INTRODUCTION
⌅In addition to the metabolic heat production (i.e., body heat) by dairy cows which increases in parallel with increased milk yield (Yan et al., 2021), heat is also gained from the environment. In zones with hot weather, constant high ambient temperatures cause an increase in body temperature and induce a physiological response (Hao et al., 2016). In subtropical and tropical regions, an almost constant high ambient temperature, far above the thermoneutral environment of dairy cattle, predominate throughout the year (Li et al., 2020), which reduces milk production of dairy cattle by 40% to 60% respect to temperate conditions (Usman et al., 2013). Furthermore, dairy cows without supplemental cooling activate various adaptive mechanisms to increase the external net energy flow, such as elevated rectal temperatures, respiration rates, skin temperatures, heart rates, and reduced rumination time (Garner et al., 2017; Yan et al., 2021). Thus, ambient temperature is strongly and negatively correlated with production responses (e.g., milk yield, milk temperature, and feed intake) in dairy cows (Amamou et al., 2019; Ji et al., 2020). Air temperature also severely depresses the reproductive performance of cows (Mellado et al., 2013) and weakens the immune system (Bagath et al., 2019), resulting in increasing puerperal diseases with increasing the temperature-humidity index (THI) (Gernand et al., 2019).
An adequate body condition score (BCS) is important for maintaining the health status of dairy cows (Dale et al., 2017). Therefore, optimizing BCS at calving is an essential aspect of the dry period management for improving the subsequent lactation (Zhao et al., 2019), reproductive performance (Bedere et al., 2018), and reducing periparturient diseases (Dubuc et al., 2010; Torres et al., 2020). The recommended acceptable BCS of dairy cows ranges from 2.5 to 3.5 on a 5-point scale to ensure that periparturient health is not compromised (Giuliodori et al., 2013). Unfortunately, despite the existence of various reports on the effect of heat stress and BCS in the transition period on the occurrence of periparturient diseases for several European cattle breeds in temperate zones, not enough efforts have been made so far (at least to our knowledge) to assess these associations in regions with high ambient temperature for most of the year.
Therefore, given that several studies dealing with the effect of BCS at calving for cows reared under different cooling systems on dairy production and metabolic disease incidence are few and sometimes conflicting, the motivation for this study was to quantify the effect of BCS and THI on the occurrence of some calving-derive diseases in high-yielding Holstein cows in a hot environment. Hence, the current study hypothesized that low BCS and high ambient temperature at calving are associated with a higher incidence of retained fetal membranes and metritis in high-yielding Holstein cows. Furthermore, it was hypothesized that increased BCS at calving results in a higher prevalence of clinical ketosis. Therefore, one objective of the current study was to evaluate the associations between BCS at parturition and the occurrence of various calving-derived diseases in multiparous Holstein cows in a hot environment. Additionally, the current study aimed to determine the effect of thermal stress at calving on the occurrence of periparturient illness.
MATERIAL AND METHODS
⌅Animals, feeding, and facilities
⌅Cows used in this study were handled following the guidelines defined by the ‘Guide for Care and Use of Agricultural Animals in Research and Teaching’ (https://www.fass.org/images/science-policy/Ag_Guide_3rd_ed.pdf). Likewise, this study was authorized by the Autonomous Agrarian University Antonio Narro Animal Care Advisory Committee (approval number 5-5-30-38111-4250-3001-2419).
Holstein cows from a single commercial dairy farm (≈4500 milking animals) in northern Mexico (25° N, elevation 1145 m, mean annual rainfall 234 mm, mean annual temperature 23.7 ºC) were included in this study. Cows were housed in open dirt pens with adequate shade.
Cows were fed a total mixed ration (TMR) based on alfalfa hay, corn silage, and grain concentrate (cottonseed meal, soybean meal, corn grain, and a mineral premix) twice daily in approximately equal quantities at two meals, at ≈08:00 and 16:00 hours. The forage-to-concentrate ratio was 50:50, and this ration met the requirements of fresh Holstein cows weighing 650 kg and producing 38 kg of 3.5% fat-corrected milk (NRC, 2001). TMR was subsequently adjusted according to milk production (0–30, 30–150, 150–210, and 210 to ≥305 days in milk). Cows were given ad libitum access to water and were fed ad libitum with about 5% feed refusal; the residual feed was removed at 07:00 h every day.
On the day of calving, cows received a calcium bolus containing calcium formate, calcium propionate, calcium chloride, magnesium chloride, calcium gluconate, potassium chloride, magnesium sulfate, copper sulfate, potassium iodide, 1-2 propanediol, nicotinamide (Calcibol®, Nutrilag, Gomez Palacio, Durango, Mexico). Also, on the day of calving, cows received 300 mL of propylene glycol. Cows were milked three times daily at 01:00, 09:00, and 17:00 h. BCS (1 to 5 scale, 0.25 points increment; Ferguson et al., 1994) was evaluated at calving by the same trained observer.
Study design and disease recording
⌅This retrospective observational cohort study included 12,102 lactations from January 2017 to December 2021. The dairy farm veterinarian diagnosed puerperal metritis starting at day 4 until 20 after calving; cows were monitored for puerperal metritis twice weekly by recording the thickness of the uterine wall by rectal palpation and the observation of abnormal vaginal secretion associated with watery purulent reddish-brownish fetid vaginal discharge containing flecks of pus within the first 15 d postpartum (Sheldon et al., 2006). Retained placenta (RP) was diagnosed based on the presence of fetal membranes protruding from the vulva for over 24 h after calving. Clinical ketosis was diagnosed by the herd veterinarian based on reduced milk yield, decreased feed intake, and loss of body condition associated with a positive urine strip test for ketone bodies (Ketostix®, Bayer Mexico, CDMX, Mexico). Based on these signs, ketosis was deemed clinical. Using the first streams of milk from all quarters, the California mastitis test was used regularly to detect clinical mastitis. Results were recorded as 0 (negative), trace (slight reaction), 1 (mild reaction), 2 (moderate reaction), or 3 (strong reaction).
Climatic data were obtained from a meteorological station located 2.5 km away from the dairy operation for the duration of the study. Information registered was daily maximum temperatures and relative humidity. The air temperature was recorded with a mercury thermometer under full shade and 1.5 m above the ground. This information was used to calculate the daily temperature-humidity index (THI), using the following equation (highest daily temperature in Celsius degrees; RH refers to maximum relative humidity):
THI = (0.8 × temperature) + ((% RH/100) × (temperature − 14.4)) + 46.4.
Following the THI categories proposed by Collier et al. (2012), THIs are classified as thermoneutrality (THI < 72), mild-moderate heat stress (72 < THI < 79), moderate-severe heat stress (82 = THI < 89), and severe heat stress (THI > 90).
Statistical analysis
⌅Logistic regressions were performed using the LOGISTIC procedure in SAS (SAS Inst. Inc., Cary, NC, USA) to assess the effects of thermal condition at calving THI at calving < 82 vs > 82 units) and body condition score at parturition (< 3.5 vs ≥ 3.5 units) on the presence or absence of RP, puerperal metritis, clinical ketosis, and mastitis. Initially, a multivariable logistic regression was performed to model the effects of thermal stress, BCS at calving, and the thermal stress × BCS interaction, with the individual animal as the observational unit. Given that thermal stress × BCS interaction was non-significant, this term was deleted, and univariate logistic regressions were performed to assess the effect of single independent variables to estimate odds ratios and 95% confidence intervals, incorporating lactation number as covariate. The association between various THI at calving and the prevalence of periparturient diseases was assessed using the CurveExpert Professional 2.5.6 software (Hyams Development, Madison, AL, USA). The same procedure was used to evaluate the association between different BCS scores at calving and the prevalence of the studied diseases. Values with p < 0.05 were regarded as statistically significant for all statistical analyses.