Comparison of Land Suitability Methods for Estimating Quantity of Maize Yield in Calcareous Soils

ABSTRACT

The modeling and assessment of land suitability is a prerequisite for land development and is one of the necessary needs to prevent land degradation. Maize is considered to be the most important crop, covering significant areas of agricultural lands in widely different regions across the world. However, not all available lands are equally suitable for maize cultivation. The main objective of this study was focused on identifying the potentials as well as the limitations of studied calcareous soils for maize cultivation in north Khuzestan province, Iran. Furthermore, some parametric models and multi-criteria land suitability evaluation methods for physical, chemical, fertility, and climatic factors (MC-LSE) were compared in estimating the maize yield. The required samples were taken from 23 land units by excavating control pedons. The necessary physicochemical parameters were then measured in the laboratory. The land indices were calculated by using different methods. The maize potential production of the investigated area was then obtained based on the climatic conditions. Finally, using land indices and the potential production, the estimated yield for each land unit was calculated and compared with the actual yield data. The obtained results indicated that the main limiting factors for maize yield in the region are high soil CaCO₃ content, high salinity, high alkalinity and low organic matter. A comparison of predicted and actual yield indicated that the corrected square root method is accurate enough to assess land suitability and to estimate the maize yield with a high coefficient of determination (0.91) and a low RMSE value.

KEYWORDS:

• Land suitability assessment
• MC-LSE method
• parametric method
• production potential

Acknowledgement

The authors thank the Iranian Soil and Water Research Institute for providing facilities for field studies and soil sampling. The authors are grateful to anonymous reviewers who considerably improved the quality of the paper.

Disclosure statement

No potential conflict of interest was reported by the Author(s).

Additional information

Funding

The funding for the research was provided by the Soil and Water Research Institute of Iran 014-10-10-9452-94001.