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ZENODO
Model . 2025
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Model . 2025
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Model . 2025
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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SiriusQuality-BioMa-PhenoMaize-component

appsOther research productkeyboard_double_arrow_right Model 07 Jul 2025 English Publisher:Zenodo
Authors: Martre, Pierre; MANCEAU, Loïc; Roux, Lucille;

doi: 10.5281/zenodo.15828682 , 10.5281/zenodo.15828683

SiriusQuality-BioMa-PhenoMaize-component

Abstract

This document describes the procedure used in the SQ-PhenoMaize crop model component to determine, the timing of maize developmental phases and the number of leaves on the stem. The model is integrated in the maize crop model SiriusQuality as an independent component. This component is developed in the public domain software framework BioMA (Biophysical Model Applications). BioMA is developed using Microsoft C# language in .Net framework (version 4.5). The component was coded using the development environment Microsoft Visual Studio 2013.

Keywords

Phenology, Crop Model, Sirius Quality, Maize

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average