Comparación de la biomasa de dos cultivares de papa (Solanum tuberosum L.) de distintos orígenes, plantados en Chirgua, estado Carabobo, Venezuela
Bibliographic record
Abstract
The biomass crops such as the potato ( Solanum tuberosum check for this species in other resources L.), is the sign of the potential of photosynthesis and accumulation of assimilates in plants. In the present study evaluated the effect on the development of the biomass of two potato varieties, from Argentina and Canada and which are used in commercial crops, in Chirgua, Carabobo state. The design of the experiment was blocks at random with 2 x 2 factorial arrangement, the cultivars "Kennebec" and "Atlantic" and the two origins. Weekly, assessed the formation of aerial biomass and tubers, relationship it with the time of growth. The rate of growth of the crop (RGC) and harvest index (HI) were estimated. The plants were harvested and sectioned in its different bodies, for their biomass. Analysis of variance and mean comparisons, using Tukey's test were carried out. The distribution of biomass and the number of organs during development of the crop were obtained. Biomass and number of organs showed different behaviors that depended on the origin, the cultivar and its relationship. The CRG was to increase and with variations. HI did not present differences, due to the low leaf area. Total biomass ranged between 114 and 1322 g m-2, is also associated with the quality of the "seed", origin and different ages, influencing the growth of plants.
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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".