The effects of plant growth promoting rhizobacteria on Asparagus officinalis subjected to water stress and disease
Bibliographic record
Abstract
Asparagus plantings over many harvest seasons suffer declining yields and profit loss due to water stress, disease pressure, or combinations thereof. It was hypothesized that plant growth promoting rhizobacteria (PGPR) inoculation would improve asparagus growth and reduce the negative effects of water stress and disease caused by 'Fusarium oxyxporum' f.sp. 'asparagi ' ('Foa'). Both field and greenhouse experiments were used to evaluate the effectiveness of single or repeated inoculations of two asparagus cultivars (Guelph Millennium (GM) and Jersey Giant (JG)) with two PGPR strains ('Pseudomonas putida' UW3 and 'P. putida ' UW4) on improving growth of water- or 'Foa'-disease-stressed asparagus crowns and seeds. In the field, PGPR inoculation had no significant effect on plant growth. In the greenhouse, PGPR inoculation did increase growth, most prominently in the Guelph Millennium (GM) cultivar with multiple inoculations of 'P. putida' UW3. Single UW3 inoculations also improved GM's resistance to 'Foa' under optimum soil moisture and JG's resistance to 'Foa' under flooding 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 | 0.000 |
| 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".