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dc.contributor.authorNtawuruhunga, Pheneas
dc.contributor.authorRubaihayo, P.
dc.contributor.authorWhyte, J.
dc.contributor.authorDixon, A.
dc.contributor.authorOsiru, D.
dc.date.accessioned2019-12-04T11:21:22Z
dc.date.available2019-12-04T11:21:22Z
dc.date.issued2001
dc.identifier.citationNtawuruhunga, P., Rubaihayo, P., Whyte, J., Dixon, A. & Osiru, D. (2001). Inter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators. African Crop Science Journal, 9(4), 599-606.
dc.identifier.issn1021-9730
dc.identifier.urihttps://hdl.handle.net/20.500.12478/3757
dc.description.abstractResearch aimed at selecting varieties of cassava (Manihot esculenta Crantz) with potential for high storage root yields through identification of stable yield components that can be used as selection criteria was carried out at three locations of different altitudes in Uganda. Multiple regression and simple phenotypic correlation coefficients revealed that storage root number and storage root weight were important components in storage root yield across locations. The path analysis identified leaf area, storage root number, storage root girth and storage root weight as the main yield components with root number (0.53) and storage root weight (0.45) having the highest values of direct path coefficient. Probably due to environmental influence, only 43% of the total variation of the storage root yield relationship was explained by the path coefficient analysis.
dc.description.abstractUne recherche visant à sélectionner des variétés potentielles à haut rendement en tubercules du manioc (Manihot esculenta Crantz) par identification des composantes stables de rendement qui peuvent étre utilisées comme critères de selection a été conduite dans trois localités de differentes altitudes en Uganda. La régression multiple et les simples coéfficients de correlation phénotypique ont revélé que le nombre de tubercules et le poids moyen des tubercules étaient des principales composantes du rendements des tubercules à travers tous les sites. L'analyse des chemins a indiqué quatre caractères: la surface folière, le nombre des tubercules, le diamètre des tubercules et le poid moyen des tubercules comme composantes importantes avec le nombre des tubercules et le poids moyen des tubercules ayant 0.53 et 0.45 comme coefficient de chemin direct respectivement. Due probablement à une grande influence environnementale, seulement 43% de la variation totale du rendement des tubercules ont été expliqués par l'analyse des coefficients de chemin.
dc.description.sponsorshipRockefeller Foundation
dc.language.isoen
dc.language.isofr
dc.subjectManihot Esculenta
dc.subjectMultiple Regression
dc.subjectPhenotypic Correlation
dc.subjectYield Components
dc.subjectManihot Esculenta
dc.subjectRégression Multiple
dc.subjectCorrélation Phénotypique
dc.subjectComposantes De Rendement
dc.titleInter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationMakerere University
cg.coverage.regionAfrica
cg.coverage.regionEast Africa
cg.coverage.countryUganda
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectCassava
cg.iitasubjectHandling, Transport, Storage And Protection Of Agricultural Products
cg.iitasubjectClimate Change
cg.accessibilitystatusLimited Access
local.dspaceid95912
cg.identifier.doihttps://doi.org/10.4314/acsj.v9i4.27582


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