Author
Listed:
- Miafuntila Kirongozi
- Mouritala Sikirou
- Bakelana Zeyimo
- Fidèle Tiendrébéogo
- Angela O. Eni
- Justin S. Pita
- Ngombo Nzokwani
- Kalonji Mbuyi
Abstract
Cassava (Manihot esculenta Crantz) is a key staple in the Democratic Republic of Congo (DRC), yet the diversity of farmer-maintained cultivars remains insufficiently documented, particularly in the southwest. This study assessed the morphological diversity and population structure of cassava cultivars collected from farmers’ fields in this region. A survey was conducted in 112 fields across Kinshasa, Kongo Central, and Mai-Ndombe, where 220 cultivars were recorded. Characterization relied on nine qualitative descriptors from standard cassava lists, complemented by altitude and whitefly abundance. Multiple Correspondence Analysis (MCA) was used to explore phenotypic variability, followed by Hierarchical Ascending Classification (HAC) to group cultivars based on similarity. Discriminant Factor Analysis (DFA) evaluated the robustness of the classification. The first five MCA dimensions explained 42.9% of total variation. Leaf pigmentation, petiole colour, plant age, and cassava mosaic disease severity were the main discriminating traits. HAC identified seven phenotypic groups of unequal size, indicating substantial diversity within the population. DFA showed high classification accuracy (94.1%), confirmed by Leave-One-Out cross-validation (92.3%). Overall, the results reveal significant phenotypic variability in cassava cultivated in southwestern DRC and emphasize its importance for breeding programs aimed at enhancing disease resistance, productivity, and adaptation to local environmental conditions. These findings provide a valuable baseline for conservation and genetic improvement efforts and highlight the need for integrating farmer knowledge with formal breeding strategies. Future research should incorporate molecular markers to better resolve genetic relationships and support the development of resilient, high-yielding cultivars adapted to diverse agroecological conditions in practice.
Suggested Citation
Miafuntila Kirongozi & Mouritala Sikirou & Bakelana Zeyimo & Fidèle Tiendrébéogo & Angela O. Eni & Justin S. Pita & Ngombo Nzokwani & Kalonji Mbuyi, 2026.
"Genetic and Phenotypic Diversity of Cassava Cultivars in Southwestern Democratic Republic of Congo,"
Journal of Agricultural Science, Canadian Center of Science and Education, vol. 18(6), pages 1-54, May.
Handle:
RePEc:ibn:jasjnl:v:18:y:2026:i:6:p:54
Download full text from publisher
More about this item
JEL classification:
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
- Z0 - Other Special Topics - - General
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:jasjnl:v:18:y:2026:i:6:p:54. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.