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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): 75-84
DOI: https://doi.org/10.20546/ijcmas.2020.910.011


Modeling and Monitoring Walnut (Juglans regia) Area & Production Based on Parametric and Non-Parametric Regression Models
Nageena Nazir*, S. A. Mir and B. S. Dhekale
Division of Agricultural Statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology-Kashmir, India
*Corresponding author
Abstract:

Walnut (Juglans regia L.) occupies an important position in the horticulture industry of Jammu and Kashmir. It has the monopoly of producing excellent quality of walnuts contributing more than 90 per cent of Indian walnut production. The temperate climatic conditions favor its cultivation and offer Jammu and Kashmir an exceptional edge to super pass the other states in terms of walnuts. Being organic in nature (which is its USP), as no fertilizers or sprays are used on walnut plants and its yield, and high in nutrients with immense health benefits, Kashmiri walnut has seen growing demand and acceptability in the domestic and international market. The present study is an attempt to find past trends of walnut in Jammu and Kashmir using parametric, non parametric and semi-parametric regression methods. The performance of each method is compared using high value of R and low value of residual criteria. It is found that non parametric/semi parametric regression comes out to be a good fit for trend in walnut production in comparison to parametric regression. Even semi parametric spline is selected as the best fit model for trend analysis. It is inferred that the area under walnut cultivation in J&K is increasing from 1998-2017 and the productivity has also shown an increasing trend except for some years where the trend is found declining.


Keywords: Walnut (Juglans regia), Vitamin E and A
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How to cite this article:

Nageena Nazir, S. A. Mir and Dhekale, B. S. 2020. Modeling and Monitoring Walnut (Juglans Regia) Area and Production Based on Parametric and Non-Parametric Regression Models.Int.J.Curr.Microbiol.App.Sci. 9(10): 75-84. doi: https://doi.org/10.20546/ijcmas.2020.910.011