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Estimation of microsatellite-based autozygosity and its correlation with pedigree inbreeding coefficient in crossbred cattle.
- Source :
- Animal Biotechnology; Dec2023, Vol. 34 Issue 8, p3564-3577, 14p
- Publication Year :
- 2023
-
Abstract
- In countries where farming is largely subsistence, no pedigree records of farm animals are maintained at farmers' herd and scientific mating plans are not observed which leads to the accumulation of inbreeding and loss of production potential. Microsatellites have been widely used as reliable molecular markers to measure inbreeding. We attempted to correlate autozygosity estimated from microsatellite data with the inbreeding coefficient (F) calculated from pedigree data in Vrindavani crossbred cattle developed in India. The inbreeding coefficient was calculated from the pedigree of ninety-six Vrindavani cattle. Animals were further grouped into three groups viz. acceptable/low (F: 0–5%), moderate (F: 5–10%) and high (F: ≥10%), based on their inbreeding coefficients. The overall mean of the inbreeding coefficient was found to be 0.070 ± 0.007. A panel of twenty-five bovine-specific loci were chosen for the study according to ISAG/FAO. The mean F<subscript>IS,</subscript>F<subscript>ST,</subscript> and F<subscript>IT</subscript> values were 0.0548 ± 0.025, 0.012 ± 0.001 and 0.0417 ± 0.025, respectively. There was no significant correlation between the F<subscript>IS</subscript> values obtained and the pedigree F values. The locus-wise individual autozygosity was estimated using the method-of-moments estimator (MME) formula for locus-specific autozygosity. The autozygosities ascribing to CSSM66 and TGLA53 were found to be significantly (p <.01 and p <.05, respectively) correlated with pedigree F values. [ABSTRACT FROM AUTHOR]
- Subjects :
- INBREEDING
CATTLE crossbreeding
GENEALOGY
PRODUCTION losses
AGRICULTURE
CATTLE
Subjects
Details
- Language :
- English
- ISSN :
- 10495398
- Volume :
- 34
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- Animal Biotechnology
- Publication Type :
- Academic Journal
- Accession number :
- 175196259
- Full Text :
- https://doi.org/10.1080/10495398.2023.2176318