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dc.contributorMponela, Powellen_US
dc.contributorKihara, Job Magutaen_US
dc.contributorNdengu, Giften_US
dc.creatorTamene, Lulsegeden_US
dc.date.accessioned2016-03-23T07:10:39Z
dc.date.available2016-03-23T07:10:39Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifierhttps://link.springer.com/article/10.1007/s10705-015-9692-7en_US
dc.identifier.citationLulseged Tamene, Powell Mponela, Job Maguta Kihara, Gift Ndengu. (31/7/2016). Assessment of maize yield gap and major determinant factors between smallholder farmers in the Dedza district of Malawi. Nutrient Cycling in Agroecosystems, 105 (3), pp. 291-308.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/4580
dc.description.abstractThis study explored the effect of soil nutrient status, agronomic practices and socio-economic factors on maize yield attained by smallholder farmers in the Dedza District of Malawi. Results show that maize yield ranged between 0.4 and 12 t ha-1 with a mean value of 4.1 t ha-1. Observed high yields ([8.0 t ha-1) were associated with households using improved varieties combined with improved management practices such as NPK, urea and animal manure. With regards to soil factors, boron (B) and nitrogen (N) which are critically deficient in the area were significantly (b = 21.1, p\0.01) associated with maize yield increase. From agronomic factors, weeds, seed spacing, plant density and fertilizer application played significant role in maize yield. Weed rating inversely impacted yield (b = -0.5; p\0.001) where fields with the lowest weed rating had the highest yield (4.6 t ha-1) than those with the highest rating (2.3 t ha-1). Socio-economic factors such as household wealth, household members with off-farm employment, number of years the household head has been involved in farming decision making, access to agricultural advice and group membership also influenced agronomic practices and resulted in yield gap. Household wealth and off-farm employment contributed to increased yield while household head experience in farming had negative impact. Extension service impacted yield negatively which can be attributed to the low extension worker to farmer ratio. The study demonstrated that closing yield gap in maize mixed farming systems requires integrated approach to addressing agronomic, biophysical and socio-economic constraints.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherSpringer Verlag (Germany)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceNutrient Cycling in Agroecosystems;105,(2015) Pagination 291,308en_US
dc.subjecthousehold typologyen_US
dc.subjectmaize yield gapen_US
dc.subjectfarmers’ management practicesen_US
dc.subjectdedza districten_US
dc.titleAssessment of maize yield gap and major determinant factors between smallholder farmers in the Dedza district of Malawien_US
dc.typeJournal Articleen_US
dcterms.available2015-05-05en_US
dcterms.extent291-308en_US
dcterms.issued2016-07-31en_US
cg.creator.idTamene, Lulseged: 0000-0002-3806-8890en_US
cg.creator.idMponela, Powell: 0000-0003-4269-0663en_US
cg.creator.idKihara, Job Maguta: 0000-0002-4394-9553en_US
cg.creator.idNdengu, Gift: 0000-0002-3445-6298en_US
cg.subject.agrovocagronomic practicesen_US
cg.subject.agrovocmalawien_US
cg.contributor.centerInternational Center for Tropical Agriculture - CIATen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.date.embargo-end-dateTimelessen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.countryMWen_US
cg.coverage.admin-unitLilongween_US
cg.contactLT.Desta@CGIAR.ORGen_US
cg.identifier.doihttps://dx.doi.org/10.1007/s10705-015-9692-7en_US
cg.isijournalISI journalen_US
dc.identifier.statusTimeless limited accessen_US
mel.impact-factor2.105en_US
cg.issn1385-1314en_US
cg.journalNutrient Cycling in Agroecosystemsen_US
cg.issue3en_US
cg.volume105en_US


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