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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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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 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(11): 890-899
DOI: https://doi.org/10.20546/ijcmas.2017.611.104


Identifying the Factors Affecting Coordination among Different Agencies with ATMA in Andhra Pradesh, India
N.Hema Sarat Chandra1*, K.S. Kadian2 and Rajiv Baliram Kale3
1Agricultural Extension, Dr.YSRHU, C.O.H. Anantharajupeta, Kadapa,Andhra Pradesh, 516105, India
2Dairy Extension Division, NDRI-Karnal, Haryana, India
3Z.P.D, Zone VI, CAZRI Campus, Jodhpur, Rajasthan, India
*Corresponding author
Abstract:

The pluralistic extension service requires a central coordinating agency for its success. In India ATMA working at grass root level through bottom up approach and trying to coordinate different extension, research organizations with farming community. Information from several sources is extended, funds are effectively utilised and duplication of work is avoided for the agricultural development through ATMA. The complete procedure to measure the coordination of ATMA and the factors governing the coordination is described in this paper. The five categories of coordination as data analysed using cumulative square root frequency method (CSRF method). According to the data obtained and analysed, most of the respondents (29.85075%) represents there is a high coordination followed by medium (25.37313%) coordination and Low coordination (16.41791%). However, few respondents were represented for Very high coordination (13.43284%) as well as for Very low coordination (14.92537%) of ATMA with different agencies at the level. Form pilot cum phase one of ATMA is showing a better coordination. Factor analysis used to identify seven factors effecting coordination viz. Roles and Responsibility of agencies, organizing ability of the ATMA, Combine plan and implementation, Degree of interest of agencies, Individuals’ degree of contribution, Mutual trust in problem solving and Participation and efficiency of fund sharing among agencies. It helps extension functionaries to give emphasis on identified factors for effective performance. Further, suggests the policy makers to plan ATMA like programs still effective way.


Keywords: Factor analysis, ATMA-KVK convergence, Coordination of ATMA.
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How to cite this article:

Hema Sarat Chandra, N., K.S. Kadian and Rajiv Baliram Kale. 2017. Identifying the Factors Affecting Coordination among Different Agencies with ATMA in Andhra Pradesh, India.Int.J.Curr.Microbiol.App.Sci. 6(11): 890-899. doi: https://doi.org/10.20546/ijcmas.2017.611.104