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Record W4406435109 · doi:10.36036/mr.33.2.2024.157125

Phosphorus biofortification of Pleurotus floridanus Singer and its effect on fruit body yield and phosphorus bioavailability

2024· article· en· W4406435109 on OpenAlexaff
O.M. Adedokun, Lebatam Bete Nnyam, Jeremiah Kelechi Odiketa, Stuart Whitehall

Bibliographic record

VenueMushroom Research · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicPhosphorus and nutrient management
Canadian institutionsNutrasourceUniversity of Saskatchewan
Fundersnot available
KeywordsBiofortificationPhosphorusBioavailabilityYield (engineering)BiologyAgronomyHorticultureChemistryMicronutrientBioinformatics

Abstract

fetched live from OpenAlex

Phosphorus is an essential mineral needed for the growth, maintenance, and repair of all tissues and cells. This study was designed to biofortify Pleurotus floridanus with phosphorus supplements and assessed its effect on the yield and phosphorus contents. Phosphorus supplement was added to mushroom growth media. The experiment was set in Completely Randomized Design with five replicates. The result showed a positive effect of phosphorus supplementation on the number of mushroom fruit bodies, duration to fruiting and harvesting, and wet & dry weight of fruit bodies. Proximate analysis of treated samples had lower carbohydrate, higher fibre, lower lipid compared with the normal control. Phosphorus content was higher in control compared with treated samples. Conclusively, P is an essential element and it may be important to use the appropriate type of phosphate sources to ensure itsavailability.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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 head0.047
GPT teacher head0.315
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

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