A Richards growth model to predict fruit weight. (5th January 2023)

• Record Type: Journal Article
• Authors: Gerhard, Daniel; Moltchanova, Elena
• Is Part Of: Australian & New Zealand journal of statistics. Volume 64:Number 4(2022)
• Page Start: 413
• Page End: 421
• Publication Date: 2023-01-05
• Subjects: growth model -- model selection -- Markov chain Monte Carlo -- yield prediction; Statistics -- Periodicals; 519.5
• DOI: 10.1111/anzs.12380
• Languages: English
• ISSNs: 1369-1473

Abstract

Summary: The Richards model comprises several popular sigmoidal and monomolecular growth curves. We illustrate fitting of a Bayesian Richards model by splitting the full growth model into several submodels, followed by a model selection procedure. The performance of the methodology is evaluated by Monte Carlo simulations. A double‐sigmoidal version of the Richards model is applied to model grape bunch weight based on data from a New Zealand vineyard over a single growing period. A Bayesian Richards growth model applied to grape size data. Representations of phenological processes are selected through multi‐model inference.