Article Number: DRJAFS69752381

DOI: https://doi.org/10.26765/DRJAFS69752381

ISSN: 2354-4147

Vol.7 (12), pp. 375-384 December 2019

Copyright © 2019

Author(s) retain the copyright of this article


Original Research Article

Genetic diversity and principal component analysis for agronomic and technological characterization of sweet sorghum germplasm under Egyptian conditions

Fouz Abo Elenen. F. M.

Samar. A. M. Helmy

Eid. M. Mehareb

Noran. A. M. Bassiony


Abstract

This genetic diversity is an essential prerequisite for improving the genetic makeup of any crop. So, an experiment was conducted to investigate the genetic diversity among thirty-six sweet sorghum germplasm with different origin imported by Sugar Crops Research Institute. They were evaluated for 13 agronomic and technological traits during the summer 2018 and 2019 seasons at Giza Agricultural Research Station, Giza Governorate, and Egypt. The experimental design used was a randomized complete block design with three replicates. The magnitude of genetic variability was estimated using broad sense heritability (hb2). Also, cluster analysis was automated to identify the interrelationships among the tested genotypes as well as principal component (PC) analysis that was used to explain the majority of the total variation. Our results showed significant differences among genotypes for most traits studied. High estimates of genotypic and phenotypic coefficients of variation (GCV and PCV) coupled with high hb2 were observed for ethanol yield, juice yield and stalk length in the two seasons indicating the presence of genetic variability and potential selection for these traits. Results of cluster analysis exhibited a considerable genetic diversity among the tested genotypes which gave a good chance to achieve sufficient scope for genotypic improvement of sweet sorghum through the hybridization among genotypes taken from divergent clusters. The dendrogram for the clustering pattern of germplasm was grouped into six major clusters according to hierarchical clustering analysis based on the relative dissimilarity among 36 germplasm.  Considering the 4th sub-cluster, it comprised of six germplasm being Brands, Dale, Willy, Smith, Ramada, and Tracy, which had the best cluster. Also, these germplasms recorded the highest values of stalk diameter (cm), sucrose%, purity%, reducing sugars%, juice extraction%, Juice yield (t/fed), fermentable% and ethanol yield (L/fed) compared with other clusters, The PC analysis grouped the germplasm into groups and remained scattered in all four quadrants based on the phenotypic traits. The first four components of principal component (PC) analysis explained the majority of the total variation and contributed 81.30% of the total variation among the germplasm.  Therefore, this germplasm can be used as parents in sweet sorghum breeding programs to develop superior sugar-rich cultivars for bioethanol production in Egypt.


Keywords: Genetic diversity, sweet sorghum, germplasm, cluster analysis, principal component analysis


 Received: November 30, 2019  Accepted: December 14, 2019  Published: December 30, 2019

1Elenen Et Al


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