Topic Selection & Scope Fit (fcr-topic-selection)

SkillDev tools

Use when deciding whether an agronomy or crop-science project fits Field Crops Research (FCR) and which article type to target. FCR's defining test is field-based agronomic significance with multi-season/-environment relevance, it rejects controlled-environment-only, single-site single-season, horticultural/woody-perennial, and corroborative/descriptive/local-only work. Helps frame the question; it does not collect data.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Topic Selection & Scope Fit (fcr-topic-selection) skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in Field-Crops-Research-Skills/skills/fcr-topic-selection/SKILL.md and read by ahel’s review.

FCR is a field-agronomy journal. The bar is not "a new result in my plot" — it is "a field-based insight of general relevance to field crops." Use this skill to pressure-test fit before you invest, because FCR's scope boundary is strict and a mismatch is a fast desk rejection.

When to trigger

  • Choosing among possible projects or framings for an FCR submission
  • A reviewer/colleague said the work feels "controlled-environment," "too local," or "descriptive"
  • Deciding between an Original Research Paper and a Short Communication
  • Considering a Review or Opinion piece (propose to the Editors-in-Chief first)

The FCR scope gate (must clear all four)

  1. Field-based. Conducted in the field, not exclusively under controlled conditions (greenhouse, pots, or any system that constricts root growth). A controlled-environment component is fine only when integrated with, and subordinate to, field results.
  2. Multi-season / multi-environment relevance. Field experiments should, unless exceptional circumstances apply, span at least two seasons and/or multiple locations/environments. A single-site, single-season trial usually fails the gate.
  3. A field crop. Crops grown for food, fibre, feed, or biofuel. Out of scope: horticultural (vegetable/fruit) species, woody perennials, medicinal and non-cultivated species, and natural grasslands.
  4. General significance, not local/descriptive. Must show new scientific insight, original technology, or a novel method of general application — not corroborative, purely descriptive, or of only local interest.

Frame the agronomic contribution

AngleMake it FCR-worthy by…
Yield / yield gapquantify the gap vs. potential/water-limited yield and what closes it
Crop physiologyconnect a process (RUE, WUE, partitioning, phenology) to yield formation
Agronomy / managementshow a management response that travels across environments, with G×E×M
Cropping systemsdemonstrate system-level effects (rotation, intercrop, residue) over seasons
Crop modellingcalibrate/validate against field data and use the model to generalise beyond the sites

Including yield data is encouraged — it ties the work to the biophysical processes FCR cares about.

Article-type choice

  • Original Research Paper — full field/modelling study, multi-environment, general relevance.
  • Short Communication — one complete, focused finding that will not be part of a later paper.
  • Review — critical synthesis; normally invited, but send a brief proposal/outline to the Editors-in-Chief first.
  • Opinion Paper — a reasoned perspective on an issue in field-crop science.
  • Loomis Review — major review by invitation only.

Scope-boundary calls (borderline cases ruled)

The gate is strict, so the hard calls are the borderline ones. These rulings reflect FCR's stated exclusions; confirm the current scope wording against the journal's aims & scope, which can change.

Borderline caseLikely callReason
Greenhouse mechanism + one supporting field seasonIn scope only if field results are the spinecontrolled-environment cannot be main evidence
Maize agronomy, 2 seasons, 1 siteBorderline — add sites or a modelling generalisationone location weakens multi-environment relevance
Potato tuber-quality trialLikely out — horticultural framingvegetable/horticultural species risk
Forage grass in a cropping rotationIn scope as a feed crop; natural grassland is outcultivated vs. non-cultivated grassland
Crop model validated on others' field dataIn scope if it generalises field resultsmodelling that extends field evidence is welcome

Worked scope vignette (illustrative)

Illustrative. A student has greenhouse data showing a root-architecture trait improves P uptake, plus 1 field season at 1 site (3.9 vs. 3.5 t ha⁻¹). As framed — "trait improves P uptake and yield" — it fails twice: the mechanism rests on controlled-environment pots, and the field evidence is a single site-year. The FCR-worthy reframe keeps the physiology as context and rebuilds the spine around the field: test the trait's yield and P-uptake response across 2 seasons × 4 environments on a soil-P gradient, so the claim becomes "the trait closes a P-limited yield gap across low-P environments."

Anti-patterns

  • A pot/greenhouse-only study dressed up as agronomy (out of scope)
  • "First time measured in my region" as the whole contribution (local/descriptive)
  • One season at one site with no path to multi-environment relevance
  • A horticultural, woody-perennial, or non-cultivated species (wrong journal)
  • A result with no yield or biophysical-process link

Output format

【Question】one sentence
【Scope gate】field-based? ≥2 seasons/envs? field crop? more than local? [pass/fix each]
【Agronomic contribution】yield / physiology / management / systems / modelling
【Article type】Original Research / Short Communication / Review / Opinion / Loomis Review
【Fit verdict】strong / needs reframing / off-fit (why)
【Next】fcr-literature-positioning

Supplementary resources

Signals

GitHub stars
1k
Forks
155
Last commit
Sep 2026
Advanced
Item type
skill
Key
fcr-topic-selection
Source
github.com/brycewang-stanford/awesome-journal-skills