Enteric CH4 emissions predicted from milk MIR spectra: robustness as the key to a model that crosses borders​

Vanlierde, Amélie; Dehareng, Frédéric; Gengler, Nicolas; Leblois, Julie; Soyeurt, Hélène

Unpublished conference/Abstract (Scientific congresses and symposiums)

Enteric CH4 emissions predicted from milk MIR spectra: robustness as the key to a model that crosses borders

Vanlierde, Amélie; Dehareng, Frédéric; Gengler, Nicolas et al.

2024 • ICAR FEED AND GAS WG WEBINAR “USING MIR TO PREDICT METHANE EMISSIONS” IN COLLABORATION WITH ICAR/IDF EXTRAMIR PROJECT

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https://hdl.handle.net/2268/334029

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Keywords :

mid-infrared; methane; machine learning; milk; dairy; cow

Disciplines :

Animal production & animal husbandry

Author, co-author :

Vanlierde, Amélie

Dehareng, Frédéric; CRA-W - Centre Wallon de Recherches agronomiques

Gengler, Nicolas ; Université de Liège - ULiège > Département GxABT > Animal Sciences (AS)

Leblois, Julie; Association Wallonne de l'Elevage

Soyeurt, Hélène ; Université de Liège - ULiège > Département GxABT > Modélisation et développement

Language :

English

Title :

Enteric CH4 emissions predicted from milk MIR spectra: robustness as the key to a model that crosses borders

Alternative titles :

[fr] Émissions entériques de CH₄ prédites à partir des spectres MIR du lait : la robustesse comme clé d’un modèle transfrontalier

Original title :

[en] Enteric CH4 emissions predicted from milk MIR spectra: robustness as the key to a model that crosses borders

Publication date :

2024

Event name :

ICAR FEED AND GAS WG WEBINAR “USING MIR TO PREDICT METHANE EMISSIONS” IN COLLABORATION WITH ICAR/IDF EXTRAMIR PROJECT

Event organizer :

ICAR Feed and Gas working group

Event place :

Utrecht, Netherlands

Event date :

6 mars 2024

By request :

Yes

Audience :

International

Available on ORBi :

since 06 July 2025

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