The Effects of Management Practices on Soil Physical and Chemical Properties of Esfahan Agroecosystems

Document Type : Scientific - Research

Authors

• majid karimian kelishadrokhi ¹
• Alireza Koocheki ²
• mahdi Nassiri Mahallati ²

¹ Department of Agrotechnology, Ferdowsi University of Mashhad,Mashhad, Iran

² Department of Agrotechnology, Ferdowsi University of Mashhad, Mashhad, Iran

10.22067/jag.v1i1.38375

Abstract

Introduction
In parallel with the population growth, increasing food production using modern agricultural methods seems necessary. Application of chemical inputs and biodiversity reduction in agroecosystems lead to artificial ecosystems, requiring human intervention. Soil is an essential part of agroecosystems and the key to soil fertility is preserving the ecological biodiversity of the system. The use of management methods based on field hydrone inputs reduces the consumption of thorny inputs and reduces environmental degradation. The size and stability of the aggregates indicate the balance between the constituent and destructive factors of the aggregates. Different tillage methods are based on the soil physical and chemical properties. The purpose of this study was to investigate the effect of management methods on the physical and chemical properties of farm soil of the cities in Isfahan province.
Materials and Methods
We investigated the effect of management practices on physical and chemical properties in field soils in Esfahan province during 2011-2012. First, 6 fields are selected in each of 23 counties, and evaluation was conducted using questionnaires filled by farmers. Accordingly, the fields were classified in three groups (low input, medium input and high input). Two fields of each group input were selected and evaluated. Four points (30 centimeters of depth) at each hectare of field were randomly sampled. By mixing, one complete sample was obtained and carried to laboratory for further analyses. Soil texture was determined by hydrometric method, and electrical conductivity and pH were determined in saturated extract. Wet oxidation method was used to measure soil organic matter. To determine the stability of aggregates, soil samples were evaluated by wet sieving method.
Results and Discussion
 Results indicated that soil texture, aggregate stability, electrical conductivity and rate of organic matter in three management practices (low input, medium input and high input) were significantly different (p < 0.01). The aggregate stability in low input fields had the highest value (0.72) and in high input fields had the lowest value (0.42).The soils in low and high input fields include maximum and minimum organic matter (2.05% and 1%), respectively. The field management methods had a significant effect on the amount of organic matter. The pH of soil samples did not show a significant difference. The electrical conductivity of the soil solution was different between three planting systems analyzed. In high input fields, the electrical conductivity values of the soil solution had the highest values. It seems that excessive consumption of chemical inputs in high input fields increased the electrical conductivity of soil solution. Other researchers have reported that the soil solution electrical conductivity depends on several factors such as the fertilizer type and their consumption, irrigation method and soil type.
 Conclusion
Reduced chemical fertilizers consumption and less entry of machinery increase the stability of aggregates in low input fields. The reduced or non-tillage methods in fields that preserve more crop residues on the soil surface increase the aggregates’ consistency and thus improve their stability. Application of conventional plowing, chemical inputs, and no crop rotation reduce soil organic matter content.
Acknowledgment
I would like to express my sincere gratitude to the professors, staff, and students of the Faculty of Agriculture of Ferdowsi University of Mashhad who helped me in carrying out this research.

Keywords

• Aggregate stability
• Electrical conductivity
• Input
• Organic matter

20.1001.1.20087713.1400.13.4.1.6

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