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Kerala Agricultural University, Thrissur
The history of agricultural education in Kerala can be traced back to the year 1896 when a scheme was evolved in the erstwhile Travancore State to train a few young men in scientific agriculture at the Demonstration Farm, Karamana, Thiruvananthapuram, presently, the Cropping Systems Research Centre under Kerala Agricultural University. Agriculture was introduced as an optional subject in the middle school classes in the State in 1922 when an Agricultural Middle School was started at Aluva, Ernakulam District. The popularity and usefulness of this school led to the starting of similar institutions at Kottarakkara and Konni in 1928 and 1931 respectively.
Agriculture was later introduced as an optional subject for Intermediate Course in 1953. In 1955, the erstwhile Government of Travancore-Cochin started the Agricultural College and Research Institute at Vellayani, Thiruvananthapuram and the College of Veterinary and Animal Sciences at Mannuthy, Thrissur for imparting higher education in agricultural and veterinary sciences, respectively. These institutions were brought under the direct administrative control of the Department of Agriculture and the Department of Animal Husbandry, respectively. With the formation of Kerala State in 1956, these two colleges were affiliated to the University of Kerala. The post-graduate programmes leading to M.Sc. (Ag), M.V.Sc. and Ph.D. degrees were started in 1961, 1962 and 1965 respectively.
On the recommendation of the Second National Education Commission (1964-66) headed by Dr. D.S. Kothari, the then Chairman of the University Grants Commission, one Agricultural University in each State was established. The State Agricultural Universities (SAUs) were established in India as an integral part of the National Agricultural Research System to give the much needed impetus to Agriculture Education and Research in the Country. As a result the Kerala Agricultural University (KAU) was established on 24th February 1971 by virtue of the Act 33 of 1971 and started functioning on 1st February 1972. The Kerala Agricultural University is the 15th in the series of the SAUs.
In accordance with the provisions of KAU Act of 1971, the Agricultural College and Research Institute at Vellayani, and the College of Veterinary and Animal Sciences, Mannuthy, were brought under the Kerala Agricultural University. In addition, twenty one agricultural and animal husbandry research stations were also transferred to the KAU for taking up research and extension programmes on various crops, animals, birds, etc.
During 2011, Kerala Agricultural University was trifurcated into Kerala Veterinary and Animal Sciences University (KVASU), Kerala University of Fisheries and Ocean Studies (KUFOS) and Kerala Agricultural University (KAU).
Now the University has seven colleges (four Agriculture, one Agricultural Engineering, one Forestry, one Co-operation Banking & Management), six RARSs, seven KVKs, 15 Research Stations and 16 Research and Extension Units under the faculties of Agriculture, Agricultural Engineering and Forestry. In addition, one Academy on Climate Change Adaptation and one Institute of Agricultural Technology offering M.Sc. (Integrated) Climate Change Adaptation and Diploma in Agricultural Sciences respectively are also functioning in Kerala Agricultural University.
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ThesisItem Open Access Differential adoption of plant protection technology by farmers of Kerala - a critical analysis(Department Of Agricultural Extension, College Of Agriculture, Vellayani, 1995) Meera, B; KAU; Thyagarajan Nair, GIndian agriculture has undergone intensive farming with the introduction of high yielding varieties of crops. Adoption of improved technology and management practices for boosting up production of food grains have resulted in serious pest and disease complexes warranting intensive and extensive use of plant protection chemicals. A number of limitations and adverse side effects such as pest resistance to pesticides, pesticide residues, health hazards, environmental pollution and ecological imbalance have been identified recently. The components of plant protection technology were taken to study the differential adoption in important crops like paddy and vegetables by the farmers and explained the variations in their cognitive, affective and connative components of behaviour with a selected set of independent variables. The study analysed the indigenous practices of plant protection being followed by farmers and also their perception about the impact of pesticides on environmental aspects. The major constraints experienced by the farmers in the adoption of plant protection technology along with the suggestions to overcome the same were also studied. The study was undertaken in two districts of Kerala viz., Thiruvananthapuram and Alappuzha. A sample of 120 farmers each from the two districts was selected and the total sample size for the study was 240.The data were collected using an interview schedule and analysed using suitable statistical techniques. There was significant difference among the farmers of Thiruvananthapuram and Alappuzha districts with regard to their knowledge about chemical and cultural methods of plant protection. Majority of farmers of both the districts belonged to low knowledge group. The farmers of both the districts were ignorant about biological, physical and integrated methods of plant protection methods. Majority of the farmers of both the districts possessed favourable attitude towards chemical method of plant protection. The farmers of Alappuzha district were significantly higher adopters of plant protection methods than the farmers of Thiruvananthapuram district. Majority of the farmers of both the districts belonged to low perception category with regard to their perception about the utility and practicability of plant protection methods. Crops yield index and scientific orientation emerged as significant independent variables in the correlation and multiple regression analysis with regard to the farmers of both the districts. The practices, viz., controlled application of nutrients for reducing pest and disease attack in paddy and use of ‘thulsikeni’ in ‘pandals’ to trap and kill fruit flies in vegetables were judged as the most effective and scientifically rational practices adopted by farmers. The farmer’s perception about the impact of pesticides on environmental aspects was very low and majority of them belonged to low perception category. The constraint ‘untimely supply and high cost of imputs’ was the most important constraint experienced by the farmers of Thiruvananthapuram district, while ‘lack of proper drainage facilities’ was the most serious constraint experienced by the farmers of Alappuzha District. The most important suggestion given by the farmers to overcome the constraints was to ‘develop simple and more compatible plant protection technologies’ and the most important suggestion given by the experts to overcome the constraints experienced by the farmers was to ‘impart adequate training to farmers as well as extension workers on IPM practices’. The strategic model developed by integrating the salient findings of the present study, emphasized the importance of popularizing effective plant protection technology among the farmers in ecologically sensitive rice and vegetable production systems in Kerala.ThesisItem Open Access Farmer-labourer relationship in rice production systems -a case study(Department Of Agricultural Extension, College Of Agriculture, Vellayani, 1995) Ramanathan, S; KAU; Thyagarajan Nair, GThe study was undertaken with the objective of analyzing the farmer – labourer relationship in paddy production systems. The study was conducted in two districts of Kerala namely, Thiruvananthapurm and Alapuzha representing two distinctly different paddy production systems. Dyadic approach was used in the conduct of the study and altogether 150 farmer – labourer dyads were selected, 75 dyads each from the selected districts using random sampling. The farmer – labourer relationship was measured with the help of a scale developed for the study having 33 items. A pilot study was conducted for the selection of items to be included in the scale. The response for the items was obtained on a 5 point continuum with bipolar adjectives at the extreme ends as in the case of semantic differential technique. The data on farmer – labourer relationship and on 11 common variables, 7 farmer – related variables and 4 labourer – related variables were collected using a structured interview schedule. The relationship dimensions identified empirically were ‘facilitation’, ‘empathy’, ‘equity’, ‘tolerance’, ‘guidance’, ‘recognition’, ‘economic’, ‘social’ and ‘priority’. In general, a little more than half of the farmer – labourer dyads had high relationship. Like wise, in case of relationship dimensions such as facilitation, equity, tolerance, guidance, social and priority majority of the dyads came under high group. There was no significant difference between the overall relationship of the two study districts and among the three union membership categories. However, there was significant difference between the labourer categories with male labourers having significantly higher relationship than their female counterparts. The dimension – wise performance of farmer – labourer dyads on the whole was in the order of ‘tolerance’, ‘economic’, ‘empathy’, ‘recognition’, ‘social’, ‘guidance’, ‘priority’, ‘facilitation’ and ‘equity’. While there existed a vast dissimilarity in the relationship performance of dimensions of the two study districts, the two labourer categories and the three union membership categories were in agreement with regard to dimension – wise relationship performance. The socio – economic and psychological factors namely, management orientation, persuasiveness, gregariousness, education, ability to handle conflicts and labour use efficiency put together contributed significantly to the relationship of farmer – labourer dyads and explained 68 per cent of the variation in the relationship of farmer – respondents. In case of labourer – respondents, the variables participation in decision making with farmers, employment days and education were observed to be significantly contributing to the farmer – labourer relationship and explained 20 per cent of variation in the relationship.ThesisItem Open Access Interaction of psychological economic, sociological and technological determinants of the entrepreneurial behaviour of agricultural students(Department Of Agricultural Extension, College Of Agriculture, Vellayani, 1997) Seema, B; KAU; Babu, BThe study aimed to identify the factors which are conducive for the entrepreneurial behaviour of agricultural .students. The study was conducted among the students of the two Agricultural colleges of Kerala Agricultural University and the unemployed graduates who have passed out from these colleges. Two hundred and fifty respondents were selected for the main study which comprised of 100 undergraduate students, 100 postgraduate students and 50 unemployed graduates. The entrepreneurial behavior of agricultural students was measured with the help of a scale developed for the study. Based on relevancy rating twenty four independent variables were selected Data were collected through mailed, and distributed questionnaire. The maximum likelihood solution for entrepreneurial behavior extracted 12 factors About 43 per cent of the total variability in the extent of entrepreneurial behavior was accounted by twelve factors. Majority of the respondents in the undergraduate group and unemployed graduates were found to have high level of entrepreneurial behavior. Similarly majority of the male respondents were found to have high level of entrepreneurial behavior. Self esteem, sociability, innovation proneness, Self confidence, attitude towards competition, management Orientation, persuasiveness, and self reliance were found to * be significantly and positively related to entrepreneurial behaviour of undergraduate students. In the case of postgraduate students attitude towards competition, self esteem, innovation proneness, management orientation, self confidence, persuasiveness, sociability, self reliance and attitude towards self employment were found to be significantly and positively related. ■* • . As to the unemployed graduates significant positive relationship was observed between entrepreneurial behaviour and persuasiveness, management orientation, innovation proneness, self confidence and credit orientation. Sociability, self reliance, self confidence, attitude towards competition, self esteem, persuasiveness, management orientation, innovation proneness, attitude towards self employment and technical competency were found to be significantly and positively related with entrepreneurial behaviour of male students. In the case of female students, self confidence, self esteem, self reliance, attitude towards self employment, sociability, management orientation, persuasiveness, annual income, innovation proneness and attitude towards competition showed significant positive relationship with enfrepreneurial behaviour. Attitude towards self employment, innovation proneness, self confidence, credit orientation, self reliance, sociability, marks obtained in Pree-Degree, marks obtained in B Sc. and management orientation explained 36.74 per cent of the variation in entrepreneurial behaviour of undergraduate students. In the case of postgraduate students 49.19 per cent of variation in entrepreneurial behaviour was explained by attitude towards competition, self esteem, sociability, innovation proneness and O.G.P A. (work experience). Persuasiveness and innovation proneness explained 25.12 per cent of variation in entrepreneurial behaviour of unemployed graduates. » As much as 43.28 per cent of variability in entrepreneurial behaviour of male students was explained by sociability, self reliance, persuasiveness, attitude towards •self employment, O.G.P A ( work experience) management orientation, innovation proneness and attitude towards competition For variables viz., self esteem, sociability, innovation proneness and credit orientation were responsible fof 36.65 per cent of-variation in entrepreneurial behaviour of female students. Capital investment, availability of labour, availability of resource and infrastructural facilities were ranked high as factors influencing entrepreneurial behaviour of agricultural students as perceived by different category of respondents.ThesisItem Open Access Vocational higher secondary education in agriculture in Kerala - a multimidensional analysis(Department Of Agricultural Extension, College Of Agriculture, Vellayani, 1993) Kumari Sushama, N P; KAU; Thyagarajan Nair, GThe study aimed at analysing the various dimensions of vocational Higher Secondary Education in Agriculture (VHSEA) in Kerala and to suggest a model for strengthening the same. The study was undertaken in nine VHSEA schools spread over eight districts in Kerala, where the scheme was first introduced in 1983-84 and where VHSEA courses are still being offered. There were 300 student-respondents for the study, viz. 150 respondents who have passed VHSEA from these nine schools during 1986-87, 1987-88 & 1988-89 and 50 each of VHSEA students undergoing PP,F & V and NM & OG courses in these schools at the time of the investigation, selected using probability proportion to size-random sampling. Besides, all the available teachers of VHSEA numbering 36 and 60 randomly selected experts from the State Department of Agriculture, Kerala Agricultural University and the Directorate of VHSE also formed the other categories of respondents for the study. The dependent variables were the student-respondents’ knowledge about the subject matter of the VHSEA Courses, attitude towards VHSEA programme, attitude towards scientific agriculture and evaluate perception of VHSE courses in agriculture. These variables were quantified using standardized measurement devices developed for the study. Ten independent variables were selected and quantified with the help of available procedures. Vocational interest areas, vertical mobility and employment status and factors affecting vertical mobility and employment status were also collected from the student-respondents. Data on the evaluative perception of VHSE courses in agriculture, evaluation of VHSEA syllabi and factors affecting vertical mobility and employability were gathered from the teachers of VHSEA and the experts. Constraints in and suggestions for improvement of VHSEA were also collected from the students and teachers of VHSEA. Pre-tested and structured interview schedules/questionnaires were used for data collection. The study revealed that majority of the student – respondents hailed from rural areas with agricultural background, they had secured low marks in SSLC/VHSEA and their family educational status and economic status were poor. Majority of them had high level of aspiration, and a sizeable number did not have financial support for starting self employment ventures. Majority of the student-respondents had only medium level of knowledge and favourable attitude towards VHSEA programme and scientific agriculture. Majority of the respondents had rated the VHSE courses in agriculture as ‘moderate’ the independent variable significantly influencing the dependent variables in general were marks obtained in SSLC, caste, family economic status, family educational status, level of aspiration (past, present and future) and finance for self employment. Commercial flower production and general agriculture were the most preferred vocational interest areas. Half of the VHSEA certificate holders were studying in degree classes and more than one fourth of them were not continuing their studies. Majority of the VHSEA certificate holders were unemployed. Over six per cent of them were working as Lab assistants and only two respondents were engaged in self employment avenues. Interest in higher education, job opportunities due to higher qualification and attitude towards higher education were the most important factors influencing their vertical mobility while awareness about the avenues for self employment, skill training for doing self employment and interest in taking up self employment were the most important factors influencing their employability. The teachers and experts in general rated the VHSEA as moderate. Low standard of pupils, lack of library facilities, lack of building facilities and lack of facilities for doing practicals were the most important constraints. Permanent teachers should be employed, scholarships and grants should be provided, provision for higher education, job opportunities to the pass outs and public should be made aware of the relevance of the VHSEA were the important suggestions for improvement of VHSEA. Based on the results of the study, a model to strengthen VHSEA in Kerala is suggested.ThesisItem Open Access Adoption of farm implements by the rice farmers of Kerala(Department of Agricultural Extension, College of Agriculture, Vellayani, 1993) Ahamed, P; KAU; Tampi, A MThesisItem Open Access Feasibility and utilization of agricultural technologies among scheduled caste farmers(Department of Agricultural Extension, College of Horticulture, Vellanikkara, 1992) Rajendran, P; KAU; Menon, A GA Study was conducted in Kerala State with the over-riding objective of analyzing the feasibility perception and utilization pattern of agricultural technologies by the scheduled caste farmers of the state and the constraints in and the consequences of utilization of technologies by them. The study was conducted covering all the five agro-climatic regions of the state, using probability proportionate to size random sampling procedure. Three hundred and thirty seven scheduled caste farmers from five panchayaths coming under five Blocks with the highest scheduled caste population representing each agro-climatic region were selected as the respondents. Five enterprises viz, coconut cultivation, tuber crops cultivation, banana cultivation, cattle rearing and goat rearing were selected and five specific practices for each of these enterprises were selected for assessing the utilization pattern of farmers. Feasibility of technology was analysed in terms of different attributes. Fifteen attributes viz., initial cost, availability of raw materials, availability of supplies and services, physical compatibility, efficiency profitability, availability of technology, simplicity suitability time utilization pattern, social acceptability, rapidity of returns, income generation potential, regularity of returns and viability, were selected for the study. The characteristics of the farmers such as education, family size, experience in farming, farm size, annual income, indebtedness, social participation, extension guidance, extension participation, cosmopoliteness, achievement orientation, development orientation, risk orientation, economic motivation, market orientation, self confidence, level of aspiration, rational orientation and innovativeness were selected for the study. These variables were quantified using standardized procedures. Statistical methods such as mena, percentage analysis, zero-order correlation, Kruskallwalli’s one-way analysis of variance, Kendall’s coefficient of concordance, spearman rank order correlation and stepwise regression analysis were employed for analyzing the data. The major findings of the study were: 1. Goat rearing was perceived as the most feasible enterprise while cattle rearing was perceived the least feasible enterprise by the respondents in general, 2. Agro-climatic differentiations caused variations in the perception of feasibility of the enterprises. 3. Simplicity, initial cost, physical compatibility, suitability, availability of raw materials, efficiency and availability of technology were found to be the crucial determinants of feasibility of agricultural technologies in general. 4. More than 50 percent of the respondents were distributed in the medium category with respect to the level of utilization of the selected enterprises, 5. Feasibility perception of the enterprises and its utilization by the respondents were found significantly related with respect to only coconut and cattle enterprises. 6. There was marked inter regional differences in most cases with respect to feasibility perception and utilization of practices for the five enterprises studied, 7. Lack of technical knowledge, lack of necessary supporting services and unavailability of raw materials were reported as the major constraints in the utilization of agricultural technologies in general. 8. Untimely and ineffective utilization of inputs and inclusion in the defaulters list of credit agencies were reported as the major consequences of utilization of agricultural technologies in general. 9. The characteristics of the respondents viz., extension guidance, risk orientation, self confidence, education, economic motivation, market orientation and cosmopoliteness were found to be significant in influencing and explaining the variation in the utilization of the enterprises by the scheduled caste farmers. Based on the findings of the study, a model for the effective implementation of agricultural development programmes among scheduled caste farmers in the state has been suggested.ThesisItem Open Access Fertiliser use behaviour of rice farmers of Kerala(Department of Agricultural Extension, College of Horticulture, Vellanikkara, 1993) Geethakutty, P S; KAU; Menon, A G GThe study was conducted with the main objective of developing an index for measuring the fertilizer use behaviour of rice farmers. A total of 300 rice farmers were selected following multistage random sampling procedure, 60 from each District, so selected that each District represented one NARP Zone. Besides farmer respondents, 40 agricultural scientists, 40 agricultural extension personnel and 40 input dealers were also selected as other categories of respondents for the study. The Composite Fertiliser Use Behaviour Index (CFUBI) was developed by identifying six dimensions of fertilizer/ manure use for rice, (quantity, time of application, split application, type, method of application and related management practices). The weightages of the identified six dimensions were obtained through judges’ rating and also through the relevancy rating of the practices under the identified dimensions. The CFUBI derived by the formula method was compared with the index developed by the Principal Component Analysis (PCA) method. Based on relevancy rating and pilot study, 17 behavioural characteristics were selected as independent variables. The variables were quantified using standardized procedures. Mean and percentage analysis, Delinious Hodges Cumulative Root ‘f’ stratification, Critical difference, Coefficient of variation analysis of variance, kendall’s coefficient of concordance, Chi – square analysis, Correlation analysis, Multiple regression analysis and Principal Component Analysis were the statistical tools used for data analysis. The study revealed that more than 60 per cent of rice farmers were under ‘good’ and ‘satisfactory’ categories based on their CFUBI. The NARP Central Zone had highest percentage of farmers under ‘good’ category of CFUBI, while the Problem Zone had the highest percentage of farmers with regard to the use of nitrogenous, phosphatic and potassic fertilizers. The High Range Zone had the highest percentage of farmers with respect to the use of organic manures. Based on the use of nitrogenous and phsphatic fertilizers, majority of the farmers were categorized under either ‘good’ or ‘satisfactory’ category, while with respect to the use of potassic fertilisers, it was found that farmers were almost similarly distributed under ‘good’, ‘satisfactory’, ‘poor’ and very poor’ categories. The Problem zone and Northern zone were found to be ‘very poor’ with respect to the use behaviour of organic manures and potassic fertilisers respectively. There was significant difference among the five NARP Zones in respect of the different dimensions of use of nitrogenous, phosphatic and potassic fertilizers and organic manures. The use behaviour of potassic fertilisers had the highest factor loadings in explaining variability in the CFUBI of farmers followed by the use behaviour of nitrogenous fertilisers. Split application of nitrogenous fertilisers, quantity and time of application of phosphatic fertilisers, quantity and split application of potassic fertilisers and quantity of organic manures were found significant in predicting the AYI of farmers. The behavioural characteristics of farmers found to be significant in predicting the fertiliser use behaviour of rice farmers were main occupation, level of aspiration, rational decision making ability, attitude towards fertiliser use, information source utilisation and economic performance index. The important technological and situational factors contributing to fertiliser use hehaviour as perceived by the farmers, extension personnel, scientists and input dealers were irrigation facilities, perceived appearance of crop stand, drainage facilities, price of produce, availability of rain and availability of labour. Lack of knowledge about fertiliser use, lack of assured irrigation facilities, high cost of fertilizers, high rate of labour wages, increased incidence of pests and diseases, non availability of organic manures and improper drainage facilities were the major constraints in the composite fertilizer use behaviour of rice farmers in Kerala.ThesisItem Open Access Comparative analysis of characteristics of women labourers engaged in rice farming in the social systems of Kollam and Kanyakumari districts(Department of Agricultural Extension, College of Agriculture, Vellayani, 1996) Rajula Shanthy, T; KAU; Babu, BThe study aimed at analyzing the labour efficiency of women agricultural labourers. The study was conducted in Kollam district of Kerala and Kanyakumari district of Tamil Nadu. A total of 300 women agricultural labourers were selected, 150 from each district using random sampling. The labour efficiency was measured with the help of a scale consisting of 32 items developed for the study. The data on the labour efficiency of women agricultural labourers and on the nineteen socio-personal and psychological characteristics of the women agricultural labourers were collected using a structured interview schedule. The dimensions of labour efficiency identified empirically were ’determination in work situation’, ‘inter – personal relationship’, ‘confidence’, ‘adjustability’, ‘team spirit’, ‘commitment’, ‘work environment’, competency, ‘socio-economic’ and ‘situational’. In general, the women agricultural labourers of both the districts were low in labour efficiency. The dimension – wise analysis of labour efficiency showed that majority of them belonged to high group under the dimensions ‘adjustability’ and ‘competency’ whereas majority had low efficiency with respect to the other dimensions. The factors influencing labour efficiency was in the order of period of employment, supervision by employer, wages and incentives provided, availability of alternative work, training of labourers, nature of tools and implements used, introduction of new machinery and progressive technology, increasing standard of living, adaptability to different tasks and physical condition of labourers. The variables namely caste, intrinsic motivation, independence, cosmopolite orientation, economic motivation, values related to agriculture, satisfaction, gregariousness, attitude towards scientific agriculture, innovativeness and alienation were found to be significantly contributing to labour efficiency. Total number of days of employment of women agricultural labourers in Kollam district was 207 (82 as agricultural and 125 as non-agricultural labour) and in Kanyakumari district it was 182 (78 as agricultural and 104 as non-agricultural labour). The peak season of employment was January – March in both the districts. There was relatively slack in employment during July – August and November –December in Kollam district and during August – September and December in Kanyakumari district. The average annual income from agricultural and non-agricultural labour was Rs. 3610.00 and Rs. 5447.50 in Kollam district, whereas it was Rs. 2695.00 and Rs. 3327.50 in Kanyakumari district respectively.ThesisItem Open Access Entrepreneurial behaviour of agri-business operators in Kerala(Department of Agricultural Extension, College of Horticulture, Vellanikkara, 1998) Senthil Vinayagam, S; KAU; Geethakutty, P SA study was conducted with the main objectives of developing index for measuring entrepreneurial behaviour and agri-business performance and identifying influence of behavioural and situational characteristics on entrepreneurial behaviour. The study was undertaken in Central NARP zone of Kerala, covering 240 agri-business operators. The agri-business operators were categorised into three groups viz., commercial farmers, on-farm and off-farm agri-business operators with 120, 60, 60 as sample size respectively. Entrepreneurial behaviour formed the dependent variable for the study. Agri-business performance was selected as criterion variable. Nineteen independent variables were selected in relation to the objectives based on review of literature and pilot study. Correlation analysis, principal component analysis and factor analysis were employed for data analysis and interpretation. Ten dimensions were identified and used to develop entrepreneurial behaviour index. Factor analysis revealed that innovation proneness, achievement motivation, risk orientation, economic motivation, management orientation and personal efficacy were the important dimensions to measure entrepreneurial behaviour which can be grouped into a single factor termed 'entrepreneurial behaviour efficiency' . Agri-business performance was measured usmg the indicators VIZ., capacity utilisation, hired labour, cost-benefit ratio, perceived profitability, labour relationship, extent of diversification and social contribution from enterprise. Majority of the respondents exhibited moderate to very high entrepreneurial behaviour, whereas they had high to very high agri-business performance. Comparison of the three categories of respondents revealed that there was no difference among them with respect to both entrepreneurial behaviour and agri-business performance. Age, age at entry, scientific orientation, vocational diversification, self confidence, self concept, orientation towards competition, rational orientation, self:' reliance and media utilisation emerged as most important variables in predicting the variation in entrepreneurial behaviour of agri-business operators. High rate of interest, seasonality of demand, high cost of raw material, scarcity of electric power, high labour cost, ineffective consultancy service provided by the government agencies were the major constraints perceived by agri-business operators in influencing the entrepreneurial behaviour. The study established the relationship between entrepreneurial behaviour and agri-business performance which brings out the need and importance for organising Entrepreneurship Development Programme for farmer entrepreneurs.
