Pierluigi (Enrico) Bonello

About

Pierluigi (Enrico) Bonello is a Professor in the Department of Plant Pathology at The Ohio State University, specializing in the molecular and chemical ecology of trees. His research focuses on understanding the interactions between trees and their pathogens, utilizing molecular and chemical approaches to explore these relationships. As a faculty member, he contributes to advancing knowledge in plant pathology through his investigations into the ecological and molecular mechanisms that influence tree health and disease resistance.

Research topics

• Biology
• Computer Science
• Artificial Intelligence
• Machine Learning
• Political Science
• Ecology
• Business
• Mathematics
• Environmental resource management
• Botany

Selected publications

• Machine Learning-Based Presymptomatic Detection of Rice Sheath Blight Using Spectral Profiles

  Plant Phenomics · 2020 · 65 citations

  Senior authorCorresponding

  = 105). These results suggest that machine learning models could be developed into tools to diagnose infected but asymptomatic plants based on spectral profiles at the early stages of disease development. While testing and validation in field trials are still needed, this technique holds promise for application in the field for disease diagnosis and management.

  DOI

• The Global Forest Health Crisis: A Public-Good Social Dilemma in Need of International Collective Action

  Annual Review of Phytopathology · 2023 · 27 citations

  Senior authorCorresponding

  Society is confronted by interconnected threats to ecological sustainability. Among these is the devastation of forests by destructive non-native pathogens and insects introduced through global trade, leading to the loss of critical ecosystem services and a global forest health crisis. We argue that the forest health crisis is a public-good social dilemma and propose a response framework that incorporates principles of collective action. This framework enables scientists to better engage policym…

  PublisherDOI

• Invasive Tree Pests Devastate Ecosystems—A Proposed New Response Framework

  Frontiers in Forests and Global Change · 2020 · 27 citations

  1st authorCorresponding

  • Maintenance and restoration of forest ecosystems will be key to achieving necessary carbon sequestration goals, protecting biodiversity, and supporting healthy economies and societies. • Forest ecosystems are increasingly threatened by non-native forest insects and phytopathogens. • A portion of these pests are able to overcome prevention and containment efforts and become established in naïve ecosystems. • Once established these pests pose a long-term large-scale threat to forest ecosystems,…

  DOI

• A glimmer of hope – ash genotypes with increased resistance to ash dieback pathogen show cross‐resistance to emerald ash borer

  New Phytologist · 2023-06-21 · 22 citations

  articleOpen access

  Plants rely on cross-resistance traits to defend against multiple, phylogenetically distinct enemies. These traits are often the result of long co-evolutionary histories. Biological invasions can force naïve plants to cope with novel, coincident pests, and pathogens. For example, European ash (Fraxinus excelsior) is substantially threatened by the emerald ash borer (EAB), Agrilus planipennis, a wood-boring beetle, and the ash dieback (ADB) pathogen, Hymenoscyphus fraxineus. Yet, plant cross-resi…

  PublisherOA PDFDOI

• 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 · 2022 · 20 citations

  Senior authorCorresponding

  The ability to detect diseased trees before symptoms emerge is key in forest health management because it allows for more timely and targeted intervention. The objective of this study was to develop an in-field approach for early and rapid detection of beech leaf disease (BLD), an emerging disease of American beech trees, based on supervised classification models of leaf near-infrared (NIR) spectral profiles. To validate the effectiveness of the method we also utilized a qPCR-based protocol for…

  PublisherDOI

Frequent coauthors

• Daniel A. Herms

  Vall d'Hebron Hospital Universitari

  31 shared

• Caterina Villari

  28 shared

• Don Cipollini

  Wright State University

  25 shared

• David L. Wood

  24 shared

• Alieta Eyles

  University of Tasmania

  23 shared

• Justin G. A. Whitehill

  North Carolina State University

  23 shared

• Anna O. Conrad

  Northern Research Station

  19 shared

• Brice A. McPherson

  University of California, Berkeley

  18 shared

Education

• Ph.D., Plant Pathology

  University of California, Davis

  1991

• M.S., Plant Pathology

  University of California, Davis

  1987

• B.S., Botany

  University of California, Davis

  1985

Awards & honors

• Outstanding Innovation from the Reduce Risk of Invasive Spec…

Similar researchers at Ohio State University

• Guo-Liang Wangh-115
• Pierce Paulh-43
• Ye Xiah-42