Physiologic Quality and Biochemical Characters of Barley Seeds Produced Under Nitrogen Doses and Growing Environments
Bibliographic record
Abstract
Barley (Hordeum vulgare L.) is considered one of the most important cereals, such as maize, rice and wheat, due to its multiplicity of usage, as much for human consumption as for feed. The Nitrogen is one of the main nutrients that influences the quality and productivity of barley seeds because it participates in numerous metabolic routes. It is a limiting factor of the production, the lack or the excess can bring consequence to the culture. In this manner, the present study aims to evaluate the influence of different nitrogen doses on the physiologic quality and biochemical characters of brewing barley seeds produced in two growing environments. The experiment was conducted in the 2017 crop season, in a randomized block design, organized in a factorial scheme, being 2 cultivation environment × 2 brewing barley cultivars × 4 nitrogen doses, disposed in four replicates. The physiological quality of the seeds was evaluated by germination, first counting of germination, accelerated aging, field emergence, shoot and root length, dry mass of shoot and root of seedlings, electrical conductivity (3, 6 and 24 hours) and isoenzymes. The growing environment promotes differences in the barley seeds physiologic quality. The nitrogen fertilizing, at dose of 120 kg ha-1, results in superiority in the physiologic quality of seeds. The cultivar BRS Cauê in both environments presented higher vigor. The nitrogen fertilizing alters the isoenzymatic expression of barley seedlings, creating variation in the bands intensity, at different nitrogen doses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".