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 551193
Title Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat
Author(s) Baumont, Maeva; Parent, Boris; Manceau, Loïc; Brown, Hamish E.; Driever, Steven M.; Muller, Bertrand; Martre, Pierre
Source Journal of Experimental Botany 70 (2019)9. - ISSN 0022-0957 - p. 2449 - 2462.
DOI https://doi.org/10.1093/jxb/erz012
Department(s) Centre for Crop Systems Analysis
Publication type Refereed Article in a scientific journal
Publication year 2019
Keyword(s) SiriusQuality - Carbon - crop model - daylength - leaf appearance rate - photoperiod - photothermal quotient - phyllochron - temperature - wheat
Abstract

Accurate predictions of the timing of physiological stages and the development rate are crucial for predicting crop performance under field conditions. Plant development is controlled by the leaf appearance rate (LAR) and our understanding of how LAR responds to environmental factors is still limited. Here, we tested the hypothesis that carbon availability may account for the effects of irradiance, photoperiod, atmospheric CO2 concentration, and ontogeny on LAR. We conducted three experiments in growth chambers to quantify and disentangle these effects for both winter and spring wheat cultivars. Variations of LAR observed between environmental scenarios were well explained by the supply/demand ratio for carbon, quantified using the photothermal quotient. We therefore developed an ecophysiological model based on the photothermal quotient that accounts for the effects of temperature, irradiance, photoperiod, and ontogeny on LAR. Comparisons of observed leaf stages and LAR with simulations from our model, from a linear thermal-time model, and from a segmented linear thermal-time model corrected for sowing date showed that our model can simulate the observed changes in LAR in the field with the lowest error. Our findings demonstrate that a hypothesis-driven approach that incorporates more physiology in specific processes of crop models can increase their predictive power under variable environments.

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