I H H ‘il H 1‘ HHHHIWI 1" 1 \ 'll { | 1 WW ’2, 007 [—I LIBRARY ‘ Michigan State University L. Ll This is to certify that the thesis entitled INCORPORATING ENVIRONMENTALLY COMPLIANT EXCESS NUTRIENT DISPOSAL COSTS INTO LEAST COST DAIRY RATION FORMULATION presented by JOLEEN CHRISTINE HADRICH has been accepted towards fulfillment of the requirements for the MS. degree in AGRICULTURAL ECONOMICS 8% Major Professor’s Signatu<é/ M a}, .7! ZOO ‘7 Date MSU is an aflinnative—action, equal-opportunity employer ‘ -.-.-.-.-.-.-._.-.-.-.- -.- - ‘ - PLACE IN RETURN BOX to remove this checkout from your record. TO AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE 6/07 p'ICIRC/DateDueindd-pt INCORPORATING ENVIRONMENTALLY COMPLIANT EXCESS NUTRIENT DISPOSAL COSTS INTO LEAST COST DAIRY RATION FORMULATION By Joleen Christine Hadrich A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Agricultural Economics 2007 ABSTRACT INCORPORATING ENVIRONMENTALLY COMPLIANT EXCESS NUTRIENT DISPOSAL COSTS INTO LEAST COST DAIRY RATION FORMULATION By Joleen C. Hadrich Livestock ration formulation minimizes feed cost subject to animal nutrient requirements for a target performance level. This method ignores the cost of disposing nutrients in excess of nutritional requirements, which are disposed of in animal waste. To address these issues this research evaluates incorporating the potentially substantial cost of disposing nutrients in excess of nutritional requirements. Nutrient disposal costs are estimated using an economic engineering approach and incorporated into a modified least cost ration formulation using separable programming. Including disposal cost allows for an assessment of the trade off between lower input cost feed ingredients and higher disposal costs with nutrient excretion to evaluate a joint decision which minimizes feed and nutrient disposal costs. To illustrate the method and its importance this study evaluates disposal costs and its implications on ration formulation for two representative Michigan dairy farms. Results for Farm 1 and 2 demonstrate that ration formulation does change when phosphorus disposal costs are included in the feeding decision. Land availability and proximity, animal density, crop rotation, and initial phosphorus content are shown to be important to determining phosphorus disposal cost. The results imply that it is quite simple to modify ration formulation to account for nutrient disposal costs in addition to feed input costs. T0 Dean, Daryl, Joelle, and Joylynn, thanks for everything iii ACKNOWLEDGEMENTS I would like to thank my committee, composed of Dr. Christopher Wolf, Dr. J. Roy Black, Dr. Stephen Harsh, and Dr. Michael Vandehaar for their guidance throughout the thesis research process. In particular, I would like to thank Dr. Wolf for being my research advisor and major professor. His advice and encouragement during the development of the thesis was greatly appreciated. I would also like to thank Nicole Olynk for her knowledge in dairy nutrition and her answers to my constant questions about the rations formulated for my model. Special thanks go out to Megan McGlinchy and Crystal Jones for their added input during the research process. Finally, I am extremely grateful to my brothers and sisters for taking care of everything at home. iv TABLE OF CONTENTS LIST OF TABLES ............................................................................................................. vi LIST OF FIGURES .......................................................................................................... vii Chapter 1: Introduction ....................................................................................................... 1 Chapter 2: Liteature Review ............................................................................................... 5 2.1 Animal Science Literature .................................................................................. 5 2.2 Ration Formulation Literature ............................................................................ 8 Chapter 3: Nutrient Disposal Cost Function ..................................................................... 11 3.1 Manure Production ........................................................................................... 12 3.2 Cropping Program ............................................................................................ 15 3.3 Manure Application Rate ................................................................................. 16 3.4 Manure Disposal Cost ...................................................................................... 17 3.5 Phosphorus Disposal Cost ............................................................................... 19 Chapter 4: Ration Formulation ......................................................................................... 21 4.1 Ration Formulation with Disposal Costs ......................................................... 21 4.2 Relationships between Parameter Constraints and Feed Ingredients .............. 25 Chapter 5: Application to Representative Dairy Farms .................................................... 28 5.1 400 Acre Farm with Lactating Cows ................................................................ 28 5.1.1 Farm Characteristics ..................................................................... ' ............ 28 5.1.2 Ration Formulation Specification ............................................................. 32 5.1.3 Results ....................................................................................................... 34 5.1.3 Sensitivity Analysis .................................................................................. 38 5.2 750 Acre Farm with Lactating Cows, Dry Cows, and Heifers ......................... 42 5.2.1 Farm Characteristics ................................................................................. 42 5.2.2 Ration Formulation Specifications ........................................................... 45 5.2.3 Results ....................................................................................................... 48 Chapter 6: Conclusion ....................................................................................................... 53 References ......................................................................................................................... 55 LIST OF TABLES Table 1: Dairy manure and nutrient production levels ..................................................... 12 Table 2: Nutrient removal rate for Michigan field crops .................................................. 16 Table 3: Nutrient requirement parameters ........................................................................ 24 Table 4: Nutrient content of feedstuffs ............................................................................. 25 Table 5: Manure application rates and costs for varying levels of phosphorus in the lacataing cow dairy ration ......................................................................................... 30 Table 6: Nutrient constraints for lactating cows ............................................................... 32 Table 7: Modified LP tableua for lactating cows .............................................................. 33 Table 8: Lacatating cow LP ration comparisons ............................................................... 34 Table 9: Lactating cow ration formulation under varying fat inclusion levels ................. 39 Table 10: Lactating cow ration formulation under price changes .................................... 41 Table 11: Manure application rates and costs for varying levels of phosphorus in the total farm ration ................................................................................................................. 44 Table 12: Nutrient constraints for lactating cows, dry cows, and heifers .............. '. .......... 46 Table 13: Modified stacked LP tableau for total farm ...................................................... 47 Table 14: Total farm LP ration comparisons .................................................................... 49 vi LIST OF FIGURES Figure 1: Lacatating cow excess phospohrus disposal costs as determined by incremental increases in lactating cow phosphorus intake .......................................................... 37 Figure 2: Total farm excess phosphorus disposal costs as determined by incremental increases in total farm phosphorus intake ................................................................. 51 vii Chapter 1: Introduction Livestock ration formulation minimizes feed cost subject to animal nutrient requirements for a target performance level. This approach allows the farm manager to make livestock feeding decisions based on the relative prices and nutrient content of available products. For example, dairy cows are fed to minimize cost subject to achieving a specified level of milk production, which, in turn, dictates protein, energy, mineral and vitamin levels. However, focusing solely on input costs ignores the cost of over-feeding specific nutrients, such as phosphorus, which may accompany the lowest cost protein and energy sources. Over-feeding nutrients leads to nutrient excretion disposed of in manure. This research reconsiders livestock ration formulation to evaluate a joint decision which minimizes feed and nutrient disposal costs. Manure and wastewater can contribute to excess phosphorus and nitrogen levels in soil and water leading to the need for nutrient loading limit levels to prevent pollution. With increasingly rigorous enforcement of the Clean Water Act and Clean Air Act farmers are now facing environmental compliance costs manifested through nutrient management. Most states have defined generally acceptable management practices to prevent further pollution (Bosch, Zhu, and Kornegay 1997). In many states these practices are related to a “Right to Farm” law protection making the standards quite important for farms to avoid nuisance lawsuits. Actual compliance costs pertaining to phosphorus removal are individual to the farm situation and depend on various factors such as, animal density, waste management methods, and feeding practices, among others (Keplinger and Hauck 2006; Boland, Preckel, and Foster 1998). The cost of handling excess phosphorus is farm-specific; therefore what one farm might find cost prohibitive another may not. However, it is clear that environmental compliance costs are significant on many farms and the livestock diet formulation decision is a major source of nutrient import onto the farm. The importance of nutrient disposal cost considerations in diet formulation is especially timely now as a large amount of by-products are generated as biofuel production increases. By-products of the ethanol industry, such as distillers dried grains with solubles (DDGS), are low cost sources of protein and energy which permit substitution for corn grain and soybean meal in livestock diets, but also supply phosphorus in excess of nutritional requirements. I The dairy industry has been feeding DDGS to dairy cattle for over a century, but with new technologies DDGS contain considerably higher quantities of protein, energy, and phosphorus than in earlier years (Schingoethe 2004). Furthermore, many times homegrown forages included in the ration formulation provide sufficient phosphorus nutrients for the dairy cow, therefore the phosphorus in the DDGS leads to excess nutrients in the ration (Cerosaletti, Fox, and Chase 2004). Due to the direct link between the phosphorus intake and phosphorus excretion in dairy cattle (Morse 1992; Myers 2003; Knowlton et a1. 2004) feeding management is a critical control point for phosphorus management on dairy farms to prevent nutrient loading (Rotz et a1. 2002; Wu, Satter, and Sojo 2000; Spears, Young, Kohn 2003; Dou et a1. 2003; Cerosaletti, Fox, and Chase 2004; Toor, Sims, and Dou 2005). This potential tradeoff between low-cost feedstuffs and higher nutrient disposal costs can be used to arrive at economically desirable management decisions. ' Distillers grains with solubles are processed in two forms: dried distillers and wet distillers. For the purposes of this paper dried distillers grains with solubles will be considered. Environmental consequences and increased access to by-product feeds indicate that phosphorus based nutrient plans must be implemented at the operational level to prevent future environmental costs and/or fines. This indicates that nutrient disposal may introduce additional costs through feed bills, exporting manure off farm, and cost of purchased commercial nitrogen (when manure is applied at phosphorus removal rates). Growing concerns about environmental pollution, worker health, and the welfare of animals from intensified livestock production systems require re-evaluation of livestock diet formulation to account for nutrient disposal costs of phosphorus on farmland. Incorporating nutrient disposal costs in ration formulation allows the producer to evaluate a joint decision which minimizes the total ration cost which includes feeding and disposal costs. Thus, a tool to be used at an operational level can assist producers and nutritionists in designing true least cost rations. The objectives of this thesis are to: (a) develop a nutrient disposal cost function which accounts for animal density, land availability, crop selection, hauling distance, soil nutrient stocks, manure disposal technology, and environmental regulations, (b) estimate a ration formulation model that recognizes nutrient disposal costs, and (c) demonstrate the methods and present results and implications for feeding decisions for two representative dairy farms. An economic engineering approach was used to build a farm nutrient disposal cost function. The nutrient disposal cost was implemented in a modified linear programming model using separable programming. Ration formulations were formulated for two representative farms. Farm 1 was a 400 acre farm with 200 lactating cows. Farm 2 was a 750 acre farm with 200 lactating cows, 40 dry cows, and 200 replacement heifers. The results from both representative farms demonstrated that including the nutrient disposal cost in ration formulation reallocated feed ingredients to achieve lower levels of phosphorus fed in the ration. The thesis proceeds in the following manner: Chapter 2 reviews the literature describing relationships between animal nutrition and nutrient excretion as well as methods utilized to Optimize multiple objectives; Chapter 3 derives the cost of nutrient disposal with environmental regulation constraints and requirements; Chapter 4 builds the nutrient disposal cost into a least cost ration formulation; Chapter 5 illustrates the optimal joint decision for the representative farms; Chapter 6 summarizes and concludes. Chapter 2: Literature Review The literature review provides information regarding dairy nutrition and the methods used for determining ration formulation. It is divided into two main sections: dairy nutrition and ration formulation methods literature. The dairy nutrition literature explains the role and nutritional requirements of phosphorus for the dairy animal. Additionally, the dairy nutrition literature reviews sources of nutrient loading on dairy farms as well as methods of prevention. The ration formulation methods literature summarizes previous methods used to solve ration formulation decisions with more than one objective. 2.1 Dairy Nutrition Literature Numerous studies, particularly dairy science research literature, have identified the increased amount of nutrient loading in agricultural systems and the need for prevention of this environmental concern. Studies have evaluated animal management (Rotz, et. al, 2002), nutrient precision feeding (Rotz et al. 2002; Wu, Satter, and Sojo 2000; Spears, Young, and Kohn 2003; Dou et al. 2003; Cerosaletti, Fox, and Chase 2004; Toor, Sims, and Dou 2005), crop and soil management (Rotz et al. 2002), as well as whole farm nutrient balance (Wang et al. 2000; Spears, Young, and Kohn 2003) to determine the critical control point for nutrient loading. The main conclusion from each of these studies is phosphorus management is best controlled through ration formulation. Past research identified a possible positive relationship between phosphorus intake and reproductive performance. Numerous studies have evaluated this relationship; however Nutrient Requirements of Dairy Cattle (NRC) identified evidence from past research that feeding phosphorus in excess of nutritional requirements does not increase reproductive performance. In particular, NRC reviewed seven studies which evaluated dietary phosphorus inclusion rates ranging from 0.24% to 0.62% of dietary dry matter intake (DM1) and effects on reproductive performance (2001). The results from the studies demonstrated that the reproductive performance of dairy cows was not improved with greater phosphorus inclusion levels in rations fed. Therefore, NRC reduced the phosphorus inclusion rate of 0.48% DMI from the 1989 level to a 2001 recommended inclusion range of 032-03 8% DMI. This range was chosen rather than a set level, since phosphorus inclusion is dependent on feed quality of the ration mix and target milk production levels (NRC 2001). Phosphorus loading may develop on farms from more than one source. For example, dairy producers may feed phosphorus in excess of nutrient requirements due to variation in phosphorus content of homegrown and purchased feed, inconsistencies between NRC recommendations and advice from nutritionists, among other factors. Dou et a1. (2003) evaluated phosphorus levels fed on dairy farms in New York, Pennsylvania, Delaware, Maryland, and Virginia to determine the critical control point for phosphorus loading. The results indicated that even though farmers relied on professional nutritionists and veterinarians to develop their ration formulations phosphorus was still fed 34% above the 2001 NRC recommended levels (Dou et al. 2003). Dou et al. concluded that nutrient levels of feedstuffs were not accurately portrayed in the feeding decision, such as homegrown forages were not tested for nutrient content levels; therefore, causing phosphorus to be fed in excess of nutritional requirements. Cerosaletti, Fox, and Chase (2004) conducted a survey in the Cannonsville Reservoir Basin in Delaware County, New York to evaluate dietary strategies on herd sizes ranging from 45-100 cows. A whole farm mass balance was used to determine nutrient imports, exports, and recycling on farm with home grown forages. Homegrown forages fed in ration formulation represented an on farm recycling of phosphorus whereas milk production represented the opportunity to export phosphorus off farm. The amount of phosphorus that was not exported off farm was excreted in dairy manure, which was applied to crops as fertilizer, and then utilized by the crops, which were later harvested and fed to the cows, hence completing the phosphorus cycle. Therefore, a whole farm mass phosphorus balance was used to determine the nutrient levels on farm. The responses from the survey concluded that phosphorus intake levels exceeded phosphorus nutritional requirements by 32% across all herds studied. Two phosphorus limited diets were implemented. Results concluded that after reducing the phosphorus in the ration formulations, phosphorus intake levels were still in excess of requirements due to high levels of phosphorus in the forages. Rotz et al. (2002) used DAFOSYM to evaluate the long term effects of changing crop production, feed use, and return of manure nutrients back to the land over various weather scenarios. Results concluded that eliminating the use of phosphorus fertilizer and phosphorus feed supplementation reduced the accumulation of phosphorus in the soil. However, a change in the cropping program minimally reduced the soil phosphorus content. Decreasing the amount of phosphorus fed allowed for a cost savings in purchased minerals and decreased the amount of phosphorus excreted. Rotz et al. concluded that the most easily implemented change was reducing the amount of phosphorus fed to the animal such that it coincided with the 2001 NRC recommendations while considering the whole farm phosphorus balance. Based on the abundance of research in the nutrient/precision feeding area, feeding management is the key area in reducing nutrient loading by balancing phosphorus supply and intake against cow nutritional requirements and target performance levels. Reducing phosphorus is a highly integrated problem which is influenced by animal density, waste management methods, and feeding practices, among other factors. In addition, recycling phosphorus with the use of homegrown forages also represents and additional component of this problem since it has been stated that a dairy ration will have adequate phosphorus levels for nutritional requirements with just the forages of the diet. Therefore, any supplementation, which is typically needed for protein sources, will undoubtedly increase phosphorus levels fed (Beede, 2003). 2.2 Ration Formulation Methods Literature Ration formulation is often determined using linear programming which minimizes feed cost subject to animal performance and nutritional requirements for a target performance level. Past literature has recognized that the current ration formulation cost minimization is limiting in its ability to optimize a dairy ration and minimize costs subject to nutritional and environmental requirements due to the non- linear nature of environmental constraints. With increased emphasis on environmental concerns a modified linear programming model can be developed which incorporates these factors. Many multiple objective programming methods have been explored and applied to solve this problem: multi-goal programming, compromise programming, goal programming with penalty functions, and weighted goal programming (Romero and Rehman 2003). Multi-goal programming in an applied dairy setting was evaluated by Lara and Romero (1992) who argued that producers were more interested in the optimal ration which achieves a compromise amongst several objectives versus the least cost ration. Therefore, utility functions were incorporated in the model to account for the individual farmer preferences (Lara and Romero 1992). This method works well in theory but in practice the difficulties of defining utility functions make application difficult. Stokes and Tozer (2002) evaluated multiple objective programming using distance functions in a compromise goal setting to minimize the ration cost as well as excess nutrient excretion (phosphorus and nitrogen) for dairy cows. Subjectivity was introduced into this model with the use of distance functions to minimize the distance from the ideal and anti-ideal values in compromise goal programming. Additionally, the lack of information regarding the appropriate metric and weights to use in the compromise programming makes this model difficult to apply in a real-world setting. Jean dit Bailleul et al. (2001) modified the traditional least cost ration formulation algorithm for swine diets by including a cost associated with excess nitrogen excretion levels. This nutrient cost was determined exogenously and included in the objective function of the ration formulation in a stepwise form. Pomar et al. (2006) applied the same technique to reduce the amount of phosphorus concentration in pig diets by accounting for disposal and feed input costs simultaneously. The cost included in this application pertained to the excess and unavailable phosphorus in the swine diets. In the research by Jean 'dit Bailleul et a1. (2001) and Pomar et al. (2006) the environmental costs entered exogenously which failed to recognize that a joint decision would be optimal to minimize the total feeding and disposal cost. The appropriate farm decision can be accurately incorporated in a useable model by determining the excess nutrient costs endogenously from manure disposal costs and marrying these results with the linear programs that livestock industries already utilize. Including a nutrient disposal cost in the traditional linear program captures the tradeoff between costs of feedstuffs included in the ration and more expensive manure disposal costs due to phosphorus fed in excess of nutritional requirements. Our model allows the farm decision-maker to assess trade-offs between higher costs for livestock diets and the resulting environmental compliance costs. 10 Chapter 3: Nutrient Disposal Cost Function Manure is a by-product of livestock production which is usually recycled on farm as fertilizer. The nutrient composition of manure is a function of the ration fed and animal species. Manure application rates are a function of manure nutrient content, (e. g., nitrogen and phosphorus application method, crop and soil content). Therefore, if the dairy producer utilizes feedstuffs with high levels of certain nutrients, such as phosphorus, it may increase the cost of nutrient disposal through manure application. Current environmental laws monitor nutrient levels in soil in an effort to alleviate detrimental environmental effects of nutrient loading. For example, soils tests are performed on farms to determine the level of phosphorus in the soil. High levels of excess phosphorus entering the surface and groundwater can lead to algal blooms and eutrophication; therefore manure application rates are monitored to prevent such occurrences. An economic engineering approach was used to build a farm nutrient disposal cost function. This approach allows us to estimate manure application cost dependent on various farm characteristics, practices, and technologies. Factors determining the cost - function include: manure production, crop use of manure nutrients, manure application rate, manure disposal technology, and feed ingredients in the ration. Manure application is assumed to be the primary source of fertilizer which is supplemented with commercial fertilizer as needed. This management strategy minimizes commercial fertilizer costs and is the most efficient method to recycle manure on farm. Each of these factors is dealt with in turn below. 11 3.1 Manure Production The amount of manure produced and the nutrient content of that manure, such as nitrogen (N), phosphorus (P205), and potassium (K20), on farm varies with each animal species and ration fed. When phosphorus is fed and secreted in milk it takes the form of phosphorus (P). However, when it is in manure and fertilizer it takes the form of phosphate (P205). Table 1 presents the manure, N, P205, and K20 production levels compiled from the MWPS-18, SI for lactating cows, dry cows, and heifers (Midwest Plan Services 2001). Table 1. Dairy manure and nutrient production levels Livestock Manure Manure N P205 K20 (lbs/day) (gal/day) (lbs/day) (lbs/day) (lbs/day) 150 pounds 12 1.44 0.06 0.01 0.05 250 pounds 20 2.41 0.11 0.02 0.09 750 pounds 45 5.42 0.23 0.08 0.23 1000 pounds 60 7.23 0.30 0.1 0.31 Lactating, 1000 pounds 111 13.37 0.72 0.37 0.40 Lactating, 1400 pounds 155 18.67 1.01 0.52 0.57 Dr” 1000 51 6.14 0.30 0.11 0.24 pounds D”: 1400 71 8.55 0.42 0.15 0.33 pounds Source: Midwest Plan Services 2001. The underlying assumption of this thesis assumes inclusion levels of phosphorus in dairy rations affect the P205 content of manure excreted by the animal. Published results only report one value for P205 content of manure excreted and do not specify the phosphorus levels in the rations used to compile the data. Therefore, calculated values of phosphorus excretion for lactating cows were used rather than the P205 results from 12 published sources to better account for the varying levels of phosphorus inclusion in the ration. Past literature has demonstrated the most accurate way to account for phosphorus excreted in manure for lactating cows is subtracting the amount of phosphorus in milk produced from the amount of phosphorus in the ration (Myers, 2003). Phosphorus excreted by lactating cows was calculated as: PC =(PFED - PMILK )~2_3, where the components of this equation were calculated as PFED = PL *C*365, PMILK = 0.0009 * MY. PC is the total pounds of P205 excreted in lactating cow manure (all lactating cows for the entire year); PFED is the total phosphorus fed in the lactating cow ration (lbs); PMILK is yearly pounds of phosphorus secreted in milk; PL specifies pounds of phosphorus fed (cow/day); C is the number of lactating cows in the herd; 365 represents days the ration is fed, 0.09% specifies the average phosphorus content of secreted milk (NRC 2001); and MY is defined as total farm milk yield production (lbs/year). The conversion of phosphorus to P205 was calculated by multiplying phosphorus by 2.3 since there are 2.3 pounds of P205 per one pound of phosphorus (Michigan Department of Agriculture 2006). Phosphorus excreted by dry cows and heifers was determined by subtracting the amount of phosphorus retained for average daily growth from what was fed. Heifer and dry cow manure phosphorus excretion levels were calculated as Pi = (Pia) - Prim)“ 23, 13 where the components of this equation were calculated as Pia) = PL" *N*365, pi” = 0.007 * ADG where i indicates heifer (H) or dry cow (D) group; P,- is P205 (lbs) excreted in the heifer or dry cow manure (all animals for the entire year); P,,’;ED is total phosphorus fed in the heifer or dry cow ration (lbs); Pg“. is yearly pounds of phosphorus retained by the dry cow; PL' is pounds of phosphorus fed (animal/day); N is number of heifers or dry cows in the herd; 0.7% represents the average phosphorus retained by the respective animal which is dependent on ADG (Vandehaar and Kriegel 2005), and ADG is average daily grth for the animal (lbs). The ADG for heifers and dry cows is dependent on age and stage of pregnancy where applicable (Vandehaar and Kriegel 2005; NRC 2001). The nutrient density of manure was calculated by dividing the total farm nutrient content of the manure by the total farm gallons of manure produced. Total farm nutrients for N, P205, and K20 were calculated as the summation of the specific manure nutrient produced across all animal categories. Total farm gallons of manure were calculated as the summation of gallons of manure produced across all animal categories. The nutrient density (N, P205, and K20) of the manure was calculated as where TFN, is the total farm nutrient production (lbs)for j where j=l=N, j=2= P205, j=3= K20, M is the total farm manure production (1000 gallons), and ND,- is the jth nutrient density of the manure (lbs/1000 gal). The P205 density of the manure changes based on 14 the phosphorus inclusion rate in the ration formulation, but the N and K20 content are assumed to remain unchanged with ration changes. 3.2 Cropping Program Crops acres planted on farm remove nutrients through nutrient uptake from manure application and commercial fertilizer. In particular, crop use of manure nutrients is determined by the crop yield and pre-existing nutrient levels of the soil (Feinerman, Bosch, and Pease 2004). For example, in Michigan corn silage with an average yield of 22 tons/acre removes approximately 73 lbs/acre of P205 from the soil whereas corn grain with an average yield of 150 bu/acre removes approximately 56 lbs/acre of P205 (Wamcke et al. 2004). Therefore, a farmer may choose to plant corn silage in saturated phosphorus soil in order to decrease soil phosphorus levels. These differences in phosphorus utilization/uptake demonstrate the importance of manure management techniques on the cropping program and nutrient disposal. The following characteristics of individual farms are needed to calculate the nutrient removal of the crops planted: potential yield of crops, nutrient removal rates, and nutrient credits. Nutrient removal and credit values were compiled from the Michigan State University extension bulletin entitled, “Nutrient Recommendations for Field Crops in Michigan (Wamcke et al., 2004) which are represented in Table 2. Nutrient removal (lbs/acre) was calculated by multiplying the pounds per unit of nutrient removal in Table 2 by the potential yield of the crop planted. 15 Table 2. Nutrient removal rates for Michigan field crops . N removal N credit P205 K20 Crop Unrt (lbs luni t) (lbs luni t) removal removal (lbs/unit) (lbs/unit) Alfalfa Hay ton 45 40 + (% 13 50 Haylage ton 14 stand) 3.2 12 Barley Grain bu 0.88 0.38 0.25 Straw ton 13 3.2 52 Beans, dry Grain CM 3.6 1.2 1.6 edible Bromgrass Hay ton 33 1 3 5 1 Canola Grain bu 1.9 0.91 0.46 Clover:grass Hay ton 41 1 3 39 Corn Grain bu 0.90 0.37 0.27 Silage ton 9.4 3.30 8 Oats Grain bu 0.62 30 + 0.25 0.19 Straw ton 13 0.5(%stand) 2.8 57 Orchardgrass Hay ton 50 17 62 Sorghum Grain bu 1.1 0.39 0.39 Sorghum- Hay ton 40 1 5 58 Sudangrass Haylage ton 12 4.6 l 8 Soybeans Grain bu 3 .8 30 0.8 1 .4 Srgar beets Roots ton 4.0 1.3 3.3 Wheat Grain bu 1.2 30 + 0.63 0.37 Straw ton 13 0.5(%stand 3.3 23 ‘Source: MSU extension bulletin E-2904, Wamcke et al. 2004. 3.3 Manure Application Rate Initial soil phosphorus content is determined by soil tests on farms. Current environmental laws monitor nutrient levels in soil in an effort to alleviate detrimental environmental effects of nutrient loading. Therefore, many states have defined agronomic manure application rates dependent on the initial soil phosphorus levels (Feinerman, Bosch, and Pease 2004). For example, Michigan uses the Bray Pl soil test as specified by the Generally Accepted Agricultural and Management Practices for Manure Management and Utilization (GAAMP) in accordance with the Michigan Right to Farm guidelines to determine the phosphorus per acre soil content. This criterion 16 specifies three acceptable manure application rates: nitrogen removal, phosphorus removal, and no manure application. The relevant manure disposal application rate is determined by initial soil nutrient stocks, manure nutrient density, and agronomic crop nutrient removal rate. The manure application rate (gal/acre) for the respective nutrients in the manure was calculated as NR- —NC M4Rj,= ——’S—S—*1000, ND!- where MAst is the jth manure application rate for crop 5, NR], is the jth nutrient removal level for crop s (lbs/acre), NC, is the nutrient credit for crop s (lbs/acre) which is given in the form of nitrogen (N) credits based on N fixation in legume crops, ND, is the jth nutrient density of the manure (lbs/1000 gal), and 1000 converts the manure application rate to gallons per acre. 3.4 Manure Disposal Cost The total cost to dispose of manure was calculated as MDC: (LT +7'r,,+UT,,+1T ) *HR, M2 1 n where MDC is the manure disposal cost (3), n indicates field available for manure spreading (whether owned, rented or through some other agreement), LT is the manure loading time (hrs), 77”,, is the manure transportation time (hrs) which is a function of the distance to field n, UT ,, is the manure unloading time (hrs) which is a function of field n characteristics, IT is the manure incorporation time (hrs), and HR is the hourly rate ($/hr) for manure disposal. An hourly rate is used rather than a cost based on mileage since the distance manure must be hauled is function of the time needed for transport (V anette l7 2006). The hourly manure disposal cost incorporates yearly machinery and labor costs for loading, transportation, unloading, and incorporation time of manure (Harri gan 1997). Each of the time components of the manure disposal cost is dealt with in turn below. Loading time (LT) includes agitating the manure, maneuvering the spreader, and pumping manure into the spreader. Loading time is a function of the quantity of manure produced, which is dependent on the number and type of animal on the farm. It is also a function of the pump, agitator and spreader used. Typical time allocations for these tasks can be found in Extension bulletins (Harrigan 2001). Transportation time (T1) is the time needed to transport a full load of manure from the manure storage facility to the field and return the empty spreader. TI'is a function of the quantity of the manure produced, manure transportation equipment technology, and distance the manure must be hauled for disposal. There are numerous spreader options for manure disposal, such as, tractor-drawn tank, truck mounted, and nurse trucks to transport manure to remote locations. The producer matches appropriate tractor and spreader type with farm size and hauling distance. The average speed of the tractor varies with road conditions, distance, and . whether the spreader is empty or full (Harrigan 1997). The distance manure must be hauled for disposal is a function of initial soil nutrient levels of available acres. As the soil nutrient content increases, less manure can be applied necessitating further hauling distances. Available acres are a function of owned and rented acres, as well as the availability of other acreage for spreading manure that may be obtained through agreements (for a fee or not). 18 Unloading time (U7) is a function of the quantity of manure produced, manure application rate, and manure spreader capacity. Manure application rate is a decreasing function of the nutrient density of the manure, increasing function of crop removal rates, and decreasing function of initial soil phosphorus content. Incorporation time (17) is the amount of time needed to incorporate the applied manure into the soil, which is a function of the acres utilized for manure application. During incorporation it is assumed the tractor is driving at a constant speed. Manure contains nutrients which may reduce or eliminate the need for commercial fertilizer application. Therefore, it is appropriate to calculate a fertilizer value of manure to calculate the total manure disposal costs net of fertilizer. This fertilizer value was only applied to manure disposed on farm and applied at the agronomic phosphorus removal rate for both the phosphorus and nitrogen removal rates. The P205 content of manure was calculated and multiplied by the US commercial fertilizer price, $0.25/1b (Rausch 2006), to determine the fertilizer value of manure. This value was subtracted from the MDC to obtain the total manure disposal costs net of fertilizer value, NMDC 3.5 Phosphorus Disposal Cost The dietary requirement for phosphorus in the dairy diet is calculated as the summation of absorbed phosphorus needed for maintenance, growth, pregnancy, and lactation divided by the absorption coefficients (NRC, 2001). For example, nutritional requirements to produce 67 pounds of milk per day requires a dry matter intake of 52 pounds per day, of which 0.17 pounds of the ration is composed of phosphorus. This daily phosphorus consumption level correlates to 0.04 pounds/cow of excess phosphorus 19 (NRC, 2001). Thus, there will always be at least 0.04 pounds/cow of phosphorus to dispose through manure application indicating some disposal cost is unavoidable. Therefore, the relevant disposal cost to consider when changing ration formulation is the increase in disposal cost above this minimum unavoidable level that results from the ration selected. Total farm phosphorus disposal cost was calculated from the NMDC as NMDC — NMDC P D C = Fed Re q , PFed'PReq where PDC is the average cost to dispose of one excess pound of phosphorus ($/lb), NMDCM is the farm manure disposal cost net of fertilizer value for the phosphorus fed (above requirement), NMDC is the manure disposal cost net of fertilizer value for the Ru: minimum level of phosphorus to dispose (phosphorus requirement level), Pped is the amount of phosphorus fed in the ration formulation (lbs), and PR“, is the amount of phosphorus fed to achieve the nutritional requirement (lbs). The daily total farm disposal cost of excess phosphorus was calculated by multiplying PDC by the pounds of excess phosphorus fed in the total farm ration; This procedure was repeated for a range of phosphorus inclusion levels in the total farm ration to derive the phosphorus disposal cost function. Therefore, the PDC is a function of total farm manure disposal costs. 20 Chapter 4: Ration Formulation Dairy ration formulation is posited as minimizing costs while maintaining a specified milk production level. The production function for milk production can be represented as y=f(L. F. 0), where y is the milk yield, L is labor input, F is feed input, and 6 is defined as random states of nature that affect milk production, such as weather and stress levels on cows. The dairy producer evaluates different methods to decrease the cost of production dependent on input levels. In particular, the dairy producer evaluates the nutrient composition of different feeds to determine if a less expensive feedstuff can be substituted in the ration to decrease input costs while maintaining nutritional requirements for a specified milk production level. 4.1 Ration Formulation with Disposal Costs The least cost ration formulation can be estimated using linear programming (LP). This approach minimizes the costs of production while holding output (milk production) fixed. LP has been widely used in the area of optimizing cost performance subject to animal performance and the nutritional requirements that a specified performance level dictates and hence is an appropriate model for this research problem (Waugh 1951; Black and Hlubik 1980; France and Thornley 1984; Tozer 2000; Coffey 2001). LP has three quantitative components: decision variables, an objective function, and constraints. The decision variables describe a particular type of action, such as, the amount of a particular feedstuff included in the ration formulation. The objective function determines the optimal combination of decision variables to minimize total 21 ration costs. The constraints are restrictions for the decision variables. For this model one constraint specifies that dry matter intake can not exceed 52 pounds of feed a day per lactating cow. The assumptions of linear programming also require the objective function and constraints must be linear and completely deterministic. The decision variables must be continuous, homogenous, and non-negative to allow integer or fractional values to be used to obtain the optimal objective function (France and Thornley 1984). Since linear programming is the most commonly used method of dairy ration formulation we want to use a programming technique that can incorporate the nutrient disposal cost directly in the current ration formulation LP. As stated previously, the objective function and constraints must be linear and deterministic. The nutrient disposal function is non-linear necessitating separable programming to replace this function with a piecewise linear approximation (France and Thornley 1984). Separable programming is a technique that allows nonlinear functions of single variables to be used in either the constraints or objective functions of a linear programming problem. This non-linear technique is used to find a global or local optimum to a large number of non-linear problems allowing a linear approximation to a curve (Miller 1963). The linear programming ration formulation with the nutrient disposal cost function is defined as n m (1) Minimize C = ijxj + Zpkdk j=l k=l Subject to: n (2) 261ng > (=,<) bl j=1 22 m (3) Zlkdk =1 k=1 (4) Xj,/Ik 20, Vj,k The objective function is specified in equation (1) where x] are quantities of feed ingredients with price p,- and d}.- are the quantities of excess phosphorus (dependent on the phosphorus feed intake level) with a nutrient disposal price pk. Equation (2) depicts the bounds of the nutritional constraints where 0,} is the nutritional content of the i’h nutrient in the f" feed ingredient. The right hand side variable b, represents the bounds of the 1"” nutrient. Equation (3) specifies the constraint for the separablity row where M is a row of ones. We want the LP to choose continuous activities (d. and d“) to ensure the Kuhn Tucker conditions hold. Therefore, Md], is the proportion of the phosphorus disposal activity based on the k’h level of phosphorus intake by the cow. Equation (3) must sum to one to ensure all manure is disposed. Equation (4) defines non-negativity conditions. This LP program produces the least cost combination of feed ingredients that meet the nutrient requirements for the specified performance level with the incorporation of the nutrient disposal cost function; therefore, solving for a joint decision. Nutrient requirement parameter descriptions are presented in Table 3. The feedstuffs available for ration formulation were divided into four feed source categories: silage, hay, energy feeds, and by-product feeds. The nutrient content of the feedstuffs are presented in Table 4. Only feedstuffs common to Michigan were included. The nutrient requirement parameters are the b,- in equation (2) of the LP. For example, the crude protein (CP) nutrient requirement for a cow producing 67 pounds of milk per day is 8.44 pounds per lactating cow per day. This constraint is met by multiplying the amount of a feedstuff fed by the nutrient content of the feedstuff. If this 23 ration fed 10 pounds of alfalfa 1.91 pounds of CP will be supplied, therefore the ration still needs to supply 6.53 pounds of CP. The LP allocates the remaining 6.5 3 pounds of CP by simultaneously assessing the tradeoffs of the nutrient contents and prices of alternative feedstuffs as well as additional nutritional constraints. Table 3. Nutrient Requirement Parameters Nutrient Requirement Parameters Abbreviations Description of the parameter Dry Matter Intake DMI Amount of feed consumed by the anrmal. Neutral Detergent Fiber NDF Deterrnrnes the fiber requrrements for the cow. Crude Protein* CP Total amount of protein in the diet Rumen Undegraded Protein“ RUP Amount of protern not degraded in the rumen (bypass protern). Rumen Degraded Protein“ RDP Amount of protern degraded 1n the rumen. Net Energy for Lactation NEL Amount of energy needed for maintenance and lactatron. Calcium Ca Mineral needed in ration Phosphorus P Mineral needed in ration Calcium to phosphorus limits C a:P 1203:1015 the mrneral relatronshrp 1n the Ether Extract Fat Included 1n.ratron to control rntake, erther 1n anrmal or vegetable form. Total Digestible Nutrients* TDN Amount of ruminally available energy. *Specifies intermediary equations used for the protein system. It was assumed that RUP+RDP=CP, indicating the protein system is perfectly balanced for this model. 24 Table 4. Nutrient content of feedstuffs Legume Cotton Corn hay with Groun Seed, Silage, grass , (1 Corn Soybean whole Nutrient norma mid- Grain Meal, with Parameter Units l maturity Alfalfa (dry) 48% CP lint DDGS Dry Matter % 0.351 0.880 0.903 0.881 0.895 0.901 0.902 NDF lbs 0.450 0.472 0.416 0.095 0.098 0.503 0.388 CP lbs 0.088 0.191 0.192 0.094 0.538 0.235 0.297 RUP lbs 0.353 0.18 0.409 0.473 0.426 0.229 0.508 RDP lbs 0.647 0.82 0.591 0.527 0.574 0.771 0.492 NEL "/11? 0.725 0.5318 0.541 0.914 1.004 0.882 0.895 Ca lbs 0.0028 0.01 17 0.0147 0.0004 0.0035 0.0017 0.0022 P lbs 0.0026 0.0030 0.0028 0.003 0.007 0.006 0.0083 Mg lbs 0.0017 0.0027 0.0029 0.0012 0.0029 0.0037 0.0033 Fat lbs 0.032 0.02 0.025 0.042 0.01 1 0.193 0.1 TDN lbs 0.688 0.594 0.564 0.887 0.814 0.405* 0637* Source: NRC, 2001. "‘ Fat corrected TDN was used since the calories fi'om fat are not useful for generating microbial protein. The calculation was as follows: [TDN-((Fat-.30)*2.25)], (Black 2007). 4.2 Relationships between Parameter Constraints and Feed Ingredients There are many concerns when determining a dairy cow ration formulation. For example, properly accounting for the metabolizable and microbial protein, fiber and fat inclusion levels, dry matter intake, and the fermentability of the diet are all factors considered in ration formulation. These factors are influenced by the feed ingredients _ included in the ration formulation. DDGS is a feedstuff that causes concern in ration formulation since affects each of the items above. Modeling the protein system in dairy ration formulation is needed to ensure adequate nutritional values for body maintenance and milk production. This is of particular interest with DDGS which have a high proportion of protein bypassing the rumen with protein quality below other possible sources. The protein system is driven by metabolizable protein (MP) which is dependent on crude protein (CP), rumen degraded protein (RDP), and rumen undegraded protein (RUP). The relationship between the 25 different classifications of protein is modeled in the total digestible nutrients (TDN) requirements. MP is modeled as MP = RUP + RDP, where RUP is defined as bypass protein and RDP is composed of two items: microbial protein and urea. TDN is modeled as an energy requirement per pound of microbial protein to equate the supply of microbial protein through RDP to the crude protein demand of the animal. TDN is a proxy for the ruminally available energy. DDGS are typically included in the ration for a protein source, but are also a source of fat, fiber, and phosphorus. In particular, energy in DDGS is primarily in the form of digestible fiber and fat which has lead to numerous debates about the inclusion levels of these nutrients in the diet (Jenkins 2002). Fat and fiber are important components of the dairy ration. Fiber is a major source of energy for milk production, but is only utilized once it is fermented in the rumen. Feeding excess fat may reduce the microbial fermentation in the rumen. Consequently, fiber utilization is strongly related to fat consumption. Feeding in excess of fat requirements may decrease dry matter intake which concurrently decreases the amount of energy available for milk production. Therefore, the inclusion of fat is an important factor when determining a dairy ration with DDGS. Schingoethe (2004) has recommended that the maximum inclusion rate of distillers fed to dairy cows can be up to 20% of the dry matter intake of the lactating dairy cow. This equates to about 10-11 lbs/cow/day of DDGS based on a DMI of 52 lbs/cow/day. Past studies have demonstrated that feeding more than this inclusion rate will decrease milk production (Schingoethe 2004). Feeding 10-11 lbs of DDGS 26 corresponds to a 10% fat inclusion rate. Therefore, a ration with 52 pounds of DM1 includes approximately 5 pounds of fat (ether extract). Allen suggests limiting fat to 4- 8% of total DMI, which corresponds to an inclusion of 2-4 pounds of fat. Jenkins (2002) evaluated 20 different fat inclusion studies and found that inclusion rates ranged from 1.5-6.8% of the dry matter intake (Jenkins 2002). This may conclude that high levels of DDGS in the ration formulation may lead to excess amounts of fat in the ration which, in turn, can suppress feed consumption and inhibit energy digestion through fiber. This issue will be addressed through a sensitivity analysis limiting the percent of fat inclusion in the ration formulation in Chapter 5. 27 Chapter 5: Application to Representative Dairy Farms The application to representative dairy farms is divided into two sections. The first application evaluates manure disposal technologies, nutrient disposal costs, and their implications on the feeding decision for a 400 acre dairy farm with 200 lactating cows. The second application is a 750 acre farm with 200 lactating cows, 40 dry cows, and 200 replacement heifers. 5.1 400 acre farm with only lactating cows The representative herd for this analysis was based on an average Michigan dairy farm milking 200 cows (Wittenberg and Wolf 2005). It was assumed the farm had 400 crop acres which is equivalent to two acres per cow of cropland to dispose of manure. The ration formulated for this model was based on a representative lactating Holstein cow weighing 1400 lbs, 120 days in milk, 3.0 body condition score, and a 3.5% fat corrected milk with milk production of approximately 67 pounds of milk per day. These assumptions require a daily DMI of 52 pounds of feed per cow per day. 5. 1. 1 Farm characteristics Total farm manure production for this 200 cow herd was 1,139,157 gallons of manure with a nutrient content of 61,610 pounds of nitrogen and 34,770 pounds of K20 in the manure. The nutrient density of this manure was calculated as 31 pounds of N per 1000 gallons of manure and 31 pounds of K20 per 1000 gallons of manure.2 The nutrient production and density of P205 change with the ration formulation and are presented in Table 5. The daily base phosphorus requirement for lactating cows was 0.18 pounds of phosphorus. Thus, the total herd consumed a minimum of 36 pounds of phosphorus per 2 Available N was used rather than N due to volatilization of N. Available N = 51 lbs/1000 gal * 0.35 * 12, where 0.35 is the mineralization factor and 12 is the percent solids in the lagoon manure. 28 day or 10,749 pound per year. Phosphorus fed was increased by two pounds per herd per day to generate the remaining phosphorus fed and excreted levels.3 This increase was chosen to allow the increments between feeding decisions to be small enough for implementation of separable programming. The 400 crop acres were divided between corn grain, corn silage, alfalfa, and soybeans. The percent of the total acres devoted to each crop was determined using mean share values from the 2004 Michigan Dairy Farm Business Analysis Summary (Wittenberg and Wolf 2005). Corn grain, corn silage, alfalfa and soybeans utilized 116, 76, 100, 108 acres, respectively. The average yield was assumed to be 150 bu/acre, 22 ton/acre, 6 ton/acre, and 45 bu/acre for corn grain, corn silage, alfalfa, and soybeans, respectively. Nutrient removal for the different crops was calculated based on fertilizer recommendations from the MSU Extension Bulletin E-2904 presented in Table 2 (Wamcke et al. 2004). Manure was applied to the crops based on the GAAMP standards in accordance with Michigan Right to Farm guidelines for manure application. Manure can be applied to land at nitrogen removal rates if the soil test for phosphorus is less than 149 lbs/acre. If the soil test level is in the range of 150-299 lbs/acre of phosphorus, manure may be applied at phosphorus removal rates. If the phosphorus soil test is above 300 or more lbs/acre manure may not be applied to the soil (Michigan Department of Agriculture, 2006). Based on the GAAMP standards each crop was split into the three hauling categories, therefore, each crop has three application rates: nitrogen removal application rate, phosphorus removal application rate, and no manure application. The nitrogen removal application rate was included in this analysis since farmers want to apply at the 3 This is the equivalent of increasing phosphorus fed by 5 grams per cow per day. 29 highest application rate possible. It should be noted that applying at the nitrogen removal rate increases the possibility of phosphorus loading. Therefore, in the subsequent years nitrogen removal rate land may turn into phosphorus removal land. The most extreme case of a farm scenario would be applying all manure at the phosphorus removal rates. Nitrogen removal manure application rates for corn grain, corn silage, alfalfa and soybeans were 4,365 gal/acre, 6,686 gal/acre, 7,436 gal/acre, and 4,559 gal/acre, respectively. Phosphorus removal manure applications rates vary with the amount of phosphorus fed in the ration and are presented in Table 5. Table 5. Manure application rates and costs for varying levels of phosphorus in the lactating cow dairy ration Phosphorus intake (lbs/herd/year) 10,749a 12,093 13,436 14,780 16,123 17,467 P205 density of manure (lbs/1000 gal) l4 17 20 22 25 28 Phosphorus excreted in manure (lbs)b 7,088 8,431 9,775 11,118 12,462 13,806 Phosphorus excreted above minimum nutritional 0 1,343 2,687 4,030 5,374 6,718 requirement (lbs) Crop Manure Application Rate (gallons/acre) Corn Grain 3,878 3,260 2,812 2,472 2,206 1,991 Corn Silage 5,073 4,265 3,679 3,234 2,885 2,605 Alfalfa 5,451 4,582 3,952 3,475 3,100 2,798 Soybeans 2,516 2,115 1,824 1,604 1,431 1,292 S/herd/year Manure Disposal Costs (MDC) 16,429 17,413 19,014 20,560 21,859 22,861 Manure Disposal Costs net of fertilizer (NMDC)c 12,757 13,023 19,014 20,560 21,859 22,861 Source: Calculated from representative farm assumptions aPhosphorus fed based on minimum nutritional requirements. bMultiplying by 2.3 generates the P205 manure value. cA fertilizer credit is not give to manure applied off farm 30 For a base case, it is assumed that all four crops had 20% of their acres in the nitrogen manure application rate category, 50% in the phosphorus manure application rate category, and 30% in the no manure application rate category. Applying these assumptions the example farm with 400 crop acres had 280 acres available to dispose 1,139,157 gallons of manure. Owned acreage was available at a range of one to four miles round trip. If the on-farm acres were not sufficient to dispose of all the farm manure, it was assumed that 200 acres were available for off-farm manure application at varying distances of 7-20 miles roundtrip. The farm used a 200 horsepower tractor to pull a 6,000 gallon manure spreader. A 100 horsepower tractor was used to operate a 70-90 horsepower manure pump. It was assumed that the manure spreader was filled at an average loading rate of 1,300 gallons per minute. Therefore, it took 4.6 minutes to fill a 6,000 gallon manure spreader. Agitation and maneuvering the spreader from the storage to the roadside was assumed to take 7.5 minutes (Harrigan 1997). It was assumed the tractor traveled at a constant speed of 12 miles per hour with a full load of manure traveling distances less than a mile. The tractor traveled at a constant speed of 14 miles per hour with full loads of manure traveling further than a mile from the manure storage facility. A constant speed of 14 and 17 miles per hour was assumed for return trips less than a mile and greater than a mile, respectively. The tractor traveled at a constant speed of four miles per hour while unloading the manure. The manure spreader width was calculated as 20 feet, which accounted for overlap of manure application. A 220 horsepower tractor was used for manure incorporation traveling at a constant speed of 4 miles per hour. The tillage 31 equipment incorporated the manure at a swath width of 45 feet. The hourly cost for manure disposal was valued at $150 (Vanette 2006). 5.1.2 Ration formulation specification The nutrient and mineral content of feeds used in the model were specified from the Nutrient Requirements for Dairy Cattle (NRC 2001) with the additional support of Spartan Ration 3 (Vandehaar and Kriegel 2005). Feed ingredients were limited to those typically available to dairy producers in Michigan. Nutritional constraints are specified in Table 6. The feed ingredient prices included in this paper were compiled as a three month average (October 2006-December 2006) of Chicago feed prices to represent prices relationships and decisions (LMIC 2006). Table 6. Nutrient constraints for lactating_c_ows Constraint Sign Lactating Coefficients Cows DMI lbs/day <= 5 1 .92 NDF lbs/day >= 14.14 CP lbs/day >= 8.44 RUP lbs/day >= 3.88 RDP lbs/day >= 4.57 NEL Meal/day >= 1 8.92 Ca lbs/day >= 0.32 P lbs/day >= 0. 1 7 Fat lbs/day <= 2.2 1 TDN lbs/day >= 3 1 .3 1 Source: NRC and Spartan 3 The ration formulation was estimated using the modified LP, which jointly minimized the feeding and nutrient disposal costs. The modified LP tableau is presented in Table 7. 32 Emama cod Nd- wed- mod and 3.838;; 2: _ _ 30m 0.383% 3.5 Red awed 28 RN _.o mmod Em 26 good cmood m de mmood wmood «0 m2: Nb.— mvg Amz nmé mavd Seed and warm womd mmmd gm 34.x Sad wwod m0 3 .3 wwmd med “52 mm. ~ m Noad Emd ~35 1 . . owe—mm Bob wfltfloaa mid :Em mm: mm c E o mOQQ :80 323%: maeaameam 3.5 ”5.525 958 $552“— ..8 .5935. .3 vow—=52 .h «Bah. . 33 5.1.3 Results Two least-cost rations were formulated. The first ration minimized feed cost without phosphorus disposal cost considerations. The second ration simultaneously minimized joint feeding and nutrient disposal cost decision by incorporating phosphorus disposal costs. The phosphorus disposal cost function exhibits increasing returns to scale, which violates the second order conditions for solving the linear program with separable programming. To correct for this problem we iteratively solved (restricted entry method) for the separable row to determine what region the manure disposal activity would locate. This region was then used to solve the ration formulation. LP results are presented in Table 8. Table 8. Lactating cow LP Ration Comparisons Ration Ration Formulation Formulation Independent joint with of disposal phosphorus Feed Ingredient Cost/unit costs disposal costs lbs/cow/day Corn silage $25/ton 20.57 21.93 Legume Hay with grass $100/ton -- -- Ground Corn $2.50/bu 17.94 19.06 Calcium Carbonate $20/cwt 0.71 0.63 Cottonseed, whole with lint $160/ton -- 0.41 Soybean mean, 48% CP $190/ton 2.78 4.92 DDGS $120/ton 10.03 5.07 $/cow/day Feed Cost 2.6749 2.7068 Disposal Cost 0.2093 0.0129 $/herd/year Herd Feed Cost 195,267.7 197,596.4 Herd Disposal Cost 15,278.90 941.70 Total Herd Cost 210,546.6 198,538.1 Source: Calculated from data * This ration does not include a mineral and vitamin premix 34 DDGS are a source of protein and energy, but also provide large amounts of phosphorus. Therefore, including the phosphorus disposal cost in ration formulation allows us to evaluate the consequences of including particular feedstuffs. Including the excess phosphorus disposal cost function reallocated the feed ingredients in the ration as the additional disposal costs became large enough to off-set the cost savings of feeding cheaper sources of energy and protein. In particular, the amount DDGS in the ration formulation decreased by 50% whereas the soybean inclusion increased by 77%. This occurred because the cost of excess phosphorus disposal was greater than the value of the low cost protein source. In the base case protein and energy was supplied by DDGS with a phosphorus content of 0.0183 pounds per pound fed and was replaced by soybean meal, with phosphorus content of 0.0070 pounds per pound fed when phosphorus disposal costs were included (NRC 2001). Incorporating the nutrient disposal cost increased the total cost of the ration but lowered aggregate feed and disposal cost. The ration formulation independent of disposal costs had a yearly per cow feed and disposal cost of $1,052.73 with total manure disposal costs applied at environmentally compliant phosphorus rates, of $76.39/cow, and feed cost of $976.34/cow. The phosphorus disposal case had a yearly total cost of $992.69/cow, which was composed of a $987.98/cow feed cost and $4.71/cow phosphorus disposal cost. Thus, the base case incurred a phosphorus disposal cost which was not recognized in the total ration cost. Incorporating the excess phosphorus disposal cost function increased feed cost by 1%, but decreased excess phosphorus disposal costs by 90% resulting in a total cost savings of $51 .50/cow/year. This is a yearly cost savings of $12,008 for the 200 cow herd. 35 For operations with an adequate land base to dispose of manure, the feeding decision may not change with the inclusion of the nutrient disposal cost. The key underlying component to this problem is a function of land availability and initial soil nutrient levels. If all manure can be applied only at the phosphorus application rate due to high soil nutrient levels additional off farm land may be needed for manure application. This leads to increased time required to dispose of the same amount of manure (gallons) and hence increases the cost of nutrient disposal. Figure 1 depicts excess phosphorus disposal costs for two manure application cases for the representative 200 cow farm. The base case used the assumptions described in Section 5.1 of the thesis. The alternative case was developed to compare excess phosphorus disposal costs when the manure application rate was limited to that of only phosphorus removal for the available crop acres. Therefore, it was assumed that 0%, 70%, and 30% of all crop acres are in the nitrogen, phosphorus, and no manure application rates, respectively. Both cases applied a phosphorus fertilizer credit to manure applied on farm. If manure was applied off farm a nutrient fertilizer credit was not given since the producer is not benefiting from the manure applied on off farm acreage. 36 22000 20000 1 8000 ~ 1 6000 14000 1 2000 S 8000 6000 4000 _. 2... _///~—/ __ 0 ~ . T T . . . T f . . 10749 11421 12093 12764 13436 14108 14780 15452 16123 16795 17467 Phosphorus fed (Ibalherdlyear) Disposal Cost (Slherdlyear) [—a— Base Case —o—Altemative Gas—e] Figure l. 200 cow excess phosphorus disposal costs as determined by incremental increases in whole farm phosphorus intake The base case began off farm manure disposal when phosphorus fed was greater than 12,093 lbs/herd/year. The alternative case began disposing manure off farm when the whole phosphorus consumed was greater than 10,749 lbs/herd/year. Under both manure disposal strategies 280 acres were available for manure application. However, the alternative case had to dispose manure off farm earlier due to lower manure application rates at the phosphorus removal level. Therefore, once the alternative case fed more than the recommended amount of phosphorus manure disposal went off farm. The fertilizer valuation of the manure did affect the total ration cost (but not the feeding decision) and should be considered when making ration decisions as it could, for example in land that was deficient in phosphorus, lead to feeding higher levels of phosphorus in the livestock ration. 37 5. 1.4 Sensitivity Analysis Past research has recommended the maximum inclusion rate of DDGS in the daily feeding decision is 20% of DM1 (Schingoethe 2004). The base case for the representative farm had a DMI of 52 lbs/cow/day. The base case fed 10 pounds of DDGS cow/day, which is the maximum inclusion level as specified by Schingoethe. The phosphorus disposal case fed 5 pounds of DDGS cow/day which corresponds to a 10% inclusion rate. This suggests that the optimal inclusion rate for DDGS may be below the maximum potential level when the cost of environmental regulations is included. The relationship between fat constraints, DMI, and DDGS inclusion was discussed in Chapter 4. A sensitivity analysis was performed to determine if fat was a limiting constraint in ration formulation, such that changing the fat constraint limited the amount of DDGS included in the ration formulation. Fat inclusion levels of 4, 4.5, and 4.7% were evaluated.4 An inclusion rate of 4.7% corresponds to the maximum DDGS inclusion level as specified by Schingoethe. Results are presented in Table 9. At fat inclusion levels of 4.5 and 4.7% of DM1 including the phosphorus disposal costs produces the total least cost ration. At a fat inclusion level of 4% including the excess phosphorus disposal cost does not decrease the total ration cost, but rather increases the total ration cost by $2810.50/herd/year. This result demonstrates that restricting the fat constraint at low levels may limit the amount of DDGS included in the ration. However, at higher fat inclusion rates the nutrient disposal cost was needed to account for excess nutrients. High levels of fat can suppress feed consumption. Therefore, incorporating the disposal cost not only limits the amount of phosphorus excreted, but also controls fat. 4 Fat inclusion levels below 4% generated infeasible solutions for the LP. 38 £an 5E3? new .805... a ova—o5 8: meet 88 .82 2:... :3de fixmflwa ”www.mom edemd—N mmomdom mamfioa— “moo Box 38. ch. :3 on. Go endow oadnmfi— Exams: on. 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Using the prices from the ration formulation as a base, one price was changed at a time, holding all other prices constant to determine how the feeding decision changed based on feed prices alone. The base prices used for the analysis and the feeding ration results of the scenarios are presented in Table 10. Scenario 1 evaluated changes in the DDGS price. In order to change the ration fed the DDGS price needed to increase by 6% to $126/ton. Under Scenario 1 the amount of DDGS fed decreased by 43% from the base case to feed a ration similar to the one implemented with the phosphorus disposal costs included. Scenario 2 evaluated changes to the soybean price. In order to change the ration fed, the soybean price needed to increase by 50% to $285/ton. Under scenario 2, the amount of DDGS fed decreased, but minimally. Under Scenario 2, the ration formulation was still overfeeding phosphorus by 16%, indicating the nutrient disposal cost function should be implemented to control the amount of phosphorus fed in excess of nutritional requirements. Scenario 3 evaluated changes in the corn price. In order to change the ration fed corn prices needed to increase by 60% to $4/bu. Scenario 3 feeds more DDGS than the original base case (and the maximum inclusion level), which leads to phosphorus fed in excess of nutritional requirements by 43%. Since Scenario 3 increased the inclusion rate of DDGS, this price scenario was run in the phosphorus disposal case. Under pricing Scenario 3, the phosphorus disposal case feeds 10 pounds of DDGS. Therefore the disposal cost is decreasing the amount of DDGS in the ration, but 40 still requiring manure disposal off farm due to the high phosphorus content of the manure . Table 10. Ration formulations undegrice changes Scenarios Base 13 2b 3° Feed ingredients S/unit Lbs/cow/day Silage $25/ton 20.57 21.83 15.3 21.34 Legume Hay, with grass $100/ton -- -- 3.68 -- Ground Corn $2.50/bu 17.94 19.06 20.86 12.08 Calcium Carbonate $10/cwt 0.71 0.64 0.6 0.78 Soybean meal, 48% $190/ton 2.78 4.74 1.92 5.94 DDGS $120/ton 10.03 5.76 9.67 11.90 $/cow/day Feed Cost 2.6749 2.7164 2.8150 3.2356 Disposal Cost 0.2093 0.129 0.2027 0.2106 Total Ration Cost 2.884 2.8454 3.0177 3.4462 llDDGS price was valued at $126/ton bSoybean meal price was valued at $285/ton cCorn price was valued at $4/bu This price analysis allowed us to evaluate how price changes effect the feeding decision while holding farm characteristics constant. Of course, not all prices will‘be held constant in the real world. In particular, corn and DDGS prices are correlated. However, due to the increase of ethanol production and its dependence on com, corn prices will continue to change in the future indicating a structural change in the corn market. If corn prices continue to increase, producers may substitute more DDGS in the ration formulation for corn grain as indicated in Scenario 3 of the price analysis. This is causes concern due to the high phosphorus content of DDGS. Therefore, including the phosphorus disposal cost allows the producer to make the most efficient joint decision for the farm incorporating not only feed costs, but also disposal costs which are directly correlated with the feed inclusion levels. 41 5.2 750 acre farm with lactating cows, dry cows, and heifers As the costs of nutrient management vary with farm characteristics it is useful to examine another case farm. This representative total farm herd had 200 lactating cows, 40 dry cows and 200 replacement heifers. The ration formulated for the lactating cows was based on a Holstein cow weighing 1400 lbs, 120 days in milk, 3.0 body condition score, and a 3.5% fat corrected milk with milk production of approximately 67 pounds of ‘ milk per day. The ration for dry cows was based on a cow 240 days pregnant weighing 1,500 pounds with a target average daily body weight gain of 1.32 pounds. The heifer ration was based on a heifer 12 months old weighing 717 pounds with an average daily target weight gain of 1.6 pounds in order to calve at 24 months. 5. 2.1 Farm characteristics Total farm manure production for this representative herd was 1,799,466 gallons of manure with a nutrient content of 96,522 pounds of nitrogen and 63,218 pounds of K20 in the manure. The nutrient density of this manure was calculated as 31 pounds of available N per 1000 gallons of manure and 36 pounds of K20 per 1,000 gallons of manure. 5 The nutrient production and density of P205 changes with the ration formulation and are presented in Table 11. The daily nutritional phosphorus requirement was 0.18, 0.05, 0.04 pounds of phosphorus per lactating cow, dry cow, and heifer, respectively. Thus, the total herd consumed a minimum of 46 pounds of phosphorus per day or 16,787 pounds per year. At this feeding level the total herd excreted 11,903 pounds of phosphorus (27,377 pounds of P205) per year, which corresponds to a P205 manure nutrient density of 15 pounds per 1,000 gallons of manure. Therefore, 11,903 5 Available N was used rather than N due to volatilization of N. Available N = 51 lbs/1000 gal * 0.35 " 12, where 0.35 is the mineralization factor and 12 is the percent solids in the lagoon manure. 42 pounds of phosphorus is the minimum, unavoidable level of disposal that results from base nutritional requirements specified. The manure disposal costs were estimated by increasing phosphorus fed by 3 pounds/herd/day. This increase was chosen to allow the increments between feeding decisions to be small enough for implementation of separable programming. The representative Michigan dairy farm land base was 750 acres with the cropping program of corn grain, corn silage, alfalfa, and soybeans. The percent of the total acres devoted to each crop was determined using mean values from the Michigan dairy farm survey (Wolf et al. 2007). Corn grain, corn silage, alfalfa and soybeans utilized 200, 140, 190 and 200 acres, respectively. The average yield was assumed to be 150 bu/acre, 22 ton/acre, 6 ton/acre, and 45 bu/acre for corn grain, corn silage, alfalfa, and soybeans, respectively. Nutrient removal for the different crops was calculated based on fertilizer recommendations for average crop yields from MSU Extension Bulletin E- 2904 (Wamcke et al. 2004). It was assumed that the silage and alfalfa (forage) acreage was owned whereas the corn grain and soybean acreage was rented. Therefore, it was assumed rented acreage was further from the farm, indicating a potential for increased nutrient disposal costs. Manure application and disposal technology (disposal equipment, disposal times) were assumed to be the same as those specified for the 200 cow lactating cow herd in section 5.1.1. Nitrogen removal manure application rates for corn grain, corn silage, alfalfa and soybeans were 4,354 gal/acre, 6,669 gal/acre, 7,417 gal/acre, and 4,547 gal/acre, respectively. Phosphorus removal manure applications rates vary with the amount of phosphorus fed in the ration and are presented in Table 11. 43 Under the whole farm analysis, the phosphorus density of the manure decreased compared to the representative farm with only lactating cows. The volume of the manure increased with the addition of the dry cows and heifers, however, the nutrient density of the manure produced by the dry cow and heifers is lower than that of the lactating cows. Therefore, the total nutrient density of the manure decreased allowing for higher manure application rates. Table 11. Manure application rates and costs for varying levels of phosphorus in the total dairy ration Phosphorus fed (lbs/herd/year) 16,787a 17,966 19,145 20,324 21,503 22,683 P205 density of manure 15 17 18 20 21 23 (lbs/1000 gal) Phosphorus excreted in manure (lbs)b 11,903 13,082 14,261 15,441 16,620 17,799 Phosphorus excreted above base nutritional requirement 0 1,179 2,358 3,538 4,717 5,896 (lbs) Manure Application Rate (gallons/acre) Com Grain 3,875 3,526 3,234 2,987 2,775 2,591 Corn Silage 5,069 4,612 4,231 3,908 3,630 3,390 Alfalfa 5,446 4,955 4,545 4,198 3,900 3,642 Soybeans 2,514 2,287 2,098 1,938 1,800 1,681 $/herd/year Manure disposal costs (MDC) 27,256 29,413 31,418 33,303 36,1 10 38,746 Manure disposal costs net of fertilizerc (NMDC) 20,931 22,375 23,738 33,303 36,110 38,746 ' Phosphorus fed based on minimum nutritional requirements. b Multiplying by 2.3 generates the P205 manure value. cA fertilizer credit is not given to manure applied off farm. 44 For a base case, it was assumed that the corn silage and soybeans had 0% of their acres in the nitrogen manure application rate category, 70% in the phosphorus manure application rate category, and 30% in the no manure application rate category. It was assumed that the corn grain and alfalfa crops had 20%, 50%, and 30% of their crop acres in the nitrogen, phosphorus, and no manure application rates, respectively. Applying these assumptions the representative farm with 750 crop acres had 525 (70%) acres available to dispose 1,779,566 gallons of manure. Owned acreage was available at a range of one to four miles round trip. It was assumed rented acres were available at a range of 7-10 miles round trip. This farm had 46, 69, 69, 123, and 217 acres available at the round trip distances of 0.5, l, 2, 3, 10 miles, respectively. If the owned and rented acres were not sufficient to dispose the farm manure, it was assumed an additional 200 acres were available for off-farm manure application at varying distances of 10-20 miles roundtrip. 5. 2.2 Ration formulation Specifications The nutrient and mineral content of feeds used in the model were specified from the Nutrient Requirements for Dairy Cattle (NRC 2001) with the additional support of Spartan Ration 3 (Vandehaar and Kriegel 2005). Feed ingredients were limited to those typically available to dairy producers in Michigan. Nutritional constraints for lactating cows, dry cows, and heifers are specified in Table 12. The feed ingredient prices included in this paper were compiled as a three month average (October 2006-December 2006) of Chicago feed prices to represent prices relationships and decisions (LMIC 2006) 45 The total farm ration formulation was determined using a stacked LP. Therefore, the lactating cow, dry cow, and heifer rations were solved simultaneously using the available feedstuffs presented in Table 4 and nutrient constraints presented in Table 12. A characterization of the stacked LP with the separable row is presented in Table 13. Table 12. Nutrient constraints for lactating cows, dry cows, and heifers Constraint Lactating Dry Coefficients Sign Cows Cows Heifers DMI lbs/day <= 51.92 31.37 24.91 NDF lbs/day >= 14.14 8.54 7.12 CP lbs/day >= 8.44 3 .96 2.12 RUP lbs/day >= 3 .88 1.74 0.18 RDP lbs/day >= 4.57 2.22 1 .94 NEL Mcal/day >= 18.52 6.87 -- NEM* Mcal/day >= -- -- 9.19 Ca lbs/day >= 0.32 0.07 0.08 P lbs/day >= 0.17 0.05 0.04 F at lbs/day <= 2.21 0.85 0.68 TDN lbs/day >= 31.31 14.69 12.66 Source: NRC and Vandehaar and Kriegel, 2006. "' Since heifers are not lactating there net energy requirement is specified as, NEM is Net Energy for Maintenance. 46 Table 13. Stacked LP tableau for total farm Lactating Cow Dry Cows Heifers g Transfer Rows Phosphorus disposal Lactating Corn Corn Corn Lactating Dry Cow Units Silage DDGS Silage DDGS Silage DDGS Cow Cow Heifers 16787 17966 22683 LHS Sign DMI lbs 0.351 0902 <: NDF lbs 0.45 0.388 >= CP lbs 0.088 0.297 >= RUP lbs 0.353 0.508 >: RDP lbs 0.647 0.492 >= NEL Meal/day 1.45 1.97 >: Ca lbs 0.0028 0.0022 >: P lbs 0.0026 0.0083 >: Fat lbs 0.032 0.1 <2 TDN lbs 0.688 0.637 >= Excess P lbs 0.78 2.98 ~1 <- Dry Cow DMI lbs 0.351 0.902 < NDF lbs 0.45 0.388 >= CP lbs 0.088 0.297 >= RUP lbs 0.353 0508 >2 RDP lbs 0.647 0.492 >: NEL Meal/day 1.45 1.97 >2 Ca lbs 0.0028 0.0022 >: P lbs 0.0026 0.0083 >= Fat lbs 0.032 0.1 <2 TDN lbs 0.688 0.637 >= Excess P lbs 0.78 2.98 —1 <= Heifers DMI lbs 0.351 0.902 <= NDF lbs 0.45 0.388 >= CP lbs 0.088 0.297 >= RUP lbs 0.353 0.508 >= RDP lbs 0.647 0.492 >= Nem Meal/day 1.45 1.97 >= Ca lbs 0.003 0.0022 >= P lbs 0003 0.0083 >= Fat lbs 0.032 0.1 <= TDN lbs 0688 0.637 >= Excess P lbs 0.78 2.98 —1 <= Separable Row 1 1 l Phos horus Disposal l l 1 -7300 ‘8053 14653 <: 47 5. 2.3 Results Two least-cost rations were formulated. The first ration minimized feed cost independent of phosphorus disposal considerations. The alternative case simultaneously minimized feeding and nutrient disposal decisions by incorporating phosphorus disposal costs. The phosphorus disposal cost function exhibits increasing returns to scale, which violates the second order conditions for solving the linear program with separable programming. To correct for this problem we iteratively solved (restricted entry method) for the separable row to determine what region the manure disposal activity would locate. This region was then used to solve the ration formulation. Total farm LP ration comparisons are presented in Table 14. Several important effects are apparent when the nutrient disposal costs were included in the ration formulation decision. Including the excess phosphorus disposal cost function reallocated the feed ingredients in the lactating and dry cow ration as the additional disposal costs became large enough to off-set the cost savings of feeding cheaper sources of energy and protein. In particular, the quantity of DDGS fed to the lactating cows decreased by 58% whereas the quantity of soybean meal fed increased from 0.10 lbs/cow/day to 2.11 lbs/cow/day. DDGS fed decreased by 100% for the dry cows while soybean meal fed increase of 39%. This occurred because the cost of excess phosphorus disposal was greater than the value of the low cost protein source. 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