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dc.contributor.authorKayeke, M.J.
dc.contributor.authorNhamo, N.
dc.contributor.authorChikoye, D.
dc.date.accessioned2019-12-04T11:15:35Z
dc.date.available2019-12-04T11:15:35Z
dc.date.issued2017
dc.identifier.citationKayeke, M.J., Nhamo, N. & Chikoye, D. (2017). Reducing risk of weed infestation and labor burden of weed management in cropping systems. In N. Nhamo, D. Chikoye and T. Gondwe, Smart technologies for sustainable smallholder agriculture, Amsterdam, The Netherlands: Elsevier, (p. 123-143).
dc.identifier.isbn978-0-12-810521-4
dc.identifier.urihttps://hdl.handle.net/20.500.12478/2995
dc.description.abstractWeeds are a major biological yield reducing factor in most cropping systems in Africa. The annual cost of weed control has been estimated to be $4.3 billion in Africa. This figure is expected to increase as a result of climate change effects on weed species and ecological conditions for a range of weeds. Similarly, the labor burden that weeding imposes on farm families is expected to increase. Although a range of weed management practices have evolved over the past five decades, farmers still face a mammoth task in meeting the demands of applying these technologies. Cultural, mechanical, chemical, and biological weed management technologies exist; however, their utilization by smallholder farmers still leaves large gaps in terms of efficiency, timeliness, and effectiveness. For instance, large amount of time is still employed in mechanical methods against the prevailing situation, where labor availability is limited during critical peak periods. Although tillage methods have developed parallel to other technologies their contribution to the weed seed bank dynamics and manipulation need to be reviewed in light of developing efficient weed control methods. The overall weed ecology in the region has changed character in response to management, rainfall, carbon dioxide, and temperature patterns in southern Africa suggesting the need to revisit the control methods in place and designing new ones to tackle future scenarios.
dc.format.extent123-143
dc.language.isoen
dc.publisherElsevier
dc.subjectWeed Control
dc.subjectWeed Management
dc.subjectFood Security
dc.subjectValue Chain
dc.subjectClimate Change
dc.subjectWeed Competition
dc.subjectSmallholders
dc.subjectCropping Systems
dc.titleReducing risk of weed infestation and labor burden of weed management in cropping systems
dc.typeBook Chapter
dc.description.versionPeer Review
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationMikocheni Agricultural Research Institute, Tanzania
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionSouthern Africa
cg.coverage.countryAngola
cg.coverage.countryMalawi
cg.coverage.countryMozambique
cg.coverage.countryZambia
cg.coverage.countryZimbabwe
cg.creator.identifierNhamo: 0000-0002-1182-6014
cg.creator.identifierDavid Chikoye: 0000-0002-6047-9821
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectSmallholder Farmers
cg.iitasubjectWeeds
cg.howpublishedFormally Published
cg.publicationplaceAmsterdam, The Netherlands
cg.accessibilitystatusLimited Access
local.dspaceid94415
cg.targetaudienceScientists
cg.identifier.doihttp://dx.doi.org/10.1016/b978-0-12-810521-4.00006-2


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