Larkina, Tatiana A. and Barkova, Olga Y. and Peglivanyan, Grigoriy K. and Mitrofanova, Olga V. and Dementieva, Natalia V. and Stanishevskaya, Olga I. and Vakhrameev, Anatoly B. and Makarova, Alexandra V. and Shcherbakov, Yuri S. and Pozovnikova, Marina V. and Brazhnik, Evgeni A. and Griffin, Darren K. and Romanov, Michael N. (2022) Evolutionary subdivision of domestic chickens: implications for local breeds as assessed by phenotype and genotype in comparison to commercial and fancy breeds. In: Poultry: Breeding, Health, Nutrition, and Management. Printed edition of the special issue published in Agriculture. MDPI, Basel, Switzerland, Basel, Switzerland, pp. 121-143. ISBN 978-3-0365-4055-9. E-ISBN 978-3-0365-4056-6. (doi:10.3390/books978-3-0365-40) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:96979)
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Official URL: https://doi.org/10.3390/books978-3-0365-40 |
Abstract
To adjust breeding programs for local, commercial, and fancy breeds, and to implement molecular (marker-assisted) breeding, a proper comprehension of phenotypic and genotypic variation is a sine qua non for breeding progress in animal production. Here, we investigated an evolutionary subdivision of domestic chickens based on their phenotypic and genotypic variability using a wide sample of 49 different breeds/populations. These represent a significant proportion of the global chicken gene pool and all major purposes of breed use (according to their traditional classification model), with many of them being characterized by a synthetic genetic structure and notable admixture. We assessed their phenotypic variability in terms of body weight, body measurements, and egg production. From this, we proposed a phenotypic clustering model (PCM) including six evolutionary lineages of breed formation: egg-type, meat-type, dual purpose (egg-meat and meat-egg), game, fancy, and Bantam. Estimation of genotypic variability was carried out using the analysis of five SNPs, i.e., at the level of genomic variation at the NCAPG-LCORL locus. Based on these data, two generally similar genotypic clustering models (GCM1 and GCM2) were inferred that also had several overlaps with PCM. Further research for SNPs associated with economically important traits can be instrumental in marker-assisted breeding programs.
Item Type: | Book section |
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DOI/Identification number: | 10.3390/books978-3-0365-40 |
Uncontrolled keywords: | chicken breeds; evolutionary lineages; phenotypic traits; NCAPG-LCORL; synthetic genetic structure; admixture |
Subjects: |
Q Science > QH Natural history Q Science > QH Natural history > QH324.2 Computational biology Q Science > QH Natural history > QH426 Genetics Q Science > QH Natural history > QH75 Conservation (Biology) S Agriculture > SF Animal culture |
Divisions: |
Divisions > Division of Natural Sciences > Centre for Interdisciplinary Studies of Reproduction Divisions > Division of Natural Sciences > Biosciences |
Signature Themes: | Food Systems, Natural Resources and Environment |
Depositing User: | Mike Romanov |
Date Deposited: | 18 Sep 2022 15:10 UTC |
Last Modified: | 05 Nov 2024 13:01 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/96979 (The current URI for this page, for reference purposes) |
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