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Sector roadmap

Plant Pathology

Plant pathology studies plant diseases caused by fungi, bacteria, viruses, oomycetes and nematodes — from field diagnosis and epidemiology to host-resistance genetics and genomic surveillance of emerging pathogens. Modern workflows combine classical mycology, qPCR/LAMP diagnostics, metabarcoding, and pathogen whole-genome sequencing to support breeding programs and crop protection.

EPPOAPSnetResFinder-PlantsGeneious
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Default learning track

4 phases · ~16–22 weeks

A baseline path through this sector with milestones, prerequisites, and concrete projects. Click Personalize this roadmap above to have the AI tailor pace, depth, and resources to your background and goals.

1

Phase 1 — Foundations

3–4 weeks 30–40 hours

Build the conceptual and quantitative base needed to read papers and follow tutorials in the sector.

Prerequisites

  • Comfortable with basic biology / health-science vocabulary
  • Ability to install software and use a terminal

Skills you'll build

Python or R basicsLinux shellGit/GitHubReading scientific literature

Hands-on projects

Reproducible analysis notebook

Walk through a published tutorial in Geneious / R + plant-pathogen WGS pipelines and reproduce its results on the provided sample data.

Deliverable: GitHub repo with a Jupyter/Quarto notebook, environment.yml, and README

Milestones

  • Set up reproducible Conda/Mamba environment and a public GitHub repo
  • Read and summarize 3 review papers covering the sector landscape
  • Complete an intro statistics or scripting course end-to-end
Citation · training
APSnet — American Phytopathological Society (education hub)
APS
Why: Exact sector match (Plant Pathology)
Dataset · dataset
EPPO Global Database (regulated plant pests)
EPPO
Why: Exact sector match (Plant Pathology)
2

Phase 2 — Core tools & datasets

4–6 weeks 60–80 hours

Learn the standard analytical stack of the sector and the canonical public datasets used by professionals.

Prerequisites

  • Completed Phase 1 reproducible notebook
  • Working Python/R environment

Skills you'll build

Geneious / R + plant-pathogen WGS pipelinesData wranglingQC & exploratory analysisVersion-controlled pipelines

Hands-on projects

Dataset deep-dive on EPPO Global Database + NCBI plant-pathogen genomes

Pick one study from EPPO Global Database + NCBI plant-pathogen genomes, reproduce the headline result, and write a short technical note on what you found.

Deliverable: GitHub repo + 3-page PDF write-up

Milestones

  • Run the official Geneious / R + plant-pathogen WGS pipelines tutorial end-to-end on real data
  • Download and explore one full dataset from EPPO Global Database + NCBI plant-pathogen genomes
  • Document a clean QC + analysis pipeline that another person could rerun
Citation · course
Plant Pathology — Open online course
Cornell · eCornell / Plant Pathology
Why: Exact sector match (Plant Pathology)
Dataset · dataset
CABI Plantwise Knowledge Bank
CABI
Why: Exact sector match (Plant Pathology)
3

Phase 3 — Applied projects

6–8 weeks 80–120 hours

Move from tutorials to original analyses on real questions. Start showing your work publicly.

Prerequisites

  • Phase 2 dataset deep-dive complete
  • Comfortable with the sector's primary tooling

Skills you'll build

End-to-end pipeline designStatistical interpretationScientific writingReproducible reports

Hands-on projects

Pathogen surveillance mini-study

Take a public plant-pathogen WGS set (e.g. Phytophthora or Xanthomonas) and produce a typing + AMR/virulence brief with recommendations.

Deliverable: Reproducible repo + phylogeny + 2-page surveillance brief

Milestones

  • Ship one original mini-analysis on a public dataset with clearly stated hypothesis and limitations
  • Engage with the APS (American Phytopathological Society) and EPPO networks (post a question, answer one, or share a notebook)
  • Get peer feedback on at least one project and iterate
Citation · documentation
FAO IPPC — International Plant Protection Convention resources
FAO IPPC
Why: Exact sector match (Plant Pathology)
Dataset · dataset
NCBI plant-pathogen genomes
NCBI
Why: Exact sector match (Plant Pathology)
4

Phase 4 — Portfolio & career launch

3–5 weeks 30–50 hours

Package your work, target real roles, and prepare to interview in the sector.

Prerequisites

  • Phase 3 capstone project shipped
  • 2+ public repos under version control

Skills you'll build

Technical CVPortfolio siteInterview prep (case studies + technical questions)Networking

Hands-on projects

Job-ready portfolio package

Curate 2–3 of your strongest sector projects into a portfolio site with clear case-study writeups, plus a 1-page CV tailored to the target role.

Deliverable: Live portfolio URL + PDF CV + cover letter template

Milestones

  • Publish a portfolio site or pinned GitHub README linking to 2–3 projects
  • Tailor CV to 3 real job ads in the sector and submit applications
  • Practice 5 mock technical interviews with sector-specific case studies
Citation · book
Plant–Pathogen Interactions (open textbook)
APS Press / OER
Why: Exact sector match (Plant Pathology)
Dataset · tool
Geneious Prime (plant-pathogen WGS workflows)
Geneious
Why: Exact sector match (Plant Pathology)

Curated learning resources

Verified, canonical resources from the official providers in this sector. The AI roadmap builder draws from this same library when it personalizes your roadmap.

Courses

Plant Pathology — Open online course
Cornell · eCornell / Plant Pathology
Coursera · Plant Bioinformatic Methods
Coursera · Univ. of Toronto
Python for Everybody
Coursera · Univ. of Michigan
LinkedIn Learning paths
LinkedIn

Trainings

APSnet — American Phytopathological Society (education hub)
APS
Software Carpentry lessons
The Carpentries
Kaggle Learn
Kaggle

Documentations

FAO IPPC — International Plant Protection Convention resources
FAO IPPC
EFSA Plant Health Panel reports
EFSA
Git & GitHub fundamentals
GitHub Docs

Tools

Geneious Prime (plant-pathogen WGS workflows)
Geneious

Datasets

EPPO Global Database (regulated plant pests)
EPPO
CABI Plantwise Knowledge Bank
CABI
NCBI plant-pathogen genomes
NCBI

Books

Plant–Pathogen Interactions (open textbook)
APS Press / OER
R for Data Science (2e)
Hadley Wickham et al.

Typical career paths

Plant Pathologist

Diagnoses crop diseases, designs field trials, and advises breeders, growers and extension services.

Plant-Pathogen Genomicist

Sequences and analyzes fungal/bacterial/viral plant pathogens for resistance, virulence and outbreak tracking.

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