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Veterinary Medicine Teaching and Research Center, University of California, Davis
Corresponding author:
Michael Overton; e-mail:
Moverton{at}vmtrc.ucdavis.edu.
| ABSTRACT |
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Abbreviation key: FS_Temp = average free stall temperature, Milk_Lag = hours post-milking, Push-up = time of feed push-up.
Key Words: cattle behavior time-lapse video cow comfort lying behavior
| INTRODUCTION |
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Poorly designed or mismanaged housing facilities, especially total confinement on concrete, can alter normal social interactions, interfere with resting behavior, and promote longer standing times (Greenough and Vermunt, 1991; Singh et al., 1993; Bickert and Cermak, 1997). Stressors such as disturbed rest and uncomfortable resting areas may lead to altered levels of cortisol and increased heart rate in dairy cattle, and may increase the risk of involuntary culling, lower milk production, and reduce reproductive efficiency (Ladewig and Smidt, 1989; Müller et al., 1989).
Despite the importance of cow comfort and rest, assessment of housing systems for cow comfort can be difficult. Researchers have used a variety of time-lapse photography techniques to investigate dairy cattle behavior patterns, free-stall utilization, social interactions, and lameness risk factors (Friend and Polan, 1974; Galindo and Broom, 1993; Menzi and Chase, 1994). These studies usually involve either continuous sampling or scan sampling at intervals of 5 to15 min of small groups of cattle (typically 10 to 25) to more accurately measure total times spent in various activities such as lying, eating, or standing. Müller et al. (1989) suggested that comparisons between housing systems and evaluations for cow comfort are only reasonable if performed with a sufficient numbers of observations or at a set period of time, such as following the morning feeding.
Dairy consultants and veterinarians generally agree that the majority of cows' idle time should be spent lying, but most consultants do not have access to photographic techniques or time for tape review. As a result, many advisors rely on walk-through observations to assess free-stall usage and cow comfort for groups rather than in individual animals. Total proportion lying is an index that is sometimes used, but it fails to account for the impact of time spent eating. Proportion eligible lying or "free-stall-use index" is another measure that adjusts for cows that are eating by excluding them from the calculation. Information regarding walk-through assessment of free-stall usage is lacking in peer-reviewed literature, but in the lay press, the most commonly used index for evaluating cow comfort is the "cow comfort index" (Roenfeldt, 1995; Michael, 2001). The numerator consists of cows lying in free stalls and the denominator is the total number of cows touching a stall. A value greater than 85% is considered the desired goal.
Although there is some agreement about the goal for cow comfort, there is no standard for collecting the data and little in peer-reviewed literature to help interpret these single-point observations. Confounding variables such as time of feed delivery, milking times, or ambient temperature at the time of observation will most likely result in different evaluations. The objectives of this observational study were to use time-lapse video photography to document dairy cow behavioral patterns, examine relationships between environment, management activities, and resting behavior using 60-min scan sampling, and to develop guidelines for making a one-time visual assessment of free-stall usage in free-stall dairies.
| MATERIALS AND METHODS |
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Video Recording
Four black-and-white, closed-circuit video cameras were evenly spaced in the pen housing the highest-producing multiparous cows on the dairy (EXXIS Security Systems, models ES450 and ER0024T, Lewisville, TX). The four cameras were placed about 5 m above the pen floor to allow more complete visualization of the pen. Cameras were linked to a central monitor and video recorder.
Filming began on July 20 and ended on July 28, 1999. (Due to recorder malfunction, data were not recorded on July 25.) The monitor displayed a different camera's view every 20 s in a sequential, repeating cycle, and the video equipment recorded continuously over a 24-h period. Barn lights were turned off at approximately 10:30 p.m. and remained off until 2:30 a.m., when feed was pushed up, resulting in approximately 4 h per day where behavior observations could not be observed.
Videotapes were reviewed by freezing images on-screen to improve accuracy of the cow counts (Snappy Video Snapshot, Play Incorporated, Rancho Cordova, CA). Although images were recorded on film at 3-s intervals, observations were made using hourly scan samples due to the labor-intensive efforts required to review the tapes and our belief that hourly observations would adequately capture lying behavior changes. Videotape review included all hourly intervals from 3:00 a.m. to 10:00 p.m. except for 8:00 p.m., when cows were away from the free-stall barn for milking. As a result, 19 hourly observations were recorded for each day of the study. Observations of cow behavior for the other two milking times were recorded immediately before a dairy worker entered the pen to remove the cows for milking and were within 10 to 15 min of the scheduled observation times.
Cows were counted as lying, eating, standing-out, or standing-in a stall in each of the four camera sections of the pen. Lying included only cows that were observed in total lateral or sternal recumbency within the confines of a free stall. Standing-out included cows observed standing or walking in the walkways or alleys but not engaged in eating. A cow was counted as standing-in if she stood with two or more feet touching a stall bed. Eating was defined as actively ingesting feed or water, or standing within 0.6 m of the feed bunk and oriented toward the feed. The free-stall-use index proportion eligible lying was defined as total number lying in free stalls divided by the total number of cows that were not eating during that time period. Cow comfort index was calculated as number observed lying in stalls divided by the total number either lying or standing in a stall for that time period. Only once was a cow seen lying in the alley, but this occurred between hourly observation times and was not entered into the dataset. The entire video observation period covered 113 hourly time periods. For nine of these periods, no observations were made due to a slight change in milking schedule or camera recording error. To complete the dataset, these missing data points were estimated using the average of the other days' corresponding time points.
Feeding, milking, heat detection, and feed push-up times were noted. Patterns of direct sun exposure present in the free stall barn throughout the day were also monitored. All data were entered into a computerized spreadsheet program (Microsoft Excel, Redmond, WA).
Environmental Monitoring
Before cameras began recording, temperature probes were placed at the fence-line on both ends of the pen, at the feed bunk, and in the free-stall area approximately one third of the way from each end, and at an outside location to record temperatures at 10-min intervals (Optic StowAway Temp, Onset Computer Corporation, Bourne, MA). The outside probe was located adjacent to the free-stall barn under a calf shed that had no fans or sprinklers and was used to estimate the ambient environmental temperature. The temperature probes had an effective range of –35 to + 75°C with an accuracy of ± 0.5°C at 21°C, a time accuracy of ±1 min/wk and a response time of approximately 20 min. Data from the probes were directly downloaded and saved into a computerized database (Microsoft Excel).
Statistical Analyses
Proportion of eligible cows lying was chosen as the primary outcome for measurement. The initial evaluation of temporal independence of lying behavior used a modification of the Friedman non-parametric analysis of variance (ranks) test (Kendall and Ord, 1990). To establish a standardized baseline for comparing lying behavior between time periods, a centered moving average proportion eligible lying was computed across the entire observation period of the study (Kendall and Ord, 1990). The moving average was calculated using (m + 1) data points, where m corresponded to the 19 hourly observation points per day. The centered moving average was subtracted from each hourly observed proportion eligible lying to arrive at a residual or deviation from expected proportion eligible lying. The residuals were modeled using a least squares general linear model with the independent variables of average free stall temperature (FS Temp), hours post-milking (Milk Lag), and feed push-up time (Push up). Free-stall temperature was treated as a continuous variable, and Milk-Lag and Push-up were treated as class variables. For any given 24-h period, there were three sets of Milk Lags that ranged from 1 to 8 h, with Milk_Lag = 1, representing 1 h since the previous milking time and Milk_Lag = 8, representing the next milking time. Push_up was coded as a binary variable representing whether feed was pushed up to the feed bunk during the observation hour. All 2- and 3-way interactions were evaluated.
| RESULTS AND DISCUSSION |
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During the study period, management routines remained constant. During all observations, cows were seen leaving the pen within 10 min of the stated milking times, and all cows returned to the free-stall pen within 60 to 75 min of departure. The management policy was that stalls were normally rebedded once every 7 to 10 d, but this was not observed during the study period. Feeding occurred once daily between 10:38 and 10:45 a.m., and feed was pushed up at approximately 3:00 a.m., 6:00 a.m., 9:00 a.m., 3:00 p.m., 7:00 p.m., and at 10:00 p.m. daily. Feed bunks always contained feed, except for about 30 min before feeding, when the day-old feed was removed before delivery of fresh feed. The tail chalk method was used for heat detection, and cows were checked daily between 6:20 and 7:45 a.m. for evidence of prior estrus activity. Breeding via AI was performed by either catching a cow in a free stall or by moving her to the west end of the pen for a short lockup period. Minimal effect on cow behavior was observed while dairy workers were in the pen, with very few cows displaying signs of avoidance behavior and most cows continuing to eat or rest.
The alleys were flushed to remove manure and excess sand using recycled wastewater. Alley flushing was manually controlled, and the frequency was determined by the amount of manure present and by availability of labor. The feed-line alley was flushed 8 times/d on 1- to 7-h intervals. The outside free stall alley was flushed 5 times/d on similar intervals. Flushing of the alleys with wastewater had no noticeable effect on cow behavior.
Lying Behavior
The mean proportions (and standard deviations) of eligible cows lying at each time period are shown in Figure 1
. The highest mean proportion lying (86% of eligible cows, range 80 to 91%) was seen at the 6:00 a.m. observation, with the 10:00 p.m. observation slightly lower (81%, range of 76.5 to 84.5%). Both of these time periods coincided with Milk Lag of 2. The Friedman ranks test confirmed a nonrandom cyclicity to lying behavior (P < 0.005). Although decreased lying behavior was observed during mid-day, late afternoon, and early evening hours, the cow comfort index averaged 89% over all observations with a range of 71 to 100%.
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The daily observation period with the lowest average proportion of eligible lying was 9:00 p.m. At this time, an average of 53% of eligible cows was observed lying (range 45.9 to 63.3%). Other times that had similarly low proportion eligible lying were 12:00 p.m., 1:00 p.m., and 7:00 p.m.
As demonstrated in the multivariate model (Table 1
), two co-variates were associated with decreased lying behavior. Milk_Lag, and FS_Temp were significant independent influences of lying behavior (P < 0.05), but no interaction terms were significant. Although there were 113 time-period observations included in the study, only 94 observations were included in the analyses because the centered moving average could not be computed for the first 10 and last 9 recorded observations.
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The Milk_Lag 1 observation often did not include all of the animals in the pen because the total time required for milking was approximately 60 min, and some cows returned to the pen more slowly than others. While the vast majority of cows that had returned from the milking parlor were observed eating, others that were observed walking down the feed lane after returning from the parlor were recorded as standing, and thus, contributed to the low proportion eligible lying.
Milk_Lag 2 (2 h post milking) was associated with the greatest average proportion of eligible cows lying (80.3%, range of 70.4 to 90.7%). Figure 1
shows three periods of relatively large increases in proportions eligible lying. Each of the three peaks is associated with Milk_Lag 2. These increases were likely a result of synchronization associated with milking, followed by group feeding behavior. The size of the error bars at each observation period in Figure 1
suggests relatively low variation in proportion lying at Milk_Lag 2, but more variation as the observation time moves further away from the previous synchronizing event. Similarly, Miller and Wood-Gush reported that having feed available for cows upon return from milking leads to group feeding behavior and more cows standing for the next 30 to 60 min (Miller and Wood-Gush, 1991). Immediately following the synchronized feeding and standing, more cows may be observed resting.
Milk_Lag periods 7 and 8, which correspond to the 2-h preceding milking, were also low in proportions of eligible cows lying. Those lag periods are expected to be less affected by the synchronization effect observed for Milk_Lag 1 and 2 due to the longer time elapsed since the synchronizing event. In free-stall housing systems, more individualized behavior relative to free-stall use is expected, and cows that have higher needs for feed intake (high milk producers) or cows that have not had equal access to feed (subordinate cows) may return to the bunk for more feed (Arave and Albright, 1981). In addition, increasing intramammary pressure and anticipation of milking may cause cows to stand or move toward the exit gate (Osterman and Redbo, I, 2001).
Environmental temperatures also influenced proportion eligible lying. As shown in Figure 2
, lying proportion decreased as pen temperatures increased. The highest mean proportion lying (86%) was observed during the lowest recorded temperatures (58.8°F). Despite the presence of fans and sprinklers, the combination of radiant heat effects from the sun on the east end and rising ambient temperatures created higher temperatures within the pen. Shultz has shown that percentage of cows standing increases as environmental temperatures increase (Shultz, 1984). This standing response maximizes evaporative cooling from body surfaces (Igono et al., 1987). Cows in the current study had access to fans and sprinklers that were located over the feedbunk, but no cooling was directed over the free stalls. In response to increasing environmental temperatures, some cows in our study may have stood in the feedbunk area to dissipate heat.
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The results from this study should be interpreted with caution. Under different management or environmental conditions, optimum times for observation may be different. Limiting access to feed bunks or free stalls by prolonged lock-ups, overcrowding, poor free-stall design, or very slow milk parlor throughput may alter resting behavior. Metz found that deprivation of lying and eating for 3 to 5 h led to compensatory lying during the subsequent time periods (Metz, 1985). Type of housing system, bedding, and stall design may significantly alter time spent lying or standing and proportion of animals observed lying at any given observation (Haley et al., 2000; Horning and Tost, 2001). Obstacles within a pen may compromise freedom of movement and alter feeding and lying behaviors and increase idle standing (Metz-Stefanowska et al., 1993).
On this dairy, stocking density and free-stall design were not considered as problems. However, visual appraisal of lying behavior using proportions of cows eligible lying or free-stall-use index could still lead to extremely variable conclusions about cow comfort depending on time, since milking and environmental temperature at the time of the observation. During one day, the dairy may have been commended (91% eligible lying at 6:00 a.m.) or reprimanded (38% eligible lying at 1:00 p.m.). Under the studied herd's conditions, the optimum time for assessment was at the early morning Milk_Lag 1 period. However, if cow comfort index were used, the results would have been much less variable. On this dairy, the free-stall use index varied from 71 to 100%, with an average of 89%. While both indices have merit, the cow comfort index was much less susceptible to management or temperature effects and would have reported similar findings at any of the three Milk_Lag 1 periods.
Scan sampling with time-lapse video photography provides many benefits compared with one-time, walk-through appraisals, but it also has certain limitations. Mitlöhner et al. (2001) compared continuous behavioral sampling with scan sampling using intervals of 1, 5, 10, 15, 30, and 60 min and found that for feedlot cattle, scan sampling using very short intervals was highly correlated with continuous sampling for all studied behaviors (Mitlöhner et al., 2001). They found that long interval scan sampling (using 30 to 60 min between scans) was generally inaccurate and imprecise for measuring behaviors of short durations such as eating and drinking but was suitable for estimating lying behavior of feedlot cattle. Therefore, the techniques employed in the current study were probably inadequate to estimate time budgets accurately for short-term activities such as eating or drinking.
| CONCLUSIONS |
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Received for publication November 1, 2001. Accepted for publication April 1, 2002.
| REFERENCES |
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