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Record W4323661040 · doi:10.5772/intechopen.110306

<i>Pyrenophora tritici-repentis</i>: A Worldwide Threat to Wheat

2023· book-chapter· en· W4323661040 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIntechOpen eBooks · 2023
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsUniversity of Saskatchewan
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPyrenophoraPathosystemBiologyAgronomyFungicideLeaf spotCultivarPopulationBiotechnologyHorticultureInoculationEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

The necrotrophic fungus Pyrenophora tritici-repentis is the causal agent of tan spot of wheat, also known as yellow spot. Tan spot is one of the main foliar diseases of wheat, responsible for significant yield loss worldwide. To improve tan spot management, genetic control has been investigated and resistance in some cultivars improved; however, the complexity of the pathosystem wheat - P. tritici-repentis makes integrated disease management strategies very important. In this chapter, we provide an overview of the current state of knowledge of tan spot, including a basic understanding of characterization, pathogenicity, population biology, the global distribution of races, and the genetics of the wheat - P. tritici-repentis interaction. Furthermore, we describe several strategies that can be employed to control tan spot including, seed sanitation, cultural practices, fungicide and biological controls, as well as complementary alternative measures such as fertilization for efficient disease management in wheat production systems.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.872
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.004

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 head0.036
GPT teacher head0.240
Teacher spread0.204 · 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