Modeling the growth of tomato fruits based on enzyme activity profiles.

Daniel Jacob

Reports (Research Report) Year : 2020

Modeling the growth of tomato fruits based on enzyme activity profiles.

Modélisation de la croissance des fruits de la tomate sur la base de profils d'activité enzymatique.

(1)

Daniel Jacob

Function : Author
PersonId : 171181
IdHAL : daniel-jacob65
ORCID : 0000-0002-6687-7169
IdRef : 085566683

Biologie du fruit et pathologie

Abstract

Shows good adequacy of enzyme profiles for modeling tomato fruit growth. Notebook made in Rstudio with Rmarkdown using data from the FRIM project managed by ODAM through its API.

Keywords

plant growth notebook enzyme modeling ODAM

Domains

Life Sciences [q-bio] Life Sciences [q-bio] Vegetal Biology Life Sciences [q-bio] Quantitative Methods [q-bio.QM]

Fichier principal

FRIM1_Growth_model.pdf (816.4 Ko)

FRIM1_Growth_model.html (1.83 Mo)

Origin : Files produced by the author(s)

Daniel Jacob : Connect in order to contact the contributor

https://hal-cnrs.archives-ouvertes.fr/hal-02611223

Submitted on : Tuesday, May 19, 2020-2:58:28 PM

Last modification on : Wednesday, October 26, 2022-8:15:30 AM

Dates and versions

hal-02611223 , version 1 (19-05-2020)

Licence

Attribution - NonCommercial - ShareAlike - CC BY 4.0

Identifiers

HAL Id : hal-02611223 , version 1

Cite

Daniel Jacob. Modeling the growth of tomato fruits based on enzyme activity profiles.. [Research Report] INRAE. 2020. ⟨hal-02611223⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

CNRS LARA INRAE BFP

72 View

31 Download