A Comparison of the Environmental Impact of Jersey Compared with Holstein Milk for Cheese Production1

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A Comparison of the Environmental Impact of Jersey Compared with Holstein Milk for Cheese Production1 J. Dairy Sci. 95 :165–176 doi:10.3168/jds.2011-4360 ® © American Dairy Science Association , 2012. Open access under CC BY-NC-ND license. A comparison of the environmental impact of Jersey compared with Holstein milk for cheese production1 J. L. Capper*2 and R. A. Cady† *Department of Animal Sciences, Washington State University, Pullman 99164 †Elanco Animal Health, Greenfield, IN 46140 ABSTRACT The carbon footprint was reduced by 1,662 × 103 t of CO2-equivalents per 500,000 t of cheese in Jersey cows The objective of this study was to compare the envi- compared with Holsteins. Use of recombinant bovine ronmental impact of Jersey or Holstein milk production somatotropin reduced resource use and waste output sufficient to yield 500,000 t of cheese (equivalent cheese in supplemented populations, with decreases in carbon yield) both with and without recombinant bovine so- footprint equivalent to 10.0% (Jersey) and 7.5% (Hol- matotropin use. The deterministic model used 2009 stein) compared with nonsupplemented populations. DairyMetrics (Dairy Records Management Systems, The interaction between milk nutrient density and Raleigh, NC) population data for milk yield and com- BW demonstrated by the Jersey population overcame position (Jersey: 20.9 kg/d, 4.8% fat, 3.7% protein; the reduced daily milk yield, thus reducing resource Holstein: 29.1 kg/d, 3.8% fat, 3.1% protein), age at use and environmental impact. This reduction was first calving, calving interval, and culling rate. Each achieved through 2 mechanisms: diluting population population contained lactating and dry cows, bulls, maintenance overhead through improved milk nutrient and herd replacements for which rations were formu- density and reducing maintenance overhead through a lated according to DairyPro (Agricultural Modeling reduction in productive and nonproductive body mass and Training Systems, Cornell, Ithaca, NY) at breed- within the population. appropriate body weights (BW), with mature cows Key words: Jersey , Holstein , environmental impact , weighing 454 kg (Jersey) or 680 kg (Holstein). Resource dilution of maintenance inputs included feedstuffs, water, land, fertilizers, and fossil fuels. Waste outputs included manure and green- INTRODUCTION house gas emissions. Cheese yield (kg) was calculated according to the Van Slyke equation. A yield of 500,000 The environmental sustainability of animal agricul- t of cheese required 4.94 billion kg of Holstein milk ture has recently undergone considerable scrutiny as compared with 3.99 billion kg of Jersey milk—a direct this issue comes to the fore of political, social, and consequence of differences in milk nutrient density (fat economic agendas (Food and Agriculture Organization, and protein contents) between the 2 populations. The 2006, 2010). Improving productivity demonstrably reduced daily milk yield of Jersey cows increased the reduces the environmental impact of dairy production population size required to supply sufficient milk for (Capper et al., 2008, 2009). This is achieved through the required cheese yield, but the differential in BW the “dilution of maintenance” (DOM) concept, where- between the Jersey and Holstein breeds reduced the 3 by the maintenance nutrient requirement is spread over body mass of the Jersey population by 125 × 10 t. increased units of production, reducing natural resource Consequently, the population energy requirement was use and greenhouse gas (GHG) emissions per unit of reduced by 7,177 × 106 MJ, water use by 252 × 109 3 milk. L, and cropland use by 97.5 × 10 ha per 500,000 t of Previous research on the interaction between pro- cheese yield. Nitrogen and phosphorus excretion were ductivity and environmental impact has focused on the reduced by 17,234 and 1,492 t, respectively, through the effect of changing milk production per cow, with DOM use of Jersey milk to yield 500,000 t of Cheddar cheese. having an effect at both the individual animal and the supporting herd or population level. However, the roles of other animal performance characteristics that affect Received March 14, 2011. population maintenance overhead warrant further in- Accepted September 20, 2011. vestigation. As maintenance nutrient requirements are 1 Major funding for this work was supplied by National All-Jersey Inc., Reynoldsburg, OH. directly affected by BW and activity level, an oppor- 2 Corresponding author: [email protected] tunity to reduce total maintenance overhead through 165 166 CAPPER AND CADY changes in BW while maintaining dairy production environmental impact was assessed was the amount would be predicted to reduce the environmental impact of milk required to manufacture 500,000 t of Cheddar of milk production. Similarly, the potential environmen- cheese yielded over a 365-d period. The amount of milk tal effect of changes in performance characteristics such required for Cheddar cheese production from each pop- as age at first calving (AFC), herd life, and calving ulation was calculated from the Van Slyke equation for interval (CI) that affect the dynamics and size of the Cheddar cheese yield (Coggins, 1991): CY = (0.93MF supporting population have not yet been quantified. + 0.80P – 0.1) × 1.09/(1 – desired M/100), where Over the past 65 yr, per capita consumption of fluid CY is Cheddar cheese yield, MF is milkfat, P is milk milk has declined and cheese consumption has increased protein, and M is the desired cheese moisture content. (National Milk Producers Federation, 2009). Given Cheddar cheese yield was set at 500,000 t and cheese that over 40% of milk produced in the United States is moisture at a standard of 37% for Cheddar (Coggins, currently used for cheese production, it is appropriate 1991). The milk required for Cheddar cheese produc- to assess the environmental effects of improved pro- tion was calculated according to breed-specific milkfat ductivity not simply as a function of milk yield, but as and protein concentrations at 0.101 kg of cheese/kg the interaction between milk yield and milk nutrient of milk (Holstein) and 0.125 kg of cheese/kg of milk density (fat and protein content), which is the major (Jersey; Table 1). determinant of cheese yield. Increasing milk nutrient Breed-specific performance data were obtained from density would be predicted to reduce the quantity of the DairyMetrics database (Dairy Records Management milk required for cheese production and thus to have Systems, DRMS, Raleigh, NC; accessed November 13, a positive effect upon environmental impact, although 2009) and are summarized in Table 1. Performance this effect is yet to be quantified. data were based on breed averages from 1.88 million The US dairy herd comprises 90.1% Holstein and Holstein cows located in 12,374 herds, and 68,916 Jer- 5.3% Jersey cattle (USDA, 2007a), 2 breeds that dis- sey cows from 634 herds located throughout the United play very different performance characteristics, notably States. The Holstein population averaged 29.1 kg of a higher milk yield in the Holstein breed compared with milk daily (9,554 kg rolling herd average, RHA) with a higher milk nutrient density and a lesser BW in the milk components for milkfat and protein averaging 3.8 Jersey breed. The environmental impact of recombi- and 3.1%, respectively. Jersey cows averaged 20.9 kg of nant bovine somatotropin (rbST) has been evaluated milk daily (6,467 kg RHA) with a milkfat concentration in Holstein populations (Johnson et al., 1992; Dunlap of 4.8% and protein content of 3.7%. Holsteins had a et al., 2000; Capper et al., 2008) but the effect in small- longer average CI (14.1 mo) than Jerseys (13.7 mo) framed dairy breeds with a generally lower daily milk and a later AFC at 26.1 mo compared with 25.3 mo. yield has not yet been defined. In this study, we used a The culling rate was converted from a removal rate deterministic model to assess the environmental impact (includes culls and deaths) to an estimated herd life. of producing sufficient milk to yield 500,000 t of Ched- The annual Holstein removal rate was 34.5%, which dar cheese from either the Jersey or Holstein popu- was equivalent to an expected herd life of 2.54 lacta- lations using national data for production year 2009, tions, whereas Jersey cows had a removal rate of 30.0%, with and without rbST supplementation. corresponding to an expected herd life of 3.0 completed lactations. The average number of days dry was not MATERIALS AND METHODS directly available from the DRMS DairyMetric system, but available information indicated that it did not dif- This study used data from existing reports and da- fer significantly between the 2 breeds. Thus, average tabases and required no approval from an animal care days dry for both breeds was set to a typical US goal and use committee. Environmental impact was assessed of 60 d (USDA, 2007a). Average SCC did not differ using a deterministic model based on animal nutrition significantly between the 2 populations and was set and metabolism and founded on life cycle assessment at 250,000, the DRMS DairyMetric system-wide aver- (LCA) principles. The model was designed to compare age. Somatic cell count was used within the model as the environmental impact of milk production from 4 a proxy to calculate milk loss resulting from mastitis populations, each containing either Holstein or Jersey (Raubertas and Shook, 1982). cows, with and without rbST supplementation. Supplementation with rbST was modeled according The system boundaries extended from the production to FDA-approved guidelines (Posilac, Elanco Animal of feed and forage crops (including crop input manufac- Health, Greenfield, IN) that indicates supplementation ture) through and including milk harvest. It did not may commence any day between 57 and 70 DIM and include milk transportation, off-farm processing, pack- continuing every 14 d until the end of lactation. Supple- aging, or consumption.
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