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Microbial consortia developed for Ocimum tenuiflorum reduces application of chemical fertilizers by 50% under field conditions

2018· article· en· W2805015927 on OpenAlex
E. Jyothi, D. J. Bagyaraj, E. V. S. Prakasa Rao

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedicinal Plants - International Journal of Phytomedicines and Related Industries · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsCentre for Community Based Research
Fundersnot available
KeywordsOcimumChemistryBiologyBotany

Abstract

fetched live from OpenAlex

An earlier study conducted under glass house conditions revealed a strong synergistic relationship between arbuscular mycorrhizal fungus (AMF-Glomus monosporum) and the plant growth promoting rhizobacterium (PGPR-Pantoea dispersa) screened and selected for inoculating Ocimum tenuiflorum. The present study was undertaken to validate the results of glass house studies under field conditions. The field experiment was conducted with selected microbial consortia with varying levels of chemical fertilizers in order to find out the possibility of reducing the recommended level of chemical fertilizers for O. tenuiflorum cultivation. The results obtained from the field experiment suggested that inoculation with microbial consortia increased plant growth, dry weight, essential oil concentration compared to uninoculated plants. The results also brought out that 50% of recommended NPK fertilizer can be reduced through inoculation with microbial consortia with no adverse effect on growth and yield of O. tenuiflorum.

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.

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 score0.147
Threshold uncertainty score0.729

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.263
Teacher spread0.251 · 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