Evidence map›Paper›PMID 34650594›Full record

ArticleFrontiers in genetics2021

High Genetic Diversity but Absence of Population Structure in Local Chickens of Sri Lanka Inferred by Microsatellite Markers.

Amali Malshani Samaraweera, Ranga Liyanage, Mohamed Nawaz Ibrahim, Ally Mwai Okeyo, Jianlin Han, Pradeepa Silva

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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 at 3 institutions in 3 countries.

Amali Malshani SamaraweeraDepartment of Animal Science, Faculty of Animal Science and Export Agriculture, Uva Wellassa University, Badulla, Sri Lanka.
Ranga LiyanagePostgraduate Institute of Agriculture, University of Peradeniya, Peradeniya, Sri Lanka.
Mohamed Nawaz IbrahimInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
Ally Mwai OkeyoInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
Jianlin HanInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
Pradeepa SilvaDepartment of Animal Science, Faculty of Agriculture, University of Peradeniya, Peradeniya, Sri Lanka.
International Livestock Research Institute · KEUniversity of Peradeniya · LKUva Wellassa University · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Local chicken populations belonging to five villages in two geographically separated provinces of Sri Lanka were analyzed using 20 microsatellite markers to determine the genetic diversity of local chickens. Population genetic parameters were estimated separately for five populations based on geographic locations and for eight populations based on phenotypes, such as naked neck, long legged, crested or crown, frizzle feathered, Giriraj, commercial layer, crossbreds, and non-descript chicken. The analysis revealed that there was a high genetic diversity among local chickens with high number of unique alleles, mean number of alleles per locus (MNA), and total number of alleles per locus per population. A total of 185 microsatellite alleles were detected in 192 samples, indicating a high allelic diversity. The MNA ranged from 8.10 (non-descript village chicken) to 3.50 (Giriraj) among phenotypes and from 7.30 (Tabbowa) to 6.50 (Labunoruwa) among village populations. In phenotypic groups, positive inbreeding coefficient (

Indexed as

genetic diversitylocal chickenmicrosatellite markerpopulation structuretropical climate

Identifiers

PMID34650594
PMCPMC8505892
OpenAlexW3203342351

What OpenQuestion 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 OpenQuestion graph.