NMSU: Grazing-N: A Nitrogen Balance Model for Grazing Dairy Heifers and Dry Cows in New Mexico
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Authors: Respectively, Extension Dairy Specialist, Superintendent/Agricultural Economist, Agricultural Science Center at Clovis and Tucumcari, and Extension Livestock Specialist, all of New Mexico State University.

Introduction

Dairy production in New Mexico has increased 11-fold in the last 20 years (Cabrera and Hagevoort, 2006). This tremendous increase creates challenges to cost-effectiveness in heifer production and dry cow maintenance, as well as concerns over environmental impacts. Raising heifers and maintaining dry cows in confined lots is associated with high production costs related to feed, machinery, and fixed expenses as well as higher environmental impacts. These costs may be lowered by using grazing systems (Lopez et al., 2000) that require less nutrient management input. With 340,000 dairy cows in New Mexico (Cabrera and Hagevoort, 2006) culled at a rate of about 27% annually (Cabrera et al., 2006), there is an opportunity in this state to manage more than 90,000 replacement heifers and 30,000 dry cows in a pasture-based grazing system rather than in confinement where manure production and nutrient management inputs are higher.

The use of forage is important in the agricultural economies of the Great Plains (Hossain et al., 2004). Intensive, cool-season grazing systems are increasingly being adopted by dairy farmers to reduce operating costs (Stout, 1995) and lower management needs for manure disposal and nutrient input.

To optimize production and minimize environmental impact, it is necessary to understand the N fluxes in these intensive grazing systems (Stout, 1995). Grazing livestock play an important role in the ecology of forage fields because livestock consume nutrients in forages that subsequently are converted into energy and tissue and exported out from the ecosystem (White et al., 2001). Most nutrients ingested by livestock are returned to the field in feces and urine (Haynes and Williams, 1993). However, only a portion of the excreted nutrients are available for plant uptake because of nutrient losses from volatilization. Over time, forage growth declines when soil nutrients become depleted. The need to reverse the negative balance of nutrients in the fields creates an opportunity to use and recycle nutrients that may be in excess in other parts of the dairy production system.

The main goal of this study was to develop and provide New Mexico dairy producers, consultants, and officials with a user-friendly application (Grazing-N) for estimating N balance on intensively managed grazing systems. The purpose of this application is to help individual dairies grazing dairy heifers and dry cows develop and comply with their (Comprehensive) Nutrient Management Plan (CNMP) required by regulatory agencies such as the New Mexico Environment Department (NMED), the U.S. Environmental Protection Agency (EPA), and the Natural Resources Conservation Service (NRCS).

Materials and Methods

Net balance of N

Net balance of N (Nnet) in a grazing system is the difference between the amount of N deposited on the ground in feces plus urine that is available for uptake in forage production (Nremain), and the N consumed by the animals through forage ingestion (Nintake). This is represented in Equation 1.

      Nnet = Nremain - Nintake (lbs/day/animal) [1]

    The amount of N incorporated into the forage (Nremain) is calculated as the N excreted on the field in feces and urine (Nexc), less the amount of N lost or volatilized as ammonia before being taken up by the plants (Nvol). This is represented in Equation 2. The amount of N volatilized after excretion (Nvol) varies according to weather and soil conditions. Volatilization can vary from 20 to 80% of the excreted N. The most widely used estimate is 50 percent volatilization (Van Horn et al., 1998), and this is the default value in the Grazing-N model. This parameter should be adjusted by the user of the model to be site-specific.

        Nremain = Nexc Nvol (lbs/day/animal) [2]

    Table 1. Variables used in the Grazing-N in alphabetical order.

    Variable Definition Units
    ADG Average daily weight gain lbs/day
    An Number of animals head
    BW Live body weight lbs
    CCcalc Calculated maximum number of animals to graze head/acre
    CCentered Intended number of animals to graze a field head/acre
    CP Crude protein content (dry matter basis) %
    DM Dry matter %
    DMI Dry matter intake lbs/day/animal
    Fd Size of forage field acre
    Gz Days of grazing day
    i Group of animals grazing type
    n Number of animal groups grazing number
    Nexc Nitrogen excreted on the field in feces and urine lbs/day/animal
    Nintake Nitrogen ingested forage consumption lbs/day/animal
    Nnet Nitrogen net balance lbs/day/animal

    Nremain

    Nitrogen excreted available for plant uptake lbs/day/animal
    Nremoval Nitrogen intake of a group of animals lbs/day/animal
    Nvol Nitrogen lost before taken up by plants lbs/day/animal
    Total Nremoval Nitrogen intake of all groups of animals lbs/acre/ grazing period
    Yforage Forage field productivity of consumable forage lbs/acre

    The N excreted (Nexc) is calculated as a function of the body weight of the animals, following standard values compiled by the Natural Resource and Conservation Service in the Agricultural Waste Management Field Handbook (USDA, 1992). This handbook indicates heifers excrete 0.31 lbs of N and dry cows 0.36 lbs of N for every 1000 lbs of body weight. The Grazing-N model allows 11 user-selected body weight ranges for heifers, between 330 and 1430 lbs. For dry cows, the average body weight of 1600 lbs is the model default, but the user has the option to change this to a more appropriate value.

    Nitrogen intake (Nintake) is calculated by converting the crude protein (CP) content of the consumed forage to N amounts, based on a 6.25 to 1, CP to N conversion. Crude protein intake is calculated by multiplying the forage dry matter intake (DMI) by the forages CP content. This is represented in Equation 3. According to NRC (2001), intensively managed cool-season forages contain 26.5% CP (dry matter basis; SD=5.6). This value is the default value in the Grazing-N model. The user should customize this value with site-specific data from analysis of forage field samples or other records.

        Nintake = DMI × %CP / 6.25 (lbs/day/animal) [3]

    The DMI is calculated differently for dry cows and for heifers. Dry cows consume between 1.8 and 2.1% of their body weight daily on a dry matter basis (Van Horn et al., 1998). A DMI of 1.8% of BW is used as the default value for dry cows. This should be verified and, if necessary, changed by the user. For heifers, DMI is based on BW and the average daily gain (ADG), following NRC (2001). By default, the application Grazing-N uses a value of 1.98 lbs ADG, but the user should re-define this parameter according to specific conditions.

    As defined in this section, Nnet is a negative value that reflects higher amounts of Nintake than Nremain. This indicates the depletion of N in the soil through grazing and the opportunity to replenish N for increased forage production.

    Carrying Capacity

    There are limitations to the capacity of the fields to sustain grazing heifers and dry cows. Carrying capacity (CCcalc) is defined as the maximum number of animals that can be grazed on a forage field for a determined period. CCcalc is calculated as the forage field productivity of consumable forage (Yforage) divided by the DMI required for the animals (Equation 4). Productivity of consumable forage (Yforage) should account for forage losses due to trampling, fouling, decomposition, manure deposits, etc.

        CCcalc = Yforage / DMI (animals/acre) [4]

    Productivity of consumable forage (Yforage) for cool season forages, for example, may be around 0.75 tons dry matter/acre/month, or the equivalent of 50 lbs of dry matter/acre/day (Van Horn et al., 1998), which is used as the default in Grazing-N. The user should custom-tailor this value to site, species, and season.

    Grazing management and N removal

    Grazing management includes decisions such as the selection of the type and weight of animals, the number of animals, the grazing duration, and the forage species in the field. The user identifies the type and weight of animals by selecting the proper row in the Grazing-N application matrix. The matrix allows selection of heifers between 330 and 1430 lbs, and dry cows with a user-defined weight. The user enters the number of animals (An), the days of grazing (Gz), and the size of the forage field (Fd; acres). The model will validate that the forage fields carrying capacity exceeds the forage requirements for the specified groups of animals. If the CCcalc is higher than the entered carrying capacity (CCentered), the application warns the user. In some circumstances, exceeding CC is allowable for a short period of time when it is done with the intention of consuming accumulated for age growth.

    The Nremoval is expressed in lbs/acre for the entire grazing period. To calculate Nremoval, the net balance (Nnet) is multiplied by the number of animals (An) and the days of grazing (Gz), then divided by the number of acres in the forage fields (Fd). This is represented in Equation 5.

        Nremoval = (Nnet × An × Gz) / Fd (lbs/acre/grazing period) [5]

    The total N removal (Total-Nremoval) is calculated by adding all N removal activities (i) of different group of animals, for different grazing periods, on the same forage field (Equation 6).

        [6]

      Where n is a group of animals grazing on the same forage field.

    Feed supplementation

    It is common to provide supplemental feed to grazing heifers and dry cows. The Grazing-N application allows adjustment for supplementation activity. For simplicity, it is assumed that the supplemented N would provide the same amount of N that otherwise would be ingested through grazing. The user needs to know the N content of the supplemented feed (Nsupplement), which will reduce the earlier calculated value for Nintake and re-calculate the N balance in the grazing system. This is represented in Equation 7.

        Nintake = Nintake - Nsupplement [7]

    Some Applications Using Grazing-N and Discussion

    Following are the results of calculations performed using the Grazing-N application.

    Nitrogen balances with default input data

    Maximum carrying capacities and levels of removal of N (Nnet) in grazing programs lasting 180 days were calculated using the model default values (Table 2) without feed supplementation. Results for all heifer groups and dry cows are shown in Figure 1.

    Table 2. Parameters of Grazing-N, their default values and normal ranges used in Grazing-N.

    Parameter Units Default Normal Range
    BW heifers lbs --- 330-1430
    BW dry cows lbs 1600 1400-1800
    ADG heifers lbs/day 1.98 1.1-2.43
    DMI dry cows lbs 28.8 28.8-33.6
    CP forage % 26.5 20.9-32.1
    N volatilized % 50% 20-80%
    DM forage yield tons/acre/month 0.75 0.375-1.125

    Fig. 1: Graph of nitrogen removal for different groups of heifers and dry cows at maximum carrying capacity for a period of 180 days.

    Figure 1. Removal of N for different groups of heifers and dry cows at maximum carrying capacity for a period of 180 days.

    Sensitivity of N Balances to Custom Parameters

    Sensitivity to DMI
    Predicted dry matter intake is used in the model to estimate N intake. However, changes in dry matter intake yielded only marginal changes in the predicted N balances. For heifers, changing ADG from 1.1 to 2.4 lbs/animal/day (default ADG is 1.8 lbs/day) changed N balance by only 0.34% for 330-lb unbred animals and 0.02% for 1430-lb bred animals. For dry cows, the N balance changed by 4.34% when the DMI was increased from 1.8% (default) to 2.1%.

    Sensitivity to percentage of crude protein on forage
    The protein content of the forage is important because the model uses forage protein content to calculate N uptake by plants and N consumed by the animals. Changing the default content of protein from 26.5% to 20.9% resulted in a decrease in N balance of 24% for unbred heifers, 25% for bred heifers, and 28% for dry cows. Changing the protein to 32% resulted in the same magnitude of change, but in the opposite direction.

    Sensitivity to percentage of volatilization
    Volatilization of N to the air has a direct impact on N balance. The more N is volatilized, the more negative the N balance, or the higher the amount of N needed to replenish the soil. The proportion of N balance change is 3% for unbred heifers, 4% for bred heifers, and 6% for dry cows for every 10% change in N volatilization.

    Sensitivity to forage production
    Forage productivity or biomass accumulation determines the carrying capacity of animals per forage field. Increasing forage production increases the capacity of the field to sustain animals and their accompanying N removal. Changes in DM production impact the carrying capacity, which is translated to the same proportion change in the N balance.

    Sensitivity to diet supplementation
    Diet supplementation will impact N balances inversely. For every supplementation of 10% of the daily N requirement, the N removal will decrease 11.5% for unbred heifers, 12.0% for bred heifers, and 13.0% for dry cows.

    Conclusions

    A computer application (Grazing-N) has been created and is available for use by dairy farmers, consultants, and officials. The model and its user manual can be accessed at: http://dairy.nmsu.edu under the tools section. Grazing-N is a user-friendly spreadsheet that calculates N removal by intensively managed grazing dairy heifers and grazing dry cows. Grazing N demonstrates that intensive grazing systems may require between 290 and 335 lbs of additional N to replenish N removed by grazing animals in a six-month period. The N balance in a grazing system is impacted by the following conditions, in decreasing order: percentage of CP in forage, percentage of N volatilization after excretion, feed supplementation, dry matter biomass production by the forage, and dry matter intake of animals. It is important to keep in mind, when approaching the maximum carrying capacity of a piece of land, that smaller heifers remove more N than larger ones and dry cows less N than heifers.

    References

    Cabrera, V.E., Hagevoort, R. 2006. Importance of the New Mexico dairy industry. Agricultural Science Center at Clovis. College of Agriculture and Home Economics. New Mexico State University. Available at: http://dairy.nmsu.edu.

    Cabrera, V.E., Kirksey, R., Hagevoort, R. 2006. NM-Manure: A Seasonal Prediction Model of Manure Excretion for Lactating Dairy Cows in New Mexico. Available at: http://dairy.nmsu.edu.

    Haynes, R.J., Williams, P.H. 1993. Nutrient cycling and soil fertility in the grazed pasture ecosystem. Advanced Agronomy 49, 119-199.

    Hossain, I., Epplin, F., Horn, G., Krenzer, E. 2004. Wheat production and management practices used by Oklahoma grain and livestock producers. Oklahoma Agricultural Experimental Station, B-818. Oklahoma State University, Stillwater.

    Lopez, R., Krehbiel, C., Duncan, K., Hanson, E., Thomas, M., Looper, M., Castellanos, E., Donart, G., Barnes, C., Flynn, R. 2000. Influence of grass-legume pastures on forage availability and growth performance of Holstein heifers. Proceedings Western Section America Society of Animal Science, 51-2000.

    National Research Council (NRC). 2001. Nutrient requirement of dairy cattle. 7th rev. ed. National Research Council, Washington, DC.: National Academy Press. Available at: http://www.nap.edu/openbook.php?isbn=0309069971.

    Stout, W.L. 1995. Evaluating the added nitrogen interaction effect in forage grasses. Communications in Soils Science and Plant Analysis 26(17-18), 2829-2841.

    United States Department of Agriculture (USDA). 1992. Agricultural Waste Management Field Handbook, Chapter 4: Agricultural Waste Characteristics. 210-VI-NEH- 651.04. Soil Conservation Service, Washington, DC. Available at: http://directives.sc.egov.usda.gov/OpenNonWebContent.aspx?content=17768.wba

    Van Horn, H.H., Newton, G.L., Nordstedt, R.A., French, E.C., Kidder, G.K., Graetz, D.A., Chambliss, C.G., 1998. Dairy manure management: strategies for recycling nutrients to recover fertilizer value and avoid environmental pollution. Florida Coop. Ext. Serv. Circ. 1016. University of Florida, Gainesville, FL. Available at: http://edis.ifas.ufl.edu/DS096.

    White, S.L., Sheffield, R.E., Washburn, S.P., King, L.D., Green, J.T. 2001. Spatial and time distribution of dairy cattle excreta in an intensive pasture system. Journal of Environmental Quality 30, 2180-2187.


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