Multivariate Analysis of Morpho-Physiological Traits Reveals Differential Drought Tolerance Potential of Bread Wheat Genotypes at the Seedling Stage
Drought is one of the foremost environmental stresses that can severely limit crop growth and productivity by disrupting various physiological processes. In this study, the drought tolerance potential of 127 diverse bread wheat genotypes was evaluated by imposing polyethylene glycol (PEG)-induced dr...
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MDPI AG
2021-04-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/10/5/879 |
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| author | Mohammed Mohi-Ud-Din Md. Alamgir Hossain Md. Motiar Rohman Md. Nesar Uddin Md. Sabibul Haque Jalal Uddin Ahmed Akbar Hossain Mohamed M. Hassan Mohammad Golam Mostofa |
| author_facet | Mohammed Mohi-Ud-Din Md. Alamgir Hossain Md. Motiar Rohman Md. Nesar Uddin Md. Sabibul Haque Jalal Uddin Ahmed Akbar Hossain Mohamed M. Hassan Mohammad Golam Mostofa |
| author_sort | Mohammed Mohi-Ud-Din |
| collection | DOAJ |
| description | Drought is one of the foremost environmental stresses that can severely limit crop growth and productivity by disrupting various physiological processes. In this study, the drought tolerance potential of 127 diverse bread wheat genotypes was evaluated by imposing polyethylene glycol (PEG)-induced drought followed by multivariate analysis of several growth-related attributes. Results showed significant variations in the mean values of different morpho-physiological traits due to PEG-induced drought effects. Correlation analysis revealed that most of the studied traits were significantly correlated among them. The robust hierarchical co-clustering indicated that all the genotypes were clustered into four major groups, with cluster 4 (26 genotypes) being, in general, drought-tolerant followed by cluster 1 (19 genotypes) whereas, cluster 2 (55 genotypes) and 3 (27 genotypes) being drought-sensitive. Linear discriminant analysis (LDA) confirmed that around 90% of the genotypes were correctly assigned to clusters. Squared distance (<i>D<sup>2</sup></i>) analysis indicated that the clusters differed significantly from each other. Principal component analysis (PCA) and genotype by trait biplot analysis showed that the first three components accounted for 71.6% of the total variation, with principal component (PC) 1 accounting for 35.4%, PC2 for 24.6% and PC3 for 11.6% of the total variation. Both PCA and LDA revealed that dry weights, tissue water content, cell membrane stability, leaf relative water content, root-shoot weight ratio and seedling vigor index played the most important discriminatory roles in explaining drought tolerance variations among 127 wheat genotypes. Our results conclude that the drought-tolerant and -sensitive wheat genotypes identified in this study would offer valuable genetic tools for further improvement of wheat productivity in arid and semi-arid regions during this time of unpredictable climate change. |
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| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-10T11:55:44Z |
| publishDate | 2021-04-01 |
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| series | Plants |
| spelling | doaj.art-2bc5befec0404d348c5cbdd03bfeff342023-11-21T17:19:29ZengMDPI AGPlants2223-77472021-04-0110587910.3390/plants10050879Multivariate Analysis of Morpho-Physiological Traits Reveals Differential Drought Tolerance Potential of Bread Wheat Genotypes at the Seedling StageMohammed Mohi-Ud-Din0Md. Alamgir Hossain1Md. Motiar Rohman2Md. Nesar Uddin3Md. Sabibul Haque4Jalal Uddin Ahmed5Akbar Hossain6Mohamed M. Hassan7Mohammad Golam Mostofa8Department of Crop Botany, Bangladesh Agricultural University, Mymensingh 2202, BangladeshDepartment of Crop Botany, Bangladesh Agricultural University, Mymensingh 2202, BangladeshPlant Breeding Division, Bangladesh Agricultural Research Institute, Gazipur 1701, BangladeshDepartment of Crop Botany, Bangladesh Agricultural University, Mymensingh 2202, BangladeshDepartment of Crop Botany, Bangladesh Agricultural University, Mymensingh 2202, BangladeshDepartment of Crop Botany, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, BangladeshBangladesh Wheat and Maize Research Institute, Dinajpur 5200, BangladeshDepartment of Biology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, BangladeshDrought is one of the foremost environmental stresses that can severely limit crop growth and productivity by disrupting various physiological processes. In this study, the drought tolerance potential of 127 diverse bread wheat genotypes was evaluated by imposing polyethylene glycol (PEG)-induced drought followed by multivariate analysis of several growth-related attributes. Results showed significant variations in the mean values of different morpho-physiological traits due to PEG-induced drought effects. Correlation analysis revealed that most of the studied traits were significantly correlated among them. The robust hierarchical co-clustering indicated that all the genotypes were clustered into four major groups, with cluster 4 (26 genotypes) being, in general, drought-tolerant followed by cluster 1 (19 genotypes) whereas, cluster 2 (55 genotypes) and 3 (27 genotypes) being drought-sensitive. Linear discriminant analysis (LDA) confirmed that around 90% of the genotypes were correctly assigned to clusters. Squared distance (<i>D<sup>2</sup></i>) analysis indicated that the clusters differed significantly from each other. Principal component analysis (PCA) and genotype by trait biplot analysis showed that the first three components accounted for 71.6% of the total variation, with principal component (PC) 1 accounting for 35.4%, PC2 for 24.6% and PC3 for 11.6% of the total variation. Both PCA and LDA revealed that dry weights, tissue water content, cell membrane stability, leaf relative water content, root-shoot weight ratio and seedling vigor index played the most important discriminatory roles in explaining drought tolerance variations among 127 wheat genotypes. Our results conclude that the drought-tolerant and -sensitive wheat genotypes identified in this study would offer valuable genetic tools for further improvement of wheat productivity in arid and semi-arid regions during this time of unpredictable climate change.https://www.mdpi.com/2223-7747/10/5/879wheatdroughtrobust hierarchical co-clusterprincipal component analysislinear discriminant analysis |
| spellingShingle | Mohammed Mohi-Ud-Din Md. Alamgir Hossain Md. Motiar Rohman Md. Nesar Uddin Md. Sabibul Haque Jalal Uddin Ahmed Akbar Hossain Mohamed M. Hassan Mohammad Golam Mostofa Multivariate Analysis of Morpho-Physiological Traits Reveals Differential Drought Tolerance Potential of Bread Wheat Genotypes at the Seedling Stage Plants wheat drought robust hierarchical co-cluster principal component analysis linear discriminant analysis |
| title | Multivariate Analysis of Morpho-Physiological Traits Reveals Differential Drought Tolerance Potential of Bread Wheat Genotypes at the Seedling Stage |
| title_full | Multivariate Analysis of Morpho-Physiological Traits Reveals Differential Drought Tolerance Potential of Bread Wheat Genotypes at the Seedling Stage |
| title_fullStr | Multivariate Analysis of Morpho-Physiological Traits Reveals Differential Drought Tolerance Potential of Bread Wheat Genotypes at the Seedling Stage |
| title_full_unstemmed | Multivariate Analysis of Morpho-Physiological Traits Reveals Differential Drought Tolerance Potential of Bread Wheat Genotypes at the Seedling Stage |
| title_short | Multivariate Analysis of Morpho-Physiological Traits Reveals Differential Drought Tolerance Potential of Bread Wheat Genotypes at the Seedling Stage |
| title_sort | multivariate analysis of morpho physiological traits reveals differential drought tolerance potential of bread wheat genotypes at the seedling stage |
| topic | wheat drought robust hierarchical co-cluster principal component analysis linear discriminant analysis |
| url | https://www.mdpi.com/2223-7747/10/5/879 |
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