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Adapting wheat in Europe for climate changeNorth-South divide: contrasting impacts of climate change on crop yields in Scotland and EnglandCrop responses to climatic variationWarming-induced shift in European mushroom fruiting phenology.A process-based approach to predicting the effect of climate change on the distribution of an invasive allergenic plant in Europe.Multimodel ensembles of wheat growth: many models are better than one.Heat tolerance around flowering in wheat identified as a key trait for increased yield potential in Europe under climate change.Climate Change and Future Pollen Allergy in EuropeClimate forcing of an emerging pathogenic fungus across a montane multi-host community.Impacts of climate change on wheat in England and Wales.Range and severity of a plant disease increased by global warming.Identifying target traits and molecular mechanisms for wheat breeding under a changing climate.Climate change affects winter chill for temperate fruit and nut treesELPIS-JP: a dataset of local-scale daily climate change scenarios for JapanAn individual-based model of the evolution of pesticide resistance in heterogeneous environments: control of Meligethes aeneus population in oilseed rape crops.In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management.Adaptation options for wheat in Europe will be limited by increased adverse weather events under climate change.An objective approach to model reduction: Application to the Sirius wheat model.Temporally and Genetically Discrete Periods of Wheat Sensitivity to High TemperatureModelling predicts that heat stress, not drought, will increase vulnerability of wheat in Europe.Use of an individual-based simulation model to explore and evaluate potential insecticide resistance management strategies.The uncertainty of crop yield projections is reduced by improved temperature response functions.Reply to Gange et al.: Climate-driven changes in the fungal fruiting season in the United Kingdom.Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments.Analysis of convergence of an evolutionary algorithm with self-adaptation using a stochastic Lyapunov function.Corrigendum for the paper ‘North–South divide: contrasting impacts of climate change on crop yields in Scotland and England’.Climate change and spring-fruiting fungiMaize yields over Europe may increase in spite of climate change, with an appropriate use of the genetic variability of flowering timeDiverging importance of drought stress for maize and winter wheat in EuropeHow does inter-annual variability of attainable yield affect the magnitude of yield gaps for wheat and maize? An analysis at ten sitesImplications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendationsMultimodel ensembles improve predictions of crop-environment-management interactionsModelling climate change impacts on crop production for food securityTransient responses to increasing CO2 and climate change in an unfertilized grass–clover swardSimplifying Sirius: sensitivity analysis and development of a meta-model for wheat yield predictionEffect of using different methods in the construction of climate change scenarios: examples from EuropeA serial approach to local stochastic weather modelsAnalysis of mathematical principles in crop growth simulation modelsClimate change impact and adaptation for wheat proteinGlobal wheat production with 1.5 and 2.0°C above pre‐industrial warming
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P50
description
researcher, ORCID id # 0000-0002-1561-7113
@en
wetenschapper
@nl
name
Mikhail Semenov
@ast
Mikhail Semenov
@en
Mikhail Semenov
@es
Mikhail Semenov
@nl
type
label
Mikhail Semenov
@ast
Mikhail Semenov
@en
Mikhail Semenov
@es
Mikhail Semenov
@nl
prefLabel
Mikhail Semenov
@ast
Mikhail Semenov
@en
Mikhail Semenov
@es
Mikhail Semenov
@nl
P108
P106
P31
P496
0000-0002-1561-7113