Nonlinear regression models for estimating linseed growth, with proposals for data collection

Nonlinear regression models for estimating linseed growth, with proposals for data collection

Nonlinear regression models represent an alternative way to describe plant growth. In this study, we aimed to model the growth of linseed using four methods for data collection (longitudinal, mean, random, and cross-sectional) and fitting the logistic and Von Bertalanffy nonlinear regression models...

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Bibliographic Details
Main Authors: Mariane Peripolli, Alessandro Dal'Col Lúcio, Darlei Michalski Lambrecht, Jaqueline Sgarbossa, Lana Bruna de Oliveira Engers, Sidinei José Lopes, Leosane Cristina Bosco, Dislaine Becker
Format: Article
Language:English
Published: Eduem (Editora da Universidade Estadual de Maringá) 2024-04-01
Series:Acta Scientiarum: Agronomy
Subjects:
logistic; Von Bertalanffy; Linum usitatissimum; nonlinear regression.
Online Access:https://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/65771

Internet

https://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/65771

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