Mapping of zones for modeling of perennial forages in mixed-crop livestock systems in Kenya

The data contains spatial data of precipitation, temperature, elevation, topographical wetness index (TWI), slope and soil texture used in the mapping of zones for modeling perennial forages in mixed-crop livestock systems in Kenya. The R-code used in the zonal mapping as well as the method used a d...

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Main Authors: Nyawira, Sylvia Sarah, Korir, Mercy Jebet, Maina, Wilson Nguru, Notenbaert, An Maria Omer
Format: Conjunto de datos
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10568/128416
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author Nyawira, Sylvia Sarah
Korir, Mercy Jebet
Maina, Wilson Nguru
Notenbaert, An Maria Omer
author_browse Korir, Mercy Jebet
Maina, Wilson Nguru
Notenbaert, An Maria Omer
Nyawira, Sylvia Sarah
author_facet Nyawira, Sylvia Sarah
Korir, Mercy Jebet
Maina, Wilson Nguru
Notenbaert, An Maria Omer
author_sort Nyawira, Sylvia Sarah
collection Repository of Agricultural Research Outputs (CGSpace)
description The data contains spatial data of precipitation, temperature, elevation, topographical wetness index (TWI), slope and soil texture used in the mapping of zones for modeling perennial forages in mixed-crop livestock systems in Kenya. The R-code used in the zonal mapping as well as the method used a description of the approach is also included. The identified zones will be applied for modeling with DSSAT CROPGRO perennial forage model.
format Conjunto de datos
id CGSpace128416
institution CGIAR Consortium
publishDate 2023
publishDateRange 2023
publishDateSort 2023
record_format dspace
spelling CGSpace1284162024-04-25T06:01:25Z Mapping of zones for modeling of perennial forages in mixed-crop livestock systems in Kenya Nyawira, Sylvia Sarah Korir, Mercy Jebet Maina, Wilson Nguru Notenbaert, An Maria Omer forage geographical information systems soil livestock systems kenya The data contains spatial data of precipitation, temperature, elevation, topographical wetness index (TWI), slope and soil texture used in the mapping of zones for modeling perennial forages in mixed-crop livestock systems in Kenya. The R-code used in the zonal mapping as well as the method used a description of the approach is also included. The identified zones will be applied for modeling with DSSAT CROPGRO perennial forage model. 2023-01 2023-02-02T14:22:30Z 2023-02-02T14:22:30Z Dataset https://hdl.handle.net/10568/128416 Open Access Nyawira, Sylvia Sarah; Korir, Mercy Jebet; Maina, Wilson Nguru; Notenbaert, An Maria Omer, 2023, "Mapping of zones for modeling of perennial forages in mixed-crop livestock systems in Kenya", https://doi.org/10.7910/DVN/JT9VQM, Harvard Dataverse, V1
spellingShingle forage
geographical information systems
soil
livestock systems
kenya
Nyawira, Sylvia Sarah
Korir, Mercy Jebet
Maina, Wilson Nguru
Notenbaert, An Maria Omer
Mapping of zones for modeling of perennial forages in mixed-crop livestock systems in Kenya
title Mapping of zones for modeling of perennial forages in mixed-crop livestock systems in Kenya
title_full Mapping of zones for modeling of perennial forages in mixed-crop livestock systems in Kenya
title_fullStr Mapping of zones for modeling of perennial forages in mixed-crop livestock systems in Kenya
title_full_unstemmed Mapping of zones for modeling of perennial forages in mixed-crop livestock systems in Kenya
title_short Mapping of zones for modeling of perennial forages in mixed-crop livestock systems in Kenya
title_sort mapping of zones for modeling of perennial forages in mixed crop livestock systems in kenya
topic forage
geographical information systems
soil
livestock systems
kenya
url https://hdl.handle.net/10568/128416
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AT mainawilsonnguru mappingofzonesformodelingofperennialforagesinmixedcroplivestocksystemsinkenya
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