34Irish dairy farmers are expanding in preparation for a new era of unrestricted milk 35 production with the elimination of EU milk quotas in 2015. Countries experiencing a changing 36 agricultural demographic, including farm expansion, can benefit from documenting the 37 implementation of on-farm biosecurity. The objectives of this study were to document and 38 describe influences on biosecurity practices and related opinions on commercial Irish dairy farms. 39A telesurvey was carried out, a response rate of 64% was achieved, and participants were 40 shown to represent the national population. A 20% discrepancy was recorded between self-41 declared closed herds and those actually closed based on official records, indicating a lack of 42 understanding of the closed herd concept. Over 72% of farmers surveyed considered biosecurity 43 important, but 53% stated that a lack of information might prevent them from improving 44 biosecurity. Logistic regression highlighted regional, age, and farm-size related differences in 45 biosecurity practices and opinions. Regional differences existed with regard to implementation 46 of certain biosecurity practices with the most dairy cattle dense region three times more likely 47 than the least dense region to always quarantine purchased stock (P=0.012) . Younger farmers, 48 in general, were over twice as likely than middle-aged farmers to have intent to implement 49 biosecurity guidelines (P=0.026). Large Irish dairy farmers were almost five times more likely to 50 join a voluntary health scheme (P=0.003), and were over three times more likely to pay a 51 premium price for such cattle (P=0.02) than the smallest farmers. The baseline data recorded in 52 this study can form the basis for more detailed sociological and demographic research which can 53 further characterise biosecurity training opportunities within this farming community. 54 55

A potential control strategy for nematode infection in sheep is the implementation of a breeding programme to select for genes associated with resistance. The Texel breed is more resistant to gastrointestinal nematode infection than the Suffolk breed, based on faecal egg count, and this difference should enable the identification of some of the genes responsible for resistance. The objective of this study was to determine if variation at the ovine MHC-DRB1 locus was associated with variation in faecal egg count in Suffolk and Texel sheep. Ovar-DRB1 alleles and faecal egg count were determined for Texel (n = 105) and Suffolk (n = 71) lambs. Eight Ovar-DRB1 alleles, including 1 previously unknown allele, were identified in the Texel breed by sequence-base-typing. Seven Ovar-DRB1 alleles were identified in the Suffolk breed. Two Ovar-DRB1 alleles were common to both breeds, but were among the least frequent in the Suffolk population. In the Suffolk breed 1 Ovar-DRB1 allele was associated with a decrease in faecal egg count and 2 alleles with an increase in faecal egg count. This locus accounted for 14% of the natural variation in faecal egg count in Suffolks. There was no evidence for an association between Ovar-DRB1 alleles and faecal egg count in the Texel breed and the Ovar-DRB1 locus accounted for only 3% of the phenotypic variation in faecal egg count. These results suggest that the Ovar-DRB1 gene plays an important role in resistance to nematode infection in the Suffolk breed. The difference in faecal egg counts between these breeds may be attributable in part to the different allele profile at the Ovar-DRB1 locus.

An observational study was conducted on dairy calves (51 healthy, 31 with neonatal diarrhea) during outbreaks of diarrhea on 4 dairy farms. Clinical assessment scores (CAS) were assigned to each healthy and diarrheic calf [from 0 (healthy) to 4 (marked illness)]. Blood gas analysis [pH, base excess (BE), Na(+), K(+), Ca(2+), Cl(-), glucose, total hemoglobin, standard HCO3(-), strong ion difference (SID), and anion gap (AG)] was completed for each calf. Repeated measurements were taken in healthy animals, and pre- and postintervention measurements were taken for diarrheic calves. The mean CAS of diarrheic calves was 1.7, with 51, 30, 17, and 2% of calves scoring 1, 2, 3, and 4, respectively. The mean value for blood pH, BE, AG, and SID was 7.26, -4.93mM, 16.3mM, and 38.59mM, respectively. Calves were administered an oral rehydration and buffering solution (ORBS; Vitalife for Calves, Epsilion Ltd., Cork, Ireland) and reassessed. The mean CAS decreased to 0.38 (65% of calves scored 0 and 35% scored 1) at 6 to 18h posttreatment and to 0.03 (98% of calves scored 0 and 2% scored 1) within 24 to 48h. Significant increases in mean value for pH, BE, HCO3(-), Na(+), and SID, and significant decreases in AG, K(+), Ca(2+), and total hemoglobin were recorded posttreatment. The correlation estimates indicated that pH, HCO3(-), and BE were strongly correlated with CAS, with values exceeding 0.60 in all cases. Administration of an ORBS with a high SID and bicarbonate buffer demonstrated rapid recovery from a diarrheic episode in dairy calves.

Calf mortality and morbidity commonly occurs within the first month of life postpartum. Standard health ranges are invaluable aids in diagnostic veterinary medicine to confirm normal or the degree and nature of abnormal parameters in (sub)clinically ill animals. Extensive research has indicated significant differences between the physiologies of neonate and adult cattle, particularly for blood parameters such as pH, base excess, anion gap, and bicarbonate (HCO). The objective of this research was to determine the influence of age, sex, and breed type, in addition to environmental factors, on the normal blood gas profiles of neonatal calves, and thus develop a scientifically validated reference range accounting for any significant factors. The study was conducted on healthy neonatal calves (n = 288), and completed over a 2-yr period. Individual calf blood gas analysis was conducted for parameters of pH, base excess, Na, K, Ca, Cl, glucose, total hemoglobin, HCO, pCO, anion gap, strong ion difference, and hematocrit levels. Regression procedures examined the combined effect of year, farm, age, breed type, sex, and hours postfeeding on each variable. Significant effects were observed for age, sex, and breed type on several of the blood gas variables. Furthermore, year, farm, and hours postfeeding appeared to have less of an influence on neonatal bovine blood gas profiles. Consequently, specific ranges based on the neonate's age, sex, and breed type will allow for more detailed and accurate diagnosis of health and ill health in neonatal calves.