The focus of the current study is to assess the impact of blue green algae (BGA) technology on farming practices and economic conditions of farming households. The states of Punjab, Uttar Pradesh and Haryana considered as major rice-growing states of India were chosen for the primary survey. It was observed that use of BGA resulted in 25.2% of urea reduction with an overall 3.8% increase in the yield and a marginal decrease in per acre cultivation cost. Tobit model has been used to identify the determinants of increasing cropping area under BGA. Factors such as age, education, operated land holdings and leased-in land have a positive and significant impact on area under BGA. The study also provided the comparative analysis on yield of paddy, urea consumption and income with and without BGA application. It was observed that farmers earned about 3% greater income along with 41.1% reduction in dosage of urea while reaping 1% higher yield of paddy.
Entrepreneurship is a way to identify and fulfill a need by creating value for the stakeholders. There is a wide literature available to understand various aspects of entrepreneurship. Through rigorous search of literature, it was found that generally agri-entrepreneurship aka agripreneurship is being related with farm and rural enterprises only rather agripreneurship denotes entrepreneurship in all the areas that are related with agriculture and are a part of the agri produce supply chain. Hence an effort was made to portray an agripreneur of India who belongs to all these areas. For this, a data of 468 respondents was collected, who responded about the problems of agriculture they wish to solve, their business solution, target market and other factors that display the features and thought process of an agripreneur. The data was majorly qualitative in nature. Thematic content analysis was done with the help of Content Analysis Tool (CAT) and investigator triangulation was done to ensure reliability of the analysis. This research will help policymakers to design suitable policies for target people who aspire to venture into agriculture.
Varietal development plays a crucial role in improving the overall yield of a crop and the impact assessment of a particular variety is essential to support this statement. Present study was carried out in North-Western Indo-Gangetic Plains (Punjab, Haryana and Western Uttar Pradesh) in India during 2017–18 to observe the response on the yield with the adoption of newly developed yellow rust resistant wheat variety HD 3086. The Structural Equation Model (SEM) was used to establish a relationship between the rate of adoption and factors affecting the same. Households (1000) were surveyed through random sampling for the study. Punjab was found to have the highest adoption rate amongst the 3 states followed by Haryana. This study has observed an increasing trend in coverage of farm area under HD 3086 in Punjab and Haryana. However, in Uttar Pradesh creating awareness among the seed companies and Krishi Vigyan Kendra (KVK) centres was found imperative for the multiplication of HD 3086.
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