M.M. Ali
Department of Agroforestry and Environment, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh
M.S. Hossan
Department of Agroforestry and Environment, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh
N. Akter
Department of Horticulture, HSTU, Dinajpur, Bangladesh
M.M. Khanam
Department of Agroforestry and Environment, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh
M.R. Khan
Department of Agricultural Extension, HSTU, Dinajpur, Bangladesh
Potato, Climate smart potato, Farmer’s perception
Dinajpur, Thakurga on and Panchagarh
Variety and Species
The study was carried out in three northern district of Bangladesh viz. Dinajpur, Thakurgaon and Panchagarh. For the survey, stratified sampling technique was followed to select districts and simple random sampling technique was used to select sample areas in districts. A total of 20 villages were selected under 5 sampled upazilla namely Birgang, Dinajpur Sadar, Thakurgaon Sadar, Debiganj and Panchagarh Sadar of these three districts. Fifteen farmers were interviewed in each village through a pre-tested questionnaire. For measuring the perception to climate smart potato varieties by the farmers, eight climate smart potato varieties viz. BARI Alu- 41 (heat tolerant), BARI Alu-46 (late blight resistant), BARI Alu-53 (late blight resistant), BARI Alu-72 (heat and salt tolerant), BARI Alu-73 (heat and salt tolerant), BARI Alu-77 (late blight resistant), BARI Alu-90 (late blight resistant), and BARI Alu-91 (late blight resistant) were considered. The extent of perception towards climate smart potato varieties were measured by using a 4-point modified Liker type scale like no knowledge = 0, little knowledge = 1, moderate knowledge = 2, high knowledge = 3, respectively (Kamaly 2011) by using 7 characteristics of different climate smart potato varieties. The perception score of a respondent was determined by adding up the weights for responses against 7 characteristics viz. size, shape, color, abiotic stress tolerance, days to maturity, storage quality and yield. Thus, perception score of a respondent could range from 0 to 21, while 0 indicating no perception and 21 indicating high perception to climate smart potato varieties. There were some well-defined data indicators in the questionnaire namely name, age, sex, education, profession, farm size, family annual income, involvement in potato production, knowledge on potato production, constraints faced in potato production in Bangladesh. Data were obtained by face to face interview of 300 respondents of selected areas. Before interviewing, objectives of the study were explained to them. The survey was carried out during the major potato growing season of Bangladesh (November 2018 to March 2019). Necessary secondary data were also collected from different sources in addition to primary data. After the completion of data collection, all filled up questionnaires were preserved according to the category of respondents for processing and data analysis. Data on different parameters were analyzed by using the Statistical Product and Service Solutions computer software SPSS version 22,an IBM product since 2009 (Hejase and Hejase, 2013). Furthermore, according to Hejase and Hejase (2013), “descriptive statistics deals with describing a collection of data by condensing the amounts of data into simple representative numerical quantities or plots that can provide a better understanding of the collected data.” Therefore, descriptive statistical measures such as number, percentage distribution, range, mean, standard deviation and coefficient of variation were used in describing the variable.
J. Soil Nature 6 (1):1-10 (March 2012)
Journal