Predicting dark respiration rates of wheat leaves from hyperspectral reflectance

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dc.contributor.authorCoast, Onoriode
dc.contributor.authorShah, Shahen
dc.contributor.authorIvakov, Alexander
dc.contributor.authorGaju, Oorbessy
dc.contributor.authorWilson, Pip
dc.contributor.authorPosch, Bradley
dc.contributor.authorBryant, Callum
dc.contributor.authorNegrini, Ana
dc.contributor.authorEvans, John
dc.contributor.authorCondon, Anthony
dc.contributor.authorSilva-Pérez, Viridiana
dc.contributor.authorReynolds, Matthew P.
dc.contributor.authorPogson, Barry
dc.contributor.authorMillar, A Harvey
dc.contributor.authorFurbank, Robert
dc.contributor.authorAtkin, Owen
dc.date.accessioned2020-02-28T03:02:13Z
dc.date.issued2019
dc.date.updated2019-11-25T07:37:36Z
dc.description.abstractGreater availability of leaf dark respiration (Rdark) data could facilitate breeding efforts to raise crop yield and improve global carbon cycle modelling. However, the availability of Rdark data is limited because it is cumbersome, time consuming, or destructive to measure. We report a non‐destructive and high‐throughput method of estimating Rdark from leaf hyperspectral reflectance data that was derived from leaf Rdark measured by a destructive high‐throughput oxygen consumption technique. We generated a large dataset of leaf Rdark for wheat (1380 samples) from 90 genotypes, multiple growth stages, and growth conditions to generate models for Rdark. Leaf Rdark (per unit leaf area, fresh mass, dry mass or nitrogen, N) varied 7‐ to 15‐fold among individual plants, whereas traits known to scale with Rdark, leaf N, and leaf mass per area (LMA) only varied twofold to fivefold. Our models predicted leaf Rdark, N, and LMA with r2 values of 0.50–0.63, 0.91, and 0.75, respectively, and relative bias of 17–18% for Rdark and 7–12% for N and LMA. Our results suggest that hyperspectral model prediction of wheat leaf Rdark is largely independent of leaf N and LMA. Potential drivers of hyperspectral signatures of Rdark are discussed.en_AU
dc.description.sponsorshipThis work was supported by grants from the ARC Centre of Excellence in Plant Energy Biology (CE140100008), the ARC Centre of Excellence for Translational Photosynthesis (CE1401000015), the Australian Government National Collaborative Research Infrastructure Strategy (Australian Plant Phenomics Facility) – PIEPS grant, the International Wheat Yield Partnership and Grains Research Development Council Grant (ANU00027). We acknowledge the Endeavour Fellowship awarded to S.S. for which part of this research was developed.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0140-7791en_AU
dc.identifier.urihttp://hdl.handle.net/1885/201959
dc.language.isoen_AUen_AU
dc.provenancehttp://sherpa.ac.uk/romeo/issn/0140-7791/..."author can archive post-print (ie final draft post-refereeing). 12 months embargo" from SHERPA/RoMEO site (as at 03/03/2020). This is the peer reviewed version of the following article: [Coast, Onoriode, et al. "Predicting dark respiration rates of wheat leaves from hyperspectral reflectance." Plant, cell & environment 42.7 (2019): 2133-2150.], which has been published in final form at [https://dx.doi.org/10.1111/pce.13544]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
dc.publisherWileyen_AU
dc.relationhttp://purl.org/au-research/grants/arc/CE1401000015en_AU
dc.relationhttp://purl.org/au-research/grants/arc/CE140100008en_AU
dc.rights© 2019 John Wiley & Sons Ltden_AU
dc.sourcePlant Cell and Environmenten_AU
dc.titlePredicting dark respiration rates of wheat leaves from hyperspectral reflectanceen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Access
local.bibliographicCitation.issue7en_AU
local.bibliographicCitation.lastpage2150en_AU
local.bibliographicCitation.startpage2133en_AU
local.contributor.affiliationCoast, Onoriode, College of Science, ANUen_AU
local.contributor.affiliationShah, Shahen, College of Science, ANUen_AU
local.contributor.affiliationIvakov, Alexander, College of Science, ANUen_AU
local.contributor.affiliationGaju, Oorbessy, College of Science, ANUen_AU
local.contributor.affiliationWilson, Philippa, College of Science, ANUen_AU
local.contributor.affiliationPosch, Bradley, College of Science, ANUen_AU
local.contributor.affiliationBryant, Callum, College of Science, ANUen_AU
local.contributor.affiliationNegrini, Ana, College of Science, ANUen_AU
local.contributor.affiliationEvans, John, College of Science, ANUen_AU
local.contributor.affiliationCondon, Anthony, College of Science, ANUen_AU
local.contributor.affiliationSilva-Perez, Viridiana, College of Science, ANUen_AU
local.contributor.affiliationReynolds, Matthew P., International Maize and Wheat Improvement Center (CIMMYT)en_AU
local.contributor.affiliationPogson, Barry, College of Science, ANUen_AU
local.contributor.affiliationMillar, A Harvey , University of Western Australiaen_AU
local.contributor.affiliationFurbank, Robert, College of Science, ANUen_AU
local.contributor.affiliationAtkin, Owen, College of Science, ANUen_AU
local.contributor.authoremailu4110553@anu.edu.auen_AU
local.contributor.authoruidCoast, Onoriode, u1032200en_AU
local.contributor.authoruidShah, Shahen, u1023833en_AU
local.contributor.authoruidIvakov, Alexander, u4110553en_AU
local.contributor.authoruidGaju, Oorbessy, u1034646en_AU
local.contributor.authoruidWilson, Philippa, u4052775en_AU
local.contributor.authoruidPosch, Bradley, u5183342en_AU
local.contributor.authoruidBryant, Callum, u5809278en_AU
local.contributor.authoruidNegrini, Ana, u4471850en_AU
local.contributor.authoruidEvans, John, u8802050en_AU
local.contributor.authoruidCondon, Anthony, u3669900en_AU
local.contributor.authoruidSilva-Perez, Viridiana, u5073085en_AU
local.contributor.authoruidPogson, Barry, u9912751en_AU
local.contributor.authoruidFurbank, Robert, u1572217en_AU
local.contributor.authoruidAtkin, Owen, u1555251en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor070303 - Crop and Pasture Biochemistry and Physiologyen_AU
local.identifier.absfor070302 - Agronomyen_AU
local.identifier.absseo820507 - Wheaten_AU
local.identifier.ariespublicationu3102795xPUB3281en_AU
local.identifier.citationvolume42en_AU
local.identifier.doi10.1111/pce.13544en_AU
local.identifier.scopusID2-s2.0-85063583746
local.identifier.uidSubmittedByu3102795en_AU
local.publisher.urlhttps://www.wiley.com/en-gben_AU
local.type.statusAccepted Versionen_AU

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