Investigation of enhancement of growth in Sorghum bicolor by inoculation with plant growth-promoting microbes
Bibliographic record
Abstract
Hybrids of Sorghum bicolor (L.) Moench have potential as second-generation biofuel feedstock crops in Canada.This study's objective was to screen five plant growth-promoting microbial strains (Gluconacetobacter diazotrophicus PAL5T, G. azotocaptans DS1, Azospirillum lipoferum N7, A. brasilences N8 and Penicillium bilaii) for growth-enhancing effects on four sorghum genotypes.Two greenhouse studies and one field study were conducted.Glocanoacetobacter diaztrophicus (PAL5T)-treated CSSH 45 cultivar showed a significant increase in shoot dry weight by 19%, in N content by 27% and in P content by 37% compared to uninoculated control plants in one of the greenhouse studies.None of the microbial inoculants significantly increased growth of the sorghum in the field, although Azospirillum brasilense (N8) treated genotypes consistently had the highest mean shoot dry weight.According to the overall results of the study, PAL5T and N8 may offer the greatest potential for use as growth-promoting bacteria in sorghum production.I would like to sincerely thank my supervisor, Dr Kevin Vessey, for his support and guidance, sharing knowledge, training me during the past few years to become a better researcher
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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".