| Peer-Reviewed

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
Views:       Downloads:
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), 2024. Published by Science Publishing Group

Keywords

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

References
[1] Andrade et al, Interaction of genotype by season and its influence on the identification of beans with high content of zinc and iron Bragantia, Vol.71(3), pp 336-431, 2012
[2] Arneja C.S., Maurya V.N. and Kaur Gaganpreet, Entrepreneurship development of Punjab farmers based on statistical survey, Journal of Engineering and Technology Research, Scientia Research Library, Georgia, Vol. 2(1), pp. 1-9, 2014, ISSN: 2348-0424, USA CODEN JETRB4
[3] Beebe S., Gonzalez A.V., and Rengifo J., Research on trace minerals in the common bean, Food Nutr. Bulletin, Vol. 21, pp387-91, 2000.
[4] Blair M.W., Astudillo C., Grusak M.A., Gram R. and Beebe S.E., Inheritance of seed iron and zinc content in common bean (Phaseolus vulgaris L.), Molecular Breeding, Vol. 23, pp197-207, 2009.
[5] Bouis, H.E., Micronutrient fortification of plants through plant breeding: can it improve nutrition in man at low cost? Proc. Nutr. Soc. Vol.62, pp.403-411, 2003
[6] Broughton W.J., Hernandez G., Blair M.W., Beebe S.E., Gepts P., and Vanderleyden J., Beans (Phaseolus spp.) – Model Food Legumes. Plant and Soil, Vol. 252, pp55-128, 2013.
[7] Cakmak I., Enrichment of cereal grains with zinc: Agronomic or genetic biofortification? Plant Soil, Vol. 302, pp.1-17, 2008.
[8] Frossard E., Bucher M., Machler F., Mozafar A., and Hurrell R., Potential for increasing the contact and bioavailability of Fe, Zn, and Ca in plants for human nutrition. J. Sc. Food Agr., Vol. 80, pp 861-879, 2000.
[9] Gregorio et al., Breeding for trace mineral density in Rice, Food and Nutrition Bulletin, Vol. 21(4), pp 382-386, 2000.
[10] Lyons, G.H., Genc Y. and Graham. R., Biofortification in the food chain, and use of selenium and phyto-compounds in risk reduction and control of prostate cancer. In G. Banuelos and Z-Q Lin (eds.). Development and uses of biofortified agricultural products. Boca Raton, USA: CRC Press, pp 17-44, 2008.
[11] Maurya V.N., Arora Diwinder Kaur, Maurya Avadhesh Kumar and Gautam Ram Asrey, Numerical simulation and design parameters in solar photovoltaic water pumping systems, American Journal of Engineering Technology, Academic & Scientific Publishing, New York, USA, Vol.1(1), pp. 1-09, 2013.
[12] Maurya V.N., Arora Diwinder Kaur, Maurya Avadhesh Kumar and Gautam R.A., Exact modeling of annual maximum rainfall with Gumbel and Frechet distributions using parameter estimation techniques, World of Sciences Journal, Engineers Press Publishing, Vienna, Austria, Vol.1(2), pp.11-26, 2013, ISSN: 2307-3071
[13] Maurya V.N., Maurya A.K. and Kaur D., A survey report on nonparametric hypothesis testing including Kruskal-Wallis ANOVA and Kolmogorov–Smirnov goodness-fit-test, International Journal of Information Technology & Operations Management, Academic and Scientific Publishing, New York, USA, Vol.1(2), pp. 29-40, 2013, ISSN: 2328-8531
[14] Maurya V.N., Singh Bijay, Reddy N., Singh V.V., Maurya A.K., Arora D.K., Cost-effective perspective and scenario development on economic optimization for multiple-use dry-season water resource management, American Open Journal of Agricultural Research, Academic & Scientific Publishing, New York, USA, Vol.2(1), pp. 1-21, 2014, ISSN:2333-2131
[15] Moraghan J.T., Padilla J., Etchevers J.D., GraftonK., Acosta-Gallegos J.A., Iron accumulation in seed of common bean. Plant and Soil, Vol. 246, pp.175-183, 2002.
[16] Nchimbi-Msolla S., and Tryphone G.M., The Effects of the Environment on Iron and Zinc Concentrations and Performance of Common Bean (Phaseolus vulgaris L.) Genotypes, Asian Journal of Plant Sciences, Vol. 9, pp455-462, 2010.
[17] Oihek.et al,. Environmental stability of iron and zinc concentrations in grain of elite early maturing tropical maize genotypes grown under field conditions,Journal of Agricultural Science, Vol.142, pp.543-551, 2004.
[18] Oxford Instruments. (March 2009). X- Supreme800 User's Guide. The Busness of Science.
[19] Paltridge N., Palmer L., and Stangoulis J., Micronutrient analysis in the HarvestPlus program. Rwanda: Harvest plus Training on how to use XRF machine, 2011.
[20] Petry, N., Egli I., Campion B., Nielsen, E. and Hurrell.R. Genetic reduction of phytate in Common bean (Phaseolus L.) seeds increases iron absorption in young women, Journal of Nutrition, 2013. doi 10.3945/jn113.175067.
[21] Prasanna et al., Genetic variability and Genotype x Environment interactions for kernel iron and zinc concentrations in maize (Zea mays) genotypes, Indian agricultural research Institute, new delhi, Vol.101-102, pp.704-711, 2011.
[22] Stangoulis J., Technical aspects of zinc and iron analysis in biofortification of the staple food crops, wheat and rice. World Congress of Soil Science, Soil Solutions for a Changing World, Brisbane, Australia. Vol. 42, pp 1-6, August 2010.
[23] Stangoulis J. and Sison C., Crop Sampling Protocols for Micronutrient Analysis. Harvest Plus Technical Monograph Series, Vol.7, 2008. ISBN 978-0-9818176-0-6.
[24] The 2012 Rwanda Comprehensive Food Security and Vulnerability Analysis and Nutrition Survey (CSFVA; WFP, 2012). http://www.wfp.org/content/rwanda-comprehensive-food-security-vulnerability-analysis-nutrition-survey-dec-2012
[25] Wang T.L., Domoney C., Hedley C.L., Casey R., and Grusak M.A, Can we improve the nutritional quality of legume seeds? Plant Physiol, Vol.131, pp 806-891, 2003..doi:10:1104/pp.102.0117665.
[26] Zeidan M.S., Manal,F., Mohamed and Hamouda H.A, Effetc of foliar fertilization of Fe, Mn and Zn on Wheat yield and Quality in low sandy soils fertility, World Journal of Agricultural Sciences, Vol. 6(6), pp.696-699, 2010.
[27] Zouzou M., Kouakou T.H., Kone M., and Issaka S., Screening rice (Oryza sativa L.) varieties for resistance to rice yellow mottle virus . 2008 Academic Journals. Scientic Research and Essays. Vol.3(9), pp416-424, 2008.
Cite This Article
  • APA Style

    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

    Copy | Download

    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

    Copy | Download

    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

    Copy | Download

  • @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}
    }
    

    Copy | Download

  • 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
    AU  - Bijay Singh
    AU  - Swammy Vashist
    AU  - Ghebrebrhan Ogubazghi
    AU  - Vijay Vir Singh
    Y1  - 2015/07/01
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ajbes.20150101.12
    DO  - 10.11648/j.ajbes.20150101.12
    T2  - American Journal of Biological and Environmental Statistics
    JF  - American Journal of Biological and Environmental Statistics
    JO  - American Journal of Biological and Environmental Statistics
    SP  - 9
    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
    ER  - 

    Copy | Download

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

  • Sections