A filtering algorithm for accurate determination of feed intake dynamics

P Blavy (1) , O Dhumez (1) , B L Nielsen (1) , Rafael Munoz Tamayo (1) , Nicolas N.C. Friggens (1) , Sylvie Giger-Reverdin (1)

1 MoSAR - Modélisation Systémique Appliquée aux Ruminants

Background : Feed intake is a useful measurement in many types of livestock studies. This variable can be obtained by measuring changes in feed weight (weight_m) over time using a weighing platform. The resulting data are a mixture of stable and variable (during animal or human interactions with the platform) feed weights. Results : This article proposes an algorithm that extract the stable parts, allowing accurate computing of feed intake. A GPL-3.0+ implementation of this algorithm in R is provided. Application is illustrated using individual data from cows, goats and mice Conclusions : Feed intake can be computed from weighing platform data in various species using our method.

Domaines: Bio-informatique [q-bio.QM]; Statistiques [math.ST]; Biologie animale; Science des productions animales; Zootechnie

P Blavy, O Dhumez, B L Nielsen, Rafael Munoz Tamayo, Nicolas N.C. Friggens, et al.. A filtering algorithm for accurate determination of feed intake dynamics. 2020. ⟨hal-02959928⟩