Borate Application at Different Phenological Stages in Sunflower Cultivation
Bibliographic record
Abstract
Boron (B) is important for the nutrition and development of sunflower crops because of the damage that its deficiency can cause in plants, compromising the final crop productivity. This work aimed to evaluate the application of B doses at different phenological stages of the sunflower crop. The project was conducted in the experimental area of the Goiás State University, Campus of Ipameri, located in Ipameri-GO, in a randomized block design, arranged in a 2 x 5 x 6 factorial scheme, with four replications. The factors consisted of crop seasons (2017 and 2018), application at different phenological stages (V0, V6, V18, R1, and R3), and B doses (0, 1, 2, 3, 4, and 5 kg ha-1), respectively. In each crop season, leaf boron content, relative chlorophyll index, plant height, stem diameter, capitulum diameter, capitulum mass, number of achenes per capitulum, 1000-achene weight, and achene yield were assessed. The use of doses between 3.38 and 3.74 Kg ha-1 of B influenced the characteristics of leaf boron content, plant height, and 1000-achene weight. Most of the parameters assessed, including crop yield, were influenced by crop seasons due to rainfall distribution during the crop cycle. The 2017 off-season had the best results.
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 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 | 0.000 | 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) | 0.000 | 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".