Zaki, H., El-Tayeh, N., Abo El Hagag, F., Youssef, N. (2023). Correlation between Genetic- physiological Traits of Egyptian Lupin (Lupinus termis) Induced by Drought Stress. Egyptian Journal of Botany, 63(3), 1141-1154. doi: 10.21608/ejbo.2023.191189.2245
Hoida Zaki; Noha A. El-Tayeh; Fayrouz Abo El Hagag; Nora H. Youssef. "Correlation between Genetic- physiological Traits of Egyptian Lupin (Lupinus termis) Induced by Drought Stress". Egyptian Journal of Botany, 63, 3, 2023, 1141-1154. doi: 10.21608/ejbo.2023.191189.2245
Zaki, H., El-Tayeh, N., Abo El Hagag, F., Youssef, N. (2023). 'Correlation between Genetic- physiological Traits of Egyptian Lupin (Lupinus termis) Induced by Drought Stress', Egyptian Journal of Botany, 63(3), pp. 1141-1154. doi: 10.21608/ejbo.2023.191189.2245
Zaki, H., El-Tayeh, N., Abo El Hagag, F., Youssef, N. Correlation between Genetic- physiological Traits of Egyptian Lupin (Lupinus termis) Induced by Drought Stress. Egyptian Journal of Botany, 2023; 63(3): 1141-1154. doi: 10.21608/ejbo.2023.191189.2245
Correlation between Genetic- physiological Traits of Egyptian Lupin (Lupinus termis) Induced by Drought Stress
Botany and Microbiology Department, Faculty of Science, South Valley University, 83523, Qena, Egypt
Abstract
This study applied SRAP (sequence-related amplified polymorphisms) markers, alterations in some growth, and physiological parameters to study how the Lupinus termis plant responded to water deficit. Under drought stress, lupin plants showed decreased growth criterion, photosynthetic pigments, and various elements, including Ca2+, Mg2+, and K+. While raised levels of total free amino acids, soluble carbohydrates, soluble proteins, malondialdehyde, proline, antioxidant enzymes, and Na+ amount in the experimental plants. Using 12 SRAP primers, lupin under drought stress appeared 13.44% polymorphic, 75.63% monomorphic, and 10.92% unique bands. The band’s number ranged from four to fifteen bands. The UPMGA dendrogram of SRAP separated the lupin plants under drought into two main clusters. The first one contained two sub-clusters; the first included plants exposed to 40% of field capacity, while the second sub-cluster included control and plants exposed to 80% of field capacity. The second cluster included plants exposed to 60% of field capacity. In this sense, these findings can enhance drought monitoring and assessment by establishing accurate correlations between genetic-physiological features and the degree of the drought.
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