Polynomial regressions reveal that levels of chlorophyll a, carotenoids, soluble phenolics and aldehydes modify mathematically sugarcane shoot multiplication rate in temporary immersion bioreactors under salt stress

Volume: 75, Issue: 11, Pages: 2025 - 2030
Published: May 13, 2020
Abstract
Polynomial regression analysis is a powerful statistical tool used to describe non-linear relationships. The goodness-of-fit of this model is assessed by evaluating the coefficient of determination (R2). An R2 value closer to 1 is indicative of a strong correlation between the two under consideration. While polynomial regression analysis has been widely used in studies of plant stress responses to stress, to the best of our knowledge, this...
Paper Details
Title
Polynomial regressions reveal that levels of chlorophyll a, carotenoids, soluble phenolics and aldehydes modify mathematically sugarcane shoot multiplication rate in temporary immersion bioreactors under salt stress
Published Date
May 13, 2020
Journal
Volume
75
Issue
11
Pages
2025 - 2030
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