Hossein A. Narouei‐Khandan

ORCID: 0000-0002-4218-5934
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About
Contact & Profiles
Research Areas
  • Plant Pathogens and Fungal Diseases
  • Phytoplasmas and Hemiptera pathogens
  • Plant Pathogens and Resistance
  • Plant Pathogenic Bacteria Studies
  • Insect-Plant Interactions and Control
  • Mosquito-borne diseases and control
  • Yeasts and Rust Fungi Studies
  • Nematode management and characterization studies
  • Species Distribution and Climate Change
  • Horticultural and Viticultural Research
  • Powdery Mildew Fungal Diseases
  • Insect symbiosis and bacterial influences
  • Plant responses to elevated CO2
  • Forest Insect Ecology and Management
  • Banana Cultivation and Research
  • Potato Plant Research
  • Cocoa and Sweet Potato Agronomy
  • Plant Disease Management Techniques

Lincoln University
2019-2022

University of Florida
2015-2020

Ministry for Primary Industries
2018-2020

Plant (United States)
2018

Abstract Predicting where crop pests and diseases can occur, both now in the future under different climate change scenarios, is a major challenge for management. One solution to estimate fundamental thermal niche of pest/disease indicate establishment possible. Here, we develop methods estimating displaying pathogens apply these Huanglongbing (HLB), vector‐borne disease that currently threatening citrus industry worldwide. We derive suitability metric based on mathematical model HLB...

10.1111/1365-2664.13455 article EN publisher-specific-oa Journal of Applied Ecology 2019-07-01

Myrtle rust (caused by Austropuccinia psidii ) affects more than 500 known host species in the Myrtaceae family. Three different modelling approaches (CLIMEX, MaxEnt and Multi‐Model Framework) were used to project habitat suitability for myrtle at both global local scales. Current data on occurrence of collected from online literature expert solicitation. Long‐term averages climate (1960–1990) sourced WorldClim CliMond websites. Recent reports New Zealand validation model outputs but not...

10.1111/ppa.13111 article EN Plant Pathology 2019-10-24

Temperature response curves under diurnal oscillating temperatures differ from those constant conditions for all stages of the Phytophthora infestans infection cycle on potatoes. We developed a mechanistic model (BLIGHTSIM) with an hourly time step to simulate late blight fluctuating environmental and predict epidemics in potato fields. BLIGHTSIM is modified susceptible (S), latent (L), infectious (I) removed (R) compartmental temperature relative humidity as driving variables. The was...

10.3390/pathogens9080659 article EN cc-by Pathogens 2020-08-15

Banana is an important crop in the Kagera region of Tanzania. xanthomonas wilt ( BXW ) was first reported 2006, and now limiting factor banana production, because all cultivars are susceptible infected plants can fail to produce fruit. caused by Xanthomonas campestris pv. musacearum (Xcm), which spread farm tools, planting materials, pollinating insects. Practices that address Xcm dissemination, such as mat removal, debudding tool sterilization, have not prevented region. Disease surveys...

10.1111/ppa.12637 article EN Plant Pathology 2016-10-19

In recent years, outbreaks of kiwifruit bacterial canker (Pseudomonas syringae pv. actinidiae, Psa) have caused huge economic losses to two major global producers, Italy and New Zealand. To evaluate the potential risk areas Psa, three modelling methods (MaxEnt, CLIMEX a Multi-Model Framework, including Support Vector Machine or SVM) were used. Current occurrence data for Psa collected from different sources. The long-term climate sourced WorldClim CliMond websites. model results combined...

10.3390/cli10020014 article EN Climate 2022-01-28

Abstract International trade in live plant materials has increased worldwide over the last four decades. This led to a dramatic increase introduction, establishment and spread of non‐native pathogens. Regulatory authorities need advice on measures that may mitigate these adverse consequences trade. Risk models be used underpin such advice. In this review, we give systematic overview data needed for quantitative risk model Phomopsis vaccinii , which causes stem fruit infections Vaccinium...

10.1111/aab.12414 article EN Annals of Applied Biology 2018-02-19

Abstract Predicting where crop pests and diseases can occur, both now in the future under different climate change scenarios, is a major challenge for management. One solution to estimate fundamental thermal niche of pest/disease indicate establishment possible. Here we develop methods estimating displaying pathogens apply these Huanglongbing (HLB), vector-borne disease that currently threatening citrus industry worldwide. We derive suitability metric based on mathematical model HLB...

10.1101/465898 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2018-11-09
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