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High-throughput phenotyping of physiological traits for wheat resilience to high temperature and drought stress
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SYSNO ASEP 0561388 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title High-throughput phenotyping of physiological traits for wheat resilience to high temperature and drought stress Author(s) Correia, P. M. P. (PT)
Westergaard, J. C. (DK)
da Silva, A. B. (PT)
Roitsch, Thomas (UEK-B) RID, ORCID, SAI
Carmo-Silva, E. (GB)
da Silva, J. M. (PT)Number of authors 6 Source Title Journal of Experimental Botany. - : Oxford University Press - ISSN 0022-0957
Roč. 73, č. 15 (2022), s. 5235-5251Number of pages 17 s. Language eng - English Country GB - United Kingdom Keywords Carbohydrate metabolism ; climate change ; drought resilience ; food security ; high temperature ; high-throughput plant phenotyping ; multispectral imaging ; Triticum aestivum ; water deficit ; wheat Subject RIV EF - Botanics OECD category Plant sciences, botany R&D Projects LO1415 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Research Infrastructure CzeCOS III - 90123 - Ústav výzkumu globální změny AV ČR, v. v. i. Method of publishing Open access Institutional support UEK-B - RVO:86652079 UT WOS 000813474400001 EID SCOPUS 85144731827 DOI 10.1093/jxb/erac160 Annotation Interannual and local fluctuations in wheat crop yield are mostly explained by abiotic constraints. Heatwaves and drought, which are among the top stressors, commonly co-occur, and their frequency is increasing with global climate change. High-throughput methods were optimized to phenotype wheat plants under controlled water deficit and high temperature, with the aim to identify phenotypic traits conferring adaptative stress responses. Wheat plants of 10 genotypes were grown in a fully automated plant facility under 25/18 degrees C day/night for 30 d, and then the temperature was increased for 7 d (38/31 degrees C day/night) while maintaining half of the plants well irrigated and half at 30% field capacity. Thermal and multispectral images and pot weights were registered twice daily. At the end of the experiment, key metabolites and enzyme activities from carbohydrate and antioxidant metabolism were quantified. Regression machine learning models were successfully established to predict plant biomass using image-extracted parameters. Evapotranspiration traits expressed significant genotype-environment interactions (GxE) when acclimatization to stress was continuously monitored. Consequently, transpiration efficiency was essential to maintain the balance between water-saving strategies and biomass production in wheat under water deficit and high temperature. Stress tolerance included changes in carbohydrate metabolism, particularly in the sucrolytic and glycolytic pathways, and in antioxidant metabolism. The observed genetic differences in sensitivity to high temperature and water deficit can be exploited in breeding programmes to improve wheat resilience to climate change. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2023 Electronic address https://academic.oup.com/jxb/article/73/15/5235/6572012?login=true
Number of the records: 1