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Phenotyping for drought resistance in bread wheat using physiological and biochemical traits
Drought is one of the most prominent limiting factors that negatively affect crop productivity by manipulating its physiological pathway. One hundred twenty diverse bread wheat genotypes were used in a pot experiment to explore the relationship among their fifteen physio-biochemical traits (PBT) by...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189857/ https://www.ncbi.nlm.nih.gov/pubmed/32371202 http://dx.doi.org/10.1016/j.scitotenv.2020.139082 |
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author | Ahmed, Kashif Shabbir, Ghulam Ahmed, Mukhtar Shah, Kausar Nawaz |
author_facet | Ahmed, Kashif Shabbir, Ghulam Ahmed, Mukhtar Shah, Kausar Nawaz |
author_sort | Ahmed, Kashif |
collection | PubMed |
description | Drought is one of the most prominent limiting factors that negatively affect crop productivity by manipulating its physiological pathway. One hundred twenty diverse bread wheat genotypes were used in a pot experiment to explore the relationship among their fifteen physio-biochemical traits (PBT) by using multivariate analysis, heatmapping and stress tolerance index (STI) for grain yield as a marker trait to identify high yielding genotype with maximum stress tolerance capability. Increased proline and sugar accumulation were observed from control to moisture deficient environments by 159% and 122%, respectively. Moreover, leaf membrane stability index (LMSI), leaf relative water content (LRWC), relative dry weight (RDW), chlorophyll content, leaf surface area (LSA), Leaf succulence (LS), canopy temperature depression (CTD), relative excised leaf water loss (RELWL) and leaf osmotic potential (LOP) showed significantly decreasing trend in drought stress treatment as compared to well-watered plants by −21%, −21%, −34%, −22%, −38%, −37%, −46%, −18% and −35% respectively. Additionally, principal component analysis and genotype by trait biplot analysis showed that initial 7 principal components (PC1 to PC7) represented 77.27% and 79.02% of total cumulative variation under control and drought stress respectively. Genotypic-Phenotypic correlation revealed that most of the attributes were higher in case of genotypic correlation component (rg) as compared to the phenotypic correlation component (rp) indicating more genetic association between traits. The darker and lighter colour scale produced by heatmap exhibited contrasting nature of genotypes, as positive side with higher values represented drought resistance while values on the negative side with lower values showed susceptible performance of genotypes. Our results concluded that the studied PBT associated with STI for grain yield are the main factors which may contribute in improved productivity of wheat crop and if these traits show appropriate performance under stress condition the crop will show the more productive returns under changing climate. |
format | Online Article Text |
id | pubmed-7189857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71898572020-04-29 Phenotyping for drought resistance in bread wheat using physiological and biochemical traits Ahmed, Kashif Shabbir, Ghulam Ahmed, Mukhtar Shah, Kausar Nawaz Sci Total Environ Article Drought is one of the most prominent limiting factors that negatively affect crop productivity by manipulating its physiological pathway. One hundred twenty diverse bread wheat genotypes were used in a pot experiment to explore the relationship among their fifteen physio-biochemical traits (PBT) by using multivariate analysis, heatmapping and stress tolerance index (STI) for grain yield as a marker trait to identify high yielding genotype with maximum stress tolerance capability. Increased proline and sugar accumulation were observed from control to moisture deficient environments by 159% and 122%, respectively. Moreover, leaf membrane stability index (LMSI), leaf relative water content (LRWC), relative dry weight (RDW), chlorophyll content, leaf surface area (LSA), Leaf succulence (LS), canopy temperature depression (CTD), relative excised leaf water loss (RELWL) and leaf osmotic potential (LOP) showed significantly decreasing trend in drought stress treatment as compared to well-watered plants by −21%, −21%, −34%, −22%, −38%, −37%, −46%, −18% and −35% respectively. Additionally, principal component analysis and genotype by trait biplot analysis showed that initial 7 principal components (PC1 to PC7) represented 77.27% and 79.02% of total cumulative variation under control and drought stress respectively. Genotypic-Phenotypic correlation revealed that most of the attributes were higher in case of genotypic correlation component (rg) as compared to the phenotypic correlation component (rp) indicating more genetic association between traits. The darker and lighter colour scale produced by heatmap exhibited contrasting nature of genotypes, as positive side with higher values represented drought resistance while values on the negative side with lower values showed susceptible performance of genotypes. Our results concluded that the studied PBT associated with STI for grain yield are the main factors which may contribute in improved productivity of wheat crop and if these traits show appropriate performance under stress condition the crop will show the more productive returns under changing climate. The Authors. Published by Elsevier B.V. 2020-08-10 2020-04-29 /pmc/articles/PMC7189857/ /pubmed/32371202 http://dx.doi.org/10.1016/j.scitotenv.2020.139082 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ahmed, Kashif Shabbir, Ghulam Ahmed, Mukhtar Shah, Kausar Nawaz Phenotyping for drought resistance in bread wheat using physiological and biochemical traits |
title | Phenotyping for drought resistance in bread wheat using physiological and biochemical traits |
title_full | Phenotyping for drought resistance in bread wheat using physiological and biochemical traits |
title_fullStr | Phenotyping for drought resistance in bread wheat using physiological and biochemical traits |
title_full_unstemmed | Phenotyping for drought resistance in bread wheat using physiological and biochemical traits |
title_short | Phenotyping for drought resistance in bread wheat using physiological and biochemical traits |
title_sort | phenotyping for drought resistance in bread wheat using physiological and biochemical traits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189857/ https://www.ncbi.nlm.nih.gov/pubmed/32371202 http://dx.doi.org/10.1016/j.scitotenv.2020.139082 |
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