Y-Chromosome Genetic Diversity of Bos Indicus Cattle in Close Proximity to the Centre of Domestication Indrajit Ganguly 1 ✉ , C
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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. -
Annual Plan 2010-2011
ANNUAL PLAN 2010-11 PLANNING COMMISISON PLANNING AND DEVELOPMENT DIVISION GOVERNMENT OF PAKISTAN JUNE, 2010 CONTENTS Pages Foreword Executive Summary i Part-I Macroeconomic Framework 1 Chapter 1 Growth, Investment and Savings 3 2 Balance of Payments 11 3 Fiscal and Monetary Developments 21 4 Public Sector Development Programme 29 Part-II Overcoming Major Constraints 39 5 Water Resources Development 41 6 Energy Security 47 Part-III Human Resource Development 57 7 Education for Knowledge Society 59 7.1 School and College Education 59 7.2 Higher Education 62 7.3 Science and Technology 67 8 Employment 75 9 Population and Development 85 Part-IV Poverty Alleviation and Millennium Development Goals 91 10 Poverty Reduction 93 11 Health and Nutrition 101 11.1 Health 101 11.2 Nutrition 106 Part-V Main Features of Sectoral Programs 109 12 Agriculture Development 111 12.1 Agriculture Crops 111 12.2 Livestock, Poultry and Fisheries Development 119 13 Manufacturing and Minerals 125 14 Transport and Communication 133 15 Physical Planning and Housing 139 16 Information and Communication Technologies 147 16.1 Information Technology 147 16.2 Telecommunications 155 17 Women Empowerment and Social Welfare 159 17.1 Women Development and Empowerment 159 17.2 Social Welfare 162 18 Rural Development, Special Areas and Drought Recovery 165 Program 18.1 Rural Development 165 18.2 Special Areas 170 18.3 Drought Recovery Assistance Program 175 19 Environment and Sustainable Development 183 20 Mass Media, Culture, Sports, Tourism and Youth 187 20.1 Mass Media 187 20.2 Culture, Sports, Tourism and Youth 189 21 Good Governance 193 21.1 Reforms Programme 193 21.2 Monitoring and Evaluation 196 Foreword Foreword The National Economic Council (NEC) in its meeting held on 28th May, 2010 under the chairmanship of the Prime Minister, reviewed the performance of the economy during 2009-10 and approved the Annual Plan 2010-11. -
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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. -
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. -
Sindhi-Jersey and Sindhi-Holstein Crosses
I.1;iW .2.8IIIiii 12.5_ :: !iii IHH~ I.:: W nll_ "'~~W.... IIIII~ 1I111~ I 'IIII'~ 11111 1.4 111111.6 ""'1.25 111111.4 111111.6 MICROCOPY RESOLUTION TEST CHART MICROCOPY RESOLUTION TEST CHART NATIONAL aUREAU OF STANDARDS-J963-A NATIONAL BUREAU OF STANDARDS-J963-A " .L ,.I:.' ,.t' I ., , f,· SINDHI·JERSEY and SINDHI·HOLSTEIN ~"'" ~ '.:;1- ::J l:;~ -.'~ ~]~; CROSSES 1""; >OJ r~ r.:..> <'J r· ~:-i ~ r. ,L. C') ~, TM~ir External Form (, {' a:ncf~Internal Anatomy Compared With Those of Purebred Jerseys and Holsteins Technical Bulletin No. 1236 UNITED STATES DEPARTMENT OF AGRICULTURE hV{:J$y:.,C,ri' ,ck,-\,.c l\ ~' .... ~ j __ _ CONTENTS Page INTRODUCTION__________________ ~ ____ .. ______ 1 MATERIALS AND METHODS_ ________________ 2 RESULTS AND DISCUSSION _________________ -_ 3 Variability in Body Form and Anatomical Stl'ucture____ 8 Basis for Comparisons Among Breed Groups___________ 11 Comparisons of Body Form Among Jersey and Sindhi- Jersey Crossbred Groups______ _______ ______ ___ _____ 19 Comparisons of Internal Anatomy Among Jersey and Sindhi-Jersey Crossbred Groups_ _ _ _______ __________ 21 Comparisons of Effects of Crossing Jerseys and Holsteins WIth Sindhis, in Body .Fol'm and Internal Anatomy__ __ 22 Relative COI;nbin.ing ~bility of Jerseys and Holstems in Crosses WIth Smdbls____ __ ______ __ ______________ __ 23 General Discussion- ___ _______ ____ _______ __ _ ________ 24 SUMMARY -_________________________________ .. _ 24 LITERATURE CITED _____________ ._____________ 26 Washington, D.C. Issued J IlDUIlry":1961 For sale by the Superintendent of Documents,/.. U.S. Government Printing Office, Washington 25, D.C.-l:'rice 15 cents m !,,,;,~ ,<,SINDHI·-1ERSEY '" and SINDHI-HOLSTEIN ":'l, CROSSES:~ Their External Form and Internal Anatomy Compared With Those of Purebred Jerseys and Holsteins By W. -
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. -
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.