Carrie Fearer

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.