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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(10): 3231-3240
DOI: https://doi.org/10.20546/ijcmas.2020.910.386


Predicting Yield from Differential Agro-ecosystems: The Agripreneurships in Dynamism and Possibilities
Debraj Roy*, Arindam Ghosh, S. K. Achaya, Swagata Ghoshal, Debashis Mazumder and Amitava Biswas
Department of Agricultutal Extension, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal, India
*Corresponding author
Abstract:

The study was conducted on Rice and Poultry entrepreneurs in Memari-1 block, Purba Barddhaman district of West Bengal, India. This has been conducted to assess their socio-personal, agro-economical and techno-managerial skills. Several entrepreneurial aspects are considered in this study to portrait a well discernible picture of their entrepreneurship. The acquired data and other information was critically examined with several statistical tools like range, mean, standard deviation, variance, correlation coefficient, stepwise regression analysis, multiple regression analysis, factor analysis and cluster analysis. Total 18 variables were considered for the study in which 15 of them are independent variables and 3 of them dependent variables. Correlation coefficient is significant for the independent variables in case of one dependent variable i.e. yield (y1). After performing Stepwise Regression analysis several satisfactory conclusions were drawn for the study which well described the current neo agricultural scenario in rural Bengal. It has been revealed that the smaller is the size of the economic land the higher has been the yield. This is due to the higher concentration focus on the small piece of the land, high intensity monitoring, and auditing during the entire phase of production. Factor analysis was done to strategically conglomerate the variables into marker variables.


Keywords: Agro-economical, Challenges, Income, Poultry, Productivity, Rice, Socio-personal, Techno-managerial characters
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How to cite this article:

Debraj Roy, Arindam Ghosh, S. K. Achaya, Swagata Ghoshal, Debashis Mazumder and Amitava Biswas. 2020. Predicting Yield from Differential Agro-ecosystems: The Agripreneurships in Dynamism and Possibilities.Int.J.Curr.Microbiol.App.Sci. 9(10): 3231-3240. doi: https://doi.org/10.20546/ijcmas.2020.910.386