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Record W4403849331 · doi:10.33096/agrotek.v8i2.617

OPTIMASI MEDIA DAN TEKNIK STERILISASI UNTUK MENINGKATKAN KUALITAS MISELIUM BIBIT F2 JAMUR TIRAM (Pleurotus ostreotus)

2024· article· en· W4403849331 on OpenAlexaff
Muhammad Hatta, A Agussalim

Bibliographic record

VenueAGROTEK Jurnal Ilmiah Ilmu Pertanian · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHorticultureBiology

Abstract

fetched live from OpenAlex

F2 seeds are a derivative of F1 cultivation grown in a medium containing cellulose. Sorghum seeds and corn seeds contain cellulose, hemicellulose, and lignin that can be used as innovative media for F2 seedling development and the growth of oyster mushroom mycelium. The purpose of this research is to determine the growth of F2 oyster mushroom mycelium on media of sorghum seeds and corn seeds that have been sterilized for 40 minutes and 60 minutes. The type of research used is an experiment with a Completely Randomized Design (CRD) in a factorial pattern consisting of 2 factors. Factor 1 is the media type: Sorghum Seeds, and corn Seeds. Factor 2 is the Sterilization Time: 60 minutes and 40 minutes. The parameters measured are the length of the mycelium, the spread of the mycelium, and the thickness of the mycelium in F2 oyster mushroom seedlings. Technical analysis uses quantitative descriptive data. Based on the results obtained regarding the growth of the F2 oyster mushroom mycelium, the highest growth was observed on sorghum seed media, measuring 13.81 cm, with a very thick and dense spread. The cellulose content affects the growth of the mycelium. Meanwhile, the lowest growth of the F2 oyster mushroom mycelium was found on corn seed media, measuring 11.27 cm, with a thin and uneven spread, and a density or thickness that is thin and sparse.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.215
Teacher spread0.200 · 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.

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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