BIO Web Conf.
Volume 17, 2020International Scientific-Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2019)
|Number of page(s)||6|
|Published online||28 February 2020|
Features of coat color and markings and impact of dun factor on Vyatka horse breed
All-Russian Research Institute of Horse Breeding (VNIIK), 391105 Divovo Village, Ryazan Region, Russia
2 Izhevsk State Agricultural Academy, 426069 Izhevsk, Russia
3 Moscow State Academy of Veterinary Medicine and Biotechnology MVA named after K.I. Skryabin, 109472 Moscow, Russia
* Corresponding author: email@example.com
The predominant coat colors in Vyatka horse breed are bay-brown (69.6 %) and mousey (20.8 %). Among the genotyped livestock, three genotypes of the base bay coat color (EE/AA, EE/Aa, Ee/AA) and two genotypes of the base solid blackcock (EE/a/a, Ee/aa) have been detected. The proportion of horses with Cr allele is 2.1 %. In Vyatka horse breed, three isabelline-brown horses (Cr/Cr) have been recorded and the presence of W20n allele was detected. Among the horses genotyped, 35.5 % are DD homozygous, 61.3 % are heterozygous (Dd1, Dd2), 3.2 % have the nd2/nd2 genotype. Allele d2 against the background of D does not always cause the presence of “wild” markings, unlike D/D. The influence of Dun-factor on the depigmentation area has not been detected. 39.9 % of horses have white markings (including 30 % of stallions), which are mainly facial markings (59.8 %), less often they are leg markings (21.6 %) or both facial and leg markings (18, 6 %).
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.