Role of Fluorescent Pseudomonads Siderophore to Increase Bean Growth Factors
Bibliographic record
Abstract
Since the Iranian soils are almost limy, application of Fluorescent pseudomonas have a major potential toprovide the microelements needed for crop plants due to their siderophore production ability. In this work threeindigenous high siderophore producing strains, a reference strain 7NSK2 and its pyoverdine mutant, MPFM1,were employed. To explore their efficiency, siderophore production was investigated by CAS-agar method.Effect of bacteria inoculation on the shoot and root dry weight increase as well as chlorophyll content of the cropwere assayed under greenhouse condition. Furthermore, synergistic effects of bacteria strains and iron chelates,Fe-EDDHA and Fe-EDTA, and zinc sulphate on promotion of common bean plants were estimated. StrainUTPF76 with 20.4 mm halo in CAS-agar medium had the highest siderophore production capability. The resultsof the greenhouse experiments revealed that three of strains, 7NSK2, UTPF5 and UTPF76 increased the plantgrowth factors significantly. Addition of iron chelates and zinc sulphate improved bacterial efficacy. StrainsMPFM1 and UTPF61 not only did not have positive effect on the plant growth but also in some cases decreasedthe growth factors. In colonization survey UTPF76 and UTPF5 had the greatest colonization activity. Inconclusion, our results showed that indigenous stains have a high potential in biotechnological applications andtheir industrial application is recommended.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 teacher head, 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".