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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 ..................................................................................................... -
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. -
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. -
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). -
Vol. 13 No. 2 7 Hematological Studies on Malnad Gidda Breed of Cattle In
The Indian Journal of Veterinary Sciences & Biotechnology (2017) Volume 13, Issue 2, 7-11 ISSN (Print) : 2394-0247 : ISSN (Print and online) : 2395-1176, abbreviated as IJVSBT http://dx.doi.org/10.21887/ijvsbt.v13i2.10041 Submitted : 17-06-2017 Accepted : 21-08-2017 Published : 15-11-2017 Hematological Studies on Malnad Gidda Breed of Cattle in Karnataka K. Hemanth Gowda, M. Narayanaswamy, T. Veena, A. Krishnaswamy, C. S. Nagaraja, N. B. Sridhar, K. Ganesh and G. P. Kalmath Department of Veterinary Physiology, Veterinary College, Hebbal, Bangalore-24, Karnataka, India. Corresponding Author: [email protected] This work is licensed under the Creative Commons Attribution International License (http:// creativecommons.org/licenses /by/4.0/P), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. Copyright @: 2017 by authors and SVSBT. Abstract The present study was conducted to establish the base line hematological values in Malnad Gidda cattle during winter and summer seasons under the agro-climatic condition of Western Ghats of Karnataka. Thirty healthy Malnad Gidda cattle divided into five groups based on age, sex and lactation. The mean values of TEC, Hb, PCV, ESR, TLC and eosinophil per cent were significantly (P<0.05) higher in adult animals than young animals in both sexes. But, MCV was significantly (P<0.05) higher in young compared to adult animals. The mean values of MCH, MCHC, neutrophil, basophil, monocyte and lymphocyte per cent did not vary significantly among the age groups and among the gender. The mean values of all the above parameters between sexes within age groups and between the seasons were not significantly different. -
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. -
Are Adaptations Present to Support Dairy Cattle Productivity in Warm Climates?
J. Dairy Sci. 94 :2147–2158 doi: 10.3168/jds.2010-3962 © American Dairy Science Association®, 2011 . Invited review: Are adaptations present to support dairy cattle productivity in warm climates? A. Berman 1 Department of Animal Science, Hebrew University, Rehovot 76100, Israel ABSTRACT breeds did not increase heat dissipation capacity, but rather diminished climate-induced strain by decreas- Environmental heat stress, present during warm ing milk production. The negative relationship between seasons and warm episodes, severely impairs dairy reproductive efficiency and milk yield, although rela- cattle performance, particularly in warmer climates. tively low, also appears in Zebu cattle. This association, It is widely viewed that warm climate breeds (Zebu coupled with limited feed intake, acting over millennia, and Sanga cattle) are adapted to the climate in which probably created the selection pressure for a low milk they evolved. Such adaptations might be exploited for production in these breeds. increasing cattle productivity in warm climates and Key words: heat stress , adaptations , dairy productiv- decrease the effect of warm periods in cooler climates. ity The literature was reviewed for presence of such ad- aptations. Evidence is clear for resistance to ticks and INTRODUCTION tick-transmitted diseases in Zebu and Sanga breeds as well as for a possible development of resistance to Environmental stress has a severe effect on the pro- ticks in additional breeds. Development of resistance ductivity of animals and, in particular, on that of dairy to ticks demands time; hence, it needs to be balanced cattle. Environmental stress is a stumbling block for with potential use of insecticides or vaccination. -
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.