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

BACKGROUND: Free-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 fe...

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Autores principales: Mushi, James R., Chiwanga, Gaspar H., Amuzu-Aweh, Esinam N., Walugembe, Muhammed, Max, Robert A., Lamont, Susan J., Kelly, Terra R., Mollel, Esther L., Msoffe, Peter L., Dekkers, Jack, Gallardo, Rodrigo, Zhou, Huaijun, Muhairwa, Amandus P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523039/
https://www.ncbi.nlm.nih.gov/pubmed/32993651
http://dx.doi.org/10.1186/s12917-020-02541-x
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author Mushi, James R.
Chiwanga, Gaspar H.
Amuzu-Aweh, Esinam N.
Walugembe, Muhammed
Max, Robert A.
Lamont, Susan J.
Kelly, Terra R.
Mollel, Esther L.
Msoffe, Peter L.
Dekkers, Jack
Gallardo, Rodrigo
Zhou, Huaijun
Muhairwa, Amandus P.
author_facet Mushi, James R.
Chiwanga, Gaspar H.
Amuzu-Aweh, Esinam N.
Walugembe, Muhammed
Max, Robert A.
Lamont, Susan J.
Kelly, Terra R.
Mollel, Esther L.
Msoffe, Peter L.
Dekkers, Jack
Gallardo, Rodrigo
Zhou, Huaijun
Muhairwa, Amandus P.
author_sort Mushi, James R.
collection PubMed
description BACKGROUND: Free-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. RESULTS: The 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. CONCLUSIONS: Phenotypic 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.
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spelling pubmed-75230392020-09-30 Phenotypic variability and population structure analysis of Tanzanian free-range local chickens Mushi, James R. Chiwanga, Gaspar H. Amuzu-Aweh, Esinam N. Walugembe, Muhammed Max, Robert A. Lamont, Susan J. Kelly, Terra R. Mollel, Esther L. Msoffe, Peter L. Dekkers, Jack Gallardo, Rodrigo Zhou, Huaijun Muhairwa, Amandus P. BMC Vet Res Research Article BACKGROUND: Free-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. RESULTS: The 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. CONCLUSIONS: Phenotypic 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. BioMed Central 2020-09-29 /pmc/articles/PMC7523039/ /pubmed/32993651 http://dx.doi.org/10.1186/s12917-020-02541-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Mushi, James R.
Chiwanga, Gaspar H.
Amuzu-Aweh, Esinam N.
Walugembe, Muhammed
Max, Robert A.
Lamont, Susan J.
Kelly, Terra R.
Mollel, Esther L.
Msoffe, Peter L.
Dekkers, Jack
Gallardo, Rodrigo
Zhou, Huaijun
Muhairwa, Amandus P.
Phenotypic variability and population structure analysis of Tanzanian free-range local chickens
title Phenotypic variability and population structure analysis of Tanzanian free-range local chickens
title_full Phenotypic variability and population structure analysis of Tanzanian free-range local chickens
title_fullStr Phenotypic variability and population structure analysis of Tanzanian free-range local chickens
title_full_unstemmed Phenotypic variability and population structure analysis of Tanzanian free-range local chickens
title_short Phenotypic variability and population structure analysis of Tanzanian free-range local chickens
title_sort phenotypic variability and population structure analysis of tanzanian free-range local chickens
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523039/
https://www.ncbi.nlm.nih.gov/pubmed/32993651
http://dx.doi.org/10.1186/s12917-020-02541-x
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