Using Soil Properties to Estimate the Irrigated Wheat Yield in Agricultural Lands of Nazarabad Region in Alborz Province

Document Type : Research Paper


1 Ph.D. Student, Department of Soil Science, Faculty of Agriculture, Univrsity of Zanjan, Zanjan, Iran

2 Full Professor, Department of Soil Science, Faculty of Agriculture, Univrsity of Zanjan, Zanjan, Iran

3 Assistant Professor, Soil and Water Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.


The yield of Wheat is influenced by various factors including climate, land management practices and soil properties. It is important to investigate the relations between soil physical and chemical properties and the yield of wheat. In this study, the physical and chemical properties of the soil top layer (0-30 cm) and the yield of Wheat were determined in 34 wheat fields of Nazarabad region in Alborz province, during wheat crop year of 2018. Principal Component Analysis (PCA) was used to select the effective parameters on wheat yield and multivariate linear regression was applied to analyze the relationship between wheat yield and soil properties. Finally four regression equations were presented. Principal Component Analysis (PCA), stepwise linear regression, the highest correlation method and all the measured properties were used respectively to prepare four equations to estimate the Wheat yield. The evaluation of each equation was performed by Geometric Mean Error Ratio (GMER), Geometric Standard Deviation of the Error Ratio (GSDER), Normalized Root Mean Squared Error (NRMSE), and determination coefficient (R2). The results showed that wheat yield varies from 2750 to 10500 kg/ha in the region and the proposed equation using clay, Pava, Cu, porosity, calcium carbonate equivalent and pH with GMER, GSDER, NRMSE and R2 values of 0.99, 1.19, 0.17, and 0.64 respectively, is the most appropriate equation for determining of wheat yield. Therefore, in regions with climatic conditions and soil physical and chemical properties similar to the study area, the yield of wheat can be estimated with an acceptable level, based on the proposed equation.


Main Subjects

Aria, P., and Mirkhani, R. (2005). Methods of Soil Physical Analysis, Technical Bulletin, Soil and Water Research Institute, Iran,479. (In Farsi)
Ayoubi, S., Mohammad zamani, S. and Khormali, F. (2010). Wheat yield prediction through soil properties using principle component analysis. Iranian Journal of Soil and Water Research, 40(1), 51-57. (In Farsi)
Ayoubi, Sh., Khormali, F. and Sahrawat, K. L. (2009). Relationships of barley biomass and grain yields to soil properties within a field in the arid region: Use of factor analysis. Acta agriculturae scandinavica section B - soil and plant science, 59(2), 107-117
Gaj, R., Górski, D., & Przybyl, J. (2013). Effect of differentiated phosphorus and potassium fertilization on winter wheat yield and quality. Journal of Elementology, 18(1).
Ghorbani, M., Koocheki, A. R. and Hossein Mahmoudi, H. (2009). Estimation of virtual yield organic wheat: Case study of khorasan province. Environmental Sciences, 6(3), 23-30. (in Farsi)
Jolliffe, I. T. (1986). Principal components in regression analysis. In Principal component analysis (pp. 129-155). Springer, New York, NY.
 Juhos, K., Szabó, S. and Ladányi, M. (2015). Influence of soil properties on crop yield: a multivariate statistical approach, International  Agrophysics, 29, 433-440.
Li, P., Zhang, T., Wang, X. and Yu, D. (2013). Development of biological soil quality indicator system for subtropical China. Soil and Tillage Research, 126, 112-118.
Majchrzak, R. N., Olson, K. R., Bollero, G. and Nafziger, E. D. (2001). Using soil properties to predict wheat yield on Illinois soils. Soil Science, 166(4), 267-280
Mirkhani, R. (2013). The Effect of soil compaction on soil physical and chemical properties and wheat yield in Irrigation water salinity levels. Final report of research. Soil and Water Research Institute, 42767, 49pp. (In Farsi)
Mohaghegh, P. and Naderi, M. (2016). Determination of Effective Indicators for Soil Quality Assessment in Different Land Use Types of Chughakhor Basin. Journal of Soil and Water Resources Conservation, 5(3), 55-71.
Morovvat, A., Emadi, M., Shojae, M., Pakpour, A., Gholami, L., Haji Aghasi, J. and Kamali, E. (2012). Wheat yield prediction modeling by soil properties: a case study in North-west of Iran. International Journal of Agricultural Science, Research and Technology in Extension and Education Systems, 2(1), 23-26.
Nazmi, L. (2013). Modeling for relationships between soil properties and yield components of wheat using multiple linear regression and structural equation modeling. Advances in Environmental Biology, 7(2), 235-242.
Olsen, S. R., Cole, C. V., Watanabe, F. S., & Dean, L. A. (1954). Estimation of available phosphorus in soils by extraction with sodium bicarbonate. USDA Circ. 939. US Gov. Print. Office, Washington, DC. Estimation of available phosphorus in soils by extraction with sodium bicarbonate. USDA Circ. 939. US Gov. Print. Office, Washington, DC.
Page A. L., Miller, R. H. and Keeney D. R. (1982). Methods of Soil Analysis, part 2, chemical and microbiological properties. American Society of Agronomy, Inc. Soil Science Society of America. Madison, WI.
Rezaei, M. and Hemati, Z. (2012). Reaction of wheat yield to soil physical and chemical Characteristics in Arak Fields. World Applied Sciences Journal, 20(8), 1183-1187.
Singh, A. K., Mazumdar, S. P., Saha, A. R. and Kundu, D. K. (2017). Soil quality changes resulting from long-term fertilizer application under intensive cropping system in alluvial soils. Communications in Soil Science and Plant Analysis, 48(13), 1503-1510.
Tkaczyk, P., Bednarek, W., Dresler, S. and Krzyszczak, J. (2018). The effect of some soil Physicocheical properties and nitrogen fertilization on winter wheat yield. Acta Agroph, 25(1): 107-116.
Torabian, A., and Maghsoudi, K. (2014). Study on relationship between yield and yield components of wheat under normal irrigation and drought stress conditions by path analysis method. Agronomy Journal (Pajouhesh & Sazandegi), 104, 47-53.
Tripathi, R. P., Sharma, P., & Singh, S. (2006). Soil physical response to multi-year rice wheat production in India. IntJournal of Soil Science, 12, 91-107.
Vaezi, A. R. and Bahrami, H. A. (2014). Relationship between soil productivity and erodibility in rainfed wheat lands in northwestern iran. Journal of Agricultural Science and Technology, 16, 1455-1466.
Wagner, N. C., Maxwell, B. D., Taper, M. L. and Rew, L. J. (2007). Developing an empirical yield-prediction model based on wheat and wild oat (Avena fatua) density, nitrogen and herbicide rate, and Growing-Season Precipitation. Weed Science Society of America, 55, 652–664
 Walkley, A. and Black, I. A. (1934). An examination of Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Science, 37, 29-37.