Evaluation of agrometeorological indices as maize yield predictors in a high rainfall Kenyan environment

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dc.contributor.authorShisanya, C.A.
dc.contributor.authorCoulson, C. L.
dc.contributor.authorStigter, C. J.
dc.date.accessioned2014-05-21T11:26:15Z
dc.date.available2014-05-21T11:26:15Z
dc.date.issued1990
dc.description.abstractMaize is the most important food crop in Kenya and occupies more than 25% of the total land area in many high rainfall areas of the country. Investigations were carried out to test which agrometeorological crop yield forecasting models would come out with accurate predictions of maize yields. Two FAO methods developed by Frere and Popov (FAO 1986) and by Doorenbos and Kassam (1979) were used in predicting maize yields of variety H625 in Kakamega district. Results are discusseden_US
dc.identifier.citationEast African Agricultural and Forestry Journal volume 55 issue 3 123-130p.en_US
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/9561
dc.language.isoenen_US
dc.publisherEast African Agricultural and Forestry Journalen_US
dc.subjectClimatologyen_US
dc.subjectmaizeen_US
dc.subjectKenyaen_US
dc.subjectMeteorologyen_US
dc.subjectFloor husbandryen_US
dc.titleEvaluation of agrometeorological indices as maize yield predictors in a high rainfall Kenyan environmenten_US
dc.typeArticleen_US
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