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Record W2050087794 · doi:10.2478/v10032-008-0016-1

Inheritance of Sensitivity to Fenthion in Resistant and Susceptible to Bacterial Speck ( <i>Pseudomonas syringae</i> pv. <i>tomato</i> ) Tomato Genotypes

2008· article· en· W2050087794 on OpenAlexaboutno aff
E. Kozik, P. Sobiczewski

Bibliographic record

VenueJournal of Fruit and Ornamental Plant Research · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPseudomonas syringaeFenthionBiologyBackcrossingPseudomonasGenotypeCultivarHorticultureBotanyBacterial wiltGeneBacteriaGeneticsAgronomy

Abstract

fetched live from OpenAlex

Inheritance of Sensitivity to Fenthion in Resistant and Susceptible to Bacterial Speck ( Pseudomonas syringae pv. tomato ) Tomato Genotypes In developing bacterial speck ( Pseudomonas syringae pv. tomato ) resistant cultivars the reaction of tomato plants to fenthion (Lebaycid 50EC) can be used as an indicator in differentiation between resistant and susceptible genotypes. The presence of concentric light brown necrotic lesions on tomato leaves after spraying with Lebaycid 50EC corresponds with resistance to this disease. The method appeared to be simple, reliable and useful in tomato breeding program. Genetic analysis in F1, F2 and backcross segregation populations generated from crosses cv. Ontario 7710 (sensitive) and A100 (insensitive) indicated that sensitivity to fenthion in tomato is governed by one completely dominant gene Fen.

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 categoriesnone
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 score0.811
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.055
GPT teacher head0.272
Teacher spread0.217 · 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.

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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

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