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Dueri, S.* ; Brown, H.* ; Asseng, S.* ; Ewert, F.* ; Webber, H.* ; George, M.* ; Craigie, R.* ; Guarin, J.R.* ; Pequeno, D.N.L.* ; Stella, T.* ; Ahmed, M.* ; Alderman, P.D.* ; Basso, B.* ; Berger, A.G.* ; Mujica, G.B.* ; Cammarano, D.* ; Chen, Y.* ; Dumont, B.* ; Rezaei, E.E.* ; Fereres, E.* ; Ferrise, R.* ; Gaiser, T.* ; Gao, Y.* ; Garcia-Vila, M.* ; Gayler, S.* ; Hochman, Z.* ; Hoogenboom, G.* ; Kersebaum, K.C.* ; Nendel, C.* ; Olesen, J.E.* ; Padovan, G.* ; Palosuo, T.* ; Priesack, E. ; Pullens, J.W.M.* ; Rodriguez, A.* ; Rötter, R.P.* ; Ramos, M.R.* ; Semenov, M.A.* ; Senapati, N.* ; Siebert, S.* ; Srivastava, A.K.* ; Stöckle, C.* ; Supit, I.* ; Tao, F.* ; Thorburn, P.* ; Wang, E.* ; Weber, T.K.D.* ; Xiao, L.* ; Zhao, C.* ; Zhao, J.* ; Zhao, Z.* ; Zhu, Y.* ; Martre, P.*

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

J. Exp. Bot. 73, 5715-5729 (2022)
Verlagsversion Forschungsdaten DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of a MME to capture crop response 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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Multi-model Ensemble ; New Zealand ; Sowing Date ; Sowing Density ; Tiller Mortality ; Tillering ; Wheat ; Yield Potential
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 0022-0957
e-ISSN 1460-2431
Zeitschrift Journal of Experimental Botany
Quellenangaben Band: 73, Heft: 16, Seiten: 5715-5729 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Environmental Simulation (EUS)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Environmental Sciences
PSP-Element(e) G-504912-001
DOI 10.1093/jxb/erac221
WOS ID WOS:000821975600001
PubMed ID 35728801
Erfassungsdatum 2022-09-27
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