Spatial analyses of occurrence data of crop wild relatives (CWR) taxa as tools for selection of sites for conservation of priority CWR in Zambia

Crop wild relatives (CWR) are valuable gene pools for crop improvement and offer unique potential and opportunity for enhancing food security and adaptation to climate change. However, current actions towards conservation of plant genetic resources in Zambia do not adequately cover CWR occurring in...

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Autores principales: Ng'uni, D., Munkombwe, G., Mwila, G., Gaisberger, H., Brehm, J., Maxted, N., Kell, S., Thormann, I.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Cambridge University Press 2019
Materias:
Acceso en línea:https://hdl.handle.net/10568/103960
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author Ng'uni, D.
Munkombwe, G.
Mwila, G.
Gaisberger, H.
Brehm, J.
Maxted, N.
Kell, S.
Thormann, I.
author_browse Brehm, J.
Gaisberger, H.
Kell, S.
Maxted, N.
Munkombwe, G.
Mwila, G.
Ng'uni, D.
Thormann, I.
author_facet Ng'uni, D.
Munkombwe, G.
Mwila, G.
Gaisberger, H.
Brehm, J.
Maxted, N.
Kell, S.
Thormann, I.
author_sort Ng'uni, D.
collection Repository of Agricultural Research Outputs (CGSpace)
description Crop wild relatives (CWR) are valuable gene pools for crop improvement and offer unique potential and opportunity for enhancing food security and adaptation to climate change. However, current actions towards conservation of plant genetic resources in Zambia do not adequately cover CWR occurring in the country. The article describes the process leading to the development of a national strategic action plan (NSAP) for the conservation and sustainable use of priority CWR in Zambia. Based on 59 prioritized crops, a partial checklist of 459 CWR taxa was generated from the national flora checklist of 6305 taxa. The generated CWR taxa were prioritized based on the socio-economic value of the related crop, their utilization potential in crop improvement, relative distribution and threat status to produce 30 prioritized CWR taxa. Occurrence data were compiled for all CWR inventory taxa and used in spatial analyses to establish species distribution, species richness, gaps inin situconservation and genebank collections, and to identify priority sites forin situconservation andex situcollecting. Consistent with the national developmental agenda, along with the contribution of national stakeholders, spatial analyses of occurrence data of priority CWR taxa are valuable input for the development of the NSAP for the conservation and sustainable use of the priority CWR.
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spelling CGSpace1039602025-02-19T13:41:57Z Spatial analyses of occurrence data of crop wild relatives (CWR) taxa as tools for selection of sites for conservation of priority CWR in Zambia Ng'uni, D. Munkombwe, G. Mwila, G. Gaisberger, H. Brehm, J. Maxted, N. Kell, S. Thormann, I. crops wild plants germplasm conservation national planning prioritization genetics Crop wild relatives (CWR) are valuable gene pools for crop improvement and offer unique potential and opportunity for enhancing food security and adaptation to climate change. However, current actions towards conservation of plant genetic resources in Zambia do not adequately cover CWR occurring in the country. The article describes the process leading to the development of a national strategic action plan (NSAP) for the conservation and sustainable use of priority CWR in Zambia. Based on 59 prioritized crops, a partial checklist of 459 CWR taxa was generated from the national flora checklist of 6305 taxa. The generated CWR taxa were prioritized based on the socio-economic value of the related crop, their utilization potential in crop improvement, relative distribution and threat status to produce 30 prioritized CWR taxa. Occurrence data were compiled for all CWR inventory taxa and used in spatial analyses to establish species distribution, species richness, gaps inin situconservation and genebank collections, and to identify priority sites forin situconservation andex situcollecting. Consistent with the national developmental agenda, along with the contribution of national stakeholders, spatial analyses of occurrence data of priority CWR taxa are valuable input for the development of the NSAP for the conservation and sustainable use of the priority CWR. 2019-04 2019-10-04T12:01:54Z 2019-10-04T12:01:54Z Journal Article https://hdl.handle.net/10568/103960 en Limited Access Cambridge University Press Ng'uni, D.; Munkombwe, G.; Mwila, G.; Gaisberger, H.; Brehm, J.; Maxted, N.; Kell, S.; Thormann, I. (2019) Spatial analyses of occurrence data of crop wild relatives (CWR) taxa as tools for selection of sites for conservation of priority CWR in Zambia. Plant Genetic Resources: Characterization and Utilization 17(2) p. 103-114. ISSN: 1479-2621
spellingShingle crops
wild plants
germplasm conservation
national planning
prioritization
genetics
Ng'uni, D.
Munkombwe, G.
Mwila, G.
Gaisberger, H.
Brehm, J.
Maxted, N.
Kell, S.
Thormann, I.
Spatial analyses of occurrence data of crop wild relatives (CWR) taxa as tools for selection of sites for conservation of priority CWR in Zambia
title Spatial analyses of occurrence data of crop wild relatives (CWR) taxa as tools for selection of sites for conservation of priority CWR in Zambia
title_full Spatial analyses of occurrence data of crop wild relatives (CWR) taxa as tools for selection of sites for conservation of priority CWR in Zambia
title_fullStr Spatial analyses of occurrence data of crop wild relatives (CWR) taxa as tools for selection of sites for conservation of priority CWR in Zambia
title_full_unstemmed Spatial analyses of occurrence data of crop wild relatives (CWR) taxa as tools for selection of sites for conservation of priority CWR in Zambia
title_short Spatial analyses of occurrence data of crop wild relatives (CWR) taxa as tools for selection of sites for conservation of priority CWR in Zambia
title_sort spatial analyses of occurrence data of crop wild relatives cwr taxa as tools for selection of sites for conservation of priority cwr in zambia
topic crops
wild plants
germplasm conservation
national planning
prioritization
genetics
url https://hdl.handle.net/10568/103960
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