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Record W6959353022 · doi:10.1051/agro:2006020/pdf

Rock phosphate-potassium and rock-solubilising bacteria as alternative, sustainable fertilisers

2006· article· en· W6959353022 on OpenAlexaff

Bibliographic record

VenueSpringer Link (Chiba Institute of Technology) · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Growth Enhancement Techniques
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhosphoriteBacteriaPepperNutrientBiomass (ecology)PotassiumInoculationYield (engineering)

Abstract

fetched live from OpenAlex

Classical, soluble fertilisers create environmental and economic problems. As an alternative, we studied the direct applications of phosphate rock and potassium rock in conjunction with phosphate-solubilising bacteria and potassium-solubilising bacteria for cultivation of hot pepper Capsicum annuum L. Our findings show that integration of P and K rocks with inoculation of P- and K-solubilising bacteria increased P availability from 12 to 21% and K availability from 13 to 15% in the soil as compared with control, and subsequently improved nutrient (N, P and K) uptake to the plant. This integration also increased plant photosynthesis by 16% and leaf area by 35% as compared with control plants. Similarly, biomass harvest and fruit yield of the treated plants were 23% and 30%, respectively, higher as compared with control. Overall, we found that the treatment with P and K rocks and PK-solubilising bacterial strains and the treatment with classical, soluble fertiliser have a similar effectiveness. Therefore, direct application of P and K rocks and solubilising bacteria is a promising, sustainable alternative to the use of classical fertilisers.

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 score0.127
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.213
Teacher spread0.203 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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