Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 560048
Title Biomarkers for grain yield stability in rice under drought stress
Author(s) Melandri, Giovanni; AbdElgawad, Hamada; Riewe, David; Hageman, Jos A.; Asard, Han; Beemster, Gerrit T.S.; Kadam, Niteen; Jagadish, Krishna; Altmann, Thomas; Ruyter-Spira, Carolien; Bouwmeester, Harro
Source Journal of Experimental Botany 71 (2020)2. - ISSN 0022-0957 - p. 669 - 683.
DOI https://doi.org/10.1093/jxb/erz221
Department(s) Laboratory of Plant Physiology
Mathematical and Statistical Methods - Biometris
Centre for Crop Systems Analysis
Publication type Refereed Article in a scientific journal
Publication year 2020
Keyword(s) Oryza sativa - Drought - leaf oxidative stress status - leaf primary metabolism - PLSR - reproductive stage
Abstract

Crop yield stability requires an attenuation of the reduction of yield losses caused by environmental stresses such as drought. Using a combination of metabolomics and high-throughput colorimetric assays, we analysed central metabolism and oxidative stress status in the flag leaf of 292 indica rice (Oryza sativa) accessions. Plants were grown in the field and were, at the reproductive stage, exposed to either well-watered or drought conditions to identify the metabolic processes associated with drought-induced grain yield loss. Photorespiration, protein degradation, and nitrogen recycling were the main processes involved in the drought-induced leaf metabolic reprogramming. Molecular markers of drought tolerance and sensitivity in terms of grain yield were identified using a multivariate model based on the values of the metabolites and enzyme activities across the population. The model highlights the central role of the ascorbate-glutathione cycle, particularly dehydroascorbate reductase, in minimizing drought-induced grain yield loss. In contrast, malondialdehyde was an accurate biomarker for grain yield loss, suggesting that drought-induced lipid peroxidation is the major constraint under these conditions. These findings highlight new breeding targets for improved rice grain yield stability under drought.

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