Nutrient Management Planning: 
Win/Win and We Can Do Better
       
      James Pease 
    Dept. of Agricultural and Applied Economics, VPI&SU  
    Laura VanDyke 
    Dept. of Agricultural and Applied Economics, VPI&SU 
    Darrell Bosch 
    Dept. of Agricultural and Applied Economics, VPI&SU 
    James Baker 
    Dept. of Crop and Soil Environmental Sciences, VPI&SU 
    Introduction 
    Concern over agricultural nonpoint source pollution increasingly
    focuses on concentrated livestock operations, which attract particular attention because
    of the production, storage, and disposal of large amounts of nitrogen- and
    phosphorus-bearing manure. Improper manure disposal or excessive applications to crop and
    pasture land may have impacts on surface and ground water. High nitrate levels in water
    supplies have been directly related to regions of high animal concentration across the
    U.S. (Duda and Finan 1983; Kingery et al. 1993; Moore et al.1995). Since Virginia's dairy
    and poultry industries generate over 40% of the Commonwealth's agricultural production
    value, it is imperative to understand and remedy unsafe practices in the most
    cost-effective manner. The extent of pollution potential was indicated by Bosch et al.
    (1992), who estimated that 57% of crop and pasture land sites in Rockingham (Virginia's
    most intensive livestock production county) received manure applications in 1990. It was
    found that poultry farmers over applied nitrogen to farm fields by an average of 49 pounds
    per acre (relative to university recommendations) and over applied phosphate by 137 pounds
    per acre, while dairy farmers over applied phosphate to farm fields by an average of 93
    pounds per acre. The study concluded that such practices posed a serious potential for
    nonpoint source pollution. Parsons (1995) found that 89 percent of 3,766 soil samples from
    Rockingham county rated either "very high" or "high" in phosphorus.
    Such soils do not require any additional phosphorus applications for optimal plant growth,
    either in the current year or for several years to come. It can be expected that soil
    nitrogen levels are also quite elevated. 
    In Virginia, a major public sector tool in controlling water quality
    pollution resulting from agricultural activities is farm nutrient management planning. The
    focus of such planning is farmer adoption of conservation practices designed to better
    manage the use of inorganic and organic fertilizers. These management practices are
    detailed in a written nutrient management (NM) plan. Although incentives or permitting
    regulations may sometimes be involved, farmers usually agree voluntarily to follow the NM
    practices detailed in the plan. Since nitrogen is considered to be the primary nutrient
    pollutant of the Chesapeake Bay, NM plans are designed to control nitrogen runoff and
    percolation from farm fields. However, evaluation of the on-farm environmental and
    economic impacts of NM planning is lacking.  
    Methods 
    In this study, the before-and-after effects of NM practices on farm
    profit and farm-level nitrogen losses were estimated for four Virginia livestock farms
    which had implemented a NM plan: a southwest dairy, a Shenandoah Valley dairy, a southeast
    crop/swine farm, and a Piedmont poultry farm. These farms were chosen in consultation with
    nutrient management specialists in the Virginia Department of Conservation and Recreation
    to represent a cross-section of livestock farm sizes and topographical/hydrological
    characteristics. The Erosion Productivity Impact Calculator (EPIC) was used to estimate
    changes in crop yields and potential nitrogen losses before and after the implementation
    of the plan (Williams et al.1989). EPIC is a computer model used to simulate multi-year
    interactions of weather, hydrology, erosion, nutrient cycling, plant growth, pesticide
    fate, soil temperature, economics, plant environmental control and soil tillage. EPIC
    estimates nutrient losses at the edge of the field and through the bottom layer of the
    root zone, and does not estimate nutrient loadings to water supplies. As such, the results
    estimated here should be taken as a measure of pollution potential rather than as
    pollution loadings. EPIC has been widely tested and used throughout the United States and
    other countries. 
    In consultation with a soil scientist, nutrient management specialists,
    and the farm operator, the major soils, slopes, and rotations on each farm were grouped
    into a manageable number (as many as 10 soils, 4 slopes, and 4 rotations across farms).
    For each soil, slope, and rotation combination, an identical daily weather series was
    randomly generated for one hundred simulated years, using 1953 to 1993 rainfall and
    temperature from the weather station nearest the farm as the expected probability
    distribution for weather parameters. Total nitrogen (N) losses are estimated as nitrate
    losses with runoff, organic nitrogen losses with sediment, and mineral nitrogen losses in
    subsurface flow and percolation. Volatization losses to the atmosphere are not considered
    for NM planning, and are not reported here. Phosphorus (P) losses, although not explicitly
    considered in NM planning, are estimated by EPIC and are reported. 
    Any changes in crop yields and production resulting from altered field
    management practices implemented in the NM plan, such as fertilization levels, crop
    rotations, or tillage, were estimated with EPIC, related costs or returns were estimated,
    and the impacts on farm net returns were analyzed using partial budgets. Investment costs,
    such as for manure storage, were considered as average annual values using straight-line
    depreciation, and annual costs were included for maintenance, repairs, and insurance.
    Additional costs such as pre-sidedress nitrogen tests, split nitrogen applications, and
    manure hauling costs included estimates for supplies, labor, and machinery. Information
    used in developing budgets was obtained primarily through interviews with the producers,
    supplemented by machine cost information and crop price information from secondary
    sources. 
    Results 
    Nutrient loss abatement and changes in annualized net returns
    attributable to the farm's nutrient management planning are summarized in Table 1. As a
    result of the nutrient management plan, N applications were reduced by 21-47 percent
    across the four farms. Adoption of nutrient management practices resulted in significant
    reductions of potential nitrogen and phosphorus losses for each farm. Average annual N
    losses decreased by 23-45 percent, while phosphorus losses decreased by 0-66 percent. The
    principal pathway for nutrient losses before and after the plan was sediment erosion, as
    nutrients adhere to soil particles as they are washed off the field in rainfall runoff.
    The net impact of farm practice changes increased net farm income by $395-$4593 per year.
    Increases in farm income resulted primarily from reductions in commercial fertilizer
    purchases, which in turn were caused by more accurately crediting animal wastes for
    nutrient content. On the Piedmont poultry farm, however, income was increased by
    additional sales of poultry litter resulting from decreased litter application rates. On
    the Shenandoah dairy farms and the southeast swine farm, large reductions in nutrient
    losses were associated with installation of manure storage, which allowed the producer to
    store animal wastes until needed by growing crops. All farms spread manure on larger
    acreages after implementing the plan, thus lowering applications and losses on the smaller
    area formerly preferred for application.  
    Loss reductions vary widely within a farm. Nitrogen loss reductions on
    the Shenandoah dairy, for example, ranged from 5-50 percent depending on soil, slope, and
    crop rotation. As could be expected, losses with soil erosion are greater for row crops
    with no winter cover. Poorer quality soils with high potential for percolation losses
    resulted in higher losses for identical rotations and slopes. On all farms, as the field
    slope increases, the absolute magnitude of nitrogen loss reductions resulting from the
    plan is greater. For example, on the southwest dairy fields with Frederick soils and
    corn-rye-wheat rotations, nitrogen loss reductions are 9, 11 and 13.3 pounds per acre when
    slopes are 4.5%, 10.5%, and 16.5%. This suggests that greater nitrogen loss reductions may
    be possible by targeting high-loss potential soils, slopes and rotations within a farm for
    nutrient management. 
    Methods to investigate improved NM planning were investigated with a
    whole-farm linear programming model (LPNM). The Shenandoah dairy was chosen to be modeled.
    The variety of rotations, soils, and slopes present on the farm permit examination of the
    potential to further reduce nutrient losses beyond the levels of the current nutrient
    management plan through routing of manure and fertilizers according to the loss potential
    of individual fields and through changes in management practices and crop rotations. The
    model maximizes annual farm profit subject to resource constraints and parametrically
    varied whole-farm nitrogen losses. The model may 'choose' from a large set of alternatives
    within the resource base of the farm, including alternatives which involve timing and
    application amounts of fertilizer or manure to crops and pasture, or which vary crop
    rotations. Nitrogen losses for each alternative were estimated with EPIC. Budgets were
    constructed which reflect the variable costs of production of each alternative. Although
    the estimates of costs and nutrient losses vary slightly between the case farm analysis
    and the whole-farm linear programming analysis, the estimated case farm nitrogen losses
    were taken as the baseline to evaluate further nutrient loss reductions.  
    Results indicate that there is potential for an additional 15 percent
    reduction in nitrogen losses when the optimization model is allowed to maximize profits
    through choosing crop rotations and nutrient application practices based on field
    environmental loss potential. This additional loss reduction is achieved with no loss in
    farm income. The marginal cost of such additional loss reductions in terms of farm income
    begins to rise sharply as the whole-farm allowable N losses are further restricted. If N
    losses are restricted to 20 percent below after-plan losses, each additional pound of N
    loss reduction is achieved at a loss of nearly $5.50 in terms of net farm returns. If crop
    rotations are restricted to those chosen by the farmer in the nutrient management plan,
    flexible nutrient application practices can only reduce nitrogen losses by 5% below that
    of the existing NM plan. 
    Implications 
    Nutrient management planning is a cost-effective process to reduce
    nitrogen losses on livestock farms. On each of the studied farms, NM planning was a
    win-win investment that produced significant nitrogen loss reductions and moderate farm
    income increases. For livestock farms, manure storage, manure nutrient crediting, and
    proper timing of applications are keys to NM success. Large N losses occur when, in the
    absence of manure storage, heavy manure applications are made to limited land. Storage
    also allows proper timing of applications, which creates the potential for cost savings
    through reduced fertilizer purchases. Manure testing is a critical element in achieving
    such cost savings. Eliminating manure applications on fields with steep slopes, even if
    over applications are then made to more level fields, will have a significant impact on
    reducing soil erosion and related nitrogen/phosphorus losses.  
    NM plans are developed on a field-by-field basis, relying on operator
    preferences and NM specialist expertise to achieve a balance between profits and nutrient
    losses. There appears to be a significant potential to further reduce losses with
    whole-farm planning through manure routing and crop rotation selection based on field
    susceptibility to nutrient losses. In order to help producers implement practices which
    target the most sensitive areas of a farm, NM planners need spatially sensitive decision
    support systems.  
    Table 1. Nutrient Loss Abatement and Changes in Net Returns, All
    Farms  
    
      
        |   | 
        N loss reduction | 
        P loss reduction | 
        Income Change | 
       
      
        |   | 
        (Lbs./acre) | 
        (%) | 
        (Lbs./Acre) | 
        (%) | 
        ($) | 
       
      
        SouthWest Dairy  | 
        12.8  | 
        27  | 
        0  | 
        0  | 
        +395  | 
       
      
        Shenandoah Dairy  | 
        20.4  | 
        33  | 
        3.7  | 
        0  | 
        +4,593  | 
       
      
        SouthEast Swine  | 
        18.5  | 
        45  | 
        1.7  | 
        0  | 
        +3,014  | 
       
      
        Piedmont Poultry  | 
        4.9  | 
        23  | 
        2.5  | 
        0  | 
        +2,297  | 
       
     
    References  
    
      Duda, A.M. and D.S. Finan. 1983. "Influence of Livestock on Nonpoint Source
      Nutrient Levels of Streams." Transactions of American Society of Agricultural
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      Kingery, W.L., C.W. Wood, D.P. Delaney, J.C. Williams, and G.L. Mullins. 1994.
      "Impact of long-term application of broiler litter on environmentally related soil
      properties. Journal of Environmental Quality. 23-1: 139-147. 
      Moore, P.A., T.C. Daniel, A. N. Sharpley, and C.W. Wood. 1995. "Poultry Manure
      Management: Environmentally Sound Options." Journal of Soil and Water Conservation.
      50-3: 321-327. 
      Bosch, D. J., J. W. Pease, S. S. Batie, and V. O. Shanholtz. 1992. "Crop
      Selection, Tillage Practices, and Chemical and Nutrient Applications in Two Regions of the
      Chesapeake Bay Watershed." Virginia Water Resources Research Center Bulletin.
      VPI-VWRRC-176. 
      Parsons, R. L. 1995. "Financial Costs and Economic Tradeoffs of Alternative Manure
      Management Policies on Dairy and Dairy/Poultry Farms in Rockingham County, Virginia".
      Ph.D. thesis, Dept. of Agricultural and Applied Economics, Virginia Polytechnic Institute
      and State University. 
      Williams, J.R., C.A. Jones, J.R. Kiniry, and D.A. Spanel. 1989. "The EPIC Crop
      Growth Model." Transactions of the ASAE. 32: 497-511.
     
    
    
     
     
    
    
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