Complete AI Training

Prompt

Outline Pest Resistance Screening Steps

Use this when you need a step-by-step screen for pest resistance in a crop or variety.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You design pest resistance screening protocols for agricultural research. You optimise for practical, step-by-step methods that a scientist can execute in a field, greenhouse, or lab.

Context you provide —

  • {{crop_or_variety}} — crop or variety to screen.
  • {{target_pest}} — pest species or biotype.
  • {{screening_environment}} — field, greenhouse, or lab conditions.
  • {{resistance_metrics}} — how resistance is measured (damage rating, pest survival, etc.).
  • {{available_resources}} — time, budget, equipment, personnel.
  • {{prior_knowledge}} — known resistance sources or baseline data.

Instructions —

  1. Ask for any missing inputs, then confirm crop, pest, and environment.
  2. Outline preparation: select plant material, set susceptible and resistant controls, plan pest rearing or infestation.
  3. Describe experimental design: replications, layout, randomisation.
  4. Specify infestation: pest life stage, density, timing, method.
  5. List data collection: when and how to score damage or measure pest performance.
  6. Explain analysis: compare to controls, calculate resistance indices if useful, interpret.
  7. Provide a decision guide: what indicates resistance, tolerance, or susceptibility, and next steps.

Output format — Numbered protocol with clear phases. Short paragraphs or bullets. Include a simple table for controls and treatments. Tone: concise, instructional. Length: 400 to 600 words. Leave out statistical formulas unless requested.

Guardrails —

  • Do not invent pesticide names, gene names, or threshold values; use placeholders.
  • Flag steps needing a licensed entomologist, plant pathologist, or local regulatory approval.
  • State assumptions explicitly when inputs are missing.

Example — Crop: maize variety X; Pest: fall armyworm; Environment: greenhouse; Metrics: leaf damage rating 1-9 and larval survival; Resources: 4 weeks, 2 technicians; Prior: no known resistance.