Conservation of the genetic diversity of local corn (Zea mays L.) in the Yucatan Peninsula, Mexico
Bibliographic record
Abstract
The production of native corn at regional level is greatly limited by the seasonality of rainfall, availability of adequate lands, poor fertility status of the soil, high input costs and constraints of resources of the local corn growers and/or producers. The challenges of reduced cultivable area give very little opportunity for increasing production area in a sustainable manner; it is important to note that the soil recover their fertility status through crop rotation and prolonged rest period (> 25 years) known as sequential agroforestry system or "milpa". During 2015, corn collections were performed in the Yucatan Peninsula, Mexico that included five races from the Yucatan (in localities of Nohacal and Peto) and Campeche (Calakmul, Suc-Tuc, Sakabchen, I Chek) states. The races identified were: 1) Nal-Tel (gallito), 2) Dzit Bacal, 3) Xnu’uc Naal (Tuxpeño), 4) Palomero and, 5) Tabloncillo. The local varieties, Pix Cristo (Knees of Christ), Eh Hu (Purple maize) and Chac Chu’ub (Chac´s Blood or Red maize), are included within the Tuxpeño (Xnu´uk Naal) race. The land race of corn that is in imminent danger of extinction is Nal-Tel, characterized by its precocity and ability to escape periods of low rainfall; is important to rescue it for adoption to the practices of local and regional production. The adaptation of this race as a germplasm is important due to its resilience to climate change itself. Palomero, Tabloncillo, Pix Cristo, Chac Chu´ub and Eh Hu can thus be used in traditional food industry, to preserve the traditional knowledge and to provide opportunities for additional income for the local, rural communities. Yellow Palomero and Tabloncillo races are new records of germplasm for the region; and hence essential is exchanging their seeds among local producers and growers.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 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".