Evidence map›Paper›PMID 32993651›Full record

ArticleBMC veterinary research2020

Phenotypic variability and population structure analysis of Tanzanian free-range local chickens.

James R Mushi, Gaspar H Chiwanga, Esinam N Amuzu-Aweh, Muhammed Walugembe, Robert A Max, Susan J Lamont, Terra R Kelly, Esther L Mollel, Peter L Msoffe, Jack Dekkers and 3 more

Abstract read
In one paragraph

Article in BMC veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

13 authors.

James R MushiDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Gaspar H ChiwangaDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Esinam N Amuzu-AwehDepartment of Animal Science, University of Ghana, Accra, Ghana.
Muhammed WalugembeDepartment of Animal Science, Iowa State University, Ames, IA, 50011, USA.
Robert A MaxDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Susan J LamontDepartment of Animal Science, Iowa State University, Ames, IA, 50011, USA.
Terra R KellySchool of Veterinary Medicine, University of California, Davis, 95616, USA.
Esther L MollelDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Peter L MsoffeDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Jack DekkersDepartment of Animal Science, Iowa State University, Ames, IA, 50011, USA.
Rodrigo GallardoSchool of Veterinary Medicine, University of California, Davis, 95616, USA.
Huaijun ZhouDepartment of Animal Science, University of California, Davis, 95616, USA.
Amandus P MuhairwaDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania. apm@sua.ac.tz.ORCID http://orcid.org/0000-0001-6166-4538

Funding

United States Agency for International Development AID-OAA-A-13-00080
6 · The paper itself

Abstract

backgroundFree-range local chickens (FRLC) farming is an important activity in Tanzania, however, they have not been well-characterized. This study aimed to phenotypically characterize three Tanzanian FRLCs and to determine their population structure. A total of 389 mature breeder chickens (324 females and 65 males) from three popular Tanzanian FRLC ecotypes (Kuchi, Morogoro-medium and Ching'wekwe) were used for the phenotypic characterization. Progenies of these chickens were utilized to assess population structure. The ecotypes were collected from four geographical zones across Tanzania: Lake, Central, Northern and Coastal zones. Body weights and linear measurements were obtained from the mature breeders, including body, neck, shanks, wingspan, chest girth, and shank girth. Descriptive statistics were utilized to characterize the chickens. Correlations between the linear measurements and differences among the means of measured linear traits between ecotypes and between sexes were assessed. A total of 1399 progeny chicks were genotyped using a chicken 600 K high density single nucleotide polymorphism (SNP) panel for determination of population structure.

resultsThe means for most traits were significantly higher in Kuchi relative to Ching'wekwe and Morogoro-medium. However, shank length and shank girth were similar between Kuchi and Morogoro-medium females. All traits were correlated with the exception of shank girth in Morogoro-medium. Admixture analyses revealed that Morogoro-medium and Ching'wekwe clustered together as one population, separate from Kuchi.

conclusionsPhenotypic traits could be used to characterize FRLCs, however, there were variations in traits among individuals within ecotypes; therefore, complementary genomic methods should be considered to improve the characterization for selective breeding.

Indexed as

AnimalsChickensEcotypeFemaleMalePhenotypePolymorphism, Single NucleotideTanzaniaFree-range local chickensGenetic diversityPhenotypic diversityPopulation structure

Identifiers

PMID32993651
PMCPMC7523039

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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.