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Vol. 7 Issue 1 June 2016
Case report
Soil properties in high density mango orcharding- a basis for orchard sustainability
Tarun Adak*, V.K Singh, Kailash Kumar and Vinod Kumar Singh
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Case Report


GERF Bulletin of Biosciences

June 2016, 7(1):10-16

Published Online: 30 June 2016



Soil properties in high density mango orcharding- a basis for orchard sustainability


Tarun Adak*, V.K Singh, Kailash Kumar and Vinod Kumar Singh


1, 2, 3, 4Division of Crop production, Central Institute for Subtropical Horticulture, Rehmankhera,      Lucknow – 226101, Uttar Pradesh, India


*Corresponding author:




High density orchard plantation is a viable option for sustaining orchard productivity. Precision farming approaches are needed for maintaining the soil health in such a system. The present study was conducted in the density plantation system of mango cv Dashehari maintained since 1992 under subtropical climatic condition with six different spacing of 2.5 × 2.5, 2.5 × 5.0, 5.0 × 5.0, 5.0 × 7.5, 7.5 × 7.5 m and 10.0 ×10.0 m with 1600, 800, 400, 267, 177 and 100 plants per hectare respectively. The average yield at 18th year was recorded as 15.5 t ha-1. Changes in soil properties, estimation of organic carbon and micronutrients stock under long-term orchard management system were quantified. A range of 4.15 ± 0.26 to 8.27 ± 0.12 Mg ha-1 SOC stock was estimated across different density systems with 6.28 ± 0.36 Mg ha-1 in recommended medium density system. Fifty per cent of the total soil samples were estimated to have SOC stock in the range of 6.1 to 9.0 Mg ha-1 followed by 33 per cent in 5.1 to 6.0 Mg ha-1. Lowest (17%) was observed in 1 to 5 Mg ha-1 range. Majority of the Zn stock lies in the range of 1.1 to 2.0 kg ha-1 category while 21 to 30 kg ha-1 Cu stock had lowest percentage. A 21 to 40 kg ha-1 had highest percentage of Fe stock across different mango density system and Mn stock of 31to 40 kg ha-1.


Key Words: High density system, precision farming, soil properties, stock estimation, mango


 © Adak et al., 2016; licensee Green Earth Research Foundation. This article distributed under terms of Creative Commons Attribution License ( Which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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