<i>Bradyrhizobium japonicum</i> Preincubated with Methyl Jasmonate Increases Soybean Nodulation and Nitrogen Fixation
Bibliographic record
Abstract
Jasmonates (jasmonic acid and methyl jasmonate) are naturally occurring plant hormones biosynthesized in response to wounding and biotic and abiotic stresses. Besides their role in planta, they can act as signaling molecules in soybean (Glycine max)–Bradyrhizobium symbioses by inducing the transcription of nodulation genes. Previous studies have shown that inoculation of soybean with Bradyrhizobium japonicum preinduced with genistein (Ge) or methyl jasmonate (MeJA) promoted soybean nodulation and N fixation under controlled environment conditions. We conducted two separate field experiments in the year 2002 to study the effect of preinducing B. japonicum strains with methyl jasmonate (MeJA), alone or in combination with Ge, on nodulation and N fixation under field conditions. Two B. japonicum strains (532C and USDA3) and four inducer treatments (control, MeJA, Ge, and MeJA plus Ge) were formulated. Genistein and MeJA increased nodule number, nodule dry weight per plant, and seasonal N fixation, as compared with the control treatment, inoculated with uninduced B. japonicum. These results demonstrate that methyl jasmonate alone or in combination with Ge can be used to promote soybean nodulation and N fixation under short‐season field conditions.
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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 | 0.001 |
| 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".