Conservation of 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. -
Influence of Non-Genetic Factors on Lactation Period and Dry Period In
Journal of Entomology and Zoology Studies 2019; 7(2): 524-528 E-ISSN: 2320-7078 P-ISSN: 2349-6800 Influence of non-genetic factors on lactation JEZS 2019; 7(2): 524-528 © 2019 JEZS period and dry period in Gangatiri cattle breed at Received: 04-01-2019 Accepted: 08-02-2019 organized farm, Arajiline, Varanasi Ravi Ranjan M.Sc (Animal Genetics & Breeding) Scholar, Department Ravi Ranjan, Dr. Rampal Singh, Dr. Saravjeet Herbert, Anuj Kumar of Animal Husbandry & Shukla and Vikash Kumar Dairying, SHUATS Allahabad, Uttar Pradesh, India Abstract Dr. Rampal Singh The present study was conducted on “Influrnce of non-genetic factors on lactation period and dry period Assistant Professor, Animal in Gangatiri cattle breed at organized farm, Arajiline, Varanasi”. The data were collected from the history Genetics & Breeding Department sheets of 40 cow maintained in State Livestock Cum Agricultural Farm Arajiline, Varanasi, for the of Animal Husbandry & period from 2003 to 2010 to determine the effect of period of birth and effect of season of birth on Dairying, SHUATS Allahabad, lactation period and dry period. There is no significant effect of period of birth on lactation period and Uttar Pradesh, India dry period. Similarly non-significant effect of season of birth on lactation period and dry period. Dr. Saravjeet Herbert Professor, Animal Genetics & Keywords: Gangatiri cow, period of birth, season of birth, lactition period, dry period Breeding Department of Animal Husbandry & Dairying, Introduction SHUATS Allahabad, Uttar India is a rural based country, two third of its population resides in rural areas. The rural Pradesh, India economy mainly depends on agriculture. -
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. -
LPM-601 : Important Breeds of Cattle and Buffaloes
IMPORTANT BREEDS OF CATTLE AND BUFFALOES (LPM-601) Dr. S. P. Sahu, M.V.Sc., Ph.D. (LPM) Assistant Professor Department of LPM Bihar Veterinary College, Patna- 800 014 www.basu.org.in Population of Cattle (20th Livestock Census) Total Livestock population- 535.78 million (increase of 4.6% over Livestock Census 2012). Total number of cattle -192.49 million in 2019 (increase of 0.8 % over previous Census). Exotic/Crossbred and Indigenous/Non-descript Cattle population - 50.42 million and 142.11 million; respectively. Decline of 6 % in the total Indigenous (both descript and non- descript) Cattle. Classification of breeds of cattle on the basis of type of horns (Payne,1970): Short-horned zebu: Bachaur, Hariana, Krishna Valley, Gaolao, Nagori, Mewati, Ongole and Rathi. Lateral-horned zebu: Gir, Red Sindhi, Sahiwal, Dangi, Deoni, Nimari Lyre-horned zebu: Kankrej, Malvi, Tharparkar Long-horned zebu: Amritmahal, Hallikar, Kangayam and Khillari Small short-horned/lyre-horned zebu: Ponwar, Punganoor, Shahabadi, Kumauni Classification of breeds of Cattle on the basis of their utility: MILCH BREEDS OF CATTLE Sahiwal Original breeding tract in Montgomery district (Pakistan), Ferozepur and Amritsar districts in Punjab. Heavy breed, heavy body confirmation, typical coat colour is red/brown, head is medium sized, horns are short and stumpy. Dewlap is large and pendulous, hump in males is massive and droops on one side, tail is long almost touching the ground, navel flap is loose and hanging, udder is well developed. The average milk yield of this breed is between 1700 and 2700 kgs in lactation period of 300 days. Red Sindhi Original breeding tract in Karachi (Pakistan). -
Mapping the Density and Distribution of Indigenous Cattle Population Using Geographic Information System (GIS) Tools
Current Journal of Applied Science and Technology 39(3): 54-63, 2020; Article no.CJAST.54777 ISSN: 2457-1024 (Past name: British Journal of Applied Science & Technology, Past ISSN: 2231-0843, NLM ID: 101664541) Mapping the Density and Distribution of Indigenous Cattle Population Using Geographic Information System (GIS) Tools B. Gopalakrishnan1,2, M. P. Sugumaran1*, Balaji Kannan3, M. Thirunavukkarasu4 and V. Davamani1 1Department of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India. 2ICAR - National Institute of Abiotic Stress Management, Baramati, Maharashtra, India. 3Agricultural Engineering College and Research Institute, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India. 4Department of Veterinary and Animal Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India. Authors’ contributions This work was carried out in collaboration among all authors. Author BG designed the study, performed the survey, data collection, compilation, data processing, map generation and wrote the first draft of the manuscript. Author MPS managed the literature searches, manuscript improvement and supervised the overall work. Author BK handled the data processing, map preparation and manuscript improvement. Authors MT and VD reviewed the work and provided critical comments for improvement. All authors read and approved the final manuscript. Article Information DOI: 10.9734/CJAST/2020/v39i330514 Editor(s): (1) Dr. Osama A. M. Ali, Menoufia University, Egypt. Reviewers: (1) Idowu Peter Ayodeji, Tshwane University of Technology, South Africa. (2) Kamran Baseer Achakzai, Pakistan. Complete Peer review History: http://www.sdiarticle4.com/review-history/54777 Received 21 December 2019 Accepted 28 February 2020 Original Research Article Published 12 March 2020 ABSTRACT Aim:The current research aims to map the density and distribution of indigenous cattle population using GIS technique. -
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. -
Community Conservation of Animal Breeds in Tamil Nadu
Community Conservation of Animal Breeds in Tamil Nadu P. Vivekanandan SEVA, Madurai, Tamil Nadu Indian Pastoralists Raikas in Rajasthan – Camels Rabaris in Gujarat – Gir, Kankrej cattle Van Gujars in Himalayas – Buffalo Gaddis in Shiwalik Hills – Sheep / goat Ladak Pastoralists - Yak Dhangar Gowli in Karnataka – cattle Konar & Others in Tamil Nadu – Malaimadu / Pulikulam Cattle Todas of Nilgiris – Toda Buffalo Maintaining Animals – Dharma (A Sacred Duty Prescribed) for Certain Communities • Raikas Caste was Created by Lord Shiva to look after Camels • Yadhavas, Gujjars Descendants of Lord Krishna to care Cattle • Todas – Day-to-day Rituals are Associated with Buffaloes in the life of Toda tribes in Nilgris • Lingayats – Will give one-day rest in a week for animals and animals not milked or engaged in any work on that day How Pastoralists Benefit Society Local Livestock Breeds are Known for : • Disease Resistance • Survive better in Local Environment • Supply Organic Manure thro Penning • Supply Draught Animals • Play Role in Village Festivals / Rituals – e.g. Jallikattu (bull riding) • Suitable for Low Input Management System Breed Statistics •7600 livestock breeds in the world (FAO-2007) • One third are endangered. • One breed is being lost in every month •144 registered breeds in India (NBAGR-2013) They include 37 cattle, 13 buffalo, 23 goat, 39 sheep, 6 horses & ponies, 8 camel, 2 pig, 1 donkey,15 chicken, besides yak, mithun, duck, quail etc. These defined breeds constitute only about 20 to 25% of our farm animal population whereas the remaining farm animal population is yet to be described Umbalacherry Cattle Breed • Umbalachery Cattle Breed spread over in Nagapattinam, Thiruvarur & Thanjavur Districts of Tamil Nadu State. -
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.