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Record W4404703946 · doi:10.1016/j.jafr.2024.101492

Biological control of citrus pests: A systematic bibliometric analysis 2000–2023

2024· article· en· W4404703946 on OpenAlexfundno aff
Mohamed El Ammari, Rabea Ziri, Hassan Boukita, Najiba Brhadda, Fahad Kaoutar

Bibliographic record

VenueJournal of Agriculture and Food Research · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytoplasmas and Hemiptera pathogens
Canadian institutionsnot available
FundersCMC MicrosystemsFaculté des Sciences, Université Ibn Tofail
KeywordsGeographyToxicologyBiology

Abstract

fetched live from OpenAlex

In the last twenty years, the discussion around biological control has sparked more attention towards investments in the correlation between the economy and agriculture. Consequently, the notion of pest management in agriculture has acquired impetus. The objective of this study is to provide a detailed and extensive overview of the existing information in the literature about the biological management of pests that affect citrus crops. To do this, a methodical bibliometric study is conducted on a set of 793 peer-reviewed publications in SCOPUS, using keywords, co-citations, and bibliographic coupling analyses. Consequently, the biological management of citrus pests was founded by establishing four basic research topics: (1) Addressing the difficulties and approaches to combat Asian Citrus Psyllid, (2) Implementing biological pest management to control mites in citrus, (3) Gaining insights into Huanglongbing by studying the dynamics of Asian Citrus Psyllid, and (4) Managing nematodes and fungus for effective citrus pest control. In addition, the findings indicated that the most recent study topics in the specific literature are categorized into six distinct areas, namely: (1) Integrated Pest Management in Citrus Orchards: Entomopathogenic Nematodes, Fungi, and Essential Oils. (2) Citrus Pest Management: Lessons from Predators and Parasitoids, (3) Integrated Approaches for Managing Diaphorina citri and Citrus Greening Disease, (4) Novel Microbial Biocontrol for Controlling Citrus Fruit Decay and Postharvest Pathogens, (5) Citrus Orchard Mite Management: Integrated Strategies, and (6) Global Strategies for Controlling Citrus Leafminer and Arthropod Pests. The provided map of research on biological control of citrus pests serves the dual purpose of assisting scientists in advancing their research and aiding practitioners, as well as local and national authorities, in effectively applying biological pest management in agriculture. • Integrated Pest Management in Citrus Orchards: Entomopathogenic Nematodes, Fungi, and Essential Oils. • Managing Citrus Pests: Insights from Predators and Parasitoids. • Integrated Strategies for Diaphorina citri and Citrus Greening Disease Management. • Innovative Microbial Biocontrol for Citrus Fruit Decay and Postharvest Pathogens. • Mite Management in Citrus Orchards, Integrated Approaches.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.851
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.059
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 head0.063
GPT teacher head0.308
Teacher spread0.244 · 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 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

Citations5
Published2024
Admission routes1
Has abstractyes

Explore more

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