Source: UNIV OF CALIFORNIA (VET-MED) submitted to NRP
QUANTIFYING NITROGEN, POTASSIUM AND PHOSPHORUS EXCRETION TO MANAGE NUTRIENT BALANCE ON DAIRIES
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
0224433
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Oct 1, 2010
Project End Date
Sep 30, 2015
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
UNIV OF CALIFORNIA (VET-MED)
(N/A)
DAVIS,CA 95616
Performing Department
Population Health & Reproduction
Non Technical Summary
How dairy cattle are fed, quality control of feeds, feed mixing and loss of feed sources due to spoilage, loading, weather, etc all affect the health and production of dairy cattle and profitability of a dairy. Feed losses directly contribute to the waste stream and increase the quantity of nutrients / salts needing to be managed through the manure management system. While many studies have been conducted on nutrient balance across an individual cow, few have attempted to quantify nutrient flow for a large dairy farm in a real production situation and none have compared the diet formulated to the diet fed and quantified the impact on milk and manure production. In order to create and use computer models of nutrient balance, variability of data in a production situation must be known. It is impossible to predict nutrient output in milk and the waste stream if nutrient inputs into the cows are unknown. For example, figure 1 shows preliminary (unpublished) observed data with standard deviations on nutrient flow through a manure waste stream and predicted nutrient flow for a dairy in California. While the computer model is able to predict average observed values, standard deviations on observed values are extremely high. The variability could be due to sampling issues, and / or due to variability in nutrient inputs. This project attempts to quantify variability due to nutrient inputs, i.e., nutrients that are intended to be fed in the diet compared to nutrients that are actually fed. These steps will impact the composition of ration that is fed to the cattle and will impact milk production, cow health, and nutrient excretion.
Animal Health Component
(N/A)
Research Effort Categories
Basic
(N/A)
Applied
(N/A)
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
3023410101080%
1330320310010%
3073499301010%
Goals / Objectives
GOAL This project quantifies variability in dairy cow production due to nutrient inputs, i.e., nutrients that are intended to be fed in the diet compared to nutrients that are actually fed. Changes in any one of the steps in feed amangement will impact the composition of ration that is fed to the cattle and will impact milk production, cow health, and nutrient excretion. OBJECTIVE 1. Quantify the difference between the ration fed to milking dairy cows and the ration that was formulated by the nutritionist. 2. Estimate the impact on dairy cow production and the nutrient waste stream caused by nutrient difference. OUTPUTS Expected impacts and outcomes are to identify critical control points ion feed management that will impact production and whole farm nutrient balance. The model and data from this project will be made available through extension programs, the dairy quality assurance program, and local veterinary organizations to educate professionals and producers on improving nutrient management on dairies. Expected outcomes are helping producers increase profits by decreasing feed and therefore nutrient waste.
Project Methods
Routine feed and total mixed ration analysis, analysis of refusals, production records, mixing and feeding records, feed inventory, manure grab samples, etc. from collaborator herds with VMTRC will be used to develop feed process system. Data will be analyzed using systems analysis to identify critical control points in feed management on a dairy. Final samples at the cow will be compared to nutrient delivery at the feed truck to estimate feed loss and compared to the ration formulation to estimate the difference between nutrients supplied to the cow (production) and predicted nutrients supplied to the cow (production). Nitrogen (N) and minerals from the ration, manure and milk will be used to estimate nutrient balance across the cow. In addition record keeping software such as EZFeed, FeedWatch, DHI Plus and Dairy Comp will be used to collect feeding and intake information that can be reconciled with milk production data. Data tracing feed ingredients and associated nutrients imported to the farm will be reconciled with estimates of feeds and nutrients as they move from point to point to the final ration offered and ration refusals, production and excretion by the cow. Differences between estimates of feed inventory at each point will indicate nutrients lost and identify which phases are critical control points for feed / nutrient loss during the feed storage and feeding processes. Data will be collected over a year for each dairy to include seasonal effects. Since feed management procedures and techniques vary between farms, a minimum of 3 farms will be included in the analysis. Outcomes generated from this research will be a flow chart that will conceptually and quantitatively describe nutrient loss across steps in the feed management system, prediction of where nutrients lost end up (i.e., waste stream, atmosphere, neighbors farm, etc) and identification of critical points in feed handling and storage procedures where the majority of nutrient loss occurs. Losses in nutrients imported on farm represent a loss in income and impact nutrient balance on a dairy farm. With current tools available, these losses can be quantified to determine their impact on feed management. This research attempts to determine the importance of feed loss (shrink), where it occurs and suggest how it can be managed.

Progress 10/01/10 to 09/30/15

Outputs
Target Audience: Nothing Reported Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? Nothing Reported How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

Impacts
What was accomplished under these goals? All goals were accomplished

Publications

  • Type: Journal Articles Status: Accepted Year Published: 2013 Citation: J. Dairy Sci. 96 :73717381 http://dx.doi.org/ 10.3168/jds.2013-7084


Progress 10/01/13 to 09/30/14

Outputs
Target Audience: Nothing Reported Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? Nothing Reported How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals? fundiing was requested to conduct a calcium balance study to examine if calcium excretion is significantly increased ue to DCAD diets.

Impacts
What was accomplished under these goals? For objective 1 an article was published on nutrient variability in dairy cattle in the journal of dairy science (2013) and numerous talks have been given based on its content to both producer, nutritionist, veterinarians and veterinary students (see previous reports). For objective 2, an MS thesis has been submitted and a publication is currently being prepared. and for objective 3 a publication is being prepared based on data collected to test the results presented in objective 1. However, objective 3 was not funded (in the past year)

Publications

  • Type: Other Status: Published Year Published: 2013 Citation: G. Acetoze, R. Kurzbard, J.J. Ramsey, K.C. Klasing, H.A. Rossow.(2013) Influence of mitochondrial function of broilers with and without growth enhancing levels of minerals supplementation during a coccidiosis challenge. American Society of Animal Science July 8-12. Abstract
  • Type: Other Status: Published Year Published: 2013 Citation: G. Acetoze, R. Kurzbard, J.J. Ramsey, K.C. Klasing, H.A. Rossow. (2013) Influence of mitochondrial function on feed efficiency of broilers with and without growth enhancing levels of minerals supplementation during a coccidiosis challenge. ISEP Sept.Abstract
  • Type: Other Status: Published Year Published: 2014 Citation: Acetoze, G., A.M. Gehman*, K.A. Dawson*, H.A. Rossow. (2014) Evaluation of mineral excretion of lactating Holstein dairy cows supplemented with Cobalt, Copper, Manganese and Zinc in organic and inorganic forms. American Dairy Science Assn. July 20-24. Abstract
  • Type: Theses/Dissertations Status: Published Year Published: 2014 Citation: Acetoze, G.A. (2014) Relationship between feed efficiency and mitochondrial efficiency with and without mineral supplementation. PhD Thesis, Animal Biology, UC Davis
  • Type: Theses/Dissertations Status: Published Year Published: 2014 Citation: Kalloway, L. (2014) Assessing the relationships between blood analytes and milk components of Holstein dairy cows during lactation on a commercial herd in Central California. MS Thesis, Nutrition, UC Davis


Progress 01/01/13 to 09/30/13

Outputs
Target Audience: Results have been presented to other researchers in the NC 2040 research group, feed growers and dairymen at a seminar given at an Extension sponsored meeting and presented in class to third and fourth year food animal veterinary students Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? This is the third chapter of a PhD thesis for Gabriela Acetoze. Data has been used to teach year 3 and year 4 veterinary students about actual diets and variation that are used on commerical dairies How have the results been disseminated to communities of interest? Results are disseminated through formal classes, Extension seminars and journal publications What do you plan to do during the next reporting period to accomplish the goals? We are continuing studying variation in nutrient supply but focussing on minerals and the relationships between form and amount of mineral fed and mineral excretion

Impacts
What was accomplished under these goals? Journal publication was published showing results of objectives 1 and 2. Data was also presented as previously described and is used in teaching veterinary students about nutrition on commercial dairy farms and has been presented to farmers and nutritionists at an extension meeting. In addition, data has been collected to explore mineral and N input and excretion in a sub sample of dairy cows on a commericial dairy farm. samples are currently being analyzed in the lab.

Publications

  • Type: Journal Articles Status: Published Year Published: 2013 Citation: http://dx.doi.org/ 10.3168/jds.2013-7084


Progress 01/01/12 to 12/31/12

Outputs
OUTPUTS: In July 2012 - September 2012 Two digestion trials were run comparing N and minerals in feed to manure (total collection) to compare high cow rations from two dairies. The six fistulated cows were used in the feeding trial. In addition, blood, urine and in situ digestion of particle sorted feed was measured to assess rumen function (disappearance, VFA and microbial protein production) during the digestion trial. Measurement of particle size digestion will be developed as a simple tool to estimate digestibility, a primary component of feed efficiency. Samples are currently being analyzed and results will be used to parameterize fecal output and rumen production within Molly the metabolic model of a dairy cow. This information will be used to predict inputs into the manure model which predicts N and P flow through different processing technologies on a dairy. Therefore the next step is to validate N and P flow for a dairy using the manure model. This will result in tools to help estimate Nutrient balance on individual dairies to aid in management of nutrient balance. From data collected on nutrient variation in the previous time period, a manuscript is being prepared and two talks on the results are scheduled to be given at a continiuing education seminar sponsored by food animal veterinary students in UC Davis FARM club, and to UC Davis Animal Science department. Since dry matter is the most variable nutrient and silage is the most variable feed, use of a desktop NIR, from John Deere, to estimate dry matter and protein in forages was compared to oven values and to estimate short term changes in silage dry matter with rain. PARTICIPANTS: Not relevant to this project. TARGET AUDIENCES: Target audiences are veterinarians, nutritionists and dairymen. By reporting variability associated with feeding management areas of improvement will be identified to reduce nutrient excretion and waste. . PROJECT MODIFICATIONS: Because there is variation in day to day nutrients fed and therefore it is difficult to estimate nutrient intake and therefore nutrient balance across a cow, the experiments were conducted using fistulated cows in a more controlled environment for total collections. However, diets from each dairy were still fed to the cows to compare nutrient digestibilities and balance for each dairy.

Impacts
2011-2012 Samples and data from the N and mineral digestion trial are currently being analyzed in preparation for a manuscript and presentation at the California Animal Nutrition Conference in the spring. Equations predicting dry matter changes in silage with rain were presented at American dairy science association meetings and discussions are underway with EZFeed (DHI Plius) on implementing the equations within their feed management software. Results were also presented at UCCE Silage Day, Modesto, CA 8/2012. "Timing Harvest for Silage Quality".

Publications

  • L. Kallaway, N. Falcony, T. Meister, H.A. Rossow. 2012. Dry matter changes in corn silage with rain. Abstract American Dairy Science Assn, Phoenix, AZ, July 15.


Progress 01/01/11 to 12/31/11

Outputs
OUTPUTS: In October-January of 2010-2011 and August 2011-October 2011, TMR ration and residual feed samples were collected for 7 weeks at 3 and 4 dairies in the Tulare area. These samples were analyzed for nutrient composition (protein, fiber, minerals, etc.). Rations formulated by the nutritionist and ration compositions mixed in the feed wagon were also collected to determine how much difference there was between what was intended to be fed and what was actually fed at each step. Four pens on each dairy were sampled: close up dry cows, early fresh cows, high cows and medium / high cows. Preliminary results from the first set of data (Oct-Jan 2010-2011) have just been analyzed. The data collected above was also used as ration inputs into two computer models of nutrient metabolism of a dairy cow to determine what the effects of under or over feeding would be on cow production and nutrient content of the waste stream. The models show deviations in milk, milk protein and fat with changes in nutrient supply that are not reflected in the actual milk numbers. The models predict weekly deviations but actual production numbers are based on monthly DHIA test values. Therefore there are impacts of feeding deviations on milk production that will not show up on monthly tests but could be reflected in poor health (lower body condition). Preliminary results were presented to veterinarians, nutritionist and industry representatives at a seminar entitled 'What nutrient balance means on the dairy'. Dairy Production Medicine Seminar Feb 7, 2011. Tulare CA PARTICIPANTS: Not relevant to this project. TARGET AUDIENCES: Target audiences are veterinarians, nutritionists and dairymen. By reporting variability associated with feeding management areas of improvement will be identified to reduce nutrient excretion and waste. Results were discussed individually with dairymen and their nutritionists involved in the project and were presented in a seminar to all three target audiences in february of last year. PROJECT MODIFICATIONS: Originally samples were to be collected over a years time but because funding was not obtained until late in the year and was required to be used in a very short period of time the project was modified to measure TMR changes during extremes in weather. Samples were collected during the fall / winter and then during the following summer.

Impacts
Based on these preliminary results, several feeding recommendations have been made to the dairies, presented in meetings and referenced in other popular press articles and presented in the above mentioned seminar. 1. Dry matter content of forages should be analysed more frequently and should be taken into account in ration formulation and mixing. 2. If whey is exchanged for water, formulations and feed loading should be adjusted to account for lower soluble protein, lactose and mineral content. Also water should not be added if not formulated into the ration. 3. Pen counts should be performed more often. Inaccurate pen counts lead to under- and overfeeding with negative implications for milk yield and animal health. 4. Mineral mixes should be adjusted to the complete diet including mineral content of the forage and water. Sodium and iron were consumed in up to two times the formulated amount. Also close up cows consumed more potassium and less chloride than formulated, despite intake of 10% more DCAD hay. Once the error associated with feeding and its impact on milk production has been assessed, the next step is to examine nutrient balance across the cow and pen for nitrogen, potassium and phosphorus. In order to accomplish this, nutrient intake and excretion must be estimated on individual cows to assess efficiency of nutrient use. Funds are being requested to continue this research by developing methods to quantify intake and excretion on individual cows in a commercial setting by using an indigestible marker associated with the feed (indigestible ADF and indigestible ash). In addition the paper described below was published illustrating current waste management practices on dairies to aid with developing a model on manure flow on a dairy. The nutrient balance data will be combined with the survey data to model inputs from feed management and nutrient balance for the manure model (nutrient content of the waste stream).

Publications

  • D. Meyer, P.L. Price, H.A. Rossow, N. Silva del Rio, B. Karle, P.H. Robinson, E.J. DePeters, and J. Fadel. (2011) Survey of dairy housing and manure management practices in California. Journal of Dairy Science 94:4744-4750.
  • H.A. Rossow, R.J. van Hoeij, G. Acetoze. 2011. Differences in nutrients formulated and nutrients supplied on three California Dairies. Journal of Dairy Science Abstract.