Improving the Characterization of Livestock Effluents Using Innovative Methods and Models for Better Agronomic Assessment
This paper presents a project that enhances the agronomic assessment of livestock effluents by developing predictive models and applying near-infrared spectroscopy to better characterize manure composition and spreading behavior.
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Detail beschrijving
The study describes the 'Manure' project aimed at optimizing the use of livestock effluents for crop fertilization through improved knowledge of their composition and field behavior. It first analyzes the diversity of effluent types and identifies shortcomings in current references. Then it details two innovative approaches: a predictive modelling framework that links barn systems and storage conditions to chemical composition, and the use of near-infrared spectroscopy (NIRS) for rapid, non-destructive estimation of key biochemical parameters. New reference datasets were generated for both raw and treated effluents, providing enhanced inputs for decision-support tools to refine fertilization practices and environmental evaluations.
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Details bijdrage
- Project
- Locatie
- France
- Auteurs
- Fabienne BUTLER, Mathilde HEURTAUX, Robert TROCHARD, Bertrand DECOOPMAN, Elodie DEZAT, Aurore LOUSSOARN, Laurent THURIÈS, Alicia CHARPIOT, Elise LORINQUER, Pascal LEVASSEUR, Claude AUBERT, Jean-Marie MACHET, Thierry MORVAN, Virginie PARNAUDEAU, Pascal DENOROY, Emilie DIEUDÉ-FAUVEL, Nathalie DAMAY et Caroline LE ROUX
- Doel
- Adopt innovative practices
- Soort bestand
- document
- Gepubliceerd op
- 01 mrt 2014
- Taal van herkomst
- French
- Officiële project website
- Innovations agronomiques
- Licensie
- CC BY