Regression Analysis to Estimate Enset (Enset Ventricosum (Welw.) Cheesman) Kocho Yield from Vegetative Linear Dimensions
Journal of Plant Sciences
Volume 2, Issue 1, February 2014, Pages: 43-49
Received: Dec. 25, 2013;
Published: Feb. 20, 2014
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MikiasYeshitila Haile, Department of Plant and Horticultural Sciences, College of Agriculture, Hawassa University, Awassa, Ethiopia
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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.
Regression Model, Enset, Kocho, Moisture Content and Dry Matter
To cite this article
Regression Analysis to Estimate Enset (Enset Ventricosum (Welw.) Cheesman) Kocho Yield from Vegetative Linear Dimensions, Journal of Plant Sciences.
Vol. 2, No. 1,
2014, pp. 43-49.
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