Genetic parameters for milk fatty acid composition of Holstein in Korea

Autor: Chan Hyuk Park, Umanthi Ranaraja, Chang Gwon Dang, Jong Joo Kim, Chang Hee Do
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Asian-Australasian Journal of Animal Sciences, Vol 33, Iss 10, Pp 1573-1578 (2020)
Druh dokumentu: article
ISSN: 1011-2367
1976-5517
DOI: 10.5713/ajas.19.0820
Popis: Objective Milk fatty acid (FA) is a main nutritional component that markedly effects human health. Intentional modification of the FA profile has the potential to improve milk quality. This study aimed at the factors affecting elevated FA levels and the estimation of the genetic parameters for milk FAs in the Korean Holstein population. Methods Total 885,249 repeated test-day milk records including, milk yield, saturated fatty acids (SFA), polyunsaturated fatty acids (PUFA), monounsaturated fatty acids (MUFA), total unsaturated fatty acids (TUFA), fat and protein percentages were analyzed using CombiFoss FT+ system (Foss Analytical A/S, Denmark). Genetic parameters were estimated by the restricted maximum likelihood procedure based on the repeatability model using the Wombat program. Results The FA profile varies along with the lactation and the energy balance (EB). With the negative EB in early lactation, mobilization of body fat reserves elevates the desirable FA levels. As a result of that, milk quality is increased by means of nutritionally and usability aspects during the early lactation. Moreover, heritability estimates for SFA, MUFA, PUFA, TUFA were 0.33, 0.42, 0.37, 0.41 respectively. According to the parity wise heritability analysis, first parity cows had relatively lower heritability for SFAs (0.19) than later parities (0.28). Conclusion Genetic parameters indicated that FAs were under stronger genetic control. Therefore, we suggest implementing animal breeding programs towards improving the milk FA profile.
Databáze: Directory of Open Access Journals
Externí odkaz: