Seed Storage Conditions Shape Germination Outcomes: Differing Responses in Two Closely Related Grass Species
Bibliographic record
Abstract
Seed dormancy is a protective adaptation meant to reduce the risk of germination in unsuitable or unpredictable conditions. However, dormancy can complicate or undermine restoration efforts if care is not taken to understand how dormancy-influencing seed storage conditions can affect germination outcomes. Additionally, assuming that closely related species will respond similarly to the same storage and germination conditions may obscure important life history differences, potentially leading to ineffective or biased restoration strategies. We examined how seed storage conditions influence germination outcomes in two foundational grassland species ( Festuca hallii [Vasey] Piper and Festuca campestris Rydb.) by subjecting seeds of both species to different combinations of storage duration, temperature, and moisture, before conducting a germination assay under identical controlled conditions. We found that the two species had drastically different responses. F. campestris exhibited low overall germination (13%), which was not meaningfully influenced by any of our storage treatment combinations. F. hallii , meanwhile, had a mean germination of 69%, which increased to 94% simply by soaking the otherwise untreated seeds for 24 h before the germination assay. Our findings highlight the importance of considering seed handling and storage as critical steps in the restoration pipeline, with the potential to significantly impact germination and establishment success. They also highlight the need to consider species-specific management strategies, even among closely related taxa, and for clear communication among seed suppliers, land managers, and restoration practitioners to ensure shared understanding of seed histories and conditions before planting.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".