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Factors Affecting Adoption of Improved Sesame Technologies in Some Selected Areas in Bangladesh: an Empirical Study

M. A. Monayem Miah
Agricultural Economics Division, Bangladesh Agricultural Research Institute (BARI), Joydebpur,Gazipur-1701, Bangladesh

Sadia Afroz
Agricultural Economics Division, Bangladesh Agricultural Research Institute (BARI), Joydebpur,Gazipur-1701, Bangladesh.

M. A. Rashid
Agricultural Economics Division, Bangladesh Agricultural Research Institute (BARI), Joydebpur,Gazipur-1701, Bangladesh.

S. A. M. Shiblee
Agricultural Economics Division, Bangladesh Agricultural Research Institute (BARI), Joydebpur,Gazipur-1701, Bangladesh.

Abstract/ Executive Summary:

This study was undertaken to assess the adoption level as well as farmers’ attitude towards cultivating Bangladesh Agricultural Research Institute (BARI) developed improved sesame varieties and its technology management as well. Keeping this view in mind, primary data were collected from major three sesame growing areas of Bangladesh namely, Comilla, Jessore, and Faridpur districts. A total of 540 samples, selected using stratified random sampling method, were interviewed using pre-tested and structured questionnaires. Results reveal that the improved sesame seed adoption level is around one fifth of the total sesame cultivation. The adoption of relating technologies regarding input usage and agronomic practices also depicted similar characteristics due to not taking up recommended improved seed package. Analysis also showed that availability of family labor, application of improved seeds and monitoring and supervision of extension personnel’s have significant contribution on improved seed adoption levels. Although farmers opined that they would be adopting the improved sesame seeds in the upcoming fostering season in view of expanding yields, profits, labor productivity and efficient cultivation. However, many farmers have articulated their concern about unavailability of improved sesame seeds at the farm levels is a major barrier about adopting improved sesame technology.

Keywords: Sesame, Adoption, Improved seed, Management technology

Location: Three major sesame growing districts namely Comilla,Jessore and Faridpur were selected for the study.

Start Date: 00-00-0000

End Date: 00-00-0000

Program Area: Socio-economic and Policy

Non-commodity: Adoption of technology

Objectives:

i. To study the adoption status of improved sesame varieties and their production technologies at farm level;

ii.To find out the factors affecting the adoption of improved sesame technologies at farm level; and

iii. To know farmers’ experience with and attitudes toward improved sesame cultivation.

Methodology:

Sampling technique: A multi-stage sampling procedure was followed to select sample farmers. A total of 540 (3 districts × 3 Upazilas × 60 HHs) sesame cultivating farmers were randomly selected and interviewed for collecting field level data and socioeconomic information for the study.
Analytical techniques: For assessing the adoption of crop management technologies, respondent farmers were grouped into three categories such as high, medium, and low adopter based on the percentage of farmers. Adoption levels were categorized as (70-100%) as high, (50-69%) as medium, and <50% as low. Present study also find out the factors influence to adopt improved sesame variety. The dependent variable of this model was adoption of improved varieties. It is known that the dependent variable is dichotomous so, Ordinary Least Square (OLS) couldn’t be used.
Therefore, MLE method was followed to run the Probit model using STATA software. The empirical probit model was:
Ai = α + β1X1 ++ β2X2+ β3X3+ β4X4 + β5X5+β6X6+ β7X7 + β8X8+ ……..+ Ui
Where,
Ai = Farmers adoption level of improved sesame
variety (If adopted = 1; Otherwise = 0)
α = Intercept
βi = Coefficients of the respective variables (i =1, 2, 3 ---8)
X₁ = Farm size (decimal)
X₂ = Family labour (No./ha)
X₃= Education (Year of schooling)
X₄= Training on agriculture (No./life time)
X₅= Training on oilseed (No./life time)
X₆= Availability of improved seed (Score)
X₇= Cosmopolites of the farmer (Score)
X₈= Extension contact (Score)
Ui = Error term
Variables used in the model and their: measurement In estimating probit model, ‘Adoption’ was the dependent variable. This adoption was scored 1(one) if farmers adopted improved sesame varieties, and 0 if they used indigenous sesame variety. The procedures of measuring independent variables included in the Probit model.The independent variables are farm size, family labour, education, training, availability of improved seed, cosmopoliteness, and extension contact, etc.

Source of Information: The Agriculturists 13(1): 140-151(2015) ISSN 2304-7321 (Online), ISSN 1729-5211 (Print) A Scientific Journal of Krishi Foundation Indexed Journal

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

The study has been conducted to assess the adoption level of improved sesame cultivation at the farm level. It can be concluded from the results that the levels of adoption of the improved sesame varieties along with their management technologies are very low in the study areas. Amongst the sesame cultivators, most of them used BARI old sesame varieties. The factors that significantly influenced farmers to adopt improved variety are family labour, availability of improved seed, farmers’ cosmopolitness, and extension contract. Respondent sesame farmers face various problems during its cultivation such as lack of short duration seeds (sesame & T.Aman), infestation of insects and diseases, lack of finance in terms of liquidity and credit sources, higher cultivation costs, inconsistent supply of electricity, insufficient training and knowledge facilities, water logging and storage capacity, magnified input prices, scarcity of cultivable land and unsuitable weather conditions. Farmers’ perceptions on improved sesame cultivation reveal that most of the respondent farmers wanted to increase sesame cultivation in coming years considering the higher benefit of them in compare to the local variety cultivation. For higher adoption of improved sesame seed and technology in Bangladesh, the Government may take following measures: # Ensure the adequate supply of improved and short-duration sesame variety seeds at farmers’ level. # Provide hand-on training to the sesame farmers on improved sesame cultivation and crop management practices. # Existing extension services should be strengthened for higher adoption of sesame technologies. # Ensure affordable price of the inputs and fair price of the output (sesame) for the farmers. # Credit facilities with favourable terms and conditions should be extended to the enthusiastic sesame farmers.

Knowledge Management: Journal