Berea A. Etherton

ORCID: 0000-0002-4127-4484
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About
Contact & Profiles
Research Areas
  • Plant Pathogens and Resistance
  • Banana Cultivation and Research
  • Plant Virus Research Studies
  • Plant Pathogenic Bacteria Studies
  • Cassava research and cyanide
  • Plant-Microbe Interactions and Immunity
  • Phytoplasmas and Hemiptera pathogens
  • Plant and animal studies
  • Potato Plant Research
  • Smart Agriculture and AI
  • scientometrics and bibliometrics research
  • Insect-Plant Interactions and Control
  • Plant Pathogens and Fungal Diseases
  • Plant Disease Management Techniques
  • Agricultural Innovations and Practices
  • Open Source Software Innovations

University of Florida
2021-2025

Plant (United States)
2024

Disaster plant pathology addresses how natural and human-driven disasters impact diseases the requirements for smart management solutions. Local to global drivers of disease change in response disasters, often creating environments more conducive disease. Most have indirect effects on health through factors such as disrupted supply chains damaged infrastructure. There is also potential direct from pathogen or vector dispersal due floods, hurricanes, human migration driven by war. Pulse...

10.1094/phyto-03-24-0079-fi article EN Phytopathology 2024-04-09

Natural and human-driven disasters are a significant challenge to the sustainable production of food security crops in Great Lakes region Africa. A relevant research gap is effect climate change on distribution pathogens pests this region. We evaluated current geographic risk four - banana, cassava, potato, sweetpotato region, potential future under change. First, cropland connectivity analysis identified locations likely important spread establishment crop-specific for each crop, with...

10.1101/2025.01.08.631994 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2025-01-13

When emerging pathogens threaten global food security, collective action for disease management is key protecting systems. We evaluate how the informal exchange of information about epidemic and economic outcomes can influence decisions individuals resulting epidemics, in context avocado laurel wilt south Florida. In scenario analyses, we addressed socioeconomic networks, policy incentive structures, social behaviors combine to (a) across this region, (b) growers' management, (c) spread...

10.1016/j.agsy.2023.103615 article EN cc-by Agricultural Systems 2023-02-22

Policymakers and donors often need to identify the locations where technologies are most likely have important effects, increase benefits from agricultural development or extension efforts. Higher-quality information may help target high-benefit locations, but actions needed with limited information. The value of (VOI) in this context is formalized by evaluating results decision making guided a set specific compared acting without considering that We present framework for management...

10.1094/phyto-05-20-0202-r article EN cc-by Phytopathology 2021-08-13

Abstract Context Informal seed trade can exacerbate crop disease epidemics. Potato production across Ethiopia is threatened by the spread of seedborne pests and pathogens, particularly bacterial wilt, caused Ralstonia solanacearum Species Complex (RSSC). The RSSC commonly dispersed through informal potato, with potential to move long distances among trading countries. Efficient testing programs formal systems reduce risk expansion in a country’s potato cropping system. Objective In this...

10.1101/2024.02.12.579952 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-02-14

Abstract Cameroon and Ethiopia face humanitarian crises that disrupt the production of key food security crops like banana plantain, cassava, potato, sweetpotato. In this study, we address seed degeneration in these crops, reduction planting material quality due to accumulation pathogens pests. We consider context crises, with goal developing an ongoing ‘national plant health risk analysis’, case inform decisions about mitigating degeneration. analyzed cropland density maps applied network...

10.1101/2024.02.12.580019 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-02-14
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