
Nehbandani, A.R. )2018). Evaluation of soybean yield gap in Iran. PhD Dissertation, Faculty of Plant Production, Gorgan University of Agricultural Sciences and Natural Resources, Iran. (In Persian)
Sekhavatifar, Sh., Rahemi Karizaki, A., Moghaddam, N., & Mollashahi, M. )2020). Identifying Oilseed Rape Limiting Factors by Means of Performance Comparison Analysis. Journal of Crops Improvement, 22(1), 13-25.
Soltani, A., Alimagham, M., & Nehbandani, A. )2020). Modeling plant production at country level as affected by availability and productivity of land and water, Agricultural systems. (Minor Revision Is Needed).
Soltani, A., & Sinclair, T.R. )2011). A simple model for chickpea development, growth and yield. Field Crops Research, 124, 252-260.
Soltani, A., & Sinclair, T.R. )2012). Modeling physiology of crop development, growth and yield. CABI Publication, p. 322.
Soltani, A., Hajjarpour, A., & Vadez, V. )2016). Analysis of chickpea yield gap and water limited potential yield in Iran. Field Crops Research, 185, 21-30.
Torabi, B., Soltani, A., Galeshi, S., Zeinali, E., & Kazemi Korgehei, M. )2013). Ranking factors causing the wheat yield gap in Gorgan. Journal of Crop Production, 6(1), 171-189.‏
Van Bussel, L.G., Grassini, P., Van Wart, J., Wolf, J., Claessens, L., Yang, H.,  Boogaard, H., de Groot, H., Saito, K., Cassman, K.G., & van Ittersum, M.K. )2015). From field to atlas: upscaling of location-specific yield gap estimates. Field Crops Research, 177, 98-108.
Van Ittersum, M. K., Cassman, K. G., Grassini, P., Wolf, J., Tittonell, P., & Hochman, Z. )2013). Yield gap analysis with local to global relevance-A review. Field Crops Research, 143, 4-17.
WPP. )2017). United Nations, department of economic and social affairs, population division. In: World Population Prospects, Online Edition.
Zahed, M. )2018). Modeling the production and yield gap of wheat in Iran. Faculty of Plant Production, Gorgan University of Agricultural Sciences and Natural Resources, Iran. (In Persian)