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1 Embrapa, Caixa Postal 569, Passo Fundo, RS 99001-970, Brazil
2 Department of Agronomy,
3 Department of Statistics, and
4 Department of Animal Sciences, University of Florida, Gainesville 32611
Corresponding author: C. R. Staples; e-mail: staples{at}animal.ufl.edu.
| ABSTRACT |
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Key Words: forages grazing management system milk yield
Abbreviation key: EXPD = expected digestibility, FO = fecal output, IVOMD = in vitro organic matter digestibility, OMI = organic matter intake, PUN = plasma urea nitrogen.
| INTRODUCTION |
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Grazing lactating dairy cows on pasture is not a new feeding method. This approach has been advocated, abandoned, and now is being advanced again as an alternative feeding system, particularly in the northeastern United States. In a historical review, Hanson et al. (1998a) detailed these changes. By the late 1940s, farmers began to significantly increase their application of manufactured inputs, particularly purchased fertilizers, herbicides, and hybrid corn (Zea mays L.) seed. Between the late 1940s and 1990s, farmers achieved more than a 2-fold increase in yield of row crops such as corn and soybean (Glycine max [L.] Merr.), mainly due to new cultivars and use of purchased inputs. Advances associated with feeding technology pushed management toward feeding/finishing livestock in confinement. Within this context, the pasture was viewed as a low-yield source of supplemental forage or as an exercise lot. Muller and Holden (1994) described these changes in the Pennsylvania dairy industry, where the average number of cow days on pasture decreased from 170 in the early 1950s to 64 in 1990. The grazing system that has evolved in many areas of the United States during the 1980s and 1990s maintains an emphasis on concentrate feeding and high milk yield but with most forage coming from grazed pasture. Use of pasture-based dairy systems is challenging in Florida, however, because of the widely varying nutritive value of forage throughout the year, heat stress, and the difficulty in formulating balanced rations due to problems of quantifying forage intake on pasture.
Most research done with pasture-based systems has been short-term in nature. Longer, full-lactation comparisons of pasture and confinement systems are needed. Systems should be explored where cows freshen in fall and early winter and are assigned to high quality cool-season pasture for the first 4 mo or more of their lactation, thus matching periods of peak milk yield with cooler temperatures and higher quality forage. This experiment was conducted to compare pasture-based and confinement systems for Holstein cows milking from January to October.
| MATERIALS AND METHODS |
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The 3 treatments were 2 pasture systems and a traditional free-stall housing management system. Pasture system 1 was designed to use the highest quality annual forages for grazing that are available in the region. Pasture system 2 was intended to reflect less intensive management, utilizing a perennial grass for warm-season grazing and annual grasses for the cool season. Concurrently, Holstein cows were managed in sand-bedded free-stall housing at the university farm as system 3.
System 1 was based on a mixture of Grazemaster rye (Secale cereale L.), Surrey annual ryegrass (Lolium multiflorum Lam.), Flame crimson clover (Trifolium incarnatum L.), and Cherokee red clover (Trifolium pratense L.) grazed during the winter-spring season and Tifleaf 2 pearl millet (Pennisetum glaucum [L.] R.Br.) grazed during the summer-fall season. System 2 used rye-ryegrass mixtures (no clover) during winter-spring and Tifton 85 bermudagrass (Cynodon spp.) during summer-fall. The cool-season annual forages were planted on 23 October, by sod seeding one replicate over bermudagrass, and 3 replicates over Florigraze rhizoma peanut (Arachis glabrata Benth.) pastures without use of herbicide. The seeding rates for system 1 were 68 kg/ha for rye, 11.4 kg/ha for ryegrass, 10 kg/ha for crimson clover, and 6 kg/ha for red clover. The clovers were inoculated with Rhizobium trifollii. The seeding rates for system 2 were 91 kg/ha for rye and 17 kg/ha for ryegrass. Irrigation was used as needed to ensure good stand establishment.
For the warm weather period of system 1, pearl millet was seeded on 20 May at 25 kg/ha. Before planting, the area was sprayed using 5.0 L/ha of Roundup (Monsanto Co., St. Louis, MO; Glyphosate, N-phosphonomethyl glycine in the form of its isopropylamine salt, 1%) to kill common bermudagrass (Cynodon dactylon [L.] Pers.). Selection of Tifleaf 2 was based upon 2 yr of experiments that compared a group of pearl millet and sorghum-sudangrass cultivars under frequent defoliation (Fontaneli et al., 2001). Irrigation was used as needed and grazing was begun on 16 June when pearl millet reached a height of 40 cm. For system 2, well-established stands of the summer perennial Tifton 85 bermudagrass were available for grazing when growth began in late spring. Cows transitioned from winter to summer pastures in early June and grazed summer pastures until early October.
Pasture fertilization was guided by soil tests, previous experience at this location, and need for forage. The total amount applied in each system was 280-17-99 kg/ha of N-P-K, respectively, on system 1 (rye-ryegrass-clovers/pearl millet), and 360-17-99 on system 2 (rye-ryegrass/bermudagrass). An additional application of 40 kg of N/ha was made to system 2 pastures in late spring (no clover in this system) and late summer (bermudagrass production continued longer than pearl millet). Although system 1 included clover, previous experience has shown that early-season growth of rye-rye-grass-clover mixtures is slow when no N fertilizer is applied, thus a total of 120 kg of N/ha was used from 2 wk after fall planting until clovers became productive in midspring.
Both pasture systems were replicated 4 times in a randomized block design. Pasture size for each experimental unit was 1.2 ha, with 0.8 ha of this area being grazed during winter-spring and 0.4 ha being grazed during summer-fall. A total of 40 multiparous Holstein cows calving in January and February were assigned randomly at calving to the 3 treatments during about a 30-d period; 12 cows were assigned to each of the 2 pasture systems and 16 cows were assigned to serve as controls in the free-stall facility. Based on previous winter work by Macoon et al. (1997) and summer work by Fike et al. (2003), 3 multiparous Holstein cows were assigned to each replicate within each pasture system (n = 12 per pasture system) for a base stocking rate of 3.75 cows/ha during winter-spring and 7.5 cows/ha during summer-fall. The rest period between grazings for a given paddock was 28 d in winter and 21 d in summer. Target stubble heights for bermudagrass and pearl millet were 15 and 20 cm, respectively. Cows and water troughs were moved to a fresh paddock daily after the morning milking. Portable shades were provided in the summer and moved daily as well.
A concentrate supplement was fed at a rate of 1 kg (as-fed) per 2.5 kg of milk produced during winter and 1 kg (as-fed) per 2 kg of milk produced in summer. Supplement was fed in each paddock to the 3 cows as a group after each milking. Amount fed was adjusted twice weekly. During those weeks in late spring (from 26 May to 16 June) when winter forages were diminishing and summer forages were not ready to graze, cows on pasture were fed a cottonseed hull-based ration (16 kg/d per cow, DM basis) to ensure that DMI was not limiting and to manage body condition. This approach was repeated in late summer for system 1 (pearl millet) starting 6 September on 2 pasture replicates, and starting 18 September on the other 2 replicates, to the end of the experiment (7 October). During this period, the amount fed was 14.5 kg/d per cow (DM basis). From 19 February to 19 March, cows on one replicate of both pasture systems were fed 2.7 kg/d of corn silage per cow (DM basis) because excessive soil moisture on that replicate resulted in poor rye growth and low herbage mass. In addition, 3.3 kg/d of corn silage per cow (DM basis) was fed from 28 April to 18 May to cows of one replicate of system 2 (rye-ryegrass) due to a shortage of forage in that specific field. Representative samples of supplements were collected weekly, composited monthly and analyzed using wet chemistry by Dairy One (Ithaca, NY). Ingredient and chemical composition of the concentrate supplements and TMR are described in Tables 1
and 2
, respectively.
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Blood samples were collected weekly before milking during the first 11 wk postpartum and biweekly thereafter via coccygeal venipuncture with evacuated sodium heparin tubes (Vacutainer, Becton Dickinson, Franklin Lakes, NJ). Upon collection, tubes were immediately placed in an ice water bath. Within 2 h, samples were centrifuged for 15 min at 1916 x g, plasma was separated and stored at 25°C until thawed for later analyses. Blood plasma was analyzed for NEFA using the NEFA C kit (WAKO Chemicals USA, Inc., Richmond, VA). A Technicon Autoanalyzer (Technicon Instruments Corp., Chauncey, NY) was used to measure plasma glucose [a modification of Gouchman and Schmitz (1972) as described in Bran and Luebbe Industrial Method # 339-19)] and plasma urea nitrogen (PUN) [a modification of Marsh et al. (1965) as described in Bran and Luebbe Industrial Method # 339-01].
Voluntary forage intake by cows on pasture was measured once during winter (average of 81 DIM) and once during summer (average of 178 DIM) using a pulse dose technique (Pond et al., 1987, 1989a,b) with chromium-mordanted fiber as an inert marker to determine fecal output (FO). Forage of quality similar to that consumed was collected across all pastures within a treatment and composited. Forages were dried at 65°C and ground to pass a 2-mm screen using a Wiley mill. Fiber from the forage was mordanted using the methodology of Udén et al. (1980). The ground forage (~700 g) was wetted with water (1 L of H2O per 100 g of forage) plus 50 mL of liquid laundry detergent. After boiling for 2 h, the forage was washed repeatedly with tap water to remove all soap, rinsed with acetone, dried at 105°C, and weighed. The dried forage was placed in a metal container, and sodium dichromate, dissolved in 4 volumes (approximately 4 L) of water, was added to the forage. Addition of Cr (as sodium dichromate) equaled 7% of the fiber DM. This slurry was sealed with aluminum foil and heated in a forced-air drying oven at 105°C for 24 h. The liquid was then poured off and the fiber was gently rinsed with tap water to remove excess and unbound Cr. Ascorbic acid (Aldrich, Milwaukee, WI) at half the weight of dry fiber was mixed with water, added to the fiber, and allowed to stand for 1 to 1.5 h. The fiber was rinsed thoroughly with tap water and dried at 105°C. The mordanted fiber was weighed [2.5 ± 0.01 g (as-is)] into 28-g gelatin capsules (Jorgenson Laboratories, Loveland, CO).
The cows were orally pulse-dosed with 12 gelatin capsules containing Cr-mordanted fiber (30 g, as-fed) from their respective forage assignments. Capsules were administered with a multiple-dose balling gun (Nasco, Fort Atkinson, WI) at about 1800 h, after the evening milking. Samples of feces were collected at approximately 0, 12, 15, 18, 21, 24, 27, 36, 42, 48, 60, 72, and 84 h postdosing. Most samples were collected in holding pens at the milking parlor. Samples were collected on pasture for h 15, 18, 21, 27, and 42. Fecal samples were refrigerated immediately after collection. All fecal samples were dried at 65°C for at least 48 h, and ground through a 1-mm screen using a Wiley mill. Samples (2 g, as-is) were dried at 105°C and ashed at 550°C for determination of DM and OM (AOAC, 1990). Samples were analyzed for Cr by atomic absorption spectrophotometry (Perkin Elmer model 500, Norwalk, CT) according to the procedure of Williams et al. (1962).
Each cows chromium excretion curve was analyzed using PROC NLIN following the method described by Pond et al. (1987). To calculate the intake of herbage, the following assumptions were made: intake of supplement was the same for all cows within a paddock, digestibility of supplement was equivalent to its calculated total digestible nutrients values based on the NRC (1989), and digestibility of forage was affected by amount of supplement intake. The measure of forage IVOMD for each paddock was used in equations to calculate forage intake by cows grazing that paddock. Fecal output (kg/d) should equal total intake (kg/d) multiplied by the indigestible fraction of a feed. However, FO observed based on the mordanted fiber method was not equal to the FO predicted based on forage and supplement digestibilities because total dietary DM in vivo digestibility may be higher or lower than expected depending upon the effects of supplements upon forage digestibility (Moore and Sollenberger, 1997; Dixon and Stockdale, 1999). Thus, forage OM intake (OMI) was calculated using an iterative SAS (SAS Inst., Inc., Cary, NC) program developed by John E. Moore (personal communication, 1998). In this program, total OMI is computed from estimates of FO (called observed FO) obtained from the marker appearance curve, and total diet digestibility [called expected digestibility (EXPD)] to balance for the estimated proportion of forage and concentrate supplement OM consumed and their respective digestibilities. Estimated forage OMI is the difference between total OMI and known supplement OMI. The equation to calculate EXPD is:
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This EXPD was further adjusted to help account for associative effects (Moore et al., 1992; Dixon and Stockdale, 1999) that may result from mixed forage-concentrate diets. This new calculation of total diet digestibility, called adjusted digestibility, was obtained using an equation developed from a wide range of published data of mixed diet digestibilities showing deviation from the expected (based on calculations from the weighted intake and digestibilities of the forage and concentrate supplement components) when mixed diets are fed (Moore et al., 1999). The equation is:
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Using this adjusted digestibility value (ADJ), a prediction of FO was computed:
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Given that supplement OMI is fixed, the iterative SAS program then adjusted estimates of forage intake until the difference between observed FO and predicted FO is less than 0.01 kg of OM/d. Forage OMI estimates were converted to DMI estimates by dividing the OMI by OM concentration of the forage.
Feed Costs and Milk Income
Feed costs and income from milk were calculated for the 2 forage systems and the confined housing system. Calculation of feed costs included establishment (soil preparation and seed) and maintenance (fertilization, herbicide, and insecticide use) of pastures, costs of feed-stuffs, costs of TMR for barn cows, concentrate supplement for grazing cows, cottonseed hull-based supplement for grazing cows, total ration costs for 3 systems, costs of herbage and amount and extent of use of concentrate supplements fed per cow.
Statistical Analysis
The experimental design was a randomized complete block with 4 replications. Data were analyzed using SAS procedures for repeated measures (Littell et al., 1996, 1998; SAS Institute, 1989).
The standard model for repeated measures experiment of animal and plant response variables was
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where yij = the response at time j on treatment i, µ = the overall mean,
i = fixed effect of treatment i, ßj = fixed effect of time j, (
ß)ij = fixed interaction effect of treatment i with time j, and eij = random error at time j on treatment i.
Contrasts of barn vs. pasture system 1 and barn vs. pasture system 2 were made. Interactions between treatment and sampling period (time) were determined using contrast statements in PROC MIXED. Differences were considered significant at P < 0.05. Pasture systems were tested at each evaluation date for plant response variables (herbage mass, IVOMD, CP, NDF, and intake) and all systems were tested every week for animal response variables (milk yield, milk composition, BW, and plasma NEFA, glucose, and urea N concentrations). Economic variables were analyzed using ANOVA models for a completely randomized design in PROC MIXED (SAS Institute, 1989). An F-protected least significant difference test was used to compare all treatment effects.
| RESULTS AND DISCUSSION |
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Herbage Mass
Pregraze and postgraze herbage mass in winter/spring averaged 2350 ± 330 and 910 ± 190 kg of DM/ha, respectively. Pregraze and postgraze herbage mass in summer averaged 3580 ± 830 and 2400 ± 630 kg DM/ha. Herbage mass did not differ between pasture systems during winter and through 23 July in summer (Figure 1
). This situation changed during late summer when growth rate of pearl millet decreased. From 12 August throughout September, herbage mass of Tifton 85 bermudagrass (system 2) was greater than that of pearl millet.
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Forage CP concentrations were not different between pasture systems 1 and 2 during winter at any of the 7 sampling times (24.8 vs. 24.7%), however, CP concentration was lower in April and May compared with the cooler months (22.1 vs. 26.8%; Table 3
). Although mean CP concentration was not different between pearl millet and bermudagrass in summer (22.3 vs. 19.0%; Table 3
), pearl millet CP was greater than that of bermudagrass (4 to 6 percentage units) in 2 samples collected in August and September. Mean NDF concentration was not different between pasture systems 1 and 2 during the winter season (46.6 vs. 48.1%). However, summer forages did differ, with pearl millet having lower mean NDF concentration compared with bermudagrass (58.6 vs. 72.6%). This pattern was evident at all sampling times. This lower NDF concentration did not result in greater IVOMD values for pearl millet.
Forage and Total Intake
Average DMI by cows in free-stall confinement was 23.6 kg/d. Once in winter and once in summer, DMI was determined using chromium marker techniques. Neither forage nor total intake was different between pasture systems in either season (Table 4
) but cows consumed more forage (13.4 vs. 10.6 kg/d) and more DM (24.7 vs. 19.0 kg/d) in winter than summer. This was likely due to a greater nutritive value of winter compared with summer forages (Table 3
) and to a greater energy need of cows producing more milk in winter. Herbage DM consumed was 55% of total DMI in winter and summer. These total DMI are similar to those reported by other authors. Muller et al. (1995) reported daily DM consumption of 22.2 kg/d by grazing cows of which 65% came from grass-alfalfa (Medicago sativa L.) pasture. Holden et al. (1994) reported pasture intake ranging from 11.6 to 15.6 kg of DM/d by cows grazing a mixture of perennial cool-season grasses between April and September, with forage intake lowest in summer. The total DMI varied only between 19.9 and 22.4 kg/d.
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When using the sward difference method to estimate forage intake, cows grazing winter pastures without clovers consumed more DM on February 24 and March 17 than those on pastures containing clovers (Figure 2
). Differences may have been due in part to numerically greater herbage mass (Figure 1
) and greater proportion of ryegrass in system 2 than in system 1 (54 vs. 46%). During the summer period, cows grazing pearl millet consumed more herbage DM in July evaluations (Figure 2
) but less in late September. This drop off in late September was probably due to very low pearl millet herbage mass at that time (Figure 1
).
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Grazing cows lost approximately 113 kg in the first 8 wk postpartum compared with 58 kg for confined cows (Figure 4
). This greater loss of BW was accompanied by lower milk yield compared with barn-confined cows. These dual responses must have been driven by a greater negative energy status of grazing animals possibly due to lowered energy intake and greater energy expenditures as described earlier. With the growth of new forage in the summer (approximately wk 11 to 21 postpartum), cows on pastures gained BW so that BW of cows in barns or on pastures did not differ during this period. Toward the end of the summer growing season, pearl millet stands became somewhat depleted and cows lost BW and therefore were lighter than cows in free-stalls (Figure 4
). Cows grazing bermudagrass did not differ in BW from cows managed in free-stalls.
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12 mg/100 mL for almost the entire trial, indicating that dietary CP intake was seldom, if ever, limiting milk yield.
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Pasture cost was calculated to be $298.95/ha for rye-ryegrass-clovers, $289.21/ha for rye-ryegrass, $332.80/ha for pearl millet, and $288.91/ha for bermudagrass. The cost ($9.74/ha) for the winter component of system 1 was 3% higher due to the cost of clover seed that was not totally compensated for by additional N fertilization on system 2 (rye-ryegrass-without clovers). Summer pastures of system 1 (pearl millet) had a 15% greater ($43.89/ha) cost than those of system 2 (bermudagrass). Pasture costs were $0.35 and $0.30/d per cow for pasture systems 1 and 2, respectively (Table 5
).
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Milk price was set at $31.95/kg. Greater milk income but greater feed costs of cows in free-stalls compared with those of grazing cows (P < 0.05) resulted in milk income minus feed cost values being not statistically different between the systems, ranging between $5.32 and $5.84/d per cow (Table 5
). If costs of labor, feeding and harvesting equipment, and housing facilities were included in the analysis, profitability among the dairy management systems would likely differ. In another study, a pasture-based system was economically competitive because costs were reduced, even though milk yield of cows was lower when cows were pastured compared with being confined and fed in a barn (White et al., 2002). Cows on pasture had less clinical mastitis and lower BW and BCS than confined cows; but Holsteins generally had lower BCS, reduced reproductive rates, more mastitis, and higher culling rates than Jerseys in both the pasture and confinement systems (Washburn et al., 2002). Individual dairy producers will need to assess their own situations when making decisions regarding management systems to adopt.
| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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| FOOTNOTES |
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Received for publication June 1, 2004. Accepted for publication November 9, 2004.
| REFERENCES |
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