Population structure, genetic variation and management of Marwari goats

Kumar, Dinesh; Dixit, S. P.; Sharma, Rekha; Pandey, Anjula; Sirohi, Geetu; Patel, A.K.; Aggarwal, R. A. K.; Verma, Naresh K.; Gour, Digpal Singh; Ahlawat, Sonika

doi:10.1016/j.smallrumres.2004.11.013

Cited by 39 publications

(21 citation statements)

References 21 publications

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“…The high level of F IS explains the deviation from HWE because the same populations with high and significant F IS values (that is, Sukuma) had many loci that deviate from HWE. The F IS values obtained in the present study are generally comparable with the values of 0.019-0.105 reported in West African local goats (Missohou et al, 2011), and of 0.05-0.07 reported in Gujarat Indian breeds (Fatima et al, 2008), but were lower than the value of 0.2 reported in Southern Indian breeds (Dixit et al, 2010) and 0.264 reported in Marwari (Kumar et al, 2005).…”

Section: Discussionsupporting

confidence: 86%

Assessment of genetic variation among four populations of Small East African goats using microsatellite markers

Nguluma

Huang²,

Zhao³

et al. 2018

SA J. An. Sci.

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The majority of goats in Tanzania belong to the Small East African (SEA) breed, which exhibits large phenotypic variation. This study aimed to determine the genetic structure of, and relationships among four populations (Sukuma, Gogo, Sonjo, and Pare) of the SEA breed that have not been studied adequately. A total of 120 individuals (24 from each population) were analysed at eight microsatellite loci. In addition, 24 goats of the South African Boer breed were used as reference. Observed heterozygosity (Ho) ranged from 0.583 ± 0.04 for Sukuma to 0.659 ± 0.030 for Gogo, while expected heterozygosity (He) ranged from 0.632 ± 0.16 for Sukuma to 0.716 ± 0.16 for Boer. Five loci deviated from Hardy-Weinberg equilibrium (HWE) across populations. The mean number of alleles ranged from 4.75 ± 1.58 for Pare to 6.88 ± 3.00 for Sukuma. The mean inbreeding coefficient (F IS ) ranged from 0.003 in Sonjo to 0.148 in Sukuma. The differentiation coefficient (F ST ) was highest (0.085) between Boer and Sukuma and lowest (0.008) between Gogo and Sonjo. The largest genetic distance (0.456) was found between Sukuma and Boer, while the smallest (0.031) was between Gogo and Sonjo populations. Pare, Gogo, and Sonjo populations, formed one cluster, while Sukuma and Boer populations formed two separate clusters. From the findings, it can be concluded that the SEA goats in this study showed high in population genetic variation, which implies that there is good scope for their further improvement through selection within populations. The Sukuma population, which has fairly high inbreeding, is moderately differentiated from Pare, Sonjo, and Gogo goat populations, which showed a high level of admixture. Conservation and improvement strategies of the goats should be designed with first priority being on Sukuma goats.

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Section: Discussionsupporting

confidence: 86%

Assessment of genetic variation among four populations of Small East African goats using microsatellite markers

Nguluma

Huang²,

Zhao³

et al. 2018

SA J. An. Sci.

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“…Another measure of genetic variation is observed heterozygosity. This population had higher mean observed heterozygosity than what was observed in Jakhrana and Marwari [19] , Attapady [1] and many other Asian goats [3] but lower in Chegu breed of goat {4]…”

Section: Discussionmentioning

confidence: 82%

Genetic Diversity Analysis of the Gohilwari Breed of Indian Goat (Capra hircus) Using Microsatellite Markers

Kumar¹,

Dixit²,

Verma³

et al. 2009

American J. of Animal and Veterinary Sciences

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Problem statement: Gohilwari breed of goat is a multipurpose goat mainly for milk and meat purposes and best suited in its harsh climatic condition. This breed is inadequately characterized till now at DNA level. So the present study was undertaken for population genetic analysis at molecular level to exploit the breed for planning sustainable improvement, conservation and utilization, which subsequently can improve the livelihood of its stake holders.

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“…Except two loci, ILSTS005 and OarJMP 29, the other 21 loci showed more than four alleles which indicated the ample genetic variability within the population studied. Lesser than four number of alleles at the loci ILSTS005 and OarJMP29 was also reported in other Indian breeds like Marwari (Kumar et al, 2005a), Kutchi (Dixit et al, 2008b), Zalawadi, Gohilwadi and Surti (Fatima et al, 2008) and in exotic breeds, Angora and Saanen (Luikart et al, 1999). Seventeen loci showed significant deviation from Hardy -Weinberg equilibrium (P<0.0.01).…”

Section: Resultsmentioning

confidence: 50%

Genetic characterization of local goats of Karnataka by microsatellite marker analysis

Rout

Jayashankar

Nagaraja

et al. 2018

IJAR

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The diversity status of local goats of Karnataka was studied by using microsatellite marker analysis. The genomic DNA from unrelated local goats were PCR-amplified with a panel of 23 microsatellite markers. Microsatellite PCR products were multiplexed and run on capillary based genetic analyser and the raw data obtained was analysed. Totally 158 alleles were observed and the number of alleles ranged from three (ILSTS005 and OarJMP29) to 13 (RM088). The number of effective alleles ranged from 2.25 (ILSTS005)

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Population structure, genetic variation and management of Marwari goats

Cited by 39 publications

References 21 publications

Assessment of genetic variation among four populations of Small East African goats using microsatellite markers

Assessment of genetic variation among four populations of Small East African goats using microsatellite markers

Genetic Diversity Analysis of the Gohilwari Breed of Indian Goat (Capra hircus) Using Microsatellite Markers

Genetic characterization of local goats of Karnataka by microsatellite marker analysis

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