Genetic diversity and relationship among Indian goat breeds based on microsatellite markers

Dixit, S. P.; Verma, Naresh K.; Aggarwal, R. A. K.; Vyas, M.K.; Rana, Jyoti; Sharma, Anjani Kumar

doi:10.1016/j.smallrumres.2011.11.026

Cited by 46 publications

(48 citation statements)

References 21 publications

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“…Also, this results are in agreement with that found by Dixit et al, (2012), in a similar study in 22 Indian goats, which found that the genetic diversity ranged from 0.61 in Osmanabadi up to 0.73 in Sirohi. The expected heterozygosity reached the maximum value in locus RM088 and the minimum one in locus OARE129, the average value was 0.65.…”

Section: Molecular Characterizationsupporting

confidence: 93%

Molecular and Morphological Characteristics of Aradi Goats with Prediction Equation of Growth Pattern

El-Zarei¹,

Mousa²

2017

IJB

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To specify morphological characteristics and choose preferable growth equation for kids up to 24 weeks of age, in Aradi goats, 338 kids of fathered by 25 sires and mothered by 153 does were used. Also, 74 individuals used in assisted with 29 microsatellites markers to identify molecular characterization. Results illustrated the linear equation was preferable according to easy compute, have two linear additive parameters and equation accuracy. The accuracy of that equation was very high ranged from 0.996 and 0.993 for predicted weights in male and female, respectively. Five loci showed only three alleles for each, while the rest of markers ranged from 13 alleles in loci CSRD247 and RM088 to four alleles in locus ILSTS011. The average of observed heterozygosity was 0.63 ranged 0.89 in BM2113 locus to 0.17 in ILSTS002 locus. The expected heterozygosity reached the maximum value in locus RM088 and the minimum one in locus OARE129, the average value was 0.65. The polymorphic information content values ranged from 0.85 (RM088) to 0.22 (OARE129). Thus, the investigation on a set of 29 microsatellites revealed high degree of genetic variability in Aradi goat indicating an important indigenous genetic resource.

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Section: Molecular Characterizationsupporting

confidence: 93%

Molecular and Morphological Characteristics of Aradi Goats with Prediction Equation of Growth Pattern

El-Zarei¹,

Mousa²

2017

IJB

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“…Several studies have successfully used microsatellite molecular markers to characterize the genetic diversity between breeds and species of livestock (Li et al, 2000;Baumung et al, 2006;Yang et al, 2008;Sollero et al, 2008;Arora et al, 2010;Kugonza et al, 2011;Dixit et al, 2012;Souza et al, 2012) because these markers have high polymorphism, co-dominant inheritance, abundance in the genome, selectively neutral behavior, easy access, and high reproducibility (Dodgson et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity of Colombian sheep by microsatellite markers

Ocampo

Cardona

Martínez

2016

Chilean J. Agric. Res.

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“…Using the three first PC, the mean pairwise distance between the individuals from the Pinzgau population was plotted ( Figure 2). First three PC are the most informative plotting on a three-dimensional scatter diagram to allow visual inspection of the relationships among the breed (Dixit et al, 2012). The PCA is used to characterize how different multiple populations are, often using only the two first PC (Albrechtsen et al, 2010).…”

Section: Resultsmentioning

confidence: 99%

Genomic Determination of the Most Important Father Lines of Slovak Pinzgau Cows

Kukučková¹,

Moravčíková²,

Kasarda³

2016

AGR

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The aim of this study was to assess genetic structure of Slovak Pinzgau population based on polymorphism at molecular markers using statistical methods. Female offspring of 12 most frequently used bulls in Slovak Pinzgau breeding programme were investigated. Pinzgau cattle were found to have a high level of diversity, supported by the number of alleles observed across loci (average 5.31, range 2-11) and by the high within-breed expected heterozygosity (average 0.66, range 0.64-0.73). The state of genetic diversity is satisfying and standard for local populations. Detection of 12 possible subpopulation structures provided us with detailed information of the genetic structure. The Bayesian approach was applied, detecting three, as the most probable number of clusters. The similarity of each subpopulation using microsatellites was confirmed also by high-throughput molecular data. The observed inbreeding (F ROH =2.3%) was higher than that expected based on pedigree data (F PED =0.4%) due to the limited number of available generations in pedigree data. One of the most important steps in development of efficient autochthonous breed protection programs is characterization of genetic variability and assessment of the population structure. The chosen set of microsatellites confirmed the suitability in determination of the subpopulations of Pinzgau cattle in Slovakia. The state of genetic diversity at more detailed level was successfully performed using bovineSNP50 BeadChip.

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Genetic diversity and relationship among Indian goat breeds based on microsatellite markers

Cited by 46 publications

References 21 publications

Molecular and Morphological Characteristics of Aradi Goats with Prediction Equation of Growth Pattern

Molecular and Morphological Characteristics of Aradi Goats with Prediction Equation of Growth Pattern

Genetic diversity of Colombian sheep by microsatellite markers

Genomic Determination of the Most Important Father Lines of Slovak Pinzgau Cows

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