ISSN 2394-1227 Indian Farmer
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Animal Husbandry Policy Note 2020-2021
ANIMAL HUSBANDRY, DAIRYING AND FISHERIES DEPARTMENT ANIMAL HUSBANDRY POLICY NOTE 2020-2021 DEMAND NO.6 UDUMALAI K. RADHAKRISHNAN MINISTER FOR ANIMAL HUSBANDRY © Government of Tamil Nadu 2020 "I have reoriented the Agriculture Sector, ushering in a Second Green Revolution with focus on integrated farming and development of the Animal Husbandry and Dairy sector. The State Government’s unprecedented investment in this sector by providing milch cows and sheep and goats to poor families and by organizing farmers’ fairs (Uzhavar peruvizha) in all the 16,564 Revenue Villages has resulted in higher growth in the Agriculture Sector" Speech delivered by SELVI J JAYALALITHAA, Hon’ble Chief Minister of Tamil Nadu during the 57th Meeting of the National Development Council at New Delhi on 27.12.2012 "Livestock farming is an important for the livelihood and economy of farmers. The farmer depend on the milk, meat and eggs that are produced by the livestock that they rear for their sustained livelihood. Livestock that help the farmers in the agricultural operations are seen as their best friends. Besides plaguing livestock also provide manure to enrich the farmers fields. The increasing production of livestock products has transformed livestock rearing into an avocation with immense export potential" Address of the Hon'ble Tamil Nadu Chief Minister during the inagurual function of Advanced Intitute for Inegrated Research on Livestock and Animal Sciences and Veterinary College on 09.02.2020 at Thalaivasal, Salem District. I N D E X S. PAGE CONTENT No. No. 1 Introduction 1 Objectives of the Animal 2 8 Husbandry Department 3 Livestock wealth in Tamil Nadu 10 4 Administrative set up 15 5 Veterinary services 18 6 Disease preventive services 24 7 Breeding services 39 8 Livestock development 49 9 Veterinary Infrastructure 87 Extension and Outreach 10 95 programmes Livestock census and Integrated 11 121 sample survey JALLIKATTU - The traditional and 12 127 cultural identity of Tamil Nadu S. -
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. -
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. -
Genetic Divergence Study Between Umblachery and Kangayam Breed of Cattle Using Random Amplified Polymorphic Dna
International Journal of Food, Agriculture and Veterinary Sciences ISSN: 2277-209X (Online) An Online International Journal Available at http://www.cibtech.org/jfav.htm 2013 Vol. 3 (1) January-April, pp. 136-140/Thiagarajan Research Article GENETIC DIVERGENCE STUDY BETWEEN UMBLACHERY AND KANGAYAM BREED OF CATTLE USING RANDOM AMPLIFIED POLYMORPHIC DNA *Thiagarajan R. Department of Animal Genetics and Breeding, Madras Veterinary College, Chennai, Tamil Nadu *Author for correspondence ABSTRACT Fifty randomly selected Umblachery and Kangayam cattle were used. Out of nine random primers tested five random primers ILO 1127, ILO 526, ILO 868, ILO 876 and BG 85 yielded amplification with genomic DNA samples. In Umblachery, primers ILO 1127, ILO 526, ILO 876 have the ability to amplify more bands such as 9, 8 and 10 where as ILO 868 and BG 85 gave only 4 bands. All the primers except BG 85 produced polymorphic bands. In the same way, in Kangayam breed, all primer except BG 85 produced more bands (6 to 12) and the numbers of polymorphic bands are two in ILO 1127, three in ILO 526 and one in all other three primers. All the five primers revealed band sharing within and between breeds. The frequency varied in Umblachery from 0.06 to 0.118 with respect to primers ILO 526 and ILO 876 whereas in Kangayam it varied from 0.07 to 0.2665 with respect to primers ILO 526 and ILO 876 respectively. The highest APD value between these two breeds obtained was 88.00 with ILO 868 and the lowest value of 50 with ILO 876.The MAPD between these two breeds was estimated to be 74.93 indicating these two breeds differed at 74.9% of loci amplified by a group of five random primers. -
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. -
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. -
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. -
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 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. -
Selection-Criteria-And-Format-Breed Saviour Award 2015.Pdf
Breed Saviour Awards 2015 Breed Saviour Awards are organised by SEVA in association with Honey Bee Network members and National Bureau of Animal Genetic Resources, Karnal and sponsored by the National Biodiversity Authority, Chennai. A total of 20 awardees will be selected for the year 2015, each of whom will be awarded with a sum of Rs. 10,000/- and a Certificate. Awardees along with one accompanying person (NGO representative) will be supported for their travel by train (sleeper class) and stay to attend the award ceremony, which is proposed to be convened during February 2016 at NBAGR, Karnal, Haryana. Criteria for Selection: 1. Cases of livestock keepers engaged in breed conservation / improvement, or sustaining conservation through enhanced earning from breed or its products, value addition, breeding services to the society and improving common property resources etc. will be considered. 2. Breeds already registered and also distinct animal populations which are not yet registered will also be considered under this livelihood based award. For each breed, award will be restricted only to two livestock keepers / groups /communities (including earlier 5 rounds of awards starting from 2009); Breeds which have been recognized and awarded during the previous two edition of Breed Saviour Awards are not eligible for inclusion 2015 edtion. These include: Deoni cattle, Kangayam cattle, Pulikulam cattle, Vechur cattle, Bargur cattle, Binjharpuri cattle, Kankrej cattle, Malaimadu cattle, Banni buffalo, Toda buffalo, Marwari camel, Kharai camel, Kachchi camel, Ramnad white sheep, Vembur sheep, Malpura sheep, Mecheri sheep, Deccani sheep, Attapadi black goat, Osmanabadi goat, Kanniyadu goat, Madras Red sheep and Kachaikatti black sheep). -
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.