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Dexcel (formerly Dairying Research Corporation), Hamilton, New Zealand
Corresponding author:
J. Roche; e-mail:
john.roche{at}dexcel.co.nz.
| ABSTRACT |
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Key Words: milk production pregnancy pasture reproduction
| INTRODUCTION |
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However, Eley et al. (1978) and Prior and Laster (1979) reported an exponential growth of fetal tissues, with growth and, therefore, energy demand, increasing after 90 d pregnant. In support of this increased energy demand, Bormann et al. (2002) reported a decline in the yield of milk, milk fat, and milk protein, from approximately 90 d in pregnant cows, compared with nonpregnant cows. The difference in production was particularly noticeable during the third trimester of gestation. The report of Bormann et al. (2002) suggests that there is a milk production cost of pregnancy well in advance of 190 d. However, the significance of the difference between milk yields of pregnant and nonpregnant cows was not reported.
Lee et al. (1997) showed a significant relationship between days open (i.e., pregnancy status) and 305-d milk yield, and their report showed that even a slight change in days open (<10 d) had significant effects on milk production. However, they also pointed out that days open alone is probably not an accurate means of assessing the effect of pregnancy, as there is a high probability that it is the higher-yielding cows that have greater days open, thereby biasing the result by up to 70%. Having removed the effect of early lactation milk yield (first 100 d), Lee et al. (1997) still found that pregnant cows produced 265 kg less milk, 9.8 kg less fat, and 9.2 kg less protein than nonpregnant cows over 305 d.
Previous reports outlining the effect of pregnancy on milk production have been based on data from unrelated cows. This paper outlines the difference in milk production and cow BW in pairs of twin dairy cows, where one cow in each pair conceived and the other did not.
| MATERIALS AND METHODS |
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Twin Cows
The Dexcel herd of twin cows is a research resource that is maintained annually by acquiring identical twin calves from producers and rearing them together with other replacement stock. The twin herd is managed as one herd (~ 150 cows, 75 twin pairs). In situations in which one cow of the twin pair becomes pregnant and its identical twin fails to conceive, they are milked through lactation, and then both twins are culled. Hence, actual data on calf birthweight and actual calving date from the pregnant twin was not available.
Farm System
Approximately 60% of the annual pasture production in New Zealand occurs between September and January (Macdonald, 1997). Appropriate matching of herd intake demand with pasture growth and a condensed seasonal calving period (6 to 8 wk) are used to make optimal use of the supply of pasture. The Dexcel twin herd were stocked at three cows/ha and had an average calving date of July 22. To maintain a 365-d calving period, the breeding season, therefore, coincides with wk 12 to 17 of lactation for the majority of cows, and this period (wk 12 to 17) was defined as the breeding season for this study.
Cows were rotationally grazed as one herd. In this intensive grazing system, cows rotationally grazed approximately 30 paddocks of ryegrass-dominant pasture. Cows had access to a fresh allocation of pasture daily and only returned to the same area when a minimum of two leaves had appeared on the majority (>75%) of perennial ryegrass tillers.
Measurements
After calving, cows were milked twice daily at 0730 and 1530 h, and individual milk yields were recorded (Waikato milk meter system, New Zealand). Fat, protein, and lactose concentrations of milk were determined by FT-120 (Foss Electric, Hilleröd, Denmark) on individual p.m. and a.m. samples on 1 d each week. Cows were weighed weekly throughout the year.
Statistical Analysis
The time trends and interaction of time with pregnancy status were analyzed using smoothing spline methods as in Verbyla et al. (1999). Models were fitted using REML. These methods fit smooth, nonlinear curves to the data from the two groups, modeling the trends and the covariance structure of the repeated measurements simultaneously. The formulation of the cubic smoothing splines as linear mixed models enables differences between the two curves to be tested using likelihood ratio tests for the spline components and Wald tests for the linear components. The milk production, milking speed, SCC, and BW data for each week postcalving, and the mean values for each third of lactation (1 to 12, 13 to 25, and 26 to 38 wk) and the breeding period (wk 12 to 17) were then analyzed using ANOVA. All statistical analyses were carried out using the statistical software in Genstat (Genstat 6, 2002).
| RESULTS |
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Although BW began to increase (P < 0.05) in pregnant cows after 25 wk of lactation, mean milk production values were not different across the entire final third of lactation. The negative effect of pregnancy on milk production became apparent late in lactation, with reduced milk yield (0.8 kg/cow per day; P < 0.05) and milk lactose yield (0.04 kg/cow per day; P < 0.05) after 33 wk and lower yields of milk fat (0.06 kg/cow per day; P < 0.05) and milk protein (0.04 kg/cow per day; P < 0.05) after 36 wk of lactation in pregnant cows. After 36 wk, pregnant cows also secreted less (P < 0.001) energy in milk (1.0 Mcal/cow per day).
Fitted splines (Figure 2
) showed a significant interaction between pregnancy status and stage of gestation in the concentration of fat (P < 0.01) and lactose (P < 0.05) in milk, revealing an increased milk fat and lactose concentration in pregnant cows after 30 and 27 wk, respectively. The difference in milk fat concentration between pregnant and nonpregnant cows increased from 0.07 percentage units at 30 wk, to 0.36 percentage units at the end of lactation (38 wk). Similarly, the difference in milk lactose concentration increased from 0.02 percentage units at 27 wk of lactation to 0.12 percentage units at the end of lactation. Fitted splines did not show an interaction between pregnancy status and stage of gestation in the shape of the lactation curve of milk protein concentration, but protein concentration in the milk of pregnant cows was consistently higher (0.05 percentage units; P < 0.001) than milk from nonpregnant cows. In particular, the concentration of milk protein from pregnant cows was significantly higher from wk 24 to the end of lactation (0.06 and 0.16 percentage units from 24 to 32 wk and 33 to 38 wk, respectively; P < 0.05 and 0.001, respectively).
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Fitted splines (Figure 1
) showed an increase (P < 0.01) in BW in pregnant cows as gestation progressed, and this difference was evident as early as 25 wk in lactation (5.2 kg; P < 0.05) and increased linearly (P < 0.01) until the end of lactation (38 wk), when the difference between pregnant and nonpregnant cows was 15.5 kg (P < 0.001). The SCC was not affected by pregnancy status, but the speed of milk flow was reduced (0.2 kg/min; P < 0.01) in pregnant cows from 32 to 38 wk of lactation.
| DISCUSSION |
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Following analysis of DHI data, Bormann et al. (2002) reported higher milk yields and higher yields of milk fat and milk protein in pregnant cows from approximately d 5 to 90 of gestation compared with nonpregnant cows. However, the significance of the difference was not reported. Although milk protein yield was also greater (0.01 kg/cow per day; P < 0.05) in pregnant cows in the study reported here and there was a consistent trend (0.3 kg/cow per day; P = 0.13) towards higher milk yield in pregnant cows before 25 wk of lactation (~90 d of pregnancy), the difference in milk production was small (Table 1
).
Very few studies have examined the effect of pregnancy on milk yield and milk composition, although the effect of days open on lactation yield has been reported (Funk et al., 1987; Lee et al., 1997). It has largely been assumed that the milk production cost of pregnancy occurs through a combination of increased fetal demands for energy from 190 d of gestation onwards (NRC, 2001), and a hormonally mediated partitioning of nutrients away from milk production (Oltenacu et al., 1980). Bell et al. (1995) defined the energy requirements of the gravid uterus from 190 d of gestation, and NRC (2001) proposed that the energy cost of the gravid uterus before 190 d is negligible. Eley et al. (1978) and Prior and Laster (1979) reported an exponential growth of fetal tissues, with growth rapidly increasing after 90 d of gestation (approximately 25 wk of lactation in seasonal herds). This growth of fetal tissue corresponds to the increased BW (5.2 kg) of the pregnant twin cows after 25 wk of lactation in the present study. From DHI data, Bormann et al. (2002) reported a negative effect of pregnancy on milk volume after approximately 90 d of gestation. However, the statistical significance of this difference or the point at which the difference became significant were not reported. In the study reported here, the negative effect of pregnancy on milk yield did not become significant until 33 wk of lactation (~147 d of gestation), even though milk yield was consistently lower in pregnant cows after 30 wk of lactation (~126 d of pregnancy in seasonal herds). Higher concentrations of milk protein after 24 wk, milk lactose after 27 wk, and milk fat after 31 wk of lactation in pregnant cows when differences in the yield of these constituents was not evident until 36, 33, and 36 wk of lactation, respectively, suggests a pregnancy-derived reduction in milk volume earlier than 33 wk. Even so, expenditure of energy in milk did not increase until 36 wk, because yields of fat or protein were not affected by pregnancy until this time. It is possible that the hormonal changes resulting in the rapid growth of the fetus after 90 d also negatively affects milk yield after 90 d of gestation as results presented by Bormann et al. (2002) suggest, but based on the twin comparison this effect is very small (< 0.04 kg) until 147 d of gestation.
Total milk production was not affected by pregnancy in the present study (P = 0.35). However, if differences in milk production occur late in lactation and lactation length is short, as it was in this study, the difference may be too small to be statistically significant over the entire lactation. The negative effect of pregnancy on the production of milk did occur late in lactation in this study and may be the reason why a significant difference, other than milk protein, was not found when the lactation was considered as a whole.
The reduction in milk production in late lactation in the present study is smaller than that reported by Lee et al. (1997). Lee et al. (1997) reported that pregnant cows produced 9.8 kg less fat and 9.2 kg less protein than nonpregnant cows over 305-d lactation, having removed the effect of early lactation (first 100 d) milk yield. In comparison, the twin cows in this study produced 1.3 kg less fat and 0.8 kg less protein between d 252 and 266 of lactation.
It is difficult to determine why the results in the present study are so much smaller than those reported by Lee et al. (1997). The main difference between the two data sets is the additional 39 d of lactation in the report of Lee et al. (1997). Bell et al. (1995) reported a quadratic increase in fetal energy content, with energy deposition increasing by 10% from 190 to 210 d of gestation and in each subsequent 20-d period. Assuming a 10% increase in fetal energy deposition results in a further 10% reduction in maternal milk energy output and assuming a 10% increase in fetal energy deposition between 170 and 190 d of gestation also, 305-d fat and protein yields would be expected to decline by 4.7 and 3.1 kg, respectively, in the present study.
An additional difference between the two studies is the size of the calf. The calves in this study were probably smaller than in the studies reported by Lee et al. (1997) and Bormann et al. (2002). An average calf birthweight of 46 kg in the United States (Bell et al., 1995), would increase the energy demand of the fetus by 18%. This would result in a pregnancy-induced reduction in milk fat and protein of 5.6 and 3.7 kg, respectively.
Furthermore, pregnant cows in this study and in the report of Bormann et al. (2002) were found to have higher milk yields early in lactation. Therefore, the use of early-lactation milk yields, by Lee et al. (1997), to correct for the lower fertility of high yielding cows may also have a reducing effect on the milk yield of the pregnant cows in later lactation. This may have resulted in a greater difference in milk production, between pregnant and nonpregnant cows, than actually exists.
It is not possible to calculate with certainty, from the current study, the effect of pregnancy on 305-d milk production, as it is unclear what effects hormonal differences would have on milk production, and it is likely that these effects would be greater in higher yielding cows than lower yielding. However, from the present data and the data reported by Lee et al. (1997) and Bormann et al. (2002), it is clear that pregnancy reduces milk production in late lactation (after 168 d of gestation or 252 d of lactation in seasonal calving systems) and it is likely that the reduction is between 5.6 and 9.8 kg milk fat/cow and 3.7 and 9.2 kg milk protein/cow over a 305-d lactation. The average lactation length in the seasonal calving, pasture-based systems in New Zealand is 246 d (Dexcel, unpublished data). In such a system, a pregnancy-induced reduction in milk production is unlikely.
The reduced milk yield results reported by Bormann et al. (2002) after 90 d of pregnancy appear to be in conflict with the fetal growth data of Bell et al. (1995) with regards to the timing of fetal energy demands. However, Bormann et al. (2002) did not report when the effect of pregnancy on milk constituents became significant. The results reported in the present study show no effect of pregnancy on milk energy output until at least 168 d of pregnancy (36 wk of lactation), even though milk yield differences may occur earlier. This suggests that the proposed requirements for fetal growth in NRC (2001) are much closer to being correct than the results of Bormann et al. (2002) might suggest. Nevertheless, the reduction in milk component yield in pregnant cows in the present study indicates that pregnant cows reduced the output of energy in milk (NEL) from 0.05 Mcal/cow per day at 147 d to 1.25 Mcal/cow per day at 180 d of gestation. The reduction in energy supply to the mammary gland may be hormonally mediated and may not reflect an energy demand of the fetus (Oltenacu et al., 1980). However, further research is required to more fully understand fetal demands and the effect of pregnancy between 90 to 190 d of gestation.
A major survey in Australia identifying on-farm factors associated with reproductive success reported that cows with a higher milk protein percentage for the first 17 wk of lactation were more likely to be submitted for insemination and more likely to get back in calf (Morton, 2000). For example, cows with a milk protein concentration of 3.5% during the first 17 wk of lactation had an 8-percentage-unit higher submission rate in 3 wk and a 20-percentage-unit higher pregnancy rate after 6 wk of breeding compared with cows with a milk protein concentration of 3.0%. This is consistent with the results of the present study, which indicated that cows that became pregnant had a higher milk protein content during wk 12 to 17 of lactation. Morton (2000) surmised that the correlation between fertility and milk protein concentration was associated with the nutritional status of the cow; improved nutritional status results in higher milk protein concentration, and improved fertility. Morton (2000) proceeded to recommend strategies that improve DMI and BCS, presuming that these were the most likely factors related to nutrition that affect both fertility and milk protein concentration. However, the twin cows in the present study were grazed together with the same nutritional inputs and had a very similar BW and, hence, presumably BCS at the start of lactation and during the breeding season.
The reason why one half of a twin pair that achieved a successful pregnancy should have a non-nutritionally related milk protein concentration higher than the nonpregnant twin is unclear. The consistently higher milk protein concentration in the milk of pregnant cows and the lack of a significant difference in the shape of the fitted spline for milk protein concentration suggests that some factor influencing milk protein production also possibly influences fertility. Although not possible to determine from the present study, it is plausible that this factor is of an endocrine nature. Bauman et al. (1988) demonstrated increased mobilization of body tissue and increased milk production in cows supplemented with bST, probably as a result of increased IGF-1 production (Bauman and Vernon, 1993). Higher concentrations of IGF-1 have also been reported to stimulate ovarian function by acting synergistically with gonadotropins to promote growth and steroidogenesis of ovarian cells (Lucy, 2000). The increased concentration and yield of milk protein, the trend towards higher milk fat and lactose yield, and the reduced BW in cows that became pregnant supports a hypothesis of a greater production or activity of IGF-1 in cows that become pregnant. The reason why IGF-1 concentration would increase in one twin but not another within a twin pair remains unclear.
| CONCLUSIONS |
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Milk protein concentration and yield were actually higher during the breeding season in cows that achieve successful pregnancy. The reason for this association requires further research, in particular examining the role of endocrine factors such as IGF-1.
| ACKNOWLEDGEMENTS |
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Received for publication September 1, 2002. Accepted for publication November 27, 2002.
| REFERENCES |
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