Publications by authors named "P Bonello"

Terpenoids are defense metabolites that are induced upon infection or wounding. However, their role in systemic-induced resistance (SIR) is not known. Here, we explored the role of terpenoids in this phenomenon at a very early stage in the interaction between Austrian pine and the tip blight and canker pathogen Diplodia pinea.

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L. (white ash), a native North American tree commonly cultivated for its ornamental qualities, displayed symptoms of leaf spot disease in a sentinel garden located in Nanjing, Jiangsu, China, in 2022. This disease led to premature leaf shedding, adversely affecting the plant's growth and substantially diminishing its ornamental value.

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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.

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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.

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Article Synopsis
  • Beech Leaf Disease (BLD) is a serious threat to American beech trees in North America, first identified in 2012 and spreading across multiple states and Ontario, with no effective treatments currently available.
  • The disease is linked to a foliar nematode and certain bacterial species, and managing BLD focuses on prevention and quick eradication, which requires understanding its spread; this includes incorporating risk factors into management strategies.
  • The study analyzed BLD risk in regions of northern Ohio and surrounding areas using models like Maxent and OCSVM, finding that Maxent is more effective in predicting environmental risk, highlighting key factors like temperature variability and forest type that influence BLD spread.
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