Register      Login
Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE (Open Access)

Comparison of dairy cow step activity under different milking schedules

L. S. Hall https://orcid.org/0000-0002-8338-0795 A B * , R. H. Bryant B , B. Kuhn-Sherlock A and J. P. Edwards https://orcid.org/0000-0003-4220-7408 A
+ Author Affiliations
- Author Affiliations

A DairyNZ Ltd, Hamilton, New Zealand.

B Lincoln University, Lincoln, New Zealand.

* Correspondence to: lucy.hall@dairynz.co.nz

Handling Editor: James Hills

Animal Production Science 64, AN22354 https://doi.org/10.1071/AN22354
Submitted: 15 September 2022  Accepted: 25 January 2023  Published: 6 March 2023

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

Variations in the number of milkings each day and their timing are becoming increasingly common. How these changes affect cow behaviour is poorly understood. When cows are milked less frequently, their walking to and from the dairy is reduced and their amount of time spent at pasture increases; however, the impact on activity under different milking schedules has not been measured.

Aims

The objective of this study was to identify any differences in cow walking activity (steps per hour) among three milking frequencies and three milking schedules of 3-in-2 (milking three times in 2 days), at two stages of lactation (34 and 136 days in milk), over a period of 6 weeks. Time spent eating was assessed to help explain differences in activity within a day.

Methods

Data were collected from five groups of 40 cows (n = 200) milked, as follows: once a day (OAD); twice a day (TAD); 3-in-2 (three groups) at intervals of 12–18–18 h, 10–19–19 h, and 8–20–20 h. All cows were fitted with AfiAct pedometers, which recorded steps per hour. Eight cows in each treatment group were also fitted with CowManager SensOor™ ear tags, which recorded minutes per hour spent eating.

Key results

Cow steps per hour increased with an increasing milking frequency in both trial periods. When data associated with walking to and from milking were removed, there were still differences in cow step activity. Cows milked OAD took 30% fewer steps than TAD cows. The diurnal pattern of eating time differed between these two trial groups. The effect of milking time among the 3-in-2 trials showed that the shorter the time between the milkings on the day the cows were milked twice, the greater the number of steps per hour. There were graphical eating differences between the 8–20–20 trial group and 12–18–18 trial group on the day that cows were milked twice.

Conclusions

We conclude that both the number and timings of milkings affect a cow’s step activity and grazing behaviour.

Implications

Farmers should minimise the amount of time cows spend away from the paddock, especially in the afternoon, to minimise any changes to natural behaviour.

Keywords: activity, behaviour, cow, dairy, frequency, milking, step, timing.

Introduction

Consumers of animal products are increasingly taking animal welfare into consideration when making a purchase (European Commission 2007; Napolitano et al. 2008; Alonso et al. 2020). A widely accepted definition of animal welfare focuses on three aspects, namely, whether the animal is (1) functioning well, (2) feeling well, and (3) able to live a reasonably natural life (Fraser et al. 1997). Dairy farming has undergone intensification over time, which has contributed to an increase in average herd size (Clay et al. 2020). In pastoral systems, an increase in herd size has led to cows walking longer distances to the dairy, and an increase in time spent away from pasture (Beggs et al. 2019). Increasing time away from pasture, the amount of time spent standing on concrete, and the distance cows walk, may affect the expression of natural behaviours, and thus have an impact on animal welfare.

The milking frequency and milking interval can influence the time cows spend away from pasture. The milking frequency is defined as the number of milkings per day, and the milking interval is the time between milkings. Dairy farmers can adapt both of these to suit their needs.

Twice-a-day (TAD) milking frequency is common in pastoral dairy farming systems, and it usually results in greater milk production than a once-a-day (OAD) milking frequency (Edwards 2018). Milking more than TAD is rare in pastoral systems as the revenue from the additional milk does not cover the cost of the additional milkings (Culotta and Schmidt 1988). Milking three times in 2 days (3-in-2) is an intermediate option, between TAD and OAD, that gives some of the benefits of OAD with a lesser impact on milk production (Edwards et al. 2022). Changes in cow behaviour have been identified between OAD and TAD milking; however, there has been little research investigating the effect of milking 3-in-2 on cow behaviour.

There has been little research around the effect of milking frequency on activity (Hall et al. 2021). Most research has focused on the effect of milking frequency on behaviours such as eating and lying time rather than activity, as they are seen as more important to the cow (Munksgaard et al. 2005). Most research on total walking distance has focused on farm productivity metrics, such as decreased milk production and profit (Thomson and Barnes 1993) or lameness incidence (Crossley et al. 2020), rather than aspects of cow behaviour.

A recent study reported that on days where cows walked further, grazing time increased and rumination time decreased (Neave et al. 2021). The authors hypothesised that this was due to the increased energy expenditure of walking further. However, the maximum distance walked in the study was 4 km/cow.day under a TAD milking regime. This is a conservative distance for farms of over 200 cows. Another study investigated the relationship between cow lying time and their steps and found that for every additional 1000 steps/day, lying time decreased by 0.49 h (Beggs et al. 2018). As lying time is an important resting behaviour, it is likely prioritised by cows (Munksgaard et al. 2005), and they change other behaviours to preserve it. These observations suggest that there may be an effect of milking frequency, through walking distance, on behaviour.

The choice of milking frequency and interval affects the timing of milkings within a day. Grazing behaviour has a significant diurnal pattern, with major grazing bouts occurring in the early morning and late afternoon into early evening (Gibb et al. 1998), with the later grazing event being more intense. However, dairy cows milked TAD are typically milked in the early morning, and late afternoon, potentially affecting these natural cycles. In a previous study, researchers observed major grazing bouts after milking (Brumby 1955) as cows tried to rectify the disruption to their natural routine. This is likely further influenced by whether fresh forage is offered after milking. For example, where forage is offered later in the morning, the morning feeding bout can be delayed (DeVries and von Keyserlingk 2005). With respect to milking frequency, despite no difference in grazing time being measured between OAD and TAD, TAD cows grazed later into the evening because of the disruption of a second milking in the afternoon (Tucker et al. 2007). Rumination follows a grazing bout, often with a period of idling in between (Gregorini 2012), and these activities are important for efficient digestion and supporting high intakes (Beauchemin 2018). Factors that influence the timing of grazing, including the timing of milkings, will also likely affect the timing of rumination within the day.

Previous studies have noted a stage of lactation effect on behaviour (Bewley et al. 2010; Munksgaard et al. 2020); however, this may be confounded by the other factors that change with the stage of lactation, particularly in block calving pasture-based systems. These factors could include cow milk production, age, and body condition score (BCS), as well as the environmental temperature. Milking frequency affects udder fill but the existing research does not indicate that udder fill significantly affects lying time (Tucker et al. 2007; O’Driscoll et al. 2010, 2011). Research has shown that cows past their first lactation increase their lying time in later lactation (Munksgaard et al. 2020). This suggests that age in combination with stage of lactation affects lying behaviour. Cows with a lower BCS decreased their lying time and increased their grazing time in late lactation, when compared with higher-BCS cows (Matthews et al. 2012). This could potentially be caused by a drive to increase the lower-BCS cows’ heat production from rumination or because of hunger. Environmental temperatures that exceed a cow’s upper thermal neutral zone of 25°C (Avendaño-Reyes 2012) reduced grazing time, because, to dissipate heat, cows prefer to stand, seek shade, and decrease digestion as that produces large amounts of heat (Kadzere et al. 2002; Herbut et al. 2021). Consequently, it is important to separate the stage of lactation and any other factors that may influence changes in behaviour.

The objective of this study was to identify any differences in cow step activity, measured as steps per hour, among three milking frequencies and three milking schedules of 3-in-2 (milking three times in 2 days) milking, at two stages of lactation. Time spent eating was assessed to help explain differences in step activity within a day. These were investigated using data from five herds of 40 cows (n = 200) milked OAD, TAD, and three 3-in-2 intervals of 12–18–18 h, 10–19–19 h, and 8–20–20 h. The information from this study will allow farmers to assess whether the milking frequency and milking interval they use on farm are altering their cows’ behaviour.

Materials and methods

Experimental site and design

The study ran twice for 6 weeks, between 11 September 2020 and 22 October 2020 (early lactation) and 15 January 2021 and 25 February 2021 (mid-lactation) at Ashley Dene Research and Development Station (ADRDS; 43°38′48″S, 172°20′44″E; 35 m above sea level), Canterbury, New Zealand, under the authority of the Lincoln University Animal Ethics Committee (application 2020-12). The 75.5 ha experimental area was subdivided into 3.75 and 4.5 ha paddocks. Rainfall was supplemented with centre pivot irrigation for all paddocks during both experimental periods. Effluent was applied through the pivot weekly and following grazing. Urea was applied at a rate of 23 kg N/ha directly after each grazing event.

A factorial design was used, consisting of five milking times and two stages of lactation. The five milking times were as follows:

  • one OAD group with a 24 h milking interval milked at 07:00 hours;

  • one TAD group with a 10–14 h interval milked at 06:30 hours and 16:30 hours; and

  • three 3-in-2 groups with milking intervals of

    • 12–18–18 (05:00 hours, 17:00 hours and 11:00 hours),

    • 10–19–19 (05:30 hours, 15:30 hours and 10:30 hours) and

    • 8–20–20 (06:00 hours, 14:00 hours and 10:00 hours).

In the covariate period, 10 days prior to the experimental period, cows (n = 200) were allocated into their treatments to allow social groups to form, and milked TAD. Groups were blocked at early and mid-lactation on days in milk (DIM) (34 days ± 6.7; 136 days ± 17.5), combined fat and protein yield (1.67 kg/cow ± 0.29; 1.93 kg/cow ± 0.26), somatic cell count (113 000 cells/mL ± 221 000; 66 500 cells/mL ± 112 000), parity (20% primiparous; fourth lactation average), breed (Friesian-Jersey cross), genetic merit (125 ± 50 breeding worth; 157 ± 107 production worth) and BCS (4.4 ± 0.28; 4.4 ± 0.19 on a 10-point scale) and randomly allocated to a treatment group. There was a smaller pool of animals to select from for the mid-lactation trial period and so 90 cows from the early lactation trial period were re-used. The previous treatment was used as an additional blocking factor for these animals. Nine cows were replaced in the early lactation trial period due to mastitis; six cows were replaced in the mid-lactation trial period, including four due to lameness, one for mastitis, and one for other health reasons. Replacement cows were not sampled. Between trial periods cows re-joined the main herd and were milked TAD.

The average temperature during the early lactation trial period was 11.5°C, with the average maximum temperature per day being 17.7°C and minimum 6.3°C. The average temperature was 16.8°C during the mid-lactation trial period, with the daily average maximum being 22.8°C and minimum 11.5°C. A total of 20 mm rain fell over the early lactation trial period and 39 mm during the mid-lactation trial period.

Experimental area management

The groups were rotationally grazed around the experimental area. Each week the pasture mass of all the paddocks was calculated using a calibrated rising plate metre (RPM), and the paddocks were ranked from highest to lowest mass to determine their grazing order. The target dry matter (DM) allocation was 17 kg DM/cow.day over the early lactation trial period and 16 kg DM/cow.day over the mid-lactation trial period.

Occasionally, small adjustments to the grazing area were made to ensure consistency of pasture DM allocation among groups. If the pasture target height post-grazing was exceeded, cows not participating in the trial grazed the paddock for up to 2 days after the experimental cows had finished, to get as close to the target as possible. This was to maintain the pasture quality of any paddocks that would be grazed a second time during the experimental period. When there was insufficient pasture to meet the target allocation, pasture silage was used to appropriately supplement the respective treatment groups.

Temporary fencing was used to subdivide each experimental paddock into five subpaddocks and each treatment group was randomly allocated to one of the five subpaddocks. These subpaddocks were split again to provide grazing for 2 days. All the treatment groups grazed the same paddock on the same days for ease of management and consistency of diet.

The allocation of groups to subpaddocks was randomised among paddocks to ensure that herd-to-herd interaction did not bias results. A random number generator was used to assign a value to each herd for each paddock; the value of the random numbers, from highest to lowest, dictated the break the herd was assigned, with Break 1 being the closest to the lane and the dairy, and Break 5 the furthest away.

In the early lactation period, cows received a fresh pasture allocation after each milking and the size of the allocation was proportional to the milking interval for each treatment group. In the mid-lactation period, each subpaddock was divided into two allocations (63:37 split). Treatment groups spent 30 h in the first allocation and the remaining 18 h in both allocations. All the treatment groups were given their second allocation after the mid-morning milking of the groups milked 3-in-2. The pasture allocation was changed for the mid-lactation period to allow greater access to water troughs during the warmer summer weather. No back fencing was used during either trial period. The average distances between the paddock and the dairy were 1402 m and 1480 m one direction for the early lactation and mid-lactation trial periods respectively.

Animal measurements

All the cows wore AfiAct monitors on the right rear leg from the beginning of the covariate period. The monitors measured the number of steps made over 15 min and data were download at every milking (Fan et al. 2022).

CowManager SensOor™ ear tags (Cowmanager BV, Harmelen, Netherlands) were fitted in the right ear, over the electronic identification tags, of a cohort of eight cows per treatment group, a total of 40 cows per trial period. The cohort was selected from the blocking groups (described in the experimental site and design section above). The CowManager tags were attached in Week 2 of the early lactation trial period and in the covariate portion of the mid-lactation trial period. Data were downloaded when cows passed a solar-powered transmission unit on the way to milking. The tags measured the number of minutes per hour spent in one of the following five behaviour categories: active, not active, high active, eating, and ruminating (Pereira et al. 2018). Active was when the cow was stood on all four feet and walked or moved her body, high active referred to oestrus behaviour. Calibrated in-line milk metres (AfiMilk, Kibbutz Afikim, Israel) recorded each cow’s milk weight at each milking.

Data analysis

The cow was the observational unit and the treatment group was the experimental unit, with repeated measures through time (n = 6 weeks). Step data from the AfiAct monitors were summarised as steps per hour per cow, on average, over a week. To achieve comparable means per treatment group per week, groups milked 3-in-2 (where the number of milkings were uneven each week) had odd numbered weeks defined as 6 days and even numbered weeks defined as 8 days. Data were analysed using a repeated measures model (R Core Team version 4.2.1). This was followed by a pairwise comparison using Tukey adjustment to account for multiple comparisons. The fixed effects included in the model were covariate period step activity, days in milk, breed, age, treatment, week, and treatment × week. The two trial periods were analysed separately. To pinpoint paddock step-activity data, data peaks that coincided with a milking were removed on a treatment basis, to leave the step-activity data associated with when the cows were in a paddock. This included the hour prior to and the hour of milking, as this period was associated with walking to and from milking.

CowManager data were summarised at a cow level, as minutes per hour means by behaviour category, as classified by the CowManager tags, and treatment group, over each trial period. Raw hourly means were then multiplied by 24 to give values as minutes per day. Eating time was summarised as a mean per treatment per hour value and plotted over a period of 24 h. The 3-in-2 group data was subdivided into Day 1 data, when cows were milked twice, and Day 2 data, when cows were milked once. Cow-level data were removed at a daily level when the total eating time over 24 h was equal to zero (a logger error), or when values were biologically impossible, i.e. total eating time over 24 h/cow was less than 20 min or more than 780 min.

Milk weight data were analysed using a model with the same fixed effects as for the step-activity analysis (SAS Institute Inc., Cary, NC, USA). Milk weight data were averaged over morning, afternoon, and ‘mid’-morning milkings for the 3-in-2 groups to achieve a per day average milk yield.

Results

Step activity

Weekly mean steps per hour increased with an increasing milking frequency during both the early and mid-lactation trial periods (Table 1). The number of steps was greater during mid- than early lactation. Cows milked OAD averaged 95 and 59 fewer steps per hour than TAD and 3-in-2 herds (respectively) during the early lactation trial period, and 115 and 78 fewer steps per hour during the mid-lactation trial period. There was a significant difference between the 3-in-2 groups in cow-step activity on Day 1 due to the effect of time of milking. The shorter the time between the morning and afternoon milking on Day 1, the greater the number of steps per hour. No difference in steps per hour was detected during both the early and mid-lactation trial periods on Day 2 where the 3-in-2 groups were all milked once.

Table 1.A comparison of early lactation and mid-lactation least square means by milking frequency and interval: once a day (OAD); twice a day (TAD); and three intervals of milking three times in 2 days (3-in-2); 8–20–20; 10–19–19 and 12–18–18 (n = 40 cows/treatment) for step per hour per cow values as a whole day average and paddock time averages, divided into Day 1 (two milkings) and Day 2 (one milking) values for the 3-in-2 herds over the experimental period (n = 6 weeks). As well as least square mean values for milk weight as an average per cow per day by treatment groups described below.

ParameterEarly lactationMid-lactation
Treatments.e.d.P-value (treatment)P-value (week)Treatments.e.d.P-value (treatment)P-value (week)
OAD8–20–2010–19–1912–18–18TADOAD8–20–2010–19–1912–18–18TAD
Steps (per cow/h)237a302c299bc287b332d4.82<0.001<0.001284A381C360B344B399D6.37<0.001<0.001
Day 1329b337b309a7.600.029<0.001422B391A373A8.21<0.001<0.001
Day 22772742757.130.549<0.0013393353328.100.444<0.001
Paddock steps (per cow/h)184a276d272cd262c249b4.67<0.001<0.001208A371D327B325B343C5.20<0.001<0.001
Paddock Day 1291b292b265a5.81<0.001<0.001426B348A337A5.91<0.001<0.001
Paddock Day 22552452575.620.080<0.0013223133145.810.182<0.001
Milk yield (kg/cow.day)18.12c20.75b20.86b21.46b22.91a0.364<0.001<0.00116.75C18.58B18.40B18.89AB19.16A0.208<0.001<0.001

Means within a row followed by different letters are signficantly different (at P = 0.05; Tukey test).

s.e.d., maximum standard error of the difference.

Cows milked OAD took 30% fewer steps per hour than those milked TAD, regardless of whether the steps related to milking were included or not. Cows milked 3-in-2 took 10% fewer steps than cows milked TAD when averaged over the whole day. However, when the steps associated with walking to and from milking were removed, 3-in-2 cows took 8% more steps than TAD cows during the early lactation trial period. Over mid-lactation, the amount of steps TAD cows took fell between the 8–20–20 and 10–19–19 3-in-2 groups. Milk weight increased with an increased milking frequency (Table 1).

CowManager behaviour data

Due to the small number of tags available per treatment group, raw means for each behaviour category are presented by treatment group and experimental period (Table 2).

Table 2.A comparison of early lactation and mid-lactation raw means by milking frequency and interval: once a day (OAD); twice a day (TAD); and three intervals of milking three times in 2 days (3-in-2); 8–20–20; 10–19–19 and 12–18–18 (n = 8 cows/treatment) for total minutes per day in the following behaviour categories: eating, ruminating, active, high active and not active, as defined by the CowManager tags, over the experimental period (n = 6 weeks).

ParameterEarly lactationMid lactation
OAD8–20–2010–19–1912–18–18TADOAD8–20–2010–19–1912–18–18TAD
Eating305389456439336444382338403446
Ruminating454403427420492463427454458437
Active164168131114196134243211213160
High active218199191200171153145194149147
Not active305295250286262248249269222254

The eating time data were analysed to attempt to explain differences in the step activity of different trial groups (Table 1). In the early lactation trial period, cows’ eating time increased after milking for all the treatment groups (Fig. 1). After 10 am, when compared with the TAD treatment group, the OAD treatment group had an extended period of eating throughout the afternoon into the evening, with a less defined afternoon peak than for the TAD treatment group. The 3-in-2 8–20–20 and 12–18–18 intervals were also compared, as they had the largest difference in milking time and they had a significant difference in step activity (Table 1). The influence of milking times was evident. On Day 1, the 12–18–18 treatment group was milked at 17:00 hours and had a peak in eating time later in the afternoon, while the 8–20–20 treatment group was milked at 14:00 hours and had an extended period of afternoon eating. On Day 2, both treatment groups were milked in the mid-morning and their eating patterns were similar.

Fig. 1.

A graphical representation of early lactation eating time in minutes per hour per cow (n = 8) over a period of 24 h by miking frequency; once a day (OAD) vs twice a day (TAD) and milking three times in 2 days (3-in-2) intervals; 8–20–20 and 12–18–18, compared with milking times and divided into Day 1 (when cows are milked twice) and Day 2 (when cows are milked once) data for 3-in-2 treatments.


AN22354_F1.gif

Discussion

The primary objective of this study was to identify the effect of milking frequency, including 3-in-2 milking intervals, on cows’ step activity, as indicated by the differences in mean steps per hour per cow. A secondary objective was to investigate diurnal differences in eating time to assist with the explanation of within-paddock differences in step activity.

An increase in milking frequency resulted in an increase in mean steps per hour in both the early and mid-lactation trial periods. As milking frequency dictated the number of times the cow walked between paddock and the dairy, with an average distance of between 1.4 and 1.5 km one way, the relationship between the number of milkings per day and average number of steps is not unexpected. However, when the data from the period that included travel to and from milking was removed, leaving step per hour values for the time spent in the paddock, a relationship remained between milking frequency and steps per hour.

Cows in the OAD treatment group had the lowest number of steps per hour during both the early and mid-lactation trial periods whilst in the paddock, despite having the greatest amount of time there due to their milking schedule. Differences in feed searching behaviour may be an explanation for this observation. Fig. 1 illustrates that the eating time of the OAD treatment group was more prolonged, with a slow rate of increase across the afternoon, when compared with the TAD treatment group. Perhaps the cows milked OAD felt a lesser need for rapid pasture intake as they were not removed for afternoon milking and were used to this routine, and other behaviours, such as grooming, ruminating or resting, were prioritised over the afternoon. It is also possible that due to less milk production from the OAD cows, their appetite was reduced and therefore grazing time was reduced, resulting in fewer steps. Previous research investigating the relationship between eating time and milking frequency (Tucker et al. 2007) or prolonged milking (Beggs et al. 2018) has not shown any differences in daily eating time, but diurnal variation and grazing intensity were not explored.

An alternative hypothesis could be that OAD cows were less active due to discomfort, as their udders were distended due to higher milk volumes caused by lower milking frequency. One study reported decreased lying time due to udder discomfort when a milking was omitted, showing that udder discomfort can change behaviour (O’Driscoll et al. 2011). In this trial, step activity was higher during the mid-lactation trial period, when cows produced less milk, than during the the early lactation trial period, and cows in the 3-in-2 treatment groups walked fewer steps on the day they were milked once. Only one study has investigated the correlation between activity and milking frequency. The study reported a relationship between decreased milking frequency from TAD to 3-in-2 and increased activity (Hall et al. 2021). More research is needed to understand which behaviours cows substitute for movement on days with only one milking, and the reasons for those differences.

When the step data associated with walking to and from milking were removed, the TAD trial group completed fewer average steps per hour than did the 3-in-2 trial groups, including on the day where 3-in-2 trial groups were milked twice. Greater activity in cows switched from TAD to 3-in-2 milking has been observed previously (Hall et al. 2021). This could have been due to an increase in feed searching behaviour, particularly in the evening, as a result of the larger area given per cow at each feed allocation. This hypothesis could be supported by the data from the early lactation trial period in our experiment; however, the pasture management changed for the mid-lactation trial period, where all treatments received the same-sized allocation each day, and the 8–20–20 herd remained more active. As the afternoon milking for the 8–20–20 herd occurred earlier than for the TAD herd (at 14:00 hours versus 16:30 hours), it is possible that the 8–20–20 herd had two grazing bouts, one occurring after milking and another in the early evening, resulting in more steps. Consequently, we speculate that the amount of walking TAD cows were required to do, due to their milking schedule, resulted in less step activity in the paddock.

A difference in steps per hour was also measured between 3-in-2 milking intervals, driven by differences on Day 1, when cows were milked twice. This suggests that the timing of milking influences step activity. The 8–20–20 trial group was milked at 06:00 hours and 14:00 hours on Day 1, and at 10:00 hours on Day 2, while the 12–18–18 trial group was milked at 05:00 hours and 17:00 hours on Day 1, and at 11:00 hours on Day 2. Cows have preferential grazing bouts early in the morning, and late afternoon into early evening (Gibb et al. 1998), with the afternoon bout being more intense. Milking times of the 12–18–18 trial group on Day 1 appear to have coincided with the cows’ preferred grazing time (Fig. 1). The 8–20–20 trial group, which was less disrupted by milking, clearly shows two separate peaks of eating over an extended period in the afternoon after milking, while the 12–18–18 herd had only one. The pattern of eating followed a similar trend when both trial groups were milked once on Day 2. Consequently, we hypothesise that the step-activity differences seen in the different 3-in-2 trial groups were driven by changes in grazing behaviour. Although there is little research on this topic, it is supported by one study that showed TAD cows grazing further into the evening than OAD cows (Tucker et al. 2007). The expression of natural behaviour is an important component of animal welfare, and thus the impact of milking timing on grazing behaviour is a consideration.

A key reason why farmers wish to reduce milking frequencies and extend milking intervals is to reduce work hours and early morning work starts, for their own welfare and so that they can attract and retain staff. However, it is important to also consider whether altering milking frequencies and intervals has a behavioural impact on cows. When looking at the impacts of milking frequency on a cow, most research has focused on farm metrics, such as milk production (Edwards 2018), or traditional welfare metrics, such as BCS (Roche et al. 2009). From our research, if we assume that the average length of the cow’s step is 1.5 m (Alsaaod et al. 2017), and the energy expenditure per kilometre walking over flat ground is 2 MJ (Nicol and Brookes 2007), then a difference between groups of 27 steps/h would provide a difference of energy expenditure of 2 MJ/cow.day. The largest significant difference we saw between the OAD and TAD herds was 115 steps/h at mid-lactation. If this is extrapolated to increased pasture demand with a large herd, this could result in a large energy deficit if step-activity differences are not considered when changing milking frequencies. Welfare also covers many facets, including normal behaviour expression. When farmers consider adjusting their milking times and frequency to suit their goals, they should ensure they account for potential changes in normal grazing behaviour and grazing allocation. Putting systems in place, such as limiting herd sizes to ensure that cows are not away from the paddock any longer than necessary and that efficient milking practices are used (Edwards 2013), will also help ensure that disruption to natural behaviour is minimised.

Conclusions

Milking frequency affected cow step activity, both when walking to the dairy was included and excluded from the data. Changes in diurnal eating patterns were also evident when comparing OAD and TAD trial groups. We believe that these differences were likely to be due to the amount of walking between the paddock and dairy, and changes in grazing behaviour or another explanation such as udder discomfort. However, because milking frequency also affects milk production, more research is needed to understand the relationship among milk production, milking frequency and behaviour. The timings of milkings also affected cow step activity, with significant differences seen amongst the 3-in-2 trial groups, driven by differences on the day cows were milked twice. There were differences in the eating pattern amongst the 3-in-2 trial groups, suggesting the timing of milkings, in addition to the frequency, affects grazing behaviour and, thus, step activity. More research is needed to determine the impact of these differences on animal welfare. Farmers should offset these changes in grazing behaviour due to milking frequency and timing by minimising the time cows spend out of the paddock, especially in the afternoon.

Data availability

The data that support this study cannot be publicly shared due to ethical or privacy reasons and may be shared upon reasonable request to the corresponding author if appropriate.

Conflicts of interest

We declare no conflicts of interest.

Declaration of funding

This study was part of the Flexible Milking Project, funded by the Sustainable Farming Fund (Project 405879), and the dairy farmers of New Zealand via DairyNZ Inc. (Contract TW2001).

Acknowledgements

We thank the many students at Lincoln University and staff of ADRDS and DairyNZ for their help in data collection and farm management, in particular C. Johnson and C. Oliver (Lincoln University), and C. Thomas (DairyNZ).

References

Alonso ME, González-Montaña JR, Lomillos JM (2020) Consumers’ concerns and perceptions of farm animal welfare. Animals 10, 385-400.
| Crossref | Google Scholar |

Alsaaod M, Huber S, Beer G, Kohler P, Schüpbach-Regula G, Steiner A (2017) Locomotion characteristics of dairy cows walking on pasture and the effect of artificial flooring systems on locomotion comfort. Journal of Dairy Science 100, 8330-8337.
| Crossref | Google Scholar |

Avendaño-Reyes L (2012) Heat stress management for milk production in arid zones. In ‘Milk production – an up-to-date overview of animal nutrition, management and health’. (Ed. N Chaiyabutr) pp. 165–184. (IntechOpen)

Beauchemin KA (2018) Invited review: Current perspectives on eating and rumination activity in dairy cows. Journal of Dairy Science 101, 4762-4784.
| Crossref | Google Scholar |

Beggs DS, Jongman EC, Hemsworth PE, Fisher AD (2018) Implications of prolonged milking time on time budgets and lying behavior of cows in large pasture-based dairy herds. Journal of Dairy Science 101, 10391-10397.
| Crossref | Google Scholar |

Beggs DS, Jongman EC, Hemsworth PH, Fisher AD (2019) The effects of herd size on the welfare of dairy cows in a pasture-based system using animal- and resource-based indicators. Journal of Dairy Science 102, 3406-3420.
| Crossref | Google Scholar |

Bewley JM, Boyce RE, Hockin J, Munksgaard L, Eicher SD, Einstein ME, Schutz MM (2010) Influence of milk yield, stage of lactation, and body condition on dairy cattle lying behaviour measured using an automated activity monitoring sensor. Journal of Dairy Research 77, 1-6.
| Crossref | Google Scholar |

Brumby P (1955) Ruakura studies on the grazing behaviour of dairy cattle. NZ Grassland Association 17, 96-106.
| Crossref | Google Scholar |

Clay N, Garnett T, Lorimer J (2020) Dairy intensification: drivers, impacts and alternatives. Ambio 49, 35-48.
| Crossref | Google Scholar |

Crossley R, Conneely M, Browne N, Sugrue K, de Boer IJM, Bokkers EAM (2020) The long road to lameness: considering walking distance as a challenge in pasture-based dairy production. In ‘WIAS annual conference 2020: frontiers in animal sciences’, Amsterdam, Netherlands. (WIAS: Amsterdam, Netherlands)

Culotta CP, Schmidt GH (1988) An economic evaluation of three times daily milking of dairy cows. Journal of Dairy Science 71, 1960-1966.
| Crossref | Google Scholar |

DeVries TJ, von Keyserlingk MAG (2005) Time of feed delivery affects the feeding and lying patterns of dairy cows. Journal of Dairy Science 88, 625-631.
| Crossref | Google Scholar |

Edwards JP (2013) Efficient milking in herringbone and rotary dairies. In ‘Proceedings of the South Island Dairy Event’. pp. 67–75. (South Island Dairy Event)

Edwards JP (2018) Comparison of milk production and herd characteristics in New Zealand herds milked once or twice a day. Animal Production Science 59, 570-580.
| Crossref | Google Scholar |

Edwards JP, McMillan N, Bryant RH, Kuhn-Sherlock B (2022) Reducing milking frequency from twice each day to three times each two days affected protein but not fat yield in a pasture-based dairy system. Journal of Dairy Science 105, 4206-4217.
| Crossref | Google Scholar |

European Commission (2007) Attitudes of EU citizens towards Animal Welfare. (European Commission: Brussels, Belgium) Available at https://www.politique-animaux.fr/fichiers/eurobarometer_-_attitudes_of_eu_citizens_towards_animal_welfare-_2007.pdf

Fan B, Bryant R, Greer A (2022) Behavioral fingerprinting: acceleration sensors for identifying changes in livestock health. J 5, 435-454.
| Crossref | Google Scholar |

Fraser D, Weary DM, Pajor EA, Milligan BN (1997) A scientific conception of animal welfare that reflects ethical concerns. Animal Welfare 6, 187-205.
| Crossref | Google Scholar |

Gibb MJ, Huckle CA, Nuthall R (1998) Effect of time of day on grazing behaviour by lactating dairy cows. Grass and Forage Science 53, 41-46.
| Crossref | Google Scholar |

Gregorini P (2012) Diurnal grazing pattern: its physiological basis and strategic management. Animal Production Science 52, 416-430.
| Crossref | Google Scholar |

Hall LS, Bryant RH, Edwards JP (2021) Brief communication: changes to cow behaviour when transitioning from twice a day to a 3-in-2 milking schedule. New Zealand Journal of Animal Science and Production 81, 51-53.
| Google Scholar |

Herbut P, Hoffmann G, Angrecka S, Godyń D, Vieira FMC, Adamczyk K, Kupczyński R (2021) The effects of heat stress on the behaviour of dairy cows – a review. Annals of Animal Science 21, 385-402.
| Crossref | Google Scholar |

Kadzere CT, Murphy MR, Silanikove N, Maltz E (2002) Heat stress in lactating dairy cows: a review. Livestock Production Science 77, 59-91.
| Crossref | Google Scholar |

Matthews LR, Cameron C, Sheahan AJ, Kolver ES, Roche JR (2012) Associations among dairy cow body condition and welfare-associated behavioral traits. Journal of Dairy Science 95, 2595-2601.
| Crossref | Google Scholar |

Munksgaard L, Jensen MB, Pedersen LJ, Hansen SW, Matthews L (2005) Quantifying behavioural priorities – effects of time constraints on behaviour of dairy cows, Bos taurus. Applied Animal Behaviour Science 92, 3-14.
| Crossref | Google Scholar |

Munksgaard L, Weisbjerg MR, Henriksen JCS, Løvendahl P (2020) Changes to steps, lying, and eating behavior during lactation in Jersey and Holstein cows and the relationship to feed intake, yield, and weight. Journal of Dairy Science 103, 4643-4653.
| Crossref | Google Scholar |

Napolitano F, Pacelli C, Girolami A, Braghieri A (2008) Effect of information about animal welfare on consumer willingness to pay for yogurt. Journal of Dairy Science 91, 910-917.
| Crossref | Google Scholar |

Neave HW, Edwards JP, Thoday H, Saunders K, Zobel G, Webster JR (2021) Do walking distance and time away from the paddock influence daily behaviour patterns and milk yield of grazing dairy cows? Animals 11, 2903.
| Crossref | Google Scholar |

Nicol AM, Brookes IM (2007) The metabolisable energy requirements of grazing livestock. In ‘Pasture and supplements for grazing animals’. (Eds PV Rattray, IM Brookes, AM Nicol) pp. 151–172. (New Zealand Society of Animal Production: Hamilton, New Zealand)

O’Driscoll K, O’Brien B, Gleeson D, Boyle L (2010) Milking frequency and nutritional level affect grazing behaviour of dairy cows: a case study. Applied Animal Behaviour Science 122, 77-83.
| Crossref | Google Scholar |

O’Driscoll K, Gleeson D, O’Brien B, Boyle L (2011) Does omission of a regular milking event affect cow comfort? Livestock Science 138, 132-143.
| Crossref | Google Scholar |

Pereira GM, Heins BJ, Endres MI (2018) Technical note: Validation of an ear-tag accelerometer sensor to determine rumination, eating, and activity behaviors of grazing dairy cattle. Journal of Dairy Science 101, 2492-2495.
| Crossref | Google Scholar |

Roche JR, Friggens NC, Kay JK, Fisher MW, Stafford KJ, Berry DP (2009) Invited review: body condition score and its association with dairy cow productivity, health, and welfare. Journal of Dairy Science 92, 5769-5801.
| Crossref | Google Scholar |

Thomson NA, Barnes ML (1993) Effect of distance walked on dairy production and milk quality. Proceedings of the New Zealand Society of Animal Production 53, 69-72.
| Google Scholar |

Tucker CB, Dalley DE, Burke J-LK, Clark DA (2007) Milking cows once daily influences behavior and udder firmness at peak and mid lactation. Journal of Dairy Science 90, 1692-1703.
| Crossref | Google Scholar |