Open Access Original Research Article

Sustainable Productivity Growth in Philippine Swine Production

Maria Angeles O. Catelo

Asian Journal of Agricultural Extension, Economics & Sociology, Page 1-17
DOI: 10.9734/AJAEES/2017/33022

Few published papers have taken the undesirable input effects in productivity change analysis particularly in swine production of developing countries in which it is a major economic activity and a potential pathway for poverty reduction. Untreated and improperly disposed swine waste can lead to environmental degradation such as groundwater pollution and nitrous oxide emission from the soil. These environmental impacts occur because of huge nutrient surpluses of nitrogen and phosphorus in the soil and increased biological oxygen demand in the wastewater. As green growth initiatives are being promoted in the context of improving swine productivity growth sustainably, there is urgent need to consider these unpriced environmental impacts. The objective of this paper is to clarify if swine farm productivity growth has become environmentally sustainable in a developing country like the Philippines. The Environmentally Sensitive Malmquist Productivity Index (ESMPI) is applied to a balanced panel dataset involving 40 small-scale and commercial swine farms in the top swine-producing regions of Central Luzon and Southern Luzon for the years 2002 and 2015. The results of the estimations show that only 12 or less than one-third of the 40 swine farms experienced productivity growth at the frontier. Their ESMPIs ranged from 1.001 to 1.642 with a mean of 1.151, implying an increase in the environmentally sensitive productivity growth between 2002 and 2015. Such increases were largely due to efficiency rather than technological improvements. For majority of the swine farms, however, productivity growth, inclusive of environmental impacts, has declined.

Open Access Original Research Article

Technology Adoption in Broiler Farming-A Methodical Study among the Broiler Farmers of Sonitpur District of Assam

Monisha Borah, R. A. Halim

Asian Journal of Agricultural Extension, Economics & Sociology, Page 1-8
DOI: 10.9734/AJAEES/2017/32865

The study undertaken is an attempt to investigate and analyse the level of technology adoption across different size groups of broiler farms in Sonitpur district of Assam during 2011-12. The study was conducted with a sample of 100 numbers of broiler farms using specially designed pre-tested schedules and questionnaires through personal interview with the respondent farmers. Sampling design followed for the study was stratified random sampling design. The results of the study reveal that the entire sample followed scientific rearing and management practices right from housing and feeding to utilization of equipments to medication and vaccination, with some deviation from the recommendations. However, large sized farms were more technology oriented than the small farms. In terms of adoption of recommended stocking density, vaccination, utilization of equipments etc. the level of adoption is satisfactory for the entire sample, while in regard to housing, utilization of litter and lime, feeding and nutrition, large sized farms were close to recommendation than the smaller farms. Financial self-sufficiency, education, exposure to the outer world, decision making capacity etc. were the factors that determined the level of adoption of recommended technologies by the broiler farmers. Lack of proper training and awareness along with poor financial condition stood as a hinder for the small sized farms in adopting scientific rearing practices while large sized farms with sound financial condition and good awareness adopted scientific rearing practices as per recommendations.

Open Access Original Research Article

Constraints Faced by Agricultural Technology Management Agency Extension Functionaries of Assam, India and Their Suggestions to Overcome Them

Priyanka Das, Sajib Borua

Asian Journal of Agricultural Extension, Economics & Sociology, Page 1-7
DOI: 10.9734/AJAEES/2017/32995

Agricultural Technology Management Agency (ATMA) extension functionaries are authorized personnel, who help the farmers by transferring technology from research station to them. But during technology dissemination, they have to face a lot of difficulties. Therefore, the present study was conducted in Assam to enumerate the constraints faced by the functionaries and also tried to pool out the probable suggestions as opined by the respondents themselves. Personal interview method was used to collect the data from 120 respondents and appropriate statistical measures like frequency, percentage were applied to analyse the data. The study listed out the constraints encountered by the ATMA extension functionaries such as lack of training on new technologies, lack of knowledge on efficient and appropriate methodologies in extension activities, lack of cooperation from senior colleagues, delay in availability of salary, lack of orientation training for newly recruited staff, non-availability of agricultural inputs at an affordable price etc. The main suggestions given by them for improving their role performance were to provide training on new technologies, to prepare proper programme planning, to develop internal organizational structure and to dispense salary in time. Therefore, the concerned departments and organizations need to pay attention to their problems in order to solve these and make the ATMA extension functionaries more efficient.

Open Access Original Research Article

Forecasting and Growth Model of Cotton in Tamil Nadu State

M. Sundar Rajan, M. Palanivel

Asian Journal of Agricultural Extension, Economics & Sociology, Page 1-5
DOI: 10.9734/AJAEES/2017/32452

Computing the growth of any entity over a time period is important for understanding the past behaviour and for future planning. ‘Compound growth rate’ is one of the frequently used methods for calculating the growth rate models. Among the statistical study was carried out on different growth models viz., Linear, Quadratic, Cubic, Exponential, Compound, Logarithmic, Inverse, Power, Growth and S-Curve models to project the area, production and productivity cotton crop in Tamil Nadu for 1970-71 to 2012-13. The study revealed that through all models exhibited significant; the cubic model is the best fitted, for its highest adjustedR2 and exhibited decreasing future projection trends with respect to area and production of cotton. Although the productivity showed slightly increasing trends during the past and future.

Open Access Original Research Article

Assessing Agricultural Extension Professionals Opinion towards Sustainable Agriculture in Bangladesh

Shaikh Shamim Hasan, Mursaleen Zebin Turin, Mithun Kumar Ghosh, Md. Ibrahim Khalil

Asian Journal of Agricultural Extension, Economics & Sociology, Page 1-13
DOI: 10.9734/AJAEES/2017/33338

Aims: The farmers of Bangladesh is producing extra food for huge number of people by injudicious use of agro-chemicals thereby damaging the ecosystem and hampering the sustainability. For checking this ill practice, it requires shifting of good practice to the farmers by the extension agent although information gap exists regarding extension professionals opinion towards sustainable agriculture. The main target of this study is to chalk out the extension professional opinion towards sustainable agriculture in Bangladesh.

Study Design: A descriptive survey research design is followed for the study and mailed questionnaire is the main instrument of the research.

Place and Duration of Study: Data were collected from the Sub Assistant Agriculture Officers (SAAOs) under the department of Agricultural Extension (DAE) of five Upazilas (the lowest administrative unit of the country) of five Districts. The Upazilas were Sadar Upazila of Gazipur District, Sadar Upazila of Gaibandha District, Kaliganj Upazila of Jhenaidah District, Chakaria Upazila of Cox’s Bazar District and Jhuraicharri Upazila of Rangamati District.

Methodology: A total number of 165 SAAOs of the five Upazilas were the population and out of the collected questionnaire from the SAAOs, 115 were treated as the sample of the study. The questionnaire was developed according to the objective of the research. For judging the opinion five point Likert scale was used. Multiple regression analysis was administered using SPSS for finding out the influence of extension professionals socio-demographic characteristics on their opinion towards sustainable agriculture.

Results: The extension professionals had moderate to low level of opinion towards sustainable agriculture. Three characteristics (eg. in-service training, in-service sustainable agriculture training and environmental consciousness) had influence on the opinion according to the regression results.   

Conclusion: There is a need to arrange different types of in-service training related to sustainable agriculture. Future research is needed with incorporation of other variables along with the current one to get more robust results.