A Road Map for Conservation, Use, and Public Engagement around North America's Crop Wild Relatives and Wild Utilized Plants
Bibliographic record
Abstract
ABSTRACT Crop wild relatives—the plant species closely related to agricultural crops—are valuable genetic resources used by plant breeders to increase pest and disease resistance, stress tolerance, nutritional profile, and other traits critical to productivity, quality, and sustainability. Wild utilized plants provide food and a variety of other ecosystem and cultural services to people. North America harbors a rich native flora that includes wild relatives of important food, fiber, industrial, feed and forage, medicinal, and ornamental crops, as well as a diversity of regionally significant wild utilized plants. Many of these species are threatened in their natural habitats, and most are underrepresented in plant genebanks and botanical gardens. These conservation gaps limit the portfolio of useful plant diversity available to present and future generations. Likewise, the myriad potential uses of North American crop wild relatives and wild utilized plants are underexplored, and public awareness of their value and threats is limited. Greater coordination of efforts among plant conservation, land management, agricultural science, and botanical education and outreach organizations will be necessary to secure, enhance use, and raise awareness with regard to these species. A road map for collaborative action is presented here, focused on five priorities: (i) to understand and document North America's crop wild relatives and wild utilized plants, (ii) to protect threatened species in their natural habitats, (iii) to collect and conserve ex situ the diversity of prioritized species, (iv) to make this diversity accessible and attractive for plant breeding, research, and education, and (v) to raise public awareness of their value and the threats to their persistence.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.059 | 0.008 |
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".