Economic analysis of balanced nutrient management technologies for maize production in Kaduna state, Nigeria

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cg.authorship.typesCGIAR and developing country institute
cg.contributor.affiliationAhmadu Bello University
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.countryNigeria
cg.coverage.iso3166-alpha2NG
cg.coverage.regionAfrica
cg.coverage.regionWestern Africa
cg.identifier.doihttps://doi.org/10.3923/jas.2007.132.136
cg.isijournalISI Journal
cg.issn1812-5654
cg.issue1
cg.journalJournal of Applied Sciences
cg.reviewStatusPeer Review
cg.subject.iitaNUTRITION
cg.subject.iitaFOOD SECURITY
cg.subject.iitaHANDLING, TRANSPORT, STORAGE AND PROTECTION OF AGRICULTURAL PRODUCTS
cg.subject.iitaIMPACT ASSESSMENT
cg.subject.iitaLIVELIHOODS
cg.subject.iitaSOIL FERTILITY
cg.subject.iitaMARKETS
cg.subject.iitaBASELINE SURVEY
cg.subject.iitaAGRIBUSINESS
cg.subject.iitaPOST-HARVESTING TECHNOLOGY
cg.subject.iitaMAIZE
cg.subject.iitaDOMESTIC TRADE
cg.subject.iitaINTEGRATED SOIL FERTILITY MANAGEMENT
cg.volume7
dc.contributor.authorOmadachi, U.O.
dc.contributor.authorAhmed, B.
dc.contributor.authorManyong, Victor M.
dc.contributor.authorOlukosi, J.
dc.contributor.authorYusuf, O.
dc.date.accessioned2018-04-24T08:40:14Zen
dc.date.available2018-04-24T08:40:14Zen
dc.identifier.urihttps://hdl.handle.net/10568/92208
dc.titleEconomic analysis of balanced nutrient management technologies for maize production in Kaduna state, Nigeriaen
dcterms.abstractThe overall goal of Balanced Nutrient Management Systems (BNMS) a collaborative project between International Institute of Tropical Agriculture (IITA) and Katholieke Universiteit Leuven (K.U. Leuven) is to curb the vicious cycle of plant nutrient depletion in maize-based farming systems in the moist savanna and humid forest zone of West Africa. This is through integrated nutrient management systems geared to land use practices which are economically viable, ecologically sound and socially acceptable. In Kaduna state of Nigeria (Northern Guinea Savannah), three improved maize-based technologies were tested in a series of farmer-managed field trials since 2000. The first technology was a continuous maize treatment characterized by high fertilizer rates (Sasakawa Global 2000 (SG 2000)). In the second technology, half of the fertilizer quantity was replaced with organic manure (BNMS-manure). The third technology was a soybean-maize rotation treatment in which the fertilizer rates to the maize was reduced by a half (BNMS-soybeanmaize). The broad objective of the study was to conduct economic analysis of the three introduced BNMS maize-based technologies along with the farmers’ own practice of maize production. The specific objectives of the study were to: determine the costs and returns to the BNMS technologies and farmers’ practice and to examine the farmers’ perception of the BNMS technologies. The tools used for the analysis of the data were: partial budget analysis to determine the costs and returns to the introduced BNMS technologies and farmers’ practice and the scoring technique to examine the farmers’ perception of the BNMS technologies. Findings from the partial budget analysis showed that, BNMS-soybeanmaize was the best in both the demonstration and adaptation trials by having the highest gross margins of 18,462 and 19,785, respectively, with the inorganic fertilizer cost constituting over 50% of the total production cost. The farmers gave overall best perception to both the BNM-soybeanmaize and the BNMS-manure technologies.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationOmadachi, U.O., Ahmed, B., Manyong, V., Olukosi, J. & Yusuf, O. (2007). Economic analysis of balanced nutrient management technologies for maize production in Kaduna state, Nigeria. Journal of Applied Sciences, 7(1), 132-136.en
dcterms.extentp. 132-136
dcterms.issued2006-12-15
dcterms.languageen
dcterms.publisherScience Alert
dcterms.subjectbalanced nutrient management systemsen
dcterms.subjectfertilizersen
dcterms.subjecttechnologyen
dcterms.subjectmaizeen
dcterms.subjecteconomic analysisen
dcterms.typeJournal Article

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