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dc.contributor.authorMohi-Ud-Din, M.
dc.contributor.authorHossain, Md.A.
dc.contributor.authorRohman, Md.M.
dc.contributor.authorUddin, Md.N.
dc.contributor.authorHaque, Md.S.
dc.contributor.authorAhmed, J.U.
dc.contributor.authorAbdullah, H.M.
dc.contributor.authorHossain, M.A.
dc.contributor.authorPessarakli, M.
dc.date.accessioned2023-12-21T18:45:53Z
dc.date.available2023-12-21T18:45:53Z
dc.date.issued2022-11-25
dc.identifier.citationMohi-Ud-Din, M., Hossain, M. A., Rohman, M. M., Uddin, M. N., Haque, M. S., Ahmed, J. U., ... & Pessarakli, M. (2022). Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress. PeerJ, 10, e14421.
dc.identifier.issn2167-8359
dc.identifier.doi10.7717/peerj.14421
dc.identifier.urihttp://hdl.handle.net/10150/670416
dc.description.abstractDrought 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 (H2) 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. Copyright 2022 Mohi-Ud-Din et al.
dc.language.isoen
dc.publisherPeerJ Inc.
dc.rights© 2022 Mohi-Ud-Din et al. Distributed under Creative Commons CC-BY 4.0.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCanopy temperature depression
dc.subjectMultispectral vegetation indices
dc.subjectMultivariate analyses
dc.subjectPhenotyping
dc.subjectStay green
dc.titleCanopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress
dc.typeArticle
dc.typetext
dc.contributor.departmentSchool of Plant Sciences, The University of Arizona
dc.identifier.journalPeerJ
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitlePeerJ
refterms.dateFOA2023-12-21T18:45:53Z


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© 2022 Mohi-Ud-Din et al. Distributed under Creative Commons CC-BY 4.0.
Except where otherwise noted, this item's license is described as © 2022 Mohi-Ud-Din et al. Distributed under Creative Commons CC-BY 4.0.