Pruebas de germinación y viabilidad de tres coníferas a través del tiempo de almacén en el Banco de Germoplasma de la Comisión Forestal del Estado de Michoacán
Bibliographic record
Abstract
The diversity of forests in Mexico is affected by rapid population growth, which has causes forest resources to be used in anaccelerated way, thus increasing deforestation rates. For this, there are governmental institutions such as the Germplasm Bank of theState Forestry Commission, which is in charge of the collection, processing, storage and analysis of seeds (forest germplasm), forlater production in the nursery. In the present study, the percentage of viability (PV) and the percentage of germination (PG) of theseed lots of three species of the genus Pinus stored in cold storage (Pinusmichoacana,P.montezumae y P.pseudostrobus) wereevaluated, considering the storage time (16 years), as a variation agent, with the aim of proposing its registration. The GeneralizedLiner Model and linear regression showed differences in the averages of both percentages when comparing them between species,being those of P.michoacana greater ( 74.34%) and lower those of P.montezumae (64.66%), by species P.michoacana (190batches) only in PG there was a difference with a positive trend when increasing the storage time, in P.montezumae (216 batches)there was also a difference when comparing the storage time, a decrease in these percentages was observed with increasing storagetime, and for P.pseudostrobus (130 batches) there was no difference, in terms of the representative lot of each species (222131-A02,323152-A03, 322147-A02= batch number), there was no difference in relation to time storage. As a conclusion, both by species andby each lot, it is not possible to propose that they are still suitable to be kept in storage, since they do not present sufficient evidenceof a possible downward trend in their percentages of viability and germination in relation to storage time.
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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 | 0.000 |
| 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) | 0.001 | 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".