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* Department of Dairy and Animal Science, The Pennsylvania State University, University Park, PA 16802
Dexcel Ltd., Private Bag 3221, Hamilton, New Zealand
Corresponding author:
L. D. Muller; e-mail:
lmuller{at}psu.edu.
| ABSTRACT |
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Key Words: high producing dairy cow pasture supplementation milk production and composition
Abbreviation key: CDMI = concentrate DMI, CBW = change in BW, ED = effective degradability, FPr = fat percentage reduction, FYi = fat yield increase, HM = herbage mass, LEG = percentage of legumes in pasture, MN = microbial nitrogen, MPi = milk production increase, MR = milk response, MY = milk yield, NANMN = nonammonia, nonmicrobial nitrogen, NDFp = NDF in pasture available, NDFs = NDF in pasture selected, PA = pasture allowance, PASUP = pasture allowance and total supplementation interaction, PD = potentially degradable fraction, PDMI = pasture DMI, PDMIr = pasture DMI reduction, PPi = protein percentage increase, PYi = protein yield increase, RAD = ruminal apparent digestibility as proportion of intake, RADD = ruminal apparent digestibility as proportion of total tract apparent digestibility, RUPI = RUP intake, SHT = sward height, SR = substitution rate, SUP = total supplementation, TB = number of bites per d, TDMI = total DMI, TDMIi = total DMI increase, TOMI = total OM intake, TTAD = total tract apparent digestibility, WOL = week of lactation
| INTRODUCTION |
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In the United States, the dairy industry over the last 50 yr has been characterized by a favorable milk price:feed cost ratio; therefore, dairy systems have tended to focus on high milk production per cow (Clark and Kanneganti, 1998; Muller and Fales, 1998) and less use of pasture-based systems until recent years (Muller and Fales, 1998). Average milk production per cow in the United States increased from 3191 kg in 1960 to 8263 kg in 2000 (NRC, 2001). Besides the high milk production per cow, climatic conditions (i.e., cold temperatures and snow cover during 4 or 5 mo/yr) in many important dairy areas in the United States (e.g., Midwest and Northeast) do not permit year-round grazing systems (Clark and Kanneganti, 1998). Therefore, the use of feeding systems combining pasture plus additional feed supplements such as concentrates and conserved forage are required.
The main objective of supplementation of grazing dairy cows is to increase total DMI and energy intake relative to that achieved with pasture-only diets (Peyraud and Delaby, 2001; Stockdale, 2000b). For the production system, a primary goal of supplementation is to optimize profit per cow and per unit of land (Kellaway and Porta, 1993; Fales et al., 1995). The objectives of supplementation include (Kellaway and Porta, 1993): 1) increase milk production per cow, 2) increase stocking rate and milk production per unit of land, 3) improve the use of pasture with the higher stocking rate, 4) maintain or improve BCS to improve reproduction during pasture shortage, 5) increase length of lactation during periods of pasture shortage, and 6) increase milk protein content by energy supplementation.
Previous reviews of grazing research have focused on animal production and digestion aspects (Leaver, 1985; Kellaway and Porta, 1993; Doyle et al., 1996; Stockdale, 2000b). However, most of these reviews have focused on research with relatively low producing dairy cows. Appropriate strategies for supplementation of high producing dairy cows requires an understanding of the effect of different types of supplements on DMI, animal performance, and digestion, and of providing nutrients that complement the nutrient content of pasture and meet the nutrient requirements of dairy cows.
The objective of this review is to summarize the effect of supplementation on grazing behavior, pasture and total DMI, milk production, milk composition, and ruminal and postruminal digestion of high producing dairy cows on pasture. For the purpose of this review, high producing dairy cows are defined as those producing more than 25 kg/d of milk in early lactation or about 20 kg/d in late lactation. However, research data from low producing dairy cows are included in those areas where information with high producing dairy cows is not available. This review focused on research data from the United States, but because of limited published research in many areas, information was included from other countries where grazing systems are important (e.g., Argentina, Australia, France, Ireland, Netherlands, New Zealand, and United Kingdom).
| DRY MATTER INTAKE OF GRAZING COWS |
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Low pasture DMI has been identified as a major factor limiting milk production of high producing cows with a grazing system (Leaver, 1985; McGilloway and Mayne, 1996; Kolver and Muller, 1998). Leaver (1985) suggested that high producing dairy cows fed pasture-only diets could reach a total DMI of 3.25% of BW. Mayne and Wright (1988) estimated that with no pasture quantity and quality restrictions, pasture DMI of high yielding dairy cows might reach 3.5% of BW. Beever and Thorp (1997) proposed that total DMI of high producing cows fed pasture-only diets is lower than for cows fed pasture diets plus concentrates. This may be explained by physical constraints, rate of forage removal from the rumen, and water consumption associated with pasture.
Studies in the United States with high producing cows fed pasture-only diets are limited (Kolver and Muller, 1998; Reis and Combs, 2000b; Bargo et al., 2002a). Kolver and Muller (1998) reported that early-lactation cows grazing high quality grass pasture in the spring had a pasture DMI of 19.0 kg/d, or 3.4% of BW. However, when compared with cows fed a nutritionally balanced TMR ration, grazing cows consumed 4.4 kg less DM. The intakes of DM and NEL were lower on the pasture-only diet; however, intakes of CP and NDF did not differ between the pasture-only diet and TMR. The difference in DMI, rather than energy content of pasture, appeared to be the major factor responsible for the lower total energy intake and milk production (Kolver and Muller, 1998). Pasture DMI of unsupplemented dairy cows increased from 17.7 kg/d or 2.9% of BW to 20.5 kg/d or 3.4% of BW as pasture allowance (PA) increased from 25 to 40 kg DM/cow per day (Bargo et al., 2002a). Although Dalley et al. (2001) suggested that pasture DMI may be increased by more frequent allocation of new pasture, they reported no difference in DMI (15.8 kg/d) or milk production (25.3 kg/d) of early lactation cows grazing a ryegrass pasture when offered one or six times per day.
Effect of Pasture Allowance
Many pasture factors affect DMI (Poppi et al., 1987; Hodgson and Brookes, 1999) including pregrazing pasture mass (amount of pasture per unit area; kg DM/ha) and PA (amount of pasture offered per cow; kg DM/cow per day). Several researchers (Stockdale, 1985; Dalley et al., 1999) have reported that pasture DMI is closely related to PA. The relationships between pasture DMI and PA have been described as asymptotic (Poppi et al., 1987; Peyraud et al., 1996; Dalley et al., 1999). However, it is unclear what PA is required to maximize DMI. In a review, Leaver (1985) proposed a maximum DMI at a PA between 45 to 55 g DM/kg of BW or 27 to 33 kg DM/cow per day for a 600-kg cow. Pasture DMI increased as PA increased, but at a declining rate with a plateau when PA was 10 to 12% of BW or 60 to 72 kg DM/cow per day for a 600-kg BW cow (Hodgson and Brookes, 1999). Data from Australia (Doyle et al., 1996) showed that pasture DMI continues to increase as PA increases up to 15 kg DM/100 kg of BW or 90 kg DM/cow per day for a 600-kg BW dairy cow. Pasture DMI increased curvilinearly from 11.2 to 18.5 kg DM/cow per day as PA increased from 20 to 70 kg DM/cow per day, with a plateau at a PA of 55.2 kg DM/cow per day (Dalley et al., 1999). Peyraud et al. (1996) reported a curvilinear relationship between pasture DMI and PA from 20 to 40 kg DM/cow per day, with pasture DMI reaching a plateau at a PA of 32.6 kg DM/cow per day. Wales et al. (1999) reported that as PA increased from 20 to 70 kg DM/cow per day, pasture DMI increased linearly from 7.1 to 16.2 kg DM/cow per day with a pregrazing pasture mass of 3100 kg DM/ha, and from 9.9 to 19.3 kg DM/cow per day with a pregrazing pasture mass of 4900 kg DM/ha.
Recent research has studied the effect of PA on pasture DMI of high producing dairy cows with no supplementation. Pasture DMI of dairy cows grazing an orchardgrass pasture was 17.5 and 20.6 kg DM/cow per day at low (25 kg DM/cow per day) and high (40 kg DM/cow per day) PA, respectively (Bargo et al., 2002a). In two experiments that measured PA at a 5-cm cutting height (Delaby et al., 2001), pasture DMI increased from 11.3 to 13.0 kg/cow per day as PA increased from 12.1 to 15.8 kg of DM/cow per day, and from 12.9 to 15.0 kg/cow per day as PA increased from 16.5 to 21.0 kg DM/cow per day. Stockdale (2000a) reported an increase in pasture DMI from 14.3 to 19.3 kg/d when PA of a ryegrass pasture was increased from 26.7 to 53.5 kg DM/cow per day. Dalley et al. (2001) also reported an increase of pasture DMI from 13.6 to 17.9 kg/d as the PA of a ryegrass pasture increased from 40 to 65 kg DM/cow per day. Pasture DMI by high producing dairy cows in early lactation increased from 11.2 to 15.6 kg/d when PA of a ryegrass pasture was increased from 19 to 37 kg DM/cow per day (Wales et al., 2001).
In summary, over a range of PA from 20 to 70 kg DM/cow per day, pasture DMI increased 0.19 kg/kg of increased PA (range: 0.17 to 0.24 kg/kg). Data from seven studies (Peyraud et al., 1996; Dalley et al., 1999; 2001; Stockdale, 2000a; Delaby et al., 2001; Wales et al., 2001; Bargo et al., 2002a) were used to describe the relationship between pasture DMI and PA for dairy cows on pasture-only diets. In those studies, cows ranged from 19 to 182 DIM and produced from 23.0 to 45.8 kg/d of milk at the start of the experiment, grazed at a PA from 12.1 to 70 kg DM/cow per day, and consumed 6.7 to 20.5 kg DM/cow per day of pasture. Observations were weighted as described by St-Pierre (2001) to account for unequal replications and variances of the means across studies. Pasture allowance and its quadratic term were considered as independent variables. Parameter estimates for the final equation were obtained using a mixed model approach (i.e., trial was considered a random effect) using the MIXED procedure of SAS (1999). The regression analysis for pasture DMI (PDMI, kg/d) resulted in a best-fit model that included terms for PA (kg DM/cow per day) and its quadratic term: PDMI = 7.79 (SE 1.49) + 0.26 (SE 0.06) PA - 0.0012 (SE 0.0007) PA2; R2 = 0.95. Based on this equation, the optimum PA to maximize pasture DMI (21.9 kg/d) is reached at 110 kg DM/cow per day, and pasture DMI increased 0.26 kg/kg of increase in PA up to 110 kg DM/cow per day.
If the goal is to maximize pasture DMI of high producing dairy cows, management must ensure unrestricted pasture quality and quantity, which is only found for short periods of time during the spring. Unrestricted pasture conditions (i.e., high PA) also implies low pasture utilization (pasture DMI/PA < 50%; McGilloway and Mayne, 1996). The use of very high PA might also result in deterioration of pasture quality as the season progresses because of the increase in residual pasture height (Peyraud and Delaby, 2001). The studies reviewed indicate that maximum pasture DMI is achieved when PA is between 3 to 5 times the DMI, which is in agreement with the regression described above. However, even under unrestrictive pasture conditions, total DMI amounts achieved by high producing dairy cows are lower than those by cows consuming TMR (Kolver and Muller, 1998) or pasture plus supplements (Bargo et al., 2002aBargo et al., 2002b). Because of low pasture utilization and deterioration of pasture quality at high PA, a practical recommendation is to provide a PA of 2 times the expected pasture DMI or 25 kg DM/cow per day of PA when cows are also fed supplements (Bargo et al., 2002a).
Methods and Equations to Estimate DMI in Grazing Cows
Estimation of DMI in grazing cows is more difficult and less accurate when compared with the determination of DMI by cows on confinement systems. An extensive review of the different methods and techniques to estimate DMI in grazing cows was published by Leaver (1982). Techniques may be classified as either pasture- or animal-based (Meijs et al., 1982). An extensive review of pasture measurement techniques can be found in Mannetje (2000). The main disadvantage of pasture-based techniques is that pasture DMI is estimated as a group and not individually. The most common animal-based technique used is based on the estimation of fecal production and diet digestibility (Le Du and Penning, 1982; Peyraud, 1998): DMI = fecal production/(1 - digestibility of the diet). Fecal production is estimated using markers such as chromium oxide (Peyraud, 1998) and alkanes (Dove and Mayes, 1991; Dove and Mayes, 1996). A comparison between those two methods has been reported by Mallossini et al. (1996), who concluded that estimation of pasture DMI was similar if a 95.5% recovery is assumed for chromium oxide.
Because estimation of DMI by grazing cows demands the use of labor-intensive and indirect techniques that have several sources of error, equations based on animal and pasture characteristics have been developed to predict DMI of grazing cows (Caird and Holmes, 1986; Vazquez and Smith, 2000). Caird and Holmes (1986) used data from nine experiments conducted with cows grazing ryegrass, consuming 1.2 kg/d of concentrate, and producing 21.5 kg/d of milk on average to predict total DMI. Animal variables included total OM intake (TOMI, kg/d), herbage OM intake, concentrate DMI (CDMI, kg/d), BW (kg), milk yield (MY, kg/d), herbage OM digestibility, and week of lactation. Pasture variables included herbage mass (HM, tonne of OM/ha), PA (kg OM/cow per day), and sward height (SHT, cm). For rotationally grazed cows the best equation (R2 = 0.68) was: TOMI = 0.323 + 0.177MY + 0.010BW + 1.636CDMI - 1.008HM + 0.540PA - 0.006PA2 - 0.048PA x CMDI.
Vazquez and Smith (2000) used data from 27 grazing studies with dairy cows to obtain regression equations to predict total and pasture DMI. Mean milk production and supplementation amount were 15.9 and 1.9 kg/d, respectively. Independent variables included 4% FCM (kg/d), days since calving, PA (kg DM), NDF in pasture available (NDFp, % DM), NDF in pasture selected (NDFs, % DM), percentage of legumes in pasture (LEG, %), amount of concentrate supplemented (kg DM), amount of forage supplemented (kg DM), total supplementation (SUP, kg DM), PA and total supplementation interaction (PASUP), BW (kg), and change in BW (CBW, kg/d). The best equation (R2 = 0.95) for total DMI (TDMI) estimation was: TDMI = 4.47 + 0.14FCM + 0.024BW + 2.00CBW + 0.04PA + 0.022PASUP + 0.10SUP - 0.13NDFp - 0.037LEG. The best equation to estimate PDMI (R2 = 0.91) was: PDMI = 4.47 + 0.14FCM + 0.024BW + 2.00CBW + 0.04PA + 0.022PASUP - 0.90SUP - 0.13NDFp - 0.037LEG.
Equations developed by Caird and Holmes (1986) and Vazquez and Smith (2000) differ from the equation presented by NRC (2001) to estimate DMI. While those equations included pasture and supplement variables, the NRC (2001) equation is based only on animal variables such as FCM (kg/d), BW (kg), and week of lactation (WOL): DMI = (0.372 x FCM + 0.0968 x BW0.75) x (1 - e (-0.192 x (WOL + 3.67))). We used a dataset of 56 measures from Bargo et al. (2002b), who measured DMI four times during the grazing season using Cr2O3 as a fecal marker in dairy cows that grazed an orchardgrass pasture and were supplemented with 8.7 kg/d of a corn-based concentrate. Cows, pasture, and supplement information reported in that study (Bargo et al., 2002b) were used to estimate DMI with the equations of Caird and Holmes (1986), Vazquez and Smith (2000), and NRC (2001). Total DMI estimated by the equations of NRC (2001) (21.9 kg/d) or Caird and Holmes (1986) (21.2 kg/d) did not differ from DMI measured by Cr2O3 (21.6 kg/d) (P > 0.05), but estimation of DMI by the equation of Vazquez and Smith (2000) (24.4 kg/d) was higher than measured DMI (P < 0.05). This indicates that estimation of DMI using the equations of Caird and Holmes (1986) and NRC (2001) was accurate for this particular dataset with high producing dairy cows, with the advantage that the NRC (2001) equation is simpler and requires only animal factors.
| GRAZING BEHAVIOR |
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Grazing Behavior on Pasture-Only Diets
Among the three grazing behavior variables, bite mass has the greatest influence on pasture DMI (Forbes, 1988; McGilloway and Mayne, 1996). Although bite mass is also affected by the animals anatomy characteristics (e.g., mouth; Rook, 2000), it is principally determined by pasture-related characteristics (Hodgson and Brookes, 1999), such as pasture height (Phillips, 1993; McGilloway et al., 1999) and density (Rook, 2000). Pasture height is the major constraint on bite mass in temperate pastures, with the effect primarily on bite depth rather than on bite area (Rook, 2000). Dairy cows consistently remove around one-third of the height of pasture, regardless of pasture height (Wade et al., 1989). Bite mass decreases with a reduction in pasture height both in unsupplemented (Gibb et al., 1997; McGilloway et al., 1999) and supplemented (Rook et al., 1994) dairy cows.
In many grazing behavior studies, pasture height is expressed as sward surface height, which refers to the height of the top surface of the leaf canopy on an undisturbed sward (Hodgson and Brookes, 1999). Gibb et al. (1997) reported that for dairy cows continuously grazing ryegrass, bite mass decreased from 0.31 g OM/bite at 7 or 9 cm to 0.23 g OM/bite at 5 cm, whereas neither biting rate (76 bites/min) nor grazing time (604 min/d) were affected by sward surface height. McGilloway et al. (1999) found that bite mass decreased from 1.28 to 0.85 g DM/bite in one experiment with reductions in sward surface height (from 21 to 7 cm) and from 1 to 0.66 g DM/bite in a second experiment with reductions in sward surface height (from 11 to 6 cm), while biting rate was not affected (56 bites/min in experiment 1; 62 bites/min in experiment 2). In a third experiment, an interaction was found between sward surface height and density; bite mass was reduced with reductions in sward surface height more at low pasture density (from 1.02 to 0.47 g DM/bite) than at high pasture density (from 0.97 to 0.63 g DM/bite; McGilloway et al., 1999).
Grazing time and biting rate are influenced by animal-related characteristics such as genetic merit and milk production. Both grazing time and biting rate act as compensatory mechanisms to avoid reductions in pasture DMI when bite mass decreases. However, these compensatory mechanisms have a limit. The upper limit of grazing time to compensate for a reduction in bite mass is determined for the time required for other activities such as ruminating (Rook, 2000). Under poor pasture conditions (e.g., very short pasture), all three variables decline (Hodgson and Brookes, 1999). High genetic cows had higher grazing time and biting rate than low genetic cows supplemented with concentrate (Bao et al., 1992). High genetic cows grazed a ryegrass pasture for longer time (218 vs. 204 min, measured visually for a period of 7 h) and at a higher biting rate (64 vs. 61 bites/min) than low genetic cows. Two recent studies (Pulido and Leaver, 2001; Bargo et al., 2002b) reported that high producing cows had greater grazing time, number of bites per day, and rate of intake than low producing cows. Bargo et al. (2002b) found a positive relationship between MY (kg/d) and the number of bites per day (TB, bites/d) for cows producing more than 25 kg/d of milk grazing a orchardgrass pasture and supplemented with 8.7 kg/d of concentrate: MY = 14.1 + 0.0005 TB (R2 = 0.74), which indicates an increase of 5 kg/d of milk for every 10,000 bites/d (Bargo et al., 2002b).
Effect of Supplementation on Grazing Behavior
Studies evaluating the effect of supplementation on grazing behavior of dairy cows are presented in Table 1
. Increasing the amount of concentrate reduced grazing time but did not affect biting rate (Arriaga-Jordan and Holmes, 1986; Kibon and Holmes, 1987; Rook et al., 1994; Bargo et al., 2002a; Gibb et al. 2002). Arriaga-Jordan and Holmes (1986) reported that grazing time was reduced 11 min/kg of concentrate in continuous grazing and 8 min/kg of concentrate in rotational grazing, while biting rate was not affected by the amount of supplementation. Rook et al. (1994) reported that concentrate supplementation, but not pasture height, reduced grazing time 20 min/kg of concentrate. Bite mass decreased as pasture height decreased, while the supplementation amount had no effect on bite mass (Rook et al., 1994). Amount but not type of energy supplement (cereal vs. beet pulp) reduced grazing time 8 to 12 min/kg of concentrate by dairy cows grazing ryegrass at two pasture heights (Kibon and Holmes, 1987). Biting rate was not affected by supplementation amount, type of supplement or pasture height, while bite mass was lower at the low pasture height (Kibon and Holmes, 1987). Recently, Sayers (1999) found that total bites per day and grazing time were higher when cows were supplemented with a fiber-based concentrate than when cows were supplemented with a starch-based concentrate, whereas bite mass was not affected. When the amount of concentrate was increased from 5 to 10 kg/d, total bites/d decreased from 22,023 to 16,933 and grazing time decreased 16 and 20 min/kg of fiber-based or starch-based concentrate, respectively (Sayers, 1999).
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Data from Table 1
show that concentrate supplementation (mean: 4.1 kg/d; range: 2 to 8 kg/d) did not affect biting rate (mean: 58 bites/min; range: 45 to 78 bites/min) or bite mass (mean: 0.46 g of DM/bite; range: 0.27 to 0.64 g of DM/bite) but reduced grazing time by 34 min/d (SE 9 min/d, range: -212 to 25 min/d compared with controls; Students t-test, significantly different from zero, P < 0.01) and total bites per day by 2291 (SE 534, range: -6672 to 2833 compared with controls; Students t-test, significantly different from zero, P < 0.01). Regression analysis, accounting for the random effect of each study (St-Pierre, 2001), resulted in a negative relationship between grazing time (GT, min/d) and CDMI (kg/d): GT = 578 (SE 23) - 12 (SE 2) CDMI (R2 = 0.88). Average grazing time for unsupplemented cows is 578 min/d and grazing time is reduced by 12 min/d for every kilogram of concentrate.
| SUBSTITUTION RATE AND MILK RESPONSE TO SUPPLEMENTATION |
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Substitution rate is one of the main factors explaining the variation observed in milk response (MR) to supplementation (Kellaway and Porta, 1993; Stockdale, 2000a). Milk response to supplementation is expressed as kg milk/kg supplement, but it can be defined as: 1) overall MR or the increase in kilograms of milk per kilogram of supplement DMI calculated relative to an unsupplemented treatment; and 2) marginal MR or the increase in kilograms of milk per kilogram of incremental increase in supplement DMI calculated for different amounts of supplement. There is usually a negative relationship between SR and MR. When SR is large, resulting in a small increase in total DMI, the MR is low. Milk response in the short-term determines whether supplementation is profitable based on milk and concentrate prices. However, additional long-term factors should also be considered in any economic evaluation, including increase in stocking rates on the farm, improvement in pasture utilization, positive effects on BCS and reproduction, increase in lactation length, and positive effects on milk composition (Kellaway and Porta, 1993).
Because SR and MR are closely related, factors affecting these two variables are discussed together. Substitution rate and MR to supplementation are affected by several pasture, animal, and supplement factors (Stockdale, 2000a; 2000b). The most important pasture-related factors are PA, pasture height, pasture species, pasture mass, and pasture quality. The most important supplement-related factors are amount and type of supplementation, and the most important animal-related factors are genetic merit of cows, production level, and stage of lactation.
Pasture Allowance
Many studies have reported that SR increases as PA increases (Meijs and Hoekstra, 1984; Stockdale and Trigg, 1985; Stakelum, 1986a, 1986b; Grainger and Mathews, 1989; Robaina et al., 1998; Bargo et al., 2002a). Many of these studies were conducted with low producing cows supplemented with less than 5 kg DM/d of concentrate; only the study of Bargo et al. (2002a) reported high producing cows fed more than 7 kg DM/d of concentrate. When stratifying the treatments in those studies as either low PA (<25 kg DM/cow per day; range: 7.6 to 25 kg DM/cow per day) or high PA (>25 kg DM/cow per day; range: 25 to 42.3 kg DM/cow per day), SR averaged 0.20 kg pasture/kg concentrate (range: 0 to 0.31 kg pasture/kg concentrate) at low PA, and 0.62 kg pasture/kg concentrate (range: 0.55 to 0.69 kg pasture/kg concentrate) at high PA. Considering the study effect as random (St-Pierre, 2001), a significant regression was found between SR (kg pasture/kg concentrate) and PA (kg DM/cow per day): SR = -0.55 (SE 0.13) + 0.05 (SE 0.009) PA -0.0006 (SE 0.0002) PA2 (R2 = 0.94).
Grazing studies evaluating the effect of PA on SR and MR of high producing dairy cows reported that SR increased and MR decreased as PA increased (Table 2
). All those studies showed a negative relationship between MR and SR (Figure 1
). Considering the variation due to each study (St-Pierre, 2001), the data from those experiments showed a negative relationship between MR (kg milk/kg concentrate) and SR (kg pasture/kg concentrate): MR = 1.71 (SE 0.29) - 2.01 (SE 0.66) SR (R2 = 0.43), indicating that the lower the SR the higher the MR expected. This is in agreement with Stockdale (2000b), who summarized data from 20 grazing experiments and reported that MR was negatively related with SR. Higher SR observed when cows grazed at high PA may be partially explained by the higher quality of pasture actually consumed (Dixon and Stockdale, 1999). Because cows grazing at high PA have the opportunity to be more selective, pasture actually eaten has higher digestibility than at low PA (Mayne and Wright, 1988).
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Accounting for the random effect of study (St-Pierre, 2001), analysis of the data from the four experiments resulted in no relationship between MR and SR, as indicated by the following nonsignificant linear equation: MR = 0.95 (SE 0.25) - 0.28 (SE 0.51) SR (R2 = 0.02). Based on those studies, the type of relationship between MR and SR when high producing dairy cows on pasture are supplemented with increasing amounts of concentrate is not clear. The lack of a consistent relationship could be attributed to the fact that only few grazing studies have focused on MR with different amounts of concentrate (Peyraud and Delaby, 2001).
Level of Supplementation: Marginal and Overall Milk Response
The marginal MR to increasing amounts of concentrate has been described as curvilinear; i.e., the marginal increase in milk per kilogram of concentrate decreases as the amount of concentrate increases (Kellaway and Porta, 1993). Marginal MR decreased above 3 to 4 kg DM/d of concentrate in some studies, but this is not consistent and occurred primarily when pasture quality and quantity were not limiting and with cows of moderate genetic merit (Peyraud and Delaby, 2001). The response in milk production of high producing dairy cows grazing pasture and supplemented with different amounts of concentrate is shown in Figure 2
. The studies were grouped into two categories: 1) those with cows producing more than 28 kg/d at the beginning of the experiment regardless of stage of lactation or with less than 90 DIM, and 2) those with cows producing less than 23 kg of milk/d and more than 160 DIM.
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The intercepts (12.9 vs. 22.4 kg/d) in Figure 2
show the differences in stage of lactation and may also indicate differences in genetic merit between the two groups; however, these two factors are confounded. From this figure it can be concluded that milk production of high producing dairy cows in early lactation increases linearly as the amount of concentrate increases from 1.8 to 10 kg DM/d with an overall MR of 1 kg milk/kg concentrate. Milk production of high producing dairy cows in late lactation, however, increases as the amount of concentrate increase cows but with a lower marginal MR per kilogram of concentrate. To avoid metabolic health problems such as acidosis or subclinical acidosis, it is not recommended to supplement more than about 10 kg DM/d (or >50% of the total diet DMI). At that limit, decreased marginal MR traditionally observed when supplementation is increased did not occur with high producing cows. Another factor that needs to be considered is the pasture quality. The NDF was >50% in several studies, suggesting that high fiber intake may allow for feeding high amounts of concentrate.
Previous reviews (Journet and Demarquilly, 1979) reported average MR from 0.4 to 0.6 kg milk/kg concentrate. However, recently Peyraud and Delaby (2001) reported that the MR to concentrate was higher than previously reported research in the literature published after 1990, which can be attributed to the increase in genetic merit of cows. A greater response to supplementation may be expected in high genetic merit cows because they partition more nutrients to milk production and lose more BW in early lactation than low genetic merit cows (Kellaway and Porta, 1993). Stage of lactation also influences lactational responses to concentrate supplements (Dixon and Stockdale, 1999). In early lactation, cows partition more nutrients toward milk production, thus MR to supplementation may be higher than in late lactation, when more nutrients are directed to BW (Kellaway and Porta, 1993). The average milk yield response to concentrate supplementation of grazing cows supplemented with 3 kg DM/d concentrate was 0.7, 0.4, 0.5, and 0 kg milk/kg concentrate when they were between 86 to 114, 115 to 133, 134 to 187, and 188 to 243 DIM, respectively (OBrien et al., 1999). Summarizing five experiments with supplement DMI from 0 to 7 kg/d, the marginal MR was 1.3, 1.1, and 0.7 kg milk/kg supplement in early, mid, and late lactation (Stockdale et al., 1987).
Type of Supplement
The type of supplement influences SR and animal performance (Stockdale, 2000b). Forage supplementation decreases pasture DMI more than concentrates (Mayne and Wright, 1988). Including both low and high PA, SR ranged from 0.84 to 1.02 kg/kg for grass silage supplementation and from 0.11 to 0.50 kg/kg for concentrate supplementation (Mayne and Wright, 1988). Recently, Stockdale (2000b) reviewed 39 datasets from grazing studies and concluded that supplementation with forages, such as hay or corn silage, resulted in higher SR than supplementation with concentrates. Stockdale (1999b) found, however, that SR were similar when dairy cows grazing a ryegrass/white clover pasture were supplemented with grain or hay, which shows that the effects of supplement type on SR may not occur if both PA and amount of supplementation are low.
Meijs (1986) reported that SR was reduced from 0.45 kg pasture/kg high-starch concentrate to 0.21 kg pasture/kg fiber-based concentrate when cows grazed a ryegrass pasture. Studies with high producing dairy cows grazing or fed fresh-cut forage in confinement evaluated the effect of type of concentrate (starch vs. fiber-based) on SR and MR (Table 2
). Two studies (Schwarz et al., 1995; Sayers, 1999) had a negative relationship between MR and SR, while the third study (Spörndly, 1991) had a positive of relationship. In the studies of Schwarz et al. (1995) and Spörndly (1991), however, the effect of type of concentrate is confounded with the effect of the amount fed because two amounts of each type of concentrate were fed. They were also conducted in confinement, a condition in which SR may differ from grazing studies. Combining the data from these three experiments and accounting for the random effect of each study (St-Pierre, 2001), no general relationship was found between MR and SR, as indicated by the following nonsignificant linear equation: MR = 0.75 (SE 0.36) - 0.43 (SE 0.64) SR (R2 = 0.53). Based on those three studies, there is not enough information in the literature to conclude the type of relationship between MR and SR when high producing dairy cows on pasture are supplemented with starch or fiber-based concentrates.
Causes of Substitution Rate
It has been hypothesized that SR is caused by negative associative effects in the rumen (Dixon and Stockdale, 1999), or reduction in grazing time (McGilloway and Mayne, 1996). When concentrate supplements are included in pasture diets, associative effects may occur if digestive and metabolic interactions between them change the intake of energy (Dixon and Stockdale, 1999). An increase in total digestibility may be expected with the inclusion of concentrates in the diet because they are usually higher in digestibility than pasture. However, interactions between the digestion of concentrates and pasture may reduce fiber digestion (Dixon and Stockdale, 1999). The energy provided by the concentrate (fermentable carbohydrates) may lead to reductions in ruminal pH, which may decrease the activity or number of cellulolytic bacteria, reduce the rate of fiber digestion of pasture, and therefore pasture DMI (Dixon and Stockdale, 1999). Based on this hypothesis, small amounts of concentrate supplementation or supplementation with concentrates with a slow rate of degradation would result in lower SR (Kellaway and Porta, 1993). However, studies on the effect of amount of concentrate supplementation on SR (Table 2
) did not show a clear trend to lower SR with small amounts of concentrate, probably because of the small number of studies. Under the same hypothesis, concentrates that are more slowly degraded in the rumen (e.g., fiber-based concentrates) would minimize SR compared with concentrates that are more rapidly degraded in the rumen (e.g., starch-based concentrates) because ruminal pH would be higher with fiber-based concentrates. However, the effect of the type of concentrate (Table 2
) showed inconsistent results, which may be related to the different sources and proportion of starch and fiber that determines the rate of ruminal degradation. More information is needed related to the type and amount of concentrate supplementation and their interaction on SR of high producing dairy cows on pasture.
The second hypothesis proposed to explain SR is related to grazing time. It has been suggested that reductions in grazing time by supplementation would explain SR (Mayne and Wright, 1988; McGilloway and Mayne, 1996). A significant negative relationship was presented and discussed above between grazing time and concentrate DMI, which indicates a reduction of 12 min/d per kilogram of concentrate.
Bargo et al. (2002a) studied ruminal digestion and grazing time of high producing dairy cows grazing at low and high PA to test both hypotheses on SR. Substitution rate was higher (0.55 vs. 0.26 kg pasture/kg concentrate) when supplemented cows grazed at higher PA (40 vs. 25 kg of DM/cow per day), and it was related to both negative associative effects in the rumen and reduction in grazing time. Supplementation with 7.9 kg/d of a corn-based concentrate reduced ruminal pH, ruminal degradation rate of pasture, and fiber digestibility at both PA (Bargo et al., 2002a). Grazing time was reduced 75 min/d, with supplementation at the low PA, which explained nearly all of the 2.0 kg/d reduction in pasture DMI measured by Cr2O3 (75 min/d x 55 bites/min x 0.55 g of DM/bite = 2.3 kg/d). At the high PA, concentrate supplementation reduced grazing time 104 min/d and explained 80% of the 4.4 kg/d reduction in pasture DMI (104 min/d x 56 bites/min x 0.60 g of DM/bite = 3.5 kg). The remaining 20% may be related to negative associative effects in the rumen; for example, the decrease in apparent digestibility of NDF by concentrate supplementation was greater at the high PA than at the low PA (4.3 vs. 1.1 percentage points, respectively; Bargo et al., 2002a).
| EFFECT OF SUPPLEMENTATION ON DRY MATTER INTAKE, MILK PRODUCTION, AND MILK COMPOSITION |
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The studies presented in Table 3
reported that milk production increase averaged 4.4 kg/d (SE 0.6 kg/d, range: 0.8 to 10.6 kg/d; Students t-test, significantly different from zero, P < 0.01) with the amount of supplementation or 22% compared with the pasture-only diet treatments (19.7 kg/d). When corrected for the random effect of study (St-Pierre, 2001), a significant positive relationship was found between milk production increase (MPi, kg/d) and CDMI (kg/d) and TDMIi (kg/d): MPi = 0.09 (SE 0.65) + 0.26 (SE 0.12) CDMI + 0.89 (SE 0.19) TDMIi (R2 = 0.98).
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Several authors reported that increasing the amount of concentrate supplementation increased milk protein percentage (Hoden et al., 1991; Spörndly, 1991; Wilkins et al., 1994; Sayers, 1999; Reis and Combs, 2000b; Valentine et al., 2000; Bargo et al., 2002a). Linear increases in milk protein percentage have been reported for a wide range of amounts of supplementation, including 0 to 4 kg DM/d (Hoden et al., 1991; Wilkins et al., 1994), 0 to 10 kg DM/d (Reis and Combs, 2000b), and 7 to 13 kg DM/d (Valentine et al., 2000). Other studies, however, found no changes in milk protein percentage within a range of supplementation from 0 to 3.6 kg DM/d (Dillon et al., 1997) and 0 to 10.4 kg DM/d (Walker et al., 2001). Overall, the increase in protein percentage averaged 0.13 percentage units (SE 0.01 percentage units, range: 0.01 to 0.25 percentage units; Students t-test, significantly different from zero, P < 0.01) or 4% compared to the pasture-only diet treatments (3.06%). When corrected for the random effect of study (St-Pierre, 2001), a significant positive relationship was found between protein percentage increase (PPi) and CDMI (kg/d): PPi = 0.05 (SE 0.03) + 0.01 (SE 0.003) CDMI (R2 = 0.72). Protein yield was increased numerically (Spörndly, 1991; Robaina et al., 1998; Walker et al., 2001) or significantly (Hoden et al., 1991; Wilkins et al., 1994; Dillon et al., 1997; Reis and Combs, 2000b; Valentine et al., 2000; Bargo et al., 2002a) with supplementation: 0.17 kg/d (SE 0.02 kg/d, range: 0.04 to 0.36 kg/d; Students t-test, significantly different from zero, P < 0.01) or 30% compared with the pasture-only diet treatments (0.56 kg/d). When corrected for the random effect of study (St-Pierre, 2001), a significant positive relationship was found between protein yield increase (PYi, kg/d) and CDMI (kg/d) and TDMIi (kg/d): PYi = 0.01 (SE 0.02) + 0.01 (SE 0.004) CDMI + 0.03 (SE 0.006) TDMIi (R2 = 0.96).
Starch vs. fiber-based concentrates.
Studies comparing starch or fiber-based concentrates for high producing dairy cows on pasture are presented in Table 4
. Some of those were grazing studies (Meijs, 1986; Sayers, 1999; Delahoy et al., 2003), and others were confinement studies with cows fed fresh-cut forage (Garnsworthy, 1990; Valk et al., 1990; Spörndly, 1991; Schwarz et al., 1995). Sources of starch included corn (Schwarz et al., 1995; Valk et al., 2000; Delahoy et al., 2003), barley (Spörndly, 1991), cassava (Meijs, 1986), or the combination of barley, wheat, and corn (Garnsworthy, 1990; Sayers, 1999). Sources of fiber included oatfeed (Garnsworthy, 1990), and beet pulp either alone (Spörndly, 1991; Schwarz et al., 1995; Valk et al., 2000) or combined with soy hulls (Meijs, 1986; Delahoy et al., 2003) or citrus pulp (Sayers, 1999). Because starch sources are more commonly used to supplement dairy cows on pasture than fiber sources, results of these studies are summarized as the effect of fiber-based concentrate compared to starch-based concentrates.
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Milk production was increased when fiber-based concentrates replaced starch-based concentrates in only one grazing study (Meijs, 1986), while two grazing studies reported similar milk production (Sayers, 1999; Delahoy et al., 2003). In the confinement studies, milk production was not affected (Garnsworthy, 1990; Spörndly, 1991; Schwarz et al., 1995) or was reduced (Valk et al., 1990) by fiber-based concentrates compared to starch-based concentrates. The higher milk production with starch-based concentrates in the study of Valk et al. (1990) could be attributed to the higher total DM and energy intake in that treatment. Overall, milk production was slightly reduced (-0.46 kg/d) when fiber-based concentrates replaced starch-based concentrates, but the range of variation is large (-2.6 to 1.3 kg/d).
Most of the studies (Meijs, 1986; Garnsworthy, 1990; Valk et al., 1990; Schwarz et al., 1995; Delahoy et al., 2003) did not report changes in milk fat percentage. However, Sayers (1999) reported higher fat percentage with fiber-based than with starch-based concentrates, particularly when large amounts of concentrate (10 kg DM/d) were supplemented to cows grazing a ryegrass pasture. In contrast, Spörndly (1991) found that in confinement, fiber-based concentrates reduced milk fat content. However, in that study, cows consumed 2 kg DM/d of hay, which makes comparison between the studies difficult. Replacing starch-based by fiber-based concentrates reduced significantly (Spörndly, 1991; Sayers, 1999; Delahoy et al., 2003) and numerically (Meijs, 1986; Valk et al., 1990; Schwarz et al., 1995) milk protein percentage. Overall, milk protein percentage was reduced -0.06 percentage units (range: -0.21 to 0.05 percentage units) with fiber-based concentrates compared with starch-based concentrates.
The number of studies in which fiber-based concentrates replaced starch-based concentrates is too small to make strong conclusions, and half of the studies were conducted in confinement. Inconsistency in the results can also be attributed to differences in the source of starch or fiber used in the concentrate, type of pasture, and other components in the diet, all factors that may affect the rate of degradation of concentrates in the rumen. Meijs (1986) suggested that supplementing a highly degradable pasture with a starch-based concentrate might reduce ruminal pH and pasture ruminal digestion, increase retention time of feed in the rumen, and decrease pasture DMI. Replacing starch-based concentrates with fiber-based concentrates would maintain higher pH in the rumen, enhance pasture digestion, and result in higher DMI. In the studies of Meijs (1986) and Sayers (1999) both pasture (ryegrass) and starch (cassava or barley plus wheat) were highly degradable in the rumen and could explain the response in DMI with fiber-based concentrate. In the study of Spörndly (1991), the inclusion of hay in the diet may have maintained a higher pH in the rumen and therefore explain similar DMI even with highly degradable starch source such as barley. The use of a starch source with lower degradability than barley such as corn (Schwarz et al., 1995; Delahoy et al., 2003) may not be as detrimental to ruminal pH and may explain similar pasture DMI observed in those studies with cows grazing a slowly degradable pasture of orchardgrass (Delahoy et al., 2003).
Processed grain.
Processing methods for grains used for dairy cows have been extensively reviewed (Theurer et al., 1999); however, that review focused on cows fed TMR diets in confinement. Studies evaluating the effect of processed grains such as corn or sorghum on DMI, and milk production and composition of dairy cows on pasture are presented in Table 5
. Seven of those eight studies were grazing studies (Bargo et al., 1998; Pieroni et al., 1999; Reis and Combs, 2000a; Soriano et al., 2000; Alvarez et al., 2001; Wu et al., 2001; Delahoy et al., 2003), and one was conducted in confinement with fresh-cut forage (Reis et al., 2001). Results are summarized as the effect of forms of processing compared with unprocessed (dry) forms. Forms of processing included high moisture corn (Soriano et al., 2000; Alvarez et al., 2001; Reis et al., 2001; Wu et al., 2001), steam-flaked corn with a density of 290 (Bargo et al., 1998) or 360 g/L (Delahoy et al., 2003), steam-rolled corn with a density of 591 g/L (Reis and Combs, 2000a), and steam-flaked sorghum with a density of 480 g/L (Pieroni et al., 1999).
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Compared with unprocessed grains, supplementation with processed grains did not change milk fat percentage in seven of eight studies (Bargo et al., 1998; Pieroni et al., 1999; Reis and Combs, 2000a; Soriano et al., 2000; Alvarez et al., 2001; Delahoy et al., 2003; Reis et al., 2001); only Wu et al. (2001) reported a reduction in milk fat content. Only two of the eight studies (Alvarez et al., 2001; Wu et al., 2001) found higher milk protein percentage with high moisture corn than with dry corn. Increase in milk protein content averaged 3% (0.09 to 0.11 percentage units), which may suggest an increase in ruminal available energy with processed corn. Overall, the replacement of unprocessed by processed grains resulted in small changes in milk fat (mean: -0.06 percentage units, range: -0.39 to 0.16 percentage units) and protein (mean: 0.04 percentage units, range: -0.03 to 0.11 percentage units) content in milk.
Although the number of studies is not large enough to make strong conclusions, the lack of response to processed grains can be related to changes only in site of digestion (i.e., more energy available in the rumen with processed grains vs. more energy available postruminally with unprocessed grains) without affecting the total energy intake. Another factor is that almost all the studies were conducted with dairy cows after the peak of lactation or with relatively low producing cows resulting in cows in positive energy balance.
Rumen Undegradable Protein Supplementation
The use of RUP sources for dairy cows has been extensively reviewed by Santos et al. (1998); however, that review focused on TMR fed in confinement. Supplementation with RUP might be necessary for high producing dairy cows on pasture because the basal diet of pasture has a high ruminal CP degradability (>70%), and therefore provides smaller amounts of RUP compared with cows on TMR diets. The effect of supplementation with isonitrogenous concentrates based on various sources of RDP or RUP on DMI and milk production and composition of high producing dairy cows on pasture is shown in Table 6
. All the studies were conducted with cows in early lactation (<75 DIM) supplemented with isonitrogenous concentrates that ranged from 14 to 24% CP, where RDP sources such as soybean meal (Hongerholt and Muller, 1998; McCormick et al., 1999, 2001a, 2001b; Schor and Gagliostro, 2001), sunflower meal (Schroeder and Gagliostro, 2000; Bargo et al., 2001), and urea or rapessed meal (Tesfa et al., 1995) were replaced by RUP sources such as animal protein blend (Hongerholt and Muller, 1998), corn gluten meal (McCormick et al., 1999; 2001a), expeller soybean meal (McCormick et al., 2001b), blood meal (McCormick et al., 2001a; Schor and Gagliostro, 2001), feather meal (Bargo et al., 2001), heat-treated rapeseed meal (Tesfa et al., 1995), and fish meal (Schroeder and Gagliostro, 2000).
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Of the eight studies, only two (Schroeder and Gagliostro, 2000; Schor and Gagliostro, 2001) reported an increase in milk production with supplementation of high RUP concentrates. Milk response ranged from 6 (Schroeder and Gagliostro, 2000) to 18% (Schor and Gagliostro, 2001). Most of the studies reported that the content of RUP in the concentrate supplemented did not affect fat or protein percentage in milk. Milk fat percentage was increased when soybean meal was replaced by corn gluten meal and blood meal (McCormick et al., 2001a). Two studies showed inconsistent results in milk protein percentage, with reductions (Bargo et al., 2001) or increases (McCormick et al., 2001) as the amount of RUP increased, which could be attributed to differences in amino acids composition in the RUP sources.
The amount of RUP escaping the rumen in cows fed pasture-based diets is a function of pasture DMI and its RUP content, and the supplement DMI and its RUP content. The pasture species have a large impact on the amount of RUP. For example, a winter oats pasture containing 18.4% CP and 19.3% RUP (% of CP) provided 472 g/d when constituting 67% of the total diet DMI (Bargo et al., 2001), while an orchardgrass pasture containing 24.8 and 39.1% RUP (% of CP) provided 1096 g/d when constituting 55% of the total diet DMI (Hongerholt and Muller, 1998). Total diet RUP intake was increased from 893 to 1153 g/d (Bargo et al., 2001), from 1077 to 1234 g/d (Hongerholt and Muller, 1998), from 1316 to 1680 g/d (McCormick et al., 1999), from 1109 to 1593 (McCormick et al., 2001a), from 1710 to 1869 g/d (McCormick et al., 2001b), and from 1011 to 1647 g/d (Schor and Gagliostro, 2000). Although, many of the studies did not report a response in milk production when RUP was increased in the concentrate, a significant positive relationship was found between MY (kg/d) and RUP intake (RUPI, g/d): MY = 19.35 (SE 4.14) + 0.0079 (SE 0.0025) RUPI (R2 = 0.98). The mean increase in milk production was 0.8 kg/d for each 100 g/d of RUP but widely variable responses and potential cost differences in rations may limit applicability.
Forage Supplementation
Corn silage supplementation.
The summary of corn silage supplementation on animal performance of high producing cows on pasture is shown in Table 7
. In one of the studies (Stockdale, 1994), cows were supplemented only with corn silage; while in the other studies, cows were supplemented with corn silage plus low (3.2 kg/d; Valk, 1994) or high (8.7 kg/d; Holden et al., 1995) amounts of concentrates. Two of those studies were grazing studies (Stockdale, 1994; Holden et al., 1995), and one study was in confinement (Valk, 1994). Response to corn silage supplementation depends on the amount of pasture offered, which determines the SR and total DMI (Phillips, 1988). Corn silage supplementation had positive effects on production when the amount of pasture offered was low (Stockdale, 1994). When PA was high, the supplementation with 2.3 kg DM/d of corn silage reduced pasture DMI and resulted in a similar total DMI and similar milk production (Holden et al., 1995). Valk (1994) conducted two experiments in confinement with high producing dairy cows fed fresh-cut forage and supplemented with corn silage at different times of the day or mixed with the pasture. Corn silage fed at night did not increase total DMI nor milk production compared with diets containing only fresh-cut forage (Valk, 1994). However, when corn silage was mixed with the fresh-cut forage, both total DMI and milk production increased (Valk, 1994).
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Accounting for the study random effect (St-Pierre, 2001), a negative relationship was found between MPi (kg/d) and SR (kg pasture/kg corn silage) from the data presented in Table 7
: MPi = 4.82 (SE 0.58) - 4.37 (SE 0.83) SR (R2 = 0.87). As reviewed above, corn silage supplementation may improve milk production of high producing dairy cows depending on the PA. In an extensive review, Phillips (1988) concluded that corn silage supplementation may increase milk production if pasture offered is restricted (i.e., low PA, low SR) but if pasture is offered ad libitum (i.e., high PA, high SR) milk production does not change or could decrease.
Hay supplementation.
Studies on hay supplementation to high producing dairy cows on pasture are shown in Table 7
. Four of those were conducted with cows in early lactation supplemented also with high (>8 kg DM/d; Rearte et al., 1986a, 1986b; Reis and Combs, 2000) or low (<8 kg DM/d, Wales et al., 2001) amounts of concentrate, and only one (Stockdale, 1999b) with cows receiving hay as the only supplement. Hay was supplemented in different forms including long hay (Rearte et al., 1986a; Reis and Combs, 2000a), chopped hay added to the concentrate (Rearte et al., 1986a), or pellets and cubes of hay (Wales et al., 2001). Amount of hay supplemented varied from 0.9 (Rearte et al., 1986a) to 3.9 kg DM/d (Stockdale, 1999b).
Different forms and amounts of hay supplementation reduced pasture DMI, with an overall reduction averaging 3.5 kg/d (range: 0.8 to 5.6 kg/d). The effect on total DMI depended on the SR. In the study of Reis and Combs (2000a), hay supplementation resulted in a SR from 0.81 to 0.97 kg pasture/kg hay, which resulted in similar total DMI. In contrast, in the study of Stockdale (1999b), hay supplementation determined a SR of 0.33 kg pasture/kg hay and increased total DMI. Rearte et al. (1986b) reported no effect of hay supplementation on pasture or total DMI. Hay supplemented in a pellet or a cube form, either alone or added to the concentrate, decreased pasture DMI compared with a pasture-only diet treatment (Wales et al., 2001).
Three studies with early lactation cows (Rearte et al., 1986b; Reis and Combs, 2000a; Wales et al., 2001) reported no response in milk production to hay supplementation, while one (Rearte et al., 1986a) found higher milk production when long hay was supplemented, but similar milk production when the hay was chopped and added to the concentrate. Stockdale (1999b) also reported higher milk production when cows were supplemented with hay compared with cows fed pasture-only diets. Most of the studies (Rearte et al., 1986b; Stockdale, 1999b; Reis and Combs, 2000a; Wales et al., 2001) found no effect of hay supplementation on milk fat percentage, except for Rearte et al. (1986a), who reported lower milk fat content with long hay supplementation. None of the studies (Rearte et al., 1986a, 1986b; Stockdale, 1999b; Reis and Combs, 2000a; Wales et al., 2001) reported changes in milk protein percentage with hay supplementation.
Hay supplementation to grazing dairy cows raises the question about the fiber requirements of high producing dairy cows on pasture. Recent recommendations by NRC (2001) for dairy cows suggested a minimum of 25% NDF and 19% NDF from forages for the following specific conditions: forage with adequate particle size, dry corn as the predominant starch source, and diets fed as TMR. When concentrates are fed twice daily and separately from forage, NDF minimum requirements are unknown but probably higher than 25% (NRC, 2001). The NRC (2001) concluded that because of lack of data, specific recommendations for NDF for grazing dairy cows are not known. In agreement with that, the number of studies presented in Table 7
is not large enough to make specific recommendation for NDF requirements for grazing dairy cows. Total diet NDF content in those studies varied from 24.6 to 51.1%. In the study of Reis and Combs (2000a), the total diet NDF content averaged 24.8%, which is similar to the minimum recommendations of NRC (2001) without affecting milk fat percentage. Supplementation with 3.2 kg DM/d of long alfalfa hay did not increase NDF intake because of the high SR (0.89 kg pasture/kg hay) and the similar NDF content between the pasture (35.8%) and the hay (36.1%; Reis and Combs, 2000a). Supplementation with 2.3 kg DM/d of hay as a pellet or as a cube did not affect either the total NDF intake or the milk fat content (Wales et al., 2001). None of the studies reviewed reported information on the content of effective fiber in the diets. Using the CNCPS ruminal pH equation and a database from 23 pasture studies, Kolver and deVeth (2002) estimated that the effective fiber was 29% when ruminal pH was between 5.8 and 6.0 and 78% when ruminal pH was between 6.6 and 6.8, with an overall average of 43%. More information in minimum requirements of NDF and effective fiber is needed for high producing dairy cows on pasture supplemented twice daily.
Fat Supplementation
Research on the effect of fat supplementation on DMI and milk production and composition of high producing dairy cows on pasture is presented in Table 8
. Some of the studies supplemented cows with concentrates with fat sources that partially replaced some of the concentrate ingredients (Garnsworthy, 1990; Gallardo et al., 2001) or were added to a basal amount of concentrate (King et al., 1990; Agenäs et al., 2002; Schroeder et al., 2002). Sources of fat included ruminally inert sources such as hydrogenated fish fat (Gallardo et al., 2001), Ca-salts of long-chain fatty acids (Garnsworthy, 1990), high melting point fatty acids (King et al., 1990; Schroeder et al., 2002); or nonruminally inert sources such as full fat rapeseed (Murphy et al., 1995), and soybean oil (Agenäs et al., 2002). The amount of fat supplemented ranged from 200 (Gallardo et al., 2001) to 1000 g/d (Schroeder et al., 2002).
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The effect of fat supplementation on milk production is not consistent, with some studies showing no effect (Garnsworthy, 1990; King et al., 1990; Agenäs et al., 2002) and some studies showing positive effect (Murphy et al., 1995; Gallardo et al., 2001; Schroeder et al., 2002). The addition of a ruminally inert fat source (Ca-salts of long chain fatty acids) to starch or fiber-based concentrates did not improve milk production (Garnsworthy, 1990). Likewise, no milk production response was found when a fat source of high melting point was added as 15% (as fed) of a basal amount of barley concentrate (King et al., 1990). Agenäs et al. (2002) reported no effect of adding soybean oil to the diet of grazing cows supplemented with 6.5 kg DM/d of concentrate and 0.8 kg DM/d of hay. Milk production was increased by partially replacing corn by hydrogenated fish fat in a concentrate supplemented at a rate lower than 4 kg DM/d (Gallardo et al., 2001). Compared with cows fed pasture-only diets, supplementation with 3 kg DM/d of full fat rapeseed increased milk production (Murphy et al., 1995). Schroeder et al. (2002) reported higher FCM when 1 kg/d of fat plus 5.2 kg DM/d of a corn-based concentrate were supplemented.
Four of the six studies (Garnsworthy, 1990; King et al., 1990; Schroeder et al., 2002) reported that milk fat percent increased with saturated fat supplements. In two experiments by Garnsworthy (1990), the inclusion of ruminally inert fat in starch or fiber-based concentrates increased milk fat content. The highest fat percentage was obtained with the fiber-based concentrate with fat, suggesting that fiber and ruminally inert fat may have an additive effect (Garnsworthy, 1990). Milk fat percentage was higher when 0.5 kg/d of fat was added to 3.3 kg DM/d of barley (King et al., 1990). Schroeder et al. (2002) also reported an increase in milk fat content with 1 kg/d of fat compared with a basal concentrate without fat or 0.5 kg/d of fat. Overall, milk fat percentage increased 0.43 percentage units (range: 0.34 to 0.55 percentage units) or 13% (range: 10 to 17%) in those studies. Gallardo et al. (2001) reported no changes in milk fat content with fat supplementation. Supplementation with fat sources rich in unsaturated fatty acids such as soybean oil (Agenäs et al., 2002) or full-fat rapeseed (Murphy et al., 1995), however, resulted in reductions of milk fat content. Most of the studies (Garnsworthy, 1990; King et al., 1990; Murphy et al., 1995; Gallardo et al., 2001; Agenäs et al., 2002; Schroeder et al., 2002) reported no changes in milk protein percentage with fat supplementation. In only one of the two experiments of Garnsworthy (1990), milk protein content was reduced when ruminally inert fat was added to a fiber-based concentrate.
Overall, fat supplementation did not affect total DMI (-0.3 kg/d, SE 1.3 kg/d, range: -0.8 to 10.6 kg/d; Students t-test, significantly different from zero, P = 0.83), increased milk production 1.43 kg/d (SE 0.37 kg/d, range: -0.60 to 2.70 kg/d; Students t-test, significantly different from zero, P < 0.01) or 6%, increased fat yield 0.063 kg/d (SE 0.023 kg/d, range: -0.06 to 0.16 kg/d; Students t-test, significantly different from zero, P < 0.02), and increased protein yield 0.035 kg/d (SE 0.035 kg/d, range: -0.07 to 0.10 kg/d; Students t-test, significantly different from zero, P < 0.05) compared with the no-fat treatments. Neither fat (0.025 percentage units, SE 0.149 percentage units, range: -0.95 to 0.55 percentage units; Students t-test, significantly different from zero, P = 0.87) nor protein (-0.019 percentage units, SE 0.034 percentage units, range: -0.18 to 0.15 percentage units; Students t-test, significantly different from zero, P = 0.59) percentages were affected by fat supplementation. However, caution should be used in this conclusion because of the low number of studies with cows producing less than 30 kg/d.
| RUMINAL DIGESTION AND FERMENTATION ON GRAZING COWS |
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Effect of Supplementation on Ruminal Fermentation
Level of concentrate supplementation.
Studies that have reported ruminal fermentation data of dairy cows on pasture supplemented with different amounts of energy supplements are summarized in Table 10
. Supplementation amounts ranged from 0 to 10 kg DM/cow per day including corn-based concentrates (Berzaghi et al., 1996; Jones-Endsley et al., 1997; Bargo et al., 2002a), corn flour and dextrose monohydrate (Carruthers and Neil, 1997; Carruthers et al., 1997), grains as barley or corn (García et al., 2000; Reis and Combs, 2000b), or concentrates based on starch and fiber sources (Van Vuuren et al., 1986; Sayers, 1999; Khalili and Sairanen, 2000).
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The lack of consistency with the amount of concentrate supplementation on ruminal pH of dairy cows on pasture suggests that there is not a simple relationship between amount of concentrate supplemented and ruminal pH. Kolver and deVeth (2002) concluded that no single dietary variable or group of variables could be used to reliably predict ruminal pH. The interaction between the amount and type of concentrate supplemented and pasture DMI and quality (e.g., stage of maturity, NDF content) may have a key role. However, when dividing the studies into those using high (<50% NDF; Carruthers and Neil, 1997; Carruthers et al., 1997; García et al., 2000; Jones-Endsley et al., 1997; Reis and Combs, 2000b; Van Vuuren et al., 1986) or medium (>50% NDF; Berzaghi et al., 1996; Sayers, 1999; Khalili and Sairanen, 2000; Bargo et al., 2002a) quality pastures, no consistent pattern was found. The timing of rumen sample collection in relation to feeding could be also affecting these results. The studies reviewed measured ruminal pH 6 times every 4 h for a 24-h period (García et al., 2000; Bargo et al., 2002a) or from 2000 to 1600 h (Van Vuuren et al., 1986); 1 time at 0500 h (Berzaghi et al., 1996); 4 times at 0800, 1200, 1600, and 2000 h (Carruthers and Neil, 1997; Carruthers et al., 1997); 4 times at 2, 4, 6, and 8 h after feeding (Jones-Endsley et al., 1997); eight times every 1.5 to 3 h from 0700 to 2200 h (Khalili and Sairanen, 2000); or every 2 to 3 h from 0500 to 2100 h (Sayers, 1999); and 10 times every 1 to 3 h starting before the morning concentrate feeding (Reis and Combs, 2000b).
Reductions in ruminal pH with supplementation were associated with higher total VFA concentrations in some studies (Sayers, 1999; Bargo et al., 2002a). However, most of the studies reported no effect of supplementation on total VFA concentration (Van Vuuren et al., 1986; Berzaghi et al., 1996; Jones-Endsley et al., 1997; Sayers, 1999; García et al., 2000; Khalili and Sairanen, 2000; Reis and Combs, 2000b), even with reductions in ruminal pH (Carruthers and Neil, 1997; Carruthers et al., 1997). Kolver and deVeth (2002) reported a negative relationship between ruminal pH and total VFA concentration based on 86 treatments from a database from 23 pasture-based studies, but the R2 value was 0.30. Concentrate supplements reduced molar proportion of acetate and increased the molar proportion of propionate in some studies (Sayers, 1999; García et al., 2000; Bargo et al., 2002a). Some of the studies reported only a reduction in the acetate molar proportion (Khalili and Sairanen, 2000) or an increase in the propionate molar proportion (Jones-Endsley et al., 1997).
The most consistent effect of concentrate supplementation on ruminal fermentation is a reduction in ruminal NH3-N concentration. Over the 10 studies summarized in Table 10
, ruminal NH3-N concentration was significantly reduced by supplementation in six (Van Vuuren et al., 1986; Carruthers and Neil, 1997; Carruthers et al., 1997; García et al., 2000; Reis and Combs, 2000b; Bargo et al., 2002a) and numerically in three (Berzaghi et al., 1996; Jones-Endsley et al., 1997; Sayers, 1999). Ruminal NH3-N concentration reduction could be associated with a higher capture of NH3-N from the highly ruminally degradable CP of pasture (Van Vuuren et al., 1986; Jones-Endsley et al., 1997; Sayers, 1999; Bargo et al., 2002a; Reis and Combs, 2000b), but also to a reduction in total CP intake because energy supplements are usually lower in CP than pasture (Berzaghi et al., 1996; Carruthers and Neil, 1997; Carruthers et al., 1997; García et al., 2000).
Overall, unsupplemented treatments (<1 kg DM/d) averaged a ruminal pH of 6.27 (range: 6 to 6.57), a NH3-N concentration of 24.7 mg/dl (range: 12.8 to 39.1 mg/dl), and a total VFA concentration of 125.2 mmol/L (range: 96.7 to 150 mmol/L); and supplemented treatments (1.1 to 10 kg DM/d) averaged a ruminal pH of 6.10 (range: 5.75 to 6.29), an NH3-N concentration of 18.3 (range: 8.7 to 32.2 mg/dl), and a total VFA concentration of 120.9 mmol/L (range: 90.3 to 151.4 mmol/L). Comparing the unsupplemented treatments with the supplemented treatments using a Students t-test, supplementation reduced ruminal pH 0.08 (SE 0.03; significantly different from zero, P < 0.01), reduced NH3-N concentration 6.59 mg/dl (SE 1.16 mg/dl; significantly different from zero, P < 0.01), and increased total VFA concentration 1.95 mmol/L (SE 1.20 mmol/L; nonsignificantly different from zero, P > 0.13).
Type of energy supplementation.
The effect of type of energy supplementation on ruminal fermentation of dairy cows on pasture is summarized in Table 11
. Some studies compared starch vs. fiber-based concentrates with starch sources including corn and tapioca (Van Vuuren et al., 1986), barley, wheat, and corn (Sayers, 1999), and barley and oats (Khalili and Sairanen, 2000), and fiber sources including beet pulp (Van Vuuren et al., 1986; Khalili and Sairanen, 2000) and beet pulp plus citrus pulp (Sayers, 1999). Compared with starch-based concentrates, supplementation with fiber-based concentrates did not affect ruminal pH of dairy cows consuming moderate (approximately 5 kg DM/d; Van Vuuren et al., 1986; Khalili and Sairanen, 2000) or high (approximately 10 kg DM/d, Sayers, 1999) amounts of concentrate. No changes in ruminal NH3-N concentration were reported by Van Vuuren et al. (1986) and Sayers (1999), whereas Khalili and Sairanen (2000) showed a reduction in this variable with the fiber-based concentrate. None of the three studies reported differences in total VFA concentrations, but Sayers (1999) found that supplementation with fiber-based concentrates increased the molar proportion of acetate and butyrate, and decreased the molar proportion of propionate. Khalili and Sairanen (2000) reported no changes in the molar proportion of any of the three major VFA.
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Overall, when dry corn were replaced by processed corn (Bargo et al., 1998; Reis and Combs, 2000a; Soriano et al., 2000; Alvarez et al., 2001), by higher ruminally degradable grain such as barley (García et al., 2000), or starch-based concentrates by fiber-based concentrates (Van Vuuren et al., 1986; Sayers, 1999; Khalili and Sairanen, 2000) neither ruminal pH (-0.007, SE 0.04, range: -0.16 to 0.16; Students t-test, significantly different from zero; P = 0.87) nor total VFA concentration (-0.47 mmol/L, SE 1.74 mmol/L, range: -7.0 to 5.0; Students t-test, significantly different from zero; P = 0.79) were affected, but NH3-N concentration was reduced 4.36 mg/dl (SE 1.37 mg/dl; Students t-test, significantly different from zero; P < 0.01).
Protein supplementation.
The effect of protein supplementation on the ruminal fermentation of dairy cows on pasture is presented in Table 12
. Most of the studies (Sayers, 1999; Bargo et al., 2001; McCormick et al., 2001b; Schor and Gagliostro, 2001) reported no differences in ruminal pH or total VFA concentration when the content of CP in the concentrate was increased in supplemented dairy cows. Compared with pasture-only diets, supplementation with 2 kg DM/d of soybean meal reduced ruminal pH of dairy cows grazing a ryegrass fertilized with 0 or 60 kg of N/ha, which was associated with an increase in total VFA concentration (Delagarde et al., 1997).
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Forage supplementation.
Two studies evaluated the effect of forage supplements such as corn silage (Elizalde et al., 1992) or hay (Reis and Combs, 2000a) on ruminal fermentation of dairy cows on pasture. Supplementation with 5 kg DM/d of corn silage to dairy cows grazing a winter oats pasture increased ruminal pH, but did not affect NH3-N concentration in the rumen (Elizalde et al., 1992). Ruminal pH, NH3-N, and total VFA concentration were not affected when high producing dairy cows grazing a grass-legume pasture were supplemented with 3.2 kg DM/d of long alfalfa hay plus 9 kg of DM/d dry ground or steam-rolled corn (Reis and Combs, 2000a).
| PASTURE IN SITU DIGESTION |
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López et al. (1999) compared different mathematical models to analyze in situ data. For DM and CP most of the studies used a first-order model (Ørskov and MacDonald, 1979) with a soluble fraction (a) and an insoluble potentially degradable fraction (b) degraded at a constant rate (c) that describe the potentially degradable fraction (PD): PD = a + b (1 - e-c t), where t refers to time. The effective degradability (ED) of DM and CP was generally estimated using the following equation: ED = a + b (c / (c + kp)), where kp corresponds to rate of passage assumed (6 %/h). In some cases for DM and in most cases for NDF, the models included a lag time.
Effect of Species and Maturity, and N Fertilization on In Situ Pasture Digestion
Studies that have evaluated the in situ DM, CP, and NDF digestion of pasture are shown in Table 13
. Two studies (Hoffman et al., 1993; Elizalde et al., 1999) evaluated ruminal DM, CP, and NDF degradability of different species commonly used for dairy cows at different stages of maturity. Hoffman et al. (1993) compared in situ degradation of alfalfa, birdsfoot trefoil, red clover at late vegetative, late bud, and midbloom, and bromegrass, orchardgrass, ryegrass, timothy, and quackgrass at second node, boot, and full inflorescence. The CP content decreased, and NDF content increased with maturity, but those changes were larger in the grasses (24.4 to 10.6% CP, 41.5 to 67.2% NDF) than in the legumes (26.9 to 15.7% CP, 26.5 to 47.3% NDF). Legumes tended to have a larger ED of DM than grasses at all maturity stages, except that the ED of DM of ryegrass was similar to that of legumes at all stages of maturity. With maturity, rate of degradation of DM decreased from 20 to 13%/h for the legumes, and from 11 to 2%/h for the grasses. Effective degradability of CP of legumes did not differ among species. Among grasses, ryegrass had the highest values of ED of CP. With maturity, CP rate of degradation decreased from 40 to 7%/h for the legumes, and from 26 to 3 %/h for the grasses. For NDF degradation, legumes generally were lower in degraded NDF than grasses with ryegrass having the highest ruminally degraded NDF of all species at all stages of maturity. With maturity, rate of degradation of NDF decreased from 15 to 3%/h for the legumes, and from 9 to 2%/h for the grasses (Hoffman et al., 1993).
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Two studies evaluated the effect of N fertilization (275 vs. 500 kg/ha; Van Vuuren et al., 1992) and season (June, July, August, and September; Van Vuuren et al., 1993) on in situ ryegrass degradation. For DM, soluble fraction was not affected by N fertilization, while the insoluble potentially degradable fraction increased with fertilization during the summer, but decreased during the fall (Van Vuuren et al., 1992). Rate of DM degradation was increased with fertilization amount during the fall (4.7 vs. 6.8%/h). For CP, soluble fraction was not affected by fertilization or season, while insoluble potentially degradation fraction decreased with fertilization during the summer and the fall (Van Vuuren et al., 1992). Rate of degradation of CP was increased with fertilization during the fall (6.4 vs. 9.1%/h). For NDF, fertilization amount increased rate of degradation (4.2 vs. 6.6%/h; Van Vuuren et al., 1992). Soluble fraction of DM and CP were not affected by season (Van Vuuren et al., 1993). Insoluble potentially degradable fraction and rate of degradation of DM and CP were lower during July and August and higher during June and September. For NDF, insoluble potentially degradable fraction and rate of degradation (4.7%/h) did not differ with season (Van Vuuren et al., 1993).
Effect of Supplementation on In Situ Pasture Digestion
Several studies have evaluated the effect of supplementation on in situ degradation of pasture (Table 14
). In four of seven studies, dairy cows were supplemented with energy supplements such as corn-based concentrates (Sayers, 1999; Reis and Combs, 2000a, 2000b; Bargo et al., 2002a), steam-rolled corn (Reis and Combs, 2000a), and fiber-based concentrates (Sayers, 1999). Amount of supplements range from 0 to 10 kg DM/d, with two studies (Reis and Combs, 2000b; Bargo et al., 2002a) including pasture-only diet treatments. In two of seven studies, dairy cows were supplemented with concentrates that differed in content and source of CP (Bargo et al., 2001) or with different amounts of concentrates that differed in CP content (Sayers, 1999), including a pasture-only diet. One study (Elizalde et al., 1992) supplemented dairy cows with corn silage.
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Compared with pasture-only diets, supplementation with 2.6 or 5.2 kg DM/d of concentrate of 10 or 34% CP did not affect soluble, insoluble potentially degradable fractions, or rate of degradation of pasture DM (Sayers, 1999). Pasture CP degradation was not affected by supplementation either (Sayers, 1999). Increasing the CP content from 15 to 23% or replacing a RDP source (sunflower meal) by a RUP source (feather meal) in the concentrate did not affect soluble fraction, insoluble potentially degradable fraction, rate of degradation, or effective degradability of DM, CP, or NDF of winter oats (Bargo et al., 2001). Supplementation with 5 kg DM/d of corn silage did not affect winter oats pasture CP degradation, but increased the lag time of NDF pasture degradation from 1.4 to 5.8 h (Elizalde et al., 1992).
In conclusion, supplementation including corn-based concentrates (Sayers, 1999; Reis and Combs, 2000a, 2000b; Bargo et al., 2002a), fiber-based concentrates (Sayers, 1999), concentrates different CP content (Sayers, 1999; Bargo et al., 2001), or corn silage (Elizalde et al., 1992) did not affect in situ ruminal digestion of pasture. Only when large amounts of corn-based concentrates (>8 kg DM/d) were supplemented, degradation rate of pasture was reduced (Reis and Combs, 2000a; Bargo et al., 2002a).
| POSTRUMINAL DIGESTION OF GRAZING DAIRY COWS |
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To compare the different studies, we selected common measures to express OM, NDF, and N digestion. Digestion of OM was expressed as total tract apparent digestibility (TTAD, %), ruminal apparent digestibility as proportion of OM intake (RAD, % OMI), and ruminal apparent digestibility as proportion of total OM digested (RADD, % OMD). Digestion of NDF was expressed as TTAD (%) and ruminal apparent digestibility as proportion of total NDF digested (RADD, % NDFD). Digestion of N was expressed as flows of NAN (g/d, % N intake), nonammonia nonmicrobial nitrogen (NANMN, g/d, % N intake), and microbial N (MN, g/d).
Postruminal Digestion of Dairy Cows on Pasture-Only Diets
Studies that reported OM, NDF, and N site of digestion of dairy cows on pasture-only diets are presented in Table 15
. Holden et al. (1994) compared N digestion of nonlactating dairy cows grazing orchardgrass or fed orchardgrass as hay or silage. Intake of N and flow of total N, NAN, and MN were not affected by the form of orchardgrass. Total N flow (NAN plus NH3-N flow), as percentage of total N intake, averaged 63, 81, and 75% for cows grazing, fed hay, and fed silage, respectively, indicating higher N losses in the rumen of grazing cows (Holden et al., 1994).
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Two studies (Van Vuuren et al., 1992; Peyraud et al., 1997) compared nutrient digestion of ryegrass pasture fertilized with N. Fertilization increased CP content of pasture from 10.6 to 15.0% when fertilization was increased from 0 to 80 kg N/ha (Peyraud et al., 1997), and from 17.1 to 20.4% when fertilization was increased from 275 to 500 kg N/ha (Van Vuuren et al., 1992). Organic matter intake was not affected by fertilization in two of three experiments (Peyraud et al., 1997; Van Vuuren et al., 1992), but increased OM intake in one experiment (Van Vuuren et al., 1992). Fertilization increased TTAD of OM in the study of Peyraud et al. (1997), while RADD was not affected in either of the two studies (Van Vuuren et al., 1992; Peyraud et al., 1997). In the study of Peyraud et al. (1997), fertilization did not affect total NDF intake but increased TTAD of NDF. On the other hand, Van Vuuren et al. (1992) reported an increased intake of NDF in one experiment but not in other, without changes in TTAD with fertilization. Both studies reported close to 100% RADD of NDF regardless of the fertilization amount (Van Vuuren et al., 1992; Peyraud et al., 1997). Fertilization increased N intake by 40% in both studies (Van Vuuren et al., 1992; Peyraud et al., 1997), which increased the flow of NAN in one study (Peyraud et al., 1997) but not in the other (Van Vuuren et al., 1992). When expressed as a percentage of N intake, NAN was reduced by fertilization in both studies (Van Vuuren et al., 1992; Peyraud et al., 1997), indicating higher losses as NH3-N with fertilization. Flow of MN showed inconsistent results with increased flow at the higher fertilization amount (Van Vuuren et al., 1992) or no changes (Peyraud et al., 1997).
Effect of Supplementation on Postruminal Digestion of Dairy Cows on Pasture
The effects of supplementation on OM, NDF, and N site of digestion of dairy cows on pasture are summarized in Table 16
. Four studies evaluated the effect of energy supplementation with corn (Berzaghi et al, 1996; García et al., 2000), barley (García et al., 2000), beet pulp (OMara et al., 1997), and starch or fiber-based concentrates (Van Vuuren et al., 1993). Two studies evaluated protein supplementation such as 2 kg DM/d of soybean meal compared with pasture-only diets (Delagarde et al., 1997) or CP content (12 vs. 16%) in the concentrate supplemented at 6.4 or 9.6 kg DM/d (Jones-Endsley et al., 1997).
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Energy supplementation reduced intake of NDF in some studies (Van Vuuren et al., 1993; García et al., 2000) but did not in another (Berzaghi et al., 1996). Compared to pasture-only diets, supplementation with cracked corn (Berzaghi et al., 1996), a high degradable grain as barley (García et al., 2000), or a starch-based concentrate (Van Vuuren et al., 1993) reduced TTAD of NDF. Supplementation with a slowly degradable grain as corn (García et al., 2000) or a fiber-based concentrate (Van Vuuren et al., 1993) did not affect TTAD of NDF compared with pasture-only diets. Increasing the amount of concentrate from 5.6 to 8.4 kg DM/d increased TTAD of NDF (Jones-Endsley et al., 1997). Supplementation with a starch-based concentrate did not affect RADD of NDF in two studies (Berzaghi et al., 1996; García et al., 2000), but reduced it in another (Van Vuuren et al., 1993).
Intake of N was reduced in most of the studies by supplementation (Van Vuuren et al., 1993; Berzaghi et al., 1996; García et al., 2000) but without affecting the flows of NAN, NANMN, or MN. Supplementation increased numerically (Van Vuuren et al., 1993; Berzaghi et al., 1996) or significantly (García et al., 2000) the NAN as percentage of N intake, which indicates lower losses of NH3-N. Pasture showed high degradability in the rumen (>65%) (Berzaghi et al., 1996; OMara et al., 1997; García et al., 2000). Total OM intake and TTAD of OM were increased with 2 kg DM/d of soybean meal supplementation (Delagarde et al., 1997) and by increasing the CP content of concentrate from 12 to 16% CP (Jones-Endsley et al., 1997). Intake of NDF and TTAD of NDF was increased as the content of CP increased in the concentrate (Jones-Endsley et al., 1997). Protein supplementation increased N intake and flows of NAN (Delagarde et al., 1997; Jones-Endsley et al., 1997) and NANMN (Jones-Endsley et al., 1997), but did not affect flow of MN (Jones-Endsley et al., 1997).
In conclusion, supplementation with energy concentrates (Van Vuuren et al., 1993; Berzaghi et al., 1996; OMara et al., 1997; Garcia et al., 2000) reported similar TTAD of OM with reductions in TTAD of NDF if some cases (Van Vuuren et al., 1993; Berzaghi et al., 1996). Intake of N was reduced by supplementation because of the SR close to 1 kg/kg but did not affect flows of NAN, NANMN, or MN (Van Vuuren et al., 1993; Berzaghi et al., 1996; OMara et al., 1997; García et al., 2000). Protein supplementation increased TTAD of OM (Delagarde et al., 1997; Jones-Endsley et al., 1997) and NDF (Jones-Endsley et al., 1997). Protein supplementation also increased N intake and flows of NAN and NANMN without affecting MN (Delagarde et al., 1997; Jones-Endsley et al., 1997).
| CONCLUSIONS |
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Compared with pasture-only diets, increasing the amount of concentrate in the diet reduced ruminal pH 0.08 and NH3-N concentration 6.59 mg/dl. The use of high moisture corn, steam-flaked or steam-rolled corn, barley, or fiber-based concentrates instead of dry corn did not affect ruminal pH or total VFA concentration, but reduced NH3-N concentration 4.36 mg/dl. Most of the studies showed that supplementation did not affect in situ pasture digestion, except for a reduction in rate of degradation when large amounts of concentrate were supplemented. Supplementation with energy concentrates did not affect digestibility of OM but reduced digestibility of NDF and intake of N without affecting the flows of NAN, NANMN, and microbial N. Protein supplementation increased digestibility of OM and NDF, and N intake and flows of NAN and NANMN without affecting the flow of microbial N.
| ACKNOWLEDGEMENTS |
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| FOOTNOTES |
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Received for publication April 5, 2002. Accepted for publication July 3, 2002.
| REFERENCES |
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A. M. Gehman, J. A. Bertrand, T. C. Jenkins, and B. W. Pinkerton The effect of carbohydrate source on nitrogen capture in dairy cows on pasture. J Dairy Sci, July 1, 2006; 89(7): 2659 - 2667. [Abstract] [Full Text] [PDF] |
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D. K. Lovett, L. J. Stack, S. Lovell, J. Callan, B. Flynn, M. Hawkins, and F. P. O'Mara Manipulating Enteric Methane Emissions and Animal Performance of Late-Lactation Dairy Cows Through Concentrate Supplementation at Pasture J Dairy Sci, August 1, 2005; 88(8): 2836 - 2842. [Abstract] [Full Text] [PDF] |
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B. R. Min, S. P. Hart, T. Sahlu, and L. D. Satter The Effect of Diets on Milk Production and Composition, and on Lactation Curves in Pastured Dairy Goats J Dairy Sci, July 1, 2005; 88(7): 2604 - 2615. [Abstract] [Full Text] [PDF] |
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M. P. L. Calus, J. J. Windig, and R. F. Veerkamp Associations Among Descriptors of Herd Management and Phenotypic and Genetic Levels of Health and Fertility J Dairy Sci, June 1, 2005; 88(6): 2178 - 2189. [Abstract] [Full Text] [PDF] |
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A. Sairanen, H. Khalili, J. I. Nousiainen, S. Ahvenjarvi, and P. Huhtanen The Effect of Concentrate Supplementation on Nutrient Flow to the Omasum in Dairy Cows Receiving Freshly Cut Grass J Dairy Sci, April 1, 2005; 88(4): 1443 - 1453. [Abstract] [Full Text] [PDF] |
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M. P. L. Calus, M. J. Carrick, R. F. Veerkamp, and M. E. Goddard Estimation of Genetic Parameters for Milk Fat Depression in Dairy Cattle J Dairy Sci, March 1, 2005; 88(3): 1166 - 1177. [Abstract] [Full Text] [PDF] |
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M. R. Gallardo, A. R. Castillo, F. Bargo, A. A. Abdala, M. G. Maciel, H. Perez-Monti, H. C. Castro, and M. E. Castelli Monensin for Lactating Dairy Cows Grazing Mixed-Alfalfa Pasture and Supplemented with Partial Mixed Ration J Dairy Sci, February 1, 2005; 88(2): 644 - 652. [Abstract] [Full Text] [PDF] |
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C. M. Graf, M. Kreuzer, and F. Dohme Effects of Supplemental Hay and Corn Silage Versus Full-Time Grazing on Ruminal pH and Chewing Activity of Dairy Cows J Dairy Sci, February 1, 2005; 88(2): 711 - 725. [Abstract] [Full Text] [PDF] |
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F. Bargo and L. D. Muller Grazing Behavior Affects Daily Ruminal pH and NH3 Oscillations of Dairy Cows on Pasture J Dairy Sci, January 1, 2005; 88(1): 303 - 309. [Abstract] [Full Text] [PDF] |
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F. J. Mulligan, P. Dillon, J. J. Callan, M. Rath, and F. P. O'Mara Supplementary Concentrate Type Affects Nitrogen Excretion of Grazing Dairy Cows J Dairy Sci, October 1, 2004; 87(10): 3451 - 3460. [Abstract] [Full Text] [PDF] |
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P. R. Tozer, F. Bargo, and L. D. Muller The Effect of Pasture Allowance and Supplementation on Feed Efficiency and Profitability of Dairy Systems J Dairy Sci, September 1, 2004; 87(9): 2902 - 2911. [Abstract] [Full Text] [PDF] |
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G. F. Schroeder, J. E. Delahoy, I. Vidaurreta, F. Bargo, G. A. Gagliostro, and L. D. Muller Milk Fatty Acid Composition of Cows Fed a Total Mixed Ration or Pasture Plus Concentrates Replacing Corn with Fat J Dairy Sci, October 1, 2003; 86(10): 3237 - 3248. [Abstract] [Full Text] [PDF] |
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F. Bargo, G. A. Varga, L. D. Muller, and E. S. Kolver Pasture Intake and Substitution Rate Effects on Nutrient Digestion and Nitrogen Metabolism during Continuous Culture Fermentation J Dairy Sci, April 1, 2003; 86(4): 1330 - 1340. [Abstract] [Full Text] [PDF] |
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J. E. Delahoy, L. D. Muller, F. Bargo, T. W. Cassidy, and L. A. Holden Supplemental Carbohydrate Sources for Lactating Dairy Cows on Pasture J Dairy Sci, March 1, 2003; 86(3): 906 - 915. [Abstract] [Full Text] [PDF] |
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