| Literature DB >> 35582488 |
Věra Fichtelová1, Alena Králová1, Vladimír Babák2, Kamil Kovařčík1.
Abstract
Introduction: Johne's disease, caused by infection with Mycobacterium avium subsp. paratuberculosis (MAP), causes economic losses in dairy herds due to reduced milk production and premature culling. A test-and-cull strategy coupled with changes in calf rearing management preventing new infections has been introduced into infected herds to control MAP prevalence. This study appraised the effectiveness of these practice changes. Material andEntities:
Keywords: Johne’s disease; MAP control; dairy cattle; serum ELISA
Year: 2022 PMID: 35582488 PMCID: PMC8959688 DOI: 10.2478/jvetres-2022-0001
Source DB: PubMed Journal: J Vet Res ISSN: 2450-7393 Impact factor: 2.058
Characteristics of 19 studied herds and ELISA results during implementation of MAP control measures
| Herd | Number of lactating cows in the herd | Control period in years | Initial percentage of EPAY | Final percentage of EPAY | Average percentage of retested EPAY |
|---|---|---|---|---|---|
| 1 | 470 | 4 | 12.86 | 3.88 | 16.84 |
| 2 | 284 | 6 | 0.82 | 0 | 0 |
| 3 | 330 | 6 | 9.42 | 1.11 | 0 |
| 4 | 432 | 3 | 2.20 | 2.96 | 0 |
| 5 | 535 | 4 | 3.36 | 2.00 | 8.33 |
| 6 | 920 | 6 | 7.65 | 2.32 | 3.20 |
| 7 | 423 | 6 | 2.53 | 1.53 | 4.79 |
| 8 | 390 | 5 | 7.04 | 1.90 | 8.23 |
| 9 | 435 | 6 | 10.04 | 0.90 | 8.16 |
| 10 | 570 | 4 | 2.90 | 1.24 | 23.67 |
| 11 | 590 | 4 | 7.34 | 2.76 | 41.31 |
| 12 | 600 | 7 | 10.66 | 0.20 | 22.28 |
| 13 | 730 | 3 | 3.80 | 1.73 | 0 |
| 14 | 613 | 3 | 11.42 | 4.65 | 21.17 |
| 15 | 550 | 5 | 8.11 | 2.20 | 27.33 |
| 16 | 760 | 6 | 2.05 | 1.95 | 13.13 |
| 17 | 188 | 4 | 9.22 | 1.49 | 9.40 |
| 18 | 110 | 7 | 17.20 | 3.45 | 29.21 |
| 19 | 220 | 7 | 23.05 | 7.57 | 36.39 |
EPAY – ELISA-positive animals detected per year
Data and results of χ2 test for a trend of decreasing number of ELISA-positive animals tested per year during the control period
| Herd | Total number of tested animals | Total number of ELISA-positive animals | Percentage of ELISA-positive animals | Trend |
|---|---|---|---|---|
| 1 | 1,425 | 117 | 8.21 | P < 0.01 |
| 2 | 1,341 | 12 | 0.89 | P > 0.05 |
| 3 | 2,271 | 88 | 3.87 | P < 0.01 |
| 4 | 871 | 20 | 2.30 | P > 0.05 |
| 5 | 1,922 | 47 | 2.45 | P > 0.05 |
| 6 | 4,852 | 195 | 4.02 | P < 0.01 |
| 7 | 2,764 | 59 | 2.13 | P > 0.05 |
| 8 | 2,164 | 84 | 3.88 | P < 0.01 |
| 9 | 2,463 | 113 | 4.59 | P < 0.01 |
| 10 | 2,462 | 58 | 2.36 | P < 0.05 |
| 11 | 3,032 | 130 | 4.29 | P < 0.01 |
| 12 | 3,231 | 105 | 3.25 | P < 0.01 |
| 13 | 2,168 | 54 | 2.49 | P < 0.05 |
| 14 | 1,492 | 125 | 8.38 | P < 0.01 |
| 15 | 2,357 | 100 | 4.24 | P < 0.01 |
| 16 | 3,700 | 93 | 2.51 | P > 0.05 |
| 17 | 736 | 30 | 4.08 | P < 0.01 |
| 18 | 922 | 68 | 7.38 | P < 0.01 |
| 19 | 1,960 | 189 | 9.64 | P < 0.01 |
|
| ||||
| Total | 42,133 | 1,687 | ||
Fig. 1The relationship between the percentage of ELISA-positive animals per year (EPAY) and the duration of implementation of MAP control measures analysed by a generalised non-linear model (P < 0.01, OR 0.756)
● – expected EPAY; ▲ – observed EPAY