Browsing by Author "Yamini, T."

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    Adoption of Recommended Package of Practices of Chickpea Varieties (JG-11 and JAKI 9218) in Dharwad District of Karnataka, India
    (Ms. M. B. Mondal, 2023-11) Reddy, SL; Shree, DAN; Vineeth, H. T.; Yamini, T.
    Chickpea (Cicer arietinum L.) is mainly a rabi season crop of India grown in diverse agroclimatic conditions under various cropping systems and a major pulse crop in Karnataka state. JG-11 and JAKI-9218 are two prominent chickpea varieties cultivated by farmers in Dharwad district along with Annigeri-1 (local variety). The study throws light on profile characteristics and level of adoption of recommended package of practices of the above chickpea varieties. The study was conducted in Dharwad, Navalgund and Kundagol taluks of Dharwad district of Karnataka state during 2020-21 with a sample of 135 chickpea farmers. “Ex-post facto” research design was employed for the study. The data was elicited through personal interview method. Nearly half (48.89 %) of chickpea farmers belonged to low adoption category of recommended chickpea package of practices followed by medium (36.30 %) and high (14.81 %) categories. The probable reasons for low to medium adoption of recommended practices because majority of the farmers are not aware of the recommended package of practices and also farmers expressed disbelief towards the recommended package of practices because if they practice other methods, they have a fear of losing the yield.
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    Impact of Mission Kakatiya on Area under Tank Irrigation in Southern Telangana Zone, India
    (Ms. M. B. Mondal, 2023-11) Latha, KN; Chary, DS; Supriya, K; Sreekanth, PD; Yamini, T.
    Aim: The study was done with an aim to find out whether there is any shift in major crops in Southern Telangana Zone with respect to area, production and yield due to the restoration of tanks with the Mission Kakatiya program and to study the growth in tank irrigated area.Data Description: Time series data of 15 years from 2005-10 to 2015-20 which consists of area, production and yield of major crops (Paddy, Maize, Cotton and Groundnut) and area under tank irrigation in Southern Telangana Zone were utilized for the study and was collected from Statistical Year Books published by Directorate of Economics and Statistics.Methodology: Analysis was done with the help of analysis platforms like SPSS and Excel using statistical tools which include linear and compound growth rates.Results: Results revealed that there was a considerable and significant growth observed in area under tank irrigation (29.69%) in Southern Telangana Zone after Mission Kakatiya. With the increase in tank irrigated area, this zone showed a shift towards irrigated and commercial crops like Paddy, Cotton and Maize from the rainfed crops.Conclusion: During the period before Mission Kakatiya there was a negative growth observed in tank irrigated area whereas both the growth rates have turned to positive in the period after implementation of Mission Kakatiya. This study concluded that there is a positive impact on crop characteristics in this zone due to Mission Kakatiya program. As a whole Mission Kakatiya is one of the outstanding projects whose achievements are incomparable and is a blessing for the farmers of Telangana State.
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    Social network analysis approach to identify agricultural key communicators
    (Triveni Enterprises, 2024-12) Yamini, T.; Venkatesan, P.; Jyothi, V.; Devy, M.R.; Rao, V.S.; Suseela, K.
    Aim: This paper employed Social Network Analysis approach to visualize and calculate different social network metrics. It identifies key communicators who play pivotal roles in information flow. Methodology: Research was conducted at Jammulapalem and Perali villages of Bapatla district, Andhra Pradesh, India, during 2022-23 using an exploratory research design. A total of 120 farmers Eigen vector were selected using simple random technique, and data was collected using a well-developed interview schedule. Network metrics such as Degree centrality, betweenness centrality, and eigen vector centrality were computed to evaluate the network structure using R software (version 4.3.1). R packages, namely igraph, statnet and network D3, were used for network creation, analysis and visualization to identify the influential nodes. Results: The study revealed a complex web of relationships among various stakeholders within the agricultural network through a network graph, identifying key communicators with the highest Degree centrality. Interpretation: The focal points identified through Social Network Analysis represent a specific demographic and socio-economic group, typically aged between 35 and 55, primarily medium-scale farmers,with landholdings spanning 10 to 25 acres and high annual income, with educational backgrounds ranging from high school to pre-university college, and wield significant influence within their local communities. They require sensitization, training, practical demonstrations, and personalized support to effectively disseminate agricultural information.