A Preliminary Evaluation of Symbiotic N Fixation in Mungbean
Bibliographic record
Abstract
We are interested in developing mungbean [(Vigna radiata (L.) R. Wilczek] as a short duration summer crop to be produced in rotation with winter wheat due to its’ increasing popularity and potential for Symbiotic N Fixation (SNF). However, scarcity of mungbean SNF information is limiting to support its use as an N-fixing crop. We conducted a greenhouse study with ten mungbean genotypes and twelve Bradyrhizobium strains. The objective was to study nodule traits (number and size) and chlorophyll concentration in leaves using Minolta SPAD meter using a CRD design with six replications. Eight to ten seeds of each of the 120 combinations were planted in vermiculite and inoculated with the bacterial strains. Upon germination, plants were thinned to six plants per pot. The data were recorded on approximately 40-day old plants. Results indicated that variation for nodule traits was not significant. However, significant effects of bradyrhizobial strains and mungbean genotypes on SPAD readings were observed. Results indicated existence of specificity between mungbean genotypes and bradyrhizobial strains, as indicated by significant interaction for SPAD values. We identified three bradyrhizobial strains (Strain-11 isolated from partridge pea, Strain-12 isolated from Baptisia sp., and Strain-3-CB 756, wide range type strain from Australia) to be highly efficient. Three mungbean genotypes (MB-80, TexSprout, and MB-84) were identified to be best for SNF. The results provide basic information to support future detailed SNF research in mungbean.
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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) | 0.000 | 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".