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Conferring of drought tolerance in wheat (Triticum aestivum L.) genotypes using seedling indices

Wheat is the most widely grown and consumed crop because of its economic and social benefits. This crop is more important globally for food and feed, and its productivity is particularly vulnerable to abiotic factors. In this study, 40 wheat genotypes were studied to access the drought tolerance lev...

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Autores principales: Ahmed, Hafiz Ghulam Muhu-Din, Zeng, Yawen, Shah, Adnan Noor, Yar, Muhammad Majid, Ullah, Aziz, Ali, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355593/
https://www.ncbi.nlm.nih.gov/pubmed/35937360
http://dx.doi.org/10.3389/fpls.2022.961049
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author Ahmed, Hafiz Ghulam Muhu-Din
Zeng, Yawen
Shah, Adnan Noor
Yar, Muhammad Majid
Ullah, Aziz
Ali, Muhammad
author_facet Ahmed, Hafiz Ghulam Muhu-Din
Zeng, Yawen
Shah, Adnan Noor
Yar, Muhammad Majid
Ullah, Aziz
Ali, Muhammad
author_sort Ahmed, Hafiz Ghulam Muhu-Din
collection PubMed
description Wheat is the most widely grown and consumed crop because of its economic and social benefits. This crop is more important globally for food and feed, and its productivity is particularly vulnerable to abiotic factors. In this study, 40 wheat genotypes were studied to access the drought tolerance level using completely randomized design (CRD) in 250 ml disposable cups through morpho–physiological attributes at seedling stage. The wheat germplasm was tested under normal and two drought stress level D1 (50% field capacity) and D2 (75% field capacity) for different seedling attributes such as germination percentage (GP), chlorophyll content (CC), shoot length (SL), root length (RL), shoot fresh weight (SFW), root fresh weight (RFW), seedling fresh weight (SDFW), shoot dry weight (SDW), root dry weight (RDW), relative water content (RWC), root/shoot ratio (RS), and seedling dry weight (SeDW). The results of analysis of variance (ANOVA) and spider analysis indicate that significant amount of genetic variation was present and behavior of studied germplasm showed different behavior in different environment. The correlation analysis showed that root length has significantly positive association with root/shoot ratio, dry weight, and fresh weight while negatively correlated with shoot length and relative water content. Based on the positively associated traits, the studied genetic material would improve genetic gain for drought tolerance. The multivariate analysis showed that out 13 principal components only five PCs were significant and has eigenvalue > 1, cumulatively showed 82.33, 83.07, and 97.34% of total variation under normal, D1 and D2 conditions, respectively. Significantly, the result of spider graph and multivariate analysis showed that genotypes G47, G48, G65, G68, and G80 performed well in all drought stress conditions and considered as drought-tolerant genotypes. The best performing genotypes can be used in future breeding programs. The selection on the bases of studied attributes is effective for development of drought-tolerant and high-yielding varieties for sustainable food security.
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spelling pubmed-93555932022-08-06 Conferring of drought tolerance in wheat (Triticum aestivum L.) genotypes using seedling indices Ahmed, Hafiz Ghulam Muhu-Din Zeng, Yawen Shah, Adnan Noor Yar, Muhammad Majid Ullah, Aziz Ali, Muhammad Front Plant Sci Plant Science Wheat is the most widely grown and consumed crop because of its economic and social benefits. This crop is more important globally for food and feed, and its productivity is particularly vulnerable to abiotic factors. In this study, 40 wheat genotypes were studied to access the drought tolerance level using completely randomized design (CRD) in 250 ml disposable cups through morpho–physiological attributes at seedling stage. The wheat germplasm was tested under normal and two drought stress level D1 (50% field capacity) and D2 (75% field capacity) for different seedling attributes such as germination percentage (GP), chlorophyll content (CC), shoot length (SL), root length (RL), shoot fresh weight (SFW), root fresh weight (RFW), seedling fresh weight (SDFW), shoot dry weight (SDW), root dry weight (RDW), relative water content (RWC), root/shoot ratio (RS), and seedling dry weight (SeDW). The results of analysis of variance (ANOVA) and spider analysis indicate that significant amount of genetic variation was present and behavior of studied germplasm showed different behavior in different environment. The correlation analysis showed that root length has significantly positive association with root/shoot ratio, dry weight, and fresh weight while negatively correlated with shoot length and relative water content. Based on the positively associated traits, the studied genetic material would improve genetic gain for drought tolerance. The multivariate analysis showed that out 13 principal components only five PCs were significant and has eigenvalue > 1, cumulatively showed 82.33, 83.07, and 97.34% of total variation under normal, D1 and D2 conditions, respectively. Significantly, the result of spider graph and multivariate analysis showed that genotypes G47, G48, G65, G68, and G80 performed well in all drought stress conditions and considered as drought-tolerant genotypes. The best performing genotypes can be used in future breeding programs. The selection on the bases of studied attributes is effective for development of drought-tolerant and high-yielding varieties for sustainable food security. Frontiers Media S.A. 2022-07-22 /pmc/articles/PMC9355593/ /pubmed/35937360 http://dx.doi.org/10.3389/fpls.2022.961049 Text en Copyright © 2022 Ahmed, Zeng, Shah, Yar, Ullah and Ali. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Ahmed, Hafiz Ghulam Muhu-Din
Zeng, Yawen
Shah, Adnan Noor
Yar, Muhammad Majid
Ullah, Aziz
Ali, Muhammad
Conferring of drought tolerance in wheat (Triticum aestivum L.) genotypes using seedling indices
title Conferring of drought tolerance in wheat (Triticum aestivum L.) genotypes using seedling indices
title_full Conferring of drought tolerance in wheat (Triticum aestivum L.) genotypes using seedling indices
title_fullStr Conferring of drought tolerance in wheat (Triticum aestivum L.) genotypes using seedling indices
title_full_unstemmed Conferring of drought tolerance in wheat (Triticum aestivum L.) genotypes using seedling indices
title_short Conferring of drought tolerance in wheat (Triticum aestivum L.) genotypes using seedling indices
title_sort conferring of drought tolerance in wheat (triticum aestivum l.) genotypes using seedling indices
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355593/
https://www.ncbi.nlm.nih.gov/pubmed/35937360
http://dx.doi.org/10.3389/fpls.2022.961049
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