SEVA Annual Report 2015-2016
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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 ..................................................................................................... -
Factors Affecting the Reproductive Performance of Sahiwal Cattle
Int.J.Curr.Microbiol.App.Sci (2020) 9(9): 1236-1240 International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 9 (2020) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2020.909.151 Factors Affecting the Reproductive Performance of Sahiwal Cattle Devesh Singh, C. B. Singh, B. S. Khadda* and S. B. Bhardwaj Department of Livestock Production Management, College of Veterinary and Animal Sciences, G. B. Pant University of Agriculture and Technology, Pantnagar-263145, Uttarakhand, India *Corresponding author ABSTRACT The present study was conducted on 308 Sahiwal cows sired by 38 bulls spared over a K e yw or ds period of 32 years (1981- 2012), maintained at instructional dairy farm and AICRP on Age at first calving, cattle -Sahiwal (field unit) at G.B.P.U.A. & T., Pantnagar Uttarakhand and Chak Ganjaria Calving interval, Government Cattle Farm Lucknow, Uttar Pradesh. The overall least- square means for age Service period, at first calving (AFC), first calving interval (FC1) and first service period (FSP) were Sahiwal cattle, 1281.89 ± 15.57, 426.70 ± 8.53 and 140.85 ± 8.90 days, respectively. Significant effect of Reproductive traits sire and farm was observed in all the reproductive traits, while season was found to non- significantly influencing the age at first calving, first calving interval and first service Article Info period. Period of calving had highly significant (P<0.01) effect on AFC whereas, effect period of calving was found to be non-significant on first calving interval and first service Accepted: period. -
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. -
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Int.J.Curr.Microbiol.App.Sci (2021) 10(01): 1773-1779 International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 10 Number 01 (2021) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2021.1001.207 Assessment of Haematological and Biochemical Changes in Postpartum Anoestrous Ongole Cattle of Andhra Pradesh M. Rama Goury1, B.V.S. Saikiran2, S.K.I. Vasantha2*, Nikhil Kumar Tej2 and C.H. Srinivasa Prasad2 1NTR College of Veterinary Science, Gannavaram, A.P, India 2Dept of Veterinary Physiology, NTR College of Veterinary Science, Gannavaram, A.P, India *Corresponding author ABSTRACT The present study was aimed to assess the hemato-biochemical changes in postpartum anoestrous Ongole cattle. A total of 12 animals of same age and K e yw or ds body weight were randomly selected and divided in to two groups, G I: Hematology , postpartum anoestrous (PPA, n=6) and G II: cyclic animals (n=6). Blood Biochemical , samples were collected by jugular vein puncture and analyzed for Postpartum anoestrous (PPA); hematological parameters. Further, the serum was separated from another Ongole cattle aliquot of blood sample and utilized for biochemical parameters. The mean RBC, Hb, PCV, glucose, total protein and cholesterol values were Article Info significantly (p<0.05) lower in PPA compared to cyclic animals. In Accepted: 12 December 2020 contrast, no significant (p>0.05) difference was observed in MCV, MCH, Available Online: MCHC, WBC, lymphocyte and monocytes between groups. From the 10 January 2021 present study, it was concluded that hematological and biochemical parameters are reliable indicators of postpartum anestrus. -
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. -
Annual Report 2001-2002, in Which Multiple Activities of Agricultural Research, Education and Extension Are Highlighted
DARE/ICARDARE/ICAR AnnualAnnual ReportReport 2001-20022001-2002 Department of Agricultural Research Indian Council of and Education Agricultural Research Ministry of Agriculture New Delhi Government of India Indian Council of Agricultural Research President Shri Nitish Kumar (Up to 22.7.2001) Minister of Agriculture Shri Ajit Singh (Since 23.7.2001) Minister of Agriculture Vice-President Dr Debendra Pradhan (Up to 1.9.2001) Minister of State (AH&D & DARE) Director-General Dr R S Paroda (Up to 14.8.2001) Secretary Department of Agricultural Research and Education Shri J N L Srivastava (15.8.2001 to 3.10.2001) Secretary, Ministry of Agriculture Dr Panjab Singh (Since 4.10.2001) Secretary Department of Agricultural Research and Education Secretary Smt Shashi Misra (Since 22.2.2001) Additional Secretary Department of Agricultural Research and Education Financial Adviser Shri R S Prasad (Up to 7.6.2001) Joint Secretary and FA Department of Agricultural Research and Education Shri P Sinha (Since 7.6.2001) Additional Secretary and FA Department of Agricultural Research and Education iii OVERVIEW Foreword The National Agricultural Research System (NARS) with the Indian Council of Agricultural Research (ICAR) as an apex body is striving for the holistic development of agriculture at the national level through planning, promoting, conducting and coordinating research, education and extension and training on all aspects of agriculture for ensuring optimal utilization of land, water and plant and animal genetic resources. India has achieved worldwide acclaim in the field of agricultural research, education and extension by achieving more than four-fold increase in foodgrains production besides significant increases in the milk, oilseeds, fruits, vegetables and fish production since independence. -
Class 4 :Definition of Breed-Classification of Indigenous, Exotic Cattle and Buffaloes -Breed Characteristics of Sindhi, Kangaya
Class 4 :Definition of breed-classification of indigenous, exotic cattle and buffaloes -Breed characteristics of Sindhi, Kangayam and Umblacherry, Jersey, Holstein Friesian, Murrah and Surti. Breed: Definition : Denotes and established group of animals / birds having the similar general body shape, colour, structure and characters which produced offspring with same characters I . Cattle - 1. Indigenous 2. Exotic Indigenous Breeds are classified under three groups based on utility / purpose. a. Milch - Example- Sindhi, Sahiwal, Gir and Deoni b. Dual - Example- Hariyana, Ongole, Tharparkar, Kankrej c. Draught – Example- Kangayam, Umblacherry, Amritmahal, Hallikar 2. Exotic – Milch – Jersey, Holstein Friesian Red Sindhi Also Known By: Malir (Baluchistan), Red Karachi, Sindhi The Red Sindhi originated in the Pakistani state of Sind but due to its hardiness, heat resistance and high milk yields they have spread into many parts of India and at least 33 countries in Asia, Africa, Oceania and the Americas. Under good management conditions the Red Sindhi averages over 1700 kg of milk after suckling their calves but under optimum conditions there have been milk yields of over 3400 kg per lactation. The average height of a Red Sindhi cow is 116 cm with a body weight of 340 kg. Bulls average 134 cm in height and a body weight of 420 kg. They are normally a deep, rich red color but this can vary from a yellowish brown to dark brown. Males are darker than females and when mature may be almost black on the extremities, such as the head, feet and tail. Red Sindhi in Australia Red Sindhi cattle arrived in Australia in 1954 from Pakistan, as a gift to the Australian Government. -
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 • -
Unit 4 Milch Breeds
UNIT 4 MILCH BREEDS Structure 4.0 Objectives 4.1 Introduction 4.2 Milch Breeds of Cattle Indigenous Milch and Dual-purpose Breed Exotic Dairy Cattle Breeds Synthetic Crossbred Cattle Strains Breed Improvement in Cattle 4.3 Milch Breeds of Buffaloes Breed Improvement in Buffaloes 4.4 Milch Breeds of Goats Indigenous Goat breeds Exotic Dairy Goat Breeds Breed Improvement in Goats 4.5 Let Us Sum Up 4.6 Key Words 4.7 Some Useful Books 4.8 Answers to check your Progress 4.0 OBJECTIVES After reading this unit, we shall be able to: enumerate the names of different milch breeds of cattle, buffalo and goat; state the distribution of these breeds in their respective home tracts; describe the physical characteristics of these breeds; performance of these breeds; specify the reproduction and production; and indicate the concept of breed improvement. 4.1 INTRODUCTION Cattle, buffalo and goats constituting 404.1 million population are three major domestic animal species, which contribute over 91.0 million tonnes milk in the country. The buffaloes contribute maximum (52%) to total milk production followed by cattle (45%) and goats (3%). There are large number of well descript breeds of cattle, buffalo and goats which are widely distributed under different agro-climatic regions. Besides these, there is large population of non-descript animals. A breed is a group of inter-breeding domestic animals of a species. It shows similarity among its individuals in certain distinguishable characteristics (colour, shape, size of body parts). The breeds have been developed as a result of selection and breeding based on the needs of mankind as well as adaptation to agro-climatic conditions of their native home tracts. -
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. -
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.