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Correlations and repeatability between Babesia spp. infection levels using two dairy cattle breeding systems
Rodrigo Giglioti1, Henrique Nunes de Oliveira2, Gunta Gutmanis3
1Instituto de Zootecnia, Rua Heitor Penteado, n. 56, Nova Odessa, São Paulo, 13380 011, Brazil. giglioti@iz.sp.gov.br.
Experimental & Applied Acarology
|July 18, 2020
Summary
This study examined Babesia bovis and Babesia bigemina infections in cattle. High correlations suggest infection levels of one Babesia species can predict the other, potentially linked to breeding systems and host resistance.
Area of Science:
- Veterinary Parasitology
- Animal Genetics
- Molecular Diagnostics
Background:
- Babesia bovis and Babesia bigemina are significant tick-borne pathogens impacting global livestock.
- Previous research indicates breed and individual variations in cattle resistance to babesiosis.
- Understanding infection dynamics is crucial for managing livestock health and economic losses.
Purpose of the Study:
- To evaluate the repeatability and correlation of Babesia bovis and Babesia bigemina infection levels.
- To compare these parameters between individual (IS) and collective paddock (CPS) cattle breeding systems.
- To explore potential links between breeding systems, host resistance, and parasite dynamics.
Main Methods:
- Quantitative polymerase chain reaction (qPCR) was used to quantify B. bovis and B. bigemina DNA in blood samples.
- Holstein cattle were studied under two distinct breeding systems: individual (IS) and collective paddock (CPS).
- Statistical analyses were performed to estimate correlation and repeatability coefficients for parasite loads.
Main Results:
- Moderate correlations were observed for B. bigemina and high correlations for B. bovis DNA copy numbers between systems.
- Repeatability estimates for both Babesia species were moderate across both IS and CPS.
- High variability in resistance/susceptibility among cattle was confirmed, influencing parasite correlations.
Conclusions:
- High correlations between B. bovis and B. bigemina infection levels suggest that measuring one can predict the other.
- Breeding systems and inherent cattle resistance likely contribute to observed infection patterns and repeatability.
- Findings support the potential for genetic selection related to resistance against multiple Babesia species in cattle.

