Global Changes in Cultivated Area and Breeding Activities of Durum Wheat from 1800 to Date: A Historical Review
Bibliographic record
Abstract
Durum wheat is grown globally on 13.5 million ha in 2020/2021, which amounts to 6.2% of the wheat area. It is assumed that in the past it was more important, but the extent of that importance is unknown. In this work, a historical estimation of the durum wheat area globally was carried out, based on data of the main cultivating countries. Many of the data from the earliest period were based on percentage to all wheat. During the nineteenth century, the percentage of durum wheat to all wheat globally was around 14–16%. However, throughout the 19th and beginning of the 20th century, in America (USA, Canada, Argentina), Asia (Russia, China, India), and Australia, new land was sown with bread wheat, and therefore the percentage of durum wheat fell steadily to 7–9% from 1950 to 2005, and to 6–7% since then. For many years, Russia was the country with more durum wheat cultivation, with around six million ha in the period 1910–1940. Turkey, Italy, Algeria, and India were also big historical players regarding cultivation of this crop. Currently, Canada, Algeria, Italy, and Turkey have the largest durum wheat acreage. The main breeding activities and the future of durum wheat are discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".