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Original Research Articles                      Volume : 9, Issue:5, May, 2020

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(5): 321-327
DOI: https://doi.org/10.20546/ijcmas.2020.905.035


Preliminary the Diagnosis and Recommendation Integrated System (DRIS) Norms for Evaluating the Nutritional Status of Mango
Jyoti Devi1*, Deepji Bhat1, V. K. Wali1, Vikas Sharma2, Arti Sharma1, Gurdev Chandand Tuhina Dey4
1Division of Fruit Science
2Division of Soil Science
3Division of Plant Physiology

 4Division of Plant Breeding and Genetics, Sher-e- Kashmir University of Agricultural Sciences and Technology of Jammu,  Chatha  J&K, India
*Corresponding author
Abstract:

Diagnosis and recommendation integrated system (DRIS) norms were computed from the data on leaf mineral composition, soil available nutrients, and corresponding mean fruit yield of three years (2016–2019), collected from the set of 50 irrigated commercial ‘Dashehari’ mango orchards, representing 2 locations and 3 basalt derived soil orders (Entisols, Inceptisols, and Vertisols) rich in smectite minerals. The DRIS norms derived primarily index leaves sampled during month of March-April (6–8 months old) suggested optimum leaf macronutrient concentration (%) as: 1.10–2.25 nitrogen (N), 0.09–0.25 phosphorus (P), 0.19–0.45 potassium (K), 1.80–2.45 calcium (Ca), and 0.42–1.01 magnesium (Mg). While, optimum level of micronutrients (ppm) was determined as: 10.60–28.50 zinc (Zn), 101.20–310.50 iron (Fe), 10.50–24.70 copper (Cu), and 69.90–193.90 manganese (Mn) in relation to fruit yield of 30.50–84.69 kg tree−1. The data were divided into high-yielding (>50 kg/tree) and low-yielding (<50 kg/tree) subpopulations and norms were computed using standard DRIS procedures and a preliminary DRIS norms for mango growing in the Akhnoor and Samba district are selected. These norms were developed with data from only one region, so data from future surveys and field trials may subsequently be used to enlarge the database allowing the refinement of model parameters.  The results elucidate that the DRIS model for mango, developed in this study, is a diagnostic tool that may be used to predict if insufficiencies or imbalances in N, P, K Ca, Mg, Zn, Fe, Cu and Mn supplies are occurring in mango production.


Keywords: Mango, DRIS norms, Yield, Nutrient contents, Leaf diagnosis

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How to cite this article:

Jyoti Devi, Deepji Bhat, V. K. Wali, Vikas Sharma, Arti Sharma, Gurdev Chand and Tuhina Dey. 2020. Preliminary the Diagnosis and Recommendation Integrated System (DRIS) Norms for Evaluating the Nutritional Status of Mango.Int.J.Curr.Microbiol.App.Sci. 9(5): 321-327. doi: https://doi.org/10.20546/ijcmas.2020.905.035
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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