FACTORS INFLUENCING ADOPTION OF IMPROVED SOYA BEAN PRODUCTION TECHNOLOGIES AMONG FARMERS | Blazingprojects Postgraduate Thesis
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FACTORS INFLUENCING ADOPTION OF IMPROVED SOYA BEAN PRODUCTION TECHNOLOGIES AMONG FARMERS

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of Study
  • 1.3Problem Statement
  • 1.4Objectives of Study
  • 1.5Limitations of Study
  • 1.6Scope of Study
  • 1.7Significance of Study
  • 1.8Structure of the Research
  • 1.9Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Overview of Improved Soya Bean Production Technologies
  • 2.2Adoption of Agricultural Technologies in Farming
  • 2.3Factors Influencing Adoption of Agricultural Technologies
  • 2.4Previous Studies on Adoption of Soya Bean Technologies
  • 2.5Benefits of Adopting Improved Soya Bean Production Technologies
  • 2.6Challenges in Adoption of Soya Bean Technologies
  • 2.7Innovations in Soya Bean Production
  • 2.8Sustainability of Soya Bean Production Technologies
  • 2.9Government Policies and Programs Supporting Soya Bean Production
  • 2.10Role of Extension Services in Promoting Soya Bean Technologies

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Methodology Overview
  • 3.2Research Design and Approach
  • 3.3Sampling Methods and Data Collection
  • 3.4Data Analysis Techniques
  • 3.5Questionnaire Design and Administration
  • 3.6Ethical Considerations in Research
  • 3.7Reliability and Validity of Data
  • 3.8Limitations of the Research Methodology

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • 4.1Overview of Research Findings
  • 4.2Adoption Patterns of Soya Bean Technologies
  • 4.3Factors Influencing Adoption Decisions
  • 4.4Comparison of Adoption Rates
  • 4.5Impact of Government Policies on Adoption
  • 4.6Innovations Driving Adoption
  • 4.7Challenges Hindering Adoption
  • 4.8Recommendations for Enhancing Adoption Rates

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Summary of Findings
  • 5.2Conclusions Drawn from the Research
  • 5.3Implications of the Study
  • 5.4Recommendations for Future Research
  • 5.5Final Thoughts and Closing Remarks

Thesis Abstract

This study determined the factors influencing adoption of recommended soyabean production in Ijumu and Kabba Bunu Local Government Areas of Kogi State, Nigeria. A Combination of purposive and simple random sampling technique were used to select a total of one hundred and sixty four (164) farmers for this study. Analytical tools used were descriptive statistics and regression analysis. The result of the analysis show that majority (76%) of the respondents were within the age range of 20-49 years; majority (90%) were literate; about 38% had farming experience of 11-20 years with a mean of 16 years. The majority of the farmers (57%) had contact with extension agents; majority (56%) were married, and majority (82%) were male. However, majority (60%) of the respondents had farm size that ranges between 0.1-2.0 hectares; 77% were members of cooperative associations while majority (55%) had no access to credit and therefore financed their production through their personal savings. The results also show that majority (87%) of the farmers were aware of planting healthy/viable seeds. Majority (76%) of the respondents obtained information on the recommended soyabean practices through extension agents in the study area. The relationship between selected socio economic institutional factors and the adoption of recommended soyabeans production practices show that out of nine variables, six variables had significant influence on adoption of the technologies. The results also indicate that there was high adoption of some practices, planting date, planting on flat ground, recommended weeding time and recommended harvesting time which may be due to the simplicity of the practices and the attribute of not requiring too much money on labour to implement. However, there was low adoption of improved practices like planting on ridges, herbicides application, recommended processing method and recommended soyabean planter. Finally, the most severe constraints faced by farmers in the adoption of recommended soyabean production practices were high cost of labour (62%), high cost of the technology (53%) and low access to credit about 36% of the respondents. It is thereby recommended that government and non-governmental organizations dealing with extension agent should therefore embark on the facilitation techniques of delivery. This will enable the farmers to identify their problems, determine their need and discovered their potentials rather than always feeding them with information.

Thesis Overview

1.1     Background of the Study
Soybean (Glycine max) is relatively new crop in Africa. Until recently, it was seen as being appropriate only for large- scale commercial farming for production of seed that are used in making livestock feed. The major soybean producing countries in the world are the United States, Brazil, China, Nigeria, India, Argentina, South Africa and Uganda (IITA, 2009).Soyabean cultivation in Nigeria starts in May / June with land clearing, and its harvesting normally done in October through November. The crop is harvested 3-4 months after planting, depending on the time of sowing and the variety. Benue state is the dominant soybean producing area but several other states, such as Kaduna, Plateau, Nasarawa are increasing in production. Soybean can contribute to the enhanced sustainability of intensified cropping systems by improving soil fertility through nitrogen fixation, permitting a longer duration of ground cover in the cropping sequence, and providing useful crop residue for animal feed (Rolling and Wagemater,
1998).
Over the last two decades, International Institute for Tropical Agriculture (IITA) has made substantial effort to improve the productivity of the crop by developing high yielding, early maturing varieties capable of nodulating in association with the local rhizobia, and possessing and other good agronomic traits. The improved soybean varieties released in Nigeria include TGX 306-036c, TGX 1485—IED, TGX 53-02D and TGX 440—1E. The identification of seed collected from farmers revealed that farmers were planting the following varieties: M351- 1E, TGX 1448-2E, TGX 306-036C and TGX 1485-lED IITA, 2009.

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