ANALYSIS OF DROUGHT-TOLERANT GENOTYPES IN SORGHUM USING MULTIVARIATE ANALYSIS TECHNIQUES
DOI:
https://doi.org/10.36103/dv2y2s06Keywords:
Stress indices, PCA, Cluster Analysis, Rank Summation, Drought Indices CorrelationAbstract
This study was conducted during the spring and fall seasons of 2024. The results showed a significant positive correlation between the three indices and productivity under both drought stress conditions (Ys) and non-stress conditions (Yp). This indicates that these indices are effective in identifying Genotype with high productivity potential in both scenarios. In the spring season, the superior Genotype were G7 (Giza 113), G14 (ACSAD 51), G15 (ACSAD 56), G20 (ACSAD 62), and G23 (ACSAD 66). In fall season, the top-performing Genotype were G8 (Tabet), G10 (Uruk), G17 (ACSAD 47), G20 (ACSAD 58), and G25 (ACSAD 68). All these Genotype demonstrated drought tolerance with high productivity under both stressed and non-stressed conditions. The indices used in this study help in identifying Genotype with a high ability to withstand drought, thus enhancing their effectiveness in challenging environmental conditions. Additionally, the aforementioned Genotype are considered suitable for use in crop improvement programs in the central region of Iraq, due to their ability to adapt to drought conditions and maintain good productivity under varying circumstances.
References
1. Abas, S. A., Z. A. Abdulhamed, and N. M. Abood, 2025. Impact of climate change on the growth, yield, and cultivar performance of sunflower under the influence of plant density. Iraqi Journal of Agricultural Sciences, 56(Special Issue), 99-110.
doi: https://doi.org/10.36103/9z5web62
2. Abd El-Mohsen, A.; M. Abd El-Shafi, E. Gheith, and H. suleiman. 2015 .using different statistical procedures for evaluating drought tolerance indices of bread wheat genotypes. Adv. Agric. Biol. 4 (1): 19-30.
DOI: 10.15192/PSCP.AAB.2015.4.1.1930
3. Abd, M S, Z A Abdulhamed, and M. A. Ghadir, 2021. Response of Maize Hybrids and Inbred to Yield and its Components under irrigation interval. IOP Conference Series: Earth and Environmental Science, 904, 012003.
doi: 10.1088/1755-1315/904/1/012003.
4. Abdulhamed, Z A, M I. Hwaidi, and M. R M. Alqaisi. 2023. Determination of maize genotypes performance under water deficit using ISSR molecular index. Plant Science Today, 10(1), 30–37.
doi: https://doi.org/10.14719/pst.1728
5. Abdulhamed, Z A, N M, Abood, and A. H. Noman, 2024. Recurrent selection for general and specific combining ability in maize. Iraqi Journal of Agricultural Sciences, 55(Special Issue), 99-110.
doi: 10.36103/ijas.v55iSpecial.1889
6. Abdulhamed, Z A, S. A. Abas, A. H. Noaman, and N. M. Abood. 2021 Genetic Performance of Inbred and Hybrids of Maize Under Irrigation Interval. IOP Conference Series: Earth and Environmental Science, 904, 012001.
doi: 10.1088/1755-1315/904/1/012001
7. Abdulkareem. B M, Z. A. Abdulhamed, and A. S. A. Ramadan.2025. Response of growth and yield of several sorghum varieties to plant density. Plant Science Today.;12(3):1–7.
DOI: https://doi.org/10.14719/pst.6915
8. Campos, M. L. I. de, Aspiazú, , P. C. Magalhães, A. J. de Carvalho, P. F. S. Alves, and A. F. Portugal, 2025. Morphophysiological indicators of drought tolerance in sorghum hybrids. Revista Ciência Agronômica, 56, e202394282. https://doi.org/10.5935/1806-6690.20250049
9. Directorate of Agricultural Statistics. 2019. Production of Sorghum, Maize, and Potatoes. Central Statistical Organization. Ministry of Planning, Iraq. doi: http://www.cosit.gov.iq
10. Enyew, M., T. Feyissa, M. Geleta, K. Tesfaye, C. Hammenhag, and A. S. Carlsson, 2021. Genotype × environment interaction, correlation, AMMI, GGE-biplot and cluster analysis for grain yield and other agronomic traits in sorghum (Sorghum bicolor L. Moench). PLOS ONE, 16(10), e0258211. https://doi.org/10.1371/journal.pone.0258211
11. Fadel, A A, Z A, Abdulhamed, and S. A. Yousif, 2022. RAPD Technique to Determine the Genetic Divergence of Barley Genotypes. IOP Conference Series: Earth and Environmental Science, 1060, 012123. https://doi.org/10.1088/1755 1315/1060/1/012123.
12. Gidi, M. 2023. Sorghum as a model crop for drought stress tolerance. Advances in Bioscience and Bioengineering, 11(3), 54-65. https://doi.org/10.11648/j.abb.20231103.14
13. Golabadi, M., A. Arzani, and S. A. M. Maibody, 2006. Assessment of drought tolerance in segregating populations in durum wheat. African Journal of Agriculture Research., 1(5): 162-171. https://doi.org/11.43925/ijas.v46i4.631
14. Ibrahim, M. Muayad and Z. A. Abdulhamed. 2023. Efficiency of selection in inducing genetic-molecular Variations in sunflower. IOP Conf. Series: Earth and Environmental Science 1158 062032.
doi: 10.1088/1755-1315/1158/6/062032.
15. Kumar, M. V. N., B. V. S. Reddy, and P. Madhusudhana, 2022. India’s rainfed sorghum improvement: Three decades of genetic gain in yield, fodder and nutritional traits. Frontiers in Plant Science, 13, 1056040. https://doi.org/10.3389/fpls.2022.1056040
16. Navyashree, R., U. V. Mummigatti, P. Nethra, B. Basavaraj, and N. G. Hanamaratti, 2024. Correlation and principal component analysis of morphophysiological and biochemical traits in sorghum under drought stress. International Journal of Research in Agronomy, 7(8), 15–23. https://doi.org/10.33545/2618060X.2024.v7.i8a.1173.
17. Sadras, V. O. and A. J., Hall, 1988. Quantification of temperature, photoperiod and population effects on plant leaf area in sunflower crops. Field Crops Research, 18(2-3).185-196.doi:10.36103/hgas.v49i5.33
18. Tesfazghi, M., T. Abraha, W. Araia, and N. N. Angiras, 202). Evaluation of Sorghum (Sorghum bicolor) Landraces for Drought Tolerance Using Morphological and Yield Characters under Rainfed Conditions of Sub Region Hagaz, Eritrea. Journal of Botanical Research, 4(4), 1–11. https://doi.org/10.30564/jbr.v4i4.4879
19. Tymchyshyn, O.; N., Rudavska, and L. Behen, 2021. Prospects of sunflower growing and the influence of plant density on productivity. Foothill and Mountain Agriculture and Stockbreeding, 70((70)-2),
20. Velazco, J.G., D. R. Jordan, E. S. Mace, C. H. Hunt, M. Malosetti, and F. A. van Eeuwijk, 2019. Genomic prediction of grain yield and drought-adaptation capacity in sorghum is enhanced by multi-trait analysis. Frontiers in Plant Science, 10, 997. https://doi.org/10.3389/fpls.2019.00997
21. Wang, M., I. Ahmad, B. Qin, L. Chen, W. Bu, G. Zhu, and G. Zhou, 2025. Identification and comprehensive evaluation of drought tolerance in sorghum during germination and seedling stages. Plants, 14(12), 1793. https://doi.org/10.3390/plants14121793


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