Table 3.
Results from univariable analyses of candidate variables with respect to their association with type of herd (high calf mortality > 5% and low calf mortality ≤ 5%) in 50 German dairy herds, visited between September 2012 and October 2014.
| Variable | category | Low calf mortality | High calf mortality | p-value |
|---|---|---|---|---|
| ADG from birth to weaning in g/day b,c | Median | 739 | 663 | 0.096 |
| Serum total protein concentration in the first week of life in g/l b | Median | 53.9 | 52.8 | 0.110 |
| Percentage of calves with FPT a,c | ≤ 25% > 25% |
7 16 |
2 23 |
0.068 |
| Serum albumin concentration around weaning in g/l b | Median | 34.8 | 34.2 | 0.141 |
| Disinfection of the maternity pen b,c | no yes, but not against cryptosporidia yes, against cryptosporidia |
13 9 3 |
8 8 9 |
0.111 |
| Separation of maternity pen and box for sick cows b,c | no next to each other yes |
5 11 9 |
8 4 13 |
0.090 |
| Time per day without staff at the farm a | ≤ 2 hours > 2 hours |
10 15 |
5 19 |
0.146 |
| Maximal time interval between calving and harvesting first colostrum of the dam b | ≤ 2 hours > 2 - 8 hours > 8 hours |
8 10 7 |
5 6 14 |
0.130 |
| Latest feeding of first colostrum to newborn calves (hours post natum) b | ≤ 2 hours > 2 - 4 hours > 4 hours |
12 2 11 |
8 7 9 |
0.140 |
| First colostrum offered at second meal b | no partly yes |
7 10 8 |
14 6 5 |
0.130 |
| Age at first offer of water to calves (all-season) a,c | ≤ 7 days > 7 days |
14 11 |
8 17 |
0.087 |
| Age at first offer of hay to calves b,c | ≤ 7 days > 7 days not before weaning |
11 10 4 |
3 17 5 |
0.033 |
| Amount of concentrates consumed around weaning in kg b | Normally distributed | 1.5 | 1.0 | 0.072 |
| Change between stalls with warm climate and outdoor climate housing before weaning a | change no change |
18 7 |
13 12 |
0.145 |
| Use of halofuginone lactate a,c | no yes |
19 6 |
8 17 |
0.002 |
| Interruption of milk feeding for calves with NCD a | maximum one meal more than one meal |
18 7 |
13 12 |
0.145 |
a – chi-square-test; b – logistic regression; c – candidate variables for multivariable model.