Physiological Quality of Rice and Soybean Seeds Produced Under Hydric Stress in Greenhouse
Bibliographic record
Abstract
The hydric resources are primordial for plants growth and development, under conditions where the growing environment express hydric shortage. These conditions can directly or indirectly affect development, the formation of new organs, yield and quality seeds. The study aimed to evaluate the physiological quality of rice and soybean seeds, produced under hydric restriction. Experiment 1: for rice, the scheme was completely randomized with four repetitions, the treats of hydric restrictions were applied in the periods of 0, 24, 48, 72 hours at the phenological stage of filling seeds. Experiment 2: for soybean, the scheme was completely randomized, conducted in factorial scheme, four replicates with four hydric restriction periods of 0, 24, 48 and 72 hours, at the phenological stage of filling seeds. It was verified that as the hydric restriction hours increase, at the rice seeds filling, the physiologic quality is affected, the higher effect occurred at 72 hours of restriction. While at the soybean seeds production it was not verified such effects, only the thousand seeds mass was negatively affected. The physiological quality of rice seeds were more affected, when compared to soybean seeds submitted to the same treats of hydric stress.
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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 | 0.001 |
| 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".