Interrelationships Between Soil Quality Parameters and Wheat Productivity for Some Soils of Monufyia Governorate
Journal of Biomaterials
Volume 1, Issue 1, June 2017, Pages: 1-9
Received: Jan. 27, 2017;
Accepted: Feb. 13, 2017;
Published: Apr. 12, 2017
Views 2262 Downloads 117
Mohamed Soliman Zaid, Soils and Water Department, Faculty of Agriculture, Al-Azhar University, Cairo, Egypt
Ahmed Hamdy Rizk, Soils and Water Department, Faculty of Agriculture, Al-Azhar University, Cairo, Egypt
Ali Mohamed Abd Elwhab Mashhour, Soils and Water Department, Faculty of Agriculture, Al-Azhar University, Cairo, Egypt
Wanas Mohamed Ahmed, Soils and Water Department, Faculty of Agriculture, Al-Azhar University, Cairo, Egypt
Follow on us
The present study was carried out to investigate the interrelationships between some physical and chemical soil characteristics and wheat productivity at seven locations; El-Sadat area, Monufyia Governorate during 2013/2015 years. Eight surface soil samples (0-30 cm) from each location were correlated for the investigated soil parameters determination. The investigated parameters were the coarse sand (CS), fine sand, silt and clay content, bulk density (BD), real density (RD), total porosity (TP), quickly drainable pores (QDP), slowly drainable pores (SDP), water holding capacity (WHC), hydraulic conductivity (HC), field capacity (F. C), wilting coefficient (WC); mean weight diameter (MWD); pH, electric conductivity (EC), organic matter (OM), cation exchange capacity (CEC), calcium carbonate (CaCO3), available potassium (Av-K) and total nitrogen (TN). The results showed a high significant correlation (P < 0.05) between some physical and chemical soil quality parameters. The observed a positive significant correlation was: WHC (water holding capacity), F. C (field capacity), pH and CEC (cation exchange capacity) correlated with clay content. QDP (quickly drainable pores) correlated with fine sand content. TP (total porosity), F. C, RD (real density), and WC (wilting coefficient) correlated with (HC) hydraulic conductivity. Also, the observed that a negative significant correlation was: OM (organic matter), WHC, clay content, RD and silt correlated with fine sand content. QDP (quickly drainable pores) correlated with water holding capacity and clay content Bulk density correlated with the hydraulic conductivity, total porosity and silt. The highest values of mean, standard deviation and the relative weight of physical and chemical parameters were obtained for cation exchange capacity, clay content, fine sand content, silt content, quickly drainable pores, field capacity and water holding capacity compared with the other soil parameters. Concerning the relationship of some soil parameters and wheat productivity, the data of correlation studies showed that the most suitable parameters for evaluation of soil quality under different soil management of study area were CEC, clay content, fine sand content, silt content, QDP, FC and WHC. On the other hand, the data showed an insignificant correlation between wheat productivity and some physical and chemical parameters such as coarse sand, slowly drainable pores, pH, CaCO3 and total nitrogen.
Soil Quality, Soil Quality Parameters, Wheat Yield
To cite this article
Mohamed Soliman Zaid,
Ahmed Hamdy Rizk,
Ali Mohamed Abd Elwhab Mashhour,
Wanas Mohamed Ahmed,
Interrelationships Between Soil Quality Parameters and Wheat Productivity for Some Soils of Monufyia Governorate, Journal of Biomaterials.
Vol. 1, No. 1,
2017, pp. 1-9.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Aparicio, V. and J. L. Costa (2007) Soil quality indicators under continuous cropping systems in the Argentinean Pampas. Soil Till. Res. 96: 155-165.
Araujo, A. S. F., F. C. L. Luiz, V. B. Santos and R. F. V. Carneiro (2009). Soil microbial activity in conventional and organic agricultural systems. Sustainability 1: 268-276.
Doran, J. W. and B. T. Parkin (1994) Defining and assessing soil quality. In: Doran, J. W., Coleman, D. C., Bezdicek, D. F., Stewart, B. A. (Eds.), Defining Soil quality for a sustainable environment. Soil Science Society of America, Inc., Madison, WI, USA, pp: 3 – 21.
Drury, C. F., T. Q. Zhang and B. D Kay (2003) the non-limiting and least limiting water range for soil nitrogen mineralization. Soil Sci Soc Am. J. 67, 1388-1404.
Gomez A. A., D. E. S. Kelly, J. K. Syers and K. J. Coughlan (1996) Measuring sustainability of agricultural systems at farm level. In: Doran J. W. and Jones A. J., Eds. Methods for assessing soil quality. SSSA Special Publication Number 49, Soil Science Society of America, INC., Madison, WI, 401-410.
James Dean Brown (2001) Statistics Corner: Questions and answers about language testing statistics: What is an eigenvalue? Shiken: JALT Testing & Evaluation SIG Newsletter, 5 (1) April 2001 (p. 15-19).
Karlen, D. L., J. C. Gardner and M. J. Rosek (1998) A soil quality framework for evaluating the impact of CRP. J. Prod Agric. 11, 56–60.
Klute, A (1986). “Methods of Soil Analysis”. Part 1. Physical and Mineralogical methods (2rd ed.) Amer. Soc. Agron. Monograph no. 9 Madison, Wisconsin, USA.
Kock, G. S. and R. F. Link (1971) "Statistical Analysis of Geological data" Dover publications, Inc. New York.
Larson, W. E. and F. G. Pierce (1991) Conservation and Enhancement of Soil Quality in Evaluation for Sustainable Land Management in the Developing World. International Borad for Soil Research and Management, IBSRAM Proceeding 12 (2), Vol. 2, Bangkok, Thailand.
Larson, W. E. and F. J. Pierce (1994) The dynamics of soil quality as a measure of sustainable management. Defining Soil Quality for a Sustainable Environment. Soil Science Society of America, Madison, Wisconsin, pp: 37–52.
Liu, Z., W. Zhou, J. Shen, S. Li and C. Ai (2013) Soil quality assessment of yellow clayey paddy soils with different productivity. Biol Fert Soils, 50: (3), 537-548.
Microsoft Excel (2007) Microsoft Excel. Redmond, Washington.
Marcus, M. and H. Minc (1988) Introduction to Linear Algebra. New York: Dover, p. 145, 1988.
Page, A. L., R. H. Miller and D. R. Keeny (1982) Methods of Soil Analysis. Part π. Chemical and microbiological properties (2nd ed.) Amer. Soc. Agron. Monograph no. 9 Madison, Wisconsin, USA.
Reynolds, W. D., C. F. Drury, C. S. Tan, C. A. Fox and X. M. Yang (2009) Use of indicators and pore volume-function characteristics to quantify soil physical quality. Geoderma. 152, 252-263.
Sakin, E. (2012) Organic carbon organic matter and bulk density relationships in arid-semi arid soils in Southeast Anatolia region. Afr. J. Biotechnol. 11: 1373-1377.
Saxton, K. E. and W. J. Rawls (2006) Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Science Society of America Journal, 70, 1569-1578.
Shukla, M. K., R. Lal and M. Ebinger (2004) Principal component analysis for predicting corn biomass and grain yields. Soil Sci. 169, 215–224.
Sigma, plot (2012) Scientific Software Solutions Internationals; sigma plot version 12.
Singh, M. J. and K. L. Khera (2009) Physical indicators of soil quality in relation to soil erodibility under different land uses. Arid Land Res Manag. 23, 152-167.
Six, J., R. T. Conant, E. A. Paul and K. Paustian (2002) Stabilization mechanisms of soil organic matter: Implications for C-saturation of soils. Plant Soil 241: 155–176.
SPSS (2014) IBM SPSS, Version 21.0, Chicago, USA.
Wang, Z., A. C. Chang., L. Wu, and D. Crowley (2003) Assessing the soil quality of long-term reclaimed wastewater-irrigated cropland. Geoderma, 114: 261-278.