Combination of Azospirillum and Bradyrhizobium on Inoculant Formulation Improve Nitrogen Biological Fixation in Soybean
Bibliographic record
Abstract
Co-inoculation in soybean with Azospirillum brasilense and Bradyrhizobium spp. is a consolidated practice to ensure nitrogen supply and maximize productivity and sustainability. This study aimed to evaluate the agronomic efficiency of the co-inoculation in soybean, via seed or in-furrow, of doses of the mixed inoculant containing Bradyrhizobium spp. and A. brasilense in the same formulation. The experiments were conducted under field conditions in four different edaphoclimatic regions to compare seven treatments: Control without nitrogen (N) and inoculant (T1), 200 kg ha-1 of mineral N fertilizer (T2), 100 mL of standard liquid inoculant of Bradyrhizobium spp. (T3) in 50 kg-1 seeds, 100 mL (T4) or 200 mL (T5) of the mixed liquid inoculant in 50 kg-1 seeds, 200 mL (T6) or 300 mL (T7) ha-1 of the mixed inoculant applied in-furrow. Nodulation characteristics (number and mass of nodules) and carbon and N metabolism (dry mass, N content, and N accumulation in the aerial part) were evaluated at the phenological stage R2 (full flowering—there is an open flower at one of the two uppermost nodes). At maturity (R8—full maturity—95% of the pods have reached their full mature color), yield, the mass of 1,000 grains, N content in the grains, and grain N export were measured. The data were submitted to analysis of variance using the F test and comparison of means was performed using the Duncan test (5%). Under field conditions, the mixed inoculant at doses of 200 mL 50 kg-1 seed or 300 mL ha-1 applied in-furrow were equivalent or superior to the standard inoculant for the total number of nodules, N content in the grains, grain N export, productivity, and mass of 1,000 grains. The use of the mixed inoculant containing Bradyrhizobium spp. and A. brasilense in the same formulation meets the demand of grain N export and resulted in increases of 28%, 18% and 7.4% in soybean productivity compared with control without nitrogen, mineral N fertilizer and standard liquid inoculant of Bradyrhizobium spp. respectively.
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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) | 0.001 | 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 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".