Adoption of Institute of Agricultural Research and Training (IAR&T) Small Ruminant Technologies by Farmers in South Western Nigeria (Published)
Institute of Agricultural Research and Training (IAR&T) is a multi-commodity research Institute that has generated adoptable technologies on small ruminant. The study investigated the adoption of IAR&T small ruminant technologies among farmers in South-Western Nigeria. A multi-stage sampling procedure was used to select 160 respondents for the study. Data were collected with interview schedule and analysed using descriptive (percentages and mean scores) and inferential (Chi-square and PPMC) statistics. Results revealed that majority of the respondents reared goats (86.9%), under semi-intensive management system (67.5%), for income generation (95.0%), and with 5.5±7.4 years of experience. Major modes of receiving small ruminant technologies/information were through Agbe asejere/IAR&T radio programme (x̅=0.82) and farmers’ guide (x̅=0.54). Use of pawpaw seeds for deworming (x̅=0.94), incorporation of crop residue in ration (x̅=0.94) and use of tobacco extract for treating parasites (x̅=0.87) were the most accessible small ruminant technologies to the respondents. Though constrained by high capital investment (x̅=1.50) and poor access to small ruminant technologies (x̅=1.21), the respondents’ rate of adopting small ruminant technologies was high (68.7%). Access to small ruminants technologies (r=0.518, p=0.000) and constraints (r=-0.305, p=0.01) were significantly related to adoption of IAR&T small ruminant technologies. The study concluded that readily accessible technologies were equally the most adopted ones. Therefore, it is recommended that IAR&T should endeavour to concentrate its efforts on making its technologies more accessible to end users.
Keywords: Adoption, livestock farmers and crop residue, small ruminant technologies
Paddy farmers’ knowledge, perception, and satisfaction on the use of farm machinery in Nepal (Published)
Agricultural mechanization refers to the use of different power sources as well as enhanced farm tools and equipment to decrease human and draught animal labor, improve cropping intensity, precision, and timeliness of crop input usage, and reduce losses at various phases of crop production. This research tried to assess paddy farmers’ knowledge, views, and contentment with the use of agricultural machinery in the districts of Jhapa, Kapilbastu, and Kailali using a multistage purposive sample technique. The survey research method was used for the investigation. Descriptive statistics and properly constructed scales were used to analyze the data. According to the findings, respondents had only a hazy understanding (0.50) of the critical roles of agricultural machinery in rice production. The total amount of machinery on hand is moderate (0.43). The most frequent piece of machinery possessed by respondents was a tractor (0.65), followed by a knapsack sprayer (0.61). Over one fourth of the respondents (0.28) had a good image of agricultural machinery and were satisfied with its use (0.4). While respondents indicated a high amount of restriction (0.7) when it came to utilizing agricultural machinery. As a result, adopting a varied range of farm machinery should be seen positively in order to increase the commercialization of paddy farming. Farmers would be more inclined to use farm machinery if farm machinery information and skills were spread, as well as supported with grants.
Keywords: Adoption, Agriculture, Knowledge, Perception, Satisfaction, farm machinery, paddy
Adoption of Improved Wheat Varieties by Wheat Producers in the Bale Zone of Ethiopia (Published)
Wheat is a strategic food security crop in the Ethiopia. Improving production and productivity of smallholder farmers through adoption of improved wheat varieties is one of the measures presumed to bridge the persistent food gap in the country. There are several socio-economic and institutional factors that constraint farmers from adoption of improved wheat varieties and empirically unidentified in the study area. The objective of this study was to analyze the factors influencing farmer’s decision in adoption of improved wheat varieties in the study area. A combination of quantitative and qualitative methods such as household survey, key informant interview and focused group discussion were utilized for this study. The probit model result showed that sex of household head, land holding size, livestock holding size, access to credit, access to market information, frequency of extension contacts, educational level of household head, membership in cooperatives and perception on yield capacity significantly influenced adoption decision of improved wheat varieties. Therefore, policy and development interventions should give emphasis towards the improvement of such economical and institutional support system so as to achieve wider adoption of improved wheat varieties, increased production and productivity of smallholder farmers.
Citation: Nasir Abda (2022) Adoption of Improved Wheat Varieties by Wheat Producers in the Bale Zone of Ethiopia, International Journal of Agricultural Extension and Rural Development Studies, Vol.9, No.2, pp.1-19
Keywords: Adoption, Binary probit model, improved wheat varieties
Socio-Demographic Characteristics and Major Problems Faced by the Farmers in Adopting Brri Dhan29 in the Coastal Areas of Bangladesh (Published)
The main purpose of this study was to determine the socio-demographic characteristics and major problems faced by the farmers in adopting BRRI dhan29 in the coastal areas of Bangladesh. The study was conducted with 90 farmers in three villages of Batiaghata union. The majority (50.00%) of the respondents were middle aged, 80.00% had primary level of education. The highest 46.67% had small farm size, 60.00% of medium income and 71.11% had poor training experience. The highest (80.00%) proportion of the respondents had medium innovativeness, 74.44% medium extension contact and 83.33% medium adoption of BRRI dhan29. Higher yield, availability of quality seed, and short duration variety was the 3rd, 4th, and 5th statement for the respondent’s perceived benefits of adopting BRRI dhan29 cultivation. Unable to tolerate salinity at matured time was the main important problem for the respondents and its Problem Confrontation Index (PCI) found 311.
Citation: Shamsun Nahar, and Md. Zulfiker Ali (2021) Socio-Demographic Characteristics and Major Problems Faced By the Farmers in Adopting Brri Dhan29 in the Coastal Areas Of Bangladesh, International Journal of Agricultural Extension and Rural Development Studies, Vol.8, No.4, pp.36-52
Keywords: Adoption, BRRI dhan29, Coastal area, Farmers, Problems, socio-demographic
The Relationship between Farmers’ Attitude towards the Improved Cassava Processing Technology and Adoption (Published)
This paper discusses the relationship between farmers’ attitude towards improved cassava processing technology and its adoption. About 360 participants [181 (50.3%) males and 178 (49.7%) females], strategically selected from Serengeti, Sengerema and Biharamulo districts in Mara, Mwanza and Kagera regions respectively in Tanzania responded questions on both attitude towards cassava processing technology and adoption of the same. Chi-square test indicated farmers’ difference in two components of adoption (involvement in pre-processing tasks and utilization of the cassava processed products) with two components (instrumental attitude and cognitive attitude) of attitude towards improved cassava processing technology. Further, direct logistic regression analysis indicated that attitude was not the only and sufficient variable uniquely explaining adoption of improved cassava processing technology despite having an influence on the same. Other variables such as attendance to training in improved cassava processing technology and intention to adopt the technology also uniquely explained adoption of improved cassava processing technology.
Keywords: Adoption, adoption of agriculture technologies, attitude, cognitive attitude, instrumental attitude
Social Factors Affecting Adoption of Zero-grazing Dairy Farming Technology among Smallholder Farmers in Bondo SubCounty, Kenya (Published)
Adoption of zero-grazing technology in Bondo Sub-County has remained low at 4-8 percent despite its introduction in the area in 1990s. No in-depth analysis has ever been conducted in Bondo Sub-County on the factors responsible for low adoption of this technology. Knowledge gaps exist on practices of successful zero-grazing dairy farming that if addressed may result to an increase in milk production. The purpose of this study was to analyze social factors influencing adoption and performance of zero-grazing dairy farming among smallholder farmers. A study was conducted on a sampled population of 279 from a target population of 4253 smallholder farmers. This consisted of adopters and non-adopters of the technology. Sampling techniques were used to select households. The results showed that age, gender and farm experience significantly influenced adoption of dairy farming technology. The study concluded that age, gender and farm experience influence adoption of technology in the area.
Keywords: Adoption, Dairy farming, bi-probit model., zero-grazing
Factors Influencing Radio Adoption Decision of Rice Farmers in the Dissemination of Agricultural Information in Zamfara State (Published)
This study examine the factors influencing radio adoption decision of rice farmers in the dissemination of agricultural information in Zamfara state. The research study applied agenda setting theory to show how selection of topics and packaging of agricultural content impact on rice farmer’s uptake of agricultural information. The research use a structured questionnaire to collect data for the study. A multi-stage, simple random and purposive sampling techniques were adopted to select a sample of 350 farm respondents. The data collected were analyzed using a descriptive statistics such frequency and percentage and logit regression analysis to estimate factors influencing radio adoption decision in knowledge sharing. The estimate shows that, age, farming experience, access to agricultural information via radio, association membership and gender are significant at 5%, 1% and 10% respectively. It is therefore recommended that, more radio stations should be develop and should also partner with agriculture institutions to overcome challenges that both side experience
Keywords: Adoption, Agriculture, Decision, Factors, Information, Radio, Rice Farmers, dissemination, influencing
Assessment of Technology Adoption in Maize Production by Small Scale Farmers: Case of Perkerra Irrigation Scheme, Baringo County, Kenya (Published)
Maize is one stable food grownall over Kenya including Perkerra Irrigation Scheme. However, over the years, its production has been on decline due to many challenges including; decrease in land as result of increase in population, loss of soil fertility, use outdated technologies which in return would sustain or increase production. Despite the availability of these technologies, small scale farmers in Perkerra irrigation scheme had not yet adopted them. The purpose of study was to determine the influence of the extension services, access and utilization of available information on modern techniques and social economic factors hindering the adoption. The study targeted 798 farmers from Loropil, Ng’oswe,Ng’ambo and Labos. Multi stage sampling was applied to draw a total of 100 participants. Data was collected by the use of questionnaires which applied both closed and open ended questions. Data was analyzed by the use of Multiple Linear Regression method so as to get the coefficients of the independent variables and the importance on the adoption of technology. Spearman’s method was also used to determine the correlation coefficient. The results showed that 53% and 43 % of the respondents were males and females respectively. 47% whose education level was 57% attained primary level. Social economic factors were significant in determining the level of technology adoption at 95% level of significance and it had a p-value of 0.03 and hence statistically important. Most farmers (58%) received extension services from the Kenya Seed Company. Radio and public assembly (Baraza) was the main source of information. Based on these findings, both the county and national government should employ more extension officers and ensure subsidization of the basic farm inputs like seeds and fertilizers.
Keywords: Adoption, Productivity, Technology
Assessment of Sources of Agricultural Information on Adoption of Maize Production Technologies in Ardo-Kola local Government Area, Taraba state, Nigeria (Published)
The study assessed the sources of agricultural information on adoption of maize production technologies in Ardo-Kola Local Government Area, Taraba State, Nigeria. Multi-stage sampling techniques were used to select respondents for the study. In the first stage, Agricultural Development Programme (ADP) block in the local government area is known as Iware block were considered for the study. Stage two, all the cell in the extension block were considered for the study. Stage three, it involve systematic sampling of twenty (20) respondents from each of the eight (8) cells were selected by taking respondents randomly. In all, a total of one hundred and sixty respondents as mummarized and 150 filled questionnaires were returned. Descriptive statistics and multiple regressions were used to analyse the information collected from the area. The result showed that many (67.33%) of the sampled farmers sourced their information from extension agents. The result of the socio-economic characteristics of maize framers revealed that 39.30% of the respondents falls within 36 – 50 years of age, most of them are on active and productive. Regression result shows that the coefficient of determination (R2) was 0.89, implying that (89%) of the variations in sources of Agricultural Information in the adoption of maize technologies were explained by the variables in the model. The result revealed that eight out of the twelve variables estimated positive and economic, economentive and statistically significant at 5 level. The study recommends that provision of information resources center in the rural area is of paramount important in order to facilitate easy access to agricultural information among farmers in the study area.
Keywords: Adoption, Technologies, extension
Analysis of factors influencing sustainable adoption of improved maize technologies among smallholder farmers in Ugenya Sub-County, Kenya (Published)
Most smallholder farmers who account for more than 70% of the maize produced in Kenya are perpetually food insecure and stuck below poverty level. Sustained maize yield increase largely depends on long term adoption of modern farming technology. However, despite the high yields associated with modern maize technology promotion during and shortly after implementation phase of many projects, sustainability of the technologies still remains a challenge for smallholder maize producers in Kenya. The objective of this study was to analyse factors that influence sustainable adoption of maize technologies beyond the promotion phase among smallholder farmers in Ugenya Sub-County. An ex post facto research was carried out where one hundred and eighty eight smallholder farmers were selected through simple random sampling from purposively selected study population in Ugenya Sub-County. The data was subjected to Independent 2-Sample T-Test and multiple regression analysis. Maize yields obtained by inputs subsidy beneficiaries and non beneficiaries during post-subsidy support phase were not statistically significant (p>0.05). Except for on-farm labour availability and farmer’s farming experience (p<0.05) all other socio-economic, technical, management and institutional factors known to influence farming technology adoption had no significant influence on average maize yield (p>0.05) in the study area. The study recommended that smallholder farmers should operate under a functional structure such as farmers’ association that will support timely access to key factors of production, optimize on benefits of the economies of scale, enforce sustainable practices and serve as a linkage to key enterprise value chain actors.
Keywords: Adoption, Smallholder, Sustainable, Technologies