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Record W2126516722 · doi:10.1093/jhered/92.5.442

Mapping Genes Conferring Resistance to Phytophthora Root Rot of Soybean, Rps1a and Rps7

2001· article· en· W2126516722 on OpenAlexaff
C. Weng

Bibliographic record

VenueJournal of Heredity · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyPhytophthora sojaePopulationGenePhytophthoraGeneticsBotany

Abstract

fetched live from OpenAlex

A linkage map was constructed for two Phytophthora sojae Kauf. +Gerd. root rot resistance genes, Rps1a and Rps7, in soybean (Glycine max (L.) Merr.) using microsatellite or simple sequence repeat (SSR) markers. An F2 population consisting of 81 individuals derived from a cross between OX281, which carries Rps7, and Mukden, which carries Rps1a, was used as the mapping population. A linkage map consisting of 10 SSR markers was first constructed using the computer software MapMaker/EXP 3.0. Rps1a and Rps7 were then placed at two different loci in the same linkage group with LOD scores of 2.88 and 9.16, respectively. Rps1a and Rps7 were linked at a distance of 13.8 cM. Rps1a was flanked by Satt159 (0.7 cM) and Satt009 (3.2 cM). Rps7 was flanked by Satt009 (10.6 cM) and Satt125 (29.1 cM).

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.229
Teacher spread0.201 · 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 designObservational
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

Citations84
Published2001
Admission routes1
Has abstractyes

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