Agronomy Submission Guide: MDPI Process (2026)

Agronomy is not a stronger version of a subscription agronomy journal, and it is not a weaker one. It is a different model. MDPI built it around speed and soundness-based review: the editorial question is whether the work is methodologically sound and within agronomic scope, not whether it ranks among the most novel cropping-systems findings of the year. That model shapes everything about how you should prepare the package.

Two consequences matter most. First, the journal is section-based and organized by agronomic subfield, covering areas such as soil and nutrient management, crop production and cropping systems, digital and precision technologies, plant-soil interactions, and agroecology. Scope fit is assessed against a specific section rather than a vague "is this important" bar.

Second, the pre-check is fast and partly template-driven, so a complete, in-scope, well-designed study is rewarded and an incomplete or scope-drifting one is punished early. A clever mechanistic study with no agronomic outcome can be returned before a reviewer ever sees it, while a competent replicated field study with a clear management implication moves quickly.

The unusual upside: Agronomy will seriously consider methodologically sound work that the most selective field-agronomy titles reject for limited novelty, provided the design is solid and the agronomic question is real. A well-replicated, well-reported regional cropping study that European Journal of Agronomy or Field Crops Research might bounce for insufficient generality has a genuine home here, as long as you frame the scope and the limits honestly.

The core fit for most submissions is the original research article. It works best when the agronomic question is central, the design is replicated and reproducible from the text, and the data and declarations package is complete on first upload.

Ask these questions before you submit:

• is there an actual agronomic outcome (yield, quality, resource-use efficiency, soil property, or management response), or is the crop just the system in which a biology question was answered?
• is the experiment replicated, with a statistical model that matches the design, and does it span more than a single site-season?
• are the data, ethics where relevant, and reporting statements complete and specific, or are they still stub text?
• does the discussion offer a mechanism or a transferable recommendation, or does it stop at "yield went up here"?

If the answers are uncertain, the pre-check problem is usually more important than the science problem.

The pre-check editor is answering a short list of questions fast.

On scope, the editor asks whether the manuscript belongs in an agronomy journal and in which section. If the agronomic relevance is thin or bolted on, the paper is redirected to a sibling title or returned. On soundness, the question is whether the design is appropriately replicated, the statistics match the layout, and the field or pot conditions are reported in enough detail to reproduce. Agronomy does not require the finding to be field-defining, but it does require the work to be done correctly and reported in full.

On integrity, the editor checks whether ethics approvals where relevant, data availability, and image-integrity expectations are all in order. MDPI runs integrity and plagiarism checks at pre-check, and gaps here trigger fast returns. On completeness, the editor looks for the declarations block. A manuscript missing Author Contributions, Funding, Data Availability, or Conflicts of Interest reads as not ready, even when the science is fine.

Manuscript structure: Agronomy expects a defined section set: Abstract, Keywords, Introduction, Materials and Methods, Results, Discussion, Conclusions, plus the declarations block. There is no fixed page or word limit, but the abstract runs to about 200 words and is the first thing the pre-check editor reads, so the agronomic question, the design, and the main result all need to be visible there. Provide 3 to 10 keywords.

Reporting and methods readiness: Provide full experimental detail so the trial can be reproduced: site description, soil type, climate or growing conditions, plot or pot layout, replication, treatments, the exact statistical model, and the software used. A field or pot study whose Materials and Methods omits the experimental design, the number of replicates, or the analysis model is the most common reviewer-stage friction point in agronomy. Where a systematic review or meta-analysis is the article type, supply a PRISMA flow diagram and a registered or stated protocol.

Declarations and ethics: Draft the Author Contributions (by initials), Funding, Data Availability, and Conflicts of Interest statements before you upload. Add an Institutional Review Board or ethics statement where human participants, animals, or regulated plant or genetic material are involved. These are not post-acceptance paperwork at MDPI; they are pre-check gates.

Figures, supplementary, and abstract assets: A graphical abstract is optional but commonly used; if supplied, it should be a high-resolution PNG, JPEG, or TIFF at a minimum of 560 by 1100 pixels. Figures should be supplied at a minimum of 1000 dpi for line art, and the SuSy portal accepts individual upload files up to roughly 50 MB, so split large datasets into separate supplementary files.

There is no fixed cap on the number of figures, but a research article with more than 8 figures usually signals that the agronomic story is not yet focused. ORCID is expected for the submitting author, and the system will ask for suggested reviewers.

In our pre-submission review work with Agronomy manuscripts, three named rejection patterns generate the most consistent pre-check returns and reviewer friction, and each is testable against your own manuscript before you upload. These are not abstract risks; they are the specific failure patterns we see surface again and again when crop-science work meets a fast, soundness-based MDPI screen.

Across our agronomy pre-submission reviews, the editorial triage pattern that surprises authors most is that the Agronomy pre-check is not a novelty filter in the Nature sense; it is a fit-and-rigor filter. The manuscripts that get returned fastest are rarely bad science.

They are competent studies whose agronomic framing, design rigor, or data and reporting compliance is not ready for a fast, template-driven screen, and we observe that editors here routinely reject those packages before a reviewer is even invited. Manuscripts coming through pre-submission review for Agronomy split cleanly along these three lines, and the section below describes what actually happens to each at the desk.

Single-site single-season trials framed as general recommendations

The most common rigor failure we see is a one-location, one-season field or pot trial whose abstract and conclusions read like a regional or general recommendation. The data may be clean and the analysis correct, but the conclusions outrun what one site-year can support: a single field, a single soil type, and a single climate cannot ground a claim that a practice "increases yield" or "should be adopted" broadly.

Reviewers in agronomy are trained to flag exactly this gap between the scope of the evidence and the scope of the claim. The testable version of this failure: read your own conclusions and ask whether each recommendation is bounded to the site, season, soil, and crop you actually tested. If your discussion generalizes a single-environment result, either temper the claims to match the design, or add the multi-environment or multi-year data the recommendation needs.

A replicated single-site study is publishable here; a single-site study sold as a universal rule is not.

Check whether your Agronomy claims match the scope of your trial design →

Scope drift into pure plant biology or pure soil chemistry

The second pattern is a manuscript whose real subject is plant molecular biology, plant physiology, or soil chemistry, with a crop name and a yield measurement added so the work can target an agronomy journal. Agronomy is section-based, and the pre-check editor has to place the manuscript in an agronomic subfield: soil and nutrient management, crop production, plant-soil interactions, precision technologies.

When the actual contribution is a gene-expression result or a soil-mineralogy finding with no management or treatment effect on an agronomic outcome, the section assignment fails and the paper is redirected to a sibling title such as Plants or Agriculture, or returned.

The testable version: read your own abstract and introduction, and ask whether a section editor could name the agronomic outcome (yield, quality, resource-use efficiency, soil function under management, a management response) from the first paragraph alone.

If the agronomic angle only appears as a downstream application, or only in the discussion, the framing is too thin for the pre-check, and the fix is to rebuild the introduction and abstract around the management question rather than around the mechanism.

Check whether your Agronomy scope angle reads as agronomy from the abstract →

Descriptive agronomy with no mechanism, no model, or no transferable insight

The third pattern shows up at the reviewer stage rather than pre-check, and it is a study that reports what happened without explaining why or supplying enough method to trust it.

Common versions: a trial that reports treatment means with no statistical model named and no replication stated, a survey of yields across cultivars with no environmental or management explanation for the differences, or a results section that lists numbers while the discussion never connects them to a mechanism or a management recommendation that travels.

In agronomy, where the value of a paper hangs on whether another grower or researcher can apply the finding, this is the highest-leverage fix before submission. The testable version: walk your Materials and Methods and confirm the experimental design, replication, and statistical model are all stated explicitly, then walk your discussion and confirm each main result is tied to either a mechanism or a transferable management insight.

If your discussion restates the results without explaining them, the paper is descriptive, and reviewers will ask for the mechanism the manuscript should already supply.

Check whether your Agronomy methods and discussion carry a transferable insight →

Each of these is something you can check against your own draft before you commit the submission. This guide tells you what Agronomy editors look for; the review tells you whether YOUR paper passes the pre-check before you upload. We have reviewed manuscripts targeting agronomy and crop-science journals, including Agronomy and its open-access and subscription peers. Paid Manusights reviews include a 60-day money-back guarantee, and we do not train models on submitted manuscripts.

Run an Agronomy submission package check to see whether your scope framing, design rigor, and data statement will clear the MDPI pre-check.

Agronomy reports a median first decision near 17 days and median acceptance-to-publication near 1.8 days. Treat these as planning ranges, not promises: field-trial manuscripts in specialized cropping subfields often run longer because reviewer search takes time when the design is unusual.

• Day 0: Submission via SuSy. The portal accepts the package and routes it to the section editor for pre-check.

• Days 1 to 3: Editorial pre-check. The editor screens agronomic-scope fit, design soundness, integrity and plagiarism checks, and data and ethics completeness.

The fastest returns happen here, before any reviewer is invited.

• Days 3 to 7: Reviewer invitation. Manuscripts that pass pre-check enter single-blind reviewer search, typically targeting two or more reviewers in the relevant agronomic subfield.

• Days 7 to 17: Peer review and first decision. Reviewer reports return and the editor issues the first decision, with a median near 17 days from submission.

Major revision is the most common outcome for papers that clear pre-check.

• Days 17 to 35: Revision and acceptance. Revisions are usually requested on a short clock; resubmission and a second review cycle commonly land acceptance inside a few weeks for in-scope, complete packages.

• Days 35 to 40: Production and publication. Acceptance to publication runs near 1.8 days at median, so the slow part of the calendar is reviewer search and revision, not production.

This guide was researched and built from primary sources: the sources we checked include the Agronomy Instructions for Authors, the journal's aims-and-scope and editorial-process pages, MDPI's research and publication ethics policy, the Clarivate JCR 2024 release, and Manusights pre-submission review patterns from agronomy and crop-science manuscripts deciding between Agronomy and peer agronomy journals. We reviewed and compared current MDPI author guidance with recent Manusights work reviews from authors weighing Agronomy, European Journal of Agronomy, Field Crops Research, Agronomy for Sustainable Development, and Agriculture. Last reviewed by the Manusights agronomy editorial team on 2026-06-07.

Source limitations: MDPI can update APC, article-format details, abstract caps, and editorial-process numbers after this review date, so verify final administrative details against the official Agronomy author pages before upload. The 2024 JCR citation metric reported by Clarivate and MDPI is 3.4; secondary aggregators list other figures, so confirm the current number on the journal's own page. Median timelines are reported by the journal and vary by subfield.

Use this guide for the decision the official instructions cannot answer: whether your scope framing, design rigor, and data statement are ready for the MDPI pre-check.

• Agronomy journal hub: metrics, scope, and editorial process
• Best agriculture journals
• Agriculture MDPI submission guide
• Plants MDPI submission guide
• Rejected from Field Crops Research, where next?
• European Journal of Agronomy journal metrics

Before you upload, run your manuscript through an Agronomy submission readiness check to catch the scope, design, and data-statement gaps the MDPI pre-check filters for. The check is free to run (/ai-review) and takes a single upload.