ANALYSIS OF MOUNTAIN-FOREST CINNAMON SOIL TYPES IN THE BASIN OF THE NEW SHAMKIRCHAY RESERVOIR


Creative Commons License

Sadigov R. A., Mustafayev M. G.

SABRAO JOURNAL OF BREEDING AND GENETICS, vol.56, no.1, pp.266-279, 2024 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 56 Issue: 1
  • Publication Date: 2024
  • Doi Number: 10.54910/sabrao2024.56.1.24
  • Journal Name: SABRAO JOURNAL OF BREEDING AND GENETICS
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, Academic Search Premier, CAB Abstracts
  • Page Numbers: pp.266-279
  • Azerbaijan State University of Economics (UNEC) Affiliated: Yes

Abstract

The analysis of a soil -ecological base commenced on the existing mountain -forest cinnamon soils in the New Shamkirchay Reservoir Basin, which play a vital role in developing the agricultural economy in the Western region of the Republic of Azerbaijan. Thus, cleaning the area, increasing the fertility of mountain -brown soils, water -retaining capacity, and developing an action plan to ensure better productivity are among the most urgent processes to eliminate water shortages in areas with historical irrigation systems. The presented article discusses the research on the mountain -forest brown soils formed in the Shamkir region territory. This research area's formation comprised an area of 2,498.43 ha. The current analysis based on the morphological and chemical descriptions with diagnostic indicators of six soil profiles (Sections 26, 27, 28, 33, 34, and 54) progressed during 2018-2021 in the targeted areas. The prime diagnostic indicators studied were humus, total nitrogen, phosphorus, potassium, granulometric composition (for sand, dust, silt, and clay fractions), soil reaction (pH), carbonate content (CaCO3), and their statistical analysis. Specifications for the six sections of the different soil profiles relied on modern tools through the determination of geographical coordinates. Determining geographical coordinates of soil samples employed the Garmin GPS map 62s. Based on the digital elevation model (DEM file), interpolating the elevation points obtained from topographic maps of previous years resulted in a new digital elevation model with low distortion. Likewise, the study has built a new relief model (in ArcGis 10.3).