Predicting cattle age from eye lens weight and nitrogen content, dentition, and United States Department of Agriculture maturity score

Autor: C R, Raines, M E, Dikeman, J A, Unruh, M C, Hunt, R C, Knock
Rok vydání: 2008
Předmět:
Zdroj: Journal of animal science. 86(12)
ISSN: 1525-3163
Popis: This research explores the relationship between generally accepted and alternative cattle age-prediction methods and chronological age. Cattle (n = 386) of documented ages ranging from 370 to 1,115 d of age were used. Dentition (DEN), USDA maturity score (MS), lens weight (LW), and lens total N (LN) content were used as possible predictors of age. Correlations with age were determined: LW (r = 0.77); DEN (r = 0.74); LN (r = 0.71); and MS (r = 0.64). Stepwise backward regression was used to generate an age prediction equation: Age (mo) = -21.79 + 17.23(LW, g) + 0.038(DEN). By this equation, 38% of cattle/= 20 mo of age were verified as/= 20 mo of age. Independent measures verified the following percentages of cattle as/= 20 mo of age: LW (20.2%), MS (11.0%), DEN (9.6%), and LN (8.7%). The DEN verified that 87.6% were verified as30 mo old, and LW verified 81.6% of cattle as30 mo old. A separate group of cattle (n = 18) ranging in age from 1 to 12 yr were evaluated for lens properties, for which LW (R(2) = 0.91) and LN (R(2) = 0.92) were highly correlated with age. The LW and DEN were the best predictors of age for cattle 13- to 37-mo-old and yielded the most accurate age prediction when used in combination (R(2) = 0.67).
Databáze: OpenAIRE