immagine

Attività svolta

Desidero ricevere una copia cartacea
Informativa sulla privacy
Iscrizione alla newsletter

Il controllo post-parto è una componente essenziale della terapia in asciutta selettiva

Bibliografia

1. Berry, E.A. and J.E. Hillerton, The effect of selective dry cow treatment on new intramammary infections. Journal of Dairy Science, 2002. 85(1): p. 112-121.

2. Bobbo, T., et al., Comparison of machine learning methods to predict udder health status based on somatic cell counts in dairy cows. Scientific Reports, 2021. 11(1): p. 10.

3. Bramer, M., Principles of Data Mining. IV ed. Undergraduate Topics in Computer Science, ed. I. Mackie. 2020, London Srpinger. 576.

4. Demsar, J., et al., Orange data mining toolbox in Python. Journal of Machine Learning Research, 2013. 14: p. 2349-2353.

5. Fadul-Pacheco, L., H. Delgado, and V.E. Cabrera, Exploring machine learning algorithms for early prediction of clinical mastitis. International Dairy Journal, 2021. 119: p. 9.

6. Halasa, T. and C. Kirkeby, Differential Somatic Cell Count: Value for Udder Health Management. Frontiers in Veterinary Science, 2020. 7: p. 7.

7. Halasa, T., et al., Meta-analysis of dry cow management for dairy cattle. Part 2. Cure of existing intramammary infections. Journal of Dairy Science, 2009. 92(7): p. 3150-3157.

8. Halasa, T., et al., Meta-analysis of dry cow management for dairy cattle. Part 1. Protection against new intramammary infections. Journal of Dairy Science, 2009. 92(7): p. 3134-3149.

9. Huijps, K. and H. Hogeveen, Stochastic modeling to determine the economic effects of blanket, selective, and no dry cow therapy. Journal of Dairy Science, 2007. 90(3): p. 1225-1234.

10. Kirkeby, C., et al., Differential somatic cell count as an additional indicator for intramammary infections in dairy cows. Journal of Dairy Science, 2020. 103: p. 1759-1775.

11. Luo, W.K., Q. Dong, and Y. Feng, Risk prediction model of clinical mastitis in lactating dairy cows based on machine learning algorithms. Preventive Veterinary Medicine, 2023. 221: p. 8.

12. Osteras, O. and L. Sandvik, Effects of selective dry-cow therapy on culling rate, clinical mastitis, milk yield and cow somatic cell count. A randomized clinical field study in cows. Journal of Veterinary Medicine Series B-Infectious Diseases and Veterinary Public Health, 1996. 43(9): p. 555-575.

13. Qamar, U. and M.S. Raza, Data Science Concepts and Techniques with Applications. 2020: Springer Singapore. 196.

14. Rajala-Schultz, P.J., A.H. Torres, and F.J. DeGraves, Milk yield and somatic cell count during the following lactation after selective treatment of cows at dry-off. Journal of Dairy Research, 2011. 78(4): p. 489-499.

15. Robert, A., H. Seegers, and N. Bareille, Incidence of intramammary infections during the dry period without or with antibiotic treatment in dairy cows - a quantitative analysis of published data. Veterinary Research, 2006. 37(1): p. 25-48.

16. Zecconi, A. and M. Cipolla, L’asciutta selettiva dopo tre anni di applicazione in allevamento. SUMMA ANIMALI DA REDDITO, 2023(3): p. 31-36.

17. Zecconi, A., M. Di Pietro, and L. Durel, Terapia antibiotica selettiva alla messa in asciutta. Summa  animali da reddito, 2021. 16(10): p. 1-7.

18. Zecconi, A., et al., Observational study on application of a selective dry-cow therapy protocol based on individual somatic cell count thresholds. Italian Journal of Animal Science, 2020. 19(1): p. 1341-1348.

19. Zecconi, A., et al., Total and differential cell counts as a tool to identify intramammary infections in cows after calving. Animals, 2021. 11(727): p. 14.

20. Zecconi, A., et al., Somatic Cell Count as a Decision Tool for Selective Dry Cow Therapy in Italy. Italian Journal of Animal Science, 2018. 17(4): p. 1-6.

21. Zecconi, A., et al., Assessment of Subclinical Mastitis Diagnostic Accuracy by Differential Cell Count in Individual Cow Milk. Italian Journal of Animal Science, 2018. 18: p. 435-440.

 

22. Zecconi, A., et al., Early Milk Total and Differential Cell Counts as a Diagnostic Tool to Improve Antimicrobial Therapy Protocols. Animals, 2023. 13(7): p. 1143.

TORNA INDIETRO
Abbonati per accedere

Dal web internazionale
04/06/2026

Eradicazione di M. hyopneumoniae nel suino: gli strumenti ci sono

I metodi storicamente impiegati per ridurre l’incidenza delle infezioni da M. hyopneumoniae non sembrano attualmente funzionare adeguatamente. I programmi di controllo per questo microrganismo si dividono in due macrocategorie: i programmi che prevedono l’eradicazione dell’agente patogeno e quelli che non la prevedono; a quest’ultima categoria appartengono le strategie che si basano su tre concetti: gestione, prevenzione e trattamento.

 
 
Formazione a distanza abbinata a SUMMA

SPC-sviluppo-professionale-continuo