Estimation of dairy goat body composition: A direct calibration and comparison of eight methods - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Methods Year : 2021

Estimation of dairy goat body composition: A direct calibration and comparison of eight methods

Sylvain Lerch
  • Function : Author
Mathieu Monziols
  • Function : Author
  • PersonId : 1077474
Loïc Louis
  • Function : Author
  • PersonId : 1077476
Dominique Heimo
  • Function : Author

Abstract

The objective was to compare eight methods for estimation of dairy goat body composition, by calibrating against chemical composition (water, lipid, protein, mineral and energy) measured post-mortem. The methods tested on 20 Alpine goats were body condition score (BCS), 3-dimension imaging (3D) automatic assessment of BCS or whole body scan, ultrasound, computer tomography (CT), adipose cell diameter, deuterium oxide dilution space (D 2 OS) and bioelectrical impedance spectroscopy (BIS). Regressions were tested between predictive variates derived from the methods and empty body (EB) composition. The best equations for estimation of EB lipid mass included BW combined with i) perirenal adipose tissue mass and cell diameter (R 2 = 0.95, residual standard deviation, rSD = 0.57 kg), ii) volume of fatty tissues measured by CT (R 2 = 0.92, rSD = 0.76 kg), iii) D 2 OS (R 2 = 0.91, rSD = 0.85 kg), and iv) resistance at infinite frequency from BIS (R 2 = 0.87, rSD = 1.09 kg). The D 2 OS combined with BW provided the best equation for EB protein mass (R 2 = 0.97, rSD = 0.17 kg), whereas BW alone provided a fair estimate (R 2 = 0.92, rSD = 0.25 kg). Sternal BCS combined with BW provided good estimation of EB lipid and protein mass (R 2 = 0.80 and 0.95, rSD = 1.27 and 0.22 kg, respectively). Compared to manual BCS, BCS by 3D slightly decreased the precision of the predictive equation for EB lipid (R 2 = 0.74, rSD = 1.46 kg), and did not improve the estimation of EB protein compared with BW alone. Ultrasound measurements and whole body 3D imaging methods were not satisfactory estimators of body composition (R 2 ≤ 0.40). Further developments in body composition techniques may contribute for high-throughput phenotyping of robustness.
Fichier principal
Vignette du fichier
Lerch et al 2020.pdf (1.11 Mo) Télécharger le fichier
Lerchetal2020 Suppl.pdf (582.07 Ko) Télécharger le fichier
Origin Publication funded by an institution
Loading...

Dates and versions

hal-02934522 , version 1 (09-09-2020)

Licence

Identifiers

Cite

Sylvain Lerch, Anne de La Torre, Christophe Huau, Mathieu Monziols, Caroline Xavier, et al.. Estimation of dairy goat body composition: A direct calibration and comparison of eight methods. Methods, 2021, 186, pp.68-78. ⟨10.1016/j.ymeth.2020.06.014⟩. ⟨hal-02934522⟩
490 View
251 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More