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. |
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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 |
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