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Record W4411876108 · doi:10.1079/9781800625228.0007

Fungus–Nematode Root-rot Disease Complex

2025· book-chapter· en· W4411876108 on OpenAlexaff
Mujeebur Rahman Khan, Abolfazl Hajihassani, Shabeg S. Briar, Dayani Patuwatha Withanage

Bibliographic record

VenueCABI eBooks · 2025
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsOlds College
Fundersnot available
KeywordsNematodeFungusRoot rotBiologyPlant diseaseDiseaseBotanyMedicineEcologyPathologyBiotechnology

Abstract

fetched live from OpenAlex

This chapter explores the intricate world of root-rot diseases caused by plant-parasitic nematodes and fungal pathogens in agricultural settings, covering essential topics for understanding and managing these diseases effectively. It examines the far-reaching economic consequences of disease complexes worldwide, characterizing groups of nematode and fungal pathogens that contribute to synergistic interactions and their diverse effects on cultivated crops. Specifically, this chapter explores how these synergistic interactions amplify root-rot infections, culminating in devastating plant damage and substantial yield losses. Advanced and recent management approaches, ranging from cultural practices to chemical applications, biological control methods and integrated pest management strategies are examined. Finally, the chapter discusses the prospects and advancements in addressing the challenges posed by the complex interplay of root-rot fungi and nematodes, highlighting the importance of ongoing research, innovation and sustainable practices to ensure agricultural resilience and global food security.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.907
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.036
GPT teacher head0.221
Teacher spread0.185 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2025
Admission routes1
Has abstractyes

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