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2015

https://plantpath.osu.edu/research/publications-current/2015

Xu, X. "Combining models is more likely to give better predictions than single models." ... western United States: taxonomy, multi-locus phylogeny and a new species, C. multicontinentalis. ...

Janson Stover Scholarship

https://plantpath.osu.edu/alumni/janson-stover

from the University of Western Ontario. She has been employed at OARDC since 1999 and is active in ...

2017

https://plantpath.osu.edu/research/publications-current/2017

937-949. Ilic, S., LeJeune, J.T., Lewis Ivey, M.L. and Miller, S.A. 2017. Delphi expert elicitation to ... Sikora, E., Sims, A., Keever, Z., Miller, S.A., Lewis Ivey, M.L., Ojiiamba, P. 2017. Predicting the risk ...

Pierce A. Paul

https://plantpath.osu.edu/our-people/pierce-paul

these models to make disease management decisions based on risk assessment and disease prediction. An ... management through disease prediction and risk assessment. Basic research has to be an ongoing process if we ... information delivery systems to development and use prediction and risk assessment models as decision-making ...

Pierluigi (Enrico) Bonello

https://plantpath.osu.edu/our-people/pierluigi-enrico-bonello

Inducibility of plant secondary metabolites predicts genetic variation in resistance against a key insect ... with machine learning News Refinement in a new light- Newsletter from the Swedish University of ... dying, and no one knows why (CFAES News Release) Podcast, beech disease in northern Ohio, 97.1 An ...

Ellis publications

https://plantpath.osu.edu/our-people/ellis/lab/publications

Ellis, M.A. 2005. Characterization of Phomopsis spp. Infecting Grapevines in the Great Lakes Region of ...

2019

https://plantpath.osu.edu/research/publications/2019

metabolites predicts genetic variation in resistance against a key insect herbivore in maritime pine. ... A., Paul, P. A., De Wolf, E. D., and Madden, L.V. (2019). Predicting plant disease epidemics from ...