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Lauterberg-Front Plant Sci-2022.pdf 2,81MB
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1000 Titel
  • Precision phenotyping across the life cycle to validate and decipher drought-adaptive QTLs of wild emmer wheat (Triticum turgidum ssp. dicoccoides) introduced into elite wheat varieties
1000 Autor/in
  1. Lauterberg, Madita |
  2. Saranga, Yehoshua |
  3. Deblieck, Mathieu |
  4. Klukas, Christian |
  5. Krugman, Tamar |
  6. Perovic, Dragan |
  7. Ordon, Frank |
  8. Graner, Andreas |
  9. Neumann, Kerstin |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-10-12
1000 Erschienen in
1000 Quellenangabe
  • 13:965287
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://dx.doi.org/10.3389/fpls.2022.965287 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598872/ |
1000 Ergänzendes Material
  • https://www.frontiersin.org/articles/10.3389/fpls.2022.965287/full#supplementary-material |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Drought events or the combination of drought and heat conditions are expected to become more frequent due to global warming, and wheat yields may fall below their long-term average. One way to increase climate-resilience of modern high-yielding varieties is by their genetic improvement with beneficial alleles from crop wild relatives. In the present study, the effect of two beneficial QTLs introgressed from wild emmer wheat and incorporated in the three wheat varieties BarNir, Zahir and Uzan was studied under well-watered conditions and under drought stress using non-destructive High-throughput Phenotyping (HTP) throughout the life cycle in a single pot-experiment. Plants were daily imaged with RGB top and side view cameras and watered automatically. Further, at two time points, the quantum yield of photosystem II was measured with a top view FluorCam. The QTL carrying near isogenic lines (NILs) were compared with their corresponding parents by t-test for all non-invasively obtained traits and for the manually determined agronomic and yield parameters. Data quality of phenotypic traits (repeatability) in the controlled HTP experiment was above 85% throughout the life cycle and at maturity. Drought stress had a strong effect on growth in all wheat genotypes causing biomass reduction from 2% up to 70% at early and late points in the drought period, respectively. At maturity, the drought caused 47–55% decreases in yield-related traits grain weight, straw weight and total biomass and reduced TKW by 10%, while water use efficiency (WUE) increased under drought by 29%. The yield-enhancing effect of the introgressed QTLs under drought conditions that were previously demonstrated under field/screenhouse conditions in Israel, could be mostly confirmed in a greenhouse pot experiment using HTP. Daily precision phenotyping enabled to decipher the mode of action of the QTLs in the different genetic backgrounds throughout the entire wheat life cycle. Daily phenotyping allowed a precise determination of the timing and size of the QTLs effect (s) and further yielded information about which image-derived traits are informative at which developmental stage of wheat during the entire life cycle. Maximum height and estimated biovolume were reached about a week after heading, so experiments that only aim at exploring these traits would not need a longer observation period. To obtain information on different onset and progress of senescence, the CVa curves represented best the ongoing senescence of plants. The QTL on 7A in the BarNir background was found to improve yield under drought by increased biomass growth, a higher photosynthetic performance, a higher WUE and a “stay green effect.”
1000 Sacherschließung
lokal stay-green effect
lokal near-isogenic lines
lokal high-throughput phenotyping
lokal stay green
lokal drought resilience
lokal wild emmer wheat
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-9332-157X|https://orcid.org/0000-0002-1182-8730|https://frl.publisso.de/adhoc/uri/RGVibGllY2ssIE1hdGhpZXU=|https://orcid.org/0000-0001-7956-0294|https://orcid.org/0000-0002-0339-8515|https://orcid.org/0000-0002-0292-1693|https://orcid.org/0000-0002-1695-6395|https://orcid.org/0000-0003-3246-6393|https://orcid.org/0000-0001-7451-7086
1000 Label
1000 Förderer
  1. Israel Ministry of Agriculture and Rural Development, Chief Scientist Foundation |
  2. Bundesministerium für Ernährung und Landwirtschaft |
  3. Horizon 2020 Framework Programme |
1000 Fördernummer
  1. 837-0079-10; 837-0162-14
  2. FKZ2813IL03
  3. 952339
1000 Förderprogramm
  1. -
  2. -
  3. STARGATE
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Israel Ministry of Agriculture and Rural Development, Chief Scientist Foundation |
    1000 Förderprogramm -
    1000 Fördernummer 837-0079-10; 837-0162-14
  2. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Ernährung und Landwirtschaft |
    1000 Förderprogramm -
    1000 Fördernummer FKZ2813IL03
  3. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 Framework Programme |
    1000 Förderprogramm STARGATE
    1000 Fördernummer 952339
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6438194.rdf
1000 Erstellt am 2022-10-28T15:14:47.778+0200
1000 Erstellt von 325
1000 beschreibt frl:6438194
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Thu Nov 17 11:06:00 CET 2022
1000 Objekt bearb. Thu Nov 17 11:05:44 CET 2022
1000 Vgl. frl:6438194
1000 Oai Id
  1. oai:frl.publisso.de:frl:6438194 |
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