Indigenous Cattle Breeds
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CATAIR Appendix
CBP and Trade Automated Interface Requirements Appendix: PGA April 24, 2020 Pub # 0875-0419 Contents Table of Changes ............................................................................................................................................4 PG01 – Agency Program Codes .................................................................................................................... 18 PG01 – Government Agency Processing Codes ............................................................................................. 22 PG01 – Electronic Image Submitted Codes.................................................................................................... 26 PG01 – Globally Unique Product Identification Code Qualifiers .................................................................... 26 PG01 – Correction Indicators* ...................................................................................................................... 26 PG02 – Product Code Qualifiers.................................................................................................................... 28 PG04 – Units of Measure .............................................................................................................................. 30 PG05 – Scie nt if ic Spec ies Code .................................................................................................................... 31 PG05 – FWS Wildlife Description Codes ..................................................................................................... -
Country Report on Animal Genetic Resources of India
COUNTRY REPORT ON ANIMAL GENETIC RESOURCES OF INDIA DEPARTMENT OF ANIMAL HUSBANDRY & DAIRYING MINISTRY OF AGRICUCLTURE GOVERNMENT OF INDIA Preparation of Country Report on AnGR Training for the preparation of Country Report was provided by the FAO (at Bangkok) to three Scientists viz. Dr. D K Sadana, PS from NBAGR, Dr. A. Batobyal, Jt. Commissioner, GOI and Dr. Vineet Bhasin, Sr. Scientist, ICAR. The NBAGR, Karnal was identified as the Nodal Institute to prepare the draft Country Report. The scientists of the Animal Genetic Resources Division prepared answers to the background questions, collected livestock data from various sources, examined, discussed and compiled the received input. Chief Nodal Officers of the five regions of the country (North, West, South, East and North East) were identified to coordinate the collection of information from the Nodal Officers (Data contributors) from different states of the Country. Three national workshops were organized, two at NBAGR, Karnal and one at UAS, Bangalore.In the National Workshops, the Nodal Officers from different states were given training and guidelines for answering the background questions. Subsequently, the Draft Report was updated with the details received from nodal officers and other data contributors. Following scientists have contributed in writing and preparation of the Draft Country Report on AnGR: 1. Dr. V.K. Taneja, DDG (AS), ICAR, New Delhi 2. Dr. S.P.S. Ahlawat, Director, NBAGR, National Coordinator 3. Dr. D.K. Sadana, P.S., Organising Secretary 4. Dr. Anand Jain, Sr. Scientist & Support Scientist for NE Region 5. Dr. P.K. Vij, Sr. Scientist & Chief Nodal Officer - Northern Region 6. -
Evaluation of Genetic Variability in Kenkatha Cattle by Microsatellite Markers
1685 Asian-Aust. J. Anim. Sci. Vol. 19, No. 12 : 1685 - 1690 December 2006 www.ajas.info Evaluation of Genetic Variability in Kenkatha Cattle by Microsatellite Markers A. K. Pandey*, Rekha Sharma, Yatender Singh, B. Prakash and S. P. S. Ahlawat Core Lab, National Bureau of Animal Genetic Resources, Karnal-132 001, Haryana, India ABSTRACT : Kenkatha cattle, a draft purpose breed, which can survive in a harsh environment on low quality forage, was explored genetically exploiting FAO-suggested microsatellite markers. The microsatellite genotypes were derived by means of the polymerase chain reaction (PCR) followed by electrophoretic separation in agarose gels. The PCR amplicons were visualized by silver staining. The allelic as well as genotypic frequencies, heterozygosities and gene diversity were estimated using standard techniques. A total of 125 alleles was distinguished by the 21 microsatellite markers investigated. All the microsatellites were highly polymorphic with mean allelic number of 5.95±1.9 (ranging from 3-10 per locus). The observed heterozygosity in the population ranged between 0.250 and 0.826 with a mean of 0.540±0.171, signifying considerable genetic variation. Bottleneck was examined assuming all three mutation models which showed that the population has not experienced bottleneck in recent past. The population displayed a heterozygote deficit of 21.4%. The study suggests that the breed needs to be conserved by providing purebred animals in the breeding tract. (Key Words : Cattle, Genetic Variation, Kenkatha, Microsatellite) INTRODUCTION breeds. Widespread use of cross breeding, destruction of traditional production systems and a general thrust towards India has several indigenous cattle populations management systems which rely on greater inputs placed associated with different geographical areas. -
Dr Bhushan Tyagi Pptgoi 23.2.2016
Government of India Ministry of Agriculture and Farmers Welfare Department of Animal Husbandry, Dairying and Fisheries NPBB and related CSS: Target & Budget provisions vis a vis current implementation status Date: 23rd February 2017 Venue: Anand, Gujarat DADF SCHEMES NATIONAL PROGRAMME FOR BOVINE BREEDING & DAIRY DEVELOPMENT (NPBBDD) o NATIONAL PROGRAMME FOR BOVINE BREEDING (NPBB) o RASHTRIYA GOKUL MISSION (RGM) NATIONAL KAMDHENU BREEDING CENTRE (NKBC) NATIONAL MISSION ON BOVINE PRODUCTIVITY (NMBP) 2 National Programme for Bovine Breeding (NPBB) & Rashtriya Gokul Mission (RGM) NPBB Components 1. Extension of field AI network 2. Strengthening of existing AI centres 3. Monitoring of AI Program 4. Development & Conservation of Indigenous Breeds 5. Managerial Grants to SIA and Grants linked to Activities 6. Manpower Development 7. Strengthening LN Transport and Distribution system 8. Procurement of Bulls for NS & AI 9. Control of infertility & reduction of intercalving period Monitoring of AI Program Key Performance Indicator EOP Target (As per approved Project Plan) Identification of females covered 25548000 through AI Identification of AI born calves 10409000 Tagging Applicators 72928 Data entry (No. of Transactions) 10051100 Computerization for implementation of 11685 INAPH (Data centers) RASHTRIYA GOKUL MISSION PRESENT STATUS •299.9 MILLION BOVINES •191 MILLION CATTLE •108.7 Million Buffaloes • 0.30 Million Mithuns • 0.1 Million Yak • 151.17 million indigenous Cattle (83% of Total Cattle Population) • INDIGENOUS GENETIC RESOURCES • -
Study of Certain Reproductive and Productive Performance Parameters
The Pharma Innovation Journal 2020; 9(9): 270-274 ISSN (E): 2277- 7695 ISSN (P): 2349-8242 NAAS Rating: 5.03 Study of certain reproductive and productive TPI 2020; 9(9): 270-274 © 2020 TPI performance parameters of malnad gidda cattle in its www.thepharmajournal.com Received: 21-06-2020 native tract Accepted: 07-08-2020 Murugeppa A Murugeppa A, Tandle MK, Shridhar NB, Prakash N, Sahadev A, Vijaya Associate Professor and Head, Department of Veterinary Kumar Shettar, Nagaraja BN and Renukaradhya GJ Gynaecology and Obstetrics, Veterinary College, Shivamogga, Abstract Karnataka, India The study was conducted to establish baseline information pertaining to productive and reproductive performance of Malnad Gidda and its crossbred in Shivamogga District of Karnataka. The data from 286 Tandle MK animals reared by 98 farmers from Thirtahalli, Hosanagara and Sagara taluks of Shivamogga district Director of Instruction (PGS), Karnataka Veterinary Animal were collected through a structured questionnaire. The parameters such as age at puberty (25.15±0.29 and Fisheries University, Bidar, months); age at first calving (39.32±2.99 months); dry period (6.22±1.26 months); calving interval Karnataka, India (13.68±2.55 months); gestation period (282.14±9.03 days); service period (136.73±10.03 days); lactation length (258.22 ± 10.95 days); milk yield per day (3.69±0.32 kg); total milk yield (227.19±8.31 kg); days Shridhar NB to reach peak milk yield (46.19±0.51 day); birth weight of the new born calf (8.71±0.45 kg); time taken Professor and Head, Department for placental expulsion of placenta (4.63±0.39 hours); onset of postpartum estrous (77.64±1.98 days); of Veterinary Pharmacology and Duration of estrous period (15.25±1.67 hours); time of ovulation (15.15 ± 1.7 hours) and length of estrus Toxicology, Veterinary College cycle (22.63±2.96. -
Vol. 13 No. 2 7 Hematological Studies on Malnad Gidda Breed of Cattle In
The Indian Journal of Veterinary Sciences & Biotechnology (2017) Volume 13, Issue 2, 7-11 ISSN (Print) : 2394-0247 : ISSN (Print and online) : 2395-1176, abbreviated as IJVSBT http://dx.doi.org/10.21887/ijvsbt.v13i2.10041 Submitted : 17-06-2017 Accepted : 21-08-2017 Published : 15-11-2017 Hematological Studies on Malnad Gidda Breed of Cattle in Karnataka K. Hemanth Gowda, M. Narayanaswamy, T. Veena, A. Krishnaswamy, C. S. Nagaraja, N. B. Sridhar, K. Ganesh and G. P. Kalmath Department of Veterinary Physiology, Veterinary College, Hebbal, Bangalore-24, Karnataka, India. Corresponding Author: [email protected] This work is licensed under the Creative Commons Attribution International License (http:// creativecommons.org/licenses /by/4.0/P), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. Copyright @: 2017 by authors and SVSBT. Abstract The present study was conducted to establish the base line hematological values in Malnad Gidda cattle during winter and summer seasons under the agro-climatic condition of Western Ghats of Karnataka. Thirty healthy Malnad Gidda cattle divided into five groups based on age, sex and lactation. The mean values of TEC, Hb, PCV, ESR, TLC and eosinophil per cent were significantly (P<0.05) higher in adult animals than young animals in both sexes. But, MCV was significantly (P<0.05) higher in young compared to adult animals. The mean values of MCH, MCHC, neutrophil, basophil, monocyte and lymphocyte per cent did not vary significantly among the age groups and among the gender. The mean values of all the above parameters between sexes within age groups and between the seasons were not significantly different. -
Unit 6 Animal Husbandry
UNIT 6 ANIMAL HUSBANDRY Structure Introduction Objectives DairyingIDairy Farming Animal By-Products Cattle Breeding Development of Dairy Industry In India Poultry Development Sheep Development Piggery Development Fishery Development Cattle Insurance Summary Answers to SAQs - 6.1 INTRODUCTION The origin of livestock wealth is as old as the evolution of human society. !n fact, this living wealth and the human society are interdependent. There is no denyir g the fact the livestock wealth apart from being the main source of National health is a tc 3k of economic prosperity specially in a country like India, where about 82 percent of the p: ~pulationis ruralite and the economy is agro-based. The present status of animal husbas ndry and dairy enterprise has emerged out of age old development activities. In this unit, not only the dairying activity, but all the allied activities like pot~ltry development, piggery development, sheep development, fisheries developm :nt, dairy industry and cattle insurance have been taken. Objectives After studying this unit, you should be able to explain present system of dairy farming in India, list various dairy products, discuss development of dairy industry in different five year plans., describe the present status of poultry, sheep, piggery, catile,and fisher J farming, discuss the role of insurance in dairying, and discuss problems and prospects of dairy industry. 6.2 DAIRYINGIDAIRY FARMING This section deals with the history of cattle and buffaloes, their classification aczo ding to the purpose of keeping cattle, milk production and its utilisation, animal by-produc ts, cattle breeding and dairy industry. The Pre-historic Draft Concept Indian cattle cannot be studied without delving deep into over 5000 years of history snd understanding the cattle needs of the country of those days. -
Genetic Diversity Study of Indigenous Cattle (Gir and Kankrej) Population of Rajasthan Using Microsatellite Markers
African Journal of Biotechnology Vol. 11(97), pp. 16313-16319, 4 December, 2012 Available online at http://www.academicjournals.org/AJB DOI: 10.5897/AJB12.2618 ISSN 1684–5315 ©2012 Academic Journals Full Length Research Paper Genetic diversity study of indigenous cattle (Gir and Kankrej) population of Rajasthan using microsatellite markers Mona Upreti1, Farah Naz Faridi2*, S. Maherchandani3, B. N. Shringi4 and S. K. Kashyap5 Department of Veterinary Microbiology and Biotechnology, Rajasthan University of Veterinary and Animal Sciences, Bikaner, 334001, Rajasthan, India. Accepted 30 November, 2012 The genetic diversity study of native Gir and Kankrej (Bos indicus) cattle populations were evaluated using nine microsatellite markers (ETH-225, CSRM-60, HEL-9, INRA-005, ETH-10, HAUT-24, BM1818, ILSTS-002 and ILSTS-006) suggested by FAO (ISAG). A total of 60 cattle were sampled from different places of local Rajasthan region. For each, 30 individuals were sampled. The mean number of observed and effective alleles in Kankrej were high (5.222 and 3.714) comparatively and the average expected heterozygosity values (0.5403) indicated high diversity in the Kankrej population than Gir (0.4520). High polymorphism information content (PIC) values observed for most of the markers with an average of 0.5116 are indicative of high polymorphism of these markers in Kankrej breed than in Gir (0.4202), which showed high informativeness of all the microsatellite markers in Kankrej breed. Three microsatellites markers (HAUT24, BM1818 AND ILSTS006) did not show amplification in both breeds. INRA005 was the only markers amplified in Kankrej. The allele diversity (mean observed number of alleles was 6.11; mean effective number of alleles was 5.187) and gene diversity (0.2771) values implied a substantial amount of genetic variability in both populations. -
Bos Indicus) Breeds
Animal Biotechnology ISSN: 1049-5398 (Print) 1532-2378 (Online) Journal homepage: http://www.tandfonline.com/loi/labt20 Complete mitogenome reveals genetic divergence and phylogenetic relationships among Indian cattle (Bos indicus) breeds R. Kumar Pramod, Dinesh Velayutham, Sajesh P. K., Beena P. S., Anil Zachariah, Arun Zachariah, Chandramohan B., Sujith S. S., Ganapathi P., Bangarusamy Dhinoth Kumar, Sosamma Iype, Ravi Gupta, Sam Santhosh & George Thomas To cite this article: R. Kumar Pramod, Dinesh Velayutham, Sajesh P. K., Beena P. S., Anil Zachariah, Arun Zachariah, Chandramohan B., Sujith S. S., Ganapathi P., Bangarusamy Dhinoth Kumar, Sosamma Iype, Ravi Gupta, Sam Santhosh & George Thomas (2018): Complete mitogenome reveals genetic divergence and phylogenetic relationships among Indian cattle (Bos indicus) breeds, Animal Biotechnology, DOI: 10.1080/10495398.2018.1476376 To link to this article: https://doi.org/10.1080/10495398.2018.1476376 View supplementary material Published online: 23 Jun 2018. Submit your article to this journal View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=labt20 ANIMAL BIOTECHNOLOGY https://doi.org/10.1080/10495398.2018.1476376 ORIGINAL ARTICLE Complete mitogenome reveals genetic divergence and phylogenetic relationships among Indian cattle (Bos indicus) breeds R. Kumar Pramoda, Dinesh Velayuthama, Sajesh P. K.a, Beena P. S.a, Anil Zachariahb, Arun Zachariahc, Chandramohan B.d, Sujith S. S.a, Ganapathi P.e, Bangarusamy Dhinoth Kumara, Sosamma Iypeb, Ravi Guptaf, Sam Santhoshg and George Thomasg aAgriGenome Labs Pvt. Ltd., Smart City Kochi, India; bVechur Conservation Trust, Thrissur, India; cDepartment of Forest and Wildlife, Wayanad, Kerala, India; dNational Institute of Science Education and Research, Jatni, India; eBargur Cattle Research Station, Tamil Nadu Veterinary Animal Sciences University, Chennai, India; fMedgenome Labs Pvt. -
The Science of A2 Beta Casein
Indian Journal of Open Science Publications Nutrition Volume 7, Issue 1 - 2020 © Sridharan P, et al. 2020 www.opensciencepublications.com The Science of A2 Beta Casein - A Critical Review of Global Data and Outcomes of Indian Study Review Article Pranesh Sridharan1* and Chidananda BL2 1Mathruka Cattle Farm & Research Center, India 2Department of Animal Sciences, University of Agricultural Sciences, GKVK, Bangalore, India *Corresponding author: Pranesh Sridharan, Mathruka Cattle Farm & Research Center, Bengaluru, India; E-mail: dr.pranesh@ gmail.com Article Information: Submission: 07/01/2020; Accepted: 15/02/2020; Published: 18/02/2020 Copyright: © 2020 Sridharan P, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Milk provides wholesome nutrition, rich in proteins, vitamins and calcium. Recent research has shown milk to be a risk factor for diseases as well. The new insights on A1 and A2 Beta-Casein proteins in milk has triggered significant interest globally in A2 milk, which is considered safe. This is a first comprehensive Indian study on A2 and A1 milk, encompassing review of published literature, genetic study of cattle in India and impact of A1 and A2 milk on health of individuals. Review of over 60 published in-vivo, in-vitro and epidemiological studies indicate that A1 Beta-casein triggers the opioid peptide cascade, leading to endogenous production of the opioid peptide BCM-7, that aggravates the risk factors of Type 1 Diabetes, IDDM, CHD, Autism, neurological disorders and hormonal imbalances.The risks associated with A1 protein have not been associated with A2 beta-casein. -
Heritage of Mysore Division
HERITAGE OF MYSORE DIVISION - Mysore, Mandya, Hassan, Chickmagalur, Kodagu, Dakshina Kannada, Udupi and Chamarajanagar Districts. Prepared by: Dr. J.V.Gayathri, Deputy Director, Arcaheology, Museums and Heritage Department, Palace Complex, Mysore 570 001. Phone:0821-2424671. The rule of Kadambas, the Chalukyas, Gangas, Rashtrakutas, Hoysalas, Vijayanagar rulers, the Bahamanis of Gulbarga and Bidar, Adilshahis of Bijapur, Mysore Wodeyars, the Keladi rulers, Haider Ali and Tipu Sultan and the rule of British Commissioners have left behind Forts, Magnificient Palaces, Temples, Mosques, Churches and beautiful works of art and architecture in Karnataka. The fauna and flora, the National parks, the animal and bird sanctuaries provide a sight of wild animals like elephants, tigers, bisons, deers, black bucks, peacocks and many species in their natural habitat. A rich variety of flora like: aromatic sandalwood, pipal and banyan trees are abundantly available in the State. The river Cauvery, Tunga, Krishna, Kapila – enrich the soil of the land and contribute to the State’s agricultural prosperity. The water falls created by the rivers are a feast to the eyes of the outlookers. Historical bakground: Karnataka is a land with rich historical past. It has many pre-historic sites and most of them are in the river valleys. The pre-historic culture of Karnataka is quite distinct from the pre- historic culture of North India, which may be compared with that existed in Africa. 1 Parts of Karnataka were subject to the rule of the Nandas, Mauryas and the Shatavahanas; Chandragupta Maurya (either Chandragupta I or Sannati Chandragupta Asoka’s grandson) is believed to have visited Sravanabelagola and spent his last years in this place. -
Animal Breeding Policies and Strategies in Bangladesh
Animal Breeding Policies and Strategies in South Asia Edited by Nure Alam Siddiky SAARC Agriculture Centre (SAC) South Asian Association for Regional Cooperation i Animal Breeding Policies and Strategies in South Asia Regional Expert Consultation on Animal Breeding Polices and Strategies for the Genetic Improvement of Indigenous Animal Resources in South Asia held on 11-13 April 2018 at Hotel da yatra, Pokhara, Nepal Edited by Nure Alam Siddiky Senior Program Officer SAARC Agriculture Centre 2018 @ 2018 SAARC Agriculture Centre Published by the SAARC Agriculture Centre (SAC), BARC Complex, New Airport Road, Farmgate, Dhaka-1215, Bangladesh (www.sac.org.bd) All rights reserved No part of this publication may be reproduced, stored in retrieval system or transmitted in any form or by any means electronic, mechanical, recording or otherwise without prior permission of the publisher Citation Siddiky, N.A., ed. (2018). Animal Breeding Policies and Strategies in South Asia. SAARC Agriculture Centre, Dhaka-1215, Bangladesh, p.172 The book contains the papers and proceedings of the regional expert consultation meeting on animal breeding policies and strategies for the genetic improvement of indigenous animal resources in South Asia held on 11-13 April 2018 at Hotel da yatra, Pokhara, Nepal organized by SAARC Agriculture Centre, Dhaka, Bangladesh. The authors for country paper preparation and presentation were the focal point experts nominated by respective SAARC Member States. The opinions expressed in this publication are those of the authors and do not imply any opinion whatsoever on the part of SAC, especially concerning the legal status of any country, territory, city or area or its authorities, or concerning the delimitation of its frontiers or boundaries.