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Carrie Fearer

Carrie Fearer

Carrie Fearer
319B Cheatham Hall
310 West Campus Dr.
Virginia Tech
Blacksburg, VA 24061

B.S., The Ohio State University, 2017
M.S., The Ohio State University, 2019
Ph.D., The Ohio State University, 2022

Forest pathology

  • Forest health
  • Bioinformatics
  • Endophytes and the tree microbiome
  • Early disease detection techniques
  • Host resistance
  • Forest ecosystem adaptations to alien, invasive pests and pathogens

FREC 4514

 Fearer, C.J., Malacrinò, A., Rosa, C., and Bonello, P. 2022. Phytobiome metabarcoding: A tool to help identify prokaryotic and eukaryotic causal agents of undiagnosed tree diseases. In: Luchi, N. (ed.)

Plant Pathology: Methods and Protocols. Methods in Molecular Biology.  Humana, New York, NY. doi: 10.1007/978-1-0716-2517-0_19.

Fearer, C.J., Conrad, A.O., Marra, R.E., Georskey, C., Villari, C., Slot, J., and Bonello, P. 2022. A combined approach for early in-field detection of beech leaf disease using near-infrared spectroscopy and machine learning. Frontiers in Forests and Global Change 5(934545). doi: 10.3389/ffgc.2022.934545.

Ewing, C.J., Slot, J., Benítez, M., Rosa, C., Malacrinò, A., Bennett, A., and Bonello, P. 2021. The foliar microbiome suggests fungal and bacterial agents may be involved in the beech leaf disease pathosystem. Phytobiomes Journal 5(3): 2471-2906. doi: 10.1094/PBIOMES-12-20-0088-R.

Ewing, C.J., Hausman, C.E., Pogacnik, J., Slot, J., and Bonello, P. 2019. Beech leaf disease: An emerging forest epidemic. Forest Pathology 49(2). doi: 10.1111/efp.12488.