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Growth analysis and carbon economy of Olea europaea L. raised at foothills of central Kumaon Himalaya

Author Affiliations

  • 1Department of Functional Plant Biology, Kumaon University, Almora, Uttrakhand, India

Res. J. Agriculture & Forestry Sci., Volume 8, Issue (2), Pages 15-20, April,8 (2020)


In the present investigation, growth performance of Olea europaea L. was evaluated under natural conditions of day and night. Relative growth rate and other functional traits were evaluated in order to gain a more comprehensive knowledge about the morphological and physiological adjustments made by olive tree in response to a given set of natural environmental conditions at foothills of central Kumaon Himalaya. The experimental plot was set in an experimental farm at Halduchaur, Haldwani. Growth analysis was performed for 2 years (24 months) and data was recorded bimonthly (i.e. 12 readings) under natural conditions. Low values of RGR, NAR, SLA, LAR and LMF were depicted while RMF was high. Linear regression revealed that NAR contributed to strong and positive correlation with RGR but SLA and LMF were never functionally correlated. Interestingly NAR had a positive correlation with SLA. Evergreen leaves (low SLA, thick leaves) has high construction cost per unit leaf area in an unproductive environment and a low NAR. Further analysis also revealed that low SLA species could be an adaptive feature in dry and evergreen habitats. Temporal variation in RGR was mainly due to NAR. Biomass allocation analysis revealed much of the biomass was invested into roots (RMF) during the study period. The dissection of underlying functional components revealed that NAR can be considered as the best indicator in determining RGR in O. europaea L. under natural conditions.


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