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Effectiveness Performance Analysis of Soil Minerals (Fe/Zn) on Soil Fertility and Cropping Patterns Using X-Ray Fluorescence Spectrometer (XRF) and ANOVA Method

Received: 5 June 2015     Accepted: 25 June 2015     Published: 1 July 2015
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Abstract

Present study envisages assessing partitioning of soil minerals (Fe/Zn) into seeds and distribution of minerals within plant, effects of foliar Fe [Ferrous sulphate (2%)] application on seed iron and zinc content. Here, our objective is to carry out effectiveness performance analysis of soil minerals (Fe/Zn) on soil fertility and cropping patterns using X-Ray Fluorescence Spectrometer (XRF) and ANOVA method. In Rwanda, Common beans are grown under quite diverse conditions including soil fertility, rain fall, and cropping system. Mineral concentrations in seeds were assessed at harvest using X-Ray Fluorescence Spectrometer (XRF). Genotypes were significantly different in their iron and zinc content with the means ranging between 51-126 ppm for iron and 28-45 ppm for zinc. Foliar iron application showed significant effect on some of the varieties in Rubona 2012A and Akanyirandoli 2012B and no significant effects on other varieties (bush and climbing) grown in Rubona and Akanyirandoli 2012A. Plant height has no significant effect on seed iron and zinc accumulation. Genetic and environmental interactions for bean seed concentration in iron and zinc was observed across sites at p < 0.001.

Published in American Journal of Biological and Environmental Statistics (Volume 1, Issue 1)
DOI 10.11648/j.ajbes.20150101.12
Page(s) 9-18
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), 2015. Published by Science Publishing Group

Keywords

Soil fertility, Fe/Zn partitioning, plant canopy, malnutrition, effectiveness performance analysis, ANOVA method

References
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Cite This Article
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    Vishwa Nath Maurya, Bijay Singh, Swammy Vashist, Ghebrebrhan Ogubazghi, Vijay Vir Singh. (2015). Effectiveness Performance Analysis of Soil Minerals (Fe/Zn) on Soil Fertility and Cropping Patterns Using X-Ray Fluorescence Spectrometer (XRF) and ANOVA Method. American Journal of Biological and Environmental Statistics, 1(1), 9-18. https://doi.org/10.11648/j.ajbes.20150101.12

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    ACS Style

    Vishwa Nath Maurya; Bijay Singh; Swammy Vashist; Ghebrebrhan Ogubazghi; Vijay Vir Singh. Effectiveness Performance Analysis of Soil Minerals (Fe/Zn) on Soil Fertility and Cropping Patterns Using X-Ray Fluorescence Spectrometer (XRF) and ANOVA Method. Am. J. Biol. Environ. Stat. 2015, 1(1), 9-18. doi: 10.11648/j.ajbes.20150101.12

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    AMA Style

    Vishwa Nath Maurya, Bijay Singh, Swammy Vashist, Ghebrebrhan Ogubazghi, Vijay Vir Singh. Effectiveness Performance Analysis of Soil Minerals (Fe/Zn) on Soil Fertility and Cropping Patterns Using X-Ray Fluorescence Spectrometer (XRF) and ANOVA Method. Am J Biol Environ Stat. 2015;1(1):9-18. doi: 10.11648/j.ajbes.20150101.12

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  • @article{10.11648/j.ajbes.20150101.12,
      author = {Vishwa Nath Maurya and Bijay Singh and Swammy Vashist and Ghebrebrhan Ogubazghi and Vijay Vir Singh},
      title = {Effectiveness Performance Analysis of Soil Minerals (Fe/Zn) on Soil Fertility and Cropping Patterns Using X-Ray Fluorescence Spectrometer (XRF) and ANOVA Method},
      journal = {American Journal of Biological and Environmental Statistics},
      volume = {1},
      number = {1},
      pages = {9-18},
      doi = {10.11648/j.ajbes.20150101.12},
      url = {https://doi.org/10.11648/j.ajbes.20150101.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbes.20150101.12},
      abstract = {Present study envisages assessing partitioning of soil minerals (Fe/Zn) into seeds and distribution of minerals within plant, effects of foliar Fe [Ferrous sulphate (2%)] application on seed iron and zinc content. Here, our objective is to carry out effectiveness performance analysis of soil minerals (Fe/Zn) on soil fertility and cropping patterns using X-Ray Fluorescence Spectrometer (XRF) and ANOVA method. In Rwanda, Common beans are grown under quite diverse conditions including soil fertility, rain fall, and cropping system. Mineral concentrations in seeds were assessed at harvest using X-Ray Fluorescence Spectrometer (XRF). Genotypes were significantly different in their iron and zinc content with the means ranging between 51-126 ppm for iron and 28-45 ppm for zinc. Foliar iron application showed significant effect on some of the varieties in Rubona 2012A and Akanyirandoli 2012B and no significant effects on other varieties (bush and climbing) grown in Rubona and Akanyirandoli 2012A. Plant height has no significant effect on seed iron and zinc accumulation. Genetic and environmental interactions for bean seed concentration in iron and zinc was observed across sites at p < 0.001.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Effectiveness Performance Analysis of Soil Minerals (Fe/Zn) on Soil Fertility and Cropping Patterns Using X-Ray Fluorescence Spectrometer (XRF) and ANOVA Method
    AU  - Vishwa Nath Maurya
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    AU  - Vijay Vir Singh
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    T2  - American Journal of Biological and Environmental Statistics
    JF  - American Journal of Biological and Environmental Statistics
    JO  - American Journal of Biological and Environmental Statistics
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    EP  - 18
    PB  - Science Publishing Group
    SN  - 2471-979X
    UR  - https://doi.org/10.11648/j.ajbes.20150101.12
    AB  - Present study envisages assessing partitioning of soil minerals (Fe/Zn) into seeds and distribution of minerals within plant, effects of foliar Fe [Ferrous sulphate (2%)] application on seed iron and zinc content. Here, our objective is to carry out effectiveness performance analysis of soil minerals (Fe/Zn) on soil fertility and cropping patterns using X-Ray Fluorescence Spectrometer (XRF) and ANOVA method. In Rwanda, Common beans are grown under quite diverse conditions including soil fertility, rain fall, and cropping system. Mineral concentrations in seeds were assessed at harvest using X-Ray Fluorescence Spectrometer (XRF). Genotypes were significantly different in their iron and zinc content with the means ranging between 51-126 ppm for iron and 28-45 ppm for zinc. Foliar iron application showed significant effect on some of the varieties in Rubona 2012A and Akanyirandoli 2012B and no significant effects on other varieties (bush and climbing) grown in Rubona and Akanyirandoli 2012A. Plant height has no significant effect on seed iron and zinc accumulation. Genetic and environmental interactions for bean seed concentration in iron and zinc was observed across sites at p < 0.001.
    VL  - 1
    IS  - 1
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Author Information
  • Department of Applied Mathematics and Statistics, School of Science & Technology, The University of Fiji, Lautoka, Fiji

  • Department of Soil Sciences, Punjab Agricultural University, Ludhiana, India

  • Department of Accounting & Finance, Dilla University, Dilla, Ethiopia

  • Department of Earth Science, Eritrea Institute of Technology, Asmara, Eritrea

  • Department of Mathematics & Statistics, Yobe State University, Damutaru, Nigeria

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