Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5617
Title: Chapter 11 : How to data fitting your experimental data on crop growth: Step-by-step guide using mycurvefit
Authors: Nurul Syaza Abdul Latif 
Noor Asma’ Mohd Anuar Mushoddad 
Keywords: Plant growth
Issue Date: 2023
Publisher: UMK Press
Abstract: 
Plant growth analysis is now a widely used tool in various fields such as plant breeding, physiology, and ecology. Changes in a phenotype during the growth period can be modelled via growth curves, such as generalized logistic, logistic or Gompertz growth curves. Behaviour of the growth curves can change according to the living organisms, the phenotype to be studied and environment to which it is exposed. To be able to evaluate the growth data correctly, it is required to select a suitable growth curve and its parameters should be able to be interpreted biologically.
Description: 
Mapim
URI: http://hdl.handle.net/123456789/5617
ISBN: 978-629-489-005-3
Appears in Collections:Book Sections (Others) - FIAT

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