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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 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
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 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(4): 267-276
DOI: https://doi.org/10.20546/ijcmas.2018.704.030


Utilization of Parametric and Nonparametric Regression Models for Production, Productivity and Area Trends of Apple (Malus domestica) in Jammu and Kashmir, India
Yasmeena Ismail*, S.A. Mir and Nageena Nazir
Division of agricultural statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology-Kashmir, India
*Corresponding author
Abstract:

Apple (Malus Domestica) is one of the most important horticultural produce and illustrious worldwide for its health benefits. One of the major apple producing zones in the north India is Jammu and Kashmir and major portion of the state is economically dependent on this horticultural industry. The present study is an attempt to find past trends of apple in Jammu and Kashmir using parametric, nonparametric and semi-parametric regression methods. The performance of each method is compared using higher values of R2 and lower values of residual criteria. It is found that the nonparametric/semi-parametric regression comes out to be good fit for trends in apple production in comparison to the parametric regression. Even semi-parametric spline regression is selected as the best fitted model for trend analysis. It is inferred that the area under apple cultivation in Jammu and Kashmir is increasing from 1974-2015 and the productivity has also shown an increasing trend except for some years where the trend is found declining. The study advocates for researchers technological breakthrough in apple production in Jammu and Kashmir.


Keywords: Apple production, Trend analysis, Parametric regression, Nonparametric regression
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How to cite this article:

Yasmeena Ismail, S.A. Mir and Nageena Nazir, S.A. 2018. Utilization of Parametric and Nonparametric Regression Models for Production, Productivity and Area Trends of Apple (Malus domestica) in Jammu and Kashmir, India.Int.J.Curr.Microbiol.App.Sci. 7(4): 267-276. doi: https://doi.org/10.20546/ijcmas.2018.704.030