Spread and Adaptation of <i>Triticeae</i> Crops: From Ancient Origins to Global Distribution
Bibliographic record
Abstract
Triticeae crops, such as wheat, barley, and rye,are globally important food crops critical for human and animal nutrition and ecosystem sustainability. Understanding the origins, domestication, and global dissemination mechanisms of these crops is essential for improving their production efficiency and adaptability. This study reviews the early evolution of Triticeae crops and their wild relatives, the genetic changes during domestication, and the impact of early agricultural practices, trade, and migration routes on their spread. It explores the adaptation mechanisms of Triticeae crops to climate, soil, and pests, and summarizes the application of modern breeding technologies in enhancing yield and disease resistance. The research indicates that Triticeae crops underwent significant genetic changes during domestication, which have been elucidated through modern genetic techniques. Early agricultural practices and ancient civilizations played a crucial role in the dissemination of these crops. Modern genetic improvement technologies, such as genome editing and marker-assisted selection, have significantly enhanced crop yield and disease resistance. By comprehensively reviewing the domestication and dissemination history of Triticeae crops, this study provides valuable genetic resources and strategies for modern breeding programs. Understanding the adaptation mechanisms of these crops in different environments will aid in developing more resilient and high-yielding varieties to meet the growing global food demand.
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".