Building a botanical foundation for perennial agriculture: Global inventory of wild, perennial herbaceous Fabaceae species
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Societal Impact Statement Agroecosystems are constantly evolving to meet the needs of a growing population in a sustainable manner. Concerns about ecological impacts of agriculture, including soil loss, have focused attention on crops that provide both agricultural products and ecological services. Perennial, herbaceous crops that live for multiple years and can be harvested mechanically produce large root systems that may reduce soil loss; however, these species are largely absent from agriculture. The diversity of wild, perennial, herbaceous legume species documented by the Perennial Agriculture Project Global Inventory (PAPGI) increases resources available to breeders of perennial, herbaceous legumes, and raises awareness about untapped wild plant diversity in future crop development. Summary Concerns about soil health and stability are focusing attention on crops that deliver both agricultural products and ecological services. Deep rooted, perennial plants that build soil organic matter, support diverse belowground microbial communities, and produce edible seeds are key components underpinning ecological intensification; however, few perennial, herbaceous crops have been domesticated for food. To facilitate development of edible, perennial, herbaceous crops, including perennial grains, we constructed an online resource of wild, perennial, herbaceous species—the Perennial Agriculture Project Global Inventory (PAPGI; http://www.tropicos.org/Project/PAPGI ). The first component of this project focuses on wild, perennial, herbaceous Fabaceae species. We extracted taxonomic names and descriptors from the International Legume Database and Information Service. Names were added to PAPGI, a special project within the botanical database TROPICOS, where they link to specimen records and ethnobotanical and toxicological data. PAPGI includes 6,644 perennial, herbaceous Fabaceae species. We built a searchable database, a framework for the ongoing incorporation of more than 60 agriculturally important traits for perennial, herbaceous legumes. Here we highlight food and forage uses for 314 legume species, and toxicological data for 278 species. The novel contribution of PAPGI is its focus on wild, perennial herbaceous species that generally have not entered the domestication process but that hold promise for development as perennial food crops. By extracting botanical information relevant for agriculture we provide a dynamic resource for breeders and plant scientists working to advance ecological intensification of agriculture, and for conservation managers working to preserve wild species of potential agricultural importance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 it