Multiple regression analysis was used to develop prediction equations for lifetime milk revenue from Holstein cattle in the Canadian maritime region. First lactation 305 day protein yield was a notable predictor of lifetime milk revenue in three of the four prediction equations with different definitions of value of lifetime product. Discrepancies were detected between the ideal values established by the breed association and those observed in this study for two conformation traits (foot angle and udder texture). Value of lifetime product and discounted value of lifetime product were easier to calculate and present and thus more desirable as measures of lifetime milk revenue
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume 23: Opening: plenary; technology; transfer; beef cattle; dairy cattle; pigs., , 375–378, 1998
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