Research Article | Published: 30 November 2021

Physico-chemical properties of soil under Grewia optiva in Himachal Pradesh, India

Hari Paul Sankhyan, Jyoti Dhiman, Krishan Chand, Prachi and Karishma

Indian Journal of Forestry | Volume: 44 | Issue: 1 | Page No. 5-11 | 2021
DOI: https://doi.org/10.54207/bsmps1000-2021-GG15TD | Cite this article

Abstract

Study on Physico chemical properties of soil is important for sustainable management of agricultural crops, field trees and for their economic growth. Here, we quantify the impact of soil nutrient variation on the population growth of Grewia optiva Drummond with variable climate and heterogeneous soils. The impacts on growth parameters (tree height, crown spread, leaf traits, fruit dimensions) of selected populations of Grewia optiva Drummond statistically analyzed using one way ANOVA and Pearson correlation coefficient. Five composite soil samples were taken at 15-30cm depth, on seven selected districts of Himachal Pradesh viz., total 35 samples were analyzed for physiochemical properties. Soil of Mandi district registered with acidic pH as compared to soil pH of other districts. There was significant difference in pH, OC, EC, N, P, K and in Bulk density within selected population of each district. pH range of moderately acidic to moderately alkaline (according to standard soil classification) founded best for growth of this species. There was highly positive correlation observed between Nitrogen and leaf area(0.33), Phosphorus and leaf area (0.45). 100 leaf fresh weight showed highly positive correlation with Nitrogen (0.37) and organic carbon (0.39).100 leaf dry weight showed highly positive correlation with Nitrogen and Organic Carbon. Crown spread showed highly positive correlation with Organic carbon (0.29), Nitrogen (0.38) and with Phosphorus (0.30). Moderately Positive correlation observed between Potassium and 100 fruit dry weight (0.15). 50% of soil texture observed as sandy loamy and sandy clay loamy.

Keywords

Fodder, Grewia optiva, Interaction, Nutrient variations, Plant population, Variability

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References

1. Adhikari, K., Guadagnini, A., Toth, G. and Hermann, T., 2009. Geostatistical analysis of surface soil texture from Zala County in western Hungary. International Symposium on Environment, Energy and Water in Nepal: Recent Researches and Direction for Future. pp.219-224

Google Scholar

2. Battie-Laclau, P., Laclau, J.P., Piccolo, M.D.C., Arenque, B.C., Mietton, L., Muniz, M.R., Jordan-Meille, L., Buckeridge, M.S., Nouvellon, Y., Ranger, J. and Bouillet, J.P., 2013. “Influence of potassium and sodium nutrition on leaf area components in Eucalyptus grandis Trees.” Plant and Soil., 371.pp.19–35.  https://doi.org/10.1007/s11104-013-1663-7

Google Scholar

3. Brandis, D., Stewart, J.L. and Fitch, W.H., 1972. Illustrations of the forest flora of North-West and Central India. Bishen Singh Mahendra Pal Singh

4. Brix, H. and Ebell, L.F., 1969. Effects of Nitrogen fertilization on Growth, leaf area, and photosynthesis rate in Douglas-Fir. Forest Sciences. 15, pp.189-196

Google Scholar

5. Herbert, D.A. and Fownes, J.H., 1995. Phosphorus limitation of forest leaf area and net primary production on a highly weathered soil. Biogeochemistry. 29, pp.223-235.  https://doi.org/10.1007/BF02186049

Google Scholar

6. Hooker, J.D., 1875.  Flora of the British India. Revve & Co., London

Google Scholar

7. Jackson, M.L., 1973. Soil Chemical Analysis. Prentice Hall of India (Pvt.) Ltd., New Delhi. 85, pp.251-252.

Google Scholar

8. Katoch, R., Singh, S.K., Tripathi, A. and Kumar, N., 2017. Effect of seasonal variation in biochemical composition of leaves of fodder trees prevalent in the mid-hill region of Himachal Pradesh. Range Management and Agroforestry. 38, pp.234-240

Google Scholar

9. Kazem, H., Tayebeh, M., Farani and Shahzad, Jamaati-e-Somarin. 2012. Effect of elemental sulphur and compost on pH, electrical conductivity and phosphorus availability of one clay soil. African Journal of Biotechnology. 11, pp.1425-1432.

Google Scholar

10. Meier, I.C. and Leuschner, C., 2008. Leaf Size and Leaf Area Index in Fagus sylvatica Forests: Competing Effects of Precipitation, Temperature, and Nitrogen Availability. Ecosystem. 11, pp.655–669.  https://doi.org/10.1007/s10021-008-9135-2

Google Scholar

11. Merwin, H.D. and Peech, M., 1951. Exchangeability of soil potassium in the sand, silt and clay fractions as influenced by the nature of the complementary exchangeable cation. Soil Science Society of America Journal. 15, pp.125-128.  https://doi.org/10.2136/sssaj1951.036159950015000C0026x

Google Scholar

12. Micheni, A., Kihanda, F. and Irungu, J., 2004. Soil organic matter (SOM): the basis for improved crop production in arid and semi-arid climate of eastern Kenya. In Managing Nutrient cycles to Sustain Soil Fertility in Sub-Saharan Africa; Bationo, A., Ed.; Academy Science Publisher: Nairobi, Kenya, pp.608

13. Miller, C. and Turk, L.M., 2002. Fundamentals of soil science Biotech. Books, 1123/74, Trinagar, Delhi, India pp.157

14. Mukherjee, A., Modal, T., Bist, J.K. and Pattanayak, A., 2018. Farmer’s preference of fodder trees in mid hills of Uttarakhand: A comprehensive ranking using analytical hierarchy process. Range Management and Agroforestry. 39, pp.115-120

Google Scholar

15. NRSC-USDA., 1999. Soil Taxonomy - A Basic System of Soil Classification for Making and Interpreting Soil Surveys. Agriculture Handbook. No.436

Google Scholar

16. Olsen, S.R., Cole, C.V., Watanable, F.S. and Dean, L.A., 1954. Estimation of available phosphorus in soil by extraction with NaHCO­3, USDA Circular, US Washington. 939, pp.19

Google Scholar

17. Pan, G., Lu, H., Li, L., Zhang, J. and Zhang, X., 2015. Soil Carbon Sequestration with Bioactivity: A New Emerging Frontier for Sustainable Soil Management. Advances in Earth Science. 30, pp. 940–951

Google Scholar

18. Sahoo, B., Garg, A.K., Mohanta, R.K., Bhar, R., Thirumurgan, P., Sharma, A.K. and Pandey, A.B., 2016. Nutritional value and tannin profile of forest foliages in temperate sub-Himalayas. Range Management and Agroforestry. 37, pp.228-232

Google Scholar

19. Sankhyan, H.P., Thakur, S., Kumar S., Krishma, Prachi and Chand, K. 2020. Morphological characteristics among different populations for screening of beul trees (Grewia optiva Drummond). International Journal of Chemical Studies, 8, pp.1845-1848.  https://doi.org/10.22271/chemi.2020.v8.i4s.9896

20. Sankhyan, H.P. and Bhagta, S., 2016. Fodder quality analysis of open pollinated seedling seed orchard of Grewia optiva Drummond. The Bio Scan., 11, pp.709-713

Google Scholar

21. Singh, B., Makkar, P.S. and Negi, S.S., 1989. Rate and extent of digestion and potentially digestible dry matter and cell wall of various tree leaves. Journal of Dairy Science, 72, pp.3233-3239.  https://doi.org/10.3168/jds.S0022-0302(89)79482-0

Google Scholar

22. Smith, J.L. and Doran, J.W., 1996. Measurement and use of pH and electrical conductivity for soil quality analysis. Methods for assessing soil quality, pp.169-185.  https://doi.org/10.2136/sssaspecpub49.c10

Google Scholar

23. Sonneveld, C., and De Kreij, C., 1996. Response of cucumber (Cucumis sativus L.) to an unequal distribution of salts in the root environment. Plant and Soil., 209, pp.45-56

Google Scholar

24. Subbaiah, B.V. and Asija, G.L., 1956. A rapid procedure for the estimation of available nitrogen in soil. Current Science, 25, pp.258-260

Google Scholar

25. Sumithra, S., Ankalaiah, C., Rao, D. and Yamuna, R.T., 2013. A case study on physico-chemical characteristics of soil around industrial and agricultural area of Yerraguntla, Kadapa district, AP, India. International Journal of Geology, Earth and Environmental Sciences. 3, pp.28-34

Google Scholar

26. Thakre, Y.G., Choudhary, M.D. and Raut, R.D., 2012. Physicochemical characterization of red and black soils of Wardha Region. International Journal of Chemical and Physical Sciences, 1, pp.60-66

Google Scholar

27. Valente, D.S.M., Queiroz, D.M., Pinto, F.C., Santos, Nerilson, T.S. and Santos, F.L., 2012. Definition of Management Zones in Coffee Production Fields Based on Apparent Soil Electrical Conductivity. Scientia Agricola. 69, pp.173-179.  https://doi.org/10.1590/S0103-90162012000300001

Google Scholar

28. Walkley, A.J. and Black, I.A., 1934. An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Science, 37, pp. 29-38 https://doi.org/10.1097/00010694-193401000-00003

Google Scholar

29. Wang, D., Mathew, W.M., Jindong, S., Xiaohui, F., Fernando, M., Dokyoung, L. and Michael C., 2012. Impact of nitrogen allocation on growth and photosynthesis of Miscanthus (Miscanthus X giganteus) GCB Bioenergy. 4, pp.688–697. https://doi.org/10.1111/j.1757-1707.2012.01167.x

Google Scholar

30. Yosuf, M., Li, J., Lu, J., Ren, T., Cong, R., Fahad, S. and Li, X., 2017. Effects of fertilization on crop production and nutrient-supplying capacity under rice-oilseed rape rotation system. Scientific reports 7, pp.1-9.  https://doi.org/10.1038/s41598-017-01412-0

Google Scholar

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How to cite

Sankhyan, H.P., Dhiman, J., Chand, K., Prachi and Karishma, 2021. Physico-chemical properties of soil under Grewia optiva in Himachal Pradesh, India. Indian Journal of Forestry, 44(1), pp.5-11. https://doi.org/10.54207/bsmps1000-2021-GG15TD

Publication History

Manuscript Received on 23 August 2021

Manuscript Revised on 27 September 2021

Manuscript Accepted on 18 October 2021

Manuscript Published on 30 November 2021

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