Influence of Air Temperature in the Emission of Nodes, Ramifications and Flowers in Hybrids of Watermelon (Citrullus lanatus)
Bibliographic record
Abstract
The culture of watermelon develops mainly under conditions of high temperature, being the temperature an element that directly affects the emission of vegetative and reproductive organs. There are no reports of the accumulation of temperature required for emission of branches, nodes and flowers. Thus, this experiment aimed to evaluate the rate of emission of vegetative and reproductive organs for hybrids of watermelon in relation to air temperature, using the hybrids of Manchester and Top Gun watermelons. The experiment was conducted in Federal University of Santa Maria, campus Frederico Westphalen-RS, from September to December 2014. Evaluations were conducted at every two days and it was determined the variables: nodes emission, final number of nodes on the main stem, number of primary and secondary ramifications and number of staminate flowers and open pistillate flowers related to accumulated thermal sum for the emission of such organs, and the ratio between the number of staminate flowers to the pistillate. The hybrids of watermelon present for plastochron of 18.8 °C node day, final number of nodes of the main ramification of 43 and number of primary and secondary ramifications of eight and 20, respectively. For the emission of staminate and pistillate flowers the hybrids need an accumulation 10.5 and 46.7 °C day, respectively. The number of staminate and pistillate flowers is 52 and nine, respectively, and the ration between flowers of 6.6:1.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".