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* Department of Animal Sciences,
Department of Agronomy, and
Department of Dairy Science, University of Wisconsin-Madison, Madison 53706
Spooner Agricultural Research Station, University of Wisconsin-Madison, Spooner 54801
2 Corresponding author: mikolayunas{at}wisc.edu
| ABSTRACT |
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Key Words: dairy sheep grazing supplementation
| INTRODUCTION |
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Temperate regions support mixed grass-legume pastures, which can average more than 20% CP. Pasture CP is highly degradable in the rumen and can lead to the transport of large amounts of NH3-N across the rumen wall. The NH3 is converted to urea in the liver, and excess amounts are excreted in the milk or urine. Although improved pastures are high in levels of RDP, they are low in NFC, which are needed to support microbial growth and the production of VFA and milk. Supplemental grain can provide the NFC needed to utilize pasture RDP in dairy ewes grazing improved pastures.
Two grazing trials were conducted to 1) determine the effect of supplementation of corn and a soybean meal-based pellet on the performance of dairy ewes at different stages of lactation and 2) determine the effect of different levels of corn supplementation on the performance of dairy ewes. In addition, both studies investigated the effects of supplementation treatments on protein utilization, as indicated by MUN levels.
| MATERIALS AND METHODS |
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In addition to the 56 three-year-old ewes in trial 1, 20 two-year-old ewes and 19 four-year-old ewes in late lactation were divided between the unsupplemented and supplemented treatments and managed with the 56 three-year-old ewes during the entire trial. The final analyses of milk production, milk composition, BW change, and BCS change did not include data from these two- and four-year-old ewes because ewe age has a large effect on milk yield, and inclusion of these ewes would have confounded the effects of ewe age and stage of lactation. Composite milk samples from 8 to 10 ewes from each treatment were taken during the trial period and submitted to a commercial laboratory for analysis of MUN levels (24 total composite samples). The two-year-old (n = 5) and four-year-old (n = 10) ewes were among the 18 late-lactation ewes sampled for MUN analysis.
In trial 2, 96 two-, three-, and four-year-old ewes, averaging 112 ± 21 DIM at the start of the trial, were blocked by age (2 yr old or >2 yr old) and randomly assigned to 4 supplementation treatments of 0, 0.41, 0.82, or 1.24 kg of DM/d per ewe of whole corn (7.8% CP, 20.1% NDF). Treatment groups had similar mean milk yields for both the previous milk test and the previous years total lactation. Lamb management and ewe milking schedule were the same as in trial 1. From lambing, all ewes were individually fed 0.82 kg of DM/d of whole corn in the parlor and group-fed an average of 1.9 kg of DM/d of alfalfa silage in a drylot until grazing began on May 25, 2006, when supplementation treatments were started. Supplementation treatments continued for 88 d, until August 21, 2006.
Pastures
Both trials used the same 8.1 ha of pasture, which ranged in composition from a mixture of approximately 60% kura clover (Trifolium ambiguum Bieb.) and 40% orchardgrass (Dactylis glomerata L.) and perennial rye-grass (Lolium perenne L.) to 5% kura clover and 95% orchardgrass, Kentucky bluegrass (Poa pratensis L.), and quackgrass (Agropyron repens L.). The pastures were divided into approximately 0.6-ha paddocks by using a combination of permanent and portable electric fencing. Ewes were moved to a new paddock at 2- to 4-d intervals, which allowed for at least 2.84 kg of pasture DM/ewe per d in 2005 and 3.79 kg of pasture DM/ewe per d in 2006. The interval between grazing events in each paddock was approximately 3 wk. After grazing, each paddock was clipped to a height of approximately 7.5 cm to remove ungrazed forage and allow for consistent regrowth.
Sample Collection, Analysis, and Calculations
Milk yield recording and milk sampling for fat and protein analyses were the same for both trials. Daily milk production of individual ewes was measured weekly with a graduated Waikato Goat Meter (Waikato Milking Systems NZ Ltd., Hamilton, New Zealand) by combining the amount of milk obtained at an evening and subsequent morning milking. Every 2 wk, milk samples from the morning milking were analyzed for percentages of fat and protein (AgSource Milk Labs, Stratford, WI). In trial 1, a compiled milk sample from 8 to 10 ewes in each of the 4 treatment combinations was analyzed every 2 wk for MUN by using a Foss FT6000 (Foss Electric, Hillerød Denmark; AgSource Milk Labs, Stratford, WI). In trial 2, individual milk samples of 8 to 10 ewes per treatment were analyzed for MUN every 2 wk by using an enzymatic procedure adapted from Chaney and Marbach (1962). In the modified procedure, samples were centrifuged (10,000 x g) for 5 min and stored at 2°C for 30 min, and fat was removed with a metal scoupula. Enzymatic analysis of MUN was performed on the supernatant. In both trials, ewes were weighed every 2 wk and body condition was scored once per month (1 = very thin, 5 = very fat; Boundy, 1982). Body weight change and BCS change were calculated as initial BW or BCS minus final BW or BCS, respectively.
Daily milk production, milk fat percentage, and milk protein percentage were used to calculate 6.5% FCM and 6.5% fat- and 5.8% protein-corrected milk (FPCM) based on the following equations developed by Pulina et al. (1989):
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where M is milk yield (kg) and F and P are fat and protein concentration (%), respectively.
In both trials, pasture samples were collected from paddocks approximately twice per week. Four quadrats (0.37 m2) were tossed randomly throughout the paddock before a grazing event, and forage was harvested to 2.5 cm stubble height. Forage samples were weighed and oven-dried (37°C forced-air oven) until they reached a constant weight. In trial 1, a composite of the 4 pregrazing forage samples from each pasture was ground to pass through a 1-mm screen in a Udy cyclone mill (Udy Corp., Fort Collins, CO) before laboratory analysis. Forage, corn, and pellet samples were analyzed for DM, and NDF was determined by using the method of Robertson and Van Soest (1981) as modified by Hintz et al. (1996) and Mertens (2002). In trial 2, a composite of the 4 pregrazing forage samples from each pasture was ground to pass through a 2-mm screen in a Udy cyclone mill before laboratory analysis. Forage and corn samples were analyzed for DM, and NDF was determined by using a neutral detergent solution containing sodium sulfite and
-amylase in an Ankom200 Fiber Analyzer (Goering and Van Soest, 1970). In both trials, CP was calculated as N concentration x 6.25. Nitrogen concentration was determined by rapid combustion (850°C), conversion of all N-combustion products to N2, and measurement by a thermoconductivity cell (Leco Model FP-528, Leco Corp., St. Joseph, MI).
Pregrazing herbage mass (kg of DM/ha) and pasture allowance (kg of DM/ewe per d) were measured by using a rising plate meter placed in 25 random locations throughout the paddock. The plate meter (1,254 g and 0.16 m2) was calibrated to each pasture by correlating the DM and rising plate reading of 20 clipped samples as described by Bransby et al. (1977). Pasture calibration was repeated twice in both the early and mid-grazing season to account for changes in pasture composition and maturity over time. Postgrazing pasture residue was estimated once per week with the rising plate meter to verify sufficient pasture allowance.
Statistical Analyses
In trial 1, milk production and milk composition were analyzed by using the MIXED procedure of SAS (version 8.2, SAS Institute Inc., Cary NC) for a factorial design with repeated measures. The model for these repeated measures included the fixed effects of stage of lactation, supplementation treatment, test date, and their 2- and 3-way interactions; the random effects of ewe and residual; and an autoregressive covariate for repeated measures on each ewe. Body weight change, BCS change, and MUN were analyzed by using the MIXED procedure of SAS (version 8.2). The model included the fixed effects of stage of lactation, supplementation treatment, their interaction, and the random residual. All values presented are least squares means and standard errors of the mean, and significant differences between least squares means were declared at P < 0.05 unless otherwise noted. Pasture CP was related to MUN by using the CORR procedure of SAS.
In trial 2, milk, fat, and protein production; milk composition; and MUN were analyzed by using the MIXED procedure of SAS (version 9.1, SAS Institute Inc.) with repeated measures for a completely randomized design. The model included the fixed effects of supplementation treatment, test date, their interaction, and ewe age (2 yr old or >2 yr old); the random effects of ewe and residual; and an autoregressive covariate for repeated measures on each ewe. Body weight change and BCS change were analyzed by using the MIXED procedure of SAS, and the model included the fixed effect of supplementation treatment and the random residual. All values presented are least squares means and standard errors of the mean. Differences between least squares means were calculated by using a Tukey-Kramer adjustment for multiple comparisons of means. Significant differences were declared at P < 0.05 unless otherwise noted. Orthogonal contrasts were calculated in PROC MIXED to evaluate linear and quadratic responses to the level of supplementation.
| RESULTS AND DISCUSSION |
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Late-lactation ewes had a greater (P = 0.006) milk protein percentage than early-lactation ewes (5.02 vs. 4.86%, respectively; Table 3
). This supports previous reports in which milk protein percentage increased throughout lactation as milk production decreased (Cappio-Borlino et al., 1997). Unsupplemented ewes had a higher (P = 0.001) milk protein percentage than supplemented ewes (5.04 vs. 4.84%, respectively; Table 3
).
MUN.
Milk urea N levels are closely related to blood urea N levels in sheep and can be used as an indicator of protein utilization (Cannas et al., 1998). In trial 1, there was no effect of stage of lactation or supplementation on MUN levels (Table 3
). Trial MUN values ranged from 18 to 34 mg/dL and were generally higher than the recommended levels for sheep (14 to 22 mg/dL; Cannas, 2002), indicating excess N or insufficient energy intake. This may be partially explained by the high CP content of the pastures, which ranged from 16 to 30% CP.
The utilization of dietary protein depends on both protein and energy intake (Oltner and Wiktorsson, 1983). Across all treatments, the correlation between pasture CP and MUN was 0.65. Within the unsupplemented treatment, the correlation (0.78) was numerically higher, but not significantly different, from the correlation within the supplemented treatment (0.52; Figure 4
). Unsupplemented ewes were more dependent on pasture for both protein and energy than were supplemented ewes, so a higher correlation between pasture CP and MUN would be expected in unsupplemented ewes. Supplemented ewes had energy available from the concentrate to use dietary protein, but the supplement also was 16.5% CP, confounding the effects of energy from the supplement on protein utilization from the pasture.
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BW and BCS Change.
There were no significant interactions between stage of lactation and supplementation treatment for BW change or BCS change. Body weight loss during the trial was greater (P = 0.007) in unsupplemented ewes compared with supplemented ewes (–15.39 vs. –9.99 kg, respectively; Table 3
). The Cornell Net Carbohydrate and Protein System (Cannas et al., 2004) predicted that the unsupplemented ewes would lose 7.38 kg more BW than the supplemented ewes during the trial, which is similar to the observed 5.40 kg of BW loss in the unsupplemented ewes compared with the supplemented ewes. Changes in BCS reflected changes in BW; unsupplemented ewes had a more (P = 0.001) negative change in BCS than did supplemented ewes (–0.11 vs. –0.61, respectively) during the trial.
There was no difference in BW change for ewes in early and late lactation (Table 3
). However, ewes in early lactation tended (P = 0.07) to lose more body condition compared with ewes in late lactation (–0.49 vs. –0.23, respectively). Loss of body condition in early-lactation ewes can be attributed to energy demand for greater (P = 0.001) daily milk production (Table 3
).
Trial 2
Milk Production and Composition.
Average daily milk production increased (P < 0.001) linearly in response to increased amounts of corn grain supplementation (Table 4
). Ewes supplemented with 0.41, 0.82, and 1.24 kg of DM/d per ewe of corn produced 1.5% (not significant), 8.5% (P < 0.05), and 10.8% (P < 0.05) more milk, respectively, than did unsupplemented ewes. Reis and Combs (2000) observed a similar linear increase in milk yield in dairy cattle in response to an increase in the amount of corn-based supplement. The milk yield response to increased amounts of corn supplementation in the present trial may be the result of increased energy available for microbial growth, stimulating the production of glucogenic precursors, such as propionate for lactose production in the mammary gland. In addition, increased microbial growth from supplemental starch may have reduced the ruminal NH3 load, thus decreasing the energy cost for ureagenesis.
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Milk protein percentage tended to increase (P = 0.07) linearly with increasing corn supplementation (Table 4
). These results are supported by Cannas et al. (2003), who reported a positive association between milk protein and dietary energy concentration in dairy ewes. Total protein production increased (P < 0.001) linearly with increased supplementation level, primarily because of increased milk yield as the supplementation amount increased.
The increased level of corn supplementation resulted in a linear increase in FCM (P = 0.012) and FPCM (P = 0.006). Reis and Combs (2000) noted a similar effect of corn supplementation on yields of 4% FCM and SCM in dairy cattle. These results are particularly relevant for dairy sheep because the primary use of sheep milk is in cheese production, and protein and fat content are important in determining cheese yield.
MUN.
Milk urea N levels decreased quadratically (P = 0.005) as the level of corn supplementation increased (Table 4
). The MUN levels of the 3 treatment groups receiving corn supplementation were lower (P < 0.05) than the MUN level of the unsupplemented ewes. Cannas et al. (2003) found that dairy ewes on high NFC diets (35% of DM) had lower MUN concentrations than ewes on low NFC diets (23% of DM).
These results support the idea that increased N utilization through microbial growth can be attained by increasing carbohydrates in diets high in RDP. In a summary of nutrition studies on dairy sheep, Giovanetti (2006) found that the concentration of milk urea could be predicted by the ratio of CP to NEL. This predictive equation is based on pen-feeding studies conducted with stored feeds, but our results suggest the potential for creation of a predictive equation for MUN based on grazed forages.
BW and BCS Change.
Body weight change during the trial was linearly (P = 0.022) related to the level of supplementation (Table 4
). Only the 1.24 kg of DM/d treatment resulted in an increase in BW. Changes in BCS reflected changes in BW and were linearly (P = 0.007) related to the level of supplementation (Table 4
).
Trial Comparison
Milk Yield.
Even though the 2 trials were conducted in different years, the similarity in daily milk yields of unsupplemented ewes in trials 1 and 2 (1.36 vs. 1.30 kg/d, respectively) suggests that the net effects of pasture, climatic, and other environmental factors influencing milk yield were similar between the 2 years. This allowed some observations and comparisons to be made between trials.
When comparing milk yield response to supplementation of 0.82 kg of DM/d per ewe, supplementation with CSBM in trial 1 resulted in a milk yield increase of 0.23 kg/d, whereas supplementation with corn alone in trial 2 resulted in an increase of 0.11 kg/d. The larger response to the CSBM may be due to a positive effect of RUP on milk yield. Soybean meal contains 23% RUP (as a percentage of DM), whereas whole corn contains 4% RUP (as a percentage of DM; NRC, 2001). Both trial groups grazed pastures averaging more than 20% CP, and pasture protein degradability can be high (>70%; Holden et al., 1994). Therefore, the increased effect on milk yield from CSBM supplementation suggests a benefit of RUP in dairy sheep diets. In confinement, supplementation of rumen-protected Met and Lys increased milk yield in dairy ewes (Sevi et al., 1998). In dairy cattle on pasture, the results of supplementing RUP sources have been mixed (Bargo et al., 2003).
Another reason for the positive milk yield response to CSBM may have been due to additional energy if the supplemental protein was used for gluconeogenesis. However, in trial 2, supplementation with the highest level of corn (1.24 kg of corn DM/d per ewe) and a high amount of energy increased milk yield by only 0.14 kg/d above that of the unsupplemented treatment. The larger milk yield response to CSBM supplementation in trial 1 further supports the role of RUP in increasing milk yield in dairy ewes.
MUN.
Milk urea N values were higher in trial 1 than in trial 2 (Tables 3
and 4
). Higher average pasture CP percentages in trial 1 compared with trial 2 (+3.6%; Table 2
) and higher protein in the CSBM supplement in trial 1 compared with the corn in trial 2 accounted for some of this difference. However, even at similar levels of pasture CP percentages, the unsupplemented treatments in trial 1 had higher MUN values than the unsupplemented treatment in trial 2. Differences in MUN values may be due to differences in analytical procedures between trials. Trial 1 MUN values were determined with a Foss FT6000, whereas trial 2 MUN values were determined by an enzymatic procedure, and values were determined in different laboratories in each trial. Estimates determined by these 2 methods and in these 2 laboratories may not be comparable. Even when using the same analytical method (Foss FT6000), Peterson et al. (2004) found that MUN recovery was inconsistent across laboratories and that recovery was more than 100% in some laboratories. However, the MUN results from trial 2 still suggest that increased supplemental energy from corn alone can improve pasture protein utilization.
Cost of Supplement
Sheep milk was valued at $1.22/kg in Wisconsin in 2006 (Wisconsin Agricultural Statistics Service, 2006). In trial 1, supplemented ewes produced 0.23 kg/d more milk than unsupplemented ewes, increasing income by $23.01 during the trial period. If 0.82 kg of DM of CSBM supplement is provided each day for 82 d at a price of $147/ton, the net return over supplement cost is $9.25/ewe, and supplementation is profitable as long as the supplement costs less than $0.27/kg. Based on a corn price of $2.96/bu or $0.117/kg (Iowa Department of Agriculture and Land Stewardship, 2007), the economic return of supplementing 0.41, 0.82, and 1.24 kg of corn DM/d per ewe above no supplement in trial 2 would be –$2.65, $2.22, and $0.52/ewe, respectively, during the 88-d trial period. Breakeven prices for corn grain with supplementation at 0.41, 0.82, and 1.24 kg of corn DM/d per ewe are $0.052, $0.144, and $0.121/kg, respectively.
| CONCLUSIONS |
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| FOOTNOTES |
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Received for publication June 20, 2007. Accepted for publication December 29, 2007.
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