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DOI: 10.18483/ijSci.1430
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Volume 6 - Sep 2017
Abstract
Soil is a substantial resource and displays adaptable physical, chemical, mineralogical, hydrological and geochemical properties. Particle size is a fundamental analysis procedure for soils, and pedological and paleopedological analysis. In view of this particle size distribution of soil samples were conducted and analysed for 10 locations in Maiduguri, Nigeria by sieving technique. Their sand, silt, and clay contents were determined. The distribution of particle size influences the moisture retention and transmission properties of soils. The overall result showed that the soil in Maiduguri is predominantly sand having low moisture retention and high permeability. This study at higher precision will be helpful for the textural management concerns all operations, practices and treatments used to protect soil and enhance its performance.
Keywords
Particle size, Soil samples, Moisture retention, Textural management
References
- Konen, M.E., C.L. Burras, and J.A. Sandor (2003). Organic carbon, texture, and quantitative color measurement relationships for cultivated soils in north central Iowa. Soil Sci. Soc. Am. J. 67:1823–1830.
- Lindbo, D., R. Miles, D. Presley, and N.E. Ransom (2008). Soil profile descriptions. In: S. Logsdon, D. Clay, D. Moore, and T. Tsegaye, editors, Soil science: Step-by-step field analysis. SSSA, Madison, WI. p. 11–34.
- Marc P. and Jacques G., (2011). Handbook of Soil Analysis, Springer International Edition, 15-17.
- Ryzak, M. and Bieganowski, A. (2011). Methodological aspects of determining soil particle size distribution using the laser diffraction method. Soil sci. Vol. 174, 624–633.
- Skalova, J. (2003). Possibilities of water retention curves determination. Bioclimatological working days. Račkova vale , View 29 August 2017, http://www.cbks.cz/sbornikRackova03/sections/4/Skalova.pdf.
- Storti F. and Balsamo F. (2010). Particle size distributions by laser diffraction: sensitivity of granular matter strength to analytical operating procedures, Solid Earth, 1, 25–48.
- Thompson L.M. and Troen F.R., (1973). Soils and Soil fertility, 3rd edition McGraw-Hill Book, 137-161.
- Vandecasteele, B. and De Vos, B. (2001). Relationship between soil textural fractions determined by the sieve-pipette method and laser diffractometry. Viewed 29 August 2017, .
- Zhengyong Z., Thien, L., Chowb H., Reesb W., Qi Y., Zisheng X. and Fan-Rui M., (2008). Predict soil texture distributions using an artificial neural network model, Journal of computers and electronics in agriculture, Elsevier, 36-48.
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International Journal of Sciences is Open Access Journal.
This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Author(s) retain the copyrights of this article, though, publication rights are with Alkhaer Publications.