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Author |
De Swaef, T.; Bellocchi, G.; Aper, J.; Lootens, P.; Roldan-Ruiz, I. |
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Title  |
Use of identifiability analysis in designing phenotyping experiments for modelling forage production and quality |
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Journal Article |
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Year |
2019 |
Publication |
Journal of Experimental Botany |
Abbreviated Journal |
J. Experim. Bot. |
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Volume |
70 |
Issue |
9 |
Pages |
2587-2604 |
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Keywords |
Breeding; grassland modelling; identifiability analysis; perennial; ryegrass; phenotyping; sensitivity analysis; pasture simulation-model; practical identifiability; crop; water; parameters; systems; carbon; uncertainty; sensitivity; emissions |
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Abstract |
Agricultural systems models are complex and tend to be over-parameterized with respect to observational datasets. Practical identifiability analysis based on local sensitivity analysis has proved effective in investigating identifiable parameter sets in environmental models, but has not been applied to agricultural systems models. Here, we demonstrate that identifiability analysis improves experimental design to ensure independent parameter estimation for yield and quality outputs of a complex grassland model. The Pasture Simulation model (PaSim) was used to demonstrate the effectiveness of practical identifiability analysis in designing experiments and measurement protocols within phe-notyping experiments with perennial ryegrass. Virtual experiments were designed combining three factors: frequency of measurements, duration of the experiment. and location of trials. Our results demonstrate that (i) PaSim provides sufficient detail in terms of simulating biomass yield and quality of perennial ryegrass for use in breeding, (ii) typical breeding trials are insufficient to parameterize all influential parameters, (iii) the frequency of measurements is more important than the number of growing seasons to improve the identifiability of PaSim parameters, and (iv) identifiability analysis provides a sound approach for optimizing the design of multi-location trials. Practical identifiability analysis can play an important role in ensuring proper exploitation of phenotypic data and cost-effective multi-location experimental designs. Considering the growing importance of simulation models, this study supports the design of experiments and measurement protocols in the phenotyping networks that have recently been organized. |
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2020-02-14 |
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English |
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0022-0957 |
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LiveM, ft_macsur |
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MA @ admin @ |
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5231 |
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Author |
Wallach, D.; Mearns, L.O.; Asseng, S.; Rötter, R.P. |
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Title |
Using ensembles of models in climate and crop modelling |
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Conference Article |
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Year |
2014 |
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CropM |
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XIII ESA congress, Debrecen, Hungary, 2014-08-25 to 2014-08-29 |
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MA @ admin @ |
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2893 |
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Author |
Ferrise, R.; Moriondo, M.; Pasqui, M.; Toscano, P.; Semenov, M.A.; Bindi, M. |
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Title |
Using seasonal forecasts for predicting durum wheat yield over the Mediterranean Basin |
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Conference Article |
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2014 |
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CropM |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
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MA @ admin @ |
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2436 |
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Author |
Semenov, M.A.; Pilkington-Bennett, S. |
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Title |
Validation of ELPIS baseline scenarios using ECA&D observed data |
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Conference Article |
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Year |
2012 |
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4151-4152 |
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CropM |
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Geophysical Research Abstracts |
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14 |
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European GeoSciences Union (EGU), General Assembly 2012, 2012-04-22 to 2012-04-27 |
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MA @ admin @ |
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2820 |
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Author |
Conradt, T.; Koch, H.; Hattermann, F.F.; Wechsung, F.; Hartje, V.; Kaden, S.; Venohr, M.; Hansjürgens, B.; Gräfe, P. |
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Title |
Validierung von Lokalkorrekturen der Verdunstung bei den Simulationen des Wasserabflusses |
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Book Chapter |
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2013 |
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211-231 |
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CropM |
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Weißensee Verl. |
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Berlin |
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Wechsung, F.; Hartje, V.; Kaden, S.; Venohr, M.; Hansjürgens, B.; Gräfe, P. |
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Die Elbe im globalen Wandel |
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MA @ admin @ |
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2367 |
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