4.7 Article

Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands

Journal

FIELD CROPS RESEARCH
Volume 296, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.fcr.2023.108891

Keywords

LINTUL3; Crop model; Light use efficiency; Triticum aestivum; Potential yield; Winter wheat; Phenology

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This study examines the increase in winter wheat yield in the Netherlands from 1984 to 2015 and identifies the factors that contribute to this increase. The research finds that approximately half of the yield increase can be attributed to climate change and elevated CO2 levels, while the remaining portion is explained by changes in temperature and light use efficiency.
Context: Wheat crop growth models from all over the world have been calibrated on the Groot and Verberne (1991) data set, collected between 1982 and 1984 in the Netherlands, in at least 28 published studies to date including various recent ones. However, the recent use of this data set for calibration of potential yield is questionable as actual Dutch winter wheat yields increased by 3.1 Mg ha1 over the period 1984 - 2015. A new comprehensive set of winter wheat experiments, suitable for crop model calibration, was conducted in Wageningen during the growing seasons of 2013-2014 and of 2014-2015.Objective: The present study aimed to quantify the change of winter wheat variety traits between 1984 and 2015 and to examine which of the identified traits explained the increase in wheat yield most.Methods: PCSE-LINTUL3 was calibrated on the Groot and Verberne data (1991) set. Next, it was evaluated on the 2013-2015 data set. The model was further recalibrated on the 2013-2015 data set. Parameter values of both calibrations were compared. Sensitivity analysis was used to assess to what extent climate change, elevated CO2, changes in sowing dates, and changes in cultivar traits could explain yield increases. Results: The estimated reference light use efficiency and the temperature sum from anthesis to maturity were higher in 2013-2015 than in 1982-1984. PCSE-LINTUL3, calibrated on the 1982-1984 data set, underestimated the yield potential of 2013-2015. Sensitivity analyses showed that about half of the simulated winter wheat yield increase between 1984 and 2015 in the Netherlands was explained by elevated CO2 and climate change. The remaining part was explained by the increased temperature sum from anthesis to maturity and, to a smaller extent, by changes in the reference light use efficiency. Changes in sowing dates, biomass partitioning fractions, thermal requirements for anthesis, and biomass reallocation did not explain the yield increase.Conclusion: Recalibration of PCSE-LINTUL3 was necessary to reproduce the high wheat yields currently obtained in the Netherlands. About half of the reported winter wheat yield increase was attributed to climate change and elevated CO2. The remaining part of the increase was attributed to changes in the temperature sum from anthesis to maturity and, to a lesser extent, the reference light use efficiency. Significance: This study systematically addressed to what extent changes in various cultivar traits, climate change, and elevated CO2 can explain the winter wheat yield increase observed in the Netherlands between 1984 and 2015.

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