Genetic Variability and Drought Parameters among Some Grain Sorghum Genotypes (Sorghum bicolor L. Moench) Using Quantitative Traits and Molecular Markers

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Published: 2024-03-18

Page: 22-39

Bahaa A. Zarea *

Grain Sorghum Research Department, Field Crops Research Institute, ARC, Egypt.

M.E.M. El-Sagheer

Grain Sorghum Research Department, Field Crops Research Institute, ARC, Egypt.

H.M. Hafez

Grain Sorghum Research Department, Field Crops Research Institute, ARC, Egypt.

A.Y.M. Ahmed *

Department of Genetics, Faculty of Agriculture, Sohag University, Sohag, Egypt.

*Author to whom correspondence should be addressed.


Genetic diversity is one of the main element in the enhancement of many crops, including   sorghum. For that, twenty-grain sorghum genotypes were evaluated at Shandaweel Agricultural Research Station, Sohag governorate, Egypt, during the summer season of 2023 in two experiments (normal irrigation 100% and severe water stress 40% of the optimum) for assessment of the variability among these genotypes, RAPD molecular markers and drawing the phylogenetic tree using cluster analysis. The results indicated highly significant differences among the genotypes, irrigation treatments and their interaction for all traits, suggesting that these genotypes were highly variable, therefore, would respond to selection, the genotypes G3, G7, G8, G13 and G16 gave the best performance for grain yield/plant under both environments and their combined data. These genotypes will be testing in a large scale. High genetic advance as a percentage of mean (Δg%) was obtained for plant height and 1000 grain weight and moderate for days to 50% flowering and grain yield/plant. High GCV% and PCV% revealed for plant height, moderate for 1000-grain weight, and low for days to 50% flowering and grain yield/plant., this demonstrates that the genotypes have a diverse genetic background as well as the capacity to respond favorably to selection. The desirable genotypes that had high grain yield and tolerant to drought according to SSI, STI, HM, MPI, YI, SM, RP, YSI, TOL and YIX values, were genotypes G3 and G 13.

The Results of RAPD molecular markers showed that the percent of polymorphism (%P) were between 44.44 to 77.78 with an average of 59.78%. The number of polymorphic bands ranged from 4 to 12 with an average of 6.38 bands per primer. The bands size ranged from 259 bp to 2318 bp, generated by OPA-18 and OPH-01 primers, respectively. The Polymorphism information content (PIC) values varied from 0.10 to 0.28 with an average of 0.20. While marker index (MI) varied from 0.40 to 2.76 with an average of 1.31. In this trend the results revealed that the resolving power (Rp) varied from 1.10 (OPA-18 & OPAV-13) to 5.20 (OPG-09) with an average of 2.90. Single-marker analysis (SMA) indicated that three of the RAPD markers identified in this study showed significant association with the two traits viz., plant height and 1000-grain weight under normal and drought environments conditions. The cluster analysis based on RAPD and means of morphological data showed similarity coefficient values ranged from 0.64 to 0.92 with an average similarity index of 0.78. The Mantel test revealed, there was positive and non-significant correlation between the genetic distances based on phenotypic data and the similarity data based on RAPD markers, (r= 0.07, P< 0.05) and (r= 0.03, P< 0.05) under normal and drought conditions, respectively.

Keywords: Drought indices, molecular markers, phylogenetic tree, similarity coefficient, cluster analysis

How to Cite

Zarea , B. A., El-Sagheer, M., Hafez , H., & Ahmed , A. (2024). Genetic Variability and Drought Parameters among Some Grain Sorghum Genotypes (Sorghum bicolor L. Moench) Using Quantitative Traits and Molecular Markers . Asian Journal of Research and Review in Agriculture, 6(1), 22–39. Retrieved from


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Ranade SA, Farooqui N, Bhattacharya E, Verma A. Gene tagging with random amplified polymorphic DNA (RAPD) marker for molecular breeding in plants. Crit. Rev. Plant Sci. 2001;20:251-275.

Cheng KT, Chang HC, Su CH, Hsu FL. Identification of dried rhizomes of Coptis species using random amplified polymorphic DNA. Bot. Bull. Acad. Sin. 1997;38:241-244.

Allen RG, Pereira LS, Raes D, Smith M. Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. Rome, Italy: Food and Agriculture Organization of the United Nations; 1998.

Snedecor GW, Cochran WG. Statistical methods. 18 th ed. New Delhi, Wiledy Black Well; 2014.

Singh PK, Chaudhary SD. Biometrical methods in quantitative genetics analysis. Khalyani New Delhi, India. 1985;318.

Johnson HW, Robinson HF, Comstock RE. Estimates of genetic and environmental variability in soybeans. Agron. J. 1955;47: 314-318.

Fisher RA, Maurer R. Drought resistance in spring wheat cultivars. 1. Grain yield response. Aust. J. Agric. Res. 1978;29: 897-912. Available:

Fernandez GCJ. Effective selection criteria for assessing plant stress tolerance. In: Proceedings of the International Symposium on Adaptation of Vegetables and other Food Crops in Temperature and Water Stress, Chapter 25, Taiwan. 1992;257-270 Available:

Kristin AS, Senra RR, Perez FI, Enriquez BC, Gallegos JAA, Lin PR, CS, Binns MR. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci. 1988;68:193¬-198.

Rosielle AA, Hamblin J. Theoretical aspects of selection for yield in stress and non-stress environments. Crop Sci. 1981;21:943-946 Available:

Blum AH, Poyarkova G, Golan J, Mayer Chemical desiccation of wheat plants as a simulator of postanthesis stress. I. Effects on translocation and kernel growth. Field Crops Research. 1983;6:51-58.

Lin CS, Binns MR. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci. 1988;68:1 93- 198.

Abo-Elwafa A, Bakheit BR. Performance, correlation and path coefficient analysis in faba bean. Assiut J. Agric. Sci. 1999;30:77-91.

Gavuzzi P, Rizza F, Palumbo M, Campaline RG, Ricciardi GL, Borghi B. Evaluation of field and laboratory predictors of drought and heat tolerance in winter cereals. Plant Sci. 1997;77:523-531 Available:

Guttieri MJ, Stark JC, Brien K, Souza E. Relative sensitivity of spring wheat grain yield and quality parameters to moisture defi cit. Crop Sci. 2001;41:327-335. Available:

Poresbski SL, Bailey G, Baum RB. Modification of CTAB DNA extraction protocol for plants containing high polysaccharide and polyphenol components. Plant Mol. Biol. Reporter. 1997;12:8-15.

Sambrook J, Fritsch EF, Maniatis T. Molecular cloning: A laboratory manual. 2nd Edition. Cold Spring Harbor, New York: Cold Spring Harbor Laboratory Press; 1989.

Jaccard P. Nouvelles recherché sur la distribution florale. Bulletin de la Societe Vandoise des Sciences Naturelles. 1908;44:223-270.

Ghislain M, Zhang D, Fajardo D, Hanuman Z, Hijmans R. Marker assisted sampling of the cultivated Andean potato (Solanum phureja) collection using RAPD markers. Genet., Res., Crop Evol. 1999;46:547-555.

Powell W, Morgante M, Andre C, Hanafey M, Vogel J, Tingey S, Rafalski A. The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Molecular Breeding. 1996;2: 225-238.

Mantel N. The detection of disease clustering and a generalized regression approach. Cancer Res. 1967;27:209-220.

Rohlf FJ. NTSYS-pc: Numerical taxonomy and multivariate analysis system. Version 2.1 Exeter Software, Setauket, USA; 2000.

Endalamaw C, Zigale S. Genetic variability and yield performance of sorghum (Sorghum bicolor (L.) Moench) genotypes grown in semi-arid ethiopia. International Journal of Advanced Biological and Biomedical Research. 2020;8(2):193-213.

Zarea A, Deshmoukh DT, Ismail E. Genetic variability and heritability across locations for different quantitative traits in forage sorghum (Sorghum bicolor (L.) Moench) Genotypes. Int. J. Curr. Microbiol. App. Sci. 2020;9: 610-621.

Kamal NM, Gorafi YSA, Tomemori H, Kim JS, Elhadi GMI, Tsujimoto H. Genetic variation for grain nutritional profile and yield potential in sorghum and the possibility of selection for drought tolerance under irrigated conditions. BMC Genomics. 2023;24:515. Available:

Jafar MB, Tesso G. Mengistu Genetic variability, heritability, and genetic advance for quantitative traits of sorghum [Sorghum Bicolor (L.) Moench] genotypes at Fedis, Eastern Ethiopia. Int J Agric Sc Food Technol. 2023;9:64-75. DOI: 10.17352/2455-815X.000195

Deshmukh SN, Basu MS, Reddy PS. Genetic variability, character association and path coefficients of quantitative traits in Virginia bunch varieties of groundnut. Int. J. Agri. Sci. 1986;56:515-518.

Endalamaw C, Mohammed H, Adugna A. Genetic variability and performance in agronomic and quality traits in sweet sorghum (Sorghum bicolor (L.) Moench) genotypes. African Journal of Biotechnology. 2019;3:37:45.

Sawadogo N, Ouédraogo MH, Bougma LA, Yaméogo N, Tondé WH, Tiendrébéogo J, Tuina S, Naoura G, Sawadogo M. Assessment of genetic variability of three types of sorghum cultivated in burkina faso using morph agronomic quantitative traits and brix. Genetic diversity - Recent advances and applications. Intech. Open; 2023. DOI: 10.5772/intechopen.105984

Dhutmal R, Mehetre S, More A, Kalpande H,. Mundhe A, Abubakkar AS. Variability parameters in rabi sorghum (Sorghum bicolor (L.) Moench) drought tolerant genotypes. The bio-scan. 2014;9:1455-1458.

Badran AE. Genetic parameters of some Sorghum (Sorghum bicolor (L.) Moench) genotypes under water deficit stress. Egyptian J. Desert Res. 2020;70:103-119.

Gitore SA, Danga B, Henga S, Gurmu F. Evaluating drought tolerance indices for selection of drought tolerant orange fleshed sweet potato (OFSP) genotypes in Ethiopia. J Agric Sc. Food Technol. 2021;7:249-254. Available:

Khatab Ismael A, El-Mouhamady AA, Abdel-Rahman HM, Mona A Farid, El- Demardash IS. Agro-morphological and molecular characterization of Sorghum (Sorghum vulgare L.) for water stress tolerance. Int. J. Curr. Res. Biosci. Plant Biol. 2017;4:37- 55.

Hadeer SA, Abdelaziz GAR, El-Sherbeny Khaled AGA. Genetic diversity in Sorghum using molecular markers. M.Sc. Thesis, Faculty of Agric. Sohag Univ., Egypt; 2019.

Zinzala S, Davda BK, Modha KG, Patel RK, Baldaniya V. Genetic diversity analysis of Sorghum (Sorghum bicolor L. Moench) genotypes using RAPD markers. Biosci., Biotech. Res. Asia. 2018;15:833-839. Available:

Sinha Sweta N, Kumaravadivel, Susan Eapen. RAPD Analysis in Sorghum (Sorghum bicolor (L.) Moench) Accessions. International Journal of Bio-resource and Stress Management. 2014;5: 381-385.

DOI: 10.5958/0976-4038.2014.00584.3

Tafere ME, Mindaye TT, Kebede SA. Genetic relationships among sorghum lines and correlation between genetic distance and hybrid performance. Research Square. 2022;5:1-15.


Jinwang Li, Chen QL, Chen P, Li OJ, JP Lv, Duan XF, Luo F, Gao JM, Sun SJ, Pei ZY. SRAP molecular marker of sugar content and juice yield in sweet sorghum, Molecular Plant Breeding. 2018;9: 1-7.

José A. Ruiz-chután, Jaroslav Salava, Dagmar Janovská, Jana Žiarovská, Marie Kalousová, and Eloy Fernández. Assessment of genetic diversity in sorghum bicolor using RAPD markers. GENETIKA. 2019;51:789-803. Available:

Shaikh TR, Sharma KM, Pawar GS 2021. Evaluation of hybrid purity with their parents in sorghum (Sorghum bicolor L. Monech) by using Rapd and SSR markers. The Pharma Innovation Journal. 2021;10: 155-159. Available:

Khaled AGA, AA. Tag El-Din and E.M. Hussein. Correlation, Path Analysis and RAPD Markers in Sorghum (Sorghum bicolor L. Moench) Genotypes. Assiut J. Agric. Sci. 2014;45:15-28.