ABSTRACT
Linear discriminant functions hold promise for identifying either protein-deficient or cold-stressed calves based on blood constituents. For each of 2 yr 60 artificially bred Angus heifers were assigned randomly to a 2 x 2 factorial nutritional plan consisting of .32 or .96 kg/d of maternal CP and 8.7 or 12.2 Mcal/d of ME. The calves from these heifers were assigned randomly to environmental chambers set at either 0 or 21 degrees C in a repeated measures design. Linear discriminant functions were computed for 1 yr (training data) and then used to predict the classification of calves for the other year (validation data). Using the original data, the correct classifications of calves to the protein groups were 96, 80, 60, 59, 54, and 51% for blood samples obtained at 0, 12, 24, 36, 48, and 72 h of age, respectively. Using normalized data, corresponding correct classifications to protein groups were 94, 91, 80, 56, 54, and 52%. Results indicate that protein classification should use blood samples obtained within 12 h of age for reasonable success. For cold-stressed calves, correct classifications using original data were 47 (pre-exposure), 72, 54, 70, 67, and 66% for calves at 0, 12, 24, 36, 48, and 72 h of age, respectively. Corresponding correct classifications using normalized data were 54 (pre-exposure), 74, 70, 72, 69, and 77%. Cold stress could be detected after only 12 h of exposure; the time window for testing was much wider than for protein classification, but the classification generally was less discriminative.