Droplet digital PCR quantification of selected microRNAs in raw mastitic cow’s milk from the west of Poland
Dec 19, 2023
About this article
Published Online: Dec 19, 2023
Page range: 583 - 591
Received: Jun 15, 2023
Accepted: Oct 27, 2023
DOI: https://doi.org/10.2478/jvetres-2023-0062
Keywords
© 2023 Sebastian Smulski et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Fig. 1.

Fig. 2.

Fig. 3.

Prevalence of pathogens isolated from mastitic-quarter milk samples
Pathogen | n | Prevalence (%) |
---|---|---|
6 | 9.23 | |
1 | 1.54 | |
1 | 1.54 | |
4 | 6.15 | |
1 | 1.54 | |
2 | 3.08 | |
No growth | 33 | 50.77 |
Contamination | 17 | 26.15 |
Performance of the K-nearest neighbour regression model, by somatic cell count class in healthy and mastitic milk samples
Parameter | Three-class analysis | Two-class analysis | ||
---|---|---|---|---|
Low | Medium | High | Low | |
Sensitivity | 0.67 | 0.67 | 0.82 | 0.98 |
Specificity | 0.85 | 0.75 | 0.98 | 0.95 |
Positive predictive value | 0.63 | 0.62 | 0.95 | 0.98 |
Negative predictive value | 0.87 | 0.79 | 0.91 | 0.95 |
Balanced accuracy | 0.76 | 0.71 | 0.90 | 0.97 |