Random forest modeling to identify key farm-to-fork factors influencing Campylobacter ecology in pastured poultry systems.

Kim M, Al Hakeem WG, Rothrock MJ.

Open source

DOI: 10.1016/j.psj.2026.107274
Published: 2026-06-10
Container: Poult Sci
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.psj.2026.107274,
  title = {Random forest modeling to identify key farm-to-fork factors influencing Campylobacter ecology in pastured poultry systems.},
  author = {Kim M and  Al Hakeem WG and  Rothrock MJ.},
  year = {2026},
  journal = {Poult Sci},
  doi = {10.1016/j.psj.2026.107274},
  url = {https://doi.org/10.1016/j.psj.2026.107274}
}

RIS

TY  - JOUR
TI  - Random forest modeling to identify key farm-to-fork factors influencing Campylobacter ecology in pastured poultry systems.
AU  - Kim M
AU  -  Al Hakeem WG
AU  -  Rothrock MJ.
PY  - 2026
JO  - Poult Sci
DO  - 10.1016/j.psj.2026.107274
UR  - https://doi.org/10.1016/j.psj.2026.107274
ER  -

APA

M, K., WG, A. H., & MJ., R. (2026). Random forest modeling to identify key farm-to-fork factors influencing Campylobacter ecology in pastured poultry systems.. Poult Sci. https://doi.org/10.1016/j.psj.2026.107274

Source records

europe-pmc · retrieved 2026-09-25T08:14:32.793Z
doaj · retrieved 2026-09-25T08:14:32.785Z