Fifteen mature horses (mares, n = 6); geldings, n = 9) were used to assess the physiological responses of 24 h of transport in a commercial van under California summer conditions. The study was conducted on four consecutive days, and data were collected on d 1 and d 2 to obtain baseline values and to determine any diurnal variation in the individual measurements. Travel commenced on d 3 at 0800 for 24 h, with a total of 1,622 km traveled. Blood samples were collected at 0800, 1100, 1400, 2000, and 0200 each day. Horses were weighed and rectal temperatures recorded at 0800 each day and at 2000 each day except d 3. Body weight, rectal temperature, serum cortisol, serum lactate, and white blood cell (WBC) counts exhibited diurnal variation (P = .0001) on d 1 and d 2. Body weight immediately after unloading showed a 6% loss. At 24 h following transit, a 3% deficiency in body weight loss remained. The WBC counts showed a progressive increase with duration of travel and peaked at the termination of transport. Dehydration measures of hematocrit and total protein increased during transport and returned to baseline during the posttransport period. Serum concentrations of lactate, creatine kinase and aspartate aminotransferase increased during transport and in the early posttransit period, but returned to baseline values at the conclusion of the 24-h posttransport period. Glucose concentration increased with the initiation of transport and did not decrease to baseline concentration at the end of the 24-h posttransport period. Plasma cortisol and neutrophil:lymphocyte ratio increased with duration of transit and returned to baseline during the posttransport period. These data clearly showed physiological responses of horses undergoing 24 h of transport including changes in muscle metabolism, stress indices, dehydration and immune parameters, and body weight. These responses may increase disease susceptibility and influence energy availability for athletic performance following long-term transport of horses.

Transport losses (dead and nonambulatory pigs) present animal welfare, legal, and economic challenges to the US swine industry. The objectives of this review are to explore 1) the historical perspective of transport losses; 2) the incidence and economic implications of transport losses; and 3) the symptoms and metabolic characteristics of fatigued pigs. In 1933 and 1934, the incidence of dead and nonambulatory pigs was reported to be 0.08 and 0.16%, respectively. More recently, 23 commercial field trials (n = 6,660,569 pigs) were summarized and the frequency of dead pigs, nonambulatory pigs, and total transport losses at the processing plant were 0.25, 0.44, and 0.69% respectively. In 2006, total economic losses associated with these transport losses were estimated to cost the US pork industry approximately $46 million. Furthermore, 0.37 and 0.05% of the nonambulatory pigs were classified as either fatigued (nonambulatory, noninjured) or injured, respectively, in 18 of these trials (n = 4,966,419 pigs). Fatigued pigs display signs of acute stress (open-mouth breathing, skin discoloration, muscle tremors) and are in a metabolic state of acidosis, characterized by low blood pH and high blood lactate concentrations; however, the majority of fatigued pigs will recover with rest. Transport losses are a multifactorial problem consisting of people, pig, facility design, management, transportation, processing plant, and environmental factors, and, because of these multiple factors, continued research efforts are needed to understand how each of the factors and the relationships among factors affect the well-being of the pig during the marketing process. In 1933 and 1934, the incidence of dead and nonambulatory pigs was reported to be 0. 08 and 0.16%, respectively. More recently, 23 commercial field trials (n = 6,660,569 pigs) were summarized and the frequency of dead pigs, nonambulatory pigs, and total transport losses at the processing plant were 0.25, 0.44, and 0.69% respectively. In 2006, total economic

Two experiments were conducted to determine the response of blood glucose, insulin and cortisol levels to four common equine diets. Experiment 1 was designed to determine the diurnal variation of glucose and two glucoregulatory hormones, insulin and cortisol, in four fasting geldings. No diurnal variation was observed in either glucose or insulin levels during the 24-h sampling period. However, cortisol levels did exhibit a circadian rhythm, with elevated values observed in the morning and low values in the evening. Experiment 2 investigated the response of glucose, insulin, cortisol and selected amino acids to four isoenergetic equine diets. Four 2-yr-old quarter horse geldings were used in a Latin square design. Pelleted isoenergetic diets were composed as follows on a digestible energy basis: 100% alfalfa (diet A), 50% alfalfa and 50% corn (diet AC), 100% corn (diet C) and 90% corn and 10% corn oil (diet CO). A single meal was fed after an overnight fast. Blood samples were taken via a jugular catheter from 0800 to 1700 h. Analysis of variance by repeated measures and mean response area for glucose showed no difference between diets. However, postprandial peak glucose levels were elevated (P less than 0.01) over prefeeding levels in diets AC and C. Analysis of variance by repeated measures and mean response area for insulin showed differences (P less than 0.05) between diets. Cortisol showed no meal-related responses to any of the diets within its expected circadian rhythm.

Dairy cattle spend less time lying and show signs of increased stress when housed in rainy and windy conditions, but no work has separated the effects of exposure to inclement weather from muddy conditions underfoot. Our objective was to evaluate the effects of muddy conditions alone on lying behavior, hygiene, and physiological responses. We housed pairs of pregnant, nonlactating dairy cattle (n = 12; 6 primigravid heifers, 6 multiparous cows) in enclosed pens with dirt floors and a concrete feed apron. Cattle were exposed to 3 levels of soil moisture: 90 (dry), 74 (muddy), or 67% (very muddy) dry matter for 5 d each in a replicated 3 × 3 Latin square design. Lying time was measured on all days with data loggers, and lying locations and postures were recorded on the final day of each treatment. Before and after each treatment, blood samples were collected, and the percentage of dirty surface area was measured on the udder, hind leg, and side of each animal. Cattle spent less time lying down in muddier conditions, especially in the first 24 h of exposure, when cows and heifers spent only 3.2 and 5.8 h, respectively, lying down in the muddiest treatment compared with 12.5 and 12.7 h on dry soil. When the soil was dry, cattle never chose to lie down on concrete, but in muddier conditions they spent a greater proportion of their lying time on concrete (mean ± SE: 56 ± 14 and 10 ± 8% in the very muddy and muddy treatments, respectively). The shift in lying location was more marked for heifers, and all 6 spent ≥87% of their lying time on concrete in the muddiest treatment. When cattle chose to lie down on wetter soil, they limited the surface area exposed to their surroundings by tucking their legs beneath their bodies (mean ± SE: 30 ± 11, 15 ± 4, and 5 ± 2% of lying observations in the very muddy, muddy, and dry treatments, respectively). Despite cattle spending less time on wetter soil, all 3 measured body parts became dirtier in muddier conditions (1.4-, 1.6-, and 1.8-fold more on the leg, udder, and side, respectively, in the muddiest compared with the driest treatment). In addition, higher soil moisture levels resulted in greater reductions in white blood cell counts relative to baseline levels (-0.95, -0.43, and 0.34 × 10/L relative to baseline levels in the very muddy, muddy, and dry treatments). Muddy conditions, even in the absence of wind or rain, are aversive for cattle and have negative implications for their welfare.

Many factors contribute to the well-being of calves on the commercial dairy including housing and environment; nutritional and health programs; handling and caretaker interactions; herd dynamics; and the common management practices of transportation, euthanasia, dehorning, and teat removal. Ensuring and assessing the welfare of calves on commercial dairies is a complex challenge, especially because the terminology and factors contributing to assessing animal welfare in agricultural animals, such as dairy calves, has not been clearly defined within the scientific community.