Editorial: Increasing sustainability in livestock production systems through high-throughput phenotyping approaches.

Autor: Maiorano AM; Department of Animal Science, Federal University of Uberlandia, Uberlandia, Brazil., Ablondi M; Department of Veterinary Science, University of Parma, Parma, Italy., Qiao Y; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia., Steibel JP; Department of Animal Science, Iowa State University, Ames, IA, United States., Bernal Rubio YL; Zoetis, Kalamazoo, MI, United States.
Jazyk: angličtina
Zdroj: Frontiers in genetics [Front Genet] 2024 Apr 05; Vol. 15, pp. 1403133. Date of Electronic Publication: 2024 Apr 05 (Print Publication: 2024).
DOI: 10.3389/fgene.2024.1403133
Abstrakt: Competing Interests: Author YB was employed by Zoetis. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Databáze: MEDLINE