Aim:The aim was to estimate genetic and non-genetic factors affecting morphometric traits of Sirohi goats under field condition.Materials and Methods:The detailed information of all animals on body measurements at birth, 3, 6, 9, and 12 months of age was collected from farmer’s flock under field condition born during 2007-2013 to analyze the effect of genetic and non-genetic factors. The least squares maximum likelihood program was used to estimate genetic and non-genetic parameters affecting morphometric traits.Results and Discussion:Effect of sire, cluster, year of birth, and sex was found to be highly significant (p<0.01) on all three morphometric traits, parity was highly significant (p<0.01) for body height (BH) and body girth (BG) at birth. The h2 estimates for morphometric traits ranged among 0.528±0.163 to 0.709±0.144 for BH, 0.408±0.159 to 0.605±0.192 for body length (BL), and 0.503±0.197 to 0.695±0.161 for BG.Conclusion:The effect of sire was highly significant (p<0.01) and also h² estimate of all morphometric traits were medium to high; therefore, it could be concluded on the basis of present findings that animals with higher body measurements at initial phases of growth will perform better with respect to even body weight traits at later stages of growth.
This study aims to assess the genetic diversity and population structure of two major zebu dairy breeds (Tharparkar and Rathi) adapted to the arid region of Rajasthan state of India. Various variability estimates indicate the existence of sufficient within-breed genetic diversity. Mean estimates of F-statistics are significantly different from zero: F (IS) = 0.112 +/- 0.029, F (IT) = 0.169 +/- 0.033, F (ST) = 0.065 +/- 0.017. The overall positive value of F (IS) (0.112) and an F (IT) value (0.169) that is more than the F (ST) (0.065) indicate departure from random mating. The drift-based estimates reflect a moderate yet significant level of breed differentiation between the Tharparkar and Rathi breeds. The evaluation of an exact test, showing that allele frequencies across all the loci differed significantly, supports the population differentiation. This is paralleled by the outcome of neighbor-joining clustering based on allele-sharing distance measures. The allocation of a high percentage of individuals (95.7%) to their population of origin and correspondence analysis further substantiates the existence of a cohesive genetic structure in both the breeds.
Aim:To estimate existing within-breed genetic variability in Marwari goats under field conditions and the generated data that can be used to determine genetic relationships with other breed of goats.Materials and Methods:A total of 146 blood samples of goats of Marwari breed were randomly collected from genetically unrelated animals from different villages of Bikaner Districts of Rajasthan, India. Genomic DNA was extracted from whole blood using proteinase K-digestion followed by standard phenol–chloroform extraction procedure at room temperature and confirmed through horizontal electrophoresis on 0.8% agarose gel containing ethidium bromide. Fifteen caprine microsatellite markers were used to estimate genetic variability among the goats of Marwari breed in terms of allelic and genotype frequencies, heterozygosities and polymorphism information content (PIC) value.Results:A total of 74 alleles were contributed by Marwari goat across all 15 microsatellite loci. The number of alleles per locus varied from two (ILSTS-087) to 9 (ILSTS-058) alleles, with a mean of 4.93 whereas the effective number of allele varied from 1.35 (ILSTS-005) to 3.129 (ILSTS011) with a mean of 2.36. The effective number of allele is lesser than observed number at all the loci. Allelic sizes ranged from 125 bp (ILSTS-028 and ILSTS-033) to 650 bp (ILSTS-011 and ILSTS-019). The expected heterozygosity ranged from 0.240 (locus ILSTS-005) to 0.681 (locus ILSTS-011), with an average value of 0.544. The observed heterozygosity (Ho) ranged from 0.1428 (locus ILSTS-087) to 0.9285 (locus ILSTS-034), with an average value of 0.5485 indicates substantial and very good number of heterozygotes, in the population. The highest PIC value (1.1886) was observed at ILSTS-044 locus and least (0.0768) at ILSTS-065 locus for Marwari goat.Conclusion:Microsatellite analysis revealed a high level of polymorphism across studied microsatellite markers and informativeness of the markers for genetic diversity analysis studies in Marwari goats. This high level of polymorphism can be utilized to plan future biodiversity studies to exploit the uniqueness and adaptability of this breed to Western Rajasthan. Most studied microsatellite markers proving to be good candidates for genetic characterization and diversity analysis of this breed of goat.
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