Submission Preflight (fcr-submission)

SkillDev tools

Use when running the final pre-submission preflight for Field Crops Research (FCR) via Editorial Manager, article-type selection, abstract (<=400 words) and highlights (3-5 bullets of <=85 characters), complete agronomic reporting, data-availability statement, generative-AI declaration, Elsevier formatting, and the cover letter. Final checks; it does not draft content.

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 Submission Preflight (fcr-submission) 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-submission/SKILL.md and read by ahel’s review.

The last check before pressing submit on Editorial Manager at submit.elsevier.com/FIELD. FCR's most common avoidable failures are scope mismatch and incomplete reporting / declarations. Check upload-week specifics on the official Elsevier guide before relying on editor names, prices, file prompts, or article-type menus (see ../../resources/official-source-map.md).

When to trigger

  • "Submitting tomorrow" — last pass before upload
  • Unsure which files/metadata Editorial Manager expects
  • Confirming scope fit, format, and declarations are complete

Process facts

  • Publisher: Elsevier (ISSN 0378-4290).
  • Portal: Editorial Manager at submit.elsevier.com/FIELD.
  • Review model: single anonymized — typically ≥ 2 reviewers.
  • Article types: Original Research Paper · Short Communication · Review (usually invited) · Opinion Paper · Loomis Review (invited).
  • Abstract: ≤ 400 words.
  • Highlights: 3–5 bullets, each ≤ 85 characters including spaces.
  • Multi-environment rule: field experiments should span ≥ 2 seasons and/or multiple environments (unless exceptional circumstances are justified).
  • Data availability: must be stated at submission.
  • Generative AI: declare any use in manuscript preparation.

Preflight checklist

Scope & type

  • Field-based, multi-season/-environment, a field crop, generally significant (see fcr-topic-selection)
  • Article type chosen; Review/Opinion proposal cleared with editors if required

Manuscript & format

  • Abstract ≤ 400 words; states purpose, environments, quantitative result, conclusion
  • 3–5 highlights, each ≤ 85 characters, findings not topics
  • Structure: focused intro → complete methods → concise results → interpretive discussion
  • SI units; consistent Elsevier/FCR reference style; grammatically sound English
  • Figures/tables self-contained with units and SED/LSD/CI (see fcr-figures-and-tables)

Reporting completeness

  • Crop/cultivar, sites/seasons, soil, weather vs. phenology, management, design, statistics
  • Yield data included/linked to biophysical process where relevant

Declarations & files

  • Data-availability statement drafted (shared + repository/ID, or restricted + reason)
  • Generative-AI use declared; CRediT roles, funding, competing interests
  • Cover letter establishing scope fit + contribution (see fcr-cover-letter)
  • Co-submission to Data in Brief / MethodsX considered if relevant

Highlights bench-test (illustrative)

Highlights are findings, not topics, and the ≤85-character limit counts spaces. Bench-test each bullet.

Draft highlightCharsVerdict
"Effects of nitrogen on wheat yield and quality"47reject — a topic, not a finding
"New cultivar raised yield 0.9 t/ha in high-N environments only"62keep — quantified
"G×E explained 38% of yield variance across 8 site-years"56keep — names the result

Worked preflight vignette (illustrative)

Illustrative dry-run. A maize MET manuscript reaches the final pass: 2 seasons × 4 sites, abstract at 410 words, 6 highlights, a plot-level dataset, but no weather-vs-phenology figure. The preflight catches four blockers: trim the abstract under the 400-word cap; cut highlights to 5 and rewrite topic-style bullets as findings; add the weather-vs-phenology panel so the G×E is interpretable; and draft the data-availability statement to the Mendeley Data DOI. Scope and statistics pass, so once fixed the package is ready for Editorial Manager.

Anti-patterns

  • Submitting controlled-environment-only or single-site/single-season work
  • Abstract over length; highlights that are topics or exceed 85 characters
  • Methods missing soil/weather-vs-phenology/management (not reproducible)
  • Blank data-availability statement; missing generative-AI declaration
  • A discussion that repeats results; means with no error term

Operating pass for Field Crops Research

Treat this skill as an executable review pass, not a prose hint. First lock the crop system, environment structure, GxE logic, and yield or physiology endpoint; then judge whether the current manuscript answers the venue's real reader: agronomy reviewers who expect field-based, multi-environment evidence and crop-level general significance.

  • Do the pass: Return a claim-evidence-risk ledger rather than a prose-only diagnosis; every recommendation must point to a manuscript location or missing artifact.
  • Return a ledger: give claim / evidence / risk / manuscript location rows, so the next agent can edit rather than rediscover the issue.
  • Sibling guard: compare against Agricultural Systems for whole-system modeling, European Journal of Agronomy for agronomic breadth, Crop Science for cultivar or breeding emphasis; if a sibling owns the contribution, recommend re-routing before polishing format.
  • Submission-ready gate: do not give final advice until the pack's resources/official-source-map.md has been checked for upload-week rules and the manuscript has one concrete fix for the largest venue-specific risk.

Output format

【Scope & type】field-based + ≥2 seasons/envs + field crop + general; type chosen? [Y/N]
【Abstract & highlights】≤400 words; 3-5 bullets ≤85 chars? [Y/N]
【Reporting complete】cultivar/site/soil/weather-vs-phenology/management/design/stats? [Y/N]
【Declarations】data availability + generative-AI + CRediT/funding? [Y/N]
【Cover letter】scope fit + contribution stated? [Y/N]
【Next】await decision → fcr-revision-and-rebuttal on a revise verdict

Supplementary resources

Signals

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Item type
skill
Key
fcr-submission
Source
github.com/brycewang-stanford/awesome-journal-skills