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Junagadh, India

Junagadh Agricultural University is an agricultural university at Junagadh in the Indian state of Gujarat. Junagadh Agricultural University offers education in agriculture and allied science, i.e., agriculture, agricultural engineering and fisheries. It is among top 10 universities in India for biological research. The teaching in the university consists of four faculties: agriculture, agricultural engineering, fisheries and postgraduate studies. The graduate programmes have an intake capacity of 75 in agriculture, 70 in agricultural engineering and 30 in fisheries faculty. The postgraduate level studies are offered in agriculture and agricultural engineering according to the intake capacity of the various faculties.There are seven multidisciplinary Main Research Stations; five Main Research Stations for various crops; and eleven sub-Research Stations/Testing Centres for the development of new varieties/hybrids of crops, vegetables and fruits. These centres also work for the development of economical and sustainable production technology packages for newly developed varieties/hybrids with modification every year. The first hybrid bajra and hybrid castor were developed by scientists of this university. Wikipedia.

Tiwari V.K.,Junagadh Agricultural University | Pandey K.P.,Indian Institute of Technology Kharagpur | Pranav P.K.,NERIST
Journal of Terramechanics

A variety of methods, ranging from theoretical to empirical, which have been proposed for predicting and measuring soil-vehicle interaction performance are reviewed. A single wheel tyre testing facility at Indian Institute of Technology, Kharagpur, India, was used to check the applicability of the most widely used traction models, for tyres used in Indian soil conditions. Finally, the coefficients of traction prediction equations developed by Brixius [16] were modified to fit traction data obtained from the testing of the tyres in the Indian soil conditions. © 2010 ISTVS. Published by Elsevier Ltd. Source

Vaghela J.G.,Junagadh Agricultural University
Agricultural Engineering International: CIGR Journal

Mini tractor was operated on test tracks duly connected with vibration analyzer sensor at particular component and to prepare the database of vibration spectrum analysis on tar macadam road. Initially, the work was started on mini tractor vibration measurement on different components. The instrument for vibration analysis used SENDIG-911 portable vibration analyzer. The MCMe2.H software was used for data recording and analysis work. The experiment comprising three speed treatments i.e. low speed as 4.17 km h-1, medium speed as 10.46 km h-1 and high speed as 14.13 km h-1. Experimental statistical analysis was made from completely randomized design (CRD). The results on tar macadam road revealed that the maximum vibration (peak) with frequency of seat, foot rest, brake, clutch and steering was found as 2.97 m s-2 (85-102.5 Hz) to 4.14 m s-2 (77.5-80.5 Hz), 4.19 m s-2 (77.5-935 Hz) to 6.98 m s-2 (47.5-755 Hz), 3.15 m s-2 (110-497 Hz) to 6.26 m s-2 (95-820 Hz), 2.69 m s-2 (374.5-985 Hz) to 4.07 m s-2 (82.5-467.9 Hz) and 10.34 m s-2 (5-77.5 Hz) to 14.49 m s-2 (77.5-80 Hz), respectively under different operating speeds of mini tractor. The data, trend and percentage variation revealed that vibration on seat and clutch of mini tractor was found increased as forward speed of mini tractor increased and on foot rest, steering and brake, vibration was found decreased as forward speed of mini tractor increased. Data was compiled and database of vibration characteristics of mini tractor was prepared. Source

Gontia N.K.,Junagadh Agricultural University | Tiwari K.N.,Indian Institute of Technology Kharagpur
Water Resources Management

Remote sensing and Geographical Information System (GIS) techniques were used to estimate actual crop evapotranspiration of wheat crop grown in Tarafeni South Main Canal (TSMC) irrigation command of West Bengal State in India. The area under wheat crop was clipped from landuse/land cover map generated from Indian Remote Sensing Satellite P6 (IRS P6) image of January, 2004 for winter season 2003-04. The IRS P6 image and four wide field sensor (WiFS) images for different months of winter season were used to determine the Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) for area under wheat crop. The relationship between vegetation indices and crop coefficients (Kc) of wheat for corresponding months were developed. Based on these developed regression equations crop coefficient maps were generated for each month of wheat crop season. Monthly reference crop evapotranspiration (ETo) was estimated based on FAO-56, Penman-Monteith method. ETo was combined with spatially distributed Kc maps of different months of wheat crop season to generate crop evapotranspiration (ETc) maps of each month. The crop water demand of wheat estimated using spatially distributed ETc maps for months of December 2003, January 2004, February 2004, March 2004 (1st Fortnight) and March 2004 (2nd Fortnight) were found to be 3.98, 8.14, 4.66, 2.49, and 1.21 million cubic meter (MCM) respectively. Based on crop evapotranspiration the total crop water demand of wheat crop in irrigation command of TSMC was estimated as 20.48 MCM. © 2009 Springer Science+Business Media B.V. Source

Bosamia T.C.,ICAR Directorate of Groundnut Research | Bosamia T.C.,Junagadh Agricultural University | Mishra G.P.,ICAR Directorate of Groundnut Research | Thankappan R.,ICAR Directorate of Groundnut Research | Dobaria J.R.,ICAR Directorate of Groundnut Research

With the aim to increase the number of functional markers in resource poor crop like cultivated peanut (Arachis hypogaea), large numbers of available expressed sequence tags (ESTs) in the public databases, were employed for the development of novel EST derived simple sequence repeat (SSR) markers. From 16424 unigenes, 2784 (16.95%) SSRs containing unigenes having 3373 SSR motifs were identified. Of these, 2027 (72.81%) sequences were annotated and 4124 gene ontology terms were assigned. Among different SSR motif-classes, tri-nucleotide repeats (33.86%) were the most abundant followed by dinucleotide repeats (27.51%) while AG/CT (20.7%) and AAG/CTT (13.25%) were the most abundant repeat-motifs. A total of 2456 EST-SSR novel primer pairs were designed, of which 366 unigenes having relevance to various stresses and other functions, were PCR validated using a set of 11 diverse peanut genotypes. Of these, 340 (92.62%) primer pairs yielded clear and scorable PCR products and 39 (10.66%) primer pairs exhibited polymorphisms. Overall, the number of alleles per marker ranged from 1-12 with an average of 3.77 and the PIC ranged from 0.028 to 0.375 with an average of 0.325. The identified EST-SSRs not only enriched the existing molecular markers kitty, but would also facilitate the targeted research in marker-trait association for various stresses, inter-specific studies and genetic diversity analysis in peanut. © 2015 Bosamia et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Source

Kumar G.D.S.,Directorate of Groundnut Research | Popat M.N.,Junagadh Agricultural University
Crop Protection

Aflatoxins, produced by the fungi Aspergillus flavus Link ex Fries and Aspergillus parasiticus Speare, are the major toxins affecting the quality of groundnuts (Arachis hypogaea L.) meant for human consumption. Groundnuts can be infected with aflatoxin-producing fungi pre-harvest, at harvest and post-harvest. This survey was conducted in Gujarat province in India in order to assess farmers' and other stakeholders' (extension staff and traders) perceptions and knowledge of aflatoxin contamination of groundnuts and to evaluate the agronomic and market practices used to manage it. The survey investigated the effects of the socioeconomic background of the farmers. The results showed that the socioeconomic and psychological characteristics, viz. education, caste, farm size, social participation, extension participation, market orientation, economic motivation, innovativeness and perception had positive and significant associations with farmers' knowledge. The extension staff and traders had a good understanding of the problem and of the importance of managing aflatoxin contamination but farmers did not. Farmers' who practised effective crop husbandry in order to increase production were unwittingly managing aflatoxin contamination to some extent. Their marketing practises showed that the problem of aflatoxin contamination was neglected at both the production and marketing stages. We suggest that extension agencies need to train farmers in the use of biological control agents, post-harvest management and identification of aflatoxin contamination. Partnerships need to be forged between research institutions, the departments of agriculture of various states, marketing agencies, NGOs, farmers' groups, consumer groups, agrochemical manufacturers and other stakeholders in order to develop strategies for addressing the problem of aflatoxin contamination. © 2010 Elsevier Ltd. Source

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