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Yadav D.K.,ICAR National Bureau of Animal Genetic Resources | Arora R.,ICAR National Bureau of Animal Genetic Resources | Jain A.,ICAR National Bureau of Animal Genetic Resources
Indian Journal of Animal Sciences | Year: 2016

The present study describes the morphometric structure of extensively managed Madgyal sheep of Maharashtra and predicts body weight from their body biometry traits using principal component analysis (PCA). The data on body weight and 13 body measurements were recorded on 200 randomly selected sheep. Phenotypic correlation among body weight and biometric traits were positive and highly significant except some of ear length related combinations. The PCA of morphometric traits extracted two components with a total variance 67.8% explained. The first factor had high loadings for variables related to body size, whereas second factor was loaded in favour of body shape. PCA was able to define the morphological structure of Madgyal sheep and identified traits with greater variability. The principal component based regression models were more appropriate than the use of original correlated variables in predicting the body weight. The findings could be useful in designing management, selection and breeding programmes of the Madgyal sheep. © 2016, Indian Council of Agricultural Research. All rights reserved. Source


Vohra V.,ICAR National Bureau of Animal Genetic Resources | Sodhi M.,ICAR National Bureau of Animal Genetic Resources | Niranjan S.K.,ICAR National Bureau of Animal Genetic Resources | Mishra A.K.,ICAR National Bureau of Animal Genetic Resources | And 3 more authors.
Journal of Applied Animal Research | Year: 2016

Bovine-specific microsatellite markers were used to assess the genetic variation in Belahi cattle. Both within-breed (Belahi) and between-breed (Sahiwal, Gir, Tharparkar, Rathi, Nagori, Mewati, Kankrej and Belahi breeds) diversity indices were estimated. Sixteen microsatellite loci were polymorphic with more than five alleles per locus. Mean allelic diversity was 9.31, with a total of 149 alleles. Polymorphism information content varied from 0.31 (TGLA227) to 0.87 (CSSM33) with an average of 0.71. Estimate of Nei’s gene diversity was 0.72 ± 0.15. The observed and expected heterozygosity at different loci were 0.69 ± 0.17 and 0.71 ± 0.15 and varied from 0.30 (TGLA227) to 0.88 (TGLA122) and 0.32 (TGLA227) to 0.88 (CSSM33), respectively. Within-population inbreeding estimates (FIS) for Belahi cattle was 0.0337, indicating an average deficiency of 3.37%. Belahi cattle revealed the presence of genetic diversity within population and there was no significant heterozygosity excess indicating the absence of genetic bottleneck in the recent past. Global FST estimates demonstrated that 85% of the total variation was contributed by within-breed genetic differentiation, while 15% genetic variation was present across different breeds. Nei’s standard genetic distance estimates among the studied milch breeds varied from 0.27 (Tharparkar and Rathi) to 0.51 (Tharparkar and Sahiwal), whereas in studied dual-purpose breeds, it varied from 0.07 (Kankrej and Mewati) to 0.90 (Belahi and Mewati). Unweighted Pair Group Method with Arithmetic Mean based phylogenetic tree constructed from the Nei’s genetic distances revealed that Sahiwal and Belahi cattle were grouped together in one cluster. However, Kankrej and Mewati were found to be closely related breeds. © 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group Source


Vohra V.,ICAR National Bureau of Animal Genetic Resources | Mishra A.K.,ICAR National Bureau of Animal Genetic Resources | Niranjan S.K.,ICAR National Bureau of Animal Genetic Resources | Chopra A.,ICAR National Bureau of Animal Genetic Resources | And 2 more authors.
Indian Journal of Animal Sciences | Year: 2016

Belahi cattle are medium sized dual utility migratory breed maintained and primarily conserved by Gujjar community in India. The average first lactation milk yield recorded was about 1,071 kg with average daily milk yield and peak yield of 3.45 and 5.5 kg, respectively which is higher than the national average of indigenous cattle. Milk constitutes traits were estimated in pooled milk as 14.38% total solids, 5.25% fat, 3.45% protein and 5.20% lactose, indicating good quality of the milk. However, planned efforts for their genetic improvement are needed to improve gains. Our findings suggests that Belahi cattle has a good milk potential on low input, dual purpose utility, has high socioeconomic relevance and can immensely contribute to the livelihood security of Gujjar pastoralists of the sub Himalayan region. We recommend that these herds should be associated with Progeny Testing program/Open Nucleus Breeding System to explore their full milking potential. Further we recommend, long pending, strong policy support for such migratory groups, as they immensely contribute in economy of the state and in conservation of indigenous cattle genetic resources. Source

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