Updated: 2025-12-07
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0224U002539, 0121U100496 , R & D reports
Investigate the degree of individual QTL genes influence on the development level of meat productivity genotypes of the created sheep new gene pool
Iovenko Vasyl M., Доктор сільськогосподарських наук
18-02-2024
MF Ivanov Askania-Nova Institute of Steppe Animal Husbandry - National Scientific Breeding and Genetics Center for Sheep Breeding
The aim of the work is to identify genes affecting to the sheep level productivity and these genes polymorphism level; study the influence of individual QTL - loci on the Ascanian breeding sheep growth and development; determination of the correlation’s types between the identified genes and the quantitative and qualitative sheep traits development level of the gene pool being created. The object of research is the genes polymorphism, those involved in the sheep development of certain quantitative and qualitative productive traits. Research methods are molecular genetic (PCR-PDRF), population genetic. In accordance to the results of PCR-PDRF analysis by the CAST, GH and CLPG genes, were investigated the sheep populations genetic structures of the Ascanian Meat-and-Wool breed (AMW), the Ascanian Fine-Fleeced breed (AFF) and their hybrids with the Merinolandschaf and Texel breeds, as well as the growth and development of different genotypes young animals. It was established that CAST and GH genes are polymorphic, and CLPG is monomorphic. According to the growth hormone gene, the genotyped AFF animals and crossbreeds are characterized by a high concentration of the G allele (0.525 – 0.714), and for the calpastatin gene – the M allele (0.719 – 0.983). Population genetic parameters (Ho, He, Fis, PIC, χ2) were calculated by CAST and GH genes. Young sheep with GH GG and CAST MM genotypes are characterized by a high level of live weight development compared to their peers. According to the research results, a method of assessment, selection and forecasting of the sheep meat productivity level development at an early age has been developed.
Huzevatyi Oleh Ye.
Dzitsiuk Valentyna V.
Pysarenko Nadiia B.
Skrepets Kostiantyn V.
Yakovchuk Hanna O.
2024-02-18
Updated: 2025-12-07
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