Academic Journal

Heritability and genetic correlation of body weight and Kleiber ratio in Limousin and Charolais beef cattle breeds

التفاصيل البيبلوغرافية
العنوان: Heritability and genetic correlation of body weight and Kleiber ratio in Limousin and Charolais beef cattle breeds
المؤلفون: M.P.G. Rezende, C.H.M. Malhado, S. Biffani, J.A. Carrillo-Tabakman, M.C. Fabbri, A. Crovetti, P.L.S. Carneiro, R. Bozzi
المصدر: Animal, Vol 16, Iss 5, Pp 100528- (2022)
بيانات النشر: Elsevier, 2022.
سنة النشر: 2022
المجموعة: LCC:Animal culture
مصطلحات موضوعية: Bayesian inference, Genetic parameters, Growth, Growth efficiency, Metabolic weight, Animal culture, SF1-1100
الوصف: Reducing the environmental impact of livestock production is now indispensable and genetic selection can be of great support for this purpose. Measures that can identify high body growth at low maintenance costs in production animals are particularly useful since resources have been increasingly limited. Therefore, the goal of this study was to estimate genetic parameters for BW and Kleiber ratio (KR) in 210-day-old and 365-day-old Charolais and Limousin breeds. A database comprising animals born from 1999 to 2018 was used in a multitrait model applying Bayesian inference. The heritability for BW is high in Charolais (0.39 and 0.42 for BW210 and BW365, respectively) and moderate in Limousin (0.22), indicating possible genetic gains for BW in both breeds. The genetic variability of KR should also allow satisfactory genetic gains. In addition, the genetic correlation between BW and KR ranged from low to moderate. Thus, selection over KR should have no effects on BW, showing that high body growth can be obtained without changes in efficiency.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1751-7311
Relation: http://www.sciencedirect.com/science/article/pii/S1751731122000799; https://doaj.org/toc/1751-7311
DOI: 10.1016/j.animal.2022.100528
URL الوصول: https://doaj.org/article/b59978aec76c4fd48113bfc1de9f716e
رقم الانضمام: edsdoj.b59978aec76c4fd48113bfc1de9f716e
قاعدة البيانات: Directory of Open Access Journals