Genetic prediction for first-service conception rate in Angus heifers using a random regression model.

Autor: Sánchez-Castro, Miguel A, Thomas, Milton G, Enns, R Mark, Speidel, Scott E
Předmět:
Zdroj: Translational Animal Science; 2020 Supplement, Vol. 4, pS43-S47, 5p
Abstrakt: The article evaluates the efficacy of a random regression model (RRM) genetic prediction for heifer first-service conception rate (FSCR). The resulting expected progeny differences (EPD) to those obtained using a traditional animal threshold model (ATM) are compared. Topics discussed include heifer pregnancy in Red Angus cattle, artificial insemination, and FSCR at different ages of insemination.
Databáze: Complementary Index