Assessing Inter-Individual Genetic Variability in Peach Sugar Metabolism through Reliable Parameter Estimation of a Kinetic Model

The provided codes allow for the faithful reproduction of the results presented in this article, including parameter estimations, comparisons between calibration strategies (Genotype-Based and Population-Based), and the associated figures and tables. These codes implement the optimization algorithms used in the study (GA, NSGA-II, and MCMC-SAEM) and are designed to analyze inter-individual variability in the kinetic model of sugar metabolism in peaches.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-04
DOI
https://doi.org/10.5281/zenodo.14781702
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing Inter-Individual Genetic Variability in Peach Sugar Metabolism through Reliable Parameter Estimation of a Kinetic Model

Zenodo (CERN European Organization for Nuclear Research)
Genetics and Plant Breeding
article

Assessing Inter-Individual Genetic Variability in Peach Sugar Metabolism through Reliable Parameter Estimation of a Kinetic Model

article en

Abstract

The provided codes allow for the faithful reproduction of the results presented in this article, including parameter estimations, comparisons between calibration strategies (Genotype-Based and Population-Based), and the associated figures and tables. These codes implement the optimization algorithms used in the study (GA, NSGA-II, and MCMC-SAEM) and are designed to analyze inter-individual variability in the kinetic model of sugar metabolism in peaches.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 44%
Genetics and Plant Breeding
DOIOpen Access PDFOpenAlex
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Assessing Inter-Individual Genetic Variability in Peach Sugar Metabolism through Reliable Parameter Estimation of a Kinetic Model · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS