Inter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators
Research 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 an...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés Francés |
| Published: |
African Journals Online
2001
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/92702 |
| _version_ | 1855537253406736384 |
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| author | Ntawuruhunga, Pheneas Rubaihayo, P. Whyte, J. Dixon, A. Osiru, D. |
| author_browse | Dixon, A. Ntawuruhunga, Pheneas Osiru, D. Rubaihayo, P. Whyte, J. |
| author_facet | Ntawuruhunga, Pheneas Rubaihayo, P. Whyte, J. Dixon, A. Osiru, D. |
| author_sort | Ntawuruhunga, Pheneas |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Research 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. |
| format | Journal Article |
| id | CGSpace92702 |
| institution | CGIAR Consortium |
| language | Inglés Francés |
| publishDate | 2001 |
| publishDateRange | 2001 |
| publishDateSort | 2001 |
| publisher | African Journals Online |
| publisherStr | African Journals Online |
| record_format | dspace |
| spelling | CGSpace927022024-05-15T05:12:07Z Inter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators Ntawuruhunga, Pheneas Rubaihayo, P. Whyte, J. Dixon, A. Osiru, D. manihot esculenta multiple regression phenotypic correlation yield components régression multiple corrélation phénotypique composantes de rendement Research 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. Une 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. 2001 2018-05-17T09:03:11Z 2018-05-17T09:03:11Z Journal Article https://hdl.handle.net/10568/92702 en fr Open Access African Journals Online Ntawuruhunga, 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. |
| spellingShingle | manihot esculenta multiple regression phenotypic correlation yield components régression multiple corrélation phénotypique composantes de rendement Ntawuruhunga, Pheneas Rubaihayo, P. Whyte, J. Dixon, A. Osiru, D. Inter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators |
| title | Inter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators |
| title_full | Inter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators |
| title_fullStr | Inter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators |
| title_full_unstemmed | Inter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators |
| title_short | Inter-relationships among traits and path analysis for yield components of cassava: a search for storage root yield indicators |
| title_sort | inter relationships among traits and path analysis for yield components of cassava a search for storage root yield indicators |
| topic | manihot esculenta multiple regression phenotypic correlation yield components régression multiple corrélation phénotypique composantes de rendement |
| url | https://hdl.handle.net/10568/92702 |
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