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,1

* Dairy Production Research Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland
School of Agriculture, Food Science and Veterinary Medicine, UCD, Belfield, Dublin, Ireland
Institut National de la Recherche Agronomique, Unité Mixte de Recherche, Production du Lait, St Gilles, France
1 Corresponding author: mary.mcevoy{at}teagasc.ie
| ABSTRACT |
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Key Words: herbage allowance concentrate supplementation milk production dairy cow
| INTRODUCTION |
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In Ireland, grass growth is seasonal, with little net growth in the November to January period. Therefore, in early spring the grass supply is generally not sufficient to meet the cows demand. As a result, it is necessary to supplement a grass-based diet with concentrate, first, to ensure the cow is offered adequate feed allowance in early lactation, second, to maximize milk output per cow, and third, to budget the available feed to ensure that the first grazing rotation is not completed before mid-April. Supplementing animals with concentrate has been shown to increase total DMI, and therefore total energy intake (Horan et al., 2006). Concentrate supplementation will allow the animal to express a greater proportion of her milk production potential with minimal BW losses, especially in high-producing dairy cows (Delaby et al., 2001).
Substitution rate (kg/kg) is the decrease in pasture DMI per kilogram of supplement feed offered. The substitution rate is greater at higher DHA but is affected by other factors such as cow genetic merit (Horan et al., 2006), concentrate allowance (Stockdale, 2000b), pasture quality, parity, and stage of lactation (Bargo et al., 2003). Milk response (MR) to concentrate supplementation, which is the increase in milk yield per kilogram of concentrate offered, is reportedly lower in spring compared with summer (Stockdale, 1999) because of the higher energy content of spring grass. Low substitution rates will result in greater MR to the supplement offered, thus making it more economical to offer the supplement to the animals.
Kennedy et al. (2007c) found no differences in milk yield between cows offered 13 kg of DM/cow per d or 16 kg of DM/cow per d in early lactation when 4 kg of DM concentrate was offered. The question remains, however, when pasture constitutes a large proportion of the diet, what is the optimal concentrate level to offer dairy cows in early lactation? The objective of this study was to investigate the effect of concentrate level and DHA on milk production and DMI of spring-calving dairy cows in early lactation.
| MATERIALS AND METHODS |
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Animals and Experimental Design
The experiment investigated the effect of offering 3 levels of concentrate (0, 3, or 6 kg of DM) and 2 levels of DHA (13 or 17 kg of herbage DM/cow per d), which resulted in 6 grazing treatments. Treatments were imposed for an 11-wk period. The experiment was a randomized block design with a 2 x 3 factorial arrangement of treatments. Seventy-two Holstein-Friesian dairy cows (24 primiparous and 48 multiparous) were selected from the Moorepark spring-calving dairy herd and balanced on calving date (February 2; SD 9.4 d), lactation number (2.5; SD 1.65), first 10-d milk yield of the present lactation (25.7; SD 4.67 kg), BW (541; SD 77.5 kg), and BCS (2.9; SD 0.49). Animals were then randomly assigned to 1 of the 6 grazing treatments from February 20 to May 7, 2006 (period I). Animals were divided into 2 herds (n = 36) and were offered 1 of 2 DHA: 13 kg of DM/cow per d [low (L)] or 17 kg of DM/cow per d [high (H); > 4 cm]. These 2 herds were further subdivided into 3 herds (n = 12) and were offered no concentrate (0), 3 kg of concentrate (3), or 6 kg of concentrate (6) DM/cow per d. Concentrate was offered in the milking parlor in 2 equal feeds at both the morning and evening milking. The concentrate composition on a fresh weight basis was ground citrus pulp, 0.305; barley, 0.237; maize gluten, 0.249; soybean meal, 0.14; vitamins-minerals, 0.043; and fat, 0.026. The chemical analysis of the concentrate is shown in Table 1
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Grazing Management
The experimental grazing area consisted of 25.6 ha, divided into 12 paddocks. The area was closed in rotation the previous autumn. Fresh herbage was allocated to each individual herd on a daily basis after the morning milking. No access to the previous days grazing area was allowed throughout the experiment. During period I, half of the paddocks were randomly assigned to the low-DHA treatment, with the remaining half assigned to the high-DHA treatment. Cows in the low herbage allowance treatments (L0, L3, and L6) grazed as 3 separate herds adjacent to one another, separated by temporary electric wires, as did the animals offered a high DHA (H0, H3, and H6). Two grazing rotations were completed during period I. Individual herds did not regraze the exact area within a paddock in the second rotation, as was grazed in the first rotation. During period II, the 2 treatments (MM and MH) grazed adjacent to one another, separated by a temporary electric wire. Four grazing rotations were completed during period II; mechanical topping to 5.0 cm of the entire experimental area was completed during the second rotation of period II. Paddocks were dusted with Cal-Mag (Inform Nutrition, Cork, Ireland) on a daily basis to ensure adequate intake of calcium and magnesium in the early-lactation period.
Sward Measurements
Herbage Mass Determination.
Herbage mass ( > 4 cm) was calculated by cutting 4 strips (1.2 x 10 m) for each herbage allowance area twice weekly with an Agria machine (Etesia UK Ltd., Warwick, UK) to determine sward density and herbage mass. Ten grass height measurements were recorded before and after harvesting on each cut strip by using an electronic plate meter (Urban and Caudal, 1990) with a plastic plate (30 x 30 cm and 4.5 kg/m, Agrosystèmes, Choiselle, France). All mown herbage from each strip was collected, weighed, and subsampled (approximately 0.5 kg). A further sub-sample of 0.1 kg of fresh weight of the herbage sample was dried for 16 h at 90 ° C for DM determination. On the basis of the above measurements, it was possible to calculate the sward density:
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Chemical Analysis.
Selected herbage samples were collected on a weekly basis during period I and period II for the low- and high-DHA treatments (n = 2) by using a Gardena (Accu 60, Gardena International GmbH, Ulm, Germany) hand shears. Samples were stored at – 20 ° C before being freeze-dried and milled through a 1-mm sieve prior to chemical analysis. The herbage samples were analyzed for DM content, ADF, NDF (Van Soest, 1963), ash, CP (Leco FP-428, Leco Australia Pty Ltd., Baulkham Hills, New South Wales, Australia), and OM digestibility (Morgan et al., 1989). The chemical analyses of the selected herbage during periods I and II are shown in Tables 1
and 2
, respectively. Concentrate samples, collected on a weekly basis during period I, were stored at – 20 ° C and analyzed for DM content, CP, crude fiber, NDF, and ash content. The chemical analysis of the concentrate is shown in Table 1
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Herbage Utilization.
Herbage mass utilization was calculated according to the method described by Delaby and Peyraud (1998). Herbage removed (kg of DM/cow per d) was calculated with the following equation: herbage removed = (pregrazing sward height – postgrazing sward height) x sward density x (area grazed/cow per d). In this experiment, DHA was calculated as > 4 cm. Therefore, if animals grazed below 4 cm, this represented > 100% utilization.
Animal Measurements
Milk Production.
Milking took place at 0700 h and 1600 h daily. Individual milk yields (kg) were recorded at each milking (Dairymaster, Causeway, Co. Kerry, Ireland). Milk fat, protein, and lactose concentrations were calculated weekly from one successive evening (Tuesday) and morning (Wednesday) milking sample for each animal. MilkoScan 203 (DK-3400, Foss Electric, Hillerød, Denmark) was used to determine the concentrations of fat and protein in the milk. Solids-corrected milk yield was calculated by using the equation of Tyrell and Reid (1965). Body weight was recorded weekly by using an electronic portable weighing scale and the Winweigh software package (Tru-test Limited, Auckland, New Zealand). The BCS of the cows was recorded weekly throughout the experimental period. Body condition was scored by one experienced independent observer throughout the experiment on a scale of 1 to 5 (Lowman et al., 1976). Body weight and BCS changes for the 2 experimental periods were calculated by subtracting the mean of the last 2 wk of the period from the mean of the first 2 wk of the period for the relevant measurement.
DMI Measurement and Sample Analysis.
Dry matter intake was measured by using the n-alkane technique described by Mayes et al. (1986), as modified by Dillon and Stakelum (1989). All cows were dosed twice daily for 12 d before both the morning and evening milking with a paper pellet (Carl Roth, GmbH, Karlesruhe, Germany) containing 500 mg of dotriacontane (C32-alkane). Fecal grab samples were collected twice daily, from d 7 to 12, prior to both the morning and evening milking. During the period of fecal sample collection, herbage samples were manually collected with a Gardena hand shears (as described above) at the approximate height to which cows grazed after each morning and evening milking for each treatment to get a representative sample of the herbage grazed. A concentrate sample was collected on a daily basis during each intake run of period I. Both the herbage and concentrate samples were frozen after collection. Fecal grab samples were thawed and bulked (10 g of each collected sample) by cow. Samples were dried at 40 ° C for 48 h, milled through a 1-mm screen, and chemically analyzed. Herbage samples were bowl chopped, freeze-dried, and milled in a 1-mm screen prior to chemical analysis. The ratio of herbage C33 to dosed C32 was used to estimate intake. Concentrate samples were subsampled, dried in a 40 ° C oven for 48 h, and milled through a 1-mm screen prior to chemical analysis. The n-alkane concentrations of the dosed pellets, feces, herbage, and concentrate were determined as described by Dillon (1993).
Statistical Analyses
All statistical analyses were carried out with SAS (SAS Institute, 2002). All sward measurements were analyzed by using ANOVA. The variables included in the model were rotation, week (with week within rotation), DHA, concentrate level, and the interaction between DHA and concentrate. Herbage data from periods I and II were analyzed by using the following model:
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where µ is the mean; Di is the DHA (i = 1 to 2); Cj is the concentrate level (j = 1 to 3); Rk is the rotation (k = 1 to 2); Rk (Wj) is the week within rotation (k = 1 to 11); Di x Cj is the interaction between DHA and concentrate level; and eijk is the residual error term.
One cow on the L3 treatment and one cow on the L6 treatment were removed from the experiment at the end of period I because of health problems unrelated to the treatment. A third animal was removed from the experiment during period II. These animals were replaced with nonexperimental cows to achieve consistent grazing results. The data collected on these animals was not used for statistical analyses. Animal variables were analyzed as 69 individual variables by using covariate analysis. Daily milk yield, milk composition, milk constituent yield, DMI, BW, and BCS were analyzed for each period with the following models:
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where Yijk represents the response of animal k offered DHA i and concentrate level j; µ is the mean; Di is the DHA (i = 1 to 2); Cj is the concentrate level (j = 1 to 3); Di x Cj is the interaction of DHA x concentrate level; Sk is the period II subtreatment; treatment blXijk is the respective preexperimental variable; and eijk is the residual error term.
| RESULTS |
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Grass and Grazing Management
In comparison with the 10-yr average (1995 to 2005) for this site, grass growth rates in 2006 were – 2.7, – 9.7, – 11.4, – 22.0, and – 27.5 kg of DM/ha per d below normal for the months of February, March, May, June, and July, respectively. During the month of April, grass growth was +15.8 kg of DM/ha per d above the 10-yr mean. The 10-yr mean grass growth yield for this period (February to July, inclusive) was 58.1 kg of DM/ha per d; however, in 2006 the mean growth rates were 9.6 kg of DM/ha per d below the 10-yr average. Peak growth occurred in mid-April approximately 1 mo earlier than usual, and this was followed by a rapid decline in normal growth rates, which continued until the end of the experimental period.
The first grazing rotation began on February 20 and was completed on April 4 (44 d); the second grazing rotation finished 26 d later. The herbage offered to both the low- and high-DHA herds was similar in quality. Table 3
shows the effect of treatment on grazing management during period I. Daily herbage allowance significantly (P < 0.01) affected pregrazing herbage mass ( > 4 cm), which was 1,375 kg of DM/ha for the low-DHA herds and 1,439 kg of DM/ha for the high-DHA herds during period I. This corresponded to a mean sward density of 230 kg of DM/ha per cm. Animals offered a high DHA received approximately 20% more area than those on the low allowance treatment (101 m2/cow per d) throughout period I; this equated to a stocking rate of 2.3 cows/ha for the low-DHA herd and 1.8 cows/ha for the high-DHA herd. Because the treatments were managed as 6 individual herds, postgrazing sward height ranged from 3.5 cm (L0) to 5 cm (H6, P < 0.001; Table 3
). Cows grazing the high-DHA treatments had consistently higher postgrazing sward heights than those grazing the low-DHA treatments. At both DHA, for every 1-kg increase in concentrate DM offered, post-grazing sward height increased by 0.1 cm. Herbage utilization ( > 4 cm) was highest with the low-DHA treatment (1.03), whereas cows in the high-DHA treatment utilized 0.89 of the offered herbage.
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During period II, there was no difference in pregrazing sward height (12.7 and 12.5 cm), sward density (212 and 214 kg of DM/ha per cm), or herbage mass (1,813 and 1,785 kg of DM/ha) between the MM and MH treatments, respectively (Table 4
). Animals on the MH treatment received approximately 28% greater area/d (P < 0.001) than those on the MM treatment (100 m2/cow per d). Offering the higher DHA during period II significantly (P < 0.001) increased (+0.8 cm) postgrazing sward height (5.6 cm) and herbage removed per cow/d (P < 0.001, 16.5 kg of DM) in comparison with the medium DHA (15.3 kg of DM). Sward utilization was significantly increased (P < 0.001) when animals were offered the 17-kg DHA (0.90) in comparison with the 21-kg DHA (0.79) during period II.
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DMI and Herbage Substitution.
There was no interaction between DHA and concentrate allowance for grass DMI (GDMI) or total DMI (TDMI). Table 7
shows the mean GDMI and TDMI for the 2 experimental periods. During period I, cows grazing the low DHA had significantly lower (P < 0.001, – 1.6 kg) GDMI (13.3 kg/cow per d) and TDMI (16.3 kg/cow per d) than the high-DHA herds. The response in GDMI to extra herbage offered was 0.4 kg of GDMI/kg of DM offered. Concentrate supplementation significantly (P < 0.001) increased TDMI. The unsupplemented herd had a TDMI of 14.7 kg/cow per d, whereas the herds offered 3 and 6 kg had a TDMI of 17.7 and 18.9 kg/cow per d, respectively. There was no significant difference in GDMI between the unsupplemented herds and those receiving 3 kg of concentrate (14.7 kg of DM/cow per d). Grass DMI of herds offered 6 kg of concentrate was 1.8 kg/cow per d lower (P < 0.01) than that of the unsupplemented herds and those receiving 3 kg of concentrate.
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| DISCUSSION |
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Spring Feed Allowance and Herbage Utilization
Approximately 0.8 to 1.0 t of herbage/cow is required to offer the herd a diet of 80% grazed grass from February to mid-April with the remainder as concentrate. This represents an optimistic but achievable target for grassland dairy farmers. In spring, it is possible to achieve high grass utilization in line with the level of herbage offered. Kennedy et al. (2007c) found lower postgrazing sward heights with decreasing DHA, whereas offering concentrate supplementation resulted in higher postgrazing sward heights. The grazing residual results of the current study represent high grass utilization, in agreement with the findings of the above author. Bargo et al. (2003) stated that if the aim is to maximize pasture DMI of high-producing dairy cows, management must ensure unrestricted pasture quality and quantity, which is found only in short periods during the spring. Unrestricted pasture conditions (i.e., high DHA) implies low grass utilization [kg of pasture DMI/kg of DHA ( > 4 cm) < 62%; Christie et al., 2000]. The current study shows that it is possible to achieve high utilization levels without compromising dairy cow performance. During period I, animals on the low DHA continually achieved higher sward utilization rates than those offered a high DHA. Supplementing animals reduced grass utilization, but to lower levels than that suggested by Stakelum (1986), when herbage allowance was measured from ground level. The extent of the reduction in pasture utilization will depend on both DHA and supplementation level. For each 1-kg increase in concentrate offered, postgrazing sward height increased by 0.1 cm (range 0.08 to 0.12 cm). Kennedy et al. (2007c) found similar increases (mean 0.12 cm/kg of concentrate) in postgrazing sward height. The postgrazing sward heights achieved in the current study are well within the practical guidelines set out by Kennedy et al. (2007a). However, grazing leniently in spring because of the allocation of high DHA to increase cow performance will result in mid- and late-season sward quality deterioration and a sharp reduction in animal performance (Mayne et al., 1987; Hoogendoorn et al., 1992; Kennedy et al., 2007b). The possibilities of increasing DMI by increasing DHA are limited; Kennedy et al. (2007c) found very small increases in grass DMI when increasing DHA from 13 to 19 kg of DM/cow per d. Finding the correct balance between DHA and concentrate level is likely to be beneficial in terms of both an animal production response and grass utilization perspective.
Substitution Rate and MR
Substitution rate and MR to supplementation are affected by several pasture, animal, and supplement factors (Stockdale, 2000a,b). The most important pasture-related factors are DHA, pasture height, pasture species, pasture mass, and pasture quality. In the current study, given that the animal genetic merit and concentrate type were similar and the stated sward parameters were managed to be equal for all treatments, the main differentiating factor was herbage allowance. Substitution rate is one of the main factors explaining the variation in observed MR to concentrate supplementation (Kellaway and Porta, 1993).
No substitution was observed in the current experiment when 3 kg of concentrate was offered at either DHA. Grass substitution did occur at the high concentrate levels. At low DHA, the substitution rate was 0.19 kg/kg of concentrate. This increased to 0.39 kg/kg of concentrate at the high DHA when 6 kg of DM concentrate was offered. The main reason for the low herbage substitution levels was the level of DHA offered. Stockdale (1999) reported average substitution levels of a 0.43-kg reduction in pasture intake/kg of DM concentrates consumed (range: 0, 3, or 5 kg of DM concentrates offered) for cows at a similar stage of lactation, with DMI of unsupplemented animals in the range of 14.1 to 16.4 kg of DM herbage/cow per d. Kennedy et al. (2007c) recorded substitution rates ranging from 0.25 to 0.45 kg of DM herbage/kg of DM concentrate. Faverdin et al. (1991) showed that the observed substitution rate of dairy cows was related to the energy status of the cow without concentrate supplementation. When the animal was underfed, the concentrate input only slightly penalized grass DMI and appreciably improved the energy balance of the animals, which resulted in a simultaneous increase in milk yield, protein concentration, and BW gain (Coulon and Rémond, 1991). It is clear from the intake results that the L0 herds were restricted to 0.70 of the intake capacity of the high feed allowance herd (H6). Total DMI increased from 13.6 kg of DM/d (2.72% of BW) to 19.4 kg of DM/d (3.78% of BW). Such an increase is incrementally better than that reported by Bargo et al. (2002), given the increases in DHA reported in that study. An interesting finding from the current study was the similar total DMI performance achieved by the L6 and H3 herds. This shows that the pasture substitution rate can be reduced, ensuring both high milk performance and grass utilization without offering excessive levels of concentrate. McEvoy et al. (2007) recommended the n-alkane technique as the most accurate method to estimate individual animal intakes. The experimental area used in the current study was dominated by perennial ryegrass swards. The n-alkane technique has been shown to have less variable results with these swards than other methods of herbage intake estimation. However, overestimation of herbage intake, compared with the animals energy requirements, may occur (Smit et al., 2005).
Marginal MR was large at the low-DHA level but reduced at the high-DHA level. Many previous studies have reported milk production increases in response to concentrate feeding (Delaby et al., 2001; Bargo et al., 2002; Horan et al., 2005); however, the early-lactation period was not investigated. Kennedy et al. (2007c) found that the mean response to concentrate was 1.1 kg of milk/kg of DM concentrate in early lactation, but with a herd containing 45% primiparous animals. These response levels were higher than those previously reported by Kennedy et al. (2002; 0.66 kg of milk/kg of concentrate DM) and Horan et al. (2005; 1.00 kg of milk/kg of concentrate DM), both experiments had a similar concentrate input and animals of similar genetic merit, with MR to concentrate measured across the entire lactation of the animals. Milk response to concentrate is reportedly lower in spring compared with summer (Stockdale, 1999). What is clear from the current study is the declining MR when a greater grass allowance is offered. In a number of experiments with cows in early to midlactation (40 to 182 DIM), an average overall response of 1 kg of milk/kg of concentrate offered was found; the range in MR was 0.60 (Sayers, 1999) to 1.45 kg of milk/kg of concentrate (Gibb et al., 2002). Peyraud et al. (2001), reviewing 7 concentrate studies at pasture, reported a similar milk production response to concentrate offered. Bargo et al. (2003) concluded that milk production of high-producing cows ( > 28 kg of milk/cow per d) in early lactation increases linearly as the amount of concentrate increases from 1.8 to 10 kg of DM/d, with an overall MR of 1 kg of milk/kg of concentrate. The findings of the current study suggest that the MR to concentrate in early lactation (60 DIM) depends on the level of herbage offered. At 13 kg of DM DHA, the mean MR was 0.56 and 0.80 kg of milk/kg of concentrate offered for 3 and 6 kg of concentrate, respectively. Offering 17 kg of DM DHA in early lactation resulted in a MR of between 0.67 kg (3 kg) and 0.63 kg (6 kg) of milk/kg of concentrate, respectively.
Herbage DMI increased by 2.2 kg/cow with an increase of 0.9 cm in postgrazing sward height as DHA increased from 13 to 17 kg of DM/cow per d for the unsupplemented herds. This response level (0.55 kg of DMI/kg of DHA) is large, as is the milk production response (0.5 kg of milk/kg of extra grass DM offered or 0.95 kg of milk/kg of increase in GDMI above 13 kg of grass allowance). Delagarde et al. (2004) found an increase in daily herbage intake of 0.2 to 0.25 kg of DMI/kg of DHA when DHA was calculated as > 5.0 cm. Stakelum and Dillon (1990) found a lower response with animals in midlactation, showing an 0.80-kg increase in milk yield for each extra 1-kg increase in GDMI (r2 = 0.99).
Milk Composition, BW, and BCS
Milk fat concentration was not influenced by concentrate level, which agrees with the early-lactation studies of Dillon et al. (2002) and Kennedy et al. (2007c), but is in conflict with the midlactation studies (Delaby et al., 2001; Bargo et al., 2002) in which animals were supplemented with greater than 5 kg/cow per d, possibly because of a dilution effect of milk yield increasing more rapidly than milk fat when concentrate is introduced into the diet in midlactation. Contrary to the observations of Le Du et al. (1979) and Greenhalgh et al. (1967), there was no effect of DHA on milk fat concentration. Results of the current study also agree with the findings of Maher et al. (2003). Milk protein concentration was affected by DHA; this effect was probably inflated by the low milk protein concentration achieved by the L0 herd. Maher et al. (2003) found milk protein concentration to increase linearly with increasing DHA. Kennedy et al. (2007c) found no effect of DHA on milk protein concentration.
Supplementing cows with concentrate increased BW (+16 kg) and reduced BW loss, a finding similar to those of previous authors (Dillon et al., 2002; Delaby et al., 2003; Horan et al., 2005). Offering a higher DHA increased mean BW (+12.3 kg) and end BW (+20.5 kg) and reduced BW change. Kennedy et al. (2007c) found a linear increase in BW as DHA increased during early lactation. The effects of DHA on BW are very much dependent on the level of grass offered. It is apparent that some of the animals had to mobilize a greater proportion of body reserves during the study because of high restriction levels. Mean BCS (+0.13) and endpoint BCS (+0.15) were positively influenced by DHA. Kennedy et al. (2007c) reported no effect of DHA on BCS.
Carryover Period
Generally when reporting the results of component studies, the direct effects are the main interest; however, in the current study and in that of Kennedy et al. (2007c), large treatment carryover effects were found in the period subsequent to the main study. Offering an inadequate level of feed in early lactation has been shown to reduce subsequent milk yield (Roche, 2007). The milk solids concentration established in early lactation also appears to extend into later lactation (Broster et al., 1969). The large carryover effects of the current study are a consequence of the extended study period (11 wk), with some restrictive treatments such a time period resulting in a larger response level in the carryover period. The significant carryover effects in the weeks after the experimental period may be explained by the large treatment effects on milk production (Gordon et al., 2000). Concentrate supplementation had significant carryover effects on milk yield, lactose content, and SCM, whereas DHA significantly affected milk protein concentration. Both concentrate supplementation and DHA had carryover effects on BW and BCS. Kennedy et al. (2007c) found no carryover effect of DHA on any milk production parameter; however, there was an effect of DHA on BW and BCS change. Concentrate supplementation affected milk yield, milk lactose, SCM, and BW (change and end point), which are similar to the findings of the current study.
| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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Received for publication September 20, 2007. Accepted for publication November 19, 2007.
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