Breeds of Cattle

Total Page:16

File Type:pdf, Size:1020Kb

Breeds of Cattle DANVEER SINGH YADAV Assistant Professor Livestock Production Management College of Veterinary Science and Animal Husbandry MHOW National Dairy Research Institute (NDRI), Karnal Dr. Verghese Kurien. The National Dairy Development Board (NDDB) was created in 1965 Anand (Amul). Operation Flood, (1970 to 1996) for 26 years. CATTLE EXOTIC/ Bos taurus ( Hump less) INDIGINOUS/Zabu/ Bos indicus (Humped) Indian Cattle Breeds Milch breeds Milch and draught breeds (Dual Breed) Draught breeds DEONI Nimari Gaolao Other Dual Purpose breeds Dangi : Nasik Mewati (Kosi) : Alwar Bharatpur, Similar to Hariana. Rathi alwar and rajputana region of Rajasthan Kenkatha Malvi Other Drought Purpose breeds Nagauri (First type of drought cattle) : Rajasthan (Nagore) Bachaur : Bihar Kherigarh : (Lakhimpur Khiri) Punganur : AP Umblechery : TN Red Kandhari :MH Ponwar : (Pilibhit, Lakhimpur) Siri : Sikkim NEW CROSSBRED STRAINS OF CATTLE DEVELOPED IN INDIA S.n BREED CHARACTERISTICS 1 Brown- 3/8-5/8 Brown Swiss x Red Sind Sindhi. 2 Karan Brown Swiss X ( Sahiwal, Red Swiss Sindhi ) at NDRI, Karnal. 3 Karan Fries Cross between Tharparkar X Holstein Friesian at NDRI, Karnal. 4 Sunandini Under Indo-Swiss project in Kerala Brown Swiss X non descript at Kerala. 5 Frieswal 3/8 to 5/8 level of exotic inheritance of Friesian and Sahiwal Murrah NILI-RAVI BHADAWARI SURTI MEHSANA NAGPURI Southern India region TODA S. NO BRRED HOME 1 Bhadawari Uttar Pradesh and Madhya Pradesh 2 Jaffarabadi Gujrat 3 Marathwadi Maharashtra 4 Mehsana Gujarat 5 Murrah Haryana 6 Nagpuri Maharashtra 7 Nili Ravi Punjab 8 Pandharpuri Maharashtra 9 Surti Gujarat 10 Toda Tamilnadu 11 Banni Gujarat 12 Chilika Odisha 13 Kalahandi Odisha Thank you.
Recommended publications
  • 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 .....................................................................................................
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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 •
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Milk Production Management & Dairy Development
    Milk Production Management & Dairy Development MILK PRODUCTION MANAGEMENT & DAIRY DEVELOPMENT Course Developers Y. Ravindra Reddy, D. Suresh Babu & Ashish Makwana AgriMoon App AgriVarsha App App that helps the students to gain the Knowledge App that helps the students to All Agricultural about Agriculture, Books, News, Jobs, Interviews of Competitive Exams IBPS-AFO, FCI, ICAR-JRF, Toppers & achieved peoples, Events (Seminar, SRF, NET, NSC, State Agricultural exams are Workshop), Company & College Detail and Exam available here. notification. Index Lesson Page No Module 1: Introduction to animal husbandry Lesson 1. Introduction, common terms and definitions in animal husbandry. 5-7 Module 2: Breeds of cattle and buffaloes Lesson 2. Distinguishing characters of indian cattles. 8-35 Lesson 3. Buffalo breeds. 36-49 Module 3: Systems of breeding Lesson 4. Inbreeding–out breeding–cross breeding–grading – out crossing 50-51 hybridization–criss crossing–rotational crossing or triple crossing– back crossing – test cross. Lesson 5. Methods of selection of dairy animals – individual selection – pedigree 52-54 selection – progeny testing – family selection. Module 4: General dairy farm practices Lesson 6. Identification, dehorning, castration, exercising, grooming, weighing, 55-63 farm records – maintenance. Lesson 7. Care, management of life stages of dairy animals. 64-66 Module 5: Mammary system Lesson 8. Structure and function of mammary system, milk secretion and milk 67-68 letdown. Module 6: Milking Lesson 9. Methods of milking – manual –mull hand – knuckling –stripping. 69-71 Lesson 10. Milking procedure practices for quality milk production. 72-75 Module 7: Maintenance of hygiene and sanitation Lesson 11. Housing – loose housing, stanchion barn - advantages of each system.
    [Show full text]
  • 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.
    [Show full text]
  • Snomed Ct Dicom Subset of January 2017 Release of Snomed Ct International Edition
    SNOMED CT DICOM SUBSET OF JANUARY 2017 RELEASE OF SNOMED CT INTERNATIONAL EDITION EXHIBIT A: SNOMED CT DICOM SUBSET VERSION 1.
    [Show full text]
  • Pharmacovigilance of Veterinary Medicinal Products
    a. Reporter Categories Page 1 of 112 Reporter Categories GL42 A.3.1.1. and A.3.2.1. VICH Code VICH TERM VICH DEFINITION C82470 VETERINARIAN Individuals qualified to practice veterinary medicine. C82468 ANIMAL OWNER The owner of the animal or an agent acting on the behalf of the owner. C25741 PHYSICIAN Individuals qualified to practice medicine. C16960 PATIENT The individual(s) (animal or human) exposed to the VMP OTHER HEALTH CARE Health care professional other than specified in list. C53289 PROFESSIONAL C17998 UNKNOWN Not known, not observed, not recorded, or refused b. RA Identifier Codes Page 2 of 112 RA (Regulatory Authorities) Identifier Codes VICH RA Mail/Zip ISO 3166, 3 Character RA Name Street Address City State/County Country Identifier Code Code Country Code 7500 Standish United Food and Drug Administration, Center for USFDACVM Place (HFV-199), Rockville Maryland 20855 States of USA Veterinary Medicine Room 403 America United States Department of Agriculture Animal 1920 Dayton United APHISCVB and Plant Health Inspection Service, Center for Avenue P.O. Box Ames Iowa 50010 States of USA Veterinary Biologic 844 America AGES PharmMed Austrian Medicines and AUTAGESA Schnirchgasse 9 Vienna NA 1030 Austria AUT Medical Devices Agency Eurostation II Federal Agency For Medicines And Health BELFAMHP Victor Hortaplein, Brussel NA 1060 Belgium BEL Products 40 bus 10 7, Shose Bankya BGRIVETP Institute For Control Of Vet Med Prods Sofia NA 1331 Bulgaria BGR Str. CYPVETSE Veterinary Services 1411 Nicosia Nicosia NA 1411 Cyprus CYP Czech CZEUSKVB
    [Show full text]
  • Scientific Dairy Farming Practices for the Semi-Arid Tropics
    Scientific Dairy Farming Practices for the Semi-Arid Tropics Compiled by Prakashkumar Rathod Citation:Rathod P. (2019). Scientific Dairy Farming Practices for the Semi-Arid Tropics. Patancheru 502 324, Telangana, India: International Crops Research Institute for the Semi-Arid Tropics. 32 pp. Cover photo: Sahiwal cow: Dr Vivek Patil, LRIC (Deoni), KVAFSU, Bidar Back cover photo: Deoni cow: L Manjunath, Veterinary College, Hassan Contents page photo: Rathi cow: Dr Vivek Patil, LRIC (Deoni), KVAFSU, Bidar © International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), 2019. All rights reserved. ICRISAT holds the copyright to its publications, but these can be shared and duplicated for non-commercial purposes. Permission to make digital or hard copies of part(s) or all of any publication for non-commercial use is hereby granted as long as ICRISAT is properly cited. For any clarification, please contact the Director of Strategic Marketing and Communication at [email protected]. Department of Agriculture, Government of India and ICRISAT’s name and logo are registered trademarks and may not be used without permission. You may not alter or remove any trademark, copyright or other notice Scientific Dairy Farming Practices for the Semi-Arid Tropics Compiled by Prakashkumar Rathod ICRISAT DEVELOPMENT DC CENTER About the author Dr Prakashkumar Rathod - Visiting Scientist, ICRISAT Development Center, Asia program, ICRISAT, Patancheru 502 324, Telangana, India. Acknowledgements We thank Dr Sariput Landge, Maharashtra Animal and Fisheries
    [Show full text]