Ecological niche modelling for mapping Deenanath grass (Pennisetum pedicellatum) distribution in India
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Ecological niche modelling or predictive habitat distribution modelling framework for deenanath (Pennisetum pedicellatum) grass was analyzed using maximum entropy (MaxEnt) method. Presence points (geographical coordinates) were collected using a global positioning system during an exploration for the collection of forage germplasm in Karnataka. MaxEnt software was used for habitat modelling. The climate models generated for the present and future climates indicated that climate suitable regions are available in parts of Andhra Pradesh (Cuddapah, Kurnool, Prakasam, West Godavari), Chhattisgarh (Bastar), Goa (South Goa), Gujarat (Valsad), Karnataka (Belgaum, Chikmagalur, Dakshin Kannad, Dharwad, Hassan, Mandya, Mysore, Shimoga, Tumkur, Uttar Kannad), Maharashtra (Ahmadnagar, Kolhapur, Nashik, Pune, Raigarh, Ratnagiri, Sangli, Satara, Thane), Odisha (Ganjam) and Telangana (Khammam). Highest probability value of 0.79 to 1.00 was obtained for the above mentioned states in India for climate suitability. These states of India could be targeted for future exploration missions, selection of cultivation sites of elite germplasm based on climate suitability and for identifying in-situ conservation areas, and for managing other related genetic resources activities in the climate change regime. Accordingly, a contingent plan needs to be developed for sustainable cultivation and on-farm conservation of deenanath grass.
Conservation, Cultivation, Deenanath grass, DIVA-GIS, MaxEnt.