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Research Article| Volume 97, ISSUE 11, P6955-6963, November 2014

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Cardiac responses to palpation per rectum in lactating and nonlactating dairy cows

Open ArchivePublished:September 06, 2014DOI:https://doi.org/10.3168/jds.2014-8327

      Abstract

      Interest in the monitoring of heart rate variability (HRV) has increased recently, as it gives more detailed and immediate information about the level of stress than traditional behavioral or hypothalamus-pituitary-adrenal measures. In this study, we evaluated heart rate (HR) and parasympathetic HRV parameters to monitor cardiac stress responses to palpation per rectum (PPR) in lactating (LACT; n = 11) and nonlactating (NLACT; n = 12) dairy cows. Heart rate and HRV were recorded from 40 min before PPR until 120 min after it was completed. Heart rate, the root mean square of successive differences (RMSSD), and the high-frequency component (HF) of HRV were analyzed by examining 5-min time windows. To compare cardiac responses to PPR between groups, changes in HR and HRV parameters were calculated as area under the curve (AUC) for LACT and NLACT cows. An immediate increase in HR was detected during PPR in both LACT (+21.4 ± 2.4 beats/min) and NLACT cows (+20.6 ± 2.3 beats/min); however, no differences were found between groups on the basis of parameters of AUC. The increase in HR in both groups along with a parallel decrease in RMSSD (LACT cows: −5.2 ± 0.4 ms; NLACT cows: −5.1 ± 0.4 ms) and HF [LACT cows: −10.1 ± 0.8 nu (where nu = normalized units); NLACT cows: −16.9 ± 1.2 nu] during PPR indicate an increase in the sympathetic, and a decrease in the parasympathetic tone of the autonomic nervous system. The increase in RMSSD (LACT cows: +7.3 ± 0.7 ms; NL cows: +17.8 ± 2.2 ms) and in HF (LACT cows: +24.3 ± 2.6 nu; NLACT cows: +32.7 ± 3.5 nu) immediately after PPR indicated a rapid increase in parasympathetic activity, which decreased under the baseline values 10 min following PPR. The amplitude and the maximum RMSSD and HF values were greater in NLACT cows than in LACT animals, suggesting a higher short-term cardiac responsiveness of NLACT cows. However, the magnitude and the duration of the stress response were greater in LACT cows, as indicated by the analysis of AUC parameters (area under the HRV response curve and time to return to baseline). Cow response to the PPR was more prominent in parasympathetic HRV measures than in HR. Based on our results, the effect of PPR on the cows’ cardiac stress responses may have an impact on animal welfare on dairy farms, and investigating the effect of lactation on the cardiac stress reactions could prove useful in modeling bovine stress sensitivity. Further research is needed to find out whether the differences due to lactation are physiological or management related.

      Key words

      Introduction

      On commercial dairy farms, stressors are prevalent in a wide variety and intensities. Transrectal examination [e.g., palpation of the uterus per rectum (PPR)] is a frequent procedure performed by veterinarians (
      • Baillie S.
      • Crossan A.
      • Brewster S.A.
      • Mellor D.
      • Reid S.
      Validation of a bovine rectal palpation simulator for training veterinary students.
      ). Palpation of the uterus per rectum is used for the detection of postpartum uterine diseases (
      • LeBlanc S.J.
      • Duffield T.F.
      • Leslie K.E.
      • Bateman K.G.
      • Keefe G.P.
      • Walton J.S.
      • Johnson W.H.
      Defining and diagnosing postpartum clinical endometritis and its impact on reproductive performance in dairy cows.
      ;
      • Sheldon I.M.
      • Lewis G.S.
      • LeBlanc S.
      • Gilbert R.O.
      Defining postpartum uterine disease in cattle.
      ), during AI, and as the most common method, it is used for early pregnancy diagnosis in dairy cattle (
      • Youngquist R.S.
      Pregnancy diagnosis.
      ;
      • Romano J.E.
      • Thompson J.A.
      • Kraemer D.C.
      • Westhusin M.E.
      • Forrest D.W.
      • Tomaszweski M.A.
      Early pregnancy diagnosis by palpation per rectum: influence on embryo/fetal viability in dairy cattle.
      ). The procedure is usually quickly done by skilled veterinarians, yet it can last up to 5 to 10 min for inexperienced students in training. Palpation of the uterus per rectum is a nontraumatic procedure; however, it can result in physiological stress reactions (
      • Nakao T.
      • Sato T.
      • Moriyoshi M.
      • Kawata K.
      Plasma cortisol response in dairy cows to vaginoscopy, genital palpation per rectum and artificial insemination.
      ;
      • Waiblinger S.
      • Menke C.
      • Korff J.
      • Bucher A.
      Previous handling and gentle interactions affect behaviour and heart rate of dairy cows during a veterinary procedure.
      ;
      • Cingi C.C.
      • Baser D.F.
      • Karafakioglu Y.S.
      • Fidan A.F.
      Stress response in dairy cows related to rectal examination.
      ).
      It has been demonstrated that merely the presence of humans can cause discomfort in dairy cows (
      • Hagen K.
      • Lexer D.
      • Palme R.
      • Troxler J.
      • Waiblinger S.
      Milking of Brown Swiss and Austrian Simmental cows in a herringbone parlour or an automatic milking unit.
      ). In farm animals, an increasing number of studies have used a combination of physiological and behavioral measures for the assessment of pain as a stressor. Behavioral responses are useful for the qualitative description of the sensory experiences and nervous processes (
      • Mellor D.J.
      • Cook C.J.
      • Stafford K.J.
      Quantifying some responses to pain as a stressor.
      ;
      • Pilz M.
      • Fischer-Tenhagen C.
      • Thiele G.
      • Tinge H.
      • Lotz F.
      • Heuwieser W.
      Behavioural reactions before and during vaginal examination in dairy cows.
      ); however, interpretation of behavior is often observer dependent (
      • Mason G.
      • Mendl M.
      Why is there no simple way of measuring animal welfare?.
      ).
      Measures of hypothalamus-pituitary-adrenal axis activity (e.g., plasma cortisol concentrations) have extensively been used to evaluate pain in cattle (
      • Stafford K.J.
      • Mellor D.J.
      Addressing the pain associated with disbudding and dehorning in cattle.
      ;
      • Coetzee J.F.
      Assessment and management of pain associated with castration in cattle.
      ). However, measures of the activity of the autonomic nervous system (ANS) may have advantages over measuring hypothalamus-pituitary-adrenal activity when investigating responses to acute stress, as they provide more immediate and detailed information (
      • Stewart M.
      • Verkerk G.A.
      • Stafford K.J.
      • Schaefer A.L.
      • Webster J.R.
      Noninvasive assessment of autonomic activity for evaluation of pain in calves, using surgical castration as a model.
      ;
      • Ledowski T.
      • Reimer M.
      • Chavez V.
      • Kapoor V.
      • Wenk M.
      Effects of acute postoperative pain on catecholamine plasma levels, hemodynamic parameters, and cardiac autonomic control.
      ; reviewed by
      • Kovács L.
      • Jurkovich V.
      • Bakony M.
      • Szenci O.
      • Póti P.
      • Tőzsér J.
      Welfare implication of measuring heart rate and heart rate variability in dairy cattle: Literature review and conclusions for future research.
      ).
      Different methods exist for evaluating ANS function. Heart rate (HR) mainly reflects the activity of the sympathetic nervous system (SNS;
      • Hopster H.
      • O’Connell J.M.
      • Blokhuis H.J.
      Acute effects of cow-calf separation on heart rate, plasma cortisol and behaviour in multiparous dairy cows.
      ;
      • Sgoifo A.
      • Koolhaas J.M.
      • Musso E.
      • De Boer S.F.
      Different sympathovagal modulation of heart rate during social and nonsocial stress episodes in wild-type rats.
      ); however, it is difficult to draw conclusions about underlying control mechanisms related to ANS activity from HR measurements exclusively (
      • Sayers B.M.
      Analysis of heart rate variability.
      ;
      • Hainsworth R.
      The control and physiological importance of heart rate.
      ;
      • Malliani A.
      Association of heart rate variability components with physiological regulatory mechanisms.
      ). Measuring HR variability [HRV; i.e., the short-term fluctuations in the variability of successive cardiac interbeat intervals (IBI)] is the most effective and least invasive method for the assessment of ANS regulatory activity in dairy cattle (
      • von Borell E.
      • Langbein J.
      • Després G.
      • Hansen S.
      • Leterrier C.
      • Marchant-Forde J.
      • Marchant-Forde R.
      • Minero M.
      • Mohr E.
      • Prunier A.
      • Valance D.
      • Veissier I.
      Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals: A review.
      ;
      • Kovács L.
      • Jurkovich V.
      • Bakony M.
      • Szenci O.
      • Póti P.
      • Tőzsér J.
      Welfare implication of measuring heart rate and heart rate variability in dairy cattle: Literature review and conclusions for future research.
      ). An increasing number of studies have used HRV indices as indicators for the response of the ANS to stress. Using the IBI and calculating parameters in time and frequency domains, it is possible to measure the prevailing balance between SNS and parasympathetic nervous system (PNS) activity (
      • von Borell E.
      • Langbein J.
      • Després G.
      • Hansen S.
      • Leterrier C.
      • Marchant-Forde J.
      • Marchant-Forde R.
      • Minero M.
      • Mohr E.
      • Prunier A.
      • Valance D.
      • Veissier I.
      Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals: A review.
      ). To our knowledge, only a few studies exist that describe HRV changes in response to pain in adult farm animals [horse (
      • Rietmann T.R.
      • Stauffacher M.
      • Bernasconi P.
      • Auer J.A.
      • Weishaupt M.A.
      The association between heart rate, heart rate variability, endocrine and behavioural pain measures in horses suffering from laminitis.
      ; sheep (
      • Stubsjøen S.M.
      • Flø A.S.
      • Moe R.O.
      • Janczak A.M.
      • Skjerve E.
      • Valle P.S.
      • Zanella A.J.
      Exploring non-invasive methods to assess pain in sheep.
      )].
      Acute stress activates the SNS; however, defining HRV as a measure of SNS activity remains a subject of debate (
      • Akselrod S.
      • Gordon D.
      • Madwed J.B.
      • Snidman N.C.
      • Shannon D.C.
      • Cohen R.J.
      Hemodynamic regulation: Investigation by spectral analysis.
      ;
      • Houle M.S.
      • Billman G.E.
      Low-frequency component of the heart rate variability spectrum: A poor marker of sympathetic activity.
      ). It is generally agreed that the root mean square of successive differences (RMSSD) between the consecutive IBI is the primary time domain measure of HRV that represents vagal regulatory activity (
      • von Borell E.
      • Langbein J.
      • Després G.
      • Hansen S.
      • Leterrier C.
      • Marchant-Forde J.
      • Marchant-Forde R.
      • Minero M.
      • Mohr E.
      • Prunier A.
      • Valance D.
      • Veissier I.
      Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals: A review.
      ). The high-frequency component (HF) of HRV is strongly associated with the baroreceptor input, which varies with the breathing cycle and also reflects the changes in PNS tone (
      • Akselrod S.
      • Gordon D.
      • Ubel F.A.
      • Shannon D.C.
      • Berger A.C.
      • Cohen R.J.
      Power spectrum analysis of heart rate fluctuation: A quantitative probe of beat-to-beat cardiovascular control.
      ;
      • Malliani A.
      Association of heart rate variability components with physiological regulatory mechanisms.
      ). Both parameters have been studied in dairy cattle welfare research (
      • Kovács L.
      • Jurkovich V.
      • Bakony M.
      • Szenci O.
      • Póti P.
      • Tőzsér J.
      Welfare implication of measuring heart rate and heart rate variability in dairy cattle: Literature review and conclusions for future research.
      ). Reduced vagal tone was found in cows subjected to waiting after parlor milking with nonvoluntary exit (
      • Kovács L.
      • Bakony M.
      • Tőzsér J.
      • Jurkovich V.
      Short communication: The effect of milking in a parallel milking parlor with non-voluntary exit on the HRV of dairy cows.
      ) or during milking in a novel milking environment (
      • Sutherland M.A.
      • Rogers A.R.
      • Verkerk G.A.
      The effect of temperament and responsiveness towards humans on the behavior, physiology and milk production of multi-parous dairy cows in a familiar and novel milking environment.
      ), and in calves exposed to external stress or pathological loads (
      • Mohr E.
      • Langbein J.
      • Nürnberg G.
      Heart rate variability: A noninvasive approach to measure stress in calves and cows.
      ).
      In cattle, short-term cardiac responses to pain-evoking procedures have been investigated only in calves. In these experiments, animals were subjected to hot-iron disbudding (
      • Stewart M.
      • Stafford K.J.
      • Dowling S.K.
      • Schaefer A.L.
      • Webster J.R.
      Eye temperature and heart rate variability of calves disbudded with or without local anaesthetic.
      ) or surgical castration (
      • Stewart M.
      • Verkerk G.A.
      • Stafford K.J.
      • Schaefer A.L.
      • Webster J.R.
      Noninvasive assessment of autonomic activity for evaluation of pain in calves, using surgical castration as a model.
      ) to test the efficiency of local anesthesia. Authors have reported contradictory findings. In the case of castration without local anesthesia, an increase in PNS parameters was found after surgery, whereas in their earlier study, RMSSD and HF decreased following disbudding without local anesthesia, suggesting that the procedure was painful. Those authors suggested that this was due to the varying nature of the pain (somatic vs. visceral), which resulted in higher vagal response to castration, as the PNS is highly involved in carrying noxious impulses from the testes.
      In the present work, we monitored HR and HRV parameters in lactating and nonlactating dairy cows before, during, and following PPR in a field study. As severe pain is characterized by a propensity to evoke strong autonomic responses (
      • Ness T.J.
      • Gebhart G.F.
      Visceral pain: A review of experimental studies.
      ) and the rectum is considered as a visceral organ and has only autonomic innervation, we expected that ANS indices of HRV would be useful to study stress reactions of cows. We hypothesized lower cardiac responses to PPR in lactating cows than in nonlactating ones, as this procedure is usually done during the postpartum period, whereas nonlactating animals are not exposed to PPR during the late prepartum period.

      Materials and Methods

      Animals and Housing

      A total of 23 multiparous [11 lactating (LACT) and 12 nonlactating (NLACT)], clinically healthy Holstein-Friesian cows were selected from a large-scale herd (2,000 lactating cows) of Bóly Co. (Csípőtelek, Hungary). The LACT and NLACT group averages were similar in age (mean ± SD; 3.8 ± 1.3 vs. 3.5 ± 1.1 yr), parity (3.1 ± 0.9 vs. 2.6 ± 0.7 lactations), and BCS (3.1 ± 0.6; vs. 3.3 ± 0.8). Cows were housed in modern freestall barns bedded with sand. The barns were equipped with self-locking headlocks (head gates and headrails; Arntjen Germany GmbH, Rastede, Germany) along the full length of the feeding area. Cows locked themselves in place when putting their heads in the stanchions to eat, after being milked. It was a routine practice on the farm that regular checkups and treatments were carried out while the animals remained restrained and standing after feeding. Such a feeding and restraint system has been used for years. Total mixed ration was fed once per day at 800 h and animals had free access to water. Lactating cows (mean ± SD; DIM = 112 ± 21.5 d; daily milk yield = 47.8 ± 8.6 kg) were milked 3 times per day in a 72-stall rotary milking parlor (BouMatic Xcalibur 360; BouMatic, Madison, WI). Nonlactating animals were pregnant and at least 10 d after drying off and 20 d before expected calving. Lactating animals were nonpregnant and had recent experience with PPR.

      Experimental Design

      The experiment was carried out in November 2013, during a 4-d period. Three cows from each group were involved each day. The Polar Equine RS800 CX mobile recording system (Polar Electro Oy, Kempele, Finland) was used, with 2 integrated electrodes and a specific transmitter. After soaking the body surface under the electrodes with tap water, transmitters and the 2 electrodes were positioned on the thoracic region, as advised by
      • von Borell E.
      • Langbein J.
      • Després G.
      • Hansen S.
      • Leterrier C.
      • Marchant-Forde J.
      • Marchant-Forde R.
      • Minero M.
      • Mohr E.
      • Prunier A.
      • Valance D.
      • Veissier I.
      Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals: A review.
      in their review. Electrode sites were covered with ample ultrasound transmission gel (AquaUltra Blue; MedGel Medical, Barcelona, Spain) without shaving the skin. The devices were fitted while the animals were standing restrained in the headlocks after feeding, 18 h before the start of recordings to allow enough time to acclimatization to wearing the equipment (
      • Mohr E.
      • Langbein J.
      • Nürnberg G.
      Heart rate variability: A noninvasive approach to measure stress in calves and cows.
      ;
      • Gygax L.
      • Neuffer I.
      • Kaufmann C.
      • Hauser R.
      • Wechsler B.
      Restlessness behaviour, heart rate and heart-rate variability of dairy cows milked in two types of automatic milking systems and auto-tandem milking parlours.
      ).
      Heart rate recordings started on the next day, approximately 10 min after the animals had finished feeding, having returned from the morning milking. After a baseline period of 40 min, the PPR was performed. For the accuracy of HRV analysis (see Analysis of HRV section), the examination lasted 5 min, which was longer than what is usual in typical practice. The PPR was done with care. After removing part of the feces, examiners tried to localize the reproductive organs (the cervix and horns of the uterus, and the ovaries), the arteria uterina media, and in the case of pregnant cows, the approachable cotyledons. The examiners were unfamiliar to the cows. Heart rate recordings continued for 120 min after the PPR had finished. To avoid the influence of moving on HR, the experimental animals remained standing throughout the whole length of the recording period. To avoid the influence of separation during this time, neighboring cows on each side were also left restrained. All other cows were released at the time the PPR were finished. Any other kinds of disturbance (e.g., sudden noise and presence of people) or any unnecessary contact with animals throughout the whole experimental period was avoided.

      Analysis of HRV

      The IBI recorded from 40 min before the examination to 120 min afterward were used in the analysis. The HRV analysis was performed using Kubios 2.1 HRV software (
      • Niskanen J.P.
      • Tarvainen M.P.
      • Ranta-Aho P.O.
      • Karjalainen P.A.
      Software for advanced HRV analysis.
      ). A custom filter was applied to correct for any artifacts. Interbeat intervals differing from the previous IBI by more than 30% were identified as artifacts. An average error rate of 5% was accepted for analysis. In addition, a visual inspection of the corrected data was performed to edit out any artifacts still existing. Only one 5-min time window from the baseline measurements and four 5-min time windows from the post-PPR recordings were excluded, due to artifacts. Due to equipment failure, IBI data between 100 and 120 min after PPR was not recorded for 1 cow.
      For the interpolation of IBI time series before analysis using fast Fourier transformation (FFT), segments of 512 IBI were examined (

      ESC-NASPE Task Force (Task Force of the European Society of Cardiology, North American Society of Pacing and Electrophysiology). 1996. Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. Circulation 93:1043–1065.

      ;
      • von Borell E.
      • Langbein J.
      • Després G.
      • Hansen S.
      • Leterrier C.
      • Marchant-Forde J.
      • Marchant-Forde R.
      • Minero M.
      • Mohr E.
      • Prunier A.
      • Valance D.
      • Veissier I.
      Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals: A review.
      ) and then HRV was analyzed in the following periods: (1) in the 40 min before PPR (PrePPR); (2) during the 5-min of PPR, and (3) during the 120 min following PPR (PostPPR). As baseline, the mean values in the 15 min before the examination were used. The analyzed time domain measures were mean HR and RMSSD. As a frequency domain parameter, HF was chosen, presented in normalized units, calculated by FFT. Recommendations of
      • von Borell E.
      • Langbein J.
      • Després G.
      • Hansen S.
      • Leterrier C.
      • Marchant-Forde J.
      • Marchant-Forde R.
      • Minero M.
      • Mohr E.
      • Prunier A.
      • Valance D.
      • Veissier I.
      Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals: A review.
      were fulfilled by setting the limits of the spectral components (low frequency = 0.05–0.20 Hz and HF = 0.20–0.58 Hz). This frequency band width for the HF power was also used by earlier reports on dairy cattle for HRV analysis (
      • Mohr E.
      • Langbein J.
      • Nürnberg G.
      Heart rate variability: A noninvasive approach to measure stress in calves and cows.
      ;
      • Hagen K.
      • Langbein J.
      • Schmied C.
      • Lexer D.
      • Waiblinger S.
      Heart rate variability in dairy cows—Influences of breed and milking system.
      ;
      • Kovács L.
      • Bakony M.
      • Tőzsér J.
      • Jurkovich V.
      Short communication: The effect of milking in a parallel milking parlor with non-voluntary exit on the HRV of dairy cows.
      ).

      Statistical Analysis

      Heart rate, RMSSD, and HF were analyzed with a generalized linear model procedure (SPSS 18.0; SPSS Inc., Chicago, IL) with penalized quasi-likelihood. The residuals of the model were inspected graphically for distribution and homogeneity of variances with the Kolmogorov-Smirnov test. Because data were not normally distributed, HR, RMSSD, and HF parameters (as dependent variables) were subjected to logarithmic transformations before analysis. Covariates (parity, condition, and age) were added to the model as fixed factors. The Bonferroni adjustment was used for post hoc comparisons of HR and HRV values within the groups. A value of P < 0.05 was considered significant.
      For reducing the number of statistical comparisons between groups during the PostPPR period, changes in HR and HRV parameters were calculated as area under the curve (AUC). The AUC represents both the magnitude and the changes over time of the response (
      • Fekedulegn D.B.
      • Andrew M.E.
      • Burchfiel C.M.
      • Violanti J.M.
      • Hartley T.A.
      • Charles L.E.
      • Miller D.B.
      Area under the curve and other summary indicators of repeated waking cortisol measurements.
      ) and simplifies the statistical analyses by transforming the multivariate data into univariate space, especially when the numbers of repeated measurements are high and a need exists to summarize the information (
      • Watamura S.E.
      • Donzella B.
      • Kertes D.A.
      • Gunnar M.R.
      Developmental changes in baseline cortisol activity in early childhood: relations with napping and effortful control.
      ). The evaluated parameters included baseline and maximum values of HR, RMSSD, and HF; amplitude (the maximal alteration compared with baseline) of the HR, RMSSD, and HF response; and long-term measures of cardiac responses to the PPR (AUC response and time to return to baseline). The area under the response curve (AUCRESP) was determined for the period of time to return to baseline using a method described by
      • Lay Jr., D.C.
      • Friend T.H.
      • Randel R.D.
      • Jenkins O.C.
      • Neuendorff D.A.
      • Kapp G.M.
      • Bushong D.M.
      Adrenocorticotropic hormone dose response and some physiological effects of transportation on pregnant Brahman cattle.
      :
      AUCRESP=Σ[(Cn+Cn+1)/2×hbaseline],


      where C is the cardiac parameter (HR, RMSSD, or HF) at a given time point, h is the time in hours between the 2 C values, and baseline is the mean value over the final 15 min of recorded HR and HRV data before PPR. The AUC 40 min before PPR was also calculated for both LACT and NLACT groups (AUCPRE). As there was no response above baseline values of either HR or HRV parameters to measure, the area was simply calculated as follows:
      AUCPRE=Σ[Cn+Cn+1)/2×h].


      The AUCPRE and AUCPOST parameters are presented in absolute values. The nonparametric Friedman test was used for the comparison of AUC parameters between groups because of substantial non-normality in several parameters (evaluated by Levene’s test). The level of significance was set at P < 0.05.

      Results

      Changes in HR showed a similar pattern in both LACT and NLACT cows throughout the experiment (Figure 1a). In the PrePPR period, HR did not change significantly in either group. During PPR, HR increased (P < 0.001, in both groups), and in the first 5 min after PPR it decreased and then returned back to the normal (baseline) values.
      Figure thumbnail gr1
      Figure 1Changes in (a) heart rate (HR; beats/min), (b) the root mean square of successive differences (RMSSD; ms), and (c) the high-frequency component [HF; nu (where nu = normalized units)] of heart rate variability (HRV) in nonlactating (▲; n = 11) and lactating cows (●; n = 12) before, during, and after palpation per rectum (PPR). For significant differences between groups for cardiac response, parameters are calculated as area under the curve (AUC). Mean baseline HR, RMSSD, and HF values are represented by the horizontal lines. Values are means ± SEM.
      Although baseline and maximum HR were significantly higher (P < 0.001, in both cases) in LACT than NLACT group, the amplitude of HR did not differ between groups (Table 1). The AUC analysis did not detect any effect of the lactation either in the PrePPR or in the PostPPR period. After returning to baseline, HR was relatively stable in both studied groups, with an average slightly below the physiological level in LACT and slightly above that in NLACT cows (Figure 1a).
      Table 1Heart rate (HR) response parameters and parameters of cardiac function [high frequency component (HF) of HR variability (HRV)] calculated as area under the curve (AUC) before, during, and following palpation per rectum (PPR) in nonlactating (n = 12) and lactating (n = 11) cows
      Descriptive statistics are based on mean ± SD of nontransformed data.
      Item
      AUC PRE=area under the curve during 40min before PPR; baseline=the last 15min before PPR; amplitude of response=the maximal alteration compared with baseline; AUC RESP=area under the response curve calculated for the period of time to return to baseline.
      UnitsMean ± SD
      NonlactatingLactating
      HR response parameters
       AUC PREbeats25.2 ± 18.413.9 ± 14.8
       Baseline valuesbeats/min64.9 ± 5.5
      P<0.001 [statistical significances for HR, root mean square of successive differences (RMSSD), and HF response parameters are based on logarithmically transformed data. P-values for differences between groups are based on results from the Friedman test].
      86.3 ± 4.5
       Maximum valuesbeats/min81.0 ± 5.6
      P<0.001 [statistical significances for HR, root mean square of successive differences (RMSSD), and HF response parameters are based on logarithmically transformed data. P-values for differences between groups are based on results from the Friedman test].
      102.7 ± 5.8
       Amplitude of responsebeats/min16.1 ± 4.516.4 ± 3.4
       AUC RESPbeats268.8 ± 110.1183.0 ± 86.3
       Time to return to baselinemin37.5 ± 13.130.9 ± 21.2
      RMSSD response parameters
       AUC PREms × min22.1 ± 47.517.8 ± 24.6
       Baseline valuesms19.1 ± 3.3
      P<0.001 [statistical significances for HR, root mean square of successive differences (RMSSD), and HF response parameters are based on logarithmically transformed data. P-values for differences between groups are based on results from the Friedman test].
      9.4 ± 1.2
       Maximum valuesms32.8 ± 14.8
      P<0.001 [statistical significances for HR, root mean square of successive differences (RMSSD), and HF response parameters are based on logarithmically transformed data. P-values for differences between groups are based on results from the Friedman test].
      12.4 ± 5.5
       Amplitude of responsems15.7 ± 13.1
      P<0.01;
      5.2 ± 3.7
       AUC RESPms × min16.9 ± 206.3
      P<0.05;
      195.2 ± 93.6
       Time to return to baselinemin43.3 ± 14.2
      P<0.001 [statistical significances for HR, root mean square of successive differences (RMSSD), and HF response parameters are based on logarithmically transformed data. P-values for differences between groups are based on results from the Friedman test].
      88.2 ± 17.9
      HF response parameters
       AUC PREnu × min20.9 ± 39.244.3 ± 41.8
       Baseline valuesnu
      nu=normalized units.
      26.8 ± 5.4
      P<0.001 [statistical significances for HR, root mean square of successive differences (RMSSD), and HF response parameters are based on logarithmically transformed data. P-values for differences between groups are based on results from the Friedman test].
      16.2 ± 3.3
       Maximum valuesnu47.1 ± 6.5
      P<0.001 [statistical significances for HR, root mean square of successive differences (RMSSD), and HF response parameters are based on logarithmically transformed data. P-values for differences between groups are based on results from the Friedman test].
      29.1 ± 6.4
       Amplitude of responsenu20.3 ± 4.5
      P<0.05;
      12.9 ± 6.4
       AUC RESPnu × min85.9 ± 181.7
      P<0.001 [statistical significances for HR, root mean square of successive differences (RMSSD), and HF response parameters are based on logarithmically transformed data. P-values for differences between groups are based on results from the Friedman test].
      475.2 ± 250.4
       Time to return to baselinemin44.2 ± 17.6
      P<0.001 [statistical significances for HR, root mean square of successive differences (RMSSD), and HF response parameters are based on logarithmically transformed data. P-values for differences between groups are based on results from the Friedman test].
      102.8 ± 7.9
      1 Descriptive statistics are based on mean ± SD of nontransformed data.
      2 AUC PRE = area under the curve during 40 min before PPR; baseline = the last 15 min before PPR; amplitude of response = the maximal alteration compared with baseline; AUC RESP = area under the response curve calculated for the period of time to return to baseline.
      3 nu = normalized units.
      * P < 0.05;
      ** P < 0.01;
      *** P < 0.001 [statistical significances for HR, root mean square of successive differences (RMSSD), and HF response parameters are based on logarithmically transformed data. P-values for differences between groups are based on results from the Friedman test].
      Root mean square of successive differences—similarly to HR—did not change considerably in the PrePPR period in either group (Figure 1b). Baseline RMSSD was lower in the LACT group, compared with the NLACT group (P < 0.001); AUCPRE was similar in both groups (Table 1). During PPR, RMSSD decreased in both LACT and NLACT cows (P < 0.001 and P < 0.01, respectively), reflecting the sudden decrease in the PNS activity. The RMSSD in the first 5 min of PostPPR highly exceeded the baseline in both groups (P < 0.001). The rate of the increase was, on average, 24.4 and 41.7% in the LACT and NLACT groups, respectively. The maximum and amplitude of RMSSD were lower in the LACT group, compared with the NLACT group (P < 0.001 and P < 0.01, respectively). For LACT cows, RMSSD took longer to return to baseline (P < 0.001) and AUCRESP was also greater in LACT cows (P < 0.01; Table 1).
      Similarly to RMSSD, baseline HF was lower in LACT than NLACT cows (P < 0.001). During PPR, HF decreased in both groups (P < 0.001; Figure 1c). The rate of decline was, on average, 28.5% in LACT and 38.1% in NLACT cows, respectively. Area under the curve parameters of HF also differed between groups. A higher maximum in the 5 min following PPR (P < 0.001) and higher amplitude (P < 0.05) was found in NLACT cows, whereas LACT cows showed a greater AUCRESP (P < 0.001) and longer time to return to baseline (P < 0.001) measured in HF (Table 1).

      Discussion

      Baseline HR differences between LACT and NLACT cows are consistent with that found earlier (
      • Mohr E.
      • Langbein J.
      • Nürnberg G.
      Heart rate variability: A noninvasive approach to measure stress in calves and cows.
      ), yet those authors did not find the difference (83 vs. 74 beats/min) relevant. We suggest that this difference can primarily be attributed to the increased energy demands of lactation, as higher milk production is correlated with higher heart rate (
      • Weiss D.
      • Helmreich S.
      • Möstl E.
      • Dzidic A.
      • Bruckmaier R.M.
      Coping capacity of dairy cows during the change from conventional to automatic milking.
      ). Such effect of milk production on ANS activity is also reflected in baseline RMSSD and HF differences between LACT and NLACT cows. The findings of
      • Hagen K.
      • Langbein J.
      • Schmied C.
      • Lexer D.
      • Waiblinger S.
      Heart rate variability in dairy cows—Influences of breed and milking system.
      suggest that other factors, such as housing, management, and breed, could also be influential, as they measured an average 6.6 ms of baseline RMSSD and 16.2 normalized units for baseline HF in their study on lactating Brown Swiss and Fleckvieh cows. During the baseline period, HR, RMSSD, and HF as well as AUC regarding any of the cardiac parameters did not change significantly in any of the groups, which suggests that restraint and the proximity of examiners did not eventuate considerable stress for the animals studied.
      The elevation in HR during PPR is a good indicator of acute stress (
      • Hopster H.
      • O’Connell J.M.
      • Blokhuis H.J.
      Acute effects of cow-calf separation on heart rate, plasma cortisol and behaviour in multiparous dairy cows.
      ;
      • Sgoifo A.
      • Koolhaas J.M.
      • Musso E.
      • De Boer S.F.
      Different sympathovagal modulation of heart rate during social and nonsocial stress episodes in wild-type rats.
      ). The amplitude of the HR response did not differ between groups (average of 16 beats/min in both groups).
      • Mialon M.-M.
      • Deiss V.
      • Andanson S.
      • Anglard F.
      • Doreau M.
      • Veissier I.
      An assessment of the impact of rumenocentesis on pain and stress in cattle and the effect of local anaesthesia.
      reported a similar rate of increase (80.9 vs. 96.9 beats/min) in adult cattle, in response to rumenocentesis (a rumen fluid collection procedure) without local anesthesia; however, baseline data were recorded after the restraint. When cows were restrained, they found no evidence to indicate that rumenocentesis was more stressful than handling the animals.
      • Waiblinger S.
      • Menke C.
      • Korff J.
      • Bucher A.
      Previous handling and gentle interactions affect behaviour and heart rate of dairy cows during a veterinary procedure.
      found an average 7 beats/min increment in the HR of dairy cows during PPR performed by people unfamiliar to the animals. The animals were regularly examined as subjects of veterinary education, which might explain why the HR response was lower than what we observed. The difference could also be due to the short acclimatization period in their study, as the electrodes were attached only 35 min before PPR; therefore, baseline values (10–20 min before PPR) were likely to have been elevated. In the abovementioned studies, animals were fixed in restraining cages or insemination stalls during the experiment and they were isolated.
      Baseline recordings may be biased in isolation or in surroundings that the animal associates with previous unpleasant experiences due to the triggering of moderate stress reactions, even without any manipulation (
      • Boissy A.
      • Bouissou M.F.
      Effects of androgen treatment on behavioral and physiological-responses of heifers to fear-eliciting situations.
      ). In our study, cows were examined in their regular feeding place and were not isolated. Despite the confinement and the presence of experimenters during and after PPR, animals were relatively calm. We could conclude that the observed cardiac reactions are due to stress associated with the procedure of PPR.
      Investigating short-term stress responses during castration without local anesthesia in bull calves,
      • Stewart M.
      • Verkerk G.A.
      • Stafford K.J.
      • Schaefer A.L.
      • Webster J.R.
      Noninvasive assessment of autonomic activity for evaluation of pain in calves, using surgical castration as a model.
      observed an average 15 beats/min increase in HR. Those authors reported that HR started to decrease 2 min after the procedure had ceased. In our study, the decrease was more gradual, presumably due to the different severity or nature of pain. During PPR, RMSSD and HF decreased in both groups, which indicated the sudden decrease in PNS activity, which is consistent with the polyvagal theory of
      • Porges S.W.
      The polyvagal theory: Phylogenetic contributions to social behavior.
      that painful stimuli cause a decrease in vagal tone. A decrease in PNS activity was found in cows during waiting in the milking stall after milking (
      • Kovács L.
      • Bakony M.
      • Tőzsér J.
      • Jurkovich V.
      Short communication: The effect of milking in a parallel milking parlor with non-voluntary exit on the HRV of dairy cows.
      ) and in cows milked for the first time in an unfamiliar milking parlor (
      • Sutherland M.A.
      • Rogers A.R.
      • Verkerk G.A.
      The effect of temperament and responsiveness towards humans on the behavior, physiology and milk production of multi-parous dairy cows in a familiar and novel milking environment.
      ) by the changes in RMSSD and HF, and RMSSD, respectively. In calves, the HF was found to be suitable for the detection of acute pain caused by disbudding (
      • Stewart M.
      • Stafford K.J.
      • Dowling S.K.
      • Schaefer A.L.
      • Webster J.R.
      Eye temperature and heart rate variability of calves disbudded with or without local anaesthetic.
      ), whereas in horses, RMSSD and HF were lower with higher levels of pain accompanied by laminitis (
      • Rietmann T.R.
      • Stauffacher M.
      • Bernasconi P.
      • Auer J.A.
      • Weishaupt M.A.
      The association between heart rate, heart rate variability, endocrine and behavioural pain measures in horses suffering from laminitis.
      ). In healthy adults, studies investigating changes in HRV in response to experimentally induced acute pain also reported a decrease in PNS activity, as indexed by HF (
      • Koenig J.
      • Jarczok M.N.
      • Ellis R.J.
      • Hillecke T.K.
      • Thayer J.F.
      Heart rate variability and experimentally induced pain in healthy adults: A systematic review.
      ). The decline in PNS activity in parallel with the short-term increase in HR measured in our study confirms that rapid changes in HR are always related to changes in the vagal function (
      • Fritsch J.M.
      • Eckberg D.L.
      • Graves L.D.
      • Wallin B.G.
      Arterial-pressure ramps provoke linear increases of heart period in humans.
      ;
      • Eckberg D.L.
      Human respiratory-cardiovascular interactions in health and disease.
      ). However, merely HRV-based interpretation of pain associated with PPR is not well founded, as several physiological events are involved in pain. A tendency toward a decrease in RMSSD in response to a noxious ischemic stimulus by application of a forelimb tourniquet was found in ewes, suggesting that HRV is a sensitive method, which can detect mild to moderate pain (
      • Stubsjøen S.M.
      • Flø A.S.
      • Moe R.O.
      • Janczak A.M.
      • Skjerve E.
      • Valle P.S.
      • Zanella A.J.
      Exploring non-invasive methods to assess pain in sheep.
      ). In their study, animals showed behavioral signs of aversion. The limitation of our study to fully investigate whether PPR in itself is painful is that no other measures of pain (e.g., behavioral signs or effect of analgesics) were measured along with HRV.
      We described the magnitude and the duration of cows’ cardiac responses by using the AUC method, which has been commonly performed in endocrinological studies on different species (
      • Bhagwagar Z.
      • Hafizi S.
      • Cowen P.J.
      Increased salivary cortisol after waking in depression.
      ;
      • Curley Jr., K.O.
      • Neuendorff D.A.
      • Lewis A.W.
      • Cleere J.J.
      • Welsh Jr., T.H.
      • Randel R.D.
      Functional characteristics of the bovine hypothalamic-pituitary-adrenal axis vary with temperament.
      ;
      • Schmidt A.
      • Möstl E.
      • Wehnert C.
      • Aurich J.
      • Müller J.
      • Aurich C.
      Cortisol release and heart rate variability in horses during road transport.
      ). Previously, HR and HRV (i.e., RMSSD) were presented as AUC in horses during road transport (
      • Schmidt A.
      • Möstl E.
      • Wehnert C.
      • Aurich J.
      • Müller J.
      • Aurich C.
      Cortisol release and heart rate variability in horses during road transport.
      ) and the method was found to be useful to distinguish between the levels of stress in horses in relation with different durations of transport. In our study, areas under the HR curve and time to return to baseline values did not reflect the differences in stress-responsiveness between LACT and NLACT animals; thus, we concluded that lactation has no effect on the magnitude and duration of the HR response. The reason for this might be that the complex interplay of the 2 branches of the ANS is not always comprehensible when cardiac activity is measured only by HR (
      • Porges S.W.
      Cardiac vagal tone: A physiological index of stress.
      ;
      • Marchant-Forde R.M.
      • Marlin D.J.
      • Marchant-Forde J.N.
      Validation of a cardiac monitor for measuring heart rate variability in adult female pigs: Accuracy, artefacts and editing.
      ). An increase in HR can occur due to an increase in SNS activity (
      • Hainsworth R.
      The control and physiological importance of heart rate.
      ), the decrease in vagal tone, or the simultaneous changes in both regulatory systems (
      • von Borell E.
      • Langbein J.
      • Després G.
      • Hansen S.
      • Leterrier C.
      • Marchant-Forde J.
      • Marchant-Forde R.
      • Minero M.
      • Mohr E.
      • Prunier A.
      • Valance D.
      • Veissier I.
      Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals: A review.
      ).
      As expected, short-term PNS responses were higher (higher maximum and amplitude of RMSSD and HF) in NLACT cows, compared with LACT animals. As the NLACT animals had been pregnancy checked 8 mo before the experiment, and LACT animals had likely undergone pregnancy testing 3 to 4 times in the preceding 2 mo, our results seem to confirm that habituation to a stressor can reduce the intensity of stress response when the stressor occurs repeatedly (
      • Martí O.
      • García A.
      • Vallès A.
      • Harbuz M.S.
      • Armario A.
      Evidence that a single exposure to aversive stimuli triggers long-lasting effects in the hypothalamus-pituitary-adrenal axis that consolidate with time.
      ). In the first 5 min after PPR, the PNS measures of HRV peaked in both groups, indicating a compensatory increase in PNS activity. This phenomenon was also reported by
      • Stewart M.
      • Verkerk G.A.
      • Stafford K.J.
      • Schaefer A.L.
      • Webster J.R.
      Noninvasive assessment of autonomic activity for evaluation of pain in calves, using surgical castration as a model.
      , using RMSSD and HF parameters in the first 5 min following surgical castration without local anesthesia of bull calves. In our study, 10 min following PPR, PNS activity decreased below the baseline level.
      Inconsistent with our hypothesis, the magnitude and the duration of the stress response were greater in the LACT group. AUCRESP following PPR and the time to return to baseline values of both RMSSD and HF demonstrate a prolonged ANS response in LACT animals. These differences were more pronounced in HF values. It is worth investigating whether these differences due to lactation are physiological or management related. One explanation for this prolonged decline in PNS tone during the PostPPR period in LACT cows could be the higher physiological load associated with lactation; however, in an earlier study, cardiac differences between LACT and NLACT animals were not observed (
      • Mohr E.
      • Langbein J.
      • Nürnberg G.
      Heart rate variability: A noninvasive approach to measure stress in calves and cows.
      ). It is important to note that the study by
      • Mohr E.
      • Langbein J.
      • Nürnberg G.
      Heart rate variability: A noninvasive approach to measure stress in calves and cows.
      was not designed to provide an evaluation of stress responsiveness; only HRV parameters at resting were compared. In our study, differences in short- or long-term stress response to PPR are precisely described by PNS indices of HRV.

      Conclusions

      The use of HRV parameters provides a noninvasive means to assess ANS responses to acute stress in adult cattle. Lactating and nonlactating cows differ in their basal cardiac activity measured in standing posture. Lactating cows exhibited lower short-term cardiac responsiveness to PPR than NLACT animals, whereas in terms of magnitude and duration, cardiac responses mirrored by PNS indices of HRV were more intensive in LACT cows than NLACT ones. Further research is needed to clarify these differences in ANS activity between NLACT and LACT animals. As PPR caused significant stress in both LACT and NLACT cows, the length and frequency of the transrectal examination should be as minimal as possible, especially during training.

      Acknowledgments

      The authors thank Margit Kulcsár (Szent István University, Faculty of Veterinary Science, Department and Clinics of Reproduction, Budapest, Hungary) for her valuable technical assistance and the farm staff of Bóly Co. at Csípőtelek (Hungary) for taking care of the animals. Our work was partly supported by the GOP-1.1.1-11-2012-0153 project and the Research Centre of Excellence (Budapest, Hungary) 8526-5/2014/TUDPOL project.

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