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Assessment of Management Options on Striga Infestation and Maize Grain Yield in Kenya

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...

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Autores principales: Kanampiu, Fred, Makumbi, Dan, Mageto, Edna, Omanya, Gospel, Waruingi, Sammy, Musyoka, Peter, Ransom, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Weed Science Society of America 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797635/
https://www.ncbi.nlm.nih.gov/pubmed/33583963
http://dx.doi.org/10.1017/wsc.2018.4
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author Kanampiu, Fred
Makumbi, Dan
Mageto, Edna
Omanya, Gospel
Waruingi, Sammy
Musyoka, Peter
Ransom, Joel
author_facet Kanampiu, Fred
Makumbi, Dan
Mageto, Edna
Omanya, Gospel
Waruingi, Sammy
Musyoka, Peter
Ransom, Joel
author_sort Kanampiu, Fred
collection PubMed
description 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.
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spelling pubmed-77976352021-02-12 Assessment of Management Options on Striga Infestation and Maize Grain Yield in Kenya Kanampiu, Fred Makumbi, Dan Mageto, Edna Omanya, Gospel Waruingi, Sammy Musyoka, Peter Ransom, Joel Weed Sci Article 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. Weed Science Society of America 2018-07-01 2018 /pmc/articles/PMC7797635/ /pubmed/33583963 http://dx.doi.org/10.1017/wsc.2018.4 Text en © Weed Science Society of America, 2018 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence, which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Kanampiu, Fred
Makumbi, Dan
Mageto, Edna
Omanya, Gospel
Waruingi, Sammy
Musyoka, Peter
Ransom, Joel
Assessment of Management Options on Striga Infestation and Maize Grain Yield in Kenya
title Assessment of Management Options on Striga Infestation and Maize Grain Yield in Kenya
title_full Assessment of Management Options on Striga Infestation and Maize Grain Yield in Kenya
title_fullStr Assessment of Management Options on Striga Infestation and Maize Grain Yield in Kenya
title_full_unstemmed Assessment of Management Options on Striga Infestation and Maize Grain Yield in Kenya
title_short Assessment of Management Options on Striga Infestation and Maize Grain Yield in Kenya
title_sort assessment of management options on striga infestation and maize grain yield in kenya
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797635/
https://www.ncbi.nlm.nih.gov/pubmed/33583963
http://dx.doi.org/10.1017/wsc.2018.4
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