New milk mid-ftir metrics for dairy cattle management

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New milk mid-ftir metrics for dairy cattle management Dave Barbano 1, Caterina Melilli 1, Tom Overton 1, Melissa Woolpert 2, Heather Dann 2, and Rick Grant 2 1 Cornell University, Ithaca, NY 2 W. H. Miner Agricultural Institute, Chazy, NY ICAR Meeting Krakow, Poland June 2015

Outline

Outline Overall Vision Develop new tools in milk analysis for bulk tank and individual cow milks that will support decision making for management of feeding, health and reproduction in dairy cows.

Outline Overall Vision Milk fat synthesis (denovo, mixed origin, preformed)

Milk Fat Structure 3 fatty acids per triglyceride

Fatty Acid Categories De novo Mixed Preformed C 4:0 C 6:0 C 8:0 C 10:0 Short chain 18-30% C 12:0 C 14:0 C 14:1 C 16:0 C 16:1 35-40% C 18:0 C 18:1 Long chain 30-45% C 18:2

De Novo Fatty Acid Synthesis Feed Rumen fermentation acetat e butyrate De novo synthesis Milk fat

Preformed Fatty Acids Dietary fat Adipose NEFA and chylomicron Feed LPL Preformed FA Milk fat

Outline Overall Vision Milk fat synthesis (denovo, mixed origin, preformed) Milk fatty acid analysis

Outline Milk fat synthesis (denovo, mixed origin, preformed) Milk fatty acid analysis Objectives of our work

Objectives 1. To measure fatty acid composition of milk fat for 430 individual herds in the St. Albans Cooperative using new advanced calibration methods for infrared milk analysis over a 15 month period. 2. To determine if there is a correlation between milk fatty acid composition and bulk tank milk fat and protein concentration.

St. Albans Survey Structure Data from 430 farms Bulk tank milk samples tested 3 up to 20 times per month per farm Infrared milk analysis for components and fatty acid composition. GLC analysis of selected samples for periodic validation of the IR calibration. Means for each farm calculated by month Farm Data Organized in 2 groups: Jersey and Other (almost totally Holstein)

Infrared milk analysis Manual FTIR currently used at St. Albans - Delta Instruments Model FTA, Drachten, The Netherlands Fatty acid calibration was done once per month with samples produced at Cornell. The is instrument about 50 to 70 samples per hour for components, NPN/urea, and all fatty acid parameters. The automated model runs 600 samples per hour.

Outline

Survey Results June 2012 August 2013 DeNovo Fatty Acids

Survey Results June 2012 August 2013

Survey Results July 2012 August 2013 Mixed Origin Fatty Acids

Survey Results June 2012 August 2013

Survey Results July 2012 August 2013 Preformed Fatty Acids

Survey Results June 2012 August 2013

Outline

Survey Results June 2012 August 2013

Main Conclusions from Survey The strongest correlation between milk fatty acid composition and the concentration of fat and protein in milk was with DeNovo fatty acids production. Thus, feeding and farm management strategies that produce an increase in synthesis of DeNovo fatty acids may produce an increase milk fat and milk protein percentage and possibly output of fat and protein per cow per day.

Outline

40 Farm Study 2014 Collaboration: Cornell, Miner Institute, St. Albans Cooperative, Delta Instruments 1. Sort all 430 farm data from low to high values for DeNovo as a percentage of total fatty within the Jersey group of farms and within the Holstein group of farms. 2. Select 10 Jersey farms with low DeNovo and 10 Jersey farms that have high DeNovo fatty acids. 3. Select 10 Holstein farms with low DeNovo and 10 Holstein farms that have high DeNovo fatty acids.

Milk Composition:June 2012 August 2013 Mean Relative Milk Fatty Acid Composition for each Group of 10 farms for the 15 month period: DeNovo, Mixed Origin, and Preformed Fatty Acids St Albans June 2012 through August 2013 %m/m %m/m Rel % Rel % Rel % Breed Group Fat True Protein Denovo Mixed Preformed Holstein Low DeNovo 3.623 2.993 24.080 33.971 41.949 Holstein High DeNovo 3.975 3.148 26.076 35.082 38.842 Jersey Low DeNovo 3.917 3.093 25.037 33.352 41.611 Jersey High DeNovo 4.804 3.616 27.414 34.623 37.963

Milk Composition:June 2012 August 2013 Mean Relative % Denovo Fatty Acids within each Group of 10 Farms average for the 15 month period DeNovo Fatty Acids as Percent of Total Fatty Acids Farm LDN - H HDN - H LDN - J HDN - J 1 24.13 27.00 26.11 27.11 2 21.89 25.67 24.70 27.97 3 24.43 25.83 23.75 26.86 4 24.27 25.28 23.80 27.43 5 24.81 26.22 26.50 28.50 6 23.48 26.83 25.42 27.51 7 24.74 25.68 25.46 26.89 8 23.62 25.46 26.44 26.85 9 24.67 25.60 22.73 27.12 10 24.82 27.21 25.47 27.89 Mean 24.08 26.08 25.04 27.41

Pre-study data: June 2012 August 2013

Pre-study data: June 2012 August 2013

Results of First 40 Farm Study Milk (26.3 vs 22.7 kg/d, SE=1.3, P=0.06), fat (1.1 vs 0.9 kg/d, SE=0.1, P<0.01), true protein (0.9 vs 0.7 kg/d, SE<0.1, P<0.01), and de novo FA (25.6 vs 23.7 relative %, SE=0.2, P<0.01) were higher for high versus low DeNovo farms, respectively. The gross difference in farm income from milk between the low and high DeNovo fatty acid farms was approximately $30,000 per year per 100 cows with higher income for the high DeNovo fatty acid farms.

Outline

Future Directions Bulk Tank Milk Testing feed utilization (fatty acids) milk fat depression index

Future Directions Individual cow real-time milk testing for precision farm management of feeding, health, and reproduction.

Future Directions Blood Chemistry Measures (done on MILK!!! Every milking???) Blood NEFA Blood BHB Milk NPN/MUN Use: Predict Ketosis, DA, acidosis, and reproductive performance Management Indices on Individual Cows

Future Directions Efficiency of Feed Utilization and Rumen Function DeNovo fatty acid synthesis Proportion of C16:0 from DeNovo vs Preformed C16:0 Total trans fatty acid level Ratio of C18:1 trans 10 to C18:1 trans 11 fatty acid?? Targeted, automated, feeding of concentrates to individual cows based on need to support each cow s unique nutritional requirements based on production output.

Acknowledgments The lab staff at St. Albans Cooperative for running the infrared testing of fatty acid composition of the milk fat for the milks from 430 farms. Delta Instruments for technical support in development of fatty acid calibration models and equipment trouble shooting. The UDSA Federal Milk Markets for support of the development of improved milk testing methods. Miner Institute for collaboration in farm field studies. Larry Chase for advice, insight, and encouragement.