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 |
Regression Model, Enset, Kocho, Moisture Content and Dry Matter
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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
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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Download@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}
}
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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