Delayed inoculation of alfalfa with Sinorhizobium meliloti and Penicillium bilaiae
Bibliographic record
Abstract
Knight, J. D. 2015. Delayed inoculation of alfalfa with Sinorhizobium meliloti and Penicillium bilaiae. Can. J. Plant Sci. 95: 205-211. The persistence of perennial forage legume crops relies on the establishment of an effective symbiotic relationship with the appropriate Rhizobium species and strain. Situations can arise where a forage legume crop fails to symbiotically fix N2. This study investigates if inoculation of alfalfa with a commercial Sinorhizobium meliloti inoculant 1 yr after seeding can induce biological N2 fixation at levels similar to those achieved when the inoculant is applied at seeding. Alfalfa (Medicago meliloti cv. Algonkwin) was grown at two sites in Saskatchewan and inoculated with S. meliloti or S. meliloti plus the P-solubilizing fungus Penicillium bilaiae. The inoculants were applied at seeding or applied 1 yr after seeding. Biological N2 fixation was measured in the fall of the delayed inoculation year as percentage of N derived from atmosphere (%Ndfa) using the 15N isotope dilution technique. Inoculation with S. meliloti increased %Ndfa at both sites relative to uninoculated and fertilized controls but had no effect on total N content or yield. Inoculating alfalfa the year after seeding increased %Ndfa relative to the controls at both sites, and at one of the sites %Ndfa in the delayed treatments was at the same levels measured in the year of seeding treatments.
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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) | 0.001 | 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".