National Academy of Agricultural Sciences (NAAS)
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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 |
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.
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