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Record W4285260654 · doi:10.1007/978-3-662-64915-2_2

Gamma Irradiation of Embryogenic Cell Suspension Cultures from Cavendish Banana (Musa spp. AAA Group) and In Vitro Selection for Resistance to Fusarium Wilt

2022· book-chapter· en· W4285260654 on OpenAlexaff
Chunhua Hu, Yuan-li Wu, Ganjun Yi

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsSubculture (biology)PlantletBiologySomatic embryogenesisBotanyGerminationHorticulturePopulationCallusTissue cultureIn vitro

Abstract

fetched live from OpenAlex

Abstract In this chapter, the establishment of embryogenic cell suspension (ECS) cultures using immature male flowers of triploid banana (Musa AAA Cavendish subgroup cv. ‘Brazil’), followed by somatic embryogenesis and plantlet regeneration is described. Mutation induction is achieved by exposing the ECS to gamma irradiation with the dose of 80 Gy. The mutagenized cell population is transferred to solid long-term suspension culture medium for 96 h to recover from mutagen treatment shock, followed by somatic embryo induction and development medium containing 20% crude culture filtrates from Fusarium oxysporum f. sp. cubense (Foc). After 90 days, the somatic embryos that survive are transferred to the germination medium containing 25% crude culture filtrates. The surviving mature somatic embryos are transferred to rooting medium after the fourth subculture on the germination medium containing 50% crude culture filtrates. Before transplanting in a Foc infected field, the in vitro plantlets are acclimatized and screened for resistance to Foc using a pot-based greenhouse bioassay.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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)0.0030.002

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 head0.008
GPT teacher head0.212
Teacher spread0.204 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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