Co-inoculation of Bradyrhizobium japonicum and Azospirillum brasilense in the Soybean Crop
Bibliographic record
Abstract
The objective of this paper was to evaluate the effect of the co-inoculation of Bradyrhizobium japonicum (B. japonicum) and Azospirillum brasilense (A. brasilense) on the agronomic characteristics of the soybean crop in the central region of State of Rio Grande do Sul (RS). The experiment was conducted during three harvests (2016/2017, 2017/2018, 2018/2019), in the central region of the State of RS. The treatments were: T1-inoculation with 1 dose B. japonicum; T2-co-inoculation with 1 dose of B. japonicum + 1 dose of A. brasilense; T3-co-inoculation with 2 doses of B. japonicum + 1 dose of A. brasilense; T4-co-inoculation with 2 doses of B. japonicum + 2 doses of A. brasilense; T5-co-inoculation with 1 dose of B. japonicum + 2 doses of A. brasilense; T6-without inoculation (control). The determinations were: shoot and root system dry mass, number and dry mass of nodules, and grain yield. It was observed that the use of co-inoculation with 1 dose of B. japonicum + 2 doses of A. brasilense provided a higher dry mass of nodules and grain yield of the soybean crop.
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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 | 0.000 |
| 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".