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Record W2759432218 · doi:10.5539/mas.v11n10p74

Potency of Bacillus spp from Potato Rhizosphere as Active Ingredients for Biostimulant Formulation

2017· article· en· W2759432218 on OpenAlexvenueno aff
Henry Kesaulya, Hasinu Jeffij Virgowati, Tuhumury Gratiana Normalita Celvia

Bibliographic record

VenueModern Applied Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsnot available
Fundersnot available
KeywordsBacillus subtilisBacillus cereusRhizosphereBacillus (shape)Strain (injury)BiologyIngredientBacteriaSiderophoreBacillaceaeFood scienceMicrobiology

Abstract

fetched live from OpenAlex

Bacteria that colonized plant roots can be identify, characterify and tested for their ability to stimulate plant growth. The purpose of this research is to know the ability of Bacillus spp bacteria as active ingredient of biostimulant formulation which aims to stimulate the growth of plants. Bacillus spp bacteria derived from rooting potato plants tested its ability to dissolve phosphate, N fixation, producing IAA, GA, siderophore and HCN. The results showed different abilities in producing growth-promoting compounds from each tested strain. Bacillus niabensis Strain PT-32-1, Bacillus subtilis Strain SWI16b, Bacillus mojavensis Strain JCEN3, Bacillus subtilis Strain HPC21, Bacillus cereus Strain HY, and Bacillus moyavensis UCMB 5075 can be utilized as an active ingredient formulation biostimulantplant growth promoting non pathogenic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.282
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2017
Admission routes1
Has abstractyes

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