Abstract

Phenotype assessment is an important process in breeding practice and for studying the influence of genes that shape the productive qualities of sheep. As a result of many years of selection and breeding work, the existing indicators fixed in the breed have lost their supposed potential, which dictates the need to search for new indicators that more accurately characterize the meat productivity of sheep. The aim of the work is to assess the informativeness of phenotype parameters in Russian meat merino sheep by the method of principal component analysis, for further use in genomic selection programs, as well as applicable for in vivo assessment of meat productivity. For the first time, new methods of assessing the exterior and interior for the study of meat productivity have been proposed and their efficiency has been determined for russian meat merino (RMM) sheep. The possibility of determining the size of individual muscle groups using such parameters as the girth of the shoulder, forearm and thigh by instrumental methods, as well as measuring the thigh muscle thickness and fat thickness (TMT and FT) in the lumbar region using ultrasound was studied. The object of the study was the one-year -old rams (n = 50) of the Russian Meat Merino (RMM) breed. To assess the significance of the proposed measurements, in comparison with those used in existing practice, the principal component method and correlation analysis were used. In the course of the work carried out, it was found that measurements: thigh volume, forearm girth had the most significant correlations with all parameters describing the exterior of the PMM breed. Based on the analysis of the main components, it was determined that the first six components in our study explained more than 80% of phenotypic variability. Thus, the proposed parameters determined by ultrasound: TMT and FT are advisable to use for the phenotypic assessment of the conformation of sheep of the RMM breed, especially when searching for genomic associations with productive qualities.

Highlights

  • Ключевые слова: фенотипическая изменчивость, факторный анализ, овцы, мясная продуктивность, селекция и разведение животных, промеры тела, оценка, ультрасонография

  • Изучена возможность определения величины отдельных мышечных групп с использованием таких параметров, как обхват плеча, предплечья и бедра инструментальными методами, а также измерение толщины бедренной мышцы и жира (ТБМ и толщину жира (ТЖ)) в поясничной области с помощью УЗИ

  • The aim of the work is to assess the informativeness of phenotype parameters in Russian meat merino sheep by the method of principal component analysis, for further use in genomic selection programs, as well as applicable for in vivo assessment of meat productivity

Read more

Summary

МЕРИНОС МЕТОДОМ АНАЛИЗА ГЛАВНЫХ КОМПОНЕНТ

Целью работы является оценка информативности параметров фенотипа у овец породы российский мясной меринос методом анализа главных компонент, для дальнейшего использования в программах геномной селекции, а также применимых для прижизненной оценки мясной продуктивности. Целью работы является поиск информативных параметров оценки фенотипа у овец породы российский мясной меринос, для дальнейшего использования в программах геномной селекции, а также применимых для прижизненной оценки мясной продуктивности. J. (2021) при расчете главных компонент сообщали, что длина предплечья вносит вклад в первые две компоненты и входит в группу показателей для прижизненной оценки мясных пород овец [24]. R. et al, 2007 приводятся данные о высокой корреляции прижизненных показателей полученных с помощью УЗИ и послеубойных характеристик мышечного глазка, что позволяет рекомендовать этот метод исследования для определения мясной продуктивности овец. ШМГ 0,2689 0,018 0,0231 0,0196 0,3581 0,009 0,0149 0,5524 0,9686 0,3815 0,1507 p

Описание компоненты
Findings
Координаты параметров
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.