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* Animal Welfare Program, Faculty of Food and Land Systems, and
School of Human Kinetics, The University of British Columbia, Vancouver, Canada
1 Corresponding author: fcf{at}interchange.ubc.ca
| ABSTRACT |
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Key Words: cattle gait sole ulcer milking
| INTRODUCTION |
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Treating lameness, especially at the early stages, depends upon valid and reliable methods of identifying cows with hoof lesions. Recent studies have demonstrated that hoof pathologies can influence the way cows walk (Flower et al., 2005; Flower and Weary, 2006), but other factors may change gait, potentially affecting our ability to detect lame cows. For example, flooring features can alter gait: dairy cows have shorter strides on lower friction surfaces (Phillips and Morris, 2001), and longer strides on surfaces covered with manure slurry (Phillips and Morris, 2000).
Other cow features, such as physical conformation, may also affect gait. For example, Greenough et al. (1981) speculated that cows might swing their legs out while walking to avoid contact with a distended udder, although no research to date has tested how udder fill affects gait. Other studies on gait offer some insights. For example, horses prefer to trot at slower speeds when saddled with a heavy load (Wickler et al., 2001) and research on humans has found gait changes, such as shortening stride length, when subjects are carrying extra weight (Martin and Nelson, 1986; Pascoe et al., 1997). Therefore, it seems likely that cows with full, heavy udders will change their gait. In addition, the effects of painful hoof injuries and disease may be more pronounced when cows are walking with a full, heavy udder compared with after milking. Understanding these effects will provide a basis for recommending the most suitable times to conduct on-farm lameness assessments.
Traditionally, changes in gait are assessed using subjective gait-scoring methods (Manson and Leaver, 1988; Sprecher et al., 1997; Flower and Weary, 2006), but more recently researchers have begun using quantitative methods such as kinematic gait analysis, and force platforms (Rajkondawar et al., 2002; Van der Tol et al., 2002; Flower et al., 2005). The objectives of this experiment were to use both kinematic and subjective gait analysis to describe a) how cow gait changes after milking, and b) how these changes are affected by hoof pathologies, such as sole hemorrhages (SH) and sole ulcers (SU).
| MATERIALS AND METHODS |
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Cows were fed a TMR diet twice a day, formulated to meet or exceed requirements for lactating dairy cows (NRC, 2001). Water was freely available from self-filling troughs. Stalls were deep-bedded with 0.4 m of sand. Flooring within 1.85 m of the feed bunk was grooved 2.5-cm thick rubber. Elsewhere in the pen, flooring was grooved concrete. Cows were milked in the parlor at 0500 and 1600 h daily. Cows were cared for according to the standards of the Canadian Council on Animal Care and a protocol approved by the University of British Columbias Animal Care Committee.
Data Collection
To habituate cows to the filming conditions, animals were walked to and from the milking parlor daily for 4 wk along a grooved concrete alley. A rope barrier in the alley forced cows to walk in a straight line in single file with minimal side-to-side movement. The cows were allocated to 2 groups for management purposes. The first group of 24 cows was filmed before and after morning milking (between 0510 and 0810 h) for 7 d consecutively and then the procedure was repeated on the second group of 24 cows during the next 7 d. Data collected in the current study and those of Flower et al. (2005) and Flower and Weary (2006) used the same cows, although the results reported in those earlier studies were only for cows walking from the parlor (i.e., after milking).
Kinematic Gait Analysis.
Cows had one reflective marker, visible from all angles, wrapped around the entire circumference of each leg directly above the metacarpo- and metatarsophalangeal joints. The video recordings were digitized using PEAK Motus 7.1.1 (Peak Performance Technologies, Inc., Englewood, CO), and hoof-strike and toe-off events were defined visually from the video recordings by a single observer. Hoof strike occurred when the hoof first contacted the ground at the beginning of the stance phase. Toe-off occurred when the toe left the ground at the end of the stance phase. Basic kinematic measures (stride length, maximum stride height, stride duration, stance and swing durations, and hoof speed) were then calculated for each hoof as defined in Table 1
. The proportions of double support (time with 2 hooves in ground contact) and triple support (time with 3 hooves in ground contact) during the gait cycle were calculated from stride and stance durations.
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Clinical Assessment of Hooves.
Injuries to the corium, the highly vascularized tissue responsible for producing hoof horn tissue, are not immediately visible on the surface of the sole. Under normal conditions of hoof growth and wear, hemorrhages become visible approximately 8 to 10 wk after corium damage has occurred (Bergsten and Frank, 1996; Lischer and Ossent, 2000). Because we wished to understand how gait was affected by painful injuries, we recorded the presence of SH and SU 8 to 9 wk after the trial. To do this, a professional hoof trimmer trimmed the front and hind hooves of each cow and an experienced observer examined each hoof and recorded the presence of lesions using a modified version of Greenough and Vermunts (1991) lesion scoring system. Number, location, and severity of lesions on each hoof were scored on a 4-point scale (1 = slight discoloration, 2 = moderate hemorrhagic lesion, 3 = severe hemorrhagic lesion, 4 = sole ulcer). At this time, we also noted the presence and location of digital dermatitis, both active (ulcerative or exudative lesions at the heel, with or without hair-like projections, painful to touch) and healed forms (dry, brown scabrous tissue, unresponsive to touch) and the presence of other foot pathologies, such as interdigital hyperplasia and interdigital necrobacillosis.
Hoof health data of 2 animals were not collected because these animals left the trial early; 1 had coliform mastitis and the other was dried off early for management reasons. Of the 46 cows examined, the majority had hoof pathologies (63%) at the time of examination. No cases of interdigital hyperplasia, interdigital necrobacillosis, or healed digital dermatitis were recorded; however, the presence of active digital dermatitis was noted on 8 animals. Because we could not be certain whether digital dermatitis was present at the time of video recordings, these animals were deleted from the analysis. Six additional cows were deleted because there were fewer than 2 d of suitable video recordings that could be digitized or scored due to missing markers or animals stopping, stumbling, slipping, defecating, urinating, or performing any gait other than walking. The remaining 32 cows were grouped into 3 mutually exclusive hoof-health categories: healthy cows with no visible signs of injury or disease on hooves (n = 15); cows having only SH (n = 11); and cows having SU and SH (n = 6).
Statistical Analyses
We calculated mean kinematic stride variables using the first stride on the video recording per day by averaging across the 4 hooves and 7 d of video recordings for each cow for each direction (before and after milking). Subjective gait assessment variables from each of the 7 d of recording were averaged to provide 1 value per cow per direction.
Previously, Flower et al. (2005) and Flower and Weary (2006) found no differences between SH and healthy animals. Therefore, we initially compared SH and healthy cows (1 df) using the GLM procedure of SAS (SAS Institute, 1985). For all variables, except reluctance to bear weight, no differences were found; therefore, SH and healthy cows were grouped as animals with no sole ulcers (nSU; n = 26). These variables were examined using the MIXED procedure of SAS to test the effect of hoof health (SU vs. nSU; 1 df), direction (before vs. after milking; 1 df), and the interaction between hoof health and direction (1 df), with cow as a random effect (30 df). For reluctance to bear weight, differences between the 3 hoof health groups were considered in an otherwise identical model. We ran PROC REG of SAS (30 df) separately for datasets before and after milking to describe the relationships among speed and the various temporal kinematic variables.
| RESULTS |
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Subjective Gait Assessment
Tracking-up improved after milking (Table 3
), but no change was observed for NRS or back arch. Cows with SU had higher values for NRS, and walked with a more pronounced back arch and worse tracking-up compared with animals having nSU, both before and after milking. There was an interaction between hoof health and milking for head bob (P < 0.05); head bob slightly worsened for nSU cows, but improved for SU animals after milking. However, when nSU and SU groups were analyzed separately, the effect of milking was not significant.
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| DISCUSSION |
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Previous work on farm animals shows that differences in gait may result from differences in body conformation. For example, broiler chickens and turkeys, selected for large breast muscle and rapid growth rate, have a wider walking base and walk more slowly compared with birds with slower growth rates (Abourachid, 1991; Corr et al., 2003). Those studies concluded that gait differences resulted from a shift in the center of gravity due to the large breast muscle. Studies on conformation in cattle have focused on hoof conformation and its relationship to sole lesion development (Gitau et al., 1997; Offer et al., 2000), but little is known about other effects of body conformation in cattle. Only one study has examined how udder width and depth relate to subjective gait assessments, and found only weak correlations (r = 0.36; Boelling and Pollott, 1998).
Studies in other species can provide some insight into how gait may change when carrying a heavy load. For example, Wickler et al. (2001) measured speed in trotting horses saddled with an 85-kg weight vs. no load and found that horses with a load prefer to trot at slower speeds. Moreover, humans carrying a heavy backpack have shorter stride lengths (Pascoe et al., 1997), longer double-support times (2 feet in ground contact) and longer swing times (Martin and Nelson, 1986) than those carrying no load. Our findings were similar: slower speeds, shorter stride lengths, longer triple support times, and longer swing times when walking with a full udder (i.e., before milking). Daily milk production of cows in the current study averaged 38 L/d, so milk weight represented approximately 3% of a cows BW per milking. In contrast, the studies on horses and humans cited above used relatively greater weights (15 to 20% of the subjects BW) carried on the subjects back. Although the load experienced by the cows in the current study was smaller, the positioning of this load (in this case between the hind legs) may increase its effect. Time in triple vs. double support is affected by walking speed; as observed in the current study, the faster a quadruped walks, the less time spent in triple support. Thus, these differences in the ratio of triple support could be due to cows walking more quickly when returning from milking. Indeed, all the kinematic variables are interrelated because they are all aspects of how each cow walks. Herlin and Drevemo (1997) were the first to report a negative correlation between speed and stride duration (R2 = 0.30), and a positive correlation between stride and stance duration (R2 = 0.31). We found similar, but stronger, relationships between these measures.
Stance durations of cows in this study were on average 0.16 s longer and swing durations 0.13 s shorter than those reported by Flower et al. (2005), resulting in an increase in time spent in triple support. The differences are likely due to differences in the way that stance and swing durations were calculated; toe-off (when the toe leaves the ground) was used to define the end of the stance phase in the current study vs. hoof-off (when the hoof first leaves the ground) in Flower et al. (2005).
Previous research has shown that cows with SU walk differently from healthy animals (Flower et al., 2005; Flower and Weary, 2006). The current study supports those findings; based on the NRS values, animals with SU had lower gait scores than cows with nSU. Furthermore, cows with SU had shorter strides, longer stride durations, walked more slowly, had a pronounced back arch and higher tracking-up compared with animals having nSU. Although there was no interaction between milking and hoof health, differences before and after milking were numerically for cows with nSU than for cows with SU. Animals with SU were likely to have adjusted their gait to minimize pain experienced during loading of the affected limb, and may have been unable to adjust their gait further in response to the extra weight from the milk and udder distension.
In conclusion, both the effect of milking and the effect of painful sole ulcers change the gait pattern of cows. Although most of the gait attributes did not show clear differences before and after milking, all the kinematic measures demonstrated a clear improvement and greater numerical difference between nSU and SU cows after milking. These results suggest that the most suitable time to conduct on-farm lameness assessments of dairy cattle is after milking.
| ACKNOWLEDGEMENTS |
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Received for publication November 15, 2005. Accepted for publication January 27, 2006.
| REFERENCES |
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