Unit 4 Milch Breeds
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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. -
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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. -
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. -
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. -
GENETIC POLYMORPHISM of BOLA-DRB3.2 LOCUS in SAHIWAL CATTLE Dibyendu Chakraborty1, Avtar Singh2, M.S. Tantia3, Archana Verma4, A
Animal Science Reporter, Volume 9, Issue 1, January, 2015 GENETIC POLYMORPHISM OF BOLA-DRB3.2 LOCUS IN SAHIWAL CATTLE Dibyendu Chakraborty1, Avtar Singh2, M.S. Tantia3, Archana Verma4, A.K. Chakravarty5 ABSTRACT The DRB3.2 gene of bovine lymphocyte antigen (BoLA) locus has received wide attention because of its polymorphism, and association with immunity and productivity in dairy cattle. The present study was conducted on polymorphism of BoLA-DRB3.2 gene of Sahiwal cattle, a premier dairy breed of India, to identify marker genes that can boost milk production, besides providing relief from economic losses incurred due to mastitis, a major endemic disease of dairy cattle. It is a nascent subject of research, and no study has been conducted in Sahiwal cattle so far. The polymorphic analysis of BoLA-DRB3 gene, based on 112 Sahiwal (Bos indicus) cattle of the NDRI farm, was investigated by hemi-nested polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP). The amplification of BoLA-DRB3 gene, revealed a 284 bp of PCR product, composed of 17 bp of 5 intron, and 267 bp of exon. The PCR products digested with Bst YI, Hae III, and Rsa I restriction endonuclease enzymes revealed 3 (a, b, e), 3 (a, b, e), and 14 (a, b, d, n, m, f, g, h, o, l, s, t, i, u) RFLP prototypes, respectively. DNA sequencing revealed 36 BoLA-DRB3.2 alleles, out of which, 12 alleles (*baa, *iaa, *ibe, *laa, *dba, *sba, *saa, *gba, *mbb, *mab, *fbb, *naa) were detected for the first time in cattle. Seven alleles (*02/*02, *08/*08, *10/*10, *23/*23, *mab/*mab, *dba/*dba, *gba/*gba) were homozygote, and the rest were heterozygote. -
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. -
BULLETIN (Nov 2017-Dec 2018)
1 Aspire IASThe name associated with excellence PT POINTERS–2020 TEA TIME BULLetin- 360-PT shots TEA TIME BULLETIN NEWSPAPER –360-PT Shots (Nov 2017-Dec 2018) © Copyright Aspire IAS All rights are reserved. No part of this document may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without prior permission of Aspire lAS. Aspire IASThe name associated with excellence 10/70 Old Rajeneder Nagar N.Delhi www.aspireias.com 8010068998/9999801394 ©2018 ASPIRE IAS. All rights reserved 2 Aspire IASThe name associated with excellence PT POINTERS–2020 TEA TIME BULLetin- 360-PT shots 1. Rohingyas • children affected by disasters and climate • Sufi induced Sunni Muslim. change etc • Lived in Burma since 12th century after India, 4. International vaccine institute China. at Seoul, South Korea • Stateless started in 1997 • Their dialect is Bengali by the initiative of UNDP • Other ethnic groups of Myanmar: - India full time member Bamar 5. Indian Pharma and medical device 2017 Shan conference Karen Themes: Kachin • Medical devices – ‘shaping the future- making the right choices’ Chin • Karenni Pharma – ‘shaping future of Indian Pharma’ Mon 6. Dhanush guns Kokang Chinese • upgraded version of Bofors Howitzer Rakhine • upgraded by Ordnance Factory Board Rohingyas Jabalpur 2. Factors affecting BIOME • maximum range 40 km Temperature [mean + variation] 7. Intergovernmental oceanographic Moisture Commission -150 members country Sunlight 8. Clouds are the result of adiabatic cooling Growing season generally. Soil 9. Golconda Fort important for diamonds, Drainage underground tunnel and clap sound that can Wind be heard even at the roof. -
Complaint Report
EXHIBIT A ARKANSAS LIVESTOCK & POULTRY COMMISSION #1 NATURAL RESOURCES DR. LITTLE ROCK, AR 72205 501-907-2400 Complaint Report Type of Complaint Received By Date Assigned To COMPLAINANT PREMISES VISITED/SUSPECTED VIOLATOR Name Name Address Address City City Phone Phone Inspector/Investigator's Findings: Signed Date Return to Heath Harris, Field Supervisor DP-7/DP-46 SPECIAL MATERIALS & MARKETPLACE SAMPLE REPORT ARKANSAS STATE PLANT BOARD Pesticide Division #1 Natural Resources Drive Little Rock, Arkansas 72205 Insp. # Case # Lab # DATE: Sampled: Received: Reported: Sampled At Address GPS Coordinates: N W This block to be used for Marketplace Samples only Manufacturer Address City/State/Zip Brand Name: EPA Reg. #: EPA Est. #: Lot #: Container Type: # on Hand Wt./Size #Sampled Circle appropriate description: [Non-Slurry Liquid] [Slurry Liquid] [Dust] [Granular] [Other] Other Sample Soil Vegetation (describe) Description: (Place check in Water Clothing (describe) appropriate square) Use Dilution Other (describe) Formulation Dilution Rate as mixed Analysis Requested: (Use common pesticide name) Guarantee in Tank (if use dilution) Chain of Custody Date Received by (Received for Lab) Inspector Name Inspector (Print) Signature Check box if Dealer desires copy of completed analysis 9 ARKANSAS LIVESTOCK AND POULTRY COMMISSION #1 Natural Resources Drive Little Rock, Arkansas 72205 (501) 225-1598 REPORT ON FLEA MARKETS OR SALES CHECKED Poultry to be tested for pullorum typhoid are: exotic chickens, upland birds (chickens, pheasants, pea fowl, and backyard chickens). Must be identified with a leg band, wing band, or tattoo. Exemptions are those from a certified free NPIP flock or 90-day certificate test for pullorum typhoid. Water fowl need not test for pullorum typhoid unless they originate from out of state. -
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. -
ACE Appendix
CBP and Trade Automated Interface Requirements Appendix: PGA August 13, 2021 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 ...........................................................................................................