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Sorghum is an important food and feed crop in the semiarid regions of the world. Hence, this
study was conducted to evaluate genetic variability and traits associations among 81
Sorghum genotypes Northeastern Ethiopia during the 2023 cropping season, using a 9x9
simple lattice design. Quantitative data analysis was computed by using R software. Analysis
of variance revealed highly significant (P<0.001) differences among genotypes for days to
50% flowering, leaf length, leaf area index, plant height, panicle, length, head weight,
biological yield, harvest index, thousand kernel weight, and grain yield. This result indicates
the presence of sufficient genetic variation. The differences in PCV and GCV were small for
days to 50% flowering, days to maturity, plant height, head weight, panicle length, thousand
kernel weight, and grain yield, suggesting that the environment had minimal influence on the
expression of these traits. High broad sense of heritability coupled with high genetic advance
as a percentage of the mean were exhibited for head weight, biological yield, thousand kernel
weight, and grain yield. Days to 50% flowering, days to maturity, plant height, head weight,
leaf length, leaf width, leaf area index, panicle length, biological yield, thousand kernel
weight, and grain yield had positive and highly significant genotypic and phenotypic
correlations with grain yield. Days to 50% flowering, leaf length, leaf width, plant height,
biological yield, harvest index, and thousand kernel weight had positive direct effect at
genotypic level on grain yield, implying that a breeding strategy for increasing grain yield
and promising genotypes could be selected based on these traits. The first four principal
components accounted for 80.11% of the total variation among sorghum genotypes. The most
important traits that explained the greatest variation on the PCA was grain yield, head
weight, biological yield, leaf length, leaf area, plant height, harvest index, thousand kernel
weight, and days to maturity. The maximum intercluster distance was found between clusters
I and IV, followed by clusters I and, III and IV and clusters II and III, indicating good
opportunity for hybrid crosses between clusters rather than with in clusters. The result of this |
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