Plants (MDPI) Submission Guide: Process (2026)

Plants is not a stronger version of a subscription plant-science 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 a section's scope, not whether it ranks among the most selective findings of the year. That model shapes everything about how you should prepare the package.

Two consequences matter most. First, Plants is section-based, organized into areas like Plant Physiology and Metabolism, Plant Molecular Biology, Plant Genetics and Genomics, Plant Stress, Phytochemistry, Plant-Microbe Interactions, and Crop Physiology and Crop Production. Scope fit is assessed against a specific section, not a vague "is this interesting" bar, and the same study can belong in Plants or in a sister MDPI journal depending on framing.

Second, the pre-check is fast and partly section-routed, so a manuscript the editor cannot place is returned early. A technically clean dataset with no clear section home can be redirected before a reviewer ever sees it, while a competent, in-scope study moves quickly.

The thing authors miss most often: because the model is soundness-based rather than novelty-based, the bar that bites is not impact, it is whether the work goes past description. Plants is a high-volume open-access venue, and the single most common reason competent plant studies stall is that they catalogue a phenotype or an expression profile without a hypothesis or a mechanism the data test.

The core fit for most submissions is the original research article. It works best when the study sits clearly inside one section, the methods are reproducible from the text, and the replication, statistics, and data statement are complete on first upload.

Ask these questions before you submit:

• can you name the single Plants section your manuscript belongs in, from the abstract alone?
• does the paper test a hypothesis or mechanism, or does it stop at describing a phenotype or an expression pattern?
• do the stress, expression, or field data carry biological replicates and a stated statistical model?
• does the data availability statement name where the sequences, metabolites, or arrays actually live?

If the answers are uncertain, the section-fit and mechanistic-depth problems are usually more important than the science problem.

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

On scope, the editor asks which Plants section the manuscript belongs in. If the work is really soil agronomy, crop-management trial data, or molecular biology with a thin plant wrapper, it is redirected toward Agronomy, Horticulturae, or IJMS, or returned. On soundness, the question is whether the methods are reproducible and the analysis appropriate. Plants does not require the finding to be field-defining, but it does require the work to be done correctly, replicated where biology demands it, and reported in full.

On integrity, the editor checks plagiarism, image integrity, and whether the data availability statement points to a real location for sequence, metabolite, or array data. 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, or Conflicts of Interest reads as not ready, even when the science is fine.

The editor is also reading the abstract to decide whether the study is a hypothesis-driven contribution or a descriptive dataset, because the second kind struggles in review even when it clears pre-check.

Manuscript structure: Plants expects a defined section set: Abstract, Keywords, Introduction, Materials and Methods, Results, Discussion, Conclusions, plus the declarations block. The abstract should run to about 200 words and state the question, the approach, the main result, and what it means, with 3 to 10 keywords. The abstract is the first thing the pre-check editor reads, so the plant-science question and the section it belongs to both need to be visible there. There is no maximum length restriction on the paper itself.

Methods and replication readiness: Provide full experimental detail so the work can be reproduced. For molecular and expression work, follow the relevant reporting norms (MIQE-style reporting for quantitative PCR, named genotypes and accessions, growth conditions in full). For stress and physiology experiments, state the number of biological replicates, the statistical model, and the test used. A study whose figures show means with no replication structure or no statistics is the most common reviewer-stage friction point.

Declarations and ethics: Draft the Author Contributions (by initials), Funding, Data Availability, and Conflicts of Interest sections before you upload. Work on wild, protected, or field-collected plant material should state collection permits and identification voucher information where relevant. These are not post-acceptance paperwork at MDPI; they are pre-check gates.

Figures, supplementary, and data deposition: Supply figures at high resolution (a minimum of 1000 dpi for line art). A graphical abstract is optional; if supplied, it should be a high-resolution PNG, JPEG, or TIFF. Deposit sequence data, metabolomics, and large datasets in a recognized repository and cite the accession in the Data Availability Statement. The SuSy portal accepts individual upload files up to roughly 50 MB, so split very 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 main 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 Plants manuscripts, three failure patterns generate the most consistent pre-check returns and reviewer friction, and they are testable against your own manuscript before you upload.

Across our plant-science pre-submission reviews, the pattern that surprises authors most is that the Plants pre-check is not a quality filter in the Nature sense; it is a section-fit-and-soundness filter. The manuscripts that get returned fastest are rarely bad science. They are competent studies whose section home is ambiguous, whose contribution stops at description, or whose data lack the replication and statistics a reviewer needs to evaluate them. Manuscripts coming through pre-submission review for Plants split cleanly along these three lines.

Section-scope drift toward a sister MDPI journal

The single most common pattern we see is a manuscript that the pre-check editor cannot place in a Plants section because it belongs in Agronomy, Horticulturae, or IJMS. A yield-and-fertilizer field trial with no plant-biology mechanism reads as Agronomy. A cultivar-quality or postharvest study reads as Horticulturae. A pure molecular study where the plant is incidental to the protein or pathway reads as IJMS.

Because Plants routes submissions by section, an editor who cannot name the section returns or redirects the paper fast. The testable version of this failure: read your own abstract and ask whether a section editor could name the single Plants section it belongs to from the first paragraph.

If the answer is "Agronomy, probably" or "it could go several places," the framing has drifted, and the fix is to rebuild the introduction and abstract around the plant-biology question that anchors it to one section.

Check whether your Plants manuscript maps to one section from the abstract

Descriptive phenotyping with no mechanism or hypothesis

The second pattern is a study that describes a phenotype, an expression pattern, or a metabolite profile without testing a hypothesis or proposing a mechanism. We repeatedly see transcriptome or metabolome catalogues under stress with no functional follow-up, germplasm-screening tables with no model of what drives the variation, and "we treated the plant and measured these genes" papers where the result is a list rather than a claim.

Plants is soundness-based, but reviewers still ask what the study tested and what it explains. The testable version: state, in one sentence, the hypothesis your results support or refute. If you can only describe what you measured rather than what you concluded, the contribution is descriptive, and the fix is to add the functional, mechanistic, or comparative analysis that turns the dataset into an argument before submission.

Check whether your Plants study tests a hypothesis or only describes one

Stress and expression data with no replication or statistics

The third pattern shows up at the reviewer stage and it is data presented without the replication structure or statistics a reviewer can evaluate. A drought or salinity experiment with no stated number of biological replicates, qPCR results with no reference-gene justification or no statistics, figures that show a single mean per condition with no error and no test: each one forces reviewers to spend their attention on missing rigor rather than on the biology.

In plant stress and physiology, where effect sizes are often modest and variable, this is the highest-leverage fix before submission. The testable version: for every figure and table, confirm it states the number of biological replicates, the statistical test, and the result of that test. If your Methods do not name the model and your figures do not carry error bars and significance, the reporting is not ready.

Check whether your Plants stress data carry replication and statistics

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

Run a Plants submission package check to see whether your section framing, mechanistic depth, and replication will clear the MDPI pre-check.

Plants reports a median first decision near 16.5 days and median acceptance-to-publication near 2.6 days. Treat these as planning ranges, not promises: genomics and multi-season field studies often run longer because reviewer search takes time in specialized subfields.

• 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 section-scope fit, ethics and data-availability completeness, integrity and plagiarism checks, and basic soundness.

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 plant-science subfield.

• Days 7 to 16: Peer review and first decision. Reviewer reports return and the editor issues the first decision, with a median near 16.5 days from submission.

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

• Days 16 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 2.6 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 Plants Instructions for Authors, the journal's aims-and-scope, sections, and journal-statistics pages, MDPI's research and publication ethics policy, and Manusights pre-submission review patterns from plant-science manuscripts deciding between Plants and peer open-access and society plant journals. We reviewed and compared current MDPI author guidance with recent Manusights work reviews from authors weighing Plants, Frontiers in Plant Science, BMC Plant Biology, and Journal of Experimental Botany. Last reviewed by the Manusights plant-science editorial team on 2026-06-07.

Source limitations: MDPI can update the APC, article-format details, abstract caps, and editorial-process numbers after this review date, so verify final administrative details against the official Plants author pages before upload. Median timelines are reported by the journal and vary by subfield. Use this guide for the decision the official instructions cannot answer: whether your section framing, mechanistic depth, and replication are ready for the MDPI pre-check.

• Best plant science journals
• Frontiers in Plant Science submission guide
• Frontiers in Plant Science journal metrics
• Frontiers in Plant Science review time
• Plants journal home

Before you upload, run your manuscript through a Plants submission readiness check to catch the section-fit, mechanistic-depth, and replication gaps the MDPI pre-check filters for. The check is free to run (/ai-review) and takes a single upload.