Striga stands as one of the most significant biotic constraints, severely impacting sorghum production and productivity in the northern and northeastern regions of the country. This study aimed to assess the performance of 49 sorghum genotypes against Striga hermonthica and examine the relationship between yield and traits associated with Striga. The experiment was carried out in Kobo, located in north eastern Ethiopia, during the main cropping season of 2022, utilizing a simple lattice design. The variance analysis indicated highly significant differences (p 0.01) among genotypes across all traits. Genotype E17024-2 exhibited the highest Striga severity mean of 58.9, while the lowest mean of 1.4 was observed in genotype E17008-1. The grain yields recorded were highest at 6.5 tons per hectare for E17096-2 and lowest at 2.5 tons per hectare for E17065-2. At the genotypic level, grain yield showed highly significant positive correlation with panicle length (0.68), head count (0.83), head weight (0.95), biomass yield (0.77) and harvest index (0.8). Both at phenotypic and genotypic level, grain yield was highly significant negative correlated to striga count (-0.9,-0.94), striga vigorisity (-0.24, -0.36) and striga severity (-0.89, -0.93. The first five principal components of analysis explained 86.8% of the total variation and the traits Panicle width (0.76), Striga vigorisity (0.69), days to maturity (0.59), days to flowering (0.55) and plant height (0.46) captured most of the variability. Cluster analysis was done to group the genotypes based on multiple traits, forming five distinct clusters. The highest Striga severity score was recorded in Cluster IV (50.9) and Cluster II (48.2) but the minimum score was recorded in Cluster III (7.9). Hence, genotypes from cluster III can be used in sorghum breeding programs for grain yield improvement under Striga infested areas. The maximum inter-cluster distance was recorded between cluster III and cluster V (666.2). Accordingly, resistance, tolerance and susceptible genotypes were identified.
Mitiku et al. (Tue,) studied this question.