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* Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11,222, New Zealand
Dexcel Limited, Private Bag 3,221, Hamilton, New Zealand
1 Corresponding author: r.hickson{at}massey.ac.nz
| ABSTRACT |
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Key Words: persistency once daily milking milking frequency
| INTRODUCTION |
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Dependence on pasture as a feed source in New Zealand has contributed to a concentrated national calving period, causing the period of peak production to coincide for many cows. Consequently, supply to milk processors varies considerably during the year, from large quantities during the spring peak to very low quantities during winter. This creates inefficiencies in the milk-processing system, so methods of distributing the national milk yield more evenly throughout the year are of interest to both dairy producers and milk processors. Once-daily milking has been identified as a method of reducing peak yields while having little effect on production during later lactation relative to twice-daily herds (Harding et al., 1990). Other studies, however, have identified a greater difference in production between once- and twice-daily herds during late lactation than in early lactation (Claesson et al., 1959), indicating that the persistency of cows milked once daily is less than that of cows milked twice daily. Harding et al. (2002) observed that some cows dried off very early in lactation when milked once daily, indicating that persistency of lactation may be a problem in once-daily milking systems. Persistency of lactation is a measure of the rate at which milk production declines after peak yield (Turner, 1925; Togashi and Lin, 2003) and can be quantified by using a variety of measures. Persistency of lactation has not been extensively studied in the once-daily system, but because of the smaller peak yields, and the early drying off of some cows, persistency of lactation may be an important determinant of the total yields of cows milked once daily.
The objectives of this study were to identify effects of once-daily milking at a greater stocking rate in Friesian and Jersey herds on 1) total yields, 2) persistency of lactation, and 3) correlations between persistency of lactation and total and peak yields, using 3 different measures of persistency.
| MATERIALS AND METHODS |
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Once allocated to a herd, each cow remained in that herd until culled. Cows were culled for failing to conceive within the mating period, high SCC, or health problems, with minimal culling based on production. Culls were replaced by 2-yr-old heifers of the appropriate breed and breeding worth, with the annual replacement rate set at 20% to ensure that the herds had similar age structures. The number of complete lactation records collected was 100 for the Friesians milked once daily; 85 for the Friesians milked once daily; 119 for the Jerseys milked once daily; and 101 for the Jerseys milked twice daily.
Measurements
Individual milk yields were recorded automatically at each milking. Milk composition (fat, protein, and lactose) was measured in individual cow samples at biweekly (every 2 wk) intervals throughout lactation using a Milkoscan 133B milk analyzer (Foss Electric, Hillerød, Denmark), calibrated for different matrix effects of milk from different breeds. The SCC for individual cows was measured every 2 wk using a cell counter (Fossomatic, Foss Electric). Calving date and age were recorded for each cow.
A cubic spline (with 5 knots) was fitted to each lactation of each cow (SAS Inst. Inc., Cary, NC) to provide a continuous lactation curve for milk, lactose, protein, and fat. Daily yields were predicted using these splines for each day from calving to drying off. Total yields, peak yields, and days of peaks were calculated based on these predicted daily yields.
Three measures of persistency were used. The first measure (Pers1) was based on that developed by Turner (1925) and involved dividing the period from peak daily yield to drying off into 7 equal-length periods. Percentage of a previous period of production remaining was calculated for periods 2 to 7, and the percentages averaged to get Pers1:
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where Pi = total yield in period i.
A second measure (Pers2) was based on that used in the Canadian dairy sire evaluation system (Murray and Brand, 2000). The Pers2 was calculated as production 20 d before dry off divided by peak production and multiplied by 100 to get the percentage value. Day of peak varied for the different milk components and among cows, whereas day of dry off varied only among cows.
A third persistency measure (Pers3) was developed by Kamidi (2005), and involved fitting a quadratic polynomial to the cumulative yield of each cow, and finding the deceleration in yield during lactation (the second derivative, 2
). Kamidi (2005) used the formula [persistency = 100(1 + 2
)] to convert the deceleration constant (
) to a percentage measure of persistency. The range of values of
calculated for the cows had a very low variance, which meant that such a large-scale transformation (x 100) brought the values for persistency into a very small range. Instead, the
values were transformed to give a normal distribution of Pers3, using the equation
![]() |
where
i is the ith value of
,
is the mean value of
, and
is the standard deviation of the
values.
For all persistency measures used, a greater value corresponded to better persistency.
Statistical Analyses
Yields were normally distributed. Parameters of the lactation curve for each cow were analyzed using PROC MIXED for repeated measures (SAS Institute Inc.). The model included year, breed, and milking frequency as fixed effects, with age, age2, and deviation from average calving date fitted as covariates. Interactions between year, breed, and milking frequency were considered. The random effect of cow also was included. Correlations between persistency and yields were calculated using the PROC CORR procedure (SAS Institute Inc.).
| RESULTS |
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0.05) on total yield, peak yield, and day of peak yield for all milk components. Breed affected (P
0.001) total yields and peak yield for all milk components, and day of peak protein and fat yields, whereas breed x milking frequency interaction (P
0.05) altered total and peak yields of all milk components.
Friesians milked twice daily had the greatest (P
0.05) mean total yield per cow for all milk components (Table 1
). Jerseys milked once daily had the lowest (P
0.05) total yields for all components, although total fat yield was not different from that of Friesians milked once daily. Total yield of Friesians milked once daily did not differ from yield of Jerseys milked twice daily for lactose and protein, but was greater (P
0.05) for milk volume and lesser for fat yield. In addition to the variation in mean yield, the herds differed (P
0.05) in their range of production among cows, with Friesians milked once daily having greater (P
0.05) variations in yield than Friesians milked twice daily (Table 1
). The best Friesian cow milked once daily produced almost as much milk and milk components as the best Friesian cow milked twice daily, but the worst Friesian cow milked once daily produced much less milk and milk components than the worst Friesian cow milked twice daily. The range between best and worst cows was similar between the Jersey herds, with the best and worst Jerseys milked once daily producing less than the best and worst Jerseys milked twice daily, respectively.
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0.05) for the Friesians milked twice daily and smallest (P
0.05) for the Jerseys milked once daily for all milk components (Table 1
0.05) mean peak yields than the Jerseys milked twice daily for milk volume and lactose, but was not different for peak protein yield and was less (P
0.05) for peak fat yield. The once-daily herds reached peak milk yield and peak lactose yield earlier (P
0.001) than the twice-daily herds for both breeds, but this difference was not detected for protein and fat peaks. Peak yields for all milk components were achieved within 5 d of each other within Friesian herds, but were spread over 12 d in Jersey herds, with the peak fat yield occurring last.
Persistency of Lactation
The twice-daily herds had better (P
0.05) persistency of lactation than the once-daily herds for Pers1 and Pers2. Effect of milking frequency differed (P
0.05) for all persistency measures, except Pers3 for fat yield. Neither breed nor breed x milking frequency interaction affected Pers1 or Pers2, but breed affected (P
0.05) the Pers3 of milk, lactose, and protein production, for which Jersey herds had better (P
0.001) persistency than Friesian herds. The values of the measures of persistency of lactation are in Table 2
.
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0.05) only for Jerseys milked once daily, whereas correlations between Pers3 and total yield were significant (P
0.05) in all herds, except for Jerseys milked once daily, and in Jerseys milked twice daily for milk and protein (Table 3
0.05) on the correlation between Pers2 and total yield for protein and fat. Correlations were positive for Pers1 and Pers2, but negative for Pers3.
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0.05). Values of Pers1 and Pers2 were correlated (P
0.01) with peak yield in the Friesian herds, and Pers3 was correlated (P
0.001) with peak yield in all the herds (Table 4
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| DISCUSSION |
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Persistency of lactation refers to the ability of the cow to maintain production after peak yield (Togashi and Lin, 2003; Kamidi, 2005). Cows with flatter lactation curves have greater persistency than cows that show a large decline in production after peak. Cows that produce milk steadily throughout lactation are preferred to cows that produce large quantities of milk at peak, but little thereafter (Wood, 1967), although production of all pasture-fed cows fluctuate with pasture growth (Kamidi, 2005). Persistency is particularly important to total yield. In New Zealands seasonal dairying system, persistent lactations are preferred to those with high peak yields as a means of achieving high production because they improve the processing efficiency of New Zealand milk. Persistency of lactation of grazing cows in New Zealand is dependent on the availability of pasture during lactation. Rate of decline in milk yield after the peak is faster in these pasture-fed cows than in cows fed adequate concentrate rations. Variability in pasture growth rates during summer and fall can induce variability in the persistency of lactation (Holmes et al., 2002).
Whereas persistency is relatively easy to assess qualitatively, it is more difficult to measure quantitatively (Turner, 1925). Measures of persistency define the rate of decline in milk yield over lactation (Turner, 1925), measure relative yields for peak yield, mean daily yield, total yield, or daily yield at dry off (Bar-Anan et al., 1985; Keown et al., 1986; Murray and Brand, 2000) or evaluate the distribution of milk secretion throughout lactation (Togashi and Lin, 2003; Kamidi, 2005). The 3 persistency measures used in this study provided a selection of different measures of persistency that highlighted the importance of selecting an appropriate persistency measure.
Tendency for once-daily cows to have worse persistency than cows milked twice daily indicates that once-daily milking at a 17% greater stocking rate does not offer a solution to the processing inefficiencies caused by the seasonality of milk supply in New Zealand. Adjusting the stocking rate may alleviate the reduction in persistency. Conversely, in the Jersey herds, production per hectare was similar between the 2 milking frequencies, indicating that the stocking rate increase was appropriate. Friesians milked once daily failed to match the Friesians milked twice daily for production per hectare, indicating that further manipulation of the stocking rate for Friesian cows milked once daily may be required. Generally, at a greater stocking rate, less feed is available per cow; hence, production per cow is less than it might have been at a lesser stocking rate. In the pastoral system, production per hectare is often the parameter to be maximized; hence, increased stocking rate (and reduced yields per cow) may be profitable (Holmes et al., 2002).
Persistency is determined by the rate of milk secretion on each day of lactation after peak. On any day, rate of milk secretion by a cow is dependent on its genetic potential for milk production and a range of environmental influences such as BW, BCS, age, health, stage of gestation, feed intake, season, temperature, and humidity (Turner, 1925; Togashi and Lin, 2003). Substantial variation in the shape of individual lactation curves has been observed within herds (Olori et al., 1999), so variation in persistency among cows is likely. In the current study, it was hypothesized that cows milked once daily would have longer lactations than those milked twice daily. Cows milked once daily gained more BW and BCS during midlactation than those milked twice daily (Woolford et al., 1985; Lynch et al., 1991; Holmes et al., 1992). This condition could be used during late lactation to support milk yield beyond that achievable with twice-daily milking. Pasture-fed cows milked twice daily often must be dried off to increase BCS before their next calving. In fact, the converse was true, with cows milked once daily dried off early because of low production and high SCC. The SCC of the once-daily herds were approximately twice that of the twice-daily herds (Lacy-Hulbert et al., 2005).
Milk production at any stage of lactation is determined by the number and activity of secretory cells present (Knight and Peaker, 1984; Capuco et al., 2003; Vetharaniam et al., 2003). Numbers of secretory cells are affected by the relative rates of cell proliferation and apoptosis (Capuco et al., 2003). Secretory cells engorged with milk become quiescent until the milk is removed; hence, milking frequency affects secretory cell activity (Vetharaniam et al., 2003). The cells have a finite period for which they can remain quiescent before they begin to regress (Vetharaniam et al., 2003), and are more likely to senesce when longer intermilking intervals are imposed (Capuco et al., 2003). Davis et al. (2000) showed that reduced functional udder capacity that occurs during the latter part of lactation is largely a reduction in the alveolar capacity. This reduction in alveolar capacity may be advanced by longer intermilking intervals in cows milked once daily. Carruthers et al. (1993) found that the loss of tissue after peak was accelerated in Friesian cows milked once daily relative to those milked twice daily, but this effect was much less in Jerseys milked once daily. In goats, the initial decline in milk yield after peak occurred because of reduced numbers of secretory cells, but the decline in late lactation was because of decreased activity of the secretory cells (Knight and Peaker, 1984). Number and activity of secretory cells were not measured in this study, but the worse persistency of the once-daily cows was likely the result of their having lost more secretory cells, and existing cells having less secretory activity, than in the twice-daily cows.
Persistency of lactation, combined with peak yield, determines the total yield of the cow (Turner, 1925). The negative correlation that existed between persistency and peak yield in the Friesian herds explained the absence of a significant correlation between Pers1 or Pers2 and total yields in these herds, because some cows would have had high yields because of having greater persistency and others could have high yields because of having greater peak yields (but low persistency). Values for Pers1 and Pers2 were relatively similar, with the twice-daily herds tending to have greater persistency than once-daily herds, with no significant effect of breed. Values for Pers1 and Pers2 tended to follow a similar pattern to total yields, with Friesians milked twice daily having the greatest and Jerseys milked once daily having the smallest values. Correlations between persistency and total yield were present only in the Jerseys milked twice daily for Pers1 and Pers2, and were similar to the correlation of 0.37 between persistency and total milk yield found in Israeli Holsteins (Bar-Anan et al., 1985). For Pers3, however, the Jerseys milked once daily had the greatest persistency. Jerseys milked once daily had the smallest total yields, whereas Friesians milked twice daily tended to have the smallest Pers3. The negative correlations between total yield and Pers3 found in this study were consistent with others (Kamidi, 2005).
Similarities between Pers1 and Pers2 can be explained by the fact that both of these parameters measure persistency of yield after peak, whereas Pers3 is based on the rate at which total yield is attained (or deceleration of milk secretion). Claesson et al. (1959) observed greater persistency in first-lactation cows milked twice daily than in those milked once daily. This was consistent with Pers1 and Pers2 in this study. The values of
calculated found in the present study were smaller than those calculated by Kamidi (2005), because more of the cows in the present study had desirable, flatter lactation curves. Values of Pers1 were smaller than those presented by Turner (1925), particularly in the once-daily herds. Low persistency achieved by cows in the current study is likely due to a combination of declining feed supply in the summer and fall (mid-late lactation), and the advancing stage of pregnancy.
Cows milked once daily had less production and less persistency of production than cows milked twice daily. Nevertheless, milking once daily may be a viable option for dairy producers willing to accept reduced income from milk in return for more time spent on nonmilking activities, especially when stocking rate is increased to counter the reduction in milk yield per cow. Lack of significant correlations between persistency and total yield in the once-daily herds indicate that increasing the persistency of the herd is unlikely to increase total productivity. Nevertheless, the importance of persistency to processing efficiency of milk in New Zealand shows that persistency of lactation must be considered. Some cows performed well when milked once daily, so there may be potential to select cows that are tolerant to once-daily milking and consequently improve the performance of once-daily herds.
| ACKNOWLEDGEMENTS |
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Received for publication August 16, 2005. Accepted for publication December 21, 2005.
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