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Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola
Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola was established on 20th October, 1969 with its head-quarter at Akola. This Agricultural University was named after the illustrious son of Vidarbha Dr. Panjabrao (alias Bhausaheb) Deshmukh, who was the Minister for Agriculture,Govt. of India. The jurisdiction of this university is spread over the eleven districts of Vidarbha. According to the University Act 1983 (of the Government of Maharashtra), the University is entrusted with the responsibility of agricultural education, research and extension education alongwith breeder and foundation seed programme.
The University has its main campus at Akola. The instructional programmes at main campus are spread over in 5 Colleges namely, College of Agriculture, College of Agricultural Engineering & Technology, College of Forestry, College of Horticulture and Post Graduate Institute. At this campus 4 degree programmes namely B.Sc.(Agri.) B.Sc. (Hort.), B.Sc. (Forestry) and B.Tech. (Ag. Engg.) , two Master’s Degree Programmes viz. M.Sc.(Agri.) and M.Tech. (Agri.Engg.) and Doctoral Degree Programmes in the faculties of Agriculture and Agril. Engineering are offered.
The University has its sub-campus at Nagpur with constituent College, College of Agriculture which offers B.Sc.(Agri.) and M.Sc.(Agri.) degree programmes. The Nagpur Campus is accomplished with a garden, surrounded by its natural beauty and a well established Zoo which attract the general public and visitors to the city. A separate botanic Garden is being maintained on 22 hectares with a green house for the benefit of research workers.
In addition there are 2 affiliated grant-in-aid colleges and 14 private non-grant-in-aid colleges under the umbrella of this University
A Central Research Station is situated at the main Campus which caters to the need of research projects undertaken by Crop Scientists of the principle crops of the region are Cotton, Sorghum, Oilseeds and Pulses.
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ThesisItem Open Access DEVELOPMENT OF LAND USE OPTIONS FOR GOA STATE USING LARGE SCALE LAND RESOURCE INVENTORY.(Publisher : Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2022-03-01) MOHEKAR, DEEPAK SHANKARRAO.; Singh, Dr. S. K.Abstract : Sustainable land use options consisting of crops and cropping sequence in the arable land and fruits and wood trees together with grasses on the non-arable land and is multi-dimensional. It has the potential to address prime land for various purpose along with the issues like land degradation and climate change. Its efficacy further enhanced if it is anchored on Land Resource database developed following a protocols of 1:10000 scale mapping. Such sustainable land use options are very important for the state of Goa which is the epicentre of climate change having coasts in the western and southern side, undulating uplands in the central region, eco-sensitive marshy land on the both sides of the rivers. Therefore, Land Resource Inventory (LRI) of Goa is taken up for development of land use options. LRI involves high resolution remote sensing data (IRS LISS IV P6 of 5.8 meter resolution) and digital terrain model (Cartosat 1 of 10 meter resolution) for delineating landforms, slope and land uses with Geospatial techniques. A landscape ecological unit (LEU) used as the base map of LRI. In Goa state total 75 landscape ecological units were delineated, two LEUs in Basalt, three in granites, thirty in quartzite-schistose, twenty two in laterites and eighteen to fluvio-littoral marine landscapes. Extensive soil survey was carried out by using LEU map as base map and studied minipits, auger and profile. Thirty three typifying pedons were studied in 75 LEUs. Soil survey data was correlated and identified thirty three soil series. Soil-LEU relationship was established. Results reveals that soil development and the extent and severity of sea water inundation in the Konkan coast and variations in soil organic carbon were also the functions of landscape ecological variables. Dithionite extractable iron oxides to clay ratio was an expression of landscape ecological variables explained the variations in soil colour from hills to the coast. Further the extent of leaching of bases, eluviation and illuviation on the hill ranges, salinization and extensive deposition of sulphidic material in the coast were found to the function of landscape ecological variables. In the situation of high rainfall and temperature on the hills and submergence in the coasts, the soils on the basaltic landscape did not exhibit the characteristics dark grey colour, cracks and slickensides. Potential and actual acid sulphate soils were characterized and mapped using marine landscape ecological variables. The study concludes landscape ecological variables delineated by using high resolution remote sensing data and DTM conceals all the points needed to explain the existing variability in soils. Existing Soil classification (Harindranath et al., 1999) was refined. Typic Haplustepts were refined to Dystric Haplustepts on account of base saturation less than 60 per cent in some parts of the soil profiles. Typic Haplustalfs and Typic Haplustults were redefined as Kanhaplic Haplustalfs and Kanhaplic Haplustults sub-groups based on CEC of clay less than 24 cmol(p+) kg-1. Salinity and sulphuric horizons were established and accommodated in Typic Halaquepts and Sulfic Endoaquepts. Thus the soils of the state were classified into four soil orders, six sub-orders, seven great groups, nine sub-groups, twenty one soil family and 74 phases of thirty three soil series. Depending upon the management needs, soils have been grouped into 26 land management units (LMUs); and were evaluated into four land capability classes, four irrigability classes, four productivity potential classes and soil-site suitability. LMUs on hills were marginally to moderately suitable for cashew and coconut are found not suitable for rice cultivation. In contrast LMUs on the coasts were suitable for rice and not suitable for plantations. The study further concludes that cashew based agri-business model on the hills and rice based agri-business model in the Konkan coasts are the sustainable options. The study further suggested mangrove plantations and vegetating dunes on the beaches for the safety of marine environment. LMU wise, the cost of soil and water conservation programme is estimated. Agro-ecological zones (AEZ) and Agro-ecological sub-zones (AESZ) were developed using LRI database within agro-ecological region and sub-region. The research study reveals that by adopting the suggested agri-business model, rainfed Goa is expected to be water surplus. Thus study concludes the multi-dimensionality of sustainable land use options using LRI database.ThesisItem Open Access DEVELOPMENT OF LAND USE OPTIONS FOR GOA STATE USING LARGE SCALE LAND RESOURCE INVENTORY.(Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2021-03-01) MOHEKAR, DEEPAK SHANKARRAO.; Singh, Dr. S. K.Sustainable land use options consisting of crops and cropping sequence in the arable land and fruits and wood trees together with grasses on the non-arable land and is multi-dimensional. It has the potential to address prime land for various purpose along with the issues like land degradation and climate change. Its efficacy further enhanced if it is anchored on Land Resource database developed following a protocols of 1:10000 scale mapping. Such sustainable land use options are very important for the state of Goa which is the epicentre of climate change having coasts in the western and southern side, undulating uplands in the central region, eco-sensitive marshy land on the both sides of the rivers. Therefore, Land Resource Inventory (LRI) of Goa is taken up for development of land use options. LRI involves high resolution remote sensing data (IRS LISS IV P6 of 5.8 meter resolution) and digital terrain model (Cartosat 1 of 10 meter resolution) for delineating landforms, slope and land uses with Geospatial techniques. A landscape ecological unit (LEU) used as the base map of LRI. In Goa state total 75 landscape ecological units were delineated, two LEUs in Basalt, three in granites, thirty in quartzite-schistose, twenty two in laterites and eighteen to fluvio-littoral marine landscapes. Extensive soil survey was carried out by using LEU map as base map and studied minipits, auger and profile. Thirty three typifying pedons were studied in 75 LEUs. Soil survey data was correlated and identified thirty three soil series. Soil-LEU relationship was established. Results reveals that soil development and the extent and severity of sea water inundation in the Konkan coast and variations in soil organic carbon were also the functions of landscape ecological variables. Dithionite extractable iron oxides to clay ratio was an expression of landscape ecological variables explained the variations in soil colour from hills to the coast. Further the extent of leaching of bases, eluviation and illuviation on the hill ranges, salinization and extensive deposition of sulphidic material in the coast were found to the function of landscape ecological variables. In the situation of high rainfall and temperature on the hills and submergence in the coasts, the soils on the basaltic landscape did not exhibit the characteristics dark grey colour, cracks and slickensides. Potential and actual acid sulphate soils were characterized and mapped using marine landscape ecological variables. The study concludes landscape ecological variables delineated by using high resolution remote sensing data and DTM conceals all the points needed to explain the existing variability in soils. Existing Soil classification (Harindranath et al., 1999) was refined. Typic Haplustepts were refined to Dystric Haplustepts on account of base saturation less than 60 per cent in some parts of the soil profiles. Typic Haplustalfs and Typic Haplustults were redefined as Kanhaplic Haplustalfs and Kanhaplic Haplustults sub-groups based on CEC of clay less than 24 cmol(p+) kg-1. Salinity and sulphuric horizons were established and accommodated in Typic Halaquepts and Sulfic Endoaquepts. Thus the soils of the state were classified into four soil orders, six sub-orders, seven great groups, nine sub-groups, twenty one soil family and 74 phases of thirty three soil series. Depending upon the management needs, soils have been grouped into 26 land management units (LMUs); and were evaluated into four land capability classes, four irrigability classes, four productivity potential classes and soil-site suitability. LMUs on hills were marginally to moderately suitable for cashew and coconut are found not suitable for rice cultivation. In contrast LMUs on the coasts were suitable for rice and not suitable for plantations. The study further concludes that cashew based agri-business model on the hills and rice based agri-business model in the Konkan coasts are the sustainable options. The study further suggested mangrove plantations and vegetating dunes on the beaches for the safety of marine environment. LMU wise, the cost of soil and water conservation programme is estimated. Agro-ecological zones (AEZ) and Agro-ecological sub-zones (AESZ) were developed using LRI database within agro-ecological region and sub-region. The research study reveals that by adopting the suggested agri-business model, rainfed Goa is expected to be water surplus. Thus study concludes the multi-dimensionality of sustainable land use options using LRI database.ThesisItem Open Access DEVELOPMENT OF LAND USE OPTIONS FOR GOA STATE USING LARGE SCALE LAND RESOURCE INVENTORY.(Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2021-03-01) MOHEKAR, DEEPAK SHANKARRAO.; Singh, Dr. S. K.Sustainable land use options consisting of crops and cropping sequence in the arable land and fruits and wood trees together with grasses on the non-arable land and is multi-dimensional. It has the potential to address prime land for various purpose along with the issues like land degradation and climate change. Its efficacy further enhanced if it is anchored on Land Resource database developed following a protocols of 1:10000 scale mapping. Such sustainable land use options are very important for the state of Goa which is the epicentre of climate change having coasts in the western and southern side, undulating uplands in the central region, eco-sensitive marshy land on the both sides of the rivers. Therefore, Land Resource Inventory (LRI) of Goa is taken up for development of land use options. LRI involves high resolution remote sensing data (IRS LISS IV P6 of 5.8 meter resolution) and digital terrain model (Cartosat 1 of 10 meter resolution) for delineating landforms, slope and land uses with Geospatial techniques. A landscape ecological unit (LEU) used as the base map of LRI. In Goa state total 75 landscape ecological units were delineated, two LEUs in Basalt, three in granites, thirty in quartzite-schistose, twenty two in laterites and eighteen to fluvio-littoral marine landscapes. Extensive soil survey was carried out by using LEU map as base map and studied minipits, auger and profile. Thirty three typifying pedons were studied in 75 LEUs. Soil survey data was correlated and identified thirty three soil series. Soil-LEU relationship was established. Results reveals that soil development and the extent and severity of sea water inundation in the Konkan coast and variations in soil organic carbon were also the functions of landscape ecological variables. Dithionite extractable iron oxides to clay ratio was an expression of landscape ecological variables explained the variations in soil colour from hills to the coast. Further the extent of leaching of bases, eluviation and illuviation on the hill ranges, salinization and extensive deposition of sulphidic material in the coast were found to the function of landscape ecological variables. In the situation of high rainfall and temperature on the hills and submergence in the coasts, the soils on the basaltic landscape did not exhibit the characteristics dark grey colour, cracks and slickensides. Potential and actual acid sulphate soils were characterized and mapped using marine landscape ecological variables. The study concludes landscape ecological variables delineated by using high resolution remote sensing data and DTM conceals all the points needed to explain the existing variability in soils. Existing Soil classification (Harindranath et al., 1999) was refined. Typic Haplustepts were refined to Dystric Haplustepts on account of base saturation less than 60 per cent in some parts of the soil profiles. Typic Haplustalfs and Typic Haplustults were redefined as Kanhaplic Haplustalfs and Kanhaplic Haplustults sub-groups based on CEC of clay less than 24 cmol(p+) kg-1. Salinity and sulphuric horizons were established and accommodated in Typic Halaquepts and Sulfic Endoaquepts. Thus the soils of the state were classified into four soil orders, six sub-orders, seven great groups, nine sub-groups, twenty one soil family and 74 phases of thirty three soil series. Depending upon the management needs, soils have been grouped into 26 land management units (LMUs); and were evaluated into four land capability classes, four irrigability classes, four productivity potential classes and soil-site suitability. LMUs on hills were marginally to moderately suitable for cashew and coconut are found not suitable for rice cultivation. In contrast LMUs on the coasts were suitable for rice and not suitable for plantations. The study further concludes that cashew based agri-business model on the hills and rice based agri-business model in the Konkan coasts are the sustainable options. The study further suggested mangrove plantations and vegetating dunes on the beaches for the safety of marine environment. LMU wise, the cost of soil and water conservation programme is estimated. Agro-ecological zones (AEZ) and Agro-ecological sub-zones (AESZ) were developed using LRI database within agro-ecological region and sub-region. The research study reveals that by adopting the suggested agri-business model, rainfed Goa is expected to be water surplus. Thus study concludes the multi-dimensionality of sustainable land use options using LRI database.
