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Poster communications

Predicting grass growth: The MoSt GG model

Elodie Ruelle 1 Luc Delaby 2 Deirdre Hennessy 1 
1 Animal & Grassland Research and Innovation Centre,Teagasc, Moorepark
2 PEGASE - Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes]
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https://hal.inria.fr/hal-02950323
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Submitted on : Sunday, September 27, 2020 - 6:25:48 PM
Last modification on : Friday, May 20, 2022 - 9:04:58 AM
Long-term archiving on: : Thursday, December 3, 2020 - 6:44:24 PM

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  • HAL Id : hal-02950323, version 1

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UNAM | TDS-MACS | INRAE | ICROPM2020 | ICROPM2020-SESSION1 | ICROPM2020-SESSION2 | ICROPM2020-SESSION3 | ICROPM2020-SESSION4 | ICROPM2020-SESSION5 | ICROPM2020-SESSION6 | ICROPM2020-SESSION7 | PHASE

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Elodie Ruelle, Luc Delaby, Deirdre Hennessy. Predicting grass growth: The MoSt GG model. ICROPM2020: Second International Crop Modelling Symposium , Feb 2020, Montpellier, France. ⟨hal-02950323⟩

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