Journal of Dairy Science
Volume 88, Issue 11 , Pages 4018-4027, November 2005

The Effect of Production Level on Feed Intake, Milk Yield, and Endocrine Responses to Two Fatty Acid Supplements in Lactating Cows*

  • K.J. Harvatine

      Affiliations

    • Present address: Cornell University, Dept. of Animal Science, 223 Morrison Hall, Ithaca, NY 14850.
  • ,
  • M.S. Allen

      Affiliations

    • Corresponding Author InformationCorresponding author.

Department of Animal Science, Michigan State University, East Lansing 48824

Received 13 January 2005; accepted 8 June 2005.

Article Outline

Abstract 

Animal responses to dietary treatment may interact with metabolic state, which differs for cows across a wide range of milk yield. Responses to dietary saturated vs. unsaturated fatty acid (FA) supplement was evaluated using 32 multiparous Holstein cows arranged in a crossover design with 14-d periods. Treatments were 2.5% FA from unsaturated FA (calcium salts of palm FA) or saturated FA (prilled, hydrogenated free FA). Unsaturated FA treatments decreased dry matter intake (0.8kg/d) and time spent ruminating (25min/d) compared with saturated FA treatment. Treatments did not differ in milk or 3.5% fat-corrected milk yield. Intake and milk yield responses were not related to milk yield across cows. Saturated FA treatment increased milk protein and lactose concentrations, but treatment did not affect yield of milk components. Saturated FA treatment increased insulin over 25% and decreased nonesterified FA nearly 20% with no effect on plasma somatotropin, glucose, or β-hydroxybutyrate concentrations. Milk protein concentration and yield responses to treatment were positively correlated with pretrial fat-corrected milk yield. Milk protein response was not related to insulin response, supporting the importance of insulin sensitivity in control of milk protein synthesis. Unsaturated FA treatment decreased dry matter intake and rumination time compared with saturated FA treatment, consistent with reports of unsaturated fat increasing satiety and decreasing gut motility. Decreased milk protein synthesis by fat supplementation may be related to FA saturation and milk yield of cows.

Key words: fatty acid, saturation, milk protein, feed intake

Abbreviation Key: CCK, cholecystokinin, FA, fatty acid, GLP-1, glucagon-like peptide-1, pFCMY, pre-trial fat-corrected milk yield, SAT, saturated fatty acids, ST, somatotropin, UNS, unsaturated fatty acids

 

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Introduction 

Energy required for milk yield and maintenance is often greater than the cow's ability to consume dietary energy, resulting in a negative energy balance. Addition of fat to the diet increases energy density without increasing rumen acid production, thus stabilizing rumen pH relative to addition of grain. Prilled hydrogenated free fatty acids (FA) and calcium salts of FA are 2 commercially available fat sources that have been designed to reduce adverse effects of FA on rumen microbial fermentation.

The ability of the cow to increase daily energy intake depends on the net energy density of the diet and daily DMI. Intake is highly regulated by animal nutrient requirements and metabolic states, and by the type and temporal absorption of fuels. Allen (2000) observed in a meta-analysis that fat supplements differing in FA source, form, and type have different hypophagic effects. Within commonly fed FA supplements, calcium salts of palm FA linearly decreased DMI with increasing dietary concentration whereas hydrogenated FA had no effect on DMI (Allen, 2000). The concept that absorbed FA of varying saturation have different hypo-phagic effects was demonstrated through a series of abomasal infusion studies, which showed that decreasing FA saturation decreased DMI (Drackley et al., 1992; Christensen et al., 1994; Bremmer et al., 1998).

Dietary fat has demonstrable effects on milk protein production (DePeters and Cant, 1992). Decreased milk protein concentration and yield with increased dietary fat might be caused by changes in ruminal fermentation, endocrine signaling, milk yield, or mammary nutrient metabolism (DePeters and Cant, 1992). Drackley et al. (1992) observed a linear decrease in milk CP yield with abomasal unsaturated FA infusion, and Christensen et al. (1994) observed decreased milk true protein and casein yield with C18 unsaturated FA infusion compared with saturated FA, indicating that FA profile has an important role in fat-stimulated decreased milk protein synthesis.

Dietary energy density is often increased by addition of fat in an attempt to improve the energy balance of high-producing cows that are unable to consume the required amount of forage and grain to meet energy requirements. It is expected that cow response to energy supplementation will depend on the cow's metabolic state or milk yield. Crossover design experiments with a pretrial covariant period allow observation of cow responses across production levels. In the current experiment, responses to FA supplementation were expected to differ for cows varying in milk yield.

The objective of this experiment was to determine the relationship between production level and responses for DMI, milk yield, and plasma hormones and metabolites to diets supplemented with saturated or unsaturated FA supplements. We hypothesized that more highly unsaturated FA would decrease intake relative to saturated FA at equal FA concentrations, and individual cow response would depend on milk yield.

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Materials and Methods 

Cows and Treatments 

Thirty-two multiparous Holstein cows in mid to late lactation at the Michigan State University Dairy Cattle Teaching and Research Center were randomly assigned to sequence in a crossover design with a pretrial covariant period. During the pretrial period, milk production averaged 43.7±6.3kg with a range from 34.0 to 57.5kg. Cows averaged 130 DIM (SD = 70), 2.35 BCS (SD = 0.38), and 655kg BW (SD = 45). Experimental procedures were approved by the All University Committee on Animal Use and Care at Michigan State University. Treatments were 2.5% added dietary FA from saturated FA (SAT) or unsaturated FA (UNS) sources (SAT = prilled hydrogenated free FA (Energy Booster 100); Milk Specialties Company Inc., Dundee, IL; UNS = calcium salts of palm FA (Megalac); Church and Dwight Company, Inc., Princeton, NJ). Treatments were fed as a mix using ground corn as a carrier, and were balanced for calcium and FA concentration using limestone and rice hulls (Table 1). Covariant and treatment periods were 14 d in length with the first 10 d for diet adaptation followed by 4 d of sample collection. Diets contained alfalfa silage (∼50% of forage DM), corn silage (∼50% of forage DM), dry ground corn, whole linted cottonseed (12.5% of ration DM), protein mix (soybean meal, corn gluten meal, and blood meal), and mineral and vitamin premix (Table 2). The base diet contained ∼5.0% FA with 2.0% FA from cottonseed. Cows were fed a diet intermediate to both treatments during the pretrial period. Cows were housed in tie stalls throughout the experiment, except for a 1.5-h exercise period twice daily before milking in a parlor. Samples and data were collected during the last 4 d of each period.

Table 1. Ingredients and nutrient composition of treatments.1
SATUNS
Ingredient% of DM
Ca soaps fatty acid (FA)57.7
Prilled FA48.9
Rice hulls10.9
Limestone19.2
Ground corn31.931.4
Composition
Total FA49.746.9
Calcium6.87.1
Fatty acid profile% of FA2
C1634.046.9
C18:046.24.3
C18:19.936.3
C18:22.549.31
C18:30.040.30
Unsaturated FA13.246.1
C16:18 ratio0.580.94

1SAT = Saturated fatty acid treatment of prilled fatty acids; UNS = unsaturated fatty acid treatment of calcium salts of palm fatty acids.

2Fatty acid composition of the treatment mix described above.

Table 2. Ingredient and nutrient composition of experimental diets.1
PretrialSATUNS
Ingredient% of DM
Corn silage222.522.422.5
Alfalfa silage318.920.020.1
Ground corn23.823.123.1
Whole cottonseed10.410.310.3
Protein mix414.113.813.9
SAT mix52.55.0
UNS mix52.44.6
Mineral-vitamin mix64.44.54.5
Molasses mix71.00.90.9
Nutrient
DM52.652.252.1
Total FA7.17.06.8
Unsaturated FA, %3.83.34.0
Starch26.625.525.7
NDF26.026.426.9
Forage NDF16.117.017.1
CP18.617.317.4
Ash5.35.45.1
Rumen-undegraded CP,8% CP35.735.635.6

1Pretrial = covariant period; SAT = saturated fatty acid treatment of prilled fatty acids; UNS = unsaturated fatty acid treatment of calcium salts of palm fatty acids.

2Corn silage contained 37.2% DM (as fed) and 39.6% NDF, 7.4% CP, 27.9% starch, and 3.0% ash on a DM basis.

3Alfalfa silage contained 30.9% DM (as fed) and 40.5% NDF, 17.0% CP, 4.2% starch, and 7.2% ash on a DM basis.

4Protein mix contained 74.1% soybean meal (44% CP), 20.1% corn gluten meal, and 5.8% blood meal.

5Mix composition as listed in Table 1.

6Mineral vitamin mix contained 16.5% vitamin E, 41.0% vitamin D, 44.4% vitamin A, 1.9% trace mineral premix, 4.1% urea, 4.6% salt, 8.4% limestone, 10.5% dicalcium phosphate, 11.7% sodium bicarbonate, and 57.9% dry ground corn as a carrier.

7QLF Dairy TMR 20 (66% DM and 30.3% CP); Quality Liquid Feeds, Dodgeville, WI.

8Rumen-degraded protein estimated using values from NRC (2001).

Data and Sample Collection 

Throughout the experiment, cows were fed once daily (1100h) at 110% of expected intake. The amount of feed offered and orts were weighed for each cow daily during the collection period. Samples of all dietary ingredients (0.5kg) and treatment diets were collected daily during the collection period and composited into one sample per period. Samples of orts (12.5%) were collected daily during the collection period and composited into one sample per cow period. Blood was collected from a coccygeal vessel into a tube containing sodium heparin. Six samples were collected over 2 d (d 10 and 11) representing 4-h intervals of a 24-h period to account for temporal variation. Blood was centrifuged at 2000×g for 15min immediately after sample collection, and plasma was harvested and frozen at −20°C until analysis. Cows were milked twice daily in the milking parlor throughout the experiment. Milk yield was measured and sampled at each milking from d 11 to 14 and averaged over the period. Feeding behavior was observed and recorded manually every 5min for 24h on d 14. Activity was classified as eating, ruminating, drinking, or idle. Cows were fed and milked as normal during feeding behavior observation. Body weight was recorded on the day before the start of the first period and on d 14 of each period to determine BW change. On the same days, 3 trained investigators determined BCS using a 5-point scale (1 = thin, 5 = fat; Wildman et al., 1982).

Sample Analyses 

Milk samples were analyzed for fat, true protein, and lactose using a midinfrared spectrophotometer equipped with A and B filters (model B2000; Bentley Instruments, Chaska, MN). Diet ingredients and orts were dried in a 55°C forced-air oven for 72h. All samples were ground with a Wiley mill (1-mm screen; Arthur H. Thomas, Philadelphia, PA). Diet ingredients were analyzed for DM, NDF, ADF, starch, CP, ash, and FA concentration and profile. Neutral detergent fiber concentration was determined with the addition of heat-stable amylase (Van Soest et al., 1991; method A). Starch was measured by an enzymatic method (Karkalas, 1985) after samples were gelatinized with sodium hydroxide. Crude protein was analyzed according to Hach et al. (1987). Ash content was determined after 6h oxidation at 500°C in a muffle furnace. Fatty acids were extracted and methyl esters were prepared by acid-catalyzed transesterification (Sukhija and Palmquist, 1988). Total FA concentration and FA profile was determined by GLC using an external standard. Concentrations of all nutrients except DM were expressed as percentages of DM determined from drying at 105°C in a forced-air oven.

Blood samples were analyzed for insulin, glucagon, somatotropin (ST), cholecystokinin (CCK), NEFA, glucose, and BHBA. Commercial radioimmunoassay kits were used to determine plasma concentration of insulin (Coat-A-Count; Diagnostic Products Corporation, Los Angeles, CA), glucagon (glucagon kit GL-32K; Linco Research, St. Charles, MO), and CCK (Euria-CCK kit RB302; ALPCO, Windham, NH). The glucagon procedure (Hammon and Blum, 1998) and CCK procedure (Benson and Reynolds, 2001) have previously been validated for use with bovine plasma. Plasma ST concentration was determined by radioimmunoassay (Gaynor et al., 1995). Enzymatic assays were used for determination of glucose (Raabo and Terkildsen, 1960; glucose kit #510; Sigma Chemical Co., St. Louis, MO), NEFA (Johnson and Peters, 1993; NEFA C-kit; Wako Chemicals USA, Richmond, VA), and BHBA (Williamson et al., 1962; BHBA kit #310-A; Sigma Chemical Co.) in a microplate reader (SpectraMax 190, Molecular Devices, Sunnyvale, CA).

Net energy of BW change was calculated according to NRC (2001) and net energy of milk production was calculated using the following equation (NRC, 2001):

Statistical Analyses 

For treatment effects, all data were analyzed by the fit model procedure of JMP Version 5.0 (SAS Institute, 2003) according to the following model:

where μ = overall mean, Si = fixed effect of sequence (i = 1 to 2), Cj(Si) = random effect of cow nested in sequence (j = 1 to 16), Pk = fixed effect of period (k = 1 to 2), Tl = fixed effect of treatment (l = 1 to 2), and eijkl = residual error.

Pretrial fat-corrected milk yield (pFCMY) was calculated as the average daily production over 8 milkings during the 4 d immediately before the initiation of the experiment. Relationships between response to treatment and pFCMY were analyzed according to the following model:

where Yi = ySATyUNS, ySAT = response for the saturated FA treatment, yUNS = response for the unsaturated FA treatment, μ = overall mean, Si = fixed effect of sequence (i = 1 to 2), pM = pFCMY, pM2 = pFCMY2, and ei = residual error.

Data points with Studentized Residuals greater than 3 were considered outliers and excluded from the data set. One cow was diagnosed with clinical mastitis in the first treatment period and was excluded from statistical analysis.

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Results and Discussion 

Fat treatments differed in FA profile, with UNS containing nearly 2.5 times more unsaturated FA than SAT, primarily as C18:1 and C18:2 (Table 1). Treatments also differed in C16:C18 FA ratio because the UNS treatment contained high levels of palmitic acid. Diets contained nearly equal concentrations of starch, CP, NDF, and FA (Table 2).

Intake and Chewing Behavior 

Unsaturated FA decreased DMI 0.8 kg/d relative to SAT (P<0.01) and decreased intake of starch, CP, and total FA (P<0.01; Table 3). In previous direct comparisons of saturated and unsaturated FA supplements, no differences were observed in intake when supplemented at 0.68kg of FA (Grummer, 1988; Schauff and Clark, 1989), and at 2 and 5% of the diet (Eastridge and Firkins, 1991). However, both of these studies had fewer observations, lower producing cows, and lower basal dietary FA concentration compared with the present experiment. The higher intakes in the current experiment may have increased ruminal passage rate resulting in decreased ruminal biohydrogenation and increased duodenal flow of unsaturated FA. Allen (2000) reported that in 11 out of 24 studies, calcium salts of palm FA caused a linear decrease in DMI, whereas 22 of the 24 experiments resulted in a numerical decrease in DMI. In contrast, hydrogenated triglyceride or FA resulted in decreased DMI in only one experiment and increased DMI in 2 out of 21 experiments reported.

Table 3. Effects of fatty acid (FA) saturation1 on intake and feeding behavior.
SATUNSSEP
Intake, kg/d
DM27.426.70.4<0.01
NDF6.936.880.090.39
Starch6.796.620.10<0.01
CP4.574.460.06<0.01
Total FA1.851.750.02<0.001
Unsaturated FA0.871.030.01<0.001
Saturated FA0.750.520.006<0.001
Feeding behavior
Eating time
min/d21020560.33
min/kg of DMI7.87.80.30.91
min/kg of NDF intake31301.00.40
Ruminating time
min/d53551010<0.01
min/kg of NDF intake77741.80.03
Total chewing time
min/d74571513<0.01
min/kg of NDF intake1081042.30.02
Time spent idle
min/d67069510<0.01

1SAT = Saturated fatty acid treatment of prilled fatty acids; UNS = unsaturated fatty acid treatment of calcium salts of palm fatty acids.

Abomasal infusion of unsaturated fat consistently decreases DMI relative to no fat and saturated fat infusions (Benson and Reynolds, 2001). Drackley et al. (1992) and Christensen et al. (1994) both showed that abomasal infusions of 450g of unsaturated FA with a lower C16:C18 FA ratio decreased DM intake compared with an equal amount of more saturated FA, whereas Drackley et al. (1992) also reported decreased digestible energy intake. Bremmer et al. (1998) demonstrated the negative relationship between intake and diet unsaturated FA concentration at the same C16:C18 FA ratio in abomasal infusions. In addition, oleamide FA consistently decreased intake compared with free oil that is readily biohydrogenated in the rumen (Jenkins, 2000). The experimental treatments in the current experiment differed in both unsaturated fat concentration and C16:C18 FA ratio; however, the experiments cited above provide strong evidence that FA-mediated intake depression is a function of FA saturation, independent of chain length.

Rumen biohydrogenation of unsaturated FA can be extensive and may explain differences in the magnitude and consistency of response when unsaturated fat is fed vs. directly infused into the abomasum. Ruminal biohydrogenation of unsaturated C18 FA fed as calcium salts of palm FA reported by Klusmeyer and Clark (1990, 1991) and Wu et al. (1991) was 34, 33, and 48%, respectively. Fatty acids fed as calcium salts must first dissociate from the calcium ion and then be absorbed by rumen bacteria to undergo biohydrogenation (Jenkins, 1993). The rate of biohydrogenation is expected to be a function of the pKa for the calcium salt, rumen pH, and the microbial population, which affects availability of FA and enzyme activity for biohydrogenation. The extent of biohydrogenation is a result of the rate of biohydrogenation and rumen retention time (Harvatine and Allen, 2004). Biohydrogenation of the UNS treatment in the current experiment is unknown. However, we expect that less unsaturated FA reached the duodenum than was fed, which demonstrates the powerful hypophagic effects of unsaturated FA or their products from biohydrogenation.

There was no effect of treatment on time spent eating but UNS decreased time spent ruminating 25 min/d (P<0.01) and increased time spent idle 25 min/d (P<0.01). Although its regulation is poorly understood, time spent chewing is primarily related to dietary intake and concentration of fiber and forage fiber, and is poorly related to DMI (Allen, 1997). Total chewing time and time spent ruminating per kilogram of NDF intake was decreased by UNS (P<0.05 and P<0.01, respectively; Table 3). Therefore, differences in chewing behavior observed in the current experiment cannot be attributed to differences in fiber intake. Treatment diets also contained the same base ration and are not expected to differ in effectiveness of stimulating rumination, although associative effects on ruminal fiber digestion and passage could have affected ruminal digesta pool size, leading to changes in rumination.

Deswysen et al. (1987) reported a strong positive relationship between the number of rumen contractions and rumination time, indicating that decreased time spent ruminating in the current experiment may be indicative of less reticular-rumen motility. Nicholson and Omer (1983) showed that intestinal infusion of unsaturated FA decreased rumen motility of sheep. Grovum (1986) reported almost total cessation of rumen motility after 13h of intragastric infusion of unsaturated fat whereas intravenous infusion had little effect; decreased intake and frequency of biphasic and triphasic rumen contractions were observed within 3h of intragastric infusion of unsaturated FA. Differences in gastric and venous infusions implicate involvement of the gut in FA depression of reticular-rumen motility. Dry matter intake was decreased and postprandial CCK was increased when diets were supplemented with calcium salts of palm FA (Choi and Palmquist, 1996), and direct intravenous infusions of CCK depressed reticular-rumen motility and intake in sheep (Grovum, 1981). In the current experiment, we observed a tendency for increased plasma CCK with UNS FA (Table 4). Increased plasma concentrations of glucagon-like peptide-1 (GLP-1) have been observed with unsaturated fat infusion by Benson and Reynolds (2001) and Litherland et al. (2005). Glucagon-like peptide-1 is a gut peptide with similar secretion to CCK. These observations are consistent with gut peptide secretion in response to FA ingestion with subsequent effects on intake and gut motility (Reidelberger, 1994).

Table 4. Effects of fatty acid saturation1 on plasma hormones and metabolites.
SATUNSSEP
Cholecystokinin, pmol/L12.514.10.910.08
Insulin, μIU/mL12.810.10.6<0.001
Somatotropin, ng/mL1.941.980.140.76
Glucose, mg/dL62.061.40.50.19
NEFA, μM89.3115.53.3<0.001
BHBA, mg/dL5.255.280.160.86

1SAT = Saturated fatty acid treatment of prilled fatty acids; UNS = unsaturated fatty acid treatment of calcium salts of palm fatty acids.

Experiments testing the effect of FA on rumen motility and gut peptide secretion have used no fat controls and the effect of FA saturation on endocrine signaling and rumen motility has not been explored. Differences in rumination with varying FA saturation in the current experiment are consistent with FA saturation changing gut peptide secretion. Fatty acids may directly affect gut peptide secretion or change temporal release of gut peptides relative to a meal, thereby changing gut motility. Absorption of FA and stimulation of gut peptide secretion likely coincide with rumination bouts between meals as the rumen creates a lag between intake of FA and their flow to the duodenum. Changing reticulorumen motility may then modify time spent ruminating. Differences in rumination and reticular motility may also change rumen distension from physical fill because of slower digestion and passage of digesta.

Dry matter intake response (SATUNS) was not related to pFCMY or pretrial fat yield (Table 5). In addition, there was no relationship between pretrial parameters and chewing behavior responses. Failure to detect a relationship of DMI response with pFCMY discounts physical fill and absorbed energy as mechanisms of unsaturated FA-induced hypophagia. Intake of high-producing cows in less positive energy balance is expected to be limited primarily by physical fill, whereas intake of lower producing cows in more positive energy balance is expected to be limited primarily by absorbed fuels. Observed intake responses in the current experiment cannot be attributed entirely to either mechanism. Digestibility of saturated FA is commonly thought to be lower than unsaturated fat (Palmquist, 1984). However, FA digestibility cannot be determined by measuring digestibility of individual FA fed in a mixture because hindgut biohydrogenation inflates recovery of saturated FA at the expense of unsaturated fat, causing overestimation of unsaturated FA and underestimation of saturated free FA digestibility. Other experiments have concluded that the intake depression of unsaturated FA is not mediated by differences in digestibility when supplemented in free FA form. The abomasal infusions previously discussed (Drackley et al., 1992; Christensen et al., 1994; Bremmer et al., 1998) did not show differences in FA or energy digestibility when directly comparing saturated and unsaturated FA treatments. Finally, Schauff and Clark (1989), Grummer (1988), and Palmquist (1991) directly compared calcium salts of palm FA and saturated free FA (same treatments as this experiment) and found no difference in apparent total tract digestibility of energy, lipid, and FA, respectively.

Table 5. Responses (saturatedunsaturated) of intake and production by pretrial 3.5% fat-corrected milk yield.
ResponseR2Predictor1P2Coefficient3Intercept4
DMI0.19pFCMY50.14
Milk yield, kg/d0.39pFCMY0.24
3.5% FCM, kg/d0.19pFCMY0.48
Fat, %0.06pFCMY0.84
Fat yield, kg0.02pFCMY0.75
Protein, %0.46Sequence6
pFCMY
<0.001
<0.05
0.174
0.049
−0.204
Protein yield, kg0.18Sequence
pFCMY
0.48
0.02
−0.008
0.004
−0.173
Lactose, %0.34Sequence
pFCMY
(pFCMY)2
<0.01
0.01
<0.01
0.006
0.011
0.009
1.05
Lactose yield, kg0.66Sequence
pFCMY
(pFCMY)2
<0.001
<0.01
<0.01
−0.095
−0.049
0.0006
0.965

1Regression term.

2P = Probability for effect of regression term.

3Coefficient of the regression term.

4Intercept of the regression equation.

5pFCMY = Pretrial 3.5% fat-corrected milk yield (kg/d).

6Sequence parameter estimate.

Production 

There were no treatment effects of FA type on yield of milk or milk components (Table 6). Production responses to supplemental fat are inconsistent across experiments. Chilliard (1993) reviewed the effect of fat supplementation and noted little difference in FCM in short-term experiments, presumably because of a 2-to-3-wk production lag observed in long-term fat studies. Experimental periods of 14 d, as used in the current experiment, may be too short to establish effects on milk yield.

Table 6. Effects of fatty acid saturation on production.1
SATUNSSEP
Yield, kg/d
Milk41.842.31.10.12
3.5% FCM41.842.41.20.11
SCM39.039.31.10.33
Fat1.471.490.050.25
Protein1.271.270.030.79
Lactose2.002.010.060.23
Milk composition, %
Fat3.543.540.090.92
Protein3.063.020.050.04
Lactose4.804.740.03<0.001
Tissue gain
BW change, kg/d0.500.290.160.37
BCS change20.110.100.040.74

1SAT = Saturated fatty acid treatment of prilled fatty acids; UNS = unsaturated fatty acid treatment of calcium salts of palm fatty acids.

2Change in BCS (5-point scale where 1 = thin to 5 = fat) over a 14-d period.

Unsaturated FA treatment decreased milk protein and lactose concentration relative to SAT (protein 3.06 and 3.02%, and lactose 4.80 and 4.74% for SAT and UNS, respectively). Responses (SATUNS) of milk protein yield and concentration were positively related to milk yield (Figure 1, P = 0.02, R2 = 0.18; and Figure 2, P<0.05, R2 = 0.46, respectively). The percentage change in milk protein yield was also tested and was significant but is not reported. High-producing cows had larger milk protein yield responses when fed SAT compared with UNS than did cows with lower milk yield. Responses in individual cow FCM, milk fat yield, and fat percentage were not related to pretrial production. The production level or metabolic state by response interaction that we observed for milk protein may explain the inconsistent reports of FA effects on milk protein synthesis. Nonresponding cows in some experiments, but not in others, may simply dilute treatment effects or add unexplainable variation.

  • View full-size image.
  • Figure 1. 

    Relationship between milk yield over the 4 d before the beginning of the trial (pretrial FCM) and the response (saturated −unsaturated) in milk protein concentration to the unsaturated fatty acid treatment (y = −0.38 + 0.0092x; P = 0.02, R2 = 0.18).

  • View full-size image.
  • Figure 2. 

    Relationship between milk yield over the 4 d before the beginning of the trial (pretrial FCM) and the response (saturatedunsaturated) in milk protein yield to the unsaturated fatty acid treatment (y = −0.204 + 0.006x; P = 0.048, R2 = 0.46).

Decreased milk protein concentration is commonly attributed to the diluting effect of increased milk yield. In the current experiment, there was no relationship between the response for milk protein percentage (SATUNS) and the response for milk yield (SATUNS, R2 = 0.41, P = 0.23). There was no dilution effect of milk protein observed because milk protein yield response linearly increased with increased milk yield response (R2 = 0.55, P<0.001). Although not observed in the current experiment, dilution of milk protein by increased milk production merits further investigation. Protein and lactose concentration of milk are both very stable and expected to be highly correlated; Wu and Huber (1994) reported a linear relationship between milk and milk protein yield with an R2 of 0.90. Dilution of milk protein by increased milk yield would represent a deviation from normal and should not be ignored.

Emery (1978) reported that milk protein concentration decreased 0.1 to 0.3 percentage points with added fat, and DePeters and Cant (1992) reviewed the effect of fat on milk protein showing variation in published responses. Chilliard (1993) reviewed the effects of fat on production and noted that milk protein concentration decreased in response to fat supplementation to a greater extent in early lactation compared with peak lactation (0.8 vs. 0.5 g/kg) and in short-term experiments compared with long-term experiments (1.0 vs. 0.5 g/kg). In direct comparisons of dietary saturated and unsaturated FA supplements, Grummer (1988) showed unsaturated FA decreased milk protein 0.13% compared with no fat control, and saturated fat treatment maintained milk protein. Schauff and Clark (1989) observed no effect of fat type on milk protein. Dietary FA saturation appears to be an important factor affecting milk protein response to FA treatment. Possible mechanisms include inhibition of microbial protein production, modification of insulin signaling, and changes in the somatotropic axis.

Unsaturated FA fed as calcium salts of palm FA are partially available for biohydrogenation, and may interfere with microbial growth rate or efficiency. Fatty acids may decrease milk protein because of decreased microbial protein yields making less protein absorbed and available for milk protein synthesis. However, feeding protected oleic acid in the form of oleamide decreased milk protein concentration and yield (Jenkins, 2000) compared with raw canola oil (high oleic acid). Free oil interferes with ruminal fermentation more than oleamide but had less of an effect on milk protein synthesis than the physiological effects of absorbed unsaturated FA.

Hyperinsulinemic-euglycemic clamp studies have identified insulin, or its stimulation of IGF, as a regulator of milk protein synthesis (Mackle et al., 2000). Increased milk protein synthesis in the clamp procedure is not solely the effect of infused glucose sparing amino acids because cows supported increased protein synthesis by increasing the extraction efficiency of essential amino acids, mammary blood flow, and glucose uptake (Mackle et al., 2000). In the present experiment, SAT increased insulin 25% as well as milk protein concentration and yield consistent with the insulin clamp model. Surprisingly, although milk protein response was related to pFCMY, insulin response (SATUNS) was not. There was no relationship between milk protein response and insulin response after accounting for sequence (P = 0.89). If insulin is involved in regulation of milk protein synthesis, it is reasonable to expect that not just the plasma insulin concentration, but also tissue sensitivity to insulin stimulation is important. Palmquist and Moser (1981) studied the relationship of dietary unsaturated fat, plasma glucose, and insulin, and milk protein production. Glucose tolerance tests were used to measure insulin responsiveness and sensitivity. Cows fed calcium salts of palm FA responded to glucose infusion with more insulin secretion and had slower clearance of glucose, suggesting increased insulin resistance. The authors proposed that fat-stimulated insulin resistance might reduce amino acid transport into the mammary gland. The lack of a relationship between plasma insulin concentration and milk protein response and insulin response and pretrial production level in the current experiment supports the hypothesis that tissue insulin sensitivity is important to milk protein production.

Insulin stimulation of the somatotropic axis cannot be ruled out as a possible mechanism for increasing milk protein synthesis. Molento et al. (2002) showed that insulin stimulated IGF-I production in early to midlactation cows. They proposed that the ST to insulin ratio was an important predictor of IGF-I production, with lower ratios correlating to higher IGF-I concentrations. In the present experiment, increased insulin with no change in plasma ST would be expected to increase plasma IGF-I concentration. In addition, there was a significant quadratic relationship between the ST/insulin response and milk protein response (Table 7).

Table 7. Responses (saturatedunsaturated) of energy balance and plasma metabolites and hormones.
ResponseR2Predictor1P2Coefficient3Intercept4
NEFA0.28Sequence
pFCMY
(pFCMY)×(pFCMY)
0.46
0.02
0.01
−1.90
8.27
−0.10
−190.5
Somatotropin/insulin0.36Sequence
pFCMY
(pFCMY)×(pFCMY)
<0.01
0.03
0.02
0.073
0.063
−0.00078
−1.287

1Predictor = Regression term.

2P = Probability for effect of regression term.

3Coefficient of the regression term.

4Intercept of the regression equation.5pFCMY = Pretrial 3.5% fat-corrected milk yield (kg/d).

Energy Balance and Efficiency 

Treatments did not affect BW gain or BCS changes. There was also no relationship between measures of energy balance and pretrial milk yield. Experimental periods were only 14 d in length, reducing our ability to detect body tissue changes. The lack of effects of treatment on BW, BCS, or plasma ST concentration indicates that cows did not change energy balance or that experimental periods were too short to observe differences.

Treatment diets contained nearly equal nutrient compositions and were considered to contain the same gross energy density. Efficiency calculated as FCM yield per kilogram of DMI was greater for UNS than SAT cows (P<0.001; Table 8). This calculation does not account for changes in body energy, and treatment effects were not significant for either milk yield or BW change. Efficiency calculated as net energy (NEL) of BW change plus NEL milk production over DMI was not different between treatments. Body weight energy gain and milk energy yield were not different between treatments, attributing any efficiency difference to changes in DM intake.

Table 8. Effects of fatty acid saturation1 on energy intake and partitioning.
SATUNSSEP
Milk energy, Mcal NEL228.729.90.770.33
Tissue energy gain,3 Mcal NEL2.902.361.110.73
Efficiency, FCM/DMI1.531.590.04<0.001
Energy efficiency40.540.550.020.76

1SAT = Saturated fatty acid treatment of prilled fatty acids, UNS = unsaturated fatty acid treatment of calcium salts of palm fatty acids.

2NEL(milk) (Mcal/d) = MY (kg)×(0.0929×fat % + 0.0563×true protein % + 0.0395×lactose %); NRC, 2001.

3NEL gain calculated from BW gain (NRC, 2001).

4Energy efficiency = (milk energy, Mcal NEL + tissue energy gain, Mcal NEL)/kg of DM.

The return provided by the incremental increase in DM intake, or marginal return (Penson et al., 2002), is a more informative variable than absolute efficiency because it highlights diminishing returns of inputs expected in biological systems. Milk yield and milk protein yield responses (SATUNS) were linearly increased with increased DMI response (P<0.01 and P<0.001, respectively). Fat-corrected milk, milk fat percentage, and milk fat yield responses (SATUNS) were affected quadratically by increasing DMI response (P<0.01). Marginal milk and milk protein yield were linearly increased and marginal milk fat yield was affected quadratically with increasing DMI response (Table 9). Increasing DMI increased production of milk and milk components. The cost of the additional production is merely the increased DMI when using marginal return and describes the incremental returns of additional independent interventions.

Table 9. Milk yield and component responses (saturatedunsaturated) by DM intake response (saturatedunsaturated)
ResponseR2Predictor1P2Coefficient3Intercept4
Milk yield, kg/d0.53Sequence
DMI Response5
<0.01
<0.01
−0.98
0.82
−1.10
3.5% FCM, kg/d0.43Sequence
DMI Response
(DMI Response)×(DMI Response)
0.09
0.67
0.01
−0.69
0.17
0.36
−1.26
Milk fat, %0.32Sequence
DMI Response
(DMI Response)×(DMI Response)
0.17
0.03
<0.01
0.06
−0.05
0.01
0.015
Milk fat yield, kg0.35Sequence
DMI Response
(DMI Response)×(DMI Response)
0.63
0.67
<0.01
−0.01
−0.01
0.02
−0.040
Milk protein, %0.41Sequence
DMI Response
<0.001
0.24
0.09
0.01
0.034
Protein yield, kg0.39Sequence
0.01
0.23
<0.001
0.01
0.04
−0.023

1Predictor = regression term.

2P = Probability for effect of regression term.

3Coefficient of the regression term.

4Intercept of the regression equation.

5DMI Response = (saturated DMIunsaturated DMI).

Plasma Metabolites and Hormones 

Saturated FA increased insulin over 25% compared with UNS (12.8 vs. 10.1μIU/mL, P<0.001). Type of FA determines insulin secretion in vitro with saturated and longer chain FA being more insulinotropic (Stein et al., 1997). Plasma growth hormone concentrations were not affected by treatment. Saturated FA treatment decreased NEFA over 20% compared with UNS (89.3 vs. 115.5μEq/L respectively, P<0.001), but plasma glucose and BHBA were not affected by treatment. A quadratic effect of pFCMY was observed on plasma NEFA. Interestingly, all cows decreased plasma NEFA when fed SAT compared with UNS. No other plasma hormone or metabolite was related to pFCMY.

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Conclusions 

Fatty acid profile reaching the duodenum is important for predicting DMI response to fat supplementation. Increasing unsaturated FA concentration of the diet decreased DMI with no relationship to milk yield across cows. Saturated FA increased time spent ruminating compared with unsaturated FA, which may be the result of changes in gut motility as previously observed in abomasal infusions. Dietary FA saturation affects plasma insulin and NEFA concentration. Saturated FA increased milk protein, and the magnitude of the response appears to be related to production level and possibly insulin signaling. The current experiment observed animal responses to short-term feeding of fat supplements; responses to long term feeding should be verified in future experiments.

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Acknowledgments 

We wish to acknowledge Milk Specialties Company (Dundee, IL) for partial financial support of this research. We also thank D. G. Main, R. A. Longuski, Y. Ying, M. Oba, C. S. Mooney, J. V. Voelker, C. C. Taylor, B. J. Bradford, R. E. Kreft, and the staff of the Michigan State University Dairy Cattle Teaching and Research Center for their assistance in this experiment, and D. Palmquist and T. Wolbaugh for fatty acid analysis.

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Supplementary data 

Interpretive summary.

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PII: S0022-0302(05)73088-5

doi:10.3168/jds.S0022-0302(05)73088-5

Journal of Dairy Science
Volume 88, Issue 11 , Pages 4018-4027, November 2005