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Multivariate Analysis of Data on the Effects of Different Vegetative Covers on Some Physical Properties of a Selected Nigerian Soil

Received: 22 October 2013     Published: 10 November 2013
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Abstract

This work discusses the use of multivariate analysis of variance to tackle the problem of investigating the effects of different vegetative covers on the physical properties of a selected Nigerian soil. An additive effect model was assumed and using data obtained from the Department of Soil Science of the University of Nigeria, Nsukka, we tested for the equality of significant treatment effects. The result of the analysis revealed that the treatment effects were found to be significant being acceptable at 5 percent level. Based on our analysis, we recommended that the vegetative covers in question are useful and necessary and therefore should be used to improve the soil physical conditions for any overused land in Nsukka area of Nigeria and similar soils elsewhere not in Nsukka depending on the use and type of farming system the land is put to.

Published in American Journal of Theoretical and Applied Statistics (Volume 2, Issue 6)
DOI 10.11648/j.ajtas.20130206.18
Page(s) 210-220
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

RCBD, MANOVA, Vegetative Covers

References
[1] Adeoye, K.B. (1982): Effect of tillage depth on physical properties of a tropical soil and on yield of maize sorghum and cotton. Soil Tillage Research, 2; 225 – 231.
[2] Egwuatu, U.T. (1982): The Effects of Different Ground Cover on the Physical Properties of Nkpologu Series.
[3] Enyioku, C.O.; Obi, M.E. and Eneje, R.C. (2012): Soil Water Characteristics and Structural Stability of a Typic Paleustult under different Vegetation Cover. Publication of Nasarawa State University, Keffi, www.patnsukjournal.net/currentissue
[4] Lal R., (1998): Methods for assessment of soil degradation. In: Advances in Soil Sciene. CRP Press, Boca Raton fl.
[5] Lugo, Lopez, M.A.; Wolf, J.M. and Perez Escolar, R. (1981): Water loss, intake movement retention and availability in major soils of Puerto Rico. University of Puerto Rico Bulletin 264. pp. 7 – 8.
[6] Mbagwu, J.S.C. and Ekwealor, G.C. (1990): Agronomic potential of brewer’s spent grain. Biological Wastes, 34:335 – 347.
[7] Mbagwu, J.S.C. (1989): Effect of organic amendments on some physical properties of a tropical ultisol. Biological Wastes 28: 1 – 13.
[8] Montgomery, D.C. (1976): Design and Analysis of Experiment. New York, John Willey and Sons.
[9] Obi, M.E. (1982): Runoff and soil from an oxisol in southeastern Nigeria under various management practices, Agric water manage, 5:193 – 203.
[10] O’Brien, R. G. & Kaiser, Mary Kister (1985). MANOVA method for analyzing repeated measures designs: An extensive primer. Psychological Bulletin, 97, 316-333.
[11] Papendick, R.I. and Campbell, G.S. (1981): Theory and measurement of water potential. In: J.F. parr, W.R., Gardner, and L.F. Elliot (eds. Water Potential Relations in soil Microbiology, Special publication no. 9 Soil Science Soc amer, Madison Wiscoson pp. 1 – 22.
[12] Richard, A.J. and Dean, W.W. (1992): Applied Multivariate Statistical Analysis. Prentice Hall, Englewood Cliffs, New Jersey.
[13] Spaan, W.P.; Silking, A.F.S. and Hoogmoed, W.B. (2005): Vegetation barrier and tillage effects on runoff and sediment in an alley crop system on Luvisol in Burkina Faso. Soil and Tillage Research, 83: 194 – 203.
[14] Tollner, E.W.; Hargrove, W.L. and Laongdale, G. (1984): Influence of conventional and no-till practices soil physical properties in the southern Piedmont. Journal of soil and water conservation. 39:72 – 76.
[15] Wood, J.C., Wood, M.K. and Tromble, J.M. (1987): Important factors influencing water infiltration and sediment production on arid lands in New Mexico Journals of Arid environment. 12:111 – 118.
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  • APA Style

    CHUKWUDI JUSTIN OGBONNA, OPARA JUDE, HYCINTH CHUKWUDI IWU. (2013). Multivariate Analysis of Data on the Effects of Different Vegetative Covers on Some Physical Properties of a Selected Nigerian Soil. American Journal of Theoretical and Applied Statistics, 2(6), 210-220. https://doi.org/10.11648/j.ajtas.20130206.18

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    ACS Style

    CHUKWUDI JUSTIN OGBONNA; OPARA JUDE; HYCINTH CHUKWUDI IWU. Multivariate Analysis of Data on the Effects of Different Vegetative Covers on Some Physical Properties of a Selected Nigerian Soil. Am. J. Theor. Appl. Stat. 2013, 2(6), 210-220. doi: 10.11648/j.ajtas.20130206.18

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    AMA Style

    CHUKWUDI JUSTIN OGBONNA, OPARA JUDE, HYCINTH CHUKWUDI IWU. Multivariate Analysis of Data on the Effects of Different Vegetative Covers on Some Physical Properties of a Selected Nigerian Soil. Am J Theor Appl Stat. 2013;2(6):210-220. doi: 10.11648/j.ajtas.20130206.18

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  • @article{10.11648/j.ajtas.20130206.18,
      author = {CHUKWUDI JUSTIN OGBONNA and OPARA JUDE and HYCINTH CHUKWUDI IWU},
      title = {Multivariate Analysis of Data on the Effects of Different Vegetative Covers on Some Physical Properties of a Selected Nigerian Soil},
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {2},
      number = {6},
      pages = {210-220},
      doi = {10.11648/j.ajtas.20130206.18},
      url = {https://doi.org/10.11648/j.ajtas.20130206.18},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20130206.18},
      abstract = {This work discusses the use of multivariate analysis of variance to tackle the problem of investigating the effects of different vegetative covers on the physical properties of a selected Nigerian soil. An additive effect model was assumed and using data obtained from the Department of Soil Science of the University of Nigeria, Nsukka, we tested for the equality of significant treatment effects. The result of the analysis revealed that the treatment effects were found to be significant being acceptable at 5 percent level. Based on our analysis, we recommended that the vegetative covers in question are useful and necessary and therefore should be used to improve the soil physical conditions for any overused land in Nsukka area of Nigeria and similar soils elsewhere not in Nsukka depending on the use and type of farming system the land is put to.},
     year = {2013}
    }
    

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    T1  - Multivariate Analysis of Data on the Effects of Different Vegetative Covers on Some Physical Properties of a Selected Nigerian Soil
    AU  - CHUKWUDI JUSTIN OGBONNA
    AU  - OPARA JUDE
    AU  - HYCINTH CHUKWUDI IWU
    Y1  - 2013/11/10
    PY  - 2013
    N1  - https://doi.org/10.11648/j.ajtas.20130206.18
    DO  - 10.11648/j.ajtas.20130206.18
    T2  - American Journal of Theoretical and Applied Statistics
    JF  - American Journal of Theoretical and Applied Statistics
    JO  - American Journal of Theoretical and Applied Statistics
    SP  - 210
    EP  - 220
    PB  - Science Publishing Group
    SN  - 2326-9006
    UR  - https://doi.org/10.11648/j.ajtas.20130206.18
    AB  - This work discusses the use of multivariate analysis of variance to tackle the problem of investigating the effects of different vegetative covers on the physical properties of a selected Nigerian soil. An additive effect model was assumed and using data obtained from the Department of Soil Science of the University of Nigeria, Nsukka, we tested for the equality of significant treatment effects. The result of the analysis revealed that the treatment effects were found to be significant being acceptable at 5 percent level. Based on our analysis, we recommended that the vegetative covers in question are useful and necessary and therefore should be used to improve the soil physical conditions for any overused land in Nsukka area of Nigeria and similar soils elsewhere not in Nsukka depending on the use and type of farming system the land is put to.
    VL  - 2
    IS  - 6
    ER  - 

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Author Information
  • Federal University of Technology Owerri Nigeria PMB 1526, Owerri Nigeria

  • Department of Statistics, Imo State University PMB 2000, Owerri Nigeria

  • Federal University of Technology Owerri Nigeria PMB 1526, Owerri Nigeria

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