Genetic diversity and population structure analysis of native and crossbred goat genetic groups of Kerala, India

Radhika, G.; Raghavan, K.C.; Aravindakshan, T. V.; Thirupathy, V.

doi:10.1016/j.smallrumres.2015.08.008

Cited by 17 publications

(12 citation statements)

References 32 publications

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“…Ac-cording to the classification of PIC (low polymorphism if PIC value < 0.25, medium if 0.25 < PIC value < 0.50 and high if PIC value > 0.50), this population possessed high genetic diversity. PIC values calculated in the present investigation were comparable with those reported by Ramamoorthi et al (2009) Radhika et al (2015) reported an average PIC value of 0.77 in Indian native and crossbred goats, and Wang et al (2017) stated a mean PIC of 0.716 in Chinese dairy goats. Conversely, lower PIC values were reported in Indian and Pakistani goat breeds (Ganai and Yadav, 2001;Gour et al, 2006;Naqvi et al, 2017), in goats from Korea and China (Kim et al, 2002) and in South African Angora goats (Visser and van Marle-Koster, 2009).…”

Section: Resultssupporting

confidence: 89%

Genetic characterization of Markhoz goat breed using microsatellite markers

et al. 2018

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Abstract. The use of molecular markers can support the management of endangered populations and should be combined with appropriate breeding strategies to improve productive traits avoiding the decline of the breed. The genetic variability at 10 microsatellite loci were investigated in a sample of 100 unrelated Markhoz goats (77 females and 23 males). The investigated population was reared at the Sanandaj Markhoz goat Performance Testing Station in Kurdistan, Iran. Markhoz goat, a multipurpose breed, is one of the most valuable genetic resources in Iran. All the studied loci were found to be polymorphic and a total number of 52 alleles were identified with an average number of alleles of 5.2. Moreover, some population genetic indices, such as observed and expected heterozygosity, observed and expected number of alleles, Shannon's index, Nei's expected heterozygosity, and polymorphism information content were also calculated. Despite the decreasing population size, Markhoz goat genetic diversity is still conserved. The breed seems to have a good level of genetic variability and, as a consequence, a potential margin of adaptability to environment and for future genetic improvement.

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Section: Resultssupporting

confidence: 89%

Genetic characterization of Markhoz goat breed using microsatellite markers

et al. 2018

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“…The pair-wise N m estimates among Sri Lankan goat populations are presented in Supplementary Table ST1. The averages for the differentiation indices and genetic distances between pairs of populations were similar to South Indian goat populations (Radhika et al, 2015) while much lower than reported for other groups of goat breeds (Li et al, 2002;Canon et al, 2006;Rout et al, 2008;Agha et al, 2008;Serrano et al, 2009;Murital et al, 2015;Bulut et al, 2016;Elbeltagy et al, 2016). These findings are suggestive of low differentiation and higher rate of migration and gene flow among the populations.…”

Section: Genetic Differentiation Phylogeny and Population Structuresupporting

confidence: 65%

Genetic diversity analysis of major Sri Lankan goat populations using microsatellite and mitochondrial DNA D-loop variations

Silva

Dematawewa

Kurukulasuriya

et al. 2017

Small Ruminant Research

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The present study aimed at the genetic characterization of five major goat populations of Sri Lanka including four indigenous populations (Jaffna Local-JFL, Kottukachchiya-KOT, Southern-SLS and North Central-SNC) and one stabilized crossbred (German Boer x indigenous goats, also known as "Sri Lankan Boer"-SLB). Genetic diversity was evaluated using 15 microsatellite markers and the mitochondrial DNA D-loop variation. Allelic diversity and observed and expected heterozygosities were moderate, but less than Eurasian and Indian goat breeds. The overall mean estimated inbreeding coefficient (F IS) was 0.069 and significant heterozygote deficiency was detected in JFL (P < 0.001), KOT (P < 0.01) and SLS (P < 0.05), indicating population-specific drift or selection of the loci assessed. Genetic differentiation among populations was low and the phylogenetic clustering pattern was in line with the geographical location of goat populations. Although pair-wise Cavalli-Sforza and Edwards chord distance clustered SLS and SLB separately from the rest of the populations, Bayesian clustering clearly showed lack of discrete genetic structure in Sri Lankan goat populations despite significant morphological and phenotypic differences among them. Mitochondrial DNA D-loop sequences revealed significantly high haplotype diversity with the existence of maternal haplogroups 'A' and 'B'. Analysis of mtDNA sequences indicated maternal origins of Jaffna Local, Kotukachchiya and Sri Lankan South distinct from the other goat populations.

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“…Kerala has about 1.3 million goats of many different breeds and types kept under a wide range of management systems, hence it is not possible to define a typical southern Indian goat herd. Nevertheless, the Malabari goat breed is a pertinent example due to its development and genetic improvement from crosses between Arabian and southern Indian indigenous animals as an adaptation to regional conditions and needs (Radhika and others 2015). …”

Section: Discussionmentioning

confidence: 99%

Investigation of productivity in a south Indian Malabari goat herd shows opportunities for planned animal health management to improve food security

et al. 2017

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Here the authors report the objective veterinary clinical measurement of productivity in a representative south Indian Malabari goat herd. The authors show failure to meet pragmatic production targets that are commensurate with the animals' genetic potential or adequate to meet the demands of global food security. The authors suggest that this situation may have arisen as a consequence of animal husbandry constraints and protein undernutrition and imply the involvement of nematode parasitism. Benzimidazole resistance was detected in species, showing the need for better understanding of the principles of sustainable helminth parasite control within the southern Indian context. This study highlights the need to understand the true costs of goat production in seasonally resource-poor environments, while also considering its impact on the overall ecosystem in which the animals are placed. They conclude that pragmatic opportunities for improvements in goat production efficiency lie in the development of problem-focused planned animal health and nutrition management.

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Genetic diversity and population structure analysis of native and crossbred goat genetic groups of Kerala, India

Cited by 17 publications

References 32 publications

Genetic characterization of Markhoz goat breed using microsatellite markers

Genetic characterization of Markhoz goat breed using microsatellite markers

Genetic diversity analysis of major Sri Lankan goat populations using microsatellite and mitochondrial DNA D-loop variations

Investigation of productivity in a south Indian Malabari goat herd shows opportunities for planned animal health management to improve food security

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