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Factors Affecting Adoption of BRRI Released Aus Rice Varieties in Mymensingh District

Md. Shajedur Rahaman
Agricultural Economics Division, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh

Md. Jahangir Kabir
Agricultural Economics Division, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh

Abstract/ Executive Summary:

This study was carried out to evaluate the performance of BRRI cultivars, identifying criteria and constraints as well as factors influencing the intensity of BRRI cultivars adoption in Aus season on the farm households in Mymensingh district. The data were collected through structured questionnaires from a total of 390 randomly selected rice farmers from thirteen Upazila of Mymensingh district. The study employed descriptive statistics and Tobit censored regression to determine the adoption and yield status; and adoption intensity determinants. In addition to a total of thirteen FGDs and expert panel interview was conducted to verify the collected data. The results show that 82.04 percent of the area in Mymensingh district was cultivated with rice variety developed by Bangladesh Rice Research Institute (BRRI) with an average yield of 4.05 t/ha during the Aus season. The findings of the Tobit censored regression indicate that schooling, distance to the local market, training, price variation, taste and preference, amount of cultivated varieties, yield variability were the significant factors of the intensity of BRRI varieties adoption in Aus season. The study's results suggested that breeders should also emphasize the choice of farmers while developing varieties. In addition to developing new rice varieties, BRRI, Department of Agricultural Extension (DAE), Bangladesh Agricultural Corporation (BADC) and other seed producing organizations need to work together to provide the farmers with good quality seeds of BRRI varieties, which will increase the total production of the country, thus helping to ensure food safety.

Keywords: Adoption Intensity, Aus Season, BRRI Varieties, Tobit Censored Regression, Criteria and Constraints, Rice, Bangladesh

Location: 13 Upazilas of Mymensingh district

Start Date: 00-04-2018

End Date: 00-07-2018

Program Area: Socio-economic and Policy

Non-commodity: Adoption of technology

Objectives:

An in-depth study was undertaken to examine the adoption and yield status of Aus rice varieties, as well as criteria, constraints, and factors influencing the adoption of BRRI developed Aus rice cultivars.

Methodology:

Study Area and Sample Size The study was conducted at 13 Upazilas of Mymensingh district. All of the Upazilas were selected purposively and thereafter, two Unions from each Upazila were selected randomly for this survey. The survey was conducted from April to July 2018. A total of 390 farmers were randomly selected to identify factors affecting the BRRI developed Aus rice cultivars' adoption decision. Farm-level data were collected with key informants and household surveys through a Farmers' Group Discussion (FGD). Besides, a total of thirteen FGDs were performed to produce in-depth data on the adaptation dynamics of rice varieties at Aus season. An expert panel interview consisting of Sub-Assistant Agriculture Officer (SAAO) and Upazila Agriculture Officer (UAO) was held in order to verify the data gathered via the discussion group of farmers. Using a pre-tested standardized questionnaire, selected farmers were questioned. The data were analyzed using both descriptive and inferential statistics. Descriptive statistics used primarily to analyze the frequency, percentage, mean, and median of the farmers' socioeconomic attributes in the study area. The Tobit model was used to identify the factors behind the adoption of BRRI technology and to analyze the probability of farmers adopting technology and the intensity of adoption. 2.2. Econometric Model The Logit and Probit models are the two popular models used by different research to determine the impact of variables affecting the probability of a given technology being implemented. Adoption experiments focused on dichotomous regression models, however, have sought to clarify only the probability of adoption versus non-adoption rather than adoption rate and intensity. For certain problems such as fertilizer, therefore, a purely dichotomous variable is always not adequate to examine the extent and intensity of the adoption. Meanwhile, Splett, et al established what became known as the Tobit or censored regression model for circumstances where dependent variable values greater than 0 are observed but are not observed (censored) at zero or lower values. The Tobit model is also a broad class of models with discrete as well as continuous parts. It is an extension of the Probit model and is one approach to tackling the censored data problem. 2.4. Definition of Variables In this study, the dependent variable is the adoption and intensity of the BRRI rice varieties being adopted. The explanatory variables were taken those variables which are thought to influence the adoption and intensity of BRRI rice varieties.

Source of Information: International Journal of Agricultural Economics2020; 5(5): 210-217. ISSN: 2575-3851 (Print); ISSN: 2575-3843 (Online). http://www.sciencepublishinggroup.com/j/ijae

Article Link (Online Journal): doi: 10.11648/j.ijae.20200505.18

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

Adopting modern varieties for cultivation is important to meet the food demand of the growing population. The availability of quality seed and region-specific cultivars will also enhance the rice growers' adoption decisions. This study assessed the level of adoption and yield; criteria and constraint, as well as determinants of adoption and the intensity of adoption of BRRI, released Aus cultivars in Mymensingh district. The majority of farmers in Aus season cultivated BRRI cultivars due to shorter growth duration, availability of quality seed, higher market price, lodging resistance, good taste, and less infestation of pests. The largest portion is planted to BRRI dhan28, accompanied by BRRI dhan48, BRRI dhan26, and BR3. Though BRRI dhan48 yielded higher followed respectively by BRRIdhan28, BR14, and BR3. Alternatively, some of the BRRI Aus cultivars lose reputation among farmers because of lower yields and pest damage. This research also examined the factors that affect the adoption and intensity of adoption of Aus cultivars of BRRI. Tobit censored regression econometric model was implemented for the study and the empirical findings revealed that schooling, farm size, training, price variation, yield variation, taste and preference, and distance to the local market significantly and positively affected BRRI cultivars' decision to adopt, while age, household size and distance to UAO had no significant impact on the decision to adopt. The policy implication of this study is that breeders should also concentrate on non-yield traits such as taste, fine grain, and hold cooked rice for longer periods in their efforts to develop new Aus varieties since they are very important in explaining the high adoption BRRI varieties. Secondly, the availability of quality seeds of recently introduced BRRI cultivars should be ensured for farmers. Thus, this requires enormous cooperation between BRRI, DAE, BADC, and other seed producers to deliver the required quality seed to the farmers.

Knowledge Management: Journal