Phenotypic analysis of sorghum [Sorghum bicolor (L) Moench] genotypes for drought responsive traits
Sorghum (Sorghum bicolor L.) production in Ethiopia is often affected by a range of abiotic factors, mainly drought. This study aimed to evaluate the genetic variation and heritability of shoot and root traits that contribute to drought tolerance in sorghum genotypes. A total of 158 genotypes were a...
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Taylor & Francis Group
2025-12-01
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| Series: | Cogent Food & Agriculture |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/23311932.2025.2454984 |
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| author | Atnafu Kebede Geleta Dugassa Barka Mulugeta Kebede Temesgen Matiwos Menamo Taye Tadesse |
| author_facet | Atnafu Kebede Geleta Dugassa Barka Mulugeta Kebede Temesgen Matiwos Menamo Taye Tadesse |
| author_sort | Atnafu Kebede |
| collection | DOAJ |
| description | Sorghum (Sorghum bicolor L.) production in Ethiopia is often affected by a range of abiotic factors, mainly drought. This study aimed to evaluate the genetic variation and heritability of shoot and root traits that contribute to drought tolerance in sorghum genotypes. A total of 158 genotypes were analyzed using a high-throughput phenotyping platform. Highly significant (p < .001) variations were observed for all traits considered, with strong and positive correlations among root-related traits at p < .001 (r = 0.76–0.99) and shoot traits at p < .001 (r = 0.27–0.98). The observed range of the root angles varied from 7.75° to 25.17°, with an average of 14.81°. The heritability estimates ranged from 35.51% to 76.25%, with an average of 62.40%. At an eigenvalue of greater than 1, four principal components explained 87.20% of the variability of the data sets, with PC1 and PC2 accounting for 38.10% and 34.10% of the total variability. Cluster analysis grouped the genotypes into four genetic groups. We believe that this study provides valuable insights into the genetic diversity and heritability of root and shoot-related traits in sorghum. In addition, these findings can assist in decision-making regarding the prioritization of sorghum genotypes in breeding programs targeting drought. |
| format | Article |
| id | doaj-art-0b7b876c7b0142c586cf610ced6b5190 |
| institution | Kabale University |
| issn | 2331-1932 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Food & Agriculture |
| spelling | doaj-art-0b7b876c7b0142c586cf610ced6b51902025-01-25T07:16:52ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322025-12-0111110.1080/23311932.2025.2454984Phenotypic analysis of sorghum [Sorghum bicolor (L) Moench] genotypes for drought responsive traitsAtnafu Kebede0Geleta Dugassa Barka1Mulugeta Kebede2Temesgen Matiwos Menamo3Taye Tadesse4Department of Applied Biology, School of Applied Natural Sciences, Adama Science and Technology University, Adama, EthiopiaDepartment of Applied Biology, School of Applied Natural Sciences, Adama Science and Technology University, Adama, EthiopiaDepartment of Plant Biology & Biodiversity Management, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, EthiopiaDepartment of Horticulture and Plant Sciences, College of Agriculture and Veterinary Medicine, Jimma University, Jimma, EthiopiaCrop Research Directorate, Ethiopian Institute of Agricultural Research (EIAR), Addis Ababa, EthiopiaSorghum (Sorghum bicolor L.) production in Ethiopia is often affected by a range of abiotic factors, mainly drought. This study aimed to evaluate the genetic variation and heritability of shoot and root traits that contribute to drought tolerance in sorghum genotypes. A total of 158 genotypes were analyzed using a high-throughput phenotyping platform. Highly significant (p < .001) variations were observed for all traits considered, with strong and positive correlations among root-related traits at p < .001 (r = 0.76–0.99) and shoot traits at p < .001 (r = 0.27–0.98). The observed range of the root angles varied from 7.75° to 25.17°, with an average of 14.81°. The heritability estimates ranged from 35.51% to 76.25%, with an average of 62.40%. At an eigenvalue of greater than 1, four principal components explained 87.20% of the variability of the data sets, with PC1 and PC2 accounting for 38.10% and 34.10% of the total variability. Cluster analysis grouped the genotypes into four genetic groups. We believe that this study provides valuable insights into the genetic diversity and heritability of root and shoot-related traits in sorghum. In addition, these findings can assist in decision-making regarding the prioritization of sorghum genotypes in breeding programs targeting drought.https://www.tandfonline.com/doi/10.1080/23311932.2025.2454984Cluster analysisheritabilityphenotypingprincipal component analysisroot system architectureAgriculture & Environmental Sciences |
| spellingShingle | Atnafu Kebede Geleta Dugassa Barka Mulugeta Kebede Temesgen Matiwos Menamo Taye Tadesse Phenotypic analysis of sorghum [Sorghum bicolor (L) Moench] genotypes for drought responsive traits Cogent Food & Agriculture Cluster analysis heritability phenotyping principal component analysis root system architecture Agriculture & Environmental Sciences |
| title | Phenotypic analysis of sorghum [Sorghum bicolor (L) Moench] genotypes for drought responsive traits |
| title_full | Phenotypic analysis of sorghum [Sorghum bicolor (L) Moench] genotypes for drought responsive traits |
| title_fullStr | Phenotypic analysis of sorghum [Sorghum bicolor (L) Moench] genotypes for drought responsive traits |
| title_full_unstemmed | Phenotypic analysis of sorghum [Sorghum bicolor (L) Moench] genotypes for drought responsive traits |
| title_short | Phenotypic analysis of sorghum [Sorghum bicolor (L) Moench] genotypes for drought responsive traits |
| title_sort | phenotypic analysis of sorghum sorghum bicolor l moench genotypes for drought responsive traits |
| topic | Cluster analysis heritability phenotyping principal component analysis root system architecture Agriculture & Environmental Sciences |
| url | https://www.tandfonline.com/doi/10.1080/23311932.2025.2454984 |
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