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* Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville 32610-0136
Department of Population Health and Reproduction, University of California, Davis, Veterinary Medicine Teaching and Research Center, Tulare 93274
1 Corresponding author: dmoore{at}vmtrc.ucdavis.edu
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Key Words: preparturient dairy cow cooling heat stress
Heat stress, defined as the point when heat gain of the cow overcomes the amount of heat loss (Shearer and Beede, 1990b), has important consequences for animal welfare and performance, and has been implicated as the most important reason for lower milk production during summer (Armstrong, 1994; Silanikove, 2000). Previous research targeted prevention (Silanikove, 2000) of heat stress in lactating cows and the application of cooling systems for lactating cows, which minimizes decreases in milk production during summer (Igono et al., 1985; Her et al., 1988; Verbeck et al., 1996; Thompson et al., 1999).
Little is known about the effects of cooling preparturient dairy cows during the last 3 wk of gestation on subsequent milk production and health. The 3-wk period before parturition is an important period because fetal growth is most rapid around this time (Shearer and Beede, 1990a); birth weights of calves from cows exposed to heat stress are lower than those from non-heatstressed cows (Collier et al., 1982b; Wolfenson et al., 1988). Initiation of milk synthesis takes place during the prepartum period, and could be affected by hormonal alterations caused by heat stress (Collier et al., 1982b; Ingvartsen and Andersen, 2000). Heat stress also reduces feed intake when temperatures are above 25 to 27°C, with a marked impact above 30°C (NRC, 1981), which could influence tissue mobilization. Concentrations of NEFA in blood normally increase during the final days before parturition (Bertics et al., 1992). Concentrations of NEFA below 0.325 mEq/L in blood may indicate a positive energy balance in the preparturient dairy cow; cows between 14 and 2 d before calving with blood NEFA concentrations >0.400 mEq/L are likely to be in negative energy balance (Cameron et al., 1998). Based on these observations, prepartum heat stress could influence milk production in the subsequent lactation as well as energy balance in the prepartum period.
The objectives of this study were to compare the effects and economics of ancillary cooling (sprinklers, fans, and shades) vs. feedbunk sprinklers alone for 3 wk before parturition on risk for postparturient disorders, postparturient milk production, and adipose tissue mobilization. Study cows were enrolled on a central California, high-producing, commercial, 3,000-cow Holstein dairy herd with a rolling herd average of approximately 10,045 kg/yr, and an average daily milk production of 34.5 kg/cow. Lactating cows were milked twice daily in a double-24 herringbone-type parlor and housed in freestall barns with approximately 216 cows per pen. Preparturient cows were housed in dry lots with shades in the lounging area. The vaccination program was typical for dairies in the region. A TMR supplemented with acidogenic salts and a lactating cow TMR were fed once daily during the immediate preparturient and the postparturient periods, respectively. The rations were formulated to meet the requirements for these groups according to guidelines established by the National Research Council (NRC, 2001).
Two identically structured pens were used, each measuring approximately 118 m long by 45 m wide and containing permanent shade structures in the lounging areas (Figure 1
). The feed lanes, with self-locking stanchions, faced east. Sprinklers were in place over the feed bunk in 1 pen (S pen) with 75 stanchions. In the intervention pen that contained 70 stanchions, fans and shades were placed over the feed bunk in addition to the feedbunk sprinklers (SFS pen). The system of sprinklers was set over the stanchions on the east side of the 2 pens. Low-pressure nozzles were mounted 1.7 m above the pen surface, spaced 1.5 m apart, and delivered approximately 1.4 to 1.8 L/min.
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Between June 20 and September 12, 2002, 524 non-lactating Holstein cows were randomly allocated to 1 of the 2 pens at a rate of approximately 40/wk. All cows were entering their second or greater lactation and between 250 to 257 d pregnant at enrollment (based on farm records). Cows were required to spend a minimum of 14 d in their assigned pen before parturition for their data to be analyzed. Each cow was monitored for 60 d after parturition. A sample size of 216 cows per cooling group was calculated by establishing an expected difference in milk production of 2.3 kg/d in milk between the SFS and S pens based on previously published work (Wolfenson et al., 1988) using a level of significance of 0.05 and 80% power. An average milk production of 31.8 kg (SD = 11.4 kg) was obtained by using milk production estimates from the previous summers first monthly milk production for multiparous cows from DHIA records of the herd. An additional 10% for potential loss to follow up was added, increasing the sample sizes to 238 cows per group. After parturition, all cows were housed together in the lactating group and managed under identical conditions.
Ambient temperature and relative humidity (RH) were recorded every 30 min by computerized data recorders (HOBO H8 Pro Series H08-032-08, Onset Computer Corp., Bourne, MA), operated by a computer software program (BoxCar Pro 4.0 Starter Kit, Onset Computer Corp.). Temperature and RH accuracy were within ± 0.2°C and ±3%, respectively. Two recorders, one in each pen, were set at a height of 1.4 m and centralized on a back rail over the concrete pen surface (Figure 2
) and recorded data from June 20 to October 20, 2002. The equation used to calculate temperature-humidity index (THI) in this study was: THI = td (0.55 0.55 RH/100) (td 58), where td is the dry bulb temperature (in °F) and RH is relative humidity expressed as a percentage (NOAA, 1976). For each 24-h period, average THI was calculated using average ambient temperature and average RH. The number of preparturient days a cow spent with a daily average THI > 72 was calculated to reflect the heat-stress duration. The proportion of each cows preparturient days under heat stress was calculated from the days each cow spent over a THI of 72 divided by the total days in the pen.
Health and production information were gathered on-farm. Cows were body condition scored (Ferguson et al., 1994) at the time of enrollment (movement into the preparturient pen), at parturition, and at approximately 60 DIM. Three trained farm personnel diagnosed all postparturient disorders. Retained placenta was defined as the presence of fetal membranes visible at the vulva for more than 24 h after calving (Kelton et al., 1998). Metritis was defined as the presence of visual or olfactory appreciation of a fetid serosanguineous discharge during the first 10 d after calving (Overton et al., 2003). The diagnosis of milk fever was based upon the cows inability to rise within 72 h of calving, with successful correction after administration of an i.v. calcium solution (Deluyker et al., 1991). Displaced abomasum was defined by the detection of a high-pitched ping between the 9th and 12th ribs at the level of the paralumbar fossa in the left or right abdominal wall (Kelton et al., 1998). Occurrences of postparturient disorders were recorded daily during the length of the study. Milk yield was evaluated at approximately 15-d intervals for the first 60 DIM under DHIA testing procedures (Kings County DHI, Hanford, CA).
Aseptic blood samples were drawn from the median coccygeal vein twice weekly for 3 wk before parturition approximately 30 min after feeding on d 18, 14, 11, 7, 4, and 1 before expected parturition from a subsample of 98 cows (S, n = 47; SFS, n = 51). Five hundred eighty-eight serum samples were handled and subsequently analyzed for NEFA concentration using previously described methods (Johnson and Peters, 1993). Average intraassay coefficient of variation was 3.67%.
Body condition scores (rank values) and BCS changes were compared between treatments using the KruskalWallis nonparametric test. Two BCS changes were calculated: 1) BCS at parturition from BCS at prepartum enrollment, and 2) BCS at 60 DIM from BCS at parturition. Significant BCS loss in the preparturient period was defined as a loss of BCS >0.25 units between enrollment and parturition. Significant BCS loss after parturition was defined as a loss of >0.25 units of BCS between parturition and 60 DIM.
Each postparturient disease occurrence was expressed as lactational incidence risk; the percentage of cows experiencing a disorder within 60 DIM (Grohn et al., 1990; Rajala and Grohn, 1998).
2 Analysis and the Fisher Exact Test were used to compare differences in postparturient disorders from S and SFS treatments.
Total milk production, as calculated from early lactation curves for each cow, was modeled for group effects. Milk production data from cows with at least 3 milk weights before 60 DIM (n = 305) were fitted using the quadratic formula: Milk yield Y = µ + DIM + DIM2, where DIM = days in lactation at each test. The equation was integrated and the total area under the curve (total milk yield) within the first 60 DIM was estimated for each cow. The 60-d milk yield was analyzed using a GLM (PROC GLM in SAS; SAS Institute, Inc., Cary, NC) with treatment as class. The full model was:
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where GROUP = additional cooling or not; LCTGP = 1, 2, or >2 lactations; DIM = days in lactation; PPD = postpartum disease (yes/no); DINCUC = days spent in the prepartum pen; CUWTLOSS = loss of 0.25 BC between movement to the prepartum pen and parturition (i = 0); FRWTLOSS = a loss of more than 0.25 BCS between parturition and 60 DIM (i = 1) or a loss of 0.25 BCS or less (i = 0), and where HEATSTRESSDAYS = total number of days spent under THI > 72 in the prepartum pen, PROPSTRESS = proportion of prepartum days spent under THI > 72.
Data on serum NEFA concentrations were analyzed using a mixed model with unstructured covariance. In PROC Mixed in SAS, the specific mixed model was as follows: Y = µ + GROUPi + PERIODJ, where GROUP = treatment (i = S and SFS) and PERIOD = days before expected parturition (j = 18, 14, 11, 7, 4 or 1). For all tests, P < 0.05 was considered significant.
Two hundred thirty-six and 239 cows spent at least 2 wk in the S pen and SFS pen, respectively. Forty-nine of the original 524 enrolled cows were excluded because they spent fewer than 14 d in the treatment pens (n = 26); aborted, died or were culled before completion of the treatments (n = 9); or were in the treatment pens after the cooling system was removed (n = 14). The 2 groups were similar for previous 305-d mature equivalent milk production, BCS at enrollment, average days in the preparturient pen, and lactation group distribution (P > 0.34).
A total of 5,136 temperature and humidity recordings were analyzed. Mean environmental temperatures (± SD) during the studied period were 26.4 ± 7.2°C and 25.1 ± 8.6°C for the S and SFS pens, respectively. Ambient temperature above 25 to 26°C may limit reproductive performance and milk yield (Berman et al., 1985). Mean THI (± SD) during the study was 71.7 ± 10.7 and 70.7 ± 9.3 for the S and SFS pens, respectively (Figure 3
). A THI value greater than 72 is considered an indication of heat stress in cattle (Johnson, 1987) and can lower milk yield by 0.2 kg/d per unit of THI above 72 in lactating cows (Ravagnolo et al., 2000). Cows in treatment S spent a greater proportion of their preparturient days under heat stress than did cows in the SFS treatment (60 vs. 48%; P = 0.0003).
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Overall, lactational incidence risks for retained placenta, milk fever, and displaced abomasum were consistent with reported frequencies of these disorders (Kelton et al., 1998; Rajala and Grohn, 1998; Rajala-Schultz et al., 1999). Lactational incidence risk of metritis was low in our study, at 1.7%. In a meta-analysis, reported ranges for metritis were 2.2 to 37.3% (Kelton et al., 1998). Metritis may have been truly low or, more likely, was under-reported. For cows in SFS and S, the proportion that developed retained placenta (2.3 vs. 2.7%), metritis (1.1 vs. 0.6%), milk fever (0.8 vs. 0.8%), and displaced abomasum (0.6 vs. 1.1%) was not significantly different.
Serum NEFA concentrations increased between d 18 and d 1 prepartum, similar to reports for normal preparturient dairy cows (Bertics et al., 1992; Kaneene et al., 1997; Holcomb et al., 2001; Rabelo et al., 2003). Least squares means for serum NEFA at d 18 to d 1 before parturition ranged from 0.086 to 0.390 mEq/L. Average (± SEM) concentration and the range of concentration for the S treatment were 0.171 ± 0.02 mEq/L and 0.020 to 1.44 mEq/L, respectively. Serum NEFA concentration for the SFS treatment averaged 0.199 ± 0.02 mEq/L and ranged from 0.022 to 1.54 mEq/L. The method of cooling of prepartum cows had no apparent effect (P = 0.29) on serum concentrations of NEFA, consistent with previous work (Collier et al., 1982a).
Using area-under-the-curve estimates of total milk production for the first 60 DIM from 304 cows with at least 3 tests before 60 DIM, cows in the S group produced less (P = 0.04) milk than cows in the SFS group (Table 1
), with least squares mean estimates of 2,324 kg for the S group and 2,408 kg for the SFS group. Neither BCS loss before or after calving, presence of postpartum disease, total prepartum days spent under heat stress, nor proportion of prepartum days spent under heat stress were associated with 60-d total milk production.
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| ACKNOWLEDGEMENTS |
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Received for publication July 9, 2005. Accepted for publication December 7, 2005.
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