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Table 1 Economic impact (in €) of Schmallenberg virus (SBV) for three types of beef suckler farms in France

From: Application of integrated production and economic models to estimate the impact of Schmallenberg virus for various beef suckler production systems in France and the United Kingdom

  

Charolais Calving

Salers Calving

Charolais Fattening

  

HI

LI

HI

LI

HI

LI

Additional expenditure

Veterinary assistance on cows that have dystocia due to SBV

73

37

75

38

73

37

Treatment of cows that need caesarean due to SBV dystocia

7

3

7

3

7

3

Treatment of cows that have clinical SBV episodes

26

0

26

0

26

0

Treatment of cows that have aborted due to SBV

60

30

60

30

60

30

 

SBV testing of aborted foetuses, stillborn or malformed calves

1

0

1

0

1

0

 

Cost of purchasing and raising heifers for replacement

75

38

126

63

76

38

Revenue forgone

Steers not sold

1,810

910

1,548

778

2,533

1,273

Heifers not sold

1,866

937

1,657

832

2,693

1,353

Cows that die

44

22

46

23

44

22

Sum of costs

3,961

1,977

3,546

1,769

5,512

2,757

Expenditure saved

Concentrate feed saved on steers and heifers not produced

256

137

453

228

512

261

Concentrate feed saved on cows that die or are culled

54

27

43

22

54

27

Bedding costs saved

162

81

63

32

194

97

Miscellaneous costs saved

117

59

72

36

153

77

Cow vaccines saved

1

1

1

1

1

1

Calf vaccines saved

58

29

59

29

58

29

Cow worming saved

1

1

1

1

4

2

Calf worming saved

5

3

5

5

5

3

Extra revenue

Revenue from cows culled due to SBV abortion

230

115

160

80

200

100

Sum of benefits

884

451

857

442

1,181

595

NET TOTAL SBV COST (€)/HERD

3,077

1,526

2,689

1,347

4,256

2,162

NET TOTAL SBV COST (€)/COW

30.7

15.3

26.9

13.5

42.5

21.6

Range of plausible values (€/cow)

8-99

0-14

7-84

0-15

11-135

0-22

  1. Ranges of plausible values are defined with minimum and maximal parameters, as listed in Table 2.
  2. HI, high impact disease scenario; LI, low impact disease scenario.