Evidence map›Paper›PMID 39194812›Full record

ArticleInsects2024

Performance of Artificial Diets for

Ugo Picciotti, Miguel Valverde-Urrea, Valdete Sefa, Marco Ragni, Francesca Garganese, Francesco Porcelli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Insects, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ugo PicciottiDipartimento di Scienze del Suolo, della Pianta e degli Alimenti, University of Bari Aldo Moro, 70126 Bari, Italy.ORCID 0000-0002-7009-6891
Miguel Valverde-UrreaLaboratory of Plant Pathology, Department of Marine Sciences and Applied Biology, University of Alicante, 03080 Alicante, Spain.ORCID 0000-0002-5708-5258
Valdete SefaDipartimento di Scienze del Suolo, della Pianta e degli Alimenti, University of Bari Aldo Moro, 70126 Bari, Italy.
Marco RagniDipartimento di Scienze del Suolo, della Pianta e degli Alimenti, University of Bari Aldo Moro, 70126 Bari, Italy.ORCID 0000-0002-5117-7960
Francesca GarganeseDipartimento di Scienze del Suolo, della Pianta e degli Alimenti, University of Bari Aldo Moro, 70126 Bari, Italy.ORCID 0000-0002-7386-8543
Francesco PorcelliDipartimento di Scienze del Suolo, della Pianta e degli Alimenti, University of Bari Aldo Moro, 70126 Bari, Italy.ORCID 0000-0001-5620-7826

Funding

AGRITECH European Union Next-Generation EU, PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR D.D. 1032 17/06/2022, CN00000022CURE-Xf 634353Pest Organisms Threatening Europe 635646Phenotyping of Olive Genotypes Resistant to Xylella fastidiosa and development of a highly sustainable AGRonomic management model' financed D.M. n. 664538 of 28/12/2022Regione Puglia, Dottorati di ricerca in Puglia, XXXV, 1/FSE/2020 POR PUGLIA 2012/2020RIGENERA - Approcci integRati per il mIglioramento GENEtico, la selezione e l'ottenimento di materiali vegetali Resistenti a Xylella fastidiosA) DM 665024 del 29/12/2022Xylella Fastidiosa Active Containment Through a multidisciplinary-Oriented Research Strategy 727987
6 · The paper itself

Abstract

Mass production is a prerequisite for using natural enemies in integrated pest management and organic farming. Natural enemies in agroecosystems include predators that prey on insects, which they can subdue while maintaining adequate pest population densities. The Leafhopper Assassin Bug (LAB),

Indexed as

alien invasivebiofactoryIPMolive quick decline syndrome

Identifiers

PMID39194812
PMCPMC11354418

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.