Evidence map›Paper›PMID 38842723›Full record

ArticleApplied microbiology and biotechnology2024

Diversity study of Beauveria bassiana species for finding the most virulent strain to manage Bemisia tabaci in cotton.

Satish Kumar Sain, Sandhya Kranthi, Keshav Raj Kranthi, Dilip Monga, Debashis Paul, Yenumula G Prasad

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Endophytic entomopathogenic fungi: The next frontier in mycological biocontrol.World journal of microbiology & biotechnology · 2026
    Review
  3. An Agar-Water-Assisted ODJournal of fungi (Basel, Switzerland) · 2026
    Article
  4. Article
  5. 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.

Satish Kumar SainICAR-Central Institute for Cotton Research, Regional Station, Sirsa, Haryana, India. sain.skumar@gmail.com.ORCID http://orcid.org/0000-0003-4378-8363
Sandhya KranthiInternational Cotton Advisory Committee, Washington, DC, USA.
Keshav Raj KranthiInternational Cotton Advisory Committee, Washington, DC, USA.
Dilip MongaICAR-Central Institute for Cotton Research, Regional Station, Sirsa, Haryana, India.
Debashis PaulICAR-Central Institute for Cotton Research, Regional Station, Sirsa, Haryana, India.
Yenumula G PrasadICAR-Central Institute for Cotton Research, Nagpur, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beauveria bassiana (Bal.-Criv.) is an important entomopathogenic fungus being used for the management of various agricultural pests worldwide. However, all strains of B. bassiana may not be effective against whitefly, Bemisia tabaci, or other pests, and strains show diversity in their growth, sporulation, virulence features, and overall bioefficacy. Thus, to select the most effective strain, a comprehensive way needs to be devised. We studied the diversity among the 102 strains of B. bassiana isolated from 19 insect species based on their physiological features, virulence, and molecular phylogeny, to identify promising ones for the management of B. tabaci. Strains showed diversity in mycelial growth, conidial production, and their virulence against B. tabaci nymphs. The highest nymphal mortality (2nd and 3rd instar) was recorded with MTCC-4511 (95.1%), MTCC-6289 (93.8%), and MTCC-4565 (89.9%) at a concentration of 1 × 10

Indexed as

BeauveriaGossypiumHemipteraPest Control, BiologicalPhylogenyAnimalsGenetic VariationNymphSpores, FungalVirulenceBeauveria bassianaBioefficacy indexDiversityEntomopathogensPCASED

Identifiers

PMID38842723
PMCPMC11156744

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Registered trials

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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 OpenQuestion graph.