Agricultural Research Management Information System

Home
Research Summary
Search
About Us
- ARMIS
- Brochure
Contact Us
Report
User Request
Data Input
Help
- Operation Manual
  - PDF
  - Video
- Program Area & Commodity
We have reached 37600 number of research entries at this moment.

- Logout

Research Detail

Home
Research
Detail

Constraints Faced by the Farmers in Ipm Practices in Rice Cultivation

Md. Al Amin
Bangladesh Food Corporation, Bangladesh

Md. Abul Bashar
Dept.of Agricultural Extension and Information system, Faculty of Agriculture, Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh

Nasima Akhter
Dept.of Agricultural Botany, Faculty of Agriculture, Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh

Mahfuza Afroj
Dept.of Agribusiness and Marketing, Faculty of Agribusiness management, Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh

Mohammad Zohirul Islam
Sandoz Division, Novartis, Dhaka-1000, Bangladesh.

Md. Mahfuzar Rahman
Dept.of Agronomy, Faculty of Agriculture, Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh

Md. Abdullahil Baque
Dept.of Agronomy, Faculty of Agriculture, Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh

Abstract/ Executive Summary:

The main focus of the study was to determine constraints faced by the farmers in IPM practices in rice cultivation, and to explore the relationship between the constraints faced by the farmers in IPM practices and their selected characteristics. The study was conducted at Ratanpur and Sreeampur union of Nabinagar upazila under Brahamanbaria district. Data were collected from 107 rice farmers who were randomly selected as the sample of the study from an update list of 1534 rice farmers that was prepared with the help of Sub-Assistant Agriculture Officers (SAAOs) of the study area. The researcher collected data through personal contact with a well structural pretested inter view schedule. The study revealed that the highest proportion (75.70 percent) of the respondents faced medium constraints in IPM practices, while the17.76 percent of the respondents confronted high constraints and the rest 6.54 percent of respondents faced low constraints in IPM Practices. Pearson’s product moment correlation Co-efficient (r) was computed to explore the relationship between the constraints faced by the farmers in IPM practices and their ten selected characteristics. The correlation analysis stated that education, training received in IMP practices, extension media contract of the farmers had negative relationships with their constraints faced in IPM practices whereas age, total family members, rice cultivation area, annual family income and agricultural experience had no significant relationships with the constraints faced in IPM practices in rice cultivation.

Keywords: Rice, IPM Practices, Constraints

Location: Ratanpur and Sreeampur union of Nabinagar upazila under Brahamanbaria district

Start Date: 00-01-2013

End Date: 00-03-2013

Program Area: Pest Management

Commodity: Insects, Rice

Objectives:

The objectives of this study are to determine and describe some selected characteristics of the rice farmers, to determine the extent of constraints faced by the farmers in IPM practices in rice cultivation, to explore the relationship between the constraints aced by the farmers in IPM practices in rice cultivation and their selected characteristics, and to compare the severity of the constraints faced by the farmers in IPM practices.

Methodology:

This study was conducted on January to March, 2013. Nabinagar upazilla was selected as the location of study. One thousand five hundred and thirty four rice farmers of this upazilla constituted the population of study. Out of these 1534 rice farmers a sample of 107 farmers were selected for the study by following random sampling method. A structured interview schedule was used for collection of relevant data in face-to-face situation. Constraints faced by the farmers in IPM practices in rice cultivation were the main focus of this study and it was considered as the dependent variable. Age, education, total family members, rice cultivation area, training received in IPM practices, annual family income, extension media contact, agricultural experience, cosmopoliteness and knowledge on IPM were considered as independent variables. Age of a respondent was measured by counting the period of time from his/her birth to the time of interview. Education of a respondent was measured in terms of class passed by him/her in formal education system. Total family member of a respondent was measured in terms of the total numbers of members include in the family of the respondents. Rice cultivation area was measured by the area used for rice cultivation in terms of hectares. Training received in IPM practices was measured by the total number of days a respondent received training in his/her entire life on IPM practices. Annual family income of a respondent was measured on the basis of total yearly earning of the respondent and the member of his/her family. Extension media contact was measured on the basis of nature of contact with 10 selected information sources by taking four individual, three group and three mass contact media. Agricultural experience was measured in the no. of years the respondent involved in agricultural farm practices. Cosmopoliteness of the respondents was measured by the nature of visit made by the respondent to ten selected places. Knowledge on IPM was measured by asking 18 questions selected from the different aspect of IPM practices. Two (2) score was assigned for correct answer of each question. Partial score was given for partially correct answer. For measuring constraints faced in IPM practices in rice cultivation by the farmers 12 constraints were selected through consultation with the experts, researchers and from other available sources. Respondents’ responses were categorized as high, medium, low, very low and no constraints at all and scores was assigned as 4, 3, 2, 1 and 0 respectively. Finally constraints faced by the farmers in IPM practices in rice cultivation score was calculated by adding up all the scores of all the responses of that respondent. For having a clear understanding of the comparative constraint faced by the farmers, Constraints Faced Index (CFI) for each item was computed by using the following formula: CFI = (Cn× 4) + (Cm× 3) + (Ce× 2) + (Cv× 1) + (Cn× 0) where, Ph=Percentage of respondents confronted high constraint in IPM practices, Cm=Percentage of respondents confronted medium constraint in IPM Practices, Cl=Percentage of respondents confronted low constraint in IPM practices, Cv=Percentage of respondents confronted very low constraint in IPM practices, Cn=Percentage of respondents confronted no constraint in IPM practices. Data from all the interview schedules were coded, complied, tabulated and analyzed in accordance with the objectives of the study. The analysis was performed using SPSS (Statistical Package for Social science) computer package and null hypotheses was formulated to test the relationship of independent variables with dependent variable as “there is no relationship between the constraints faced by the farmers in IPM practices in rice cultivation and each of the independent variables of the study”. Descriptive analysis such as range, numbers and percentage distribution, mean, standard deviation and rank order were used whenever necessary. Pearson’s product moment co-efficient of correlation (r) was used in order to explore the relationship between the concerned variables.

Source of Information: J. Sci. Technol. Environ. Inform. 04(01): 245-250| Aminet al. (2016)

Article Link (Online Journal): DOI: 10.18801/jstei.040116.27

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

As practicing IPM in rice fields is time demanding and very in need in the country, reducing the constraints faced by the farmers regarding this aspect should be given top most priority. The study revealed that the farmers of the study area faced varying degrees of constraints. From the rank order of the constraints it was concluded that the highest severe constraint was lack of technical knowledge in IPM practices followed by lack of technical support in IPM practices and unavailability of inputs of IPM practice.

Knowledge Management: Journal