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外文期刊>Pakistan journal of botany
>ROLE OF MOMORDICA CHARANTIA L. AS HERBAL MEDICINE TO CURE HYPERGLYCEMIA IN VITRO ON INDUCED DIABETIC MODEL ANIMALS WAHEEDA MUSHTAQ1*, M TARIQ2, M. ISHTIAQ1*, R. ASGHAR2, TANVEER HUSSAIN1 AND TANVEER BASHIR
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ROLE OF MOMORDICA CHARANTIA L. AS HERBAL MEDICINE TO CURE HYPERGLYCEMIA IN VITRO ON INDUCED DIABETIC MODEL ANIMALS WAHEEDA MUSHTAQ1*, M TARIQ2, M. ISHTIAQ1*, R. ASGHAR2, TANVEER HUSSAIN1 AND TANVEER BASHIR
Dieback disease is a potential threat to Dalbergia sissoo (Shisham) which is a multipurpose tree of the Indiansubcontinent. Different factors have been found associated with inciting shisham dieback. Fungal pathogens have beenrecognized as the major causal organism but changing climate is a main threat to forest dieback. Sexually (seedlings) andasexually (cuttings) propagated shisham were inoculated with the different fungi (Fusarium solani, Botryodiplodiatheobromae, Curvularia lunata and Ganoderma lucidum). As environmental factors play critical role in the development ofthe disease, so the present study was designed to observe the impact of rainfall, temperature, relative humidity and windvelocity on the disease and for the management of disease predictive model was developed. A significant negativecorrelation was observed between disease and relative humidity both for seedlings (r = - 0.97) and cuttings (r = -0.487),respectively while maximum temperature expressed significant positive correlation with seedlings and cuttings withcoefficient of correlation r = 0.734 and r = 0.629, respectively. Path analysis expressed that with one unit increase in rainfallthe disease would rise by 7.58 and 15.04 and for maximum temperature it was 2.47 and 5.27 units in seedlings and cuttings,respectively. Multiple regression analysis showed that coefficient of determination (R2) value was 0.62 and 0.48 for cuttingsand seedlings, respectively. Normed fit index (NFI) and comparative fit index (CFI) values indicate that model is quite agood fit. Similarly comparison of observed and predicted data also validated the model for forecasting the disease.
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