ECOLOGICAL NICHE MODELING FOR CHEMICAL PROSPECTING OF FOREST SPECIES: A CASE STUDY IN Nothapodytes nimmoniana (Graham) Mabb.
| dc.contributor.advisor | Ganeshaiah, K. N. | |
| dc.contributor.author | RAGHAVENDRA., H. P. | |
| dc.date.accessioned | 2017-06-30T05:00:34Z | |
| dc.date.available | 2017-06-30T05:00:34Z | |
| dc.date.issued | 2010-01-12 | |
| dc.description.abstract | Ecological Niche Modeling (ENM) has become powerful tool in predicting the geographic distribution of a given species. Being modelling process, it maps the similar habitat conditions corresponding to the habitat type of the places of known occurrence of the species and stratifies the area from most suitable to least suitable habitat for the species occurrences. However, in this study an attempt has been made to test the potentiality of ENM in prospecting for the populations that yield high level of seconday metabolites in particular, CPT. The underlying assumption of ENM here is, the plants in most suitable area are expected to show higher fitness , higher regeneration status, and hence the traits that confirms the fitness would be expected to be high in most suitable area compared to least suitable area. There are hardly any attempts made to this important assumption, however, in this study we provide evidence towards this assumption in specific metabolite, CPT. Therefore we proposed to use ENM to predict the habitat suitability for Nothapodytes nimmoniana (Graham), which produce an anticancer drug, Comptothecin (CPT). Firstly we developed niche map for N. nimmoniana using DIVA- GIS and Maxent. However in this study to validate the ENM assumption, density, regeneration, girth of trees, fluctuating leaf asymmetry, and specific leaf weight were considered as fitness measures. Result indicated that, mean % CPT content is significantly higher in predicted most suitable habitat compared to least suitable habitat wherein population showed higher regeneration status and higher fitness. Therefore, we concluding that, production of CPT in N. nimmoniana could be purely a spin-off of growth and reproduction. Thus, results from this study validated the assumption of ENM accordingly suggested that, ENM could be potentially used to predict the niches of high fitness and area with high level of secondary metabolites. | en_US |
| dc.identifier.other | Th-9874 | |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/5810023779 | |
| dc.language.iso | en | en_US |
| dc.pages | 109 | en_US |
| dc.publisher | University of Agricultural Sciences, Bangalore | en_US |
| dc.rating.count | 5 | en |
| dc.sub | Environmental Science | en_US |
| dc.subject | null | en_US |
| dc.theme | ECOLOGICAL NICHE MODELING FOR CHEMICAL PROSPECTING OF FOREST SPECIES | en_US |
| dc.these.type | M.Sc | en_US |
| dc.title | ECOLOGICAL NICHE MODELING FOR CHEMICAL PROSPECTING OF FOREST SPECIES: A CASE STUDY IN Nothapodytes nimmoniana (Graham) Mabb. | en_US |
| dc.type | Thesis | en_US |