Mediation and ANCOVA Models to Study the Influence of Solvent Retting Traits and Plant Physique on Bast Fiber Yield and Retting Time
Name
Mediation and ANCOVA Models to Study the Influence of Solvent Retting Traits and Plant Physique on Bast Fiber Yield and Retting Time.pdf
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6.72 MB
Format
Adobe PDF
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77efbc3e7b76e1e1a5020b040b650953
Author(s)
Shuvo, Ikra Iftekhar
Hoque, Md. Saiful
Khandakar, Lovely K. M.
Date Issued
July 11, 2022
Journal
Journal of Natural Fibers
Publisher
Taylor & Francis
Citation
Shuvo, I. I., Hoque, Md. S., & Khandakar, L. K. M. (2022). Mediation and ANCOVA Models to Study the Influence of Solvent Retting Traits and Plant Physique on Bast Fiber Yield and Retting Time. Journal of Natural Fibers, 19(16), 13311–13325.
Version
Final published version
Abstract
The study aims in applying two statistical tools to analyze the retting beha-vior of plant stems for extracting bast fibers for industrial applications. Atfirst, a mediation model is employed to investigate the first hypothesis of thiswork that involves studying the color response of the retted solvent asa function of retting time on the responsible variable, fiber yield (%).Statistically, there is a significant indirect effect of retting time on fiberyield (%) through retting trait (β = −0.0142, 95% C.I. [−0.0274, −0.0011]) –a statistical inference bolstered by the Sobel test result, confirming themediation effect (p-value = 0.0329 < 0.05; z-score = −2.1334; bootstrappingof 5000 resamples). Next, the second hypothesis of the current work involvesanalyzing the impact of stem form-factors on their retting time using thestatistical tool, ANCOVA. The partial- η2 indicates that cultivar treatmentaccounts for 30% variance of the retting time while controlling for the effectsof two covariates – diameter and length of the stems, in this case. Bycontrolling the Type-I error, Bonferroni and similar post-hoc tests also con-firm the statistical significance of cultivar categories pertaining to their meanretting time. Future work could focus on these underlying hypotheses andstudy the impact of microorganisms, environmental factors, and cultivartreatment variables on the retting time to optimize the overall fiber yieldand production process.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
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Creative Commons Attribution-NonCommercial-NoDerivatives
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DOI of Published Version
https://doi.org/10.1080/15440478.2022.2091707
