International Soil and Water Conservation Research (Sep 2023)

Potential of roots and shoots of Napier grass for arresting soil erosion and runoff of mollisols soils of Himalayas

  • Sushma Tamta,
  • Akhilesh Kumar,
  • Daniel Prakash Kushwaha

Journal volume & issue
Vol. 11, no. 3
pp. 538 – 548

Abstract

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In this study, a soil filled Hydraulic Tilting Flume (HTF) was used as a test plot under simulated rainfall conditions. This flume was filled with mollisols soils (sandy loam in texture) collected from tarai region of Himalayas. The effects of root and shoot characteristics of Napier grass in terms of leaf area index (LAI), shoot length (SL), number of leaves (NL), number of tillers (NT), shoot biomass (SB), root density (RD), root length (RL), root biomass (RB), and total biomass (TB) were investigated on runoff and sediment outflow at 90, 120 and 150 days after planting (DAP). Four simulated rainfall intensities namely 4.0, 6.5, 8.3 and 9.4 cm/h over three land slopes of 1, 2 and 3% were selected. Runoff samples collected from whole plant plot and only root plot were analyzed for runoff and sediment outflow. Findings revealed that Napier grasses were very effective to reduce runoff and sediment outflow and its efficacy increased with the extended growth stages. The reduction in runoff and sediment outflow at 90, 120 and 150 DAP was obtained as 56% and 85%, 68% and 90%, and 74% and 96%, respectively, as compared to bare plot conditions. It was observed that the comparative contribution of shoots in runoff rate reduction was higher than the roots. On the contrary, the root part of the plant showed more contribution in sediment rate reduction as compared to the shoot part. Step wise regression was attempted for the selection of effective input parameters to establish authentic runoff and sediment outflow models. Power form of multiple non-linear regression (MNLR) showed very satisfactory results for predicting runoff and sediment outflow with coefficient of determination (R2) as 97.4% and 99.0%, respectively, root mean square error (RMSE) as 38.8 cc/m2/min and 0.126 g/m2/min, respectively, and coefficient of efficiency (CE) as 93.9% and 96.7%, respectively, during testing period.

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