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Record W2968507476 · doi:10.29169/1927-5129.2019.15.01

Pathogenesis and Varietal Screening for Panama Wilt Disease of Banana in Pakistan

2019· article· en· W2968507476 on OpenAlexvenueno aff
Nasreen Sultana, Khalil Ahmed Khanzada, Jawed Akhtar, Syed Asim Rehan Kazmi

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBanana Cultivation and Research
Canadian institutionsnot available
Fundersnot available
KeywordsWiltingFusarium wiltBiologyCropWilt diseaseFusarium oxysporum f.sp. cubenseMusaceaeHorticulturePanamaInoculationCultivarVeterinary medicineConidiumFusarium oxysporumAgronomyMedicine

Abstract

fetched live from OpenAlex

Banana is the world largest fruit crop with an annual production of 114 million tonnes and Pakistan produces 154,800 tons annually. Panama wilt caused by Fusarium oxysporum f. sp. cubense (Foc) is the most widespread and destructive banana diseases worldwide. In Pakistan Panama disease was first recorded in 2012 in few banana fields of district Thatta and Hyderabad in the Sindh. The infection processes and mechanisms of pathogenesis of Foc in relation to symptoms expression and evaluation of Cavendish varieties for panama wilt of banana were studied. Pathogenesis was confirmed by establishing Koch’s postulates. The experiment was to evaluate occurrences of necrotic and wilting symptoms and the disease intensity on banana suckers of Cavendish cultivar, two months plantlets were artificially inoculated with 106 conidia/ml suspension of Foc. Five tested Cavendish varieties viz., w11, G9, Basari, Pisang and BT10 showed low to high average of score of wilting and necrotic symptoms. Based on the calculation of disease intensities, all Cavendish varieties tested were identified as susceptible to Foc infection.

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 score0.004
Threshold uncertainty score0.009

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)0.0010.000

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 head0.038
GPT teacher head0.294
Teacher spread0.256 · 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
Published2019
Admission routes1
Has abstractyes

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