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Regression Analysis to Estimate Enset (Enset Ventricosum (Welw.) Cheesman) Kocho Yield from Vegetative Linear Dimensions

Received: 25 December 2013     Published: 20 February 2014
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Abstract

The objective of this research was to develop multiple regression models which will enable to predict kocho yield from linear dimensions of enset considering different clones. The experiment was carried out at Areka Agricultural Research on-station site on a total number of 328 enset clones from the six major enset growing areas of Southern Ethiopia (59, 46, 49, 44, 49, and 81 from Gofa, Guragie, Wolaita, Sidamo, Dawro and Kembata respectively).Plant height and pseudostem circumference were found out to be the best non-destructive enset kocho yield predictors. The R2 value for estimating fermented unsqueezed kocho yield was about 0.78 with the equation FUNK= -26.12 + 5.43 PH + 20.05 PSC describing the relationship of fermented un-squeezed kocho as a function of enset plant height and pseudostem circumference measurements. From the slope of linear relation line which was forced through the origin the amount of kocho in un-squeezed kocho is about 69% and the rest 31% will be the moisture. In an attempt to estimate fiber yield from measurements of the vegetative parameters, none of the regression relationships gave a significant result.

Published in Journal of Plant Sciences (Volume 2, Issue 1)
DOI 10.11648/j.jps.20140201.18
Page(s) 43-49
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), 2014. Published by Science Publishing Group

Keywords

Regression Model, Enset, Kocho, Moisture Content and Dry Matter

References
[1] Endale T. 1997. Morphological characterization of enset (Enset ventricosum(Welw.) Cheesman) clones and the association of yield with different traits. MSc Thesis, Alemaya University of Agriculture, Alemaya, Ethiopia, p 89.
[2] Central Statistical Authority and Ministry of Agriculture. 1994. Area production and yield of crops, private holdings, 1993/1994 Meher season, Addis Ababa, Ethiopia.
[3] Mulgeta D, Mikias Y, Ermias T, Endale T. 2008. Enset agronomy. In Gebremedhin WG (ed). Root and Tuber Crops the Untapped Resources. 2008, EIAR, Ethiopia195-208.
[4] FAO. 1994. Crop and food supply assessment mission. Annual Report for the period 1993/94. Addis Ababa, Ethiopia.
[5] Shank R, Chernet E. 1996. Enset crop assessment: A Linear Model for Predicting Enset Yield and Assessment of Kocho Production. Addis Ababa: UN Emergencies Unit for Ethiopia and World Food Program. Manuscript on File.
[6] Ethiopian Mapping Authority. 1988. National Atlas of Ethiopia (1st. ed). BerhanenaSelam Printing Press, Addis Ababa, Ethiopia.
[7] Asrat A,Hailu A, Shewangizaw T. 1991. Meteorological data for IAR centers. Sub-centers and trail sites. Miscellaneous Pub. No. 1, IAR, Addis Ababa, Ethiopia
[8] Hailu A, Shewangizaw T, KumlachewA. 1993. Agro-meteorological data summery. 1992 and term monthly mean. IAR, Nazreth, Ethiopia.
[9] Murphey H.F. 1959. Soils of Ethiopia: A report on the fertility status of some soils of Ethiopia. Experiment Station Bull. No. 1. Imperial Ethiopia College of Agriculture and Mechanical Arts, Alemaya, Ethiopia
[10] Mulugeta D. 1996. Manual on production and utilization of enset in South and South Western Ethiopia. Joint publication of SNNPRG and ECA, Addis Ababa, Ethiopia.
[11] Kefale A, Stephen S. 1991. Enset in North Omo region, Farmer’s Research Project Technical Pamphlet No.1. Farm Africa, Addis Abeba, Ethiopia.49pp.
[12] Teketel M. 1976. A study on the yield of enset. Proceedings of the 6th Annual Research Seminar, 12-14 November 1975, IAR, Addis Ababa.
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  • APA Style

    MikiasYeshitila Haile. (2014). Regression Analysis to Estimate Enset (Enset Ventricosum (Welw.) Cheesman) Kocho Yield from Vegetative Linear Dimensions. Journal of Plant Sciences, 2(1), 43-49. https://doi.org/10.11648/j.jps.20140201.18

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    ACS Style

    MikiasYeshitila Haile. Regression Analysis to Estimate Enset (Enset Ventricosum (Welw.) Cheesman) Kocho Yield from Vegetative Linear Dimensions. J. Plant Sci. 2014, 2(1), 43-49. doi: 10.11648/j.jps.20140201.18

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    AMA Style

    MikiasYeshitila Haile. Regression Analysis to Estimate Enset (Enset Ventricosum (Welw.) Cheesman) Kocho Yield from Vegetative Linear Dimensions. J Plant Sci. 2014;2(1):43-49. doi: 10.11648/j.jps.20140201.18

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  • @article{10.11648/j.jps.20140201.18,
      author = {MikiasYeshitila Haile},
      title = {Regression Analysis to Estimate Enset (Enset Ventricosum (Welw.) Cheesman) Kocho Yield from Vegetative Linear Dimensions},
      journal = {Journal of Plant Sciences},
      volume = {2},
      number = {1},
      pages = {43-49},
      doi = {10.11648/j.jps.20140201.18},
      url = {https://doi.org/10.11648/j.jps.20140201.18},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20140201.18},
      abstract = {The objective of this research was to develop multiple regression models which will enable to predict kocho yield from linear dimensions of enset considering different clones. The experiment was carried out at Areka Agricultural Research on-station site on a total number of 328 enset clones from the six major enset growing areas of Southern Ethiopia (59, 46, 49, 44, 49, and 81 from Gofa, Guragie, Wolaita, Sidamo, Dawro and Kembata respectively).Plant height and pseudostem circumference were found out to be the best non-destructive enset kocho yield predictors. The R2 value for estimating fermented unsqueezed  kocho yield was about 0.78 with the equation FUNK= -26.12 + 5.43 PH + 20.05 PSC  describing the relationship of fermented un-squeezed  kocho as a function of enset plant height and pseudostem circumference measurements. From the slope of linear relation line which was forced through the origin the amount of kocho in un-squeezed kocho is about 69% and the rest 31% will be the moisture. In an attempt to estimate fiber yield from measurements of the vegetative parameters, none of the regression relationships gave a significant result.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Regression Analysis to Estimate Enset (Enset Ventricosum (Welw.) Cheesman) Kocho Yield from Vegetative Linear Dimensions
    AU  - MikiasYeshitila Haile
    Y1  - 2014/02/20
    PY  - 2014
    N1  - https://doi.org/10.11648/j.jps.20140201.18
    DO  - 10.11648/j.jps.20140201.18
    T2  - Journal of Plant Sciences
    JF  - Journal of Plant Sciences
    JO  - Journal of Plant Sciences
    SP  - 43
    EP  - 49
    PB  - Science Publishing Group
    SN  - 2331-0731
    UR  - https://doi.org/10.11648/j.jps.20140201.18
    AB  - The objective of this research was to develop multiple regression models which will enable to predict kocho yield from linear dimensions of enset considering different clones. The experiment was carried out at Areka Agricultural Research on-station site on a total number of 328 enset clones from the six major enset growing areas of Southern Ethiopia (59, 46, 49, 44, 49, and 81 from Gofa, Guragie, Wolaita, Sidamo, Dawro and Kembata respectively).Plant height and pseudostem circumference were found out to be the best non-destructive enset kocho yield predictors. The R2 value for estimating fermented unsqueezed  kocho yield was about 0.78 with the equation FUNK= -26.12 + 5.43 PH + 20.05 PSC  describing the relationship of fermented un-squeezed  kocho as a function of enset plant height and pseudostem circumference measurements. From the slope of linear relation line which was forced through the origin the amount of kocho in un-squeezed kocho is about 69% and the rest 31% will be the moisture. In an attempt to estimate fiber yield from measurements of the vegetative parameters, none of the regression relationships gave a significant result.
    VL  - 2
    IS  - 1
    ER  - 

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Author Information
  • Department of Plant and Horticultural Sciences, College of Agriculture, Hawassa University, Awassa, Ethiopia

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