The Thematic Working Group on Domesticated Bio- Diversity
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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. -
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). -
Animal Genetic Resources Information Bulletin
The designations employed and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Les appellations employées dans cette publication et la présentation des données qui y figurent n’impliquent de la part de l’Organisation des Nations Unies pour l’alimentation et l’agriculture aucune prise de position quant au statut juridique des pays, territoires, villes ou zones, ou de leurs autorités, ni quant au tracé de leurs frontières ou limites. Las denominaciones empleadas en esta publicación y la forma en que aparecen presentados los datos que contiene no implican de parte de la Organización de las Naciones Unidas para la Agricultura y la Alimentación juicio alguno sobre la condición jurídica de países, territorios, ciudades o zonas, o de sus autoridades, ni respecto de la delimitación de sus fronteras o límites. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying or otherwise, without the prior permission of the copyright owner. Applications for such permission, with a statement of the purpose and the extent of the reproduction, should be addressed to the Director, Information Division, Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00100 Rome, Italy. Tous droits réservés. Aucune partie de cette publication ne peut être reproduite, mise en mémoire dans un système de recherche documentaire ni transmise sous quelque forme ou par quelque procédé que ce soit: électronique, mécanique, par photocopie ou autre, sans autorisation préalable du détenteur des droits d’auteur. -
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. -
SEVA Annual Report 2017-2018
SEVA Annual Report 2017-2018 Documentation of Innovations: During this year we have documented 189 innovations/practices (herbal practices for human 46, herbal practices for animals 92, agricultural practices 21, agricultural implements 12, mechanical innovations 14, new crop variety 1, and food recipes 3 and submitted to National Innovation Foundation, Ahmadabad (NIF). Dissemination of Innovations: “Num Vali Velanmai” has been printed in Tamil at quarterly interval for dissemination of innovations. There are 97 new annual subscribers and 229 life subscribers. 1.Dissemination of Handloom innovation: Mr. Banumurthi innovator has installed his innovation ( Automatic weft insertion in handlooms saree weaving) in Kopargan village near Shirdi, Maharashtra in a weaver’s handloom Mr. Jayaraj Pawar during Feb. 2018. We are organizing a training programme for training of 50 weavers in 2 batches. Each batch for 2 days during April 2018. Mr. Banumurthi innovator has installed his innovation in Dharmavaram town in Telengana state in the weaver’s loom of Mr. Nageswar Rao last week of March 2018. (Mr Nageswar Rao is running 100 handlooms in a multistoreyed building) We are in discussion with the master weaver in providing training programme for the local weavers later. 2. Sowing of Bajra: The traditional varity of bajra Sulkhaniya -7 kg receive from NIF. It has been distributed to 5 farmers in Dindigul, Madurai, Virudhunagar districts. They raised the crop during North East monsoon of 2017. We are unable to record the yield particulars for the reason: Bird damage to the earhead in the farmers field. Therefore 2 farmers now resown the verity and it is less than one month old now. -
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.