Peter Ojiambo

Bio

Peter uses geospatial analytics to understand how dispersal of plant pathogens affects the risk of disease outbreak at the landscape level. He applies spatio-temporal models to describe the dynamics of plant diseases in space and time with the goal of developing management decisions based on risk assessment and prediction of disease outbreaks. His research results are used to enhance monitoring of disease outbreaks and develop decision support tools in the integrated management of plant diseases. Other interests include exploring research that bridges epidemiology and population genetics.

Publications

• Identifying highly connected sites for risk-based surveillance and control of cucurbit downy mildew in the eastern United States , PEERJ (2024)
• MSE FINDR: A Shiny R Application to Estimate Mean Square Error Using Treatment Means and Post Hoc Test Results , PLANT DISEASE (2024)
• A Systematic Review and Quantitative Synthesis of the Efficacy of Quaternary Ammonium Compounds in Disinfesting Nonfungal Plant Pathogens , PLANT DISEASE (2023)
• Effects of Host and Weather Factors on the Growth Rate of Septoria nodorum Blotch Lesions on Winter Wheat , PHYTOPATHOLOGY (2023)
• A Systematic Review and Quantitative Synthesis of the Efficacy of Quaternary Ammonium Disinfestants Against Fungal Plant Pathogens , PLANT DISEASE (2022)
• Dataset for transcriptomic profiles associated with development of sexual structures in Aspergillus flavus , DATA IN BRIEF (2022)
• Development of sexual structures influences metabolomic and transcriptomic profiles in Aspergillus flavus , FUNGAL BIOLOGY (2022)
• Efficacy of peroxygen disinfestants against fungal plant pathogens. A systemic review and meta-analysis , CROP PROTECTION (2022)
• Evaluation of a Model for Predicting Onset of Septoria nodorum Blotch in Winter Wheat , PLANT DISEASE (2022)
• Field Occurrence and Overwintering of Oospores of Pseudoperonospora cubensis in the Southeastern United States , PHYTOPATHOLOGY (2022)