[PhD’s Corner] Caroline Xavier: High-speed phenotyping of body and carcass composition of the growing cattle by 3D imaging and dual-energy X-ray absorptiometry (DXA) coupled by machine learning

Caroline Xavier is one of the #DigitAg labelled PhDs

High-speed phenotyping of body and carcass composition of the growing cattle by 3D imaging and dual-energy X-ray absorptiometry (DXA) coupled by machine learning

  • Start Date: November 2019
  • University: Institut Agro
  • PhD School: EGAAL , Rennes (France)
  • Field(s): Animal science and new technology
  • Doctoral Thesis Advisor: Yannick Le Cozler, UMR Pegase, Institut Agro and Sylvain Lerch, UR Afpa, Université de Lorraine
  • Co-supervisors : Pierre Bressy and Isabelle Morel
  • Funding: INRAE – Institut Agro (Agrocampus Ouest)
  • #DigitAg: Labelled PhD – Axis 5, Challenge 4

Keywords: 3D imaging, growing cattle, body composition, DXA

Abstract:

This French-Swiss thesis project aims to develop innovative methods to estimate the body and carcass compositions of growing cattle. These methods are based on high-speed acquisition and processing  3-dimensional images of the external conformation of the vigilant animal and dual energy X-ray absorptiometry data (DXA) of the tissue composition on carcass. Information from these images and from post mortem chemical analyzes will be used to develop predictive models of composition of living animals. This project is based on the mobilization of modern imaging technologies that allow the acquisition of large data sets of morphological traits and chemical composition. Machine learning methods will be used to analyze efficiently these data sets, and continuously improve models. In comparison with existing in vivo approaches, the 3D imaging methods are unequaled in terms of precision / cost / acquisition time / non-invasiveness ratio. This technological breakthrough will improve the fine phenotyping of the body composition of growing animals, for application both in research and in breeding to adapt their diet to their individual needs, while reducing their emissions releases, and determine the completion of the fattening phase.

 

Contact: caroline.xavier [AT] agrocampus-ouest.fr

Social Networks: LinkedIn