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Acharya N G Ranga Agricultural University, Guntur

The Andhra Pradesh Agricultural University (APAU) was established on 12th June 1964 at Hyderabad. The University was formally inaugurated on 20th March 1965 by Late Shri. Lal Bahadur Shastri, the then Hon`ble Prime Minister of India. Another significant milestone was the inauguration of the building programme of the university by Late Smt. Indira Gandhi,the then Hon`ble Prime Minister of India on 23rd June 1966. The University was renamed as Acharya N. G. Ranga Agricultural University on 7th November 1996 in honour and memory of an outstanding parliamentarian Acharya Nayukulu Gogineni Ranga, who rendered remarkable selfless service for the cause of farmers and is regarded as an outstanding educationist, kisan leader and freedom fighter. HISTORICAL MILESTONE Acharya N. G. Ranga Agricultural University (ANGRAU) was established under the name of Andhra Pradesh Agricultural University (APAU) on the 12th of June 1964 through the APAU Act 1963. Later, it was renamed as Acharya N. G. Ranga Agricultural University on the 7th of November, 1996 in honour and memory of the noted Parliamentarian and Kisan Leader, Acharya N. G. Ranga. At the verge of completion of Golden Jubilee Year of the ANGRAU, it has given birth to a new State Agricultural University namely Prof. Jayashankar Telangana State Agricultural University with the bifurcation of the state of Andhra Pradesh as per the Andhra Pradesh Reorganization Act 2014. The ANGRAU at LAM, Guntur is serving the students and the farmers of 13 districts of new State of Andhra Pradesh with renewed interest and dedication. Genesis of ANGRAU in service of the farmers 1926: The Royal Commission emphasized the need for a strong research base for agricultural development in the country... 1949: The Radhakrishnan Commission (1949) on University Education led to the establishment of Rural Universities for the overall development of agriculture and rural life in the country... 1955: First Joint Indo-American Team studied the status and future needs of agricultural education in the country... 1960: Second Joint Indo-American Team (1960) headed by Dr. M. S. Randhawa, the then Vice-President of Indian Council of Agricultural Research recommended specifically the establishment of Farm Universities and spelt out the basic objectives of these Universities as Institutional Autonomy, inclusion of Agriculture, Veterinary / Animal Husbandry and Home Science, Integration of Teaching, Research and Extension... 1963: The Andhra Pradesh Agricultural University (APAU) Act enacted... June 12th 1964: Andhra Pradesh Agricultural University (APAU) was established at Hyderabad with Shri. O. Pulla Reddi, I.C.S. (Retired) was the first founder Vice-Chancellor of the University... June 1964: Re-affilitation of Colleges of Agriculture and Veterinary Science, Hyderabad (estt. in 1961, affiliated to Osmania University), Agricultural College, Bapatla (estt. in 1945, affiliated to Andhra University), Sri Venkateswara Agricultural College, Tirupati and Andhra Veterinary College, Tirupati (estt. in 1961, affiliated to Sri Venkateswara University)... 20th March 1965: Formal inauguration of APAU by Late Shri. Lal Bahadur Shastri, the then Hon`ble Prime Minister of India... 1964-66: The report of the Second National Education Commission headed by Dr. D.S. Kothari, Chairman of the University Grants Commission stressed the need for establishing at least one Agricultural University in each Indian State... 23, June 1966: Inauguration of the Administrative building of the university by Late Smt. Indira Gandhi, the then Hon`ble Prime Minister of India... July, 1966: Transfer of 41 Agricultural Research Stations, functioning under the Department of Agriculture... May, 1967: Transfer of Four Research Stations of the Animal Husbandry Department... 7th November 1996: Renaming of University as Acharya N. G. Ranga Agricultural University in honour and memory of an outstanding parliamentarian Acharya Nayukulu Gogineni Ranga... 15th July 2005: Establishment of Sri Venkateswara Veterinary University (SVVU) bifurcating ANGRAU by Act 18 of 2005... 26th June 2007: Establishment of Andhra Pradesh Horticultural University (APHU) bifurcating ANGRAU by the Act 30 of 2007... 2nd June 2014 As per the Andhra Pradesh Reorganization Act 2014, ANGRAU is now... serving the students and the farmers of 13 districts of new State of Andhra Pradesh with renewed interest and dedication...

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20153
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Subject: Agricultural Extension × End date: 2015 × Start date: 2015 ×
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    ThesisItemOpen Access
    IMPACT OF ENTREPRENEURIAL BEHAVIOUR ON FARMING PERFORMANCE OF COTTON GROWERS IN KURNOOL DISTRICT OF ANDHRA PRADESH
    (Acharya N.G. Ranga Agricultural University, 2015) FAYAZ, S; Dr. P.V. SATYA GOPAL
    The present study was conducted with broad objective of studying the impact of entrepreneurial behaviour on farming performance of cotton growers in Kurnool district of Andhra Pradesh and to study the influence of their personal characteristics on entrepreneurial behaviour and farming performance. The problems faced by the cotton growers and their suggestions to overcome the problems for better entrepreneurship and farming performance were also elicited. Ex-post- facto research design was followed in the present investigation. Adoni, Kosigi, Mantralayam were selected purposively based on the highest area under cotton crop in Kurnool district. Four villages were selected from each mandal thus constituting a total of twelve villages. A total of 120 cotton farmers, 10 from each village were selected randomly. Ten independent variables and the entrepreneurial behaviour, farming performance as the dependant variable were identified for the study. Data were collected from the respondents through pre-tested structured interview schedule individually. Majority of the Cotton growers belonged to middle aged, educated up to primary school, having small land holdings and possessed medium level of farming experience, annual income, social participation, training xii undergone, scientific orientation, marketing facilities and approach banks for micro finance. Majority of Cotton growers had medium level of entrepreneurial behaviour and farming performance. Correlation analysis revealed that there was positive and significant relationship between entrepreneurial behaviour and farming performance of cotton growers. Correlation analysis revealed that age and farming experience had non-significant relationship whereas education, farm size, annual income, social participation, training undergone, scientific orientation, sources of micro finance and marketing facilities had positive and significant relationship with the entrepreneurial behaviour and farming performance of Cotton growers. Regression analysis revealed that out of the 10 selected independent variables age, education, farm size and market facilities are positively and significantly contributed to the most of the variation in entrepreneurial behaviour of Cotton growers. Regression analysis revealed that out of the 10 selected independent variables training undergone, sources of microfinance, scientific orientation and market facilities are positively and significantly contributed to the most of the variation in farming performance of Cotton growers. The results of the ANOVA test clearly indicated that the calculated ‘P’ value was less than the ‘P’ table value among the mean groups of entrepreneurial behaviour and hence it was inferred that there was a significant impact of entrepreneurial behaviour on framing behaviour of cotton growers. Further the results of Duncan Multiple Range test reveals that the respondents under low, medium and high Entrepreneurial behaviour category were not overlapping and each category differ significantly. Non availability of labour, high cost of labour, lack of machinery for cotton cultivation operations, lack low market price, poor quality seeds, low yields, lack of adequate trainings on improved cotton practices, more incidence of pests and diseases, adverse weather conditions, poor extensionfarmer linkages were the major problems expressed by the cotton growers. Requirement of machinery for different cotton cultivation operations, adequate market price, NREGS works should be converged to cotton operations where labour requirement is more, provision of good quality seed, strengthening of training, research facilities to update knowledge and skills, organization of exposure visits to well grown areas to make the farmers understand and adopt new technologies, more number of visits by extension personnel to farmers fields, avoid fluctuation of market price, credit with low interest rate, assured and continued power supply.
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    ThesisItemOpen Access
    A STUDY ON ENTREPRENEURIAL BEHAVIOUR OF AGRIPRENEURS IN VISAKHAPATNAM DISTRICT OF ANDHRA PRADESH
    (Acharya N.G. Ranga Agricultural University, Guntur, 2015) SINDHU, K; Dr. T. GOPI KRISHNA
    “Agriculture is the back bone of India where the agro based industry is considered as an extended arm of agriculture”. With the development of agro based industries, more employment oppourtunities both at production and marketing stages can be created. Agripreneurship is thus need of hour to make agriculture a more attractive and profitable venture. With agriculture as the key income generation activity, the entrepreneurship based on farm and home can directly affect the income of a major chunk of our population. There is a vast scope for entrepreneurial activities in the agricultural sector. A study on Entrepreneurial behaviour of agripreneurs was conducted in Visakhapatnam district of Andhra Pradesh during 2014-15. A total of 120 agripreneurs were chosen randomly from the registered list with DIC, KVIC from the district based on their number in the district. The study was conducted by following Ex-post-facto research design. The data was collected by personal interview method through pre-tested structured interview schedule. Appropriate statistical procedures were employed to analyse and interpret the data. Entrepreneurial behaviour of agripreneurs was selected as the dependent variable and scale was developed using Likert method of summated rating technique and the scale comprises of 45 statements. The detailed analysis of the profile of agripreneurs indicated that majority of the agripreneurs were middle aged belonging to forward/ Other castes and were male, educated upto intermediate, having medium annual income with majority of the enterprises located in villages and are micro in nature. More than one third of agripreneurs having their volume of business as 20-30 lakhs and entrepreneurial experience of 1-5 years. More than half of the agripreneurs had not received any training and had medium employment generation, medium financial behaviour, medium mass media exposure, medium market orientation. Medium Entrepreneurial behaviour was found to be exhibited by little less than half of the agripreneurs. The computed correlation coefficient ‘r’ values of education, entrepreneurial experience, caste, entrepreneurial development programme participation, employment generation, financial behaviour, mass media exposure, market orientation were found to be positively significant in their relationship with entrepreneurial behaviour of agripreneurs at 0.01 level of probability. Annual income was positively significant with entrepreneurial behaviour of agripreneurs at 0.05 level of probability. Whereas variables such as age, gender, location of enterprise, size of enterprise, volume of business were found to be positive and non-significant with the entrepreneurial behaviour of agripreneurs. Multiple linear regression with 14 selected Profile characteriatics gave the R2 (coefficient of multiple determination) value of 0.842 for entrepreneurial behaviour of agripreneurs leaving the rest to extraneous factors. The Profile characteristics like age, education, annual income, caste, market orientation had contributed significantly at 0.05 level of probability towards the variation in entrepreneurial behaviour of agripreneurs. The remaining variables such as size of the enterprise, volume of the business, entrepreneurial experience, entrepreneurial development programme (EDP) participation and financial behaviour contributed significantly at 0.01 level of probability. Major constraints faced by agripreneurs include: inadequate risk taking ability, low level of self confidence, inadequate decision making ability, inability to spare much time to business, multiple role conflicts and inadequate support from family, inadequate training on agri enterprises, inadequate consultancy and counseling services, inadequate organizational guidance and support, non availability of skilled labour, inadequate knowledge about emerging techniques in enterprise and inadequate managerial experience, poor marketing facilities, stiff competition with other entrepreneurs, inadequate market information and inadequate demand for the produce, inadequate financial guidance and assistance, lack of working capital, high rate of interest and non availability of collateral security for getting loans, poor access to formal credit facilities, poor infrastructural facilities, tedious registration and licensing procedures, poor infrastructural facilities and poor access to formal credit facilities. Suggestions offered by agripreneurs for development of agripreneurship in percentage rank order of their importance include: provision of good marketing facilities, simplifying procedure for obtaining loan, provision of timely credit facility, organisation of training programmes and regular follow up, organising awareness programmes on different schemes and policies of government and banks, increasing subsidy component under different schemes, setting up of marketing cooperatives, providing fiscal incentives for agripreneurs, capacity building initiatives of agripreneurs in their specific ventures by the nodal agencies, introducing various concessions and incentives for agripreneurs, establishment information centres and help desk at local level to help agripreneurs and wider publicity with regard to agripreneurship as a means of self employment.
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    ThesisItemOpen Access
    IMPACT OF FARMER FIELD SCHOOLS (FFSs) ON THE RICE FARMERS IN NELLORE DISTRICT OF ANDHRA PRADESH
    (ACHARYA N.G. RANGA AGRICULTURAL UNIVERSITY, GUNTUR, 2015) SIDDESWARI, G.K.; SAILAJA, V
    The Farmer Field School (FFS) approach is a participatory methodology of technology development and dissemination, which gives the farmer an opportunity to learn through practical field activities (Pontius et al. 2000). The special feature of FFS is field based learning and acts as a primary venue of learning for farmers. The FFS programme also empowers the farmers to take economically viable decisions by adopting the practices of Integrated Crop Management (ICM). For the success of any programme, there should be a periodical appraisal and evaluation of what is being done, so that suitable changes can be made for effective functioning. Since Department of Agriculture organized many number of farmer field schools on rice in Nellore district, an attempt was made to study the impact of the FFS programme in terms of knowledge gained, extent of adoption, productivity and profitability levels of ICM practices by the participant and non participant farmers of rice FFS. Ex-post-facto research design was used in the present investigation. Nellore district of Andhra Pradesh was purposively selected as rice was being extensively cultivated in the district and also more number of Farmer Field Schools (FFSs) on rice were bring successfully organized in the district. Out of 46 mandals of Nellore district, 3 mandals were purposively selected based on the highest number of FFS conducted on rice. Two categories of villages i.e. one FFS village and another non FFS village from each selected mandal was selected randomly thus making a total of six villages for the study. From each selected FFS village, 25 farmers were selected randomly from the list of the participant farmers of rice FFS obtained from the officials of the state department of agriculture making a total of 75 respondents under the participant category. Further, from each non FFS selected village, 25 respondents were selected by using simple random sampling procedure, making a total of 75 respondents under nonparticipant category. Both the respondents put xvii together constitute a total sample of 150 respondents for the study. The data were collected by personal interview method through structured interview schedule and analyzed by employing suitable statistical tools. Majority of the participant farmers were middle aged with primary to intermediate level education, big to small land holding, medium to low farming experience, medium to low social participation, medium to high mass media exposure, medium extension contact, medium to high innovativeness, medium scientific orientation, medium achievement motivation, high to medium management orientation and medium economic orientation. Whereas in case of non participant farmers majority were middle aged with primary to intermediate level education, small to marginal land holding, medium to low farming experience, medium to low social participation, medium to low mass media exposure, medium to low extension contact, medium to low innovativeness, medium scientific orientation, medium to low achievement motivation, medium to low management orientation and medium economic orientation. Majority of the participant farmers had medium to high level of knowledge, medium to high level of adoption, medium to high level of productivity and medium to high level of profitability. Whereas in case of non participants, medium level of knowledge, medium level of adoption, medium to low level of productivity and medium to low level of profitability was observed. The independent variables viz., education, social participation, mass media exposure, extension contact, innovativeness, scientific orientation, achievement motivation, management orientation and economic orientation were found to be positively significant with the knowledge level of participant farmers. Whereas in case of non participant farmers education, social participation, mass media exposure, extension contact, innovativeness, scientific orientation, achievement motivation and management orientation were found to be positively significant with the knowledge level. All the selected 12 independent variables put together explained about 86.10 per cent variation in the knowledge level of participant farmers and 59.30 per cent variation in the knowledge of non participant farmers of rice FFSs. The independent variables viz., education, social participation, mass media exposure, extension contact, innovativeness, scientific orientation, achievement motivation, management orientation, and economic orientation were positively significant with the extent of adoption of participant farmers. Whereas in case of non participant farmers education, social participation, mass media exposure, extension contact, innovativeness, scientific orientation, achievement motivation and management orientation were found to be positively significant whereas age, farming experience were found negatively significant with the extent of adoption. All the selected 12 independent variables put together explained about 79.90 per cent variation in the extent of adoption of participant farmers and 58.70 per cent variation in the extent of adoption of non participant farmers of rice FFSs. xviii The independent variables viz., education, social participation, mass media exposure, extension contact, innovativeness, scientific orientation, achievement motivation, management orientation, and economic orientation were found to be positively significant with the productivity level of participant farmers. Whereas in case of non participant farmers education, social participation, mass media exposure, extension contact, innovativeness, scientific orientation, achievement motivation and management orientation were found to be positively significant whereas age, farming experience were found negatively significant with the productivity level. All the selected 12 independent variables put together explained about 77.60 per cent variation in the productivity level of participant farmers and 60.90 per cent variation in the productivity level of non participant farmers of rice FFSs. The independent variables viz., education, social participation, mass media exposure, extension contact, innovativeness, scientific orientation, achievement motivation, management orientation, and economic orientation were found to be positively significant with the profitability level of participant farmers. Whereas in case of non participant farmers education, social participation, mass media exposure, extension contact, innovativeness, scientific orientation, achievement motivation and management orientation were found to be positively significant whereas age, farming experience were found negatively significant with the profitability level. All the selected 12 independent variables put together explained about 77.20 per cent variation in the profitability level of participant farmers and 69.40 per cent variation in the profitability level of non participant farmers of rice FFSs. The ‘t’ test indicated that participant farmers had higher level of knowledge, extent of adoption, productivity and profitability levels when compared to non participant farmers of rice FFS with regard to recommended ICM practices. Chi-square test indicated that there was significant association between ‘participation in FFS’ and the level of knowledge, extent of adoption, productivity and profitability levels of the respondent farmers. The most important problems encountered by the FFS farmers in rice cultivation were ‘inability to take risk without usage of insecticides’, ‘shortage of labour for agricultural purpose’, ‘lack of remunerative price’ and ‘exploitation by middlemen’ followed by ‘unfavorable climate’, ‘lack of community participation in adoption of ICM practices’, ‘difficulty in estimation of Economic Threshold Levels’, ‘high cost of labour’, and ‘non availability of inputs in time’. The important suggestions given by the majority of the participant farmers to overcome the problems were ‘supply of bio products by Department of Agriculture and KVK’ followed by ‘bringing social movement to adopt ICM practices by the farmers’ and ‘convergence of Mahatma Ghandi National Rural Employment Guarantee Scheme (MGNREGS) for agricultural activity’ followed by ‘arranging practical training for farmers other than FFS training’ and ‘convergence of MGNREGS for agricultural activity’, ‘timely supply of inputs by the government through department of agriculture’, ‘government should provide subsidy on labour wages’ and ‘agricultural scientists should focus their research on climate change scenario’. A suitable strategy has been formulated for effective functioning of FFSs.