A. NIKKHAH, R. KOWSAR
Research Article
Turk. J. Vet. Anim. Sci.
2012; 36(2): 123-129
© TÜBİTAK
doi:10.3906/vet-1012-626
Seasonal and group effects on dairy cow behavior in large yards
Akbar NIKKHAH1,*, Rasool KOWSAR2
1
Department of Animal Sciences, University of Zanjan, Zanjan 313-45195 - IRAN
2
Department of Animal Science, Isfahan University of Technology, Isfahan - IRAN
Received: 10.12.2010
Abstract: In mechanized modern dairy facilities with competitive environments, monitoring behavior provides
opportunities to manipulate and optimize the nutritional, health, and social status of high-merit cows. The objective
of the current study was to determine seasonal and cow group effects on the eating, ruminating, standing, and lying
behaviors of dairy cows in large yards. Seasonal data on various behaviors of lactating cows in different production
and lactation stages were collected continuously for 26 months, from December 2006 through February 2008. The
herd had approximately 3000 dairy cattle housed in groups within specific yards. A total of 415 multiparous highproducing cows (MH), 166 multiparous medium-producing cows (MM), 166 multiparous low-producing cows (ML),
165 primiparous high-producing cows (PH), 83 fresh cows (FC), 82 fresh heifers (FH), and 82 cows with high milk
somatic cell count (HSCC) were monitored. Seasonal eating, ruminating, standing, and lying behaviors were recorded
by 4 trained individuals at 1000 hours every week, on 4 days per week. Each activity was expressed as the proportion of
cows exhibiting the activity relative to the total number of cows in the yard. Feed was delivered 6 times daily, 4 times as
TMR at 0600, 1030, 1300, and 1800, just after milking and twice as alfalfa hay at nighttime. Across all groups, a greater
proportion of cows were observed eating during winter (25.7%) than during spring (17.1%), summer (15.4%), and
autumn (14.5%). The proportion of cows neither eating nor ruminating was lower in winter (48.1%) than in summer
(58.9%) and autumn (58.6%), but similar to spring (53.7%). A greater proportion of cows in the PH (24.6%) and ML
(21.3%) groups were observed eating, compared with the MM (15.2%), MH (16.6%), and FC (12.6%) groups. Lying
was observed significantly more often in the FC (71%), MM (69.6%), HSCC (65.3%), and MH (64%) groups than in
FH (54%), ML (55.7%), and PH (55.7%) groups. A greater proportion of cows were observed ruminating in the MM
(31.7%), FC (31.3%), HSCC (28.7%), PH (27.2%), and MH (26.7%) groups, when compared to the FH (20.5%) and
ML (22.9%) groups. The HSCC cows were less active in eating and more active in lying than the PH and ML groups.
With the remarkably large sample size and prolonged study period, these findings reveal the determining effects of
season alongside age, lactation stage, productivity, and—to some extent—mastitis on the eating, ruminating, and resting
behaviors of dairy cows in large yard houses. The data suggests future research aimed towards developing local and
global programs for monitoring and optimizing cow health and welfare based on social and feeding behaviors.
Key words: Behavior, eating, ruminating, season, parity, yard
Introduction
In mechanized modern dairy facilities with
competitive environments, monitoring behavior
provides opportunities to manipulate and optimize
nutritional, health, and social status of high-merit
cows. Initial research on cattle social behavior (16), although insufficient, highlighted and, in some
cases quantified, the association of cow physiology,
social rank, immunity, and performance with
environment (e.g., stall design and space, inter-group
* E-mail: nikkhah@znu.ac.ir
123
Seasonal and group effects on dairy cow behavior in large yards
member changes, isolation, and other stressors).
Later research shed light on how cow grouping
strategies affect social and feeding behaviors (7-9).
Most recently, renewed research interest in cow feed
intake and social behavior promises improvements
in health, metabolism, and production (10-13).
Huzzey et al. (11) showed that DMI and eating time
and engagement in social and aggressive interactions
at feed bunk during precalving week decrease in cows
that are at high risk of postpartum mastitis. Goldhawk
et al. (13) found that cows with lowered DMI and
frequency of feed bunk visits and shorter feed bunk
visits during precalving week had subclinical ketosis
for a few weeks peripartum. These studies suggest
that social and feeding behaviors are determining
factors in cow health and productivity. Thus, feeding
behaviors can be monitored as a management tool
to evaluate and improve cow health and longevity,
especially in large herds. Data are lacking on how
environmental factors, independently or in relation
to cow factors (e.g., production level, parity, and
lactation stage), affect social-feeding behaviors. It
was hypothesized that lactating cows housed in large
groups exhibit different eating, ruminating, and
resting or social activities during different seasons.
Another hypothesis was that such activities will
depend on cow groups defined by lactation stage,
milk production level, and cow parity. The objective
was to conduct an observational study for a prolonged
period (i.e. from December 2006 to February 2008) to
determine seasonal and group effects on the eating,
ruminating, resting, standing, and idle activities of
lactating dairy cows.
Materials and methods
The observations were made in a commercial yardbased herd with approximately 3000 dairy cattle,
including 1100 milking cows. Cows were housed and
grouped in large yards (80-120 cows/yard) based on
stage of lactation and milk production. Multiparous
(minimum 0.7 m/head) and primiparous (minimum
0.6 m/head) cows were ensured to have adequate bunk
space to avoid abnormal inter-cow interactions that
could interfere with true, normal behavior expression
(9). About one third of each yard was roofed to provide
cows with a hygienic area for resting and ruminating
that was protected from rain and direct sun. The
124
dairy farm is located in the central Iranian province
of Isfahan in about 25 km northwest of Isfahan city.
The region has hot-dry summers and moderate
winters, with an approximate annual precipitation of
150 mm. A total of 415 multiparous high-producing
cows (MH), 166 multiparous medium-producing
cows (MM), 166 multiparous low-producing cows
(ML), 165 primiparous high-producing cows (PH),
83 fresh cows (FC), 82 fresh heifers (FH), and 82
cows with high milk somatic cell count (HSCC)
were monitored in different seasons. The average
daily air temperature and relative humidity were,
respectively: 20.9 °C and 36% in spring, 26.8 °C and
17.3% in summer, 10.0 °C and 43.9% in autumn,
and 2.53 °C and 55.8% in winter. The cows were
monitored continuously by 4 individuals every week,
4 days per week for 26 months, from December of
2006 through February of 2008. In all seasons daily
eating, ruminating, standing, and lying activities
were recorded at 1000 hours. On each recording
day, each activity was expressed as the proportion
of the cows presently exhibiting the activity relative
to the total number of cows in the yard at the time
of observation. For instance, if 20 cows were eating
in a yard with a total of 90 cows, the proportion of
cows observed eating was calculated as: 20/90 × 100
or 22.22%. Cows were fed on a group basis. Their
diets were based on corn silage, alfalfa hay, barley
and corn grains, cottonseed, cottonseed and soybean
meals, and wheat bran (Table 1). The average milk
yield and milk fat content of the herd during the
study were 37 kg/day and 3.4%, respectively. The
dietary forage-to-concentrate ratio was 36:64 for
high-producing cows, 63:37 for low-producing cows,
and 43:57 for fresh cows. Feed was delivered 6 times
daily, 4 times as TMR at 0600, 1030, 1300, and 1800,
just after milking and twice as nighttime alfalfa hay.
The recording procedures and feeding and housing
conditions were in accordance with the guidelines
of the Iranian Council on Animal Care (14). Data
were analyzed as mixed models of SAS (15). Final
models of transformed data consisted of fixed effects
of cow group, season, and interaction, plus random
effects of recording date (season), group (date), and
residual errors. Least square means were estimated
using the REML method, and denominator degrees
of freedom were calculated using the KenwardRoger method (15). The PDIFF option of SAS and
A. NIKKHAH, R. KOWSAR
Table 1. Dietary feed ingredients and chemical composition of different concentrates (DM basis).
Diet
% of concentrate DM
Fresh
High-producing
Low-producing
Ground barley grain
35.0
43.0
33.0
Ground corn grain
10.3
4.5
0
Whole cottonseed
19.3
11.0
0
Cottonseed meal
4.2
3.5
3.5
Soybean meal
14.0
13.3
0
Wheat bran
0
4.0
30.0
Canola meal
4.2
11.0
11.0
0
0
16.4
Corn gluten
2.1
1.1
0
Fish meal
1.7
2.5
0
Limestone
1.4
1.1
1.4
Salt
0.2
0.5
0.5
Protected fat
2.1
1.1
0
Sodium bicarbonate
1.3
1.1
0
Magnesium oxide
0.2
0.2
0.2
Zeolite
0.7
0.9
2.0
0
0
0.7
Glycoline
1.4
0
0
Mineral and vit. supplement1
1.8
1.2
1.3
43.2:56.8
36.2:63.8
62.6:37.4
Alfalfa hay
24.4
19.6
29.1
Corn silage
18.8
16.6
19.4
Wheat straw
0
0
14.1
CP, %
19.2
20.8
16.8
NEL2, Mcal/kg
1.8
1.7
1.4
Sunflower meal
Urea
Forage:concentrate
Chemical composition
Contains: 196 g, Ca; 96 g, P; 71 g, Na; 19 g, Mg; 3 g, Fe; 0.3 g, Cu; 2 g, Mn; 3 g, Zn; 100 ppm, Co; 100
ppm, I; 0.1 ppm, Se; and 50 × 105 IU of vitamin A, 10 ×105 IU of vitamin D, and 0.1 g of vitamin E/kg.
2
From NRC (2001).
1
125
Cow group
Season
P-value
SEMc
Item
FC
FH
MH
MM
ML
PH
HSCC
Spring
Eating %
12.6c
20.4ab
16.6bc
15.2bc
21.3a
24.6a
16.5bc
17.1b
15.4b
14.5b
25.7a
2.0
Lying %
71.0a
54.0c
64.0ab
69.6a
55.7c
55.7c
65.3ab
66.2
62.5
62.4
57.7
Ruminating %
31.3ab
20.5c
26.7b
31.7a
22.9c
27.2b
28.7b
29.2
25.7
26.9
Standing %
15.6cd
27.0a
18.3bc
13.8d
21.7b
17.2c
19.0bc
13.8
21.7
Idle1 %
56.1a
59.1a
56.7a
53.1b
55.8ab
48.1c
54.7ab
53.7ab
58.9a
SEMs
Summer Autumn Winter
Cow group
Season
2.7
<0.0001
<0.01
3.0
4.6
<0.0001
0.32
26.2
1.8
2.7
<0.0001
0.72
22.5
18.0
1.8
2.9
<0.0001
0.12
58.6a
48.1b
1.7
2.8
<0.0001
<0.02
FC = fresh cows; FH = fresh, high-producing cows; MH = multiparous, high-producing cows; MM = multiparous, medium-producing cows; ML = multiparous, low-producing
cows; PH = primiparous, high-producing cows; HSCC = high somatic cell count cows.
a,b,c,d
Within each row under “cow group” and “season”, means with different superscripts differ at P < 0.05.
1
Percentage of cows neither eating nor ruminating.
SEMc = standard error of mean for cow group effect; SEMs = standard error of mean for season effect.
Seasonal and group effects on dairy cow behavior in large yards
126
Table 2. Seasonal eating, ruminating, lying, and idle standing behaviors of dairy cows at different ages and production levels.
A. NIKKHAH, R. KOWSAR
Tukey’s test were used to separate treatment means.
Multiple means comparisons adjustment showed no
significant interactions of season and cow group. The
significance effects were declared at P < 0.05.
Results and discussion
Across groups, a greater proportion of cows (P <
0.01) were observed eating during winter (25.7%)
than during spring (17.1%), summer (15.4%), and
autumn (14.5%). These findings were consistent with
the lower proportion of idle cows during winter than
during summer. This suggests a greater demand for
warming activities, such as eating, during the cold
seasons. Eating activity in cattle is known to entail
expenditures equal to 10%-30% of ME intake (16).
Winter time would logically require prolonged
eating activities, when compared to warmer times
of year. This would not necessarily mean reductions
in nutrient use efficiency; increased heat production
by increased eating can help to warm the cow body
more effectively (17). The proportion of cows neither
eating nor ruminating was lower (P < 0.05) in winter
(48.1%) than in summer (58.9%) and autumn
(58.6%), but similar to spring (53.7%). These results
were in agreement with the increased proportion of
cows eating in winter compared to other seasons.
More cows in the PH (24.6%) and ML (21.3%)
groups were observed eating when compared with
MM (15.2%), MH (16.6%), and FC (12.6%) groups.
Fresh cows (FC) could be rationally less active in
eating compared to cows in advanced stages of
lactation, as DMI is lower in fresh cows and has not
yet reached its peak (9,17). The fact that MH and MM
were less active in eating than ML cows suggests that,
with increased milk production, multiparous cows
may eat faster to obtain a certain amount of nutrients.
In addition, it is suggested that higher producing
multiparous cows with high social rank may spend
more time ruminating after rapidly consuming
their meals, when compared with lower-producing
multiparous cows (9). From a digestive physiology
perspective, a slower eating rate in combination with
prolonged eating contributes to greater ensalivation
(18). Accordingly, forages cause much greater
ensalivation than concentrates (e.g., 1.1 vs. 3.4-7.2
g saliva/g DM)(18). These findings could explain
why rumen acidosis severity and incidence increases
shortly postpartum (19). FC and early lactation
cows are expected to have reduced opportunities for
ensalivation. However, PH cows may be an exception,
since after parturition they do not experience changes
in their physiology, immune function, and DMI as
dramatic as those of multiparous cows (17). The more
stabilized metabolism of periparturient primiparous
(vs. multiparous) cows would concur with the active
eating behavior of PH cows in the current study.
Accordingly, lying was observed more extensively (P
< 0.01) in the FC (71%), MM (69.6%), and MH (64%)
groups than in the FH (54%), ML (55.7%), and PH
(55.7%) groups.
A greater proportion of cows were observed
ruminating (P < 0.01) in the MM (31.7%), FC (31.3%),
PH (27.2%), and MH (26.7%) groups than in the FH
(20.5%) and ML (22.9%) groups. By evolutionary
definition, rumination occurs when ruminants are
superior in psychological status and feel socially
secure; it usually takes place 1) between morning
and midday meals and 2) after evening grazing, later
in the night (20,21). Fresh high-producing cows
undergo the most dramatic periparturient metabolic
changes and suffer from inadequate DMI, lowered
immunity, and negative nutrient balance (17). When
considering rumination psychophysiology, diurnal
rumination patterns, and the fact that rumination
in the present study was monitored in the morning,
a lower proportion of ruminating FH cows would
be biologically evocative. In addition, resting saliva
secretion is much lower (e.g., 50%-100%) than eating
saliva secretion (18,22). Higher producing cows eat
more DMI mainly because they eat for longer periods
and probably at a faster rate (23), suggesting that
reduced eating time in fresh cows may contribute to
reduced rumen acidosis tolerance (19).
HSCC cows were less active in eating compared to
other groups, such as PH and ML cows. Consistently,
a greater proportion of HSCC cows were observed
lying when compared to PH, ML, and FH groups.
These results have health implications and suggest
subclinical mastitis effects on cow lying and
eating behavior. Feeding and social behaviors are
being introduced as a prognosis for cows with an
emerging risk of abnormalities, such as metritis and
subclinical ketosis (11,13). Data from the present
study underline the feasibility of monitoring cow
127
Seasonal and group effects on dairy cow behavior in large yards
behavior in large herds as a management tool for
tracking herd health. Considering the remarkably
large sample size and prolonged period of the
study, the findings reveal the determining effects of
season and cow group (i.e. age, lactation stage, and
production level) on the eating, ruminating, lying,
standing, and idle behaviors of dairy cows in large
yards. The observational data suggest future research
aimed towards developing local and global guidelines
based on social and feeding behaviors to monitor
cow health and welfare. Accordingly, certain groups
or individual cows with inconsistent and abnormal
behavior could be monitored for disease prediction
and prevention. Subsequently, optimum feeding and
housing management programs can be practiced.
compared with the MM, MH, and FC groups. Lying
was observed less often in the FH, ML, and PH
groups than in the FC, MM, HSCC, and MH groups.
Cows were observed ruminating more often in the
MM, FC, HSCC, PH, and MH groups than in the FH
and ML groups. The HSCC cows were less active in
eating and more active in lying than cows in the PH
and ML groups. Varying behavior reflects varying
cow physiology, seasonal factors, feeding strategies,
and housing conditions. The findings suggest that
these factors will require consideration for effective
betterment of animal well-being and improved
prediction and prevention of health issues.
In summary, the eating, ruminating, lying, and
standing behavior intensity of lactating cows housed
in groups in large yards in a 3000-head Holstein farm
was dependent on season and cow group. A greater
proportion of cows were observed eating in winter
than in spring, summer, or autumn. The proportion
of cows neither eating nor ruminating was lower in
winter than in summer and autumn. More cows in
the PH and ML groups were observed eating, when
Acknowledgments
We would like to acknowledge the Ministry of
Science, Research, and Technology and the University
of Zanjan (Zanjan, Iran) for supporting A. Nikkhah’s
programs to improve science education in the third
millennium. The management board and employees
of Ghiyam Dairy Enterprise (Isfahan, Iran) are
acknowledged for supporting our research and
providing farm facilities and diligent cooperation.
References
1.
Schmisseur, W.E., Albright, J.L., Dillon, W.M., Kehrberg, E.W.,
Morris, W.H.M.: Animal behavior responses to loose and free
stall housing. J. Dairy Sci., 1966; 49: 102-104.
2.
Arave, C.W., Albright, J.L.: Social rank and physiological traits
of dairy cows as influenced by changing group membership. J.
Dairy Sci., 1976; 59: 974-981.
3.
Arave, C.W., Albright, J.L., Sinclair, C.L.: Behavior, milk yield,
and leucocytes of dairy cows in reduced space and isolation. J.
Dairy Sci., 1974; 57: 1497-1501.
4.
Lamb, R.C.: Relationship between cow behavior patterns and
management systems to reduce stress. J. Dairy Sci., 1976; 59:
1630-1636.
5.
Arave, C.W., Albright, J.L.: Cattle behavior. J. Dairy Sci., 1981;
64: 1318-1329.
6. Pennington, J.A., Albright, J.L.: Effect of feeding time, behavior,
and environmental factors on the time of calving in dairy cattle. J. Dairy Sci., 1985; 68: 2746-2750.
7.
128
Phillips, C.J.C., Rind, M.I.: The effects on production and
behavior of mixing uniparous and multiparous cows. J. Dairy
Sci., 2001; 84: 2424-2429.
8.
Albright, J.L.: Feeding behavior of dairy cattle. J. Dairy Sci.,
1993; 76: 485-498.
9.
Grant, R.J., Albright, J.L.: Effect of animal grouping on feeding
behavior and intake of dairy cattle. J. Dairy Sci., 2001; 84: E156163E.
10.
Endres, M.I., Barberg, A.E.: Behavior of dairy cows in an
alternative bedded-pack housing system. J. Dairy Sci., 2007;
90: 4192-4200.
11.
Huzzey, J.M., Veira, D.M., Weary, D.M., von Keyserlingk,
M.A.G.: Prepartum behavior and dry matter intake identify
dairy cows at risk for metritis. J. Dairy Sci., 2007; 90: 32203233.
12.
von Keyserlingk, M.A.G., Olenick, D., Weary, D.M.: Acute
behavioral effects of regrouping dairy cows. J. Dairy Sci., 2008;
91: 1011-1016.
13.
Goldhawk, C., Chapinal, N., Veira, D.M., Weary, D.M., von
Keyserlingk, M.A.G.: Prepartum feeding behavior is an early
indicator of subclinical ketosis. J. Dairy Sci., 2009; 92: 49714977.
14.
Iranian Council of Animal Care: Guide to the Care and Use of
Experimental Animals, 1995; vol. 1, Iran.
A. NIKKHAH, R. KOWSAR
15.
SAS User’s Guide: Version 9.1. Edition. SAS Institute Inc.,
2003; Cary, NC.
20.
Gordon, J.G., McAllister, I.K.: The circadian rhythm of
rumination. J. Agric. Sci., 1970; 85: 291-297.
16.
Susenbeth, A., Mayer, R., Koehler, B., Neumann, O.: Energy
requirement for eating in cattle. J. Anim. Sci., 1998; 76: 7012705.
21.
Phillips, C.: Cattle Behavior and Welfare. Blackwell Science
Ltd. Oxford, UK., 2002; pp 264.
22.
Maekawa, M., Beauchemin, K.A., Christensen, D.A.: Effect
of concentrate level and feeding management on chewing
activities, saliva production, and ruminal pH of lactating dairy
cows. J. Dairy Sci., 2002; 85: 1165-1175.
23.
Nikkhah, A.: Optimizing barley grain use by dairy cows:
a betterment of current perceptions. In Advances in Food
Science and Technology, 2010; Nova Science Publishers, Inc.,
NY, USA.
17. NRC: National Research Council. Nutrient requirements of
dairy cattle. 7th rev. ed. National Acad. Sci., 2001; Washington,
D.C.
18.
Beauchemin, K.A., Eriksen, L., Nørgaard, P., Rode, L.M.: Short
communication: salivary secretion during meals in lactating
dairy cattle. J. Dairy Sci., 2008; 91: 2077-2081.
19.
Penner, G.B., Beauchemin, K.A., Mutsvangwa, T.: Severity
of ruminal acidosis in primiparous Holstein cows during the
periparturient period. J. Dairy Sci., 2007; 90: 365-375.
129