ISOLATION AND SCREENING OF BACTERIA FROM Zea mays PLANT GROWTH PROMOTERS
Bibliographic record
Abstract
Plant growth promoting rhizobacteria is a beneficial microbe colonizing plant roots, which enhances crop productivity and offers an attractive way to replace chemical fertilizers, pesticides, and supplements.In Mexico, the corn (Zea mays L.) is an important annual gramineae crop with a high volume of global production because of the favorable environmental and socioeconomic situation.In this study the isolation of new strains of bacteria under different environmental conditions will enable further research avenues to better use the capacities of root-colonizing bacteria in agricultural production systems.The strains isolates were analyzed for five plant-growth-promoting attributes: N fixation, solubilization of phosphate, production of auxins, siderophores and gibberellins.The identification of bacterial isolates was determined by biochemical assays and VITEK2 Compact (bioMérieux).A total of 143 morphologically distinct rhizobacteria from corn crops of three communities of Guerrero, Mexico, were isolated, and 54 effective multi trait rhizobacteria were found.It was determined that the bacterial isolates are related to Pseudomonas, Enterobacter, Serratia, Pantoea, Staphylococcus, Klebsiella, Burkholderia, Salmonella, Proteus, Acinetobacter, Citrobacter and Streptoccoccus genus.This collection represents the first bank of multi trait activity in Mexico, and it will contribute to future studies as biomolecules for promoting early emergence and growth of the seeds.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
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".