{"type": "FeatureCollection", "features": [{"id": "10.1017/wsc.2018.4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:16:31Z", "type": "Journal Article", "created": "2018-04-04", "title": "Assessment Of Management Options On Striga Infestation And Maize Grain Yield In Kenya", "description": "Abstract<p>The parasitic purple witchweed [Striga hermonthica(Del.) Benth.] is a serious constraint to maize production in sub-Saharan Africa, especially in poor soils. VariousStrigaspp. 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 forS. hermonthicamanagement in western Kenya. We evaluated three maize genotypes either intercropped with peanut (Arachis hypogaeaL.), soybean [Glycine max(L.) Merr.], or silverleaf desmodium [Desmodium uncinatum(Jacq.) DC] or as a sole crop at two locations under artificialS. hermonthicainfestation and at three locations under naturalS. hermonthicainfestation between 2011 and 2013. Combined ANOVA showed significant (P&lt;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\uffe2\uff88\uff921) under artificial infestation and inD. uncinatumand peanut cropping systems (3,203 kg ha\uffe2\uff88\uff921and 3,193 kg ha\uffe2\uff88\uff921) under natural infestation. Grain yield was highest for theStrigaspp.-resistant hybrid under both methods of infestation. A lower number of emergedS. hermonthicaplants per square meter were recorded at 10 and 12 wk after planting on maize grown underD. uncinatumin the artificialS. hermonthicainfestation. A combination of herbicide-resistant maize varieties intercropped with legumes was a more effective method forS. hermonthicacontrol than individual-component technologies. Herbicide-resistant andStrigaspp.-resistant maize integrated with legumes would help reduce theStrigaspp. seedbank in the soil. Farmers should be encouraged to adopt an integrated approach to controlStrigaspp. for better maize yields.</p>", "keywords": ["0106 biological sciences", "striga infestation", "legumes", "Infestation", "Plant Science", "Striga", "maize", "01 natural sciences", "Article", "Agricultural and Biological Sciences", "Symbiotic Nitrogen Fixation in Legumes", "peanuts", "Biology", "Sowing", "Sorghum", "Taxonomy", "2. Zero hunger", "Crop Diversity", "Life Sciences", "cropping systems", "Biodiversity", "04 agricultural and veterinary sciences", "Strigolactone Signaling in Plant Interactions", "15. 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If prior access is requested, contact the data owner / author.", "updated": "2024-11-26", "type": "Dataset", "created": "2022-04-29", "language": "eng", "title": "Grain legume production data for soybean, lupins and faba bean, the effect of cultivars and irrigation and impacts on the following winter wheat (Part 2 of data collection, table V421_MANAGEMENT)", "description": "Key dates and agrotechnical practices for cultivation of winter wheat conducted in 2018-2023\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 2.0", "formats": [{"name": "CSV"}], "keywords": ["soybeans", "Lupinus", "broad beans", "chickpeas", "buckwheat", "irrigation", "yields", "protein content", "nitrogen content", "opendata", "Bodennutzung", "Germany", "M\u00e4rkisch Oderland", "Focus Area M\u00fcncheberg", "Site Research Station M\u00fcncheberg"], "contacts": [{"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2024-12-11", "type": "Dataset", "created": "2022-04-29", "language": "eng", "title": "Grain legume production data for soybean, lupins and faba bean, the effect of cultivars and irrigation and impacts on the following winter wheat", "description": "This data set reports measurements and observations from a grain legume cropping system experiment (2017-2022) investigating the effects of cultivars and irrigation on yield of soybean, lupins and faba bean (in the last two years additionally chickpea, dry bean, lentil and summer barley), and rotational effects on a subsequent winter wheat (2018-2023). The objective was to identify grain legume species and cultivars for designing novel cropping systems in north-eastern Germany. The data supports agronomic analyses, as well as dynamic simulation modelling and includes details on crop growth, soil characteristics and weather. In the first part of the experiment different species and cultivars and the effect of irrigation were compared in a split block design with four replicates and the factors species/cultivar and irrigation during five consecutive years (2017-2022). The treatments included eight to 18 species/cultivars depending on the year with soybean, narrow-leafed lupin, white lupin, yellow lupin, faba bean, chickpea, dry bean, lentil and summer barley. Buckwheat was cultivated as a reference crop. Soybean and lupin seeds were inoculated with HISTICK\u00ae soybean/lupin (BASF, Germany) and in the last year with LegumeFix. No fertilizers and conventional crop protection was applied. All lupin species were treated with a natural insecticide against the Sitona weevils. For technical reasons, treatment with this insecticide of field bean, soybean and buckwheat was also unavoidable in some years. Measurements included grain yield, one thousand seed weigh, macro nutrients (N, P, K) in the grain, and additional agronomic observations including number of plants and plant phenology. Irrigation water was applied with a sprinkler system using the Web-BEREST model (Mirschel et al., 2014) to determine the amounts and timing (data on the amounts and dates are provided). In the second part of the experiment, the pre-crop effect of the mentioned legumes and buckwheat was tested on the grain yield and nutrient content in the following winter wheat crop and on the nitrogen dynamics in the soil. Before winter (November/December) and in the subsequent spring (February/March), mineral nitrogen was measured in the soil at three depths (0-30 cm, 30-60 cm, and 60-90 cm) after the different pre-crops. Winter wheat was established following the different pre-crops with 4 replicates during six consecutive years (2018-2023) In the first three years (2018 -2020) with conventional fertilization and crop protection and in the remaining years (2021- 2023) with ecological management. 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