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Shailendra P. Banne,Arun W. Dhawale,Rajkumar B. Patil,Manjitsinh Girase,Chinmay Kulkarni,Mayuri Dake,Simran Khan 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.4
The landslides or slope failures are responsible for many fatalities and significant delays in travel by blocking the roads. The soil properties such as cohesiveness, angle of internal friction, and bulk unit weight are the primary parameters responsible for land stability and should be considered for the analysis. In this paper, a Xanthan Gum (XG) biopolymer is applied to the laterite soil to improve its engineering properties. The Plaxis Limit Equilibrium (LE) 2D software is utilized to analyze the slope's stability. Four section/ paths of the Lote Parshuram Ghat in the Ratnagiri area of Maharashtra, India are taken for the analysis. It is observed that the applicationof the XG to the soil which is exposed to atmosphere (normal condition) and submerged conditions improves the strength of the soil and stability of slopes. When compared to conventional laterite soil in its natural state, the cohesiveness of soil treated with XG at concentrations ranging from 1 to 5% is greatly improved, increasing from 250.51% to 378.64%. XG-treated laterite soil has a maximum dry density of 1.72 gm/cc, 28.36% higher than untreated soil. Submerged XG-treated soil often shows a factor of safety (FOS) improvement of across 57.25%. The slope stability analysis revealed that the optimum percentage of xanthan gum as a stabilizer for the submerged slope condition is 2.7% that increase the factor of safety. In case of normal condition, the factor of safety (FOS) and strength of the laterite soil increases with the reinforced percentage of xanthan gum.
Chandrakant Singh,Vijay Kumar,Indivar Prasad,Vishal R. Patil,Rajkumar B.K. 한국작물학회 2016 Journal of crop science and biotechnology Vol.19 No.1
Drought tolerance as such is often not considered to be an independent trait by plant breeders. The objective of this study was to evaluate eight drought tolerance indices, namely stress susceptibility index (SSI), yield stability index (YSI), yield reduction ratio (Yr), yield index (YI), tolerance index (TOL), mean productivity (MP), geometric mean productivity (GMP), and stress tolerance index (STI) in upland cotton (G. hirsutum L.) genotypes. For this purpose, 16 genotypes were sampled during the 2013-2014 growing seasons under both normal and drought-stress field conditions at the Main Cotton Research Station of Navsari Agricultural University, Surat, India. The drought tolerance indices were calculated based on seed cotton yield under drought stress and non-stress conditions. Mean comparison of drought tolerance indices and seed cotton yield validated the significant influences of drought stress on yield as well as significant differences among genotypes. Results of calculated correlation coefficients and multivariate analyses showed that GMP, MP and STI indices were able to discriminate drought-sensitive and tolerant genotypes. Cluster analysis using the drought-tolerance indices divided the 16 genotypes into tolerant and susceptible groups. Two genotypes, G.Cot.16 × H-1353/10 and H-1353/10 × G.Cot.16 gave good yield response under drought conditions leading to their stability during water stress conditions. Based on multivariate analyses using the indices individually or in combinations, it was possible to identify the most yield-stable genotypes across the environments. Overall, we concluded that GMP, MP and STI indices can be efficiently exploited not only for screening drought tolerance but also to identify superior genotypessuitable for both stress and non-stress field conditions.