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Record W1903417642 · doi:10.4141/cjps09153

Inheritance of resistance to powdery mildew (<i>Oidium lycopersicum</i>) and its linkage to an SSR marker in tomato hybrid DRW4409

2010· article· en· W1903417642 on OpenAlexafffundvenue
Chunlin He, Vaino Poysa, K. Yu, Chaoyuan Shi

Bibliographic record

VenueCanadian Journal of Plant Science · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPowdery Mildew Fungal Diseases
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsPowdery mildewBiologyGeneticsPlant disease resistanceInheritance (genetic algorithm)PopulationResistance (ecology)GeneBotanyAgronomy

Abstract

fetched live from OpenAlex

Powdery mildew is a serious disease for greenhouse and field tomatoes in North America. The main objective of this experiment was to study the genetic inheritance of resistance to powdery mildew in tomato hybrid DRW4409 and to identify simple sequence repeat (SSR) markers linked to the resistance gene. Analysis of a genetic population derived from DRW4409 showed that resistance to powdery mildew is controlled by a single dominant gene. Screening 158 SSR loci found that the SSR marker, LEat014, is linked to this gene at a map distance of 8.0 cM. To the best of our knowledge, this is the first report of an SSR linked to the resistance gene in DRW4409. Because of its co-dominant nature, this SSR should be useful to breeders in screening tomato plants for resistance to powdery mildew when DRW4409 is used as the resistance gene source.

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)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.206
Teacher spread0.195 · 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

Citations4
Published2010
Admission routes3
Has abstractyes

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