Show simple item record

dc.contributor.authorKigen, Charles
dc.contributor.authorOchieno, Dennis
dc.contributor.authorMuoma, John
dc.contributor.authorShivoga, William
dc.contributor.authorKonje, Martha
dc.contributor.authorOnyando, Zedekiah
dc.contributor.authorSoi, Benard
dc.contributor.authorMakindi, Stanley
dc.contributor.authorKisoyan, Philip
dc.contributor.authorMironga, John
dc.date.accessioned2019-05-06T11:55:18Z
dc.date.available2019-05-06T11:55:18Z
dc.date.issued2014-01-10
dc.identifier.issn2067420678
dc.identifier.urihttps://www.elixirpublishers.com/articles/1389362253_66%20(2014)%2020674-20678.pdf
dc.identifier.urihttp://erepository.kibu.ac.ke/handle/123456789/850
dc.description.abstractSorghum (Sorghum bicolor) is an important African cereal crop and is listed among Africa’s lost crops but is now gaining popularity as other cereals are declining in production due to climatic change. To promote food security, many researchers and policy makers are shifting the focus on production of sorghum. In Kenya, sorghum is primarily grown in ASALs whose suitability is climatic factors but the extent is not known. This paper modeled the potential sorghum suitable areas of current and the years 2050 and 2080 climatic periods. The sorghum location data were downloaded from GENESYS and Kenya Agricultural Research Institute while climate data was from world climate database website. Analysis was done using Maxent and DIVA-GIS softwares. The model generated an excellent AUC of 0.97 and the suitable areas in the future are shown to expand in both 2050 and 2080 climatic periods though not in same magnitude. The main variables contributing more than 10 % of change in suitability areas in decreasing order are precipitation of wettest period, temperature seasonality (STD * 100), precipitation of warmest quarter, and precipitation of driest month. The generated information will guide the policy makers and stakeholders in making informed decisions with regard to the efforts of re-introduction and promotion of sorghum production in ASALs.en_US
dc.language.isoenen_US
dc.publisherElixirpublishers : Agricultureen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectSorghum bicoloren_US
dc.subjectClimate changeen_US
dc.subjectMaxenten_US
dc.subjectDIVA-GISen_US
dc.subjectSpatial modelingen_US
dc.subjectASALsen_US
dc.titleSpatial modeling of sorghum (sorghum bicolor) growing areasin Kenyan arid and semi-arid landsen_US
dc.typeArticleen_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States