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dc.contributorTamene, Lulsegeden_US
dc.contributorMassawe, P.en_US
dc.contributorMateete, Bekundaen_US
dc.creatorKihara, Job Magutaen_US
dc.date.accessioned2017-01-10T17:05:42Z
dc.date.available2017-01-10T17:05:42Z
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/24OLHeYF/v/61218dfee36faf465c1d32b149a426f4en_US
dc.identifier.citationJob Maguta Kihara, Lulseged Tamene, P. Massawe, Bekunda Mateete. (31/5/2015). Agronomic survey to assess crop yield, controlling factors and management implications: a casestudy of Babati in northern Tanzania. Nutrient Cycling in Agroecosystems, 102, pp. 5-16.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5459
dc.description.abstractImproved agronomic management is important to reduce yield gaps and enhance food security in subSaharan Africa. This study was undertaken to understand contributing factors to observed yield gaps for maize in farmer fields and to demonstrate appropriate agronomic survey methods. The study aimed to (1) demonstrate an approach for farmlevel agronomic survey, (2) identify key crop production constraints and (3) define the nutrient input and output balances of different fields. Agronomic survey was conducted in 117 farmer fields randomly distributed in a 10 km by 10 km block in Babati, northern Tanzania. A semistructured questionnaire and production measurements were used to collect data which were analyzed with regression classification and mixed effect models. The exploitable maize yield gap at farmlevel reaches up to 7.4 t ha , and only <5 % of fields achieve maize grain yield of 5 t ha . Slope, plant density, distance from homestead, crop variety, timing of planting and period since conversion significantly influenced maize yields. For example, fields on flat land had up to 1.6 t ha more maize grain yield than those on steep slopes while fields with plant density >24,000 plants ha had 900 kg ha more yield than those with less density. At least 52 % of the fields had negative nutrient balances. We conclude that cropping systems used in Babati should be preferentially supplemented with mineral fertilizers while optimizing plant density, increasing manure application and appropriate varietal choice in order to reduce the yield gapsen_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;102,(2015) Pagination 5,16en_US
dc.subjectagronomic surveyen_US
dc.subjectnutrient balancesen_US
dc.subjectregression treeen_US
dc.titleAgronomic survey to assess crop yield, controlling factors and management implications: a casestudy of Babati in northern Tanzaniaen_US
dc.typeJournal Articleen_US
dcterms.available2015-05-31en_US
dcterms.extent5-16en_US
cg.creator.idKihara, Job Maguta: 0000-0002-4394-9553en_US
cg.creator.idTamene, Lulseged: 0000-0002-3806-8890en_US
cg.creator.idMateete, Bekunda: 0000-0001-7297-9383en_US
cg.subject.agrovocagricultureen_US
cg.subject.agrovocyield gapen_US
cg.subject.agrovocplant densityen_US
cg.contributor.centerInternational Center for Tropical Agriculture - CIATen_US
cg.contributor.centerSelian Agricultural Research Institute - SARI Tanzaniaen_US
cg.contributor.centerInternational Institute of Tropical Agriculture - IITAen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
cg.date.embargo-end-date2016-12-31en_US
cg.coverage.regionEastern Africaen_US
cg.coverage.countryTZen_US
cg.identifier.doihttps://dx.doi.org/10.1007/s10705-014-9648-3en_US
cg.isijournalISI journalen_US
dc.identifier.statusLimited accessen_US
mel.impact-factor1.416en_US
cg.issn1385-1314en_US
cg.journalNutrient Cycling in Agroecosystemsen_US
cg.volume102en_US


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