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Research Article| Volume 98, ISSUE 5, P3143-3151, May 2015

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Parasites and parasite management practices of organic and conventional dairy herds in Minnesota

Open ArchivePublished:February 25, 2015DOI:https://doi.org/10.3168/jds.2014-9031

      Abstract

      The objective of this study was to describe the prevalence and practices used to manage internal helminth parasites and external arthropod parasites on organic and conventional dairy herds in Minnesota. All organic (ORG) dairy herds in Minnesota (n = 114) and a convenience sample of conventional herds were invited to participate in the study. Thirty-five ORG herds and 28 conventional herds were visited once in summer and fall of 2012. Conventional dairy herds were split into small conventional (SC, < 200 cows) and medium-sized conventional herds (MC, ≥200 cows) so that SC herds were comparable in size to the ORG herds. Dairy managers were surveyed to assess their farm management practices and perceptions about parasites, hygiene scores were recorded for adult stock, and fecal samples were collected from a nominal 20 breeding-age heifers to characterize abundance of internal parasites. Nonparametric tests were used to compare fecal egg counts per gram (FEC) among farms grouped by management systems and practices. Organic farms had more designated pasture and were more likely to use rotational grazing compared with conventional farms, but the stocking densities of animals on pasture were similar among farm types. The overall FEC were very low, and only a few individual ORG heifers had FEC >500 eggs/gram. Samples from heifers on ORG farms had significantly more strongyle-type eggs than those on SC and MC farms (ORG: 6.6 ± 2.1; SC: 0.5 ± 0.3; MC: 0.8 ± 0.7), but egg counts of other types of gastrointestinal parasites did not differ significantly among the 3 herd groups. Fly control measures were applied mainly to milking cows and preweaned calves and were used on 88.6% of ORG herds, 60.0% of SC herds, and 91.7% of MC herds. Approximately half of the producers reported having seen skin conditions suggestive of lice or tail mange in their cattle during the previous winter (ORG: 48.6%, SC: 57.1%, MC: 53.9%). Although most conventional producers reported treating these skin conditions, most organic producers stated they had not treated them. In conclusion, gastrointestinal parasite egg counts were low overall at the time of the survey, and most surveyed producers did not perceive gastrointestinal parasites to be a problem for their animals’ health. Independent of the herd type, fly control was mostly targeted at the lactating herd and preweaned calves.

      Key words

      Introduction

      During the second half of the 20th century, many dairy farmers moved away from pasture-based housing systems and housed their dairy cows indoors year round. This shift in housing system decreased exposure of cattle to pasture-contaminating gastrointestinal (GI) parasites. In addition, development and use of pharmaceutical parasiticides decreased the likelihood of heavy parasite infestations and reduced related production losses (
      • Fox M.T.
      • Hutchinson M.
      • Riddle A.
      • Forbes A.B.
      Epidemiology of subclinical dairy cow nematode infections on five farms in England in 2002 and a comparison with results from 1978 to 1979.
      ).
      In contrast, organic (ORG) dairying has increased in the United States over the past decade. Between 2000 and 2008, the number of organically managed cows in the United States increased 6-fold, from 38,196 to 249,766 dairy cows (

      ERS (Economic Research Service). 2013. Table 2. U.S. Certified organic farmland acreage, livestock numbers, and farm operations. Accessed Feb. 10, 2015. http://www.ers.usda.gov/data-products/organic-production.aspx

      ). The Agricultural Marketing Service of the USDA oversees the National Organic Program (NOP) and specifies requirements for ORG production (USDA-AMS, 2012). The NOP rules prohibit the use of hormones and antibiotics, including ionophores, and require that ruminants over 6 mo of age receive at least 30% of their DMI from pasture during a minimum grazing season of 120 d per year. The NOP also specifically states that a producer must not withhold effective treatment (e.g., antimicrobials) solely to maintain the organic status of the animal. If an animal requires treatment that is not explicitly allowed under NOP regulations, then the animal has to be removed from the farm in a timely manner and its milk or meat can never be sold as organic. Furthermore, parasiticides must never be used on a routine basis, but 3 substances may be used as emergency treatments; that is, if preventive management practices fail. In that instance, the organic certifier has to approve the use of these parasiticides for that particular farm before they can be used. If they are used without the certifier’s approval, the animals and farm will lose their organic status. Ivermectin has been on the list of approved dewormers since the original rules were adopted, and fenbendazole and moxidectin were added in 2012. The 3 substances are allowed for use in dairy and breeding stock, but are not allowed for slaughter stock, during lactation, or in the last trimester of gestation in breeding stock.
      Compared with conventional herd management practices, the pasture requirement and limited use of parasiticides specified in the NOP rules have the potential to increase the prevalence of GI parasites in organically managed dairy herds. Given a general lack of knowledge about the prevalence of internal and external parasites among dairy herds in the upper Midwest, we conducted the present study to describe and compare the management practices and occurrence of internal helminth parasites and external arthropod parasites on conventional and ORG dairy farms in Minnesota. We hypothesized that ORG herds would have higher fecal egg counts than conventional herds.

      Materials and Methods

      In spring 2012, all ORG dairy farms (n = 114) in Minnesota were invited to participate in the study. In addition, a convenience sample of neighboring conventional farms was enrolled for comparison. The conventional farms participated in DHIA, raised their own replacement heifers, and housed cows either on pasture or in confinement.

      Farm Characteristics

      Enrolled farms were visited once in 2012 to administer a questionnaire about general herd management practices, types of animal housing, frequency of disease events, perceptions of disease importance, and treatments used for internal and external parasite control. The questionnaire was largely based on 3 different National Animal Health Monitoring questionnaires from the Dairy 2007 study (General Dairy Management Report, Veterinary Services Initial Survey, and Veterinary Services Second Visit). The study and survey protocol were approved by the University of Minnesota’s Institutional Animal Care and Use Committee (protocol #1111B06824). A copy of the full survey instrument can be obtained from the corresponding author upon request. Results concerning parasites and parasite management will be summarized in the present report, and further aspects of animal housing and frequency of disease events will be summarized elsewhere.

      Fecal Samples and Hygiene Scores

      At time of visit, fecal samples were collected rectally or from freshly passed dung from a nominal 20 breeding-age heifers per farm (
      • Gasbarre L.C.
      • Leighton E.A.
      • Bryant D.
      Reliability of a single fecal egg per gram determination as a measure of individual and herd values for trichostrongyle nematodes of cattle.
      ). Gastrointestinal parasites were extracted using the Wisconsin sugar float method (
      • Bliss D.H.
      • Kvasnicka W.G.
      The fecal examination: A missing link in food animal practice.
      ). Samples were scored for presence of coccidial oocysts. Eggs of helminth nematodes, cestodes, and trematodes were identified to family or genus and counted. Additionally, mature cows, both dry and milking, or approximately 20% thereof, were examined during the farm visits and rated for cleanliness, using a hygiene scoring system with scale of 1 for clean to 4 for extremely dirty (
      FARM
      The National Dairy Farmers Assuring Responsible Management: Animal Care Reference Manual.
      ).

      Statistical Analysis

      Data at the herd level were analyzed in SAS 9.4 (SAS Institute Inc., Cary, NC). Dairy farms were grouped for comparison into 3 types: ORG, small conventional herds (SC, < 200 mature cows) and medium-sized conventional herds (MC, ≥ 200 mature cows). Mature cows included both dry and milking cows, and conventional herds were split by size so that SC herds were similar in size to the ORG herds. Furthermore, herds with strip, mob, and rotational grazing were combined as rotational grazing and compared with herds that used conventional grazing or housed cattle indoors. Categorical variables were summarized using frequency statistics (PROC FREQ). Fecal egg counts among heifers at each of 60 sampled farms were examined graphically with box-whisker plots ranked by medians within and among herd types, using the boxplot procedure in R (
      R Core Team
      R: A language and environment for statistical computing.
      ). Average fecal egg counts [FEC in eggs/g offeces (epg)] were calculated as geometric mean for heifers in each herd, and a Kruskal-Wallis test was used to compare median geometric mean among herds in the 3 dairy types, followed by Mann-Whitney U-tests for pairwise comparisons (e.g., Tables 1 and 3). Associations among herd types and categorical variables were assessed with Fisher’s exact tests, first across all 3 herd types, and then followed by pairwise comparisons if differences (P < 0.1) were initially found among herd types (e.g., Tables 1, 2, 4, and 5). Spearman correlation coefficients were used to assess associations between continuous variables (PROC CORR Spearman). The significance level was set at α = 0.05.
      Table 1Median values (25th–75th quartiles in parentheses) for characteristics or percentages of 63 Minnesota dairies on day of visit in June to November 2012
      CharacteristicHerd type
      ORG=organic herds, SC=small conventional herds (<200 dry and milking cows), and MC=medium-sized conventional herds (≥200 cows). P-values are for differences in medians among the 3 herd types, based on Kruskal-Wallis tests (α=0.05). Medians in the same row with different superscripts judged significantly different by pairwise Mann-Whitney U-test comparisons (α=0.05).
      P-value
      P-values for differences in overall percentages among the 3 herd types based on Fisher’s exact test (α=0.05).
      ORGSCMC
      Herds (no.)351513
      Milking cows (no.)68 (42–110)
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      57 (50–84)
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      285 (195–383)
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      <0.01
      Rolling herd average (kg)6,363
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      10,363
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      11,363
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      <0.01
      (5,522–7,272)(8,572–11,876)(10,681–11,710)
      Most current BTSCC
      Bulk tank SCC.
      (103 × cells/mL)
      300 (225–330)
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      226 (162–282)
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      220 (173–240)
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      0.03
      Hygiene score ≥3 (% of cows)16.7 (7.1–29.6)19.6 (14.5–26.9)12.8 (3.0–44.0)0.57
      Access to pasture (% of herds)
       Lactating herd100
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      46.7
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      7.7
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      <0.01
       Dry cows97.1
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      73.3
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      30.8
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      <0.01
       Weaned heifers100
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      80.0
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      38.5
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      <0.01
      Pasture management (% of herds with pasture access)<0.01
       Rotational100
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      23.1
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
      0
      Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α=0.05).
       Continuous076.9100
      Pasture stocking density (cows/ha)
       Lactating cows12 (2.4–24.3)6.1 (2.4–6.8)3.2 (3.2–3.2)0.37
       Dry cows12 (2.4–24.3)6.1 (2.4–6.8)3.2 (3.2–3.2)0.37
       Heifers0.8 (0.4–4.0)2.0 (1.2–2.8)3.2 (2.4–4.0)0.25
      a–c Values in the same row with different superscripts were significantly different with pairwise Fisher’s exact tests (α = 0.05).
      1 ORG = organic herds, SC = small conventional herds (<200 dry and milking cows), and MC = medium-sized conventional herds (≥200 cows). P-values are for differences in medians among the 3 herd types, based on Kruskal-Wallis tests (α = 0.05). Medians in the same row with different superscripts judged significantly different by pairwise Mann-Whitney U-test comparisons (α = 0.05).
      2 P-values for differences in overall percentages among the 3 herd types based on Fisher’s exact test (α = 0.05).
      3 Bulk tank SCC.
      Table 2Percentages of farms with gastrointestinal parasites of different types detected in heifer fecal samples, by dairy type
      Gastrointestinal

      parasite eggs
      Herd type
      ORG=organic herds (n=33), SC=small conventional herds (<200 cows, n=15), MC=medium-sized conventional herds (≥200 mature cows, n=12).
      OverallP-value
      P-values are for differences in overall percentages among the 3 herd types, based on Fisher’s exact test (α=0.05).
      ORGSCMC
      Eimeria9410010097>0.99
      Strongyle100
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      80
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      67
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      88<0.01
      Trichuris52
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      67
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      92
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      630.04
      Nematodirus426750500.28
      Moniezia68
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      7
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      8
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      42<0.01
      Strongyloides16131715>0.99
      Capillaria1678120.66
      Dictyocaulus1900100.08
      Buxtonella7705>0.99
      a,b Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α = 0.05).
      1 ORG = organic herds (n = 33), SC = small conventional herds (<200 cows, n = 15), MC = medium-sized conventional herds (≥200 mature cows, n = 12).
      2 P-values are for differences in overall percentages among the 3 herd types, based on Fisher’s exact test (α = 0.05).
      Table 3Median percentages (and 25th–75th quartiles) of heifers with detectable numbers of gastrointestinal parasite eggs in fecal samples, by parasite and dairy type
      Gastrointestinal

      parasite eggs
      Herd type
      ORG=organic herds (n=33), SC=small conventional herds (<200 dry and milking, n=15), and MC=medium-sized conventional herds (≥200 mature cows, n=12).
      P-value
      P-values are for overall differences in median percentages among the 3 herd types, based on Kruskal-Wallis tests (α=0.05).
      ORGSCMC
      Strongyle100 (93–100)
      Frequencies in the same row with different superscripts were significantly different by Mann-Whitney U tests (α=0.05).
      69 (6–95)
      Frequencies in the same row with different superscripts were significantly different by Mann-Whitney U tests (α=0.05).
      18 (0–29)
      Frequencies in the same row with different superscripts were significantly different by Mann-Whitney U tests (α=0.05).
      <0.01
      Trichuris5 (0–7)
      Frequencies in the same row with different superscripts were significantly different by Mann-Whitney U tests (α=0.05).
      5 (0–10)
      Frequencies in the same row with different superscripts were significantly different by Mann-Whitney U tests (α=0.05).
      13 (5–30)
      Frequencies in the same row with different superscripts were significantly different by Mann-Whitney U tests (α=0.05).
      <0.01
      Nematodirus0 (0–15)6 (0–23)3 (0–10)0.44
      Moniezia7 (0–20)
      Frequencies in the same row with different superscripts were significantly different by Mann-Whitney U tests (α=0.05).
      0
      Frequencies in the same row with different superscripts were significantly different by Mann-Whitney U tests (α=0.05).
      0
      Frequencies in the same row with different superscripts were significantly different by Mann-Whitney U tests (α=0.05).
      <0.01
      Strongyloides0000.97
      Capillaria0000.57
      Dictyocaulus000>0.99
      Buxtonella0000.68
      a–c Frequencies in the same row with different superscripts were significantly different by Mann-Whitney U tests (α = 0.05).
      1 ORG = organic herds (n = 33), SC = small conventional herds (<200 dry and milking, n = 15), and MC = medium-sized conventional herds (≥200 mature cows, n = 12).
      2 P-values are for overall differences in median percentages among the 3 herd types, based on Kruskal-Wallis tests (α = 0.05).
      Table 4Percentages of herds diagnosed with different gastrointestinal parasites, grouped by access to pasture for heifers and management style
      Gastrointestinal

      parasite eggs
      Herd type
      Organic (n=33); Pasture access=conventional herds on summer pasture (n=13); Indoor=conventional herds with heifers housed indoors during summer (n=10).
      P-value
      P-values are for differences in overall percentages among the 3 herd types, based on Fisher’s exact test (α=0.05).
      OrganicPasture access

      conventional
      Indoor,

      conventional
      Strongyle100
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      94
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      40
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      <0.01
      Trichuris52
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      65
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      100
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      0.02
      Nematodirus42
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      82
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      20
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      <0.01
      Moniezia70
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      12
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      0
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      <0.01
      Dictyocaulus18000.07
      Strongyloides1512200.84
      Capillaria151200.42
      Buxtonella6600.73
      a,b Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α = 0.05).
      1 Organic (n = 33); Pasture access = conventional herds on summer pasture (n = 13); Indoor = conventional herds with heifers housed indoors during summer (n = 10).
      2 P-values are for differences in overall percentages among the 3 herd types, based on Fisher’s exact test (α = 0.05).
      Table 5Percentages of Minnesota dairies that reported use of different fly control measures in 2012 (multiple answers were possible)
      ItemHerd type
      ORG=organic herds (n=35); SC=small conventional herds (<200 dry and milking cows, n=16); and MC=medium-sized conventional herds (≥200 mature cows, n=12).
      P-value
      P-values are for differences in overall percentages among the 3 herd types, based on Fisher’s exact test (α=0.05).
      ORGSCMC
      Reported use of fly control of any kind8960920.04
      Type of animals receiving fly control
       Milking cows8660850.25
       Dry cows34
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      43
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      69
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      0.09
       Replacement heifers25
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      43
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      62
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      0.07
       Calves5750770.34
      Types of fly control measures used
       Walk through traps300>0.90
       Baited jugs20000.08
       Sticky tapes71
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      0
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      39
      Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α=0.05).
      <0.01
       Parasitic wasps14000.21
      Other fly control approaches8271850.64
       Fly spray on animals60039
       Spray/fog barns04723
       Pour On6137
       Feed additive0150
       Other fly traps600
       Chickens900
       Lime on cows300
       Rubbing device with dust3015
      a–c Percentages in the same row with different superscripts were significantly different by pairwise Fisher’s exact tests (α = 0.05).
      1 ORG = organic herds (n = 35); SC = small conventional herds (<200 dry and milking cows, n = 16); and MC = medium-sized conventional herds (≥200 mature cows, n = 12).
      2 P-values are for differences in overall percentages among the 3 herd types, based on Fisher’s exact test (α = 0.05).

      Results

      Farm Characteristics

      Thirty-three ORG herds, 15 SC herds, and 13 MC herds were visited between June and September 2012. Median visit dates among the 3 herd types were July 18, August 22, and August 12, respectively. Two remaining ORG herds were visited in October and November. The removal of these 2 late ORG herds from analysis did not affect the results, so data from those 2 herds were retained in the analyses. Characteristics of the 63 study farms are summarized in Table 1. Organic dairy herds produced, on average, significantly less milk per cow and had a higher producer-reported recent bulk tank SCC than SC or MC herds. Proportions of cows that were dirty (hygiene score ≥3) were not associated with any particular herd type (P = 0.56). Organic herds had pasture access for almost all animals (Table 1). Likewise, many SC herds allowed their cows (lactating cows: n = 7; dry cows: n = 11) and heifers (n = 12) on pasture during the summer months. In contrast, most MC dairies housed weaned and breeding-age heifers in indoor group pens, and housed lactating cows in freestall barns. However, some MC dairies allowed their dry (n = 4) or lactating cows (n = 1) as well as their heifers (n = 5) access to pasture.
      Patterns of pasture management also differed among the 3 dairy types that used summer pasture (Table 1). Organic dairies had more designated pasture acreage than SC or MC dairies that used pasture. All ORG dairies used some form of rotational grazing, whereas most of the SC dairies and all of the MC dairies with pasture used continuous grazing (Table 1). Most commonly, replacement heifers did not have access to the same pastures as cows (ORG: 51.5%, SC: 45.4%, MC: 61.0%), but some producers grazed heifers with cows (ORG: 27.3%, SC: 45.5%, MC: 40.0%) or after cows (ORG: 21.2%, SC: 9.1%, MC: 0%). Although the average stocking densities for mature cows and replacement heifers were numerically different, densities did not differ among dairy types (P ≥ 0.25). We detected no significant difference in the date that cows and heifers had been turned out to pasture (P > 0.1).
      Producer responses to survey questions concerning perceptions and management of GI and external parasites will be summarized in corresponding sections below.

      GI Parasites

      Producers generally thought that heifers were the most affected by GI parasites, but only 6 ORG managers (17.1%), 1 SC manager (11%), and none of the MC managers considered parasite prevention when setting up their grazing schedules for heifers (P > 0.99). Ultimately, GI parasites were only perceived as a problem by 7 ORG producers (20.0%), whereas none of the SC or MC dairy herds thought the same (P = 0.08). The average FEC of those 7 ORG herds was significantly higher than averages of all other herds, including conventional and other ORG herds (P = 0.01) but did not differ statistically from the other ORG herds (P > 0.34). Two ORG producers had used ivermectin in the previous year, which included only 1 of the 7 herds that saw GI parasites as problems for their herd. Less than one-third of the ORG producers (22.9%) were aware that 2 pharmaceutical dewormers had been added to the NOP regulations in 2012. In contrast, 71.4% of SC and 92.3% of MC dairy herds regularly dewormed their cows or heifers (46.7 and 84.6%, respectively) with pharmaceutical dewormers (P < 0.01).
      A total of 1,083 fecal samples were obtained from replacement heifers of breeding age at 60 of the 63 enrolled dairies. Heifers at 2 ORG dairies and 1 MC dairy were unavailable because they were housed at facilities separate from the main farms. Median sample size at the remaining dairies was 20 heifers (range 2–21); sample sizes at 7 ORG dairies and 3 SC dairies were <16 animals, because fewer animals were available.
      Oocysts of Eimeria and eggs of 8 other gastrointestinal parasites were detected in samples from the 60 dairies (Table 2). Eimeria were present on all but 2 ORG farms and on all of the conventional farms. The 2 ORG herds that were negative for Eimeria had sample sizes of n = 20, and both herds used sawdust or wood shavings as bedding materials for their preweaned heifers but had no other management commonalities.
      The remaining gastrointestinal parasites were less uniformly distributed among farms. Most of the dairies had 2 or more types of parasites, but 1 ORG dairy yielded only strongyle-type eggs (Strongylidae), and 5 conventional dairies yielded only Trichuris. Herd-level prevalence of some of the parasites varied among dairy types (Table 2). Strongyles, the second most frequently encountered parasite after coccidia, were more prevalent on ORG dairies than on SC and MC dairies. Trichuris, the third most frequent parasite egg, was less prevalent on ORG and SC dairies than on MC dairies. Of the remaining parasites, Moniezia and Dictyocaulus were more prevalent on ORG dairies than on SC and MC dairies, whereas the prevalence of Nematodirus, Strongyloides, Capillaria, and Buxtonella did not differ significantly among the 3 types of dairies.
      Within individual heifers, FEC (in epg) of many of the GI parasites were positively associated. Strongyle FEC were correlated with those of Strongyloides, Moniezia, Capillaria, and Nematodirus (r > 0.08; P < 0.01). Lungworm Dictyocaulus FEC were correlated with counts of the pasture-associated Moniezia (r = 0.07; P = 0.03), whereas counts of Nematodirus were positively correlated with counts of Strongyloides, Moniezia, and Trichuris (r > 0.05; P < 0.08). An exception occurred with Buxtonella, whose counts were independent of those of all the other gastrointestinal parasites (P > 0.15).
      Heifer-level prevalence of Eimeria was almost 100% for heifers on Eimeria-positive farms, but Eimeria eggs were found in fewer MC heifers [89%, interquartile range (IQR): 75–95%] than ORG (100%, IQR: 95–100%) or SC heifers (100%, IQR: 92–100%; P < 0.01). Infection rates for the remaining parasites were relatively lower and in parallel with herd-level prevalence (Table 3). Geometric mean FEC (±SEM) of all helminth parasites combined were 7.9 ± 2.3 for ORG dairies, 0.5 ± 0.3 for SC dairies, and 0.9 ± 0.6 for MC dairies, and the difference between ORG dairies and conventional dairies was significant (P < 0.01).
      Strongyle eggs constituted the vast majority of all eggs; strongyle FEC were 6.6 ± 2.1 epg at ORG dairies, 0.5 ± 0.3 at SC dairies, and 0.8 ± 0.7 at MC dairies (P < 0.01; Figure 1). Most of the strongyle FEC from individual heifers were generally low, but 5 of the ORG herds had 1 or 2 heifers with FEC >500 epg. Herds that used pharmaceutical dewormers (P = 0.03), coccidiostats in feed (P = 0.08), or ionophores in feed (P < 0.01) had lower strongyle FEC than those that did not use them.
      Figure thumbnail gr1
      Figure 1Ranked box-whisker plots of fecal egg counts (FEC) in eggs per gram [in log10 (x + 1) scale] from individual heifers in 32 organic (ORG) dairies, 16 small conventional (SC) dairies, and 12 medium-sized conventional (MC) dairies in Minnesota, sampled once in June to November 2012. Median sample size was 20 heifers per dairy (range 2–21). Boxes are interquartile ranges (r), bold horizontal lines in boxes are medians, dashed lines are outward ranges within ±1.5r of median, and circles are outliers. One unfilled box among SC herds, 1 among MC, and 4 MC herds marked with “I” were from conventional herds housed continuously indoors; all remaining herds were on summer pasture.
      Interestingly, average Trichuris FEC were lower in ORG farms than in MC and nonpasture farms (P = 0.04), whereas average Moniezia FEC were higher in ORG and pasture-access farms than in farms that continuously housed animals indoors (P < 0.01). Dictyocaulus eggs were found only in 6 ORG dairy herds (P = 0.02).
      The FEC were also analyzed in relation to herd, pasture, and manure management practices (Table 4). Heifers on dairies that used rotational grazing had higher FEC than those that did not, and the longer the pasture regrowth time between consecutive grazings, the higher the FEC (r = 0.48; P < 0.01). However, this association vanished when the association was evaluated for ORG herds alone (r = 0.28; P = 0.11). Independent of management system, dairies that had a stream or pond on pasture had higher FEC than those that did not (P < 0.01), whereas dairies that used any kind of indoor feed line (e.g., post-and-rail) for weaned heifers had lower FEC (P = 0.02).
      The FEC in heifers tended to be lower on farms where bedding for weaned heifers (r = –0.49; P < 0.01) and for dry cows was changed more often (r = –0.51; P < 0.01). However, this relationship was not observed with bedding management for preweaned heifers (P > 0.22) or lactating cows (P = 0.67). Likewise, no relationship was observed between the percentage of cows with a hygiene score ≥3 on farm, as a surrogate for animal hygiene on farm, and the FEC in heifers.
      The FEC were independent of whether cows and heifers grazed in the same pastures, either at the same or different times (P = 0.77), and FEC were independent of stocking density on pasture (P > 0.63). Although the FEC tended to be higher when manure was spread over crops (P = 0.08), they were generally independent of whether manure was spread on pasture or on cropland (P > 0.28). The FEC were significantly lower on conventional farms that used pharmaceutical dewormers (P = 0.02), coccidiostats (P = 0.06), or ionophores in feed (P < 0.01). Average FEC in heifers were significantly higher in the 7 ORG herds where managers thought GI parasites were problems than on all other farms (P = 0.01). However, the average FEC of those 7 farms were not different from the other ORG farms (P = 0.18).

      Fly Control Measures

      Overall, a higher percentage of ORG and MC herds used some form of fly control compared with SC herds (P = 0.04). Table 5 shows the distribution of farms that used fly control on various animal groups and the fly control measures used by farms.
      Both ORG and SC farms focused their fly control predominantly on the lactating cow herd and preweaned calves, whereas most MC farms used a fly control measure on all age groups. Fewer than half of the ORG and SC farms controlled flies for their dry cows (P < 0.09) or replacement heifers (P = 0.07; Table 5).
      Most farms did not use anyof the questionnaire options for fly control, with the exception of sticky tapes, which were used by most ORG herds and some MC herds. Interestingly, none of the SC herds used sticky tapes for fly control (P < 0.01). The most commonly used fly control tools were fly sprays on cattle, spraying or fogging of barns, and pour-on products. Only ORG producers used baited jugs (n = 7), parasitic wasps (n = 6), chickens alongside the cows (n = 3), or walk-through traps (n = 1) as fly control measures (Table 5).

      Ectoparasites

      Excluding ringworm infections in heifers, we detected no difference among herd types in proportion of herds that reported seeing signs associated with lice or tailhead mange, such as excessive scratching and rubbing, hair loss or scabby skin conditions, in particular around the tail head, in their cattle during the winter of 2011-2012 (ORG: 48.6%, SC: 57.1%, MC: 53.9%; P = 0.85). Of those that saw such conditions, only 37.5, 77.8, and 71.4% of ORG, SC, and MC herds treated the animals with anything against lice or tail mange infections, respectively. Whereas SC herds and MC herds treated the skin conditions with pharmaceutical parasiticides, ORG herds did not use those products (P < 0.01). Instead, ORG producers used topical treatments such as brown sugar, diatomaceous earth, and iodine spray.

      Discussion

      This survey is the first study to quantify the prevalence of different GI parasite eggs in dairy herds in the north-central region of the United States. Previous studies had focused on the description of the GI parasite burden or FEC in cow-calf herds in the upper Midwest (
      • Stromberg B.E.
      • Corwin R.M.
      Epizootiology of Ostertagia ostertagi in cow–calf production systems in the American Midwest.
      ;
      • Stromberg B.E.
      • Gasbarre L.C.
      Gastrointestinal nematode control programs with an emphasis on cattle.
      ;
      • Hildreth M.B.
      • Epperson W.B.
      • Mertz K.J.
      Effect of longitude and latitude on fecal egg and oocyst counts in cow-calf beef herds from the United States Northern Great Plains.
      ). The few studies that had investigated GI parasites in dairy cows focused only on a specific gastrointestinal parasite such as Ostertagia (
      • Sithole F.
      • Dohoo I.
      • Leslie K.
      • DesCoteaux L.
      • Godden S.
      • Campbell J.
      • Stryhn H.
      • Sanchez J.
      Effect of eprinomectin treatment at calving on milk production in dairy herds with limited outdoor exposure.
      ), did not distinguish between different helminth species (
      • Hildreth M.B.
      • Epperson W.B.
      • Mertz K.J.
      Effect of longitude and latitude on fecal egg and oocyst counts in cow-calf beef herds from the United States Northern Great Plains.
      ), or considered only conventional herds that could use pharmaceutical dewormers (
      • Sithole F.
      • Dohoo I.
      • Leslie K.
      • DesCoteaux L.
      • Godden S.
      • Campbell J.
      • Stryhn H.
      • Sanchez J.
      Effect of eprinomectin treatment at calving on milk production in dairy herds with limited outdoor exposure.
      ).
      A strength of the present study is the diversity of dairy herd types studied and the large number of fecal samples analyzed. Furthermore, we attempted to collect a representative sample per herd (
      • Gasbarre L.C.
      • Leighton E.A.
      • Bryant D.
      Reliability of a single fecal egg per gram determination as a measure of individual and herd values for trichostrongyle nematodes of cattle.
      ) and collected the samples during the transmission season (i.e., summer months). It was positive to note that the time of first turn out was comparable across herd types, if pasture access was given to animals. Additionally, the herds’ production characteristics were comparable to other reports in the literature that compared organic and conventional herds (
      • Zwald A.G.
      • Ruegg P.L.
      • Kaneene J.B.
      • Warnick L.D.
      • Wells S.J.
      • Fossler C.
      • Halbert L.W.
      Management practices and reported antimicrobial usage on conventional and organic dairy farms.
      ;
      • Sato K.
      • Bartlett P.
      • Erskine R.
      • Kaneene J.
      A comparison of production and management between Wisconsin ORG and conventional dairy herds.
      ;
      • Stiglbauer K.E.
      • Cicconi-Hogan K.M.
      • Richert R.
      • Schukken Y.H.
      • Ruegg P.L.
      • Gamroth M.
      Assessment of herd management on organic and conventional dairy farms in the United States.
      ).
      However, there are also limitations to this study: the nominal goal of 20 fecal samples could not be obtained on all herds, the Wisconsin sugar float method does not allow for identification of Fasciola eggs, we sampled only once at each farm, and FEC may not necessarily reflect the actual parasite burdens of infected animals (
      • Eysker M.
      • Ploeger H.W.
      Value of present diagnostic methods for gastrointestinal nematode infections in ruminants.
      ). Furthermore, although most herds were visited in July and August, many ORG herds were visited slightly earlier than conventional herds, which could influence the results. Additionally, we did not record timing between the most recent deworming effort and sample collection date at each farm, and we did not characterize the general frequency of anthelmintic treatments at the different farms.
      A surprising result of this study was that most ORG dairy farmers did not consider GI parasites to be a problem and did not consider parasite prevention when they set up their grazing schedule, even though they cannot routinely use dewormers. Furthermore, very few ORG dairy producers had dewormed heifers with ivermectin in the previous grazing season, or knew that fenbendazole and moxidectin had been added to the NOP. Considering that the former can only be done if a heavy infection had been diagnosed and if the organic certifier approves of its use, one might argue based on this observation alone that heifers in ORG dairy herds indeed might not have a high, clinically manifesting parasite infection.
      Indeed, the average counts of various GI parasites were low overall, and were comparable between ORG and conventional herds. Very few individual ORG animals had total FEC >500 epg, which would be considered a heavy infection (
      • Corwin R.M.
      Economics of gastrointestinal parasitism of cattle.
      ), and the observed total FEC in conventional herds were similar to those described in mature cows of dairy herds in Sweden and the UK (
      • Höglund J.
      • Svensson C.
      • Hessle A.
      A field survey on the status of internal parasites in calves on organic dairy farms in southwestern Sweden.
      ;
      • Fox M.T.
      • Hutchinson M.
      • Riddle A.
      • Forbes A.B.
      Epidemiology of subclinical dairy cow nematode infections on five farms in England in 2002 and a comparison with results from 1978 to 1979.
      ;
      • Maggs L.A.
      • Athanasiadou S.
      • Sherwood L.
      • Haskell M.J.
      Levels of parasitism on organic and non-organic dairy farms in Scotland.
      ). In contrast, FEC on ORG dairies were lower than the previously described nematode FEC in conventional cow-calf herds in the upper Midwest (
      • Hildreth M.B.
      • Epperson W.B.
      • Mertz K.J.
      Effect of longitude and latitude on fecal egg and oocyst counts in cow-calf beef herds from the United States Northern Great Plains.
      ) or from a recent study in Sweden (
      • Areskog M.
      • Ljungsström B.L.
      • Höglund J.
      Limited efficacy of pour-on anthelmintic treatment of cattle under Swedish field conditions.
      ).
      The fact that the average strongyle-type FEC was higher in the ORG herds than in conventional herds suggests that strongyles, which are generally most pathogenic nematodes of cattle, may be more problematic in ORG herds than in conventional herds. The higher strongyle FEC in ORG herds may be attributable to exposure on pasture, as was suggested by
      • Sithole F.
      • Dohoo I.
      • Leslie K.
      • DesCoteaux L.
      • Godden S.
      • Campbell J.
      • Stryhn H.
      • Sanchez J.
      Effect of eprinomectin treatment at calving on milk production in dairy herds with limited outdoor exposure.
      ), who found higher Ostertagia FEC in dairy herds with pasture access than in herds with limited or no pasture access. Considering that ponds and streams—marshy areas in general—provide a good environment for survival of infective larvae, it was not surprising to see that the presence of a stream on pasture was associated with increased strongyle FEC in this study.
      Exposure to parasites on pasture likely explains, too, why ORG herds were more likely than herds in confinement systems to have Moniezia or Dictyocaulus infections. The observed prevalence of Moniezia was comparable to those seen in cow-calf herds (
      • Hildreth M.B.
      • Epperson W.B.
      • Mertz K.J.
      Effect of longitude and latitude on fecal egg and oocyst counts in cow-calf beef herds from the United States Northern Great Plains.
      ). Interestingly, all ORG herds that had only one type of parasite egg present had Moniezia, whereas all conventional herds with only one parasite had Trichuris. The latter was also more likely to be present in MC herds than ORG herds, suggesting that Trichuris infections are associated with animals housed indoors. However, most management practices were very much associated with herd type and more data are needed to identify the effect of various management practices on Trichuris infections.
      Most farms of all 3 types did implement some kind of fly control measure, but SC farms were less likely to do so than ORG or MC farms. Furthermore, of farms that performed fly control, most emphasis was placed on the milking herd and preweaned calves; dry cows and heifers were less likely to be treated on ORG and SC farms. In contrast, a greater percentage of MC farms had fly control measures in place for all 4 cattle groups. One might speculate that this was because these 2 animal groups have the most day-to-day interaction with humans on smaller farms and that (1) flies would bother the human caretaker, (2) the discomfort of milking cows would be noticed due to kicks during milking and lost milk production, or (3) it was not seen as economically viable to spend money for fly treatment of replacement heifers and dry cows.
      Approaches for fly control differed between ORG and conventional farms. Organic farmers were unlikely to spray or fog the barn with insecticides against flies, probably due to the lack of NOP fly control products. Instead, ORG managers were likely to use botanical fly sprays, parasitic wasps, or chickens for fly control. Chickens are used because they will forage for grain through manure patties on pasture and therefore spread them out. This will dry the patties quicker and impair the growth of fly and other larvae. Chickens were not used at all by conventional farms.
      Compared with flies, other ectoparasites received even less attention on dairy farms. Although many herd managers saw lice or mange infestations, very few ORG farmers reported treating these infestations, whereas conventional farmers used various topical pharmaceuticals.
      In conclusion, most ORG dairy farmers did not perceive GI parasites as a problem on their farm; and although ORG farms did have, on average, higher strongyle egg counts than conventional dairy farms, the parasite FEC were low overall across herd types. Lice or mange infestations were seen on approximately half of all herds and were not treated consistently. Similarly, fly control was practiced predominantly only for milking cows and preweaned heifers regardless of herd type.

      Acknowledgments

      The authors thank the dairy producers for participating in this study and Jason Lombard (USDA-Animal and Plant Health Inspection Service, Fort Collins, CO) for access to the USDA NAHMS surveys. In addition, we thank Sue Prouty, Carla Barstow, and Giordana Costa (University of Minnesota) for their help in the laboratory and the Minnesota Agricultural Experiment Station for funding.

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