Blood lactate and rectal temperature can predict exit velocity of beef feedlot steers. Issue 4 (2nd August 2019) - Williams, Andrew F
Abstract: Interest in beef cattle temperament has increased due to growing consumer awareness of animal welfare and increased concern for handler safety. Temperament measures are based on behavioral responses to a perceived stressor. Subjective chute scoring has been used to give a numeric value to temperament; however, the subjectivity and variability among observers have been questioned. To deal with the perceived subjectivity and variability, other researchers have used exit velocity. Researchers have related faster exit velocities to increased cortisol and plasma lactate. The objectives of this study were to compare temperament between feedlot steers and heifers and to confirm chute side measures of temperament relationship to physiological responses to stress. Body temperature, blood and plasma lactate, serum glucose, salivary and serum cortisol concentrations were measured on Bos taurus commercial crossbred feedlot cattle ( n = 197). Fast, medium, and slow classifications were developed from exit velocities. Plasma lactate was significantly different between all exit velocity classes. Exit velocity and physiological measures indicated that heifers were more excitable (faster exit velocities ( P = 0.003), higher plasma lactate concentrations ( P = 0.03), and cortisol concentrations ( P = 0.001)). Simple correlations among these variables indicated body temperature (heifers r = 0.44, P < 0.0001; steers r = 0.45, P < .0001), plasma lactate (heifers r = 0.52, P < 0.0001; steers r = 0.63, P < 0.0001), blood lactate (heifers r = 0.53, P < 0.001; steers r = 0.59, P < 0.001), and glucose (heifers r = 0.54, P < 0.001; steers r = 0.32, P <0.003) were all related to exit velocity. Cortisol measures were not correlated to exit velocity in steers but were in heifers. Linear models constructed and evaluated using the Akaike information criterion indicated that blood lactate in combination with rectal temperature were strong candidates to predict exit velocity. Using the discriminate function analysis, the model correctly categorized fast and slow classifications 69.23% and 61.54%, respectively, indicating that in combination measures of body temperature and blood lactate can potentially increase accuracy of temperament identification or replace exit velocity as a measure of temperament. The plasma lactate and rectal temperature have the potential to become strong objective measures to augment or replace exit velocity.