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Record W2165730403 · doi:10.1111/jph.12369

Virulence of <i>Phytophthora sojae</i> in the Pampeana Subregion of Argentina from 1998 to 2004

2015· article· en· W2165730403 on OpenAlexaboutno aff
Pablo E. Grijalba, Marcela Gally

Bibliographic record

VenueJournal of Phytopathology · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsPhytophthora sojaeBiologyVirulenceCultivarPhytophthoraVeterinary medicineBotanyHorticultureAgronomyGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Phytophthora root rot is one of the most serious diseases of soybeans in Argentina. Surveys of commercial fields and trial plots of soybean were conducted throughout the northern Pampeana subregion (Argentina) between 1998 and 2004. A total of 193 isolates of Phytophthora sojae were collected and classified into races or virulence formulae. Among the 173 isolates tested on 8 differentials, 42 different pathotypes were detected, including 18 described races. Races 1, 4, 5, 7, 9, 13, 23 and 24 were found in both plants and soils, whereas races 2, 3, 6, 8, 11, 14, 15, 17, 43 and 44 were only isolated from plants. An additional 19 pathotypes were described from 20 isolates tested in Canada on the expanded set of 14 differential cultivars. Currently, all Rps genes/alleles associated with resistance have been defeated, indicating an increased complexity of virulence within the P. sojae populations in the region. The great increase in virulence complexity found in this study is most likely a result of a long period of continuous production of soybean cultivars with Rps genes and the extensive adoption of the no‐tillage system.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.080

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)0.0000.000

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 head0.033
GPT teacher head0.235
Teacher spread0.202 · 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

Citations11
Published2015
Admission routes1
Has abstractyes

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