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* Department of Animal Science, University of Minnesota, St. Paul 55108-6118
Department of Animal Science, University of Maine, Orono 04469
2 Corresponding author: crook001{at}umn.edu
| ABSTRACT |
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Key Words: milk yield somatotropin insulin-like growth factor-I placental lactogen
| INTRODUCTION |
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Cows experience several endocrine alterations as they transition through each lactation cycle. The relationship between vascular ST and IGF-I during these transitions has been characterized for the contemporary cow (Abribat et al., 1990; Sharma et al., 1994) but apparently not in the same set of cows through this complete series of transitions (Reist et al., 2003). Increased genetic merit for milk yield has been associated with increased serum ST (Beerepoot et al., 1991) and decreased IGF-I (Knight et al., 2004), but other than the early lactation data from Knight et al. (2004), there appear to be no published reports on circulating ST and IGF-I concentrations in cows of different genetic merit that were sampled repeatedly during these transitions.
Placental lactogen (PL) increases during gestation, and the magnitude of this increase has been suggested to have roles in alterations of maternal and fetal metabolism that differ among species (Gootwine, 2004). There is evidence that PL exerts at least part of its effects through the IGF system (Handwerger and Freemark, 2000) and administration of bovine PL to dairy cows has increased circulating IGF-I concentrations (Byatt et al., 1992, 1997; Lucy et al., 1994); however, elucidation of the regulation of PL secretion and its functions remain incomplete (Bertolini et al., 2006). In addition, evaluations of the relationship between endogenous PL and IGF-I in the cow (Holland et al., 1997; Hossner et al., 1997) are scarce, have used few animals, and have not included effects of selection for increased milk yield.
The overall objective of this study was to describe lactational and physiological characteristics of Holstein cows from genetic lines that differ substantially in milk yield. Our specific objective was to determine the effects of genetic selection for milk yield on blood serum concentration profiles of ST, IGF-I, and PL and their interrelationships during lactation and gestation.
| MATERIALS AND METHODS |
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Coccygeal blood samples were collected at 28 ± 7, 14 ± 3, 7 ± 2, 1, 2, 3, 7, 14, 21, and 28 DIM and at 28 ± 3 d intervals thereafter until 280 DIM (nonpregnant) or throughout pregnancy. Cows that conceived after 235 DIM were considered nonpregnant for the purposes of this study. Blood was collected into evacuated tubes (Vacutainer Beckton Dickinson and Co., Franklin Lakes, NJ) and stored overnight at 4°C. Serum was harvested (1,200 x g, 15 min) and stored at 20°C until assayed. All serum samples were analyzed for ST and IGF-I, and all samples collected after conception were analyzed for PL. Samples collected on 28, 14, 7, 2, 7, 21, 28, 56, 84, 168, and 280 DIM were analyzed for NEFA.
Milk samples from the morning milking were obtained at 1, 2, 3, 7, 14, 21, and 28 DIM and at 28-d intervals thereafter until 280 DIM. Milk samples (30 mL) were preserved with potassium dichromate and analyzed for fat, protein, and lactose by infrared analyses and for SCC by fluorescent detection of ethidium bromide incorporation into DNA (Minnesota DHIA, Zumbrota, MN). Body weights were determined at time of blood sampling except at 2 and 3 DIM.
Serum Analyses
Serum IGF-I concentrations were quantified by using a validated double-antibody RIA (Johnson et al., 1996) with slight modifications. Recombinantly derived human IGF-I (H-5555, lot C00219, Bachem, Torrance, CA) was used as the standard and as the iodinated tracer. The IGF-I was iodinated as described by Cohick et al. (1989) with a slight modification. The amount of IGF-I iodinated was reduced to 1 µg and reaction time of IGF-I and I-125 (NEZ-033H, PerkinElmer Life Sciences, Boston, MA) was increased to 5 min. The first antibody (rabbit anti-hIGF-I, UB2-495, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD) and tracer were added to the assay tubes and incubated for 24 h prior to addition of the second antibody (goat antirabbit, lot #35318, Pel-Freez, Rogers, AK). Samples were analyzed in triplicate. The minimal detectable concentration of IGF-I was 0.2 ng/mL of standard or sample added to the assay tubes. Intra-and interassay coefficients of variation were 2.7 and 3.3%, respectively.
Serum PL concentrations were quantified using a validated double-antibody RIA (Wallace, 1993). Recombinantly derived bovine PL (lot bPL 920514-10, Monsanto, St. Louis, MO) was used as standard and iodinated tracer. The PL was iodinated as described by Wallace (1993). Prior to use, the first antibody (USDA anti-bPL F56) was diluted 1:15,000 and the second antibody (sheep antirabbit, cat. #R-6503, Sigma, St. Louis, MO) was diluted 1:16. Samples were analyzed in duplicate. The minimal detectable concentration of PL was 0.5 ng/mL of standard or sample added to the assay tubes. Intra- and interassay coefficients of variation were 9.7 and 10.2%, respectively.
Serum ST concentrations were quantified using a validated double-antibody RIA (Gorewit, 1981). Recombinantly derived bovine ST (SV-3001-B, Pharmacia & Upjohn, Kalamazoo, MI) was used as the standard and as the iodinated tracer. The ST was iodinated as described by Cohick et al. (1989). Prior to use, the first antibody (rabbit anti-oGH2, AFP C0123080, National Institute of Diabetes and Digestive and Kidney Diseases) was diluted 1:20,000 and the second antibody (goat antirabbit, lot #35318, Pel-Freez) was diluted 1:75. Samples were analyzed in triplicate. The minimal detectable concentration of ST was 0.7 ng/mL of standard or sample added to the assay tubes. Intra- and interassay coefficients of variation were 3.1 and 6.8%, respectively.
Serum NEFA concentrations were quantified spectrophotometrically (NEFA-C, Wako Chemicals, Richmond, VA) as described by Sechen et al. (1990) but volumes were adjusted for use in a 96-well plate. Intra-and interassay coefficients of variation were 4.7 and 7.5%, respectively.
Calculations and Statistical Analyses
Daily milk yields were summarized within line and parity by week of lactation (WOL) from 1 to 40 WOL. Milk components were summarized within line and parity from 1 to 280 DIM. Fat- (3.5% FCM) and solids- (4% SCM) corrected milk yields were calculated from milk, fat, protein, and lactose yields (Tyrrell and Reid, 1965). Yields of milk components (kg/d) were determined for each WOL using weekly milk yields and milk composition data determined within the specific week (wk 1 to 4) or within 4-wk intervals. Milk SCC were log transformed before the summaries were conducted. Daily milk yields (1 to 280 DIM) for each cow were fitted to a modified Woods equation (Ferguson et al., 2000) and coefficients used to generate smooth curves. The smooth curves were used to identify peak milk, days to peak milk, and rates of increase (from calving to peak DIM) and decrease (from peak DIM to 280 d) in daily milk yields for each cow. Genetic merit (PTA-milk) of foundation cows and their female offspring were obtained (USDA, May 2005) and summarized by line and year of birth from 1964 to 2003.
Data from multiparous (n = 13 SL, n = 10 CL) and primiparous (n = 17 SL, n = 15 CL) cows that became pregnant prior to 235 DIM were used to evaluate effects of selection for milk yield on endocrine relationships during gestation. During gestation, serum PL, ST, and IGF-I data were analyzed from the first sample collected after conception to calving. Because the sampling scheme was based on DIM, data from the gestation period were reported as means for each 28-d interval postconception (IPC) and analyzed from IPC 1 to 10.
All statistical analyses were conducted with SAS programs (2001, SAS Inst. Inc., Cary, NC). Yields of milk and milk components were analyzed as a completely randomized design by the mixed model procedure for repeated measures and used first order autoregressisive as the covariance structure and WOL as the repeated effect. Milk composition, BW, and serum data were analyzed by the same model but used the spatial power law for unequally spaced data as the covariance structure and DIM or IPC as the repeated effect. The models contained the variable mean, line, parity, WOL (or DIM or IPC), all interactions, and error. Results are reported as least squares means and means differed when P < 0.05.
Pearson correlation coefficients (PROC CORR, SAS Inst. Inc.) were used to evaluate relationships among circulating concentrations of ST, IGF-I, and PL during gestation. The relationship between maternal serum PL and calf birth weight was assessed by linear regression (PROC REG, SAS Inst. Inc.). Correlation and regression coefficients were classified as weak (absolute value < 0.5), moderate (absolute value 0.5 to 0.8), or strong (absolute value > 0.8). For all evaluations, comparisons were considered to differ when P < 0.05.
| RESULTS |
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Percentage of milk fat (Table 1
and Figure 2B
) was greater (P = 0.024) for CL than SL cows (3.86 vs. 3.56 ± 0.09%) and greater (P = 0.011) for primiparous than multiparous cows (3.88 vs. 3.54 ± 0.09%). Percentage of milk protein (Table 1
and Figure 2C
) was greater (P = 0.002) in CL than SL cows (3.53 vs. 3.35 ± 0.04%) and greater (P = 0.005) for multiparous than primiparous cows (3.52 vs. 3.36 ± 0.04%). Percentage of milk lactose (Table 1
and Figure 2D
) did not differ (P = 0.18) between CL and SL cows (4.62 vs. 4.69 ± 0.04%) but was greater (P < 0.001) in primiparous than multiparous cows (4.77 vs. 4.53 ± 0.04%). Milk SCC (Table 2
) averaged 111,000 ± 1,000 cells/mL and varied with DIM (P < 0.001), as SCC decreased from 450,000 during the first 3 WOL to 51,000 at 84 DIM and increased slowly to 110,000 at 280 DIM (data not presented). Milk SCC did not differ between lines (P = 0.76) or parities (P = 0.28), but there were interactions of line and DIM (P < 0.001) and of parity and DIM (P = 0.002).
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Reproductive Performance
Conception occurred at 112 ± 14, 129 ± 16, 94 ± 12, and 123 ± 13 DIM for multiparous SL and CL cows and primiparous SL and CL cows, respectively, and was not affected by parity, line, or their interaction. Three SL primiparous cows carried twins, but there was no indication that their endocrine profiles differed from cohorts that carried a single fetus; therefore, data from these 3 cows were included in the analyses.
BW
Cow BW (Table 1
and Figure 3A
) did not differ between CL and SL (590 vs. 602 ± 10 kg) cows but was greater (P < 0.001) for multiparous than primiparous cows (642 vs. 551 ± 10 kg). There was no interaction of line and parity on BW but there were interactions of WOL within line (P < 0.001) and parity (P = 0.006). There was a trend (P = 0.058) for an interaction of line, parity, and DIM for BW because BW of the primiparous SL cows was greater than BW of the primiparous CL cows from 28 to 28 DIM and because there were interactions of line and DIM (P < 0.001) and of parity and DIM (P = 0.006). By 56 DIM, BW of primiparous SL and CL cows did not differ. The nadir of BW occurred at 29.8 and 35.4 DIM for multiparous CL and SL cows and at 16.6 and 38.6 DIM for primiparous CL and SL cows, respectively. Multiparous SL and CL cows lost similar amounts of BW (51 ± 6 kg) from calving to BW nadir while primiparous SL and CL cows lost 45 and 12 ± 6 kg, respectively. There was no difference in BW between lines during gestation, but BW of multiparous cows was greater (P < 0.001) than BW of primiparous cows and there was an interaction (P = 0.05) of parity and IPC, as BW of primiparous cows increased more rapidly than BW of multiparous cows (data not reported).
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Endocrine Profiles
Serum ST concentrations were affected (P < 0.001) by DIM, as concentrations increased immediately postpartum, remained elevated through 7 DIM, and gradually decreased as lactation progressed (Figure 3C
). Overall concentrations of ST (Table 2
) were greater (P < 0.001) in SL than CL cows (4.7 vs. 3.6 ± 0.2 ng/mL) and did not differ (P = 0.33) between multiparous and primiparous cows (4.2 vs. 4.0 ± 0.2 ng/mL). Serum ST concentrations during gestation (IPC; Figure 4A
and Table 2
) were similar (P = 0.41) for multiparous and primiparous cows (2.9 vs. 2.7 ± 0.2 ng/mL, respectively) but were greater (P < 0.001) in SL than CL cows (3.2 vs. 2.3 ± 0.2 ng/mL). This was true whether the data for SL multiparous cows during IPC 4 and for primiparous SL cows during IPC 5 were included or excluded. There was a trend (P = 0.066) for an interaction of line and IPC because there were no differences between lines during IPC 9 and 10.
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Serum IGF-I concentrations (Table 2
and Figure 4B
) during gestation (IPC) were similar (P = 0.36) for SL and CL cows (150 vs. 144 ± 5 ng/mL) but greater (P < 0.001) in primiparous than multiparous cows (161 vs. 133 ± 5 ng/mL). There was a trend for a line by parity interaction (P = 0.087), as serum IGF-I concentrations were greater in multiparous CL than SL cows (142 vs. 123 ± 5 ng/mL) and similar for primiparous SL and CL cows (164 vs. 158 ± 5 ng/mL, respectively). There was an overall increase (P < 0.001) in serum IGF-I with IPC (primarily from IPC 4 to 9) and there was an interaction (P < 0.001) of line and IPC, as the postconception increase in serum IGF-I was greater in CL than in SL cows.
There was no effect of line (P = 0.80) or parity (P = 0.85) on PL concentrations during gestation but there was an interaction (P = 0.022) of line and IPC, as PL concentrations increased more in CL than in SL cows in late gestation (Table 2
and Figure 4C
). Serum PL concentrations increased (P < 0.001) from IPC 3 to 8, remained relatively stable from IPC 8 to 9, and decreased from IPC 9 to 10. The overall IGF-I and PL serum profiles were very similar during gestation (Figure 4D
). Serum PL increased by IPC 4 and serum IGF-I increased by IPC 5.
Except for ST and PL in CL cows, all correlations between pairs of the 3 hormones within line (n = 237 CL and 284 SL), within parity (n = 297 primiparous and 224 multiparous), or overall (n = 521) were significant (P < 0.05) and all were weak (correlation coefficients were between 0.28 and 0.42). All correlations between ST and IGF-I were negative, with an overall r = 0.23 (P < 0.001), and all correlations between ST and PL were negative, with an overall r = 0.13 (P = 0.003). In contrast, all correlations between PL and IGF-I were positive, with an overall r = 0.29 (P < 0.001). There was no overall relationship (P > 0.27) between serum PL and calf birth weight when assessed for any of the serum PL concentrations between IPC 7 and IPC 10. This was also true for all the line, parity, and line by parity subgroups [P = 0.11 for primiparous CL cows, with a range of 0.19 to 0.95 (mean P of 0.53) for all other subgroups].
| DISCUSSION |
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The increase in days to peak milk and in peak and total milk yields of SL cows are consistent with previous evaluations of effects of selection for milk yield (Kelm et al., 2000; Kay et al., 2005). The rate of increase in milk yield was greater and persistency reduced in multiparous CL cows when compared with multiparous SL cows. These differences appear to be attributable to factors other than genetic selection because they were not observed in our previous studies (Kay et al., 2005; B. A. Crooker, personal communication) or in the general US Holstein population (Kelm et al., 2000). Effects of WOL and parity on milk composition were similar to those expected in well-managed herds. Milk fat and protein percentages were less in SL than in CL cows. This is consistent with previous evaluations of increased milk yield on fat and protein content (Kelm et al., 2000) but has not been observed in all of our previous studies (Kay et al., 2005). Yields of milk components were greater in SL cows because of their greater milk yield. Although increased milk yield is associated with increased SCC and greater prevalence of subclinical and clinical mastitis (Hansen, 2000; Kelm et al., 2000), the low (<110,000 cells from 84 to 280 DIM) and similar SCC for SL and CL cows in this study support the notion that this relationship can be minimized by proper management.
Consistent with our observation that young SL heifers increase their BW more rapidly than CL heifers (Baumgard et al., 2002; Weber et al., 2005), precalving BW was greater for primiparous SL than CL cows. These differences decreased rapidly after calving, and by 56 DIM, BW of primiparous SL and CL cows did not differ. In contrast, BW profiles of multiparous SL and CL cows were similar throughout the study. Profiles of BW during early lactation are not ideal indicators of energy balance because DMI increases as BW decreases. Changes in serum NEFA concentrations, another indirect indicator of energy balance, were consistent with changes in BW of the CL and SL cows. The NEFA and BW profiles indicate that during early lactation, energy balance of primiparous CL cows was greater than that of SL cows and that primiparous SL cows mobilized more tissue than primiparous CL cows. These profiles also indicate that energy balance did not differ substantially between multiparous SL and CL cows, which is consistent with our direct evaluations of energy balance in multiparous SL and CL cows (Crooker et al., 2001).
A positive relationship exists between genetic merit for milk yield and circulating ST concentrations in lactating cows but not in nonlactating cows (Knight et al., 2004; W. J. Weber, unpublished data) or growing heifers (Baumgard et al., 2002; Weber et al., 2005). These results support a physiological role for ST in directing nutrients toward the mammary gland during lactation. The greater ST concentrations in high-merit cows could be a consequence of increased sensitivity to ST-releasing hormone, a reduced clearance of ST from the blood, a reduced negative feedback of IGF-I, or a combination of these factors (Knight et al., 2004). Although there are reports of this positive relationship in growing calves (Lovendahl et al., 1991; Woolliams et al., 1993), there appears to be a consensus that measurements of endogenous ST concentrations in calves or nonlactating cows do not provide an accurate estimate of merit for milk yield (Baumgard et al., 2002; Lovendahl and Klemetsdal, 2004; Weber et al., 2005; Taylor et al., 2006). The episodic release of ST makes results from analysis of single daily samples tenuous, but results from the current study support the existence of a positive relationship between circulating ST and genetic merit in lactating cows and are consistent with results obtained from a more thorough evaluation (samples every 15 min for 7 h) of ST profiles in cows from these 2 lines (W. J. Weber, unpublished data).
The immediate postpartum reduction in IGF-I concentration is consistent with previous reports that serum IGF-I concentrations during the first week of lactation are approximately 35% of prepartum concentrations (Radcliff et al., 2003; Reist et al., 2003; Taylor et al., 2003) and increase slowly toward prepartum concentrations as DIM increases. The decrease in serum IGF-I concentrations as parity increased has been reported (Wathes et al., 2003). Similar to the report of Knight et al. (2004), serum IGF-I in our high-merit SL cows was less than that in low-merit CL cows. This difference persisted through the first 84 DIM, after which IGF-I concentrations were similar between lines for the remainder of the lactation. Serum IGF-I did not differ between lines when summarized by IPC but there were line by IPC and line by parity interactions, as multiparous CL cows had greater IGF-I concentrations than multiparous SL cows during IPC 7 to 9. The lack of a main effect of line during gestation may be a result of the fact that sampling was relative to DIM rather than day of gestation. Although our study was not designed to evaluate differences between pregnant and nonpregnant cows, this comparison indicates serum IGF-I concentrations were greater in pregnant cows in late lactation (data not presented).
Relationships among ST administration, serum IGF-I, and milk yield are well established (Bauman, 2000), but relationships among genetic merit for milk yield and endogenous serum ST and IGF-I during lactation and gestation require additional examination. Serum IGF-I is responsive to nutrient supply (Vicini et al., 1991; McGuire et al., 1995), and Thissen et al. (1994) have suggested that IGF-I can serve as an indicator of nutrient status. It has been suggested that negative energy and nutrient balance are responsible for the early postpartum reduction in serum IGF-I (Vicini et al., 1991; Radcliff et al., 2006). Our 2 indirect assessments of energy balance (BW and serum NEFA profiles) indicate that multiparous CL and SL cows returned to positive energy balance at relatively similar DIM. The more rapid postpartum increase in serum IGF-I in primiparous CL than SL cows could be attributed to their apparent more rapid return to positive energy balance; however, serum IGF-I also increased more quickly in multiparous CL than SL cows despite their apparent similarity in energy balance. These results support the concept that nutritional status is not the only factor responsible for the prolonged duration of reduced serum IGF-I in the contemporary, high-merit cow (Kim et al., 2004; Radcliff et al., 2006).
Although the similar positive nutritional status, similar serum IGF-I concentrations, and greater serum ST concentrations in SL cows in late lactation and gestation could be interpreted as an indication that the relationship between serum ST and IGF-I is attenuated, these results could be influenced by the fact that samples were collected relative to DIM rather than day of gestation. Examination of other endocrine signals, such as insulin (Rhoads et al., 2004), and of components known to influence the somatotropic axis (Kim et al., 2004) is needed to delineate the relationships among genetic merit for milk yield, ST, and IGF-I during lactation.
The observed PL profiles are consistent with previous reports (Wallace, 1993; Hossner et al., 1997; Bertolini et al., 2006) that serum PL increased after 60 d of gestation, peaked at 215 d of gestation, and decreased gradually until parturition. The negative correlations between ST and IGF-I and between ST and PL during gestation are a result of the relatively constant ST concentration and the increase in IGF-I and PL during this interval. The positive correlation between PL and IGF-I, the nearly identical PL and IGF-I serum profiles, and the earlier gestational increase in PL support the concept that PL may play a role in regulating serum IGF-I in the pregnant cow (Hossner et al., 1997; Handwerger and Freemark, 2000). Indeed, when exogenous recombinant bovine PL was administered to cows, serum IGF-I increased (Byatt et al., 1992, 1997; Lucy et al., 1994). The correlation between PL and IGF-I in our study was weak, which indicates PL is one of several factors involved in the regulation of serum IGF-I concentrations during gestation. A negative relationship between serum PL and IGF-I has been reported in nulliparous beef heifers (Hossner et al., 1997). These nulliparous heifers were on pasture and losing body condition as gestation progressed (Hossner et al., 1997). It is likely that their reduced nutritional status also contributed to the decrease in serum IGF-I and the negative relationship between serum IGF-I and PL as gestation progressed.
Genetic merit for milk yield had no effect on serum PL concentration. To our knowledge, this is the first direct evaluation of the effects of genetic merit on serum PL in dairy cows. Previous evaluation of our genetic lines indicated the SL cows have larger mammary glands than the CL cows (Petersen et al., 1985). Our results indicate that although serum PL concentrations have been associated with mammary development and function in other species (Gootwine, 2004), they are not related to the increased mammary size and greater milk yield achieved by the dairy cow through the past 40 yr of genetic selection. Although the study was not designed to evaluate effects of twinning on serum PL and our number of calves was relatively small to assess effects of PL on calf birth weight, our limited observations indicate there was no obvious effect of twinning on serum PL and no relationship between serum PL and birth weight.
| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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| FOOTNOTES |
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Received for publication December 27, 2006. Accepted for publication March 13, 2007.
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