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Abstract

The aim of this study was to evaluate the possibility to predict outcomes of artificial insemi- nation (AI) in dairy cows based on in-line milk progesterone (P4) concentration. The research was carried out on the herd of loose housing 245 dairy cows of 2-4 lactations, with average milk yielding 11.000 kg per cow. Milk sampling, measuring, and recording of milk P4 concentration was carried out using the Herd Navigator (HN). The grouping was performed according to the following three indices: the first by reproductive condition – pregnant or not pregnant after AI, the second by P4 concentration from day 20 before AI to day 20 after AI, and the third by P4 concentration at AI time. There was a significant difference in P4 concentration in the group of pregnant cows from day 15 to day 9 before AI, and it was by 18.3% higher com- pared to that in the group of non-pregnant cows in the said period (p<0.01). The milk P4 concen- trations began to differ mostly from day 10 after AI. At that time, the average P4 concentration in the group of pregnant dairy cows was by 36.8% higher compared to that in the group of non-pregnant cows (p<0.01). A statistically significant difference between the ratio of the cows with high, medium, and low P4 concentration on days 20-16 before AI (p<0.01) was determined. The highest number of cows with up to 2-3 ng/ml P4 concentration became pregnant at the AI time.
In-line milk P4 records captured on day 10-15 before AI can be used to predict the proper for reproduction period. By P4 concentrations on day10 after AI, the ratio of pregnant cows in herd can be assessed.
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Authors and Affiliations

A. Gavelis
1
A. Juozaitis
2
R. Japertienė
1
G. Palubinskas
1
V. Juozaitienė
1
V. Žilaitis
3

  1. Department of Animal Breeding, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės St. 18, Kaunas, Lithuania
  2. Department of Animal Nutrition, Veterinary Academy,Lithuanian University of Health Sciences, Tilžės St. 18, Kaunas, Lithuania
  3. Large Animal Clinic, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės St. 18, Kaunas, Lithuania
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Abstract

Exogenous fibrolytic enzymes (EFE) and yeast are feed supplements that improve forage digestion in rumen, but their influences on physical reticulorumen parameters are not well studied. This study was designed to evaluate the effect of the EFE:endo-β-xylanase (37x104 U/cow/day), endocellulase (45x104 U/cow/day), endo-β-glucanase (12x104U/cow/day), and active yeast – Saccharomyces cerevisiae CNCM-1077 (10x109CFU/cow/day) supplements on reticulorumen pH (RpH) and temperature (RT) in dairy cows. Nine Lithuanian Red cows were allocated into three groups (3 cows/group): control group (C) – farm diet without supplementa- tion, enzyme group (E) – farm diet supplemented with EFE, enzyme and active yeast group (EY) – farm diet supplemented with EFE and active yeast. The feeding trial lasted for 60 d. All cows were equipped with reticuloruminal telemetric pH and temperature sensor device. Data provided by the device were used to calculate the mean RpH (RpH/24h), the mean minimal RpH ( RpH/24h min.) and mean of the time that RpH was below the threshold value of 6.0 (RpH<6.0/24h, min.). The highest RpH/24h (6.37±0.22) was observed in group EY and it was by 1.62% (p<0.05) and 1.27% (p<0.001) higher as compared with groups E and C, respectively. Also min RpH/24h (6.24±0.24) was highest in group EY and values were by 0.63% (p<0.001) and 0.65% (p<0.001) higher as compared with groups C and E, respectively.

The shortest duration of RpH<6.0/24h, was recorded in group EY, and it was by 57.76% (p<0.05) and 47.87% shorter as compared with groups C and E, respectively. In conclusion, feed supple- mentation with EFE and Saccharomyces cerevisiae CNCM-1077 had beneficial effect on RpH.

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Authors and Affiliations

I. Šilinskas
I. Monkevičienė
I. Tapio
K. Musayeva
R. Japertienė
S. Kerzienė
G. Dovydaitienė
A. Sederevičius
R. Želvytė

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