dc.contributor.author | Kanampiu, F. |
dc.contributor.author | Makumbi, Dan |
dc.contributor.author | Mageto, E. |
dc.contributor.author | Omanya, G. |
dc.contributor.author | Waruingi, S. |
dc.contributor.author | Musyoka, P. |
dc.contributor.author | Ransom, J. |
dc.date.accessioned | 2019-12-04T11:19:15Z |
dc.date.available | 2019-12-04T11:19:15Z |
dc.date.issued | 2018-04 |
dc.identifier.citation | Kanampiu, F., Makumbi, D., Mageto, E., Omanya, G., Waruingi, S., Musyoka, P. & Ransom, J. (2018). Assessment of management options on striga infestation and maize grain yield in Kenya. Weed Science, 1-9. |
dc.identifier.issn | 0043-1745 |
dc.identifier.uri | https://hdl.handle.net/20.500.12478/3429 |
dc.description | Published online: 04 April 2018 |
dc.description.abstract | The parasitic purple witchweed [Striga hermonthica (Del.) Benth.] is a serious constraint to maize production in sub-Saharan Africa, especially in poor soils. Various Striga spp. control measures have been developed, but these have not been assessed in an integrated system. This study was conducted to evaluate a set of promising technologies for S. hermonthica management in western Kenya. We evaluated three maize genotypes either intercropped with peanut (Arachis hypogaea L.), soybean [Glycine max (L.) Merr.], or silverleaf desmodium [Desmodium uncinatum (Jacq.) DC] or as a sole crop at two locations under artificial S. hermonthica infestation and at three locations under natural S. hermonthica infestation between 2011 and 2013. Combined ANOVA showed significant (P<0.05) cropping system and cropping system by environment interactions for most traits measured. Grain yield was highest for maize grown in soybean rotation (3,672 kg ha−1) under artificial infestation and in D. uncinatum and peanut cropping systems (3,203 kg ha−1 and 3,193 kg ha−1) under natural infestation. Grain yield was highest for the Striga spp.-resistant hybrid under both methods of infestation. A lower number of emerged S. hermonthica plants per square meter were recorded at 10 and 12 wk after planting on maize grown under D. uncinatum in the artificial S. hermonthica infestation. A combination of herbicide-resistant maize varieties intercropped with legumes was a more effective method for S. hermonthica control than individual-component technologies. Herbicide-resistant and Striga spp.-resistant maize integrated with legumes would help reduce the Striga spp. seedbank in the soil. Farmers should be encouraged to adopt an integrated approach to control Striga spp. for better maize yields. |
dc.description.sponsorship | Bill & Melinda Gates Foundation |
dc.format.extent | 1-9 |
dc.language.iso | en |
dc.subject | Cropping Systems |
dc.subject | Legumes |
dc.subject | Maize |
dc.subject | Varieities |
dc.subject | Peanuts |
dc.subject | Yield |
dc.subject | Striga Infestation |
dc.subject | Intercropping |
dc.subject | Soybeans |
dc.title | Assessment of management options on striga infestation and maize grain yield in Kenya |
dc.type | Journal Article |
dc.description.version | Peer Review |
cg.contributor.crp | Climate Change, Agriculture and Food Security |
cg.contributor.crp | Grain Legumes and Dryland Cereals |
cg.contributor.affiliation | International Institute of Tropical Agriculture |
cg.contributor.affiliation | International Maize and Wheat Improvement Center |
cg.contributor.affiliation | Iowa State University |
cg.contributor.affiliation | African Agricultural Technology Foundation |
cg.contributor.affiliation | DUDU East Africa Ltd, Kenya |
cg.contributor.affiliation | North Dakota State University |
cg.coverage.region | Africa |
cg.coverage.region | East Africa |
cg.coverage.country | Kenya |
cg.creator.identifier | Fred Kanampiu: 0000-0002-2480-6813 |
cg.isijournal | ISI Journal |
cg.authorship.types | CGIAR and developing country institute |
cg.iitasubject | Grain Legumes |
cg.iitasubject | Maize |
cg.iitasubject | Plant Diseases |
cg.iitasubject | Plant Production |
cg.iitasubject | Soybean |
cg.iitasubject | Weeds |
cg.journal | Weed Science |
cg.howpublished | Formally Published |
cg.accessibilitystatus | Open Access |
local.dspaceid | 95281 |
cg.targetaudience | Scientists |
cg.identifier.doi | http://dx.doi.org/10.1017/wsc.2018.4 |