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Estimation of the Effect of Weather Parameters on Castor Yield Of
International Journal of Chemical Studies 2019; 7(3): 320-322 P-ISSN: 2349–8528 E-ISSN: 2321–4902 IJCS 2019; 7(3): 320-322 Estimation of the effect of weather parameters on © 2019 IJCS Received: 18-03-2019 castor yield of Banaskantha district in Gujarat Accepted: 22-04-2019 AG Sabhaya AG Sabhaya, DV Patel and PB Marviya Department of Agricultural Statistics, Junagadh Agricultural University, Junagadh, Gujarat, Abstract India In the present study, “Estimation of the effect of weather parameters on castor yield in Gujarat” attempts have been made to develop models for forecasting castor yield at Banaskantha district on the basis of DV Patel weather variables. Weekly data from 32nd meteorological standard week (MSW) to 9th standard week of Associate Professor, Department next year. The weekly average of weather variables (rainfall, maximum and minimum temperature, of Agricultural Statistics, morning and afternoon relative humidity and sunshine hours) over a span of 31 years period (1981-82 to Junagadh Agricultural 2011-12) has been used along with the annual castor production data for Banaskantha district of Gujarat University, Junagadh, Gujarat, state. For early forecast, 12, 9, 6 and 3 weeks intervals were considered. The stepwise regression India procedure was adopted using 31 years data for selection of variables. These models for respective districts can be used for providing pre-harvest forecast, 9 weeks before expected harvest in case of PB Marviya Banaskantha districts. The study showed that models selected for pre-harvest forecasts explained more Assistant Professor, Department than 90% for Banaskantha district. The errors of simulated forecasts were less than 3 per cent in model. -
(PANCHAYAT) Government of Gujarat
ROADS AND BUILDINGS DEPARTMENT (PANCHAYAT) Government of Gujarat ENVIRONMENTAL AND SOCIAL IMPACT ASSESSMENT (ESIA) FOR GUJARAT RURAL ROADS (MMGSY) PROJECT Under AIIB Loan Assistance May 2017 LEA Associates South Asia Pvt. Ltd., India Roads & Buildings Department (Panchayat), Environmental and Social Impact Government of Gujarat Assessment (ESIA) Report Table of Content 1 INTRODUCTION ............................................................................................................. 1 1.1 BACKGROUND .......................................................................................................... 1 1.2 MUKHYA MANTRI GRAM SADAK YOJANA ................................................................ 1 1.3 SOCIO-CULTURAL AND ECONOMIC ENVIRONMENT: GUJARAT .................................... 3 1.3.1 Population Profile ........................................................................................ 5 1.3.2 Social Characteristics ................................................................................... 5 1.3.3 Distribution of Scheduled Caste and Scheduled Tribe Population ................. 5 1.3.4 Notified Tribes in Gujarat ............................................................................ 5 1.3.5 Primitive Tribal Groups ............................................................................... 6 1.3.6 Agriculture Base .......................................................................................... 6 1.3.7 Land use Pattern in Gujarat ......................................................................... -
Land Degradation Assessment and Mapping in Banaskantha District, Gujarat Using Remote Sensing and GIS Techniques
Land degradation assessment and mapping in Banaskantha district, Gujarat using remote sensing and GIS techniques 1 3 3 3 2 Davda Kruti M. , Manish Parmar , Arun Kumar Sharma , A.S. Rajawat , M.J. Pandya 1 M.E. Student, Department of Environmental Engineering, L.D. College of Engineering, Gujarat Technological University, Ahmedabad, India 2 Assistant Professor, Department of Environmental Engineering, L.D. College of Engineering, Gujarat Technological University, Ahmedabad, India 3 Space Applications Centre (ISRO), Ahmedabad Corresponding Author email: [email protected] Abstract: Land degradation, a process of reduction in the productive capacity of land, is a subtle and progressive environmental change in time. Overexploitation of natural resources by humans and climatic conditions such as prolonged drought, further aggravates land degradation in fragile ecosystems. Desertification is the continuous degradation of land in arid, semi-arid and dry sub- humid regions. Mapping and quantifying the extent and geographical distribution of degraded lands form an essential input for planning reclamation/ conservation strategies. In Banaskantha district of Gujarat, drought is a common feature causing soil moisture deficiency leading to desertification. The present study deals with mapping and assessment of land degradation and desertification status of Banaskantha district, covering 10,743 sq. km area, located in semi-arid regions of Gujarat state using remotely sensed data. Desertification in the district is assessed using visual interpretation of three season (kharif, rabi and zaid) IRS LISS III satellite data of 2011-12 timeframe in GIS environment. Desertification Status Map is prepared at 1:50,000 scale using hierarchal classification system comprising of three elements viz. land use, process of desertification and its severity. -
Gujarat Cotton Crop Estimate 2019 - 2020
GUJARAT COTTON CROP ESTIMATE 2019 - 2020 GUJARAT - COTTON AREA PRODUCTION YIELD 2018 - 2019 2019-2020 Area in Yield per Yield Crop in 170 Area in lakh Crop in 170 Kgs Zone lakh hectare in Kg/Ha Kgs Bales hectare Bales hectare kgs Kutch 0.563 825.00 2,73,221 0.605 1008.21 3,58,804 Saurashtra 19.298 447.88 50,84,224 18.890 703.55 78,17,700 North Gujarat 3.768 575.84 12,76,340 3.538 429.20 8,93,249 Main Line 3.492 749.92 15,40,429 3.651 756.43 16,24,549 Total 27.121 512.38 81,74,214 26.684 681.32 1,06,94,302 Note: Average GOT (Lint outturn) is taken as 34% Changes from Previous Year ZONE Area Yield Crop Lakh Hectare % Kgs/Ha % 170 kg Bales % Kutch 0.042 7.46% 183.21 22.21% 85,583 31.32% Saurashtra -0.408 -2.11% 255.67 57.08% 27,33,476 53.76% North Gujarat -0.23 -6.10% -146.64 -25.47% -3,83,091 -30.01% Main Line 0.159 4.55% 6.51 0.87% 84,120 5.46% Total -0.437 -1.61% 168.94 32.97% 25,20,088 30.83% Gujarat cotton crop yield is expected to rise by 32.97% and crop is expected to increase by 30.83% Inspite of excess and untimely rains at many places,Gujarat is poised to produce a very large cotton crop SAURASHTRA Area in Yield Crop in District Hectare Kapas 170 Kgs Bales Lint Kg/Ha Maund/Bigha Surendranagar 3,55,100 546.312 13.00 11,41,149 Rajkot 2,64,400 714.408 17.00 11,11,115 Jamnagar 1,66,500 756.432 18.00 7,40,858 Porbandar 9,400 756.432 18.00 41,826 Junagadh 74,900 756.432 18.00 3,33,275 Amreli 4,02,900 756.432 18.00 17,92,744 Bhavnagar 2,37,800 756.432 18.00 10,58,115 Morbi 1,86,200 630.360 15.00 6,90,430 Botad 1,63,900 798.456 19.00 7,69,806 Gir Somnath 17,100 924.528 22.00 92,997 Devbhumi Dwarka 10,800 714.408 17.00 45,386 TOTAL 18,89,000 703.552 16.74 78,17,700 1 Bigha = 16 Guntha, 1 Hectare= 6.18 Bigha, 1 Maund= 20 Kg Saurashtra sowing area reduced by 2.11%, estimated yield increase 57.08%, estimated Crop increase by 53.76%. -
C1-27072018-Section
TATA CHEMICALS LIMITED LIST OF OUTSTANDING WARRANTS AS ON 27-08-2018. Sr. No. First Name Middle Name Last Name Address Pincode Folio / BENACC Amount 1 A RADHA LAXMI 106/1, THOMSAN RAOD, RAILWAY QTRS, MINTO ROAD, NEW DELHI DELHI 110002 00C11204470000012140 242.00 2 A T SRIDHAR 248 VIKAS KUNJ VIKASPURI NEW DELHI 110018 0000000000C1A0123021 2,200.00 3 A N PAREEKH 28 GREATER KAILASH ENCLAVE-I NEW DELHI 110048 0000000000C1A0123702 1,628.00 4 A K THAPAR C/O THAPAR ISPAT LTD B-47 PHASE VII FOCAL POINT LUDHIANA NR CONTAINER FRT STN 141010 0000000000C1A0035110 1,760.00 5 A S OSAHAN 545 BASANT AVENUE AMRITSAR 143001 0000000000C1A0035260 1,210.00 6 A K AGARWAL P T C P LTD AISHBAGH LUCKNOW 226004 0000000000C1A0035071 1,760.00 7 A R BHANDARI 49 VIDYUT ABHIYANTA COLONY MALVIYA NAGAR JAIPUR RAJASTHAN 302017 0000IN30001110438445 2,750.00 8 A Y SAWANT 20 SHIVNAGAR SOCIETY GHATLODIA AHMEDABAD 380061 0000000000C1A0054845 22.00 9 A ROSALIND MARITA 505, BHASKARA T.I.F.R.HSG.COMPLEX HOMI BHABHA ROAD BOMBAY 400005 0000000000C1A0035242 1,760.00 10 A G DESHPANDE 9/146, SHREE PARLESHWAR SOC., SHANHAJI RAJE MARG., VILE PARLE EAST, MUMBAI 400020 0000000000C1A0115029 550.00 11 A P PARAMESHWARAN 91/0086 21/276, TATA BLDG. SION EAST MUMBAI 400022 0000000000C1A0025898 15,136.00 12 A D KODLIKAR BLDG NO 58 R NO 1861 NEHRU NAGAR KURLA EAST MUMBAI 400024 0000000000C1A0112842 2,200.00 13 A RSEGU ALAUDEEN C 204 ASHISH TIRUPATI APTS B DESAI ROAD BOMBAY 400026 0000000000C1A0054466 3,520.00 14 A K DINESH 204 ST THOMAS SQUARE DIWANMAN NAVYUG NAGAR VASAI WEST MAHARASHTRA THANA -
DDMP-Devbhumi Dwarka
District Disaster Management Plan DEVBHUMI DWARKA COLLECTOR OFFICE DEVBHUMI DWARKA 2018 Website: http://devbhumidwarka.gujarat.gov.in 1 Dr. Narendra Kumar Meena, IAS District Collector Devbhumi Dwarka At.Khambhalia FOREWORD Dr. Narendra Kumar Meena, IAS District Collector Devbhumi Dwarka 2 INDEX Sr.No. Detail Page No. 1 Chapter-1 6-16 Introduction 06 What is Disaster 09 Objective of plan 09 Scope of the plan 10 Authority and Responsibility 10 Approach to Disaster Management 10 Warning, Relief and Recovery 10 Mitigation, Prevention and Preparedness 10 Finance 11 District Profile 12 Area and Administration 12 Climate and Coastal villages 13 River and Dam 13 Port and fisheries 14 Salt work 14 Live stock 14 Road and Railway 15 Health 15 Temperature and Rainfall 15 2 Chapter-2 HRVA 16-26 Hazards Risk & Vulnerabilty Analysis 17 Identify the Hazards of concern 18 Methodology of HRVA 20 Assign the Prpbability Rating 20 Assign the Impact Rating 21 Assign the Vunrebaility Ranking 21 Areas with highest Vulnerability 22 Outcome 22 3 Chapter-3 Institutional arrangement 27-41 DM structure in State 28 Incident Response System at State 28 Incident Response System at District 29 DEOC 30 DDMC 35 TDMC 35 CDMC 36 VDMC 38 Emmergency rescue kit 39 Forecasting warning system 40 4 Chapter-4 Preventtion and Mitigation measures 42-55 Prevention and mitigation plan 43 Mitigation measures for all Disaster 44 Structural and Non Structural Measures for all Disaster 54 List of On Going Programmes 50 Development Scheme 53 Risk Management Funding 54 5 Preparedness Measures 56-70 3 Identification of Stakeholder and Person of training 57 Training Need Analysis 61 Activation of IRS 62 Awareness Generation 64 NGO and Other stake holder coordination 64 DRM Programme 66 Community Warning System 69 Disaster Advisory Action Plsn 70 6 Chapter-6 Response Measures 71-89 Warning and Alert 72 District Crisis Management Meeting 73 Activation of EOC 73 Role and Responsibility of Each Department 73 Incident Command System 84 7. -
Survey on Socio Economic and Milking Patterns of Buffaloes Owners in Junagadh and Porbandar District of Gujarat, India
Int.J.Curr.Microbiol.App.Sci (2018) 7(8): 1203-1212 International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 08 (2018) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2018.708.135 Survey on Socio Economic and Milking Patterns of Buffaloes Owners in Junagadh and Porbandar District of Gujarat, India B.A. Pata1, M.D. Odedra1, A.R. Ahlawat1*, H.H. Savsani1, T.K. Patbandha1 and M.P. Sarma1 College of Veterinary Science & Animal Husbandry, Junagadh Agricultural University Junagadh -362001, India *Corresponding author ABSTRACT K e yw or ds The present investigation was carried out to study the socio-economic and milking patterns adopted by buffalo keepers in Junagadh and Porbandar districts of Gujarat State. A random Socio economic, sample of 300 buffalo owners were selected from three talukas of Junagadh and two Milking patterns, talukas of Porbandar district. The study showed that a majority of buffalo owners (40%) Buffaloes owners, Gujarat were literate and belonged to middle age group. In the study area, 50.34% of the buffalo owners had large land holding and had nuclear type of family. In this area 82% Article Info respondents milked buffaloes by knuckling method and most of the buffalo owners cleaned udder and teats of buffalo before milking. Majority of respondents milked their Accepted: animal two times with dry hand and used open mouth bucket. Maximum (87.33%) buffalo 08 July 2018 Available Online: owners transported milk to co-operative society by themselves and practiced diagnose for 10 August 2018 mastitis in their animals. -
Indian Minerals Yearbook 2018
STATE REVIEWS Indian Minerals Yearbook 2018 (Part- I) 57th Edition STATE REVIEWS (Gujarat) (ADVANCE RELEASE) GOVERNMENT OF INDIA MINISTRY OF MINES INDIAN BUREAU OF MINES Indira Bhavan, Civil Lines, NAGPUR – 440 001 PHONE/FAX NO. (0712) 2565471 PBX : (0712) 2562649, 2560544, 2560648 E-M AIL : [email protected] Website: www.ibm.gov.in September, 2019 11-1 STATE REVIEWS GUJARAT limestone in Amreli, Banaskantha, Bharuch, Bhavnagar, Jamnagar, Junagadh, Kheda, Kachchh, Mineral Resources Panchmahal, Porbandar, Rajkot, Sabarkantha, Surat, Vadodara and Valsad districts; marl in Gujarat is the sole producer of chalk and is Amreli, Junagadh and Porbandar district; ochre the principal producer of clay (others), fluorite in Banaskantha, Bhavnagar and Kachchh (graded), kaolin, silica sand, lignite, petroleum & districts; perlite in Rajkot district; petroleum and natural gas and marl in the country. The State is natural gas in oil fields of Ankaleshwar, Kalol, the sole holder of the country's chalk, marl and Navgam, Balol and Cambay in Cambay onshore perlite resources and possesses 66% fluorite, and offshore basins; quartz/silica sand in 28% diatomite, 25% bentonite, 18% granite, Bharuch, Bhavnagar, Dahod, Kheda, Kachchh, 12% wollastonite, 10% limestone and 9% bauxite Panchmahal, Rajkot, Sabarkantha, Surat, resources. Surendranagar, Vadodara and Valsad districts; and The important mineral occurrences in the talc/soapstone/steatite in Sabarkantha district. State are: bauxite in Amreli, Bhavnagar, Jamnagar, Other minerals that occur in the State are: apatite -
Banaskantha INDEX
Banaskantha INDEX 1 Banaskantha: A Snapshot 2 Economy and Industry Profile 3 Industrial Locations / Infrastructure 4 Support Infrastructure 5 Social Infrastructure 6 Tourism 7 Investment Opportunities 8 Annexure 2 1 Banaskantha: A Snapshot 3 Introduction: Banaskantha Map 1: District Map of Banaskantha with § Banaskantha is the third largest district of Gujarat and is Talukas located in North eastern region of the State § The region is presumably named after the West Banas River and shares its border with the neighbouring State of Rajasthan § There are 11 talukas in the district with Palanpur (District Headquarter), Deesa, Dantaand Amirgarhbeing the important and developed talukas of the district § Banaskantha contributes significantly to Agricultural production of the State and ranks No. 1 in the production of potatoes in India § The district is also known for its diamond and ceramic industry § The proposed Palanpur-Mehsana Investment Region along Amirgadh the Delhi-Mumbai Industrial Corridor (DMIC) is expected to Dhanera drive the economic growth of the district Dantiwada Tharad § Focus Industry Sectors Vav Deesa Danta § Food Processing Deoder Palanpur Bhabhar Sikori Vadgam § Tourism § Mineral Based Industries (Ceramic Industry) Taluka § Tourist Places: Ambaji, Kumbharia, Balaram-Ambaji District Headquarter Sanctuary and JessoreSloth Bear Sanctuary 4 Fact File Longitude: 71.03O to 73.02O East Geographical Location Latitude: 23.33Oto 24.25O North 45 O Centigrade (Maximum) Temperature 5 O Centigrade (Minimum) Average Rainfall 1550 mm Rivers -
Study on Livelihood and Scope of Value Addition: a Case of Jamnagar District of Gujarat
International Journal of Agriculture Sciences ISSN: 0975-3710&E-ISSN: 0975-9107, Volume 8, Issue 21, 2016, pp.-1376-1380. Available online at http://www.bioinfopublication.org/jouarchive.php?opt=&jouid=BPJ0000217 STUDY ON LIVELIHOOD AND SCOPE OF VALUE ADDITION: A CASE OF JAMNAGAR DISTRICT OF GUJARAT SAVALIYA DIVYA1, KHUNT K.A.1, CHAUDHARI V.P.1, MAHAMMADHUSEN K.2 AND KAMANI H.V.3 1PGIABM, Junagadh Agricultural University, Junagadh, 362001 2Department of Agricultural Economics, Junagadh Agricultural University (JAU), Junagadh, 362001 3Tata Chemicals Society for Rural Development (TCSRD), Mithapur, 361 345, Okhamandal, Gujarat *Corresponding Author: Email - [email protected] Received: April 09, 2016; Revised: April 15, 2016; Accepted: April 16, 2016 Abstract- An attempt has been made for studying rural development activities in the Okhamandal area of Gujarat. The Gini coefficient was estimated to 0.043. Among all the ten groups, Madhav group had the highest share (17.38 %) in total income. Regarding the value addition in the Okhaman dal area about 23 per cent farmers did the value addition which was very poor as compare to their future expectations i.e. 82 per cent farmers. The highest scope of value addition was observed in commodities like chillies (27 farmers), tomato (20 farmers) and groundnut (48 farmers). Per acre net income was obtained Rs, 6,03,526. The crops like sapota, coconut, coriander, chillies, brinjal and cotton were the major sources of farm income. In case of animal husbandry, the average gross income received per cluster from animal husbandry was estimated at Rs. 1,19,502 per annum. Labour activities in the form of driving, industrial and agril labour, masonry works etc. -
10 Estimation of Cotton Yield.Pmd
Journal of Agrometeorology 12 (1): 47-52 (June 2010) Estimation of cotton yield based on weather parameters of Banaskantha district in Gujarat state N. J. RANKJA, S. M.UPADHYAY, H.R. PANDYA, B.A. PARMAR and S.L.VARMORA Department of Agricultural Statistics, College of Agriculture, Junagadh Agricultural University, Junagadh ABSTRACT The present investigation was undertaken to identify the quantitative relationship between weather parameters and district level yield of cotton and to develop preharvest forecast models for cotton yield. For this purpose 32 years weather and crop yield records of Banaskantha district were collected. It was found that the 26 week crop period model ( using original weather variables, week wise approach) was recommended for pre harvest forecast due to higher R2 value and lower simulated forecast error. The time trend, maximum temperature, morning and evening relative humidity have significantly affected on crop yield. Key words: Cotton, prediction equation, forecasting, weather variables. Timely and reliable forecast of crop yield is of great meteorological standard week ( MSW) to 47th standard week importance for monsoon dependent country like India, where of each year. Four models were fitted by using original weather the economy is mainly based on agricultural production. variables based on week wise approach considering upto Climate is closely linked with crop growth, development and 17, 20, 23 and 26 weeks of crop period. The time trend variable production and affected by both long term meteorological was included in this analysis as an explanatory variable. factors ( the climate) and short term meteorological events ( the weather). Crop weather models have become key to The variables used in this study were weekly average predict crop yield in a vast country like India for planners of, and policy makers. -
Lined Supple Skink
#193 REPTILE RAP 21 March 2019 LINED SUPPLE SKINK Notes on Lygosoma lineata from Rajkot City, Gujarat, India Lined Supple Skink from Rajkot City in Gujarat Reptiles are represented by 10,793 species worldwide (Uetz et al. 2018) of which 518 are found in India (Aengals et al. 2011). Of these 202 are lizards, apart from 75 species of IUCN Red List: Least Concern Scincidae (Uetz et al. 2018). From Gujarat state 12 species of (Srinivasulu & Scincidae are reported (Table 1). Srinivasulu 2013) Lined Supple Skink Lygosoma lineata was described Reptilia by Gray in 1839 as Chiamela lineata and later allocated to the [Class of Reptiles] genus Lygosoma Gray, 1828 by Boulenger in 1887 (Smith 1935) Squamata and assessed as Least Concern. This lizard can be found in [Order of scaled reptiles] a variety of habitats including hilly areas, coastal forests, mix Scincidae deciduous forest, grassland patches, scrublands, agriculture [Family of skinks] fields, gardens, and among large boulders (Srinivasulu & Lygosoma lineata Srinivasulu 2013; Vyas 2014). This animal actively forages near [Lined Supple Skink] termite mounds during cooler parts of the day. This lizard mostly Species described by shelters itself beneath rocks, woody material, or within leaf litter Gray in 1839 (Srinivasulu & Srinivasulu 2013). Lined Supple Skink is endemic to India. The species is distributed in the states of Gujarat, Maharashtra, Goa, Karnataka, Tamil Nadu, Andhra Pradesh, Zoo’s Print Vol. 34 | No. 3 15 #193 REPTILE RAP 21 March 2019 Telangana, Chhattisgarh, Madhya Pradesh, Jharkhand, and West Bengal in India (Vyas 2014). In Gujarat, this species was recorded from Rajkot, Velavader, Bhavnager, Kalali, Kevadia, Samot, Ambli, Grimal, Naomiboha (Vyas 2014), and Girnar WS (Srinivasulu & Srinivasulu 2013).