Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands
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 calibrati...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2023
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/130036 |
| _version_ | 1855525319360905216 |
|---|---|
| author | Berghuijs, Herman N.C. Silva, João Vasco Rijk, H. C. A. Ittersum, Martin K. van Evert, Frits K. van Reidsma, Pytrik |
| author_browse | Berghuijs, Herman N.C. Evert, Frits K. van Ittersum, Martin K. van Reidsma, Pytrik Rijk, H. C. A. Silva, João Vasco |
| author_facet | Berghuijs, Herman N.C. Silva, João Vasco Rijk, H. C. A. Ittersum, Martin K. van Evert, Frits K. van Reidsma, Pytrik |
| author_sort | Berghuijs, Herman N.C. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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 ha-1 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. |
| format | Journal Article |
| id | CGSpace130036 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1300362025-11-06T13:05:41Z Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands Berghuijs, Herman N.C. Silva, João Vasco Rijk, H. C. A. Ittersum, Martin K. van Evert, Frits K. van Reidsma, Pytrik crop modelling light phenology maximum sustainable yield triticum aestivum winter wheat 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 ha-1 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. 2023-05 2023-04-18T08:17:35Z 2023-04-18T08:17:35Z Journal Article https://hdl.handle.net/10568/130036 en Open Access application/pdf Elsevier Berghuijs, H. N. C., Silva, J. V., Rijk, H. C. A., van Ittersum, M. K., van Evert, F. K., & Reidsma, P. (2023). Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands. Field Crops Research, 296, 108891. https://doi.org/10.1016/j.fcr.2023.108891 |
| spellingShingle | crop modelling light phenology maximum sustainable yield triticum aestivum winter wheat Berghuijs, Herman N.C. Silva, João Vasco Rijk, H. C. A. Ittersum, Martin K. van Evert, Frits K. van Reidsma, Pytrik Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands |
| title | Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands |
| title_full | Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands |
| title_fullStr | Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands |
| title_full_unstemmed | Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands |
| title_short | Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands |
| title_sort | catching up with genetic progress simulation of potential production for modern wheat cultivars in the netherlands |
| topic | crop modelling light phenology maximum sustainable yield triticum aestivum winter wheat |
| url | https://hdl.handle.net/10568/130036 |
| work_keys_str_mv | AT berghuijshermannc catchingupwithgeneticprogresssimulationofpotentialproductionformodernwheatcultivarsinthenetherlands AT silvajoaovasco catchingupwithgeneticprogresssimulationofpotentialproductionformodernwheatcultivarsinthenetherlands AT rijkhca catchingupwithgeneticprogresssimulationofpotentialproductionformodernwheatcultivarsinthenetherlands AT ittersummartinkvan catchingupwithgeneticprogresssimulationofpotentialproductionformodernwheatcultivarsinthenetherlands AT evertfritskvan catchingupwithgeneticprogresssimulationofpotentialproductionformodernwheatcultivarsinthenetherlands AT reidsmapytrik catchingupwithgeneticprogresssimulationofpotentialproductionformodernwheatcultivarsinthenetherlands |