Ecological and Agricultural Significance of <i>Triticeae</i>: From Forage to Food Security
Bibliographic record
Abstract
The Triticeae tribe, encompassing a diverse group of grasses including wheat, barley, and rye, plays a crucial role in global agriculture. This study aims to provide a comprehensive overview of the taxonomy, phylogeny, ecological roles, and agricultural significance of Triticeae . We explore the classification and evolutionary history of Triticeae , highlighting their adaptations to various environments and contributions to soil health and biodiversity conservation. Major Triticeae crops are discussed in terms of their agricultural uses, importance in livestock production, and role in food security. The study also delves into the genetic resources and breeding techniques that enhance Triticeae resilience to abiotic and biotic stresses, as well as the advancements in biotechnology and genetic engineering for improved traits. Challenges such as climate change, sustainable agricultural practices, and policy issues are addressed, along with regional perspectives on Triticeae cultivation. The study outline future research priorities, emphasizing the integration of ecological and agricultural approaches and the importance of collaborative global initiatives. This study underscores the vital contributions of Triticeae to agriculture and ecology and provides recommendations for future research and policy development.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".