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http://krishi.icar.gov.in/jspui/handle/123456789/11492
Title: | Maximum Entropy (Maxent) Approach to Sorghum Landraces Distribution Modelling. |
Other Titles: | Not Available |
Authors: | Sivaraj, N., M. Elangovan, V. Kamala, S.R. Pandravada, P. Pranusha and S.K.., Chakrabarty |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Institute of Millets Research |
Published/ Complete Date: | 2015-10-27 |
Project Code: | Not Available |
Keywords: | DIVA-GIS, Maxent, Niche modelling, Sorghum |
Publisher: | Not Available |
Citation: | Sivaraj, N., M. Elangovan, V. Kamala, S.R. Pandravada, P. Pranusha and S.K.., Chakrabarty, 2016. Maximum Entropy (Maxent) Approach to Sorghum Landraces Distribution Modelling. Indian Journal of Plant genetic Resources, 29(1): 16-21. |
Series/Report no.: | Not Available; |
Abstract/Description: | Maximum entropy method (Maxent) for modelling of selected sorghum landraces (Errajonna, Kondajonna, Pachchajonna and Tellajonna) geographic distributions with presence-only data from Khammam district of Telangana state, India for future climate was attempted. Variability occurs among the models generated for specific landraces. Specific potential districts in Telangana state were identified for further cultivation and on-farm conservation of sorghum landraces in the light of climate change regime. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Indian Journal of Plant Genetic Resources |
NAAS Rating: | 5.54 |
Volume No.: | 29(1) |
Page Number: | 16-21 |
Name of the Division/Regional Station: | PGR Management |
Source, DOI or any other URL: | DOI 10.5958/0976-1926.2016.00004.8 |
URI: | http://krishi.icar.gov.in/Publication/handle/123456789/11492 |
Appears in Collections: | CS-IIMilletsR-Publication |
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