Abstract:
Cassava (Manihot esculenla Cranzt) is an important food security crop for resource poor rural
communities particularly in Africa. Little is however known about variability of critical root
nutritional, biochemical quality traits and molecular diversity of Kenyan cassava gennplasm.
This led to a study whose objective was to determine the nutritional quality traits of different
genotypes of cassava cultivated in the central Rift Valley region of Kenya and to identify
genetic constitution of cassava accessions from different regions of Kenya using molecular
tools. Roots from fourteen accessions comprising Kenyan local landraces and improved
clones were screened for their nutritional traits including the contents of cyanogenic
glycosides, protein and the micro nutrients iron and zinc While another 69 accessions were
tested for molecular diversity using Simple Sequence Repeats (SSRs). Trait stability and the
effects of the environment on the expression of the nutritional traits were evaluated using
various genotype (G) x environment (E) interaction study models. There were significant
(p<0.05) differences in all the nutritional traits in the three test sites of Baringo, Kericho and
Nakuru in Kenya. Contents of cyanogenic glucosides in both roots and leaves, total root
proteins, root iron and zinc ranged from 31.8 ppm to 90.8 ppm; 20.8 ppm to 154.4 ppm; 1.15
% to 3.47 %; 17.81 ppm to 59.69 ppm and 39.39 ppm to 118 ppm, respectively. The sites
were also significantly (p<0.05) different from each other with the highest cyanogenic content
in leaves and roots expressed at the Nakuru site. Regression coefficients (12,) obtained ranged
from -2.21 to 2.29 for all traits combined while sensitivity to environmental change (SE2)
revealed that cassava genotypes differed in their level of sensitivity. The root cyanide trait had
the highest mean SE3, which indicated that it was the least stable quality trait in the cassava
germplasm. The observed values for protein and mineral contents suggest the potential for
improving the nutritive value of local cassava germplasm. Seven pairs of micro satellite
(SSR) primers previously developed from cassava were used to detect polymorphic 21 alleles
in a sample of 69 accessions. The cluster analysis of similarity matrix obtained at 68 % with
SSR data showed that the 69 accessions were grouped into five marker based groups. This
study proved that SSRs could be used to identify cassava accessions as well as in the
assessment of level of genetic relatedness among accessions.