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Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress
Drought stress is a major issue impacting wheat growth and yield worldwide, and it is getting worse as the world’s climate changes. Thus, selection for drought-adaptive traits and drought-tolerant genotypes are essential components in wheat breeding programs. The goal of this study was to explore ho...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703988/ https://www.ncbi.nlm.nih.gov/pubmed/36452074 http://dx.doi.org/10.7717/peerj.14421 |
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author | Mohi-Ud-Din, Mohammed Hossain, Md. Alamgir Rohman, Md. Motiar Uddin, Md. Nesar Haque, Md. Sabibul Ahmed, Jalal Uddin Abdullah, Hasan Muhammad Hossain, Mohammad Anwar Pessarakli, Mohammad |
author_facet | Mohi-Ud-Din, Mohammed Hossain, Md. Alamgir Rohman, Md. Motiar Uddin, Md. Nesar Haque, Md. Sabibul Ahmed, Jalal Uddin Abdullah, Hasan Muhammad Hossain, Mohammad Anwar Pessarakli, Mohammad |
author_sort | Mohi-Ud-Din, Mohammed |
collection | PubMed |
description | Drought stress is a major issue impacting wheat growth and yield worldwide, and it is getting worse as the world’s climate changes. Thus, selection for drought-adaptive traits and drought-tolerant genotypes are essential components in wheat breeding programs. The goal of this study was to explore how spectral reflectance indices (SRIs) and yield traits in wheat genotypes changed in irrigated and water-limited environments. In two wheat-growing seasons, we evaluated 56 preselected wheat genotypes for SRIs, stay green (SG), canopy temperature depression (CTD), biological yield (BY), grain yield (GY), and yield contributing traits under control and drought stress, and the SRIs and yield traits exhibited higher heritability (H(2)) across the growing years. Diverse SRIs associated with SG, pigment content, hydration status, and aboveground biomass demonstrated a consistent response to drought and a strong association with GY. Under drought stress, GY had stronger phenotypic correlations with SG, CTD, and yield components than in control conditions. Three primary clusters emerged from the hierarchical cluster analysis, with cluster I (15 genotypes) showing minimal changes in SRIs and yield traits, indicating a relatively higher level of drought tolerance than clusters II (26 genotypes) and III (15 genotypes). The genotypes were appropriately assigned to distinct clusters, and linear discriminant analysis (LDA) demonstrated that the clusters differed significantly. It was found that the top five components explained 73% of the variation in traits in the principal component analysis, and that vegetation and water-based indices, as well as yield traits, were the most important factors in explaining genotypic drought tolerance variation. Based on the current study’s findings, it can be concluded that proximal canopy reflectance sensing could be used to screen wheat genotypes for drought tolerance in water-starved environments. |
format | Online Article Text |
id | pubmed-9703988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97039882022-11-29 Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress Mohi-Ud-Din, Mohammed Hossain, Md. Alamgir Rohman, Md. Motiar Uddin, Md. Nesar Haque, Md. Sabibul Ahmed, Jalal Uddin Abdullah, Hasan Muhammad Hossain, Mohammad Anwar Pessarakli, Mohammad PeerJ Agricultural Science Drought stress is a major issue impacting wheat growth and yield worldwide, and it is getting worse as the world’s climate changes. Thus, selection for drought-adaptive traits and drought-tolerant genotypes are essential components in wheat breeding programs. The goal of this study was to explore how spectral reflectance indices (SRIs) and yield traits in wheat genotypes changed in irrigated and water-limited environments. In two wheat-growing seasons, we evaluated 56 preselected wheat genotypes for SRIs, stay green (SG), canopy temperature depression (CTD), biological yield (BY), grain yield (GY), and yield contributing traits under control and drought stress, and the SRIs and yield traits exhibited higher heritability (H(2)) across the growing years. Diverse SRIs associated with SG, pigment content, hydration status, and aboveground biomass demonstrated a consistent response to drought and a strong association with GY. Under drought stress, GY had stronger phenotypic correlations with SG, CTD, and yield components than in control conditions. Three primary clusters emerged from the hierarchical cluster analysis, with cluster I (15 genotypes) showing minimal changes in SRIs and yield traits, indicating a relatively higher level of drought tolerance than clusters II (26 genotypes) and III (15 genotypes). The genotypes were appropriately assigned to distinct clusters, and linear discriminant analysis (LDA) demonstrated that the clusters differed significantly. It was found that the top five components explained 73% of the variation in traits in the principal component analysis, and that vegetation and water-based indices, as well as yield traits, were the most important factors in explaining genotypic drought tolerance variation. Based on the current study’s findings, it can be concluded that proximal canopy reflectance sensing could be used to screen wheat genotypes for drought tolerance in water-starved environments. PeerJ Inc. 2022-11-25 /pmc/articles/PMC9703988/ /pubmed/36452074 http://dx.doi.org/10.7717/peerj.14421 Text en © 2022 Mohi-Ud-Din et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Agricultural Science Mohi-Ud-Din, Mohammed Hossain, Md. Alamgir Rohman, Md. Motiar Uddin, Md. Nesar Haque, Md. Sabibul Ahmed, Jalal Uddin Abdullah, Hasan Muhammad Hossain, Mohammad Anwar Pessarakli, Mohammad Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress |
title | Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress |
title_full | Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress |
title_fullStr | Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress |
title_full_unstemmed | Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress |
title_short | Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress |
title_sort | canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress |
topic | Agricultural Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703988/ https://www.ncbi.nlm.nih.gov/pubmed/36452074 http://dx.doi.org/10.7717/peerj.14421 |
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