Planting Densities and Forms of Potassium Fertilization in the Development of Edamame (Glycine max (L.) Merril) Cultivation
Bibliographic record
Abstract
The edamame is the soybean harvested in the R6 phenological period when the seed in green. That is the reason of its name, Green Soybean. To evaluate the influence of different planting densities and two types of potassium fertilizer on the agronomic components of the edamame cultivar BR 9452273, an experiment was conducted in the municipality of Boa Vista-RR between early 2015 and March 2016. The experimental design was a complete randomized block design in a 4 × 2 factorial scheme with four plant densities (140, 160, 200 and 240 thousand plants ha-1) and two forms of potassium fertilization in the last split-application (potassium chloride-KCl (control) and a Leaf fertilizer-K-20) on the same concentration (30 kg ha-1) for both treatments, with three replicates. Plant cultivation variables were evaluated, as well aspod productivity and the reproductive and maturation periods of the plants. Based on the results obtained, the BR-9452273 edamame lineage showed early growth and maturation under local edaphoclimatic conditions, with reproductive and maturation periods of 24 and 73 days after planting, respectively. Plant height and the insertion of the first pod, the diameter of the stem, and pod number in a sample of 500 g were affected by the joint action of the evaluated factors. Green pod yield and total biomass were favored by both higher and lower density, which alongside the application of KCl, were the most effective treatments for production of edamame in the Cerrado of Roraima.
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 | 0.001 | 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".