Evaluation and determining the share of macro chemical fertilizers and soil properties in wheat (Triticum aestivum L.) yield gap using Boundary Line Analysis

Document Type : Research Paper

Authors

1 Gonbad Kavous University

2 دانشگاه گنبد کاووس

3 Gonbad Kavous University.

Abstract

Background and objectives. One of the main problems of wheat production, especially in Golestan province, is the yield gap, which results from a significant difference between farmers' actual yield and obtainable yield. So, the aim of this study was evaluation and determining the share of macro chemical fertilizers and soil properties in wheat (Triticum aestivum L.) yield gap using Boundary Line Analysis.
Materials and Methods. This study was conducted in Kalaleh and in 60 farms based on Boundary Line Analysis in 2016-17. In this study, in order to analyze and measure the physicochemical properties of soil, after harvesting of autumn products, soil samples were collected from selected fields, and electrical conductivity, acidity, organic carbon percentage, total nitrogen content, available phosphorus, available potassium, clay, silt, sand as well as the soil texture class were investigated in vitro. The amount of grain delivered to the wheat shopping centers was recorded after determining the amount of drop as the final yield of the farm. All information about using base fertilizers and the other field operations were recorded. Using the boundary analysis method, the relationships between yield and variables were investigated, and finally, the wheat yield gap and the contribution of each of these factors in the creation of yield gap were estimated.
Results and Discussion. In the studied farms, minimum, maximum and average amount of nitrogen fertilizer were 34.5, 14.5 and 85.4 kg.ha-1, respectively. Also, the minimum, maximum and average grain yield of wheat in these fields were 1950, 4890 and 3227 kg.ha-1. The response of the most wheat yields in the studied farms in terms of nitrogen fertilizer consumption indicated that the points follow a two-part function. So, wheat nitrogen fertilizer increased to 58.35 kg.ha-1 and wheat grain yield did not have a stable trend. The yield of nitrogen was limited to 4848 kg.ha-1 obtained by consuming at least 58.35 kg of pure nitrogen, and in 20% of the studied farms, the amount of nitrogen consumed was out of optimum, and the yield loss due to the lack of optimum use of nitrogen fertilizer in the fields was 34.4% (1671.6 kg.ha-1). In other words, with the optimum use of nitrogen fertilizer, it is possible to increase wheat yield by 1671.6 kg ha-1. The results showed that there was a difference of 4071.7 kg.ha-1 (56%) between the achievable (7248 kg.ha-1) and actual yield (3417.4 kg.ha-1). The amount of absorbable phosphorus in the soil, the amount of absorbable potassium in the soil and the amount of nitrogen consumed caused wheat yield in the studied area, which was 14.9%, 14.3%, 11.7% and 10.3% percentage respectively.
Conclusion. In general, the use of boundary line analysis as a suitable method in this study has shown the desired effect of different factors on wheat yield gap. It seems that by modifying these limiting factors, the gap between actual yield and achievable yield can be reduced.

Keywords


  1. Anonymous, 2018. Deputy director of plant improvement. Golestan Agricultural Jihad Organization, Ministry of Agriculture. Iran. (In Persian).
  2. Begum, M.A., Islam, M.A., Ahmed, Q.M., Islam, M.A., and Rahman, M.M. 2015. Effect of nitrogen and phosphorus on the growth and yield performance of soybean. Res. Agri. Live Stock Fish. 2. 35-42.
  3. Casanova, D., Goudriaan, J., Bouma, J., and Epema, G. 1999. Yield gap analysis in relation to soil properties in direct-seeded flooded rice. Geoderma. 91. 191-216.
  4. Egli, D.B., and Hatfield, J.L. 2014. Yield gaps and yield relationships in central US soybean production systems. Agro. J. 106. 560-566.
  5. Hajjarpoor, A., Soltani, A., and Torabi, B. 2015. Using boundary line analysis in yield gap studies: Case study of wheat in Gorgan. J. Crop Prod. 8: 4. 183-201. (In Persian).
  6. Hajjarpoor, A., Soltani, A., Zeinali, E., Kashiri, H., Aineband, A., and Nazeri, M. 2017. Determination of the optimum managements ranges in order to increasing wheat yield in Golestan province. J. Crops Improv. 19: 3. 577-590. (In Persian).
  7. Hajjarpoor, A., Soltani, A., Zeinali, E., Kashiri, H., Aynehband, A., and Vadez, V. 2018. Using boundary line analysis to assess the on-farm crop yield gap of wheat. Field Crop Res. 225. 64-73.
  8. Kitchen, N.R., Drummond, S.T., Lund, E.D., Sudduth, K.A., and Buchleiter, G.W. 2003. Soil electrical conductivity and topography related to yield for three contrasting soil–crop systems. Agron. J. 95. 483-495.
  9. Lobell, D.B., Cassman, K.G., and Field, C.B. 2009. Crop yield gaps: Their importance, magnitudes, and causes. Ann. Rev. Environ. Resource. 34. 179-204.
  10. Makowski, D., Doré, T., and Monod, H. 2007. A new method to analyze relationships between yield components with boundary lines. Agron. Sustain. Dev. 27. 119-128.
  11. Patrick, M., Tenywa, J.S., Ebanyat, P., Tenywa, M.M., and Mubiru, D.N. 2013. Soil Organic Carbon Thresholds and Nitrogen Management in Tropical Agroecosystems: Concepts and Prospects. J. Sustain. Dev. 16. 31-41.
  12. Patrignani, A., Lollato, R.P., Ochsner, T.E., Godsey, C. B., and Edwards, J.T. 2014. Yield gap and production gap of rain-fed winter wheat in the Southern Great Plains. Agron. J. 106. 1329-1339.
  13. Rosolem, C.A., and Merlin, A. 2014. Soil phosphorus availability and soybean response to phosphorus starter fertilizer. Res. Brazilian Agric. 38. 1487-1495.
  14. Ruffo, M.L., Gentry, L.F., Henninger, A.S., Seebauer, J.R., and Below, F.E. 2015. Evaluating management factor contributions to reduce corn yield gaps. Agron. J. 107. 495-505.
  15. Schnug, E., Heym, J., and Achwan, F. 1996. Establishing critical values for soil and plant analysis by means of the boundary line development system (bolides). Commun. Soil Sci. Plant Anal. 27. 2739-2748.
  16. Shatar, T.M., and Mcbratney, A.B. 2004. Boundary-line analysis of field-scale yield response to soil properties. J. Agric. Sci. 142. 553-560.
  17. Tasistro, A. 2012. Use of boundary lines in field diagnosis and research for Mexican farmers. Better Crops. 96. 11-13.
  18. Torabi, B., Soltani, A., Galeshi, S., and Zeinali, A. 2012. Analyzing wheat yield constraints in Gorgan. J. Crop Prod. 4: 4. 1-17. (In Persian).
  19. Van Ittersum, M.K., and Rabbinge, R. 1997. Concepts in production ecology for analysis and quantification of agricultural input–output combinations. Field Crop Res. 52. 197-208
  20. Wang, B., Liu, H., Hao, X.Y., Wang, X.H., Sun, J.S., Li, J.M., and Ma, Y.B. 2016. Agronomic threshold of soil available phosphorus in grey desert soils in Xinjiang, China. Earth Environ. Sci. 41. 120-131.
  21. Wang, N., Jassogne, L., Van Asten, P.J.A., Mukasa, D., Wanyama, I., Kagezi, G., and Giller, K.E. 2015. Evaluating coffee yield gaps and important biotic, abiotic, and management factors limiting coffee production in Uganda. Eur. J. Agron. 63. 1-11.
  22. Webb, R.A. 1972. Use of the boundary line in the analysis of biological data. J. Hort. Sci. 47. 309-319.