2. Cattle Breeds
Total Page:16
File Type:pdf, Size:1020Kb
Load more
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 ..................................................................................................... -
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. -
View Full Text-PDF
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. -
Whole Genome Study of Linkage Disequilibrium in Sahiwal Cattle
South African Journal of Animal Science 2018, 48 (No. 2) Whole genome study of linkage disequilibrium in Sahiwal cattle H. Mustafa1,2#, N. Ahmad1, H. J. Heather2, K. Eui-soo2, W. A. Khan3, A. Ajmal1, K. Javed1, T. N. Pasha4, A. Ali1, J. J. Kim5 & T. S. Sonstegard2 1 Department of Livestock Production, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan 2 United States Department of Agricultural, Maryland 27030, USA 3 Department of Biotechnology, University of Sargodha, Pakistan 4 Department of Animal Nutrition, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan 5 Departemnt of Biotechnology, Yeungnam University Gyeongsan, Gyeongbuk 712749, Republic of Korea (Received 26 September 2017; Accepted 27 December 2017; First published online 30 December 2017) Copyright resides with the authors in terms of the Creative Commons Attribution 4.0 South African Licence. See: http://creativecommons.org/licenses/by/4.0/za Condition of use: The user may copy, distribute, transmit and adapt the work, but must recognise the authors and the South African Journal of Animal Science. ______________________________________________________________________________________ Abstract The linkage disequilibrium (LD) is an important tool to study quantitative trait locus (QTL) mapping and genetic selection. In this study, we identified the extent of linkage disequilibrium (LD) in Sahiwal (n = 14) cattle using the bovine high density single-nucleotide polymorphisms (SNPs) BeadChip. After data filtering, 500,968 SNPs comprising 2518.1 Mb of the genome, were used for the LD estimation. The minior allele frequency (MAF) was 0.21 in a substantial proportion of SNPs and mean distance between adjacent markers was 4.77 ± 2.83 kb. -
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). -
CATAIR Appendix
CBP and Trade Automated Interface Requirements Appendix: PGA October 8, 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 – Scientific Species Code ........................................................................................................................... 31 PG05 – FWS Wildlife Description Codes ........................................................................................................... -
Factors Affecting First Lactation Performance of Sahiwal Cattle in Pakistan
Arch. Tierz., Dummerstorf 51 (2008) 4, 305-317 1Department of Animal Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan 2Institute of Animal Nutrition and Feed Technology, University of Agriculture, Faisalabad, Pakistan 3Research Centre for Conservation of Sahiwal Cattle, Jhang, Pakistan 4Department of Livestock Management, University of Agriculture, Faisalabad, Pakistan ZIA UR REHMAN1, M. SAJJAD KHAN1, SHAUKAT ALI BHATTI2, JAVED IQBAL3 and ARSHAD IQBAL4 Factors affecting first lactation performance of Sahiwal cattle in Pakistan Abstract To study the environmental and genetic factors affecting productive and reproductive traits, data on 5,897 cows from five main recorded herds (for 1964-2004) of Sahiwal cattle in Pakistan were used. A general linear model was applied on the data. The 305-day milk yield, total milk yield, lactation length, age at first calving, dry period, calving interval and service period averaged 1,393 ± 12 kg, 1,429 ± 11 kg, 235 ± 2, 1,390 ± 4, 244 ± 3, 464 ± 3 and 1,78 ± 3 days, respectively. The age at first calving was effected by herd, year and season of birth. The 305-day and total milk yields were affected by herd, year, season of calving, age at first calving, service period and lactation length while all other first lactation traits were affected by herd, year, season of calving and 305-day milk yield. Animal model heritability estimates for these traits were 0.11 ± 0.029, 0.11 ± 0.028, 0.09 ± 0.027, 0.02 ± 0.019, 0.05 ± 0.019, 0.12 ± 0.027 and 0.04 ± 0.020, respectively. Rate of decline in first lactation milk yield was 7 l per year over the last 35 years with genetic trend close to zero. -
Genetic Diversity Among Indian Gir, Deoni and Kankrej Cattle Breeds Based on Microsatellite Markers
Indian Journal of Biotechnology Vol 9, April 2010, pp 126-130 Genetic diversity among Indian Gir, Deoni and Kankrej cattle breeds based on microsatellite markers D S Kale*, D N Rank, C G Joshi 1, B R Yadav 2, P G Koringa, K M Thakkar, T C Tolenkhomba 2 and J V Solanki Department of Animal Genetics and Breeding and 1Department of Animal Biotechnology College of Veterinary Sciences and Animal Husbandry, Anand Agricultural University, Anand 388 001, India 2Livestock Genome Analysis Laboratory, Dairy Cattle Breeding Division National Dairy Research Institute (NDRI), Karnal 132 001, India Received 27 October 2008; revised 17 June 2009; accepted 20 August 2009 The present study was conducted to examine genetic diversity, genetic differentiation and genetic relationship among Gir, Deoni and Kankrej cattle breeds using microsatellite markers. The number of alleles observed at different loci ranged from 5 (HEL5) to 8 (CSRM60) with a total of 46 alleles across three breeds. The overall heterozygosity and polymorphic information content (PIC) values were 0.730 and 0.749, respectively. Nei’s standard genetic distance was least between Gir and Kankrej and highest between Deoni and Kankrej. In the analyzed loci, an overall significant deficit of heterozygotes across these breeds was found and it could be due to inbreeding within breeds. The overall genetic differentiation ( FST ) among breeds was moderate, but significantly different. All loci, except INRA035, contributed significantly to the overall differentiation. The highest FST values were found in HEL5 and lowest in INRA035. The overall Nem value indicated a high rate of genetic flow between the breeds, which is in agreement with their origin of close proximity in the geographical area.