The Worldwide Potential for Quinoa (<i>Chenopodium quinoa</i>Willd.)
Bibliographic record
Abstract
Quinoa is a highly nutritious food product, being cultivated for several thousands years in South America, with an outstanding protein quality and a high content of a range of vitamins and minerals. Other positive aspects of quinoa are the saponins found in the seed hull and the lack of gluten. Quinoa is one of the main food crops in the Andean mountains, but during recent times there has been increased interest for the product in the United States, Europe, and Asia. Quinoa has been selected by FAO as one of the crops destined to offer food security in the next century. The genetic variability of quinoa is huge, with cultivars of quinoa being adapted to growth from sea level to 4000 meters above sea level (masl), from 40°S to 2°N latitude, and from cold, highland climate to subtropical conditions. This makes it possible to select, adapt, and breed cultivars for a wide range of environmental conditions. A major constraint for growth in northern parts of Europe, Canada, and in high altitude regions is the short growth season, because quinoa requires a maximal developmental time of 150 days in order to secure seed harvest. Hence, early maturity is one of the most important characteristics if quinoa is grown under these conditions. In southern Europe, the United States in certain parts of Africa and Asia there is good potential for increased production of quinoa. Quinoa has a significant, worldwide potential as a new cultivated crop species and as an imported commodity from South America. The main uses of quinoa are for cooking, baking, etc.; various products for people allergic to gluten; animal feed, green fodder, and pellets; modified food products such as breakfast cereals, pasta, and cookies; industrial use of starch, protein, and saponin; and as a game-cover crop. In developing countries of Africa and Asia, quinoa may be a crop able to provide highly nutritious food under dry conditions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".