High-precision scanning system for complete 3D cow body shape imaging and analysis of morphological traits
2019
Le Cozler, Yannick | Allain, C | Caillot, Anaïs | Delouard, J.M. | Delattre, L. | Luginbuhl, T. | Faverdin, Philippe | Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE) ; Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST | Institut de l'élevage (IDELE) | 3D Ouest | APIS-GENE | ANR-15-CE20-0014,Deffilait,Améliorer l'efficacité alimentaire des vaches laitières : comprendre les déterminants grace à de nouveaux outils de phénotypage pour mieux l'évaluer et élaborer des stratégies de sélection génétique en fonction des conditions d'élevage(2015)
International audience
Mostrar más [+] Menos [-]Inglés. Monitoring the growth and body condition of cows is essential for optimal management of modern dairy farms. However, monitoring is rarely performed on commercial farms. Modern technologies based on three-dimensional (3D) shape analysis could address this problem. The objective of the present study was to test and validate tools that can record and analyze 3D body shapes of animals. On 30 Holstein dairy cows, wither height (WH), heart girth (HG), chest depth (CD), hip width (HW), backside width (BaW) and ischial width (IW) were manually measured. These manual measurements were compared to those measured with a scanner (Morpho3D) that provided 3D images of the entire cow body. Correlations between manual and Morpho3D measurements were high: 0.89 for CD, 0.82 for HW, 0.78 for HG, 0.76 for BaW, 0.63 for IW and 0.62 for WH. The mean coefficient of variation of reproducibility for Morpho3D was 2.8%. Future development can provide new opportunities for dairy herd management based on determining animal body volume and surface area.
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