Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment

Bibliographische Detailangaben
Veröffentlicht in:	Journal of experimental botany. - 1985. - 73(2022), 16 vom: 12. Sept., Seite 5715-5729
1. Verfasser:	Dueri, Sibylle (VerfasserIn)
Weitere Verfasser:	Brown, Hamish, Asseng, Senthold, Ewert, Frank, Webber, Heidi, George, Mike, Craigie, Rob, Guarin, Jose Rafael, Pequeno, Diego N L, Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip D, Basso, Bruno, Berger, Andres G, Mujica, Gennady Bracho, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, Garcia-Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Kersebaum, Kurt C, Nendel, Claas, Olesen, Jørgen E, Padovan, Gloria, Palosuo, Taru, Priesack, Eckart, Pullens, Johannes W M, Rodríguez, Alfredo, Rötter, Reimund P, Ramos, Margarita Ruiz, Semenov, Mikhail A, Senapati, Nimai, Siebert, Stefan, Srivastava, Amit Kumar, Stöckle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias Karl David, Xiao, Liujun, Zhao, Chuang, Zhao, Jin, Zhao, Zhigan, Zhu, Yan, Martre, Pierre
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	Journal of experimental botany
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't Multi-model ensemble sowing date sowing density tiller mortality tillering wheat yield potential

Beschreibung
Zusammenfassung:	© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Experimental Biology. Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of MME to capture crop responses to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to climate change. Here, we explore the performance of a MME of 29 wheat crop models to predict the effect of changing sowing dates and rates on yield and yield components, on two sites located in a high-yielding environment in New Zealand. The experiment was conducted for 6 years and provided 50 combinations of sowing date, sowing density and growing season. We show that the MME simulates seasonal growth of wheat well under standard sowing conditions, but fails under early sowing and high sowing rates. The comparison between observed and simulated in-season fraction of intercepted photosynthetically active radiation (FIPAR) for early sown wheat shows that the MME does not capture the decrease of crop above ground biomass during winter months due to senescence. Models need to better account for tiller competition for light, nutrients, and water during vegetative growth, and early tiller senescence and tiller mortality, which are exacerbated by early sowing, high sowing densities, and warmer winter temperatures
Beschreibung:	Date Completed 14.09.2022 Date Revised 04.09.2024 published: Print Citation Status MEDLINE
ISSN:	1460-2431
DOI:	10.1093/jxb/erac221