Production, physiology, and molecular characterization of sorghum (Sorghum bicolor (L.) Moench) genotypes under the interactions of abiotic stresses
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Horizontal and vertical improvement of crop production is one of the most important challenges facing the world to overcome global climate change and dwindling of water resources. Four sorghum genotypes were planted under the stressed habitat (Kharga) compared to that of the adequate one (Ashmoun). The number of tillers, shoot heights, grain weight, biological yields, dry weights and relative water contents of the genotypes decreased under the stressed habitat. The biochemical contents of the genotypes varied, noticeably: the stress increased the carotenoids, soluble sugars, total carbohydrates, proline and mineral contents. However, chlorophyll a & b and total protein contents were decreased under stress conditions. To discriminate the four sorghum genotypes SRAP marker was used. A total of 52 amplicons were generated by 8 tested primer pairs, with a size range of 90 bp to 925 bp, of which 44 were polymorphic (83.4 % polymorphism). The SRAP profile yielded 35 unique bands (out of 52); 24 in a positive (M+) and 11 in a negative state (M−). The discriminatory power (DP) value for the SRAP markers ranged from 60 to 100 % with an average primer efficiency value of 13 %. The dendrogram analysis categorized the genotypes into two major clusters. ICSV 25274 and Dorado were found to be genetically similar, whereas ICSV 745 was the most dissimilar one.
KeywordsEnvironmental stress Heat Sweet sorghum Polymorphism SRAP marker Kharga
The authors are grateful to Prof. Ashraf S.A. El-Sayed (Faculty of Science, Zagazig University) for the facilities in the molecular analysis of this study. The authors also thank Prof. Mohsen Abdel-Tawwab (Central Lab for Aquaculture Research, Abbassa, Abo-Hammad, Egypt) for assistance in the statistical analyses and Mr. Maged Ismaiel for writing assistance.
Compliance with ethical standards
Conflict of interest
The authors declare that there is no conflict of interest.
- Ara N, Nakkanong K, Lv W, Yang J, Hu Z, Zhang M (2013) Antioxidant enzymatic activities and gene expression associated with heat tolerance in the stems and roots of two cucurbit species (“Cucurbita maxima” and “Cucurbita moschata”) and their interspecific inbred line “Maxchata”. Int J Mol Sci 14:24008–24028. https://doi.org/10.3390/ijms141224008 CrossRefPubMedPubMedCentralGoogle Scholar
- Black CA, Evans DD, White JL, Ensminger LE, Clarck FE (1965) Methods of soil analysis, Part 2. Chemical and microbiological properties. Agron. No. 9. American Society of Agronomy Inc., Madison, Wisc, USAGoogle Scholar
- Cottenie A, Verloo M, Kiekens L, Velghe G, Camerlynck R (1982) Chemical analysis of plants and soils, lab. Anal Agrochem State Univ Ghent Belgium 63Google Scholar
- Dytham C (1999) Choosing and using statistics: a biologist’s guide. Blackwell Science Ltd., LondonGoogle Scholar
- Gill PK, Sharma AD, Singh P, Bhullar SS (2001) Effect of various abiotic stresses on the growth, soluble sugars and water relations of sorghum seedlings grown in light and darkness. Bulg J Plant Physiol 27(1–2):72–84Google Scholar
- González L, González-Vilar M (2001) Determination of relative water content. In: Roger MJR (ed) Handbook of plant ecophysiology techniques. Springer, Netherlands, pp 207–212Google Scholar
- Li G, McVetty PBE, Quiros CF (2013) SRAP molecular marker technology in plant science. In: Andersen SB (ed) Plant breeding from laboratories to fields. Copenhagen, InTech. pp 23–43Google Scholar
- Lobato AKS, Oliveira Neto CF, Santos Filho BG, Costa RCL, Cruz FJR, Neves HKB, Lopes MJS (2008) Physiological and biochemical behavior in soybean (Glycine max cv. Sambaiba) plants under water deficit. Aust J Crop Sci 2(1):25–32Google Scholar
- Lowery OH, Rosebrough NJ, Farr AL, Randall RJ (1951) Protein measurement with the Folin phenol reagent. J Biochem 193:256–275Google Scholar
- Ohshiro M, Hossain MA, Nakamura I, Akamine H, Tamaki M, Bhowmik PC, Nose A (2016) Effects of soil types and fertilizers on growth, yield, and quality of edible Amaranthus tricolor lines in Okinawa, Japan. Plant Prod Sci 19(1):61–72. https://doi.org/10.1080/1343943X.2015.1128087 CrossRefGoogle Scholar
- Reddy MP, Vora AB (1983) Effect of salinity on germination and free proline content of bajra (Pennisetum typhoides S & H) seedlings. Proc Indian Nat Sci Acad 49:702–705Google Scholar
- Rohlf FJ (2000) NTSYS-Pc: Numerical Taxonomy and Multivariate Analysis System, Version 2.1, User Guide. Exeter Software, New YorkGoogle Scholar
- Sayyad-Amin P, Jahansooz MR, Borzouei A, Ajili F (2016) Changes in photosynthetic pigments and chlorophyll-a fluorescence attributes of sweet-forage and grain sorghum cultivars under salt stress. J Biol Phys 42(4):601–620. https://doi.org/10.1007/s10867-016-9428-1 CrossRefPubMedPubMedCentralGoogle Scholar
- Vanderlip RL, Reeves HE (1972) Growth stages of sorghum [Sorghum bicolor (L.) Moench.]. Agron J 64:13–16. https://doi.org/10.2134/agronj1972.00021962006400010005x CrossRefGoogle Scholar
- Xiang C, Du J, Zhang P, Cao G, Wang D (2015) Preliminary study on salt resistance seedling trait in maize by SRAP molecular markers. In: advances in applied biotechnology; proceedings of the 2nd international conference on applied biotechnology (ICAB 2014). Springer, Berlin, pp 11–18. https://doi.org/10.1007/978-3-662-45657-6_2 CrossRefGoogle Scholar
- Zaefizadeh M, Goliev R (2009) Diversity and relationships among durum wheat landraces (Subconvars) by SRAP and phenotypic marker polymorphism. Res Biol Sci 4:960–966 http://medwelljournals.com/abstract/?doi=rjbsci.2009.960.966 Google Scholar