New DHIA Tools for Benchmark Comparisons of Production, Reproduction and Udder Health The DairyMetrics Program from DRMS Daniel W. Webb University of Florid a Dairy Herd Improvement (DHI) records have been collected and summarized for over seventy years. Resulting information has been utilized for individual herd and cow management, genetic evaluation of bulls and promotion of breeding stock. More recently, herd owners and managers have compared their herd's performance to that of other herds or to desired benchmarks. A new program offered by Dairy Records Management Systems (DRMS) uses internet technology to automate DHI herd benchmarking. This program is called DairyMetrics and is available now from www.drms.org. Authorized users can sign on and compar e their herd to groups of herds selected from those whose records are processed at DRMS. Additional information on DairyMetrics is provided on the next page, entitled Product Launch Review. An example of a DairyMetrics report is shown on the following pages. In this example, the University of Florida herd is compared to 397 herds located in Alabama, Georgia and Florida. A total of 73 herd parameters are compared with the average, number of herds, standard deviation, lowest herd, highest herd and percentile rank. Data are presented in five categories : GEN RAL, PRODUCTION, REPRODUCTION, GENETICS AND UDDER HEALTH. In this example,under PRODUCTION, the University Herd has a rolling herd average (RH A Milk) of 22,016, compared to 17,329, the average of 397 herds. This puts the University Herd in the 94 percentile (only 6% of the herds are higher). The standard deviation is 3031 lbs which expresses the variability of the herds in the average. In UDDER HEALTH, Actual somatic cell count (SCC) is 391, compared to and average of 399 in 237 herds. This puts the University Herd in the 53 percentile (53% of the herds are lower). The lowest herd has a SCC of 101, the highest herd is 1,334. Future modifications planned for DairyMetrics include the ability to select herds for a group comparison and storage of selection criteria to make future runs less burdensome. 32
Product Launch Revie w 1-800-344-3772 / www.drms.org April 200 1 DAIRY /RECORD S MANAGEMENT SYSTEMS Performance Evaluation Using DairyMetrics How am I doing? There are many ways to measure performance - comparison against standards proposed by the experts, comparison against your past performance or comparison agains t others. Regardless of the method, almost everyone needs to know how they are doing so they can identify weaknesses and acknowledge improvements. Performance evaluation is used in all facets of life including sports, financial analysis, and consumer comparisons. Comparison analysis can also be used to evaluate dairy manager performance. DairyMetrics, a web-based syste m from DRMS, enables producers and consultants to benchmark a herd's performance with the performance of othe r herds (cohorts). Managers can compar e a herd's information relative to herds in a similar "state" or to herds in a desirable "state." Run Report I Clear Cnecks) Comparative analysis wit h DairyMetrics enables you to answer many questions, such as: What is a "normal" number o f breedings in Kansas? Compared to other 500-cow herds, am I culling too much? If I switch from 2x to 3x, what is a reasonable income / feed cost? Last year I lost 8% of my herd to death. What are others doing? How many abortions do 1000-co w herds in the Midwest have? Suppose I move to Kansas an d expand to 600 cows, what reproductive factors are normal? Are my heifers calving at the sam e age as other 400-cow herds? You can begin to see the benefits! The DairyMetrics database is updated nightly and includes information from 3 * Rolling Herd Average Milk O 20000 to 21999 Benchmark Another Herd 0 222000 to 23999 D 24000 to 25999 q 26000 to2799 9 [J 2ao o'ndgre"er El General E] Production / Bermg Herd Average Mac Roffmg Had Average Fat Boring Herd Average Protein Ten Day Duly Mar. Mdk Cows Ten Day DailyMac.ACCowl Tnnt Dav Daily Fat X Afl Cows = 0 18000 or lea ( pear Rolling Herd Average Milk 0599 and Less Producers who send their DHI A data to DRMS must know their 8-digit herd code number, 4-digit Remote Ac cess Code. You will be asked to provide a personal password. Producer s who do not send their data to DRM S can sign up as a consultant. Consultants must have an accoun t with DRMS and must know the herd's code and 4-digit Remote Access Cod e or use "no herd.". DairyMetrics can be accesse d from www.drms.org. '7 by applying filters - a herd is compared to herds with a Rolling Herd Average Milk from 22,000 to 25,999. 55999999 55999999 Selected Data Percentile 0200-699 245 42 45% * 77% * 68% '7 80.1 TD Milk - Milk cows SCC Score SCC score for 1st last cows * Lower is optimum DairyMetrics is free until April 30. Rolling Herd Average Fat Choose cohorts Number of cows PCT cows left herd PCT cows left herd - Died. almost 14,000 herds that are routinel y processed by DRMS. DairyMetrics filters are used to identify cohort herds. Example filters include: only Holsteins, 2x milking, 200-499 cows, summit milk on 1st lac tation cows over 85, and SC C <200,000. Eighty-five filters and item s can be displayed from the areas o f General, Production, Udder Health, Reproduction and Genetics. Costs : Producers are charged $ 5 monthly for unlimited access ; consultants are charged $150 for 100 accesse s or for one year, whichever comes first.. 31 2.8 95% *. 56% * 61% Number of Herds Average ofherds Std Dev Lowest Herd Highes t Herd 1009 989 989 1006 844 812 294 37 7 63.6 3.1 2.7 91 200 2 0 30.0 2.1 0.9 597 68 61 97. 1 5.4 5.0 Example information for Holstein herds milked 2X with 200-699 cows 15 5 11.1 0.7. 0.7
DairyMetrics Report for UNIV FLA DAIRY RESEARCH May 15, 2001-58010024, 58010029 yd'`nta g; tip.&f4eitlle, GENERAL Numbe r of.her`ds Average St d offlerds Dcv Lowes t Herd. 'Highest- Herd's Number of Cows 567 83% 397 337 429 20 3639 Year change Number of Cows -68 6% 307-1 134-2020 559 Num of 1st Lact Cows 201 82% 396 128 179 1 1428 Num of 2nd Lad Cows 177 86% 396 93 123 1 1075 Num of3rd+lact Cows 189 85% 395 118 149 1 1384 PCT in milk on test day 92 61% 397 90 7 56 100 Days in milk 216.79% 397 197 35 107 39 9 Age of 1st Lactation cows 24.13% 396 27 2 22 35 PCT cows left herd 41 *67% 378 38 12 9 94 PCT cows left herd-died 5 427% 382 8 5 0 48 Daily VOP-Milk Cows 12.87 96% 397 9.35 1.78 3.70 14.7 5 Daily TFC-Milk Cows 3.26 45% 186 3.28 0.66 2.04 6.8 1 Daily IOFC-Milk Cows 9.61 97% 201 6.32 1.67 2.38 11.0 2 Daily FCPC Milk-Milk Cows 4.29 19% 194 5.38 1.28 1.25 10.9 4 Current Milk Blend Price 16.75 77% 397 15.86 1.08 12.50 18.3 6 PRODUCTION RHA Milk 22016 94% 380 17329 3031 10086 2643 9 Year Change in RHA Milk 986 81% 300 68 1175-5105 455 0 RHA Protein 666 90% 202 552 91 317 815 RHAFaI 804 95% 204 628 117 330 95 0 TD Milk-Milk Cows 76.1 94% 395 59.8 10.0 31.0 87.8 TD Milk-All Cows 70.0 94% 389 54.4 10.2 30.7 84. 7 TD PCT Fat 3.7 82% 250 3.4 0.4 2.2 Si TD PCT Protein 2.9 29% 250 3.1 0.2 2.6 3. 8 Summit 1st lactation 84 94% 390 67 11 37 92 Summit 2nd lactation 101 95% 394 80 13 36 115 Summit 3rd+ lactation 97 84% 394 85 13 46 119 Proj 305 day ME milk 23000 86% 397 19895 2997 10262 27336 STD 150 day milk 81.9 95% 396 63.5 10.9 31.6 94. 1 Baby Records Management Systems 34 www.dnns.org
58010029 58010029 Number Average Std Lovest Highes t fdai yt tetrics elected Data Percentile of Herds of Herds Deg nerd Ner d REPRODUCTION Proj min days open-total herd 176 *54% 394 179 41 93 35 1 Proj min calving interval-total herd 15 *56% 395 15 1 12 25 Current actual Calving interval 14.8 *72% 397 14.3 1.2 11.0 20.2 Days open-proj min-1st lact 213 *71% 396 196 64 68 62 1 Days open-proj min-2nd lact 161 *47% 388 170 41 74 315 Days open-proj min-3rd+ Tact 151 *34% 391 174 42 94 358 Voluntary Waiting Period(VWP) 70 99% 384 57 7 45 90 Days to 1st serv(%herd< than VWP) 18 *57% 392 19 15 0 74 Days to 1st serv(%herd(vwp to 100D) 76 94% 392 43 19 0 100 Days to 1st serv-(%herd> than 100D) 6 *4% 392 39 20 0 100 Days 1st Service-total herd 82 *21% 392 107 32 55 340 Con PCT for past 12M-1st service 26 14% 397 49 25 0 100 Con PCT for past 12M-2nd service 27 25% 397 42 26 0 100 Con PCT for past 12M-3rd+ service 17 11% 397 40 22 0 100 PCT of heats observed for year 51 85% 351 32 18 1 79 Number of abortion in past year 5 *91% 397 2 6 0 77 Number of calving in past year 534 87% 397 260 392 0 331 4 PCT Dry less than 40 days 17 *75% 383 12 11 1 74 PCT Dry more than 70 days 37 *59% 391 35 14 4 80 Dairy Records Management Systems 35 www.drms.org
5801002 158010029 I' Nuiitbe r Data Percentile I of Herds GENETICS Average Std Lowest Highes t of Herds Del; Herd Herd PCTile rank of proven Al sew bulls 52 59% 397 41 27 0 9 2 PCTile rank of young AI sery bulls 89 93% 397 36 39 0 9 9 PCT of herd bred to proven Al bulls 86 81% 397 49 36 0 100 PCT of herd bred to young bulls 14 77% 397 9 14 0 84 PCT of herd bred to non-al bulls 0 11% 397 40 40 0 10 0 Net Merit$ for 1st lactation cows 78 52% 215 71 89-381 484 Net Merit$ for replacements 165 92% 354 84 65-94 30 3 Net Merit$ for all cows 63 73% 293 4 100-442 23 1 PCT of replacements ID by sire 93 90% 354 49 34 0 10 0 PCT of cows identified by sire 49 61% 397 39 37 0 100 UDDER HEALTH SCC Actual 391 *53% 237 399 176 101 1334 SCC Score 3.3 *52% 239 3.3 0.7 1.8 5.4 PCT of all cows(sccs of 0-3) 61 69% 239 55 13 14 84 PCT of cows(<41d with SCCS >4) 24 *67% 388 17 21 0 10 0 PCT of 1st tact (SCCS of 0-3) 69 68% 238 63 13 16 100 PCT of 2nd lact (SCCS of 0-3) 63 68% 239 57 16 16 10 0 PCT of 3rd lact (SCCS of 0-3) 49 58% 237 46 15 0 9 0 PCT of cows culled for mastitis 3 *64% 382 3 4 0 2 8 SCC score for 1st lact cows 2.9 *44% 150 3.0 0.6 1.5 4. 7 SCC score for 2nd lact cows 3.1 *51% 149 3.2 0.6 1.5 4. 8 SCC score for 3rd lact cows 3.9 *53% 180 3.8 0.7 2.1 6.2 SCC score for cows 41-99 D 3.4 *76% 200 2.9 0.9 1.1 5. 7 SCC score for cows 101-199 D 2.9 *39% 222 3.1 0.7 1.5 5.4 SCC score for cows 200-305 D 3.3 *36% 206 3.6 0.7 2.0 5. 5 SCC score for cows 306+ D 3.9 *61% 202 3.8 0.7 1.5 5. 7 PCT VOP loss 2 *67% 397 2 2 0 16