Mikhail Semenov

Name	Mikhail Semenov
Job title	Principal Research Scientist - Crop Modeller
Email address	mikhail.semenov@rothamsted.ac.uk
Department	Sustainable Soils and Crops
Research cluster	PS: Crop Productivity and Quality
ORCID	https://orcid.org/0000-0002-1561-7113
Preferred citation	Semenov, M. A.
Office	Harpenden

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Research outputs

A dataset of CMIP6-based climate scenarios for climate change impact assessment in Great Britain

Semenov, M. A., Senapati, N., Coleman, K. and Collins, A. L. 2024. A dataset of CMIP6-based climate scenarios for climate change impact assessment in Great Britain. Data in Brief. 55 (4 July), p. 110709. https://doi.org/10.1016/j.dib.2024.110709

Effects of changes in climatic means, variability, and agro-technologies on future wheat and maize yields at 10 sites across the globe

Bracho-Mujica, G., Rotter, R. P., Haakana, M., Palosuo, T., Fronzek, S., Asseng, S., Yi, C., Ewert, F., Gaiser, T., Kassie, B., Paff, K., Rezaei, E. E., Rodriguez, A., Ruiz-Ramos, M., Srivastava, A. K., Stratonovitch, P., Tao, F. and Semenov, M. A. 2024. Effects of changes in climatic means, variability, and agro-technologies on future wheat and maize yields at 10 sites across the globe. Agricultural and Forest Meteorology. 364 (March), p. 109887. https://doi.org/10.1016/j.agrformet.2024.109887

Climate-induced decline in the quality and quantity of European hops calls for immediate adaptation measures

Mozny, M., Trnka, M., Vlach, V., Zalud, Z., Cejka, T., Hajkova, L., Potopova, V., Semenov, M. A., Semeradova, D. and Buntgen, U. 2023. Climate-induced decline in the quality and quantity of European hops calls for immediate adaptation measures. Nature Communications. 14, p. 6028. https://doi.org/10.1038/s41467-023-41474-5

A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations

Guarin, J. R., Martre, P., Ewert, F., Webber, H., Dueri, S., Calderini, D., Reynolds, M., Molero, G., Miralles, D., Slafer, G. A., Giunta, F., Pequano, D. N. L., Stella, T., Ahmed, M., Alerman, P. D., Basso, B., Berger, A. G., Bindi, M., Bracho-Mujica, G., 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., Hunt, L. A., Kersebaum, K. C., Nendel, C., Olesen, J. E., Palosuo, T., Priesack, E., Pullens, J. W. M., Rodriguez ,A., Rotter, R. P., Ruiz Ramos, M., Semenov, M. A., Senapati, N., Siebert,S., Srivastava, A. K., Stockle, C., Supit, I., Tao, F., Thorburn, P., Wang, E., Weber, T. K. D., Xiao, L., Zhang, Z., Zhao, C., Zhao, J., Zhao, Z., Zhu, Y. and Asseng, S. 2023. A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations. Open Data Journal for Agricultural Research (ODjAR). 9, pp. 26-33. https://doi.org/10.18174/odjar.v9i0.18573

AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat, SDATA-20-01059

Liu, B., Martre, P., Ewert, F., Webber, H., Waha, K., Thorburn, P. J., Ruane, A. C., Aggarwal, P. K., Ahmed, M., Balkovic, J., Basso, B., Biernath, C., Bindi, M., Cammarano, D., Cao, W., Challinor, A. J., De Sanctis, G., Dumont, B., Espadafor, M., Rezaei, E. E., Fereres, E., Ferrise,. R., Garcia-Vila, M., Gao, Y., Horan, H., Hoogenboom, G., Izaurralde, R. C., Jabloun, M., Jones, C. D., Kassie, B. T., Kersebaum, K. C., Klein, C., Koehler ,A.-K., Maiorano, A., Minoli. S., San Martin, M. M., Muller, C., Kumar, S. N., Nendel, C., O’Leary, G. J., Olesen, J.E ., Palosuo, T., Porter, J.R., Priesack, E., Ripoche, D., Rotter, R. P., Semenov, M. A., Stockle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Van der Velde, M., Wang, E., Wolf, J., Xiao, L., Zhang, Z., Zhao, Z., Zhu, Y. and Asseng, S. 2023. AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat, SDATA-20-01059. Open Data Journal for Agricultural Research (ODjAR). 9, pp. 10-25. https://doi.org/10.18174/odjar.v9i0.18092

Exploring future changes in synchrony between grapevine (Vitis vinifera) and its major insect pest, Lobesia botrana

Castex, V., De Cortazar-Atauri, I. G., Beniston, M., Moreau, J., Semenov, M. A., Stoffel, M. and Calanca, P. 2023. Exploring future changes in synchrony between grapevine (Vitis vinifera) and its major insect pest, Lobesia botrana. OENO One. 57 (1), pp. 161-174. https://doi.org/10.20870/oeno-one.2023.57.1.7250

Climate-induced severe water scarcity events as harbinger of global grain price

Trnka, M., Meitner, J., Balek, J., Feng, S., Arbelaez-Gaviria, J., Fischer, M., Boere. E., Havlík, P., Kersebaum, K., Nendel, C., Ruiz-Ramos, M., Semeradova, D., Semenov, M. A., Podebradska, M., Esper, J., Buentgen, U., Brzezina, J., Zalud, Z., Katul, G. and Jorgen, O. 2023. Climate-induced severe water scarcity events as harbinger of global grain price. Research Square. https://doi.org/10.21203/rs.3.rs-3293805/v1

Evidence for increasing global wheat yield potential

Guarin, J. R., Martre, P., Ewert, F., Webber, H., Dueri, S., Calderini, D., Reynolds, M., Molero, G., Miralles, D., Garcia, G., Slafer, G., Giunta, F., Pequeno, D. N. L., Stella, T., Ahmed, M., Alderman, P. D., Basso, B., Berger, A. G., Bindi, M., Bracho-Mujica, G., Cammarano, D., Chen, Y., Dumont, B., Rezae, E. E., Fereres, E., Ferrise, R., Gaiser, T., Gao, Y., Garcia-Vila, M., Gayler, S., Hochman, Z., Hoogenboom, G., Hunt, L. A., Kersebaum, K. C., Nendel, C., Olesen, J. E., Palosuo, T., Priesack, E., Pullens, J. W. M., Rodríguez, A., Rötter, R. P., Ruiz Ramos, M., 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., Zhang, Z., Zhao, C., Zhao, J., Zhao, Z., Zhu, Y. and Asseng, S. 2022. Evidence for increasing global wheat yield potential. Environmental Research Letters. 17, p. 124045. https://doi.org/10.1088/1748-9326/aca77c

A heteroskedastic model of park grass spring hay yields in response to weather suggests continuing yield decline with climate change in future decades

Addy, J. W. G., Ellis, R. H., MacLaren, C., Macdonald, A. J., Semenov, M. A. and Mead, A. 2022. A heteroskedastic model of park grass spring hay yields in response to weather suggests continuing yield decline with climate change in future decades. Journal of the Royal Society Interface. 19 (193), p. 20220361. https://doi.org/10.1098/rsif.2022.0361

Global wheat production could benefit from closing the genetic yield gap

Senapati, N., Semenov, M. A., Halford, N. G., Hawkesford, M. J., Asseng, S., Cooper, M., Ewert, F., Ittersum, M. K. V., Martre, P., Olesen, J. E., Reynolds, M., Rotter, R. P. and Webber, H. 2022. Global wheat production could benefit from closing the genetic yield gap. Nature Food. 3 (July), pp. 532-541. https://doi.org/10.1038/s43016-022-00540-9

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

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., Rodríguez, A., Rotter, R. P., Ramos, M. R., Semenov, M. A., Senapati, N., Siebert, S., Srivastava, A. K., Stockle, C., Supit, I., Tao, F., Thorburn, P., Wang, E., Weber, T. K. D., Xiao, L., Zhao, C., Zhao, J., Zhao, Z., Zhu, Y. and Martre, P. 2022. Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment. Journal of Experimental Botany. 73 (16), pp. 5715-5729. https://doi.org/10.1093/jxb/erac221

Diffuse water pollution during recent extreme wet-weather in the UK: Environmental damage costs and insight into the future?

Zhang, Y., Granger, S. J., Semenov, M. A., Upadhayay, H. and Collins, A. L. 2022. Diffuse water pollution during recent extreme wet-weather in the UK: Environmental damage costs and insight into the future? Journal of Cleaner Production. 338, p. 130633. https://doi.org/10.1016/j.jclepro.2022.130633

Modelling Heteroskedasticity, Overdispersion and the Impacts of Climate Change for Long-Term Hay Yield Data

Addy, J., Mead, A., Macdonald, A. J., Semenov, M. A. and Ellis, R. H. 2022. Modelling Heteroskedasticity, Overdispersion and the Impacts of Climate Change for Long-Term Hay Yield Data. 31st International Biometric Conference. Riga, Latvia 10 Jul 2022

Remote sensing, modelling-based hazard and risk assessment, and management of agro-forested ecosystems

Rizzi, J., Tarquis, A. M., Gobin, A., Semenov, M. A., Zhao, W and Tarolli, P. 2021. Remote sensing, modelling-based hazard and risk assessment, and management of agro-forested ecosystems. Natural Hazards and Earth System Sciences. 21 (12), p. 3873–3877. https://doi.org/10.5194/nhess-21-3873-2021

Effectiveness of using representative subsets of global climate models in future crop yield projections.

Qian, B., Jing, Q., Cannon, A. J., Smith, W., Grant, B., Semenov, M. A., Xu, Y. and Ma, D. 2021. Effectiveness of using representative subsets of global climate models in future crop yield projections. Scientific Reports. 11, p. 20565. https://doi.org/10.1038/s41598-021-99378-7

Methodology to assess the changing risk of yield failure due to heat and drought stress under climate change

Stella, T., Webber, H., Olesen, J. E., Ruane, A. C., Fronzek, S., Bregaglio, S., Mamidanna, S., Bindi, M., Collins, B., Faye, B., Ferrise, R., Fodor, N., Gabaldon-Leal, C., Jabloun, M., Kersebaum, K-C., Lizaso, J. I., Lorite, I. J., Manceau, L., Martre, P., Nendel, C., Rodriguez, A., Ruiz-Ramos, M., Semenov, M. A., Stratonovitch, P. and Ewert, F. 2021. Methodology to assess the changing risk of yield failure due to heat and drought stress under climate change. Environmental Research Letters. 16 (10), p. 104033. https://doi.org/10.1088/1748-9326/ac2196

Changes in agricultural climate in South-Eastern England from 1892 to 2016 and differences in cereal and permanent grassland yield

Addy, J., Ellis, R. H., Macdonald, A. J., Semenov, M. A. and Mead, A. 2021. Changes in agricultural climate in South-Eastern England from 1892 to 2016 and differences in cereal and permanent grassland yield. Agricultural and Forest Meteorology. 308-309, p. 108560. https://doi.org/10.1016/j.agrformet.2021.108560

Sirius crop model

Semenov, M. A. 2021. Sirius crop model. Zenodo. https://doi.org/10.5281/zenodo.4572624

Local impacts of climate change on winter wheat in Great Britain

Putelat, T., Whitmore, A. P., Senapati, N. and Semenov, M. A. 2021. Local impacts of climate change on winter wheat in Great Britain. Royal Society Open Science. 8 (6), p. 201669. https://doi.org/10.1098/rsos.201669

The impact of weather and increased atmospheric CO2 from 1892 to 2016 on simulated yields of UK wheat

Addy, J. W. G., Ellis, R.H., Macdonald, A. J., Semenov, M. A. and Mead, A. 2021. The impact of weather and increased atmospheric CO2 from 1892 to 2016 on simulated yields of UK wheat. Journal of the Royal Society Interface. 18 (179), p. 20210250. https://doi.org/10.1098/rsif.2021.0250

LARS-WG stochastic weather generator

Semenov, M. A. 2021. LARS-WG stochastic weather generator. Zenodo. https://doi.org/10.5281/zenodo.4572752

Dynamic simulation of management events for assessing impacts of climate change on pre-alpine grassland productivity

Petersen, K., Kraus, D., Calanca, P., Semenov, M. A., Butterbach-Bahl, K. and Kiese, R. 2021. Dynamic simulation of management events for assessing impacts of climate change on pre-alpine grassland productivity. European Journal of Agronomy. 128, p. 126306. https://doi.org/10.1016/j.eja.2021.126306

Using ensemble-mean climate scenarios for future crop yield projections: a stochastic weather generator

Ma, D., Jing, Q., Xu, Y.-P., Cannon, A. J., Dong, T., Semenov, M. A. and Qian, B. 2021. Using ensemble-mean climate scenarios for future crop yield projections: a stochastic weather generator . Climate Research. 83, pp. 161-171. https://doi.org/10.3354/cr01646

Future agroclimatic conditions and implications for European grasslands.

Trnka, M., Balek, J., Semenov, M. A., Semeradova, D., Belinova, M., Hlavinka, P., Olesen, J. E., Eitzinger, J., Schaumberger, A., Zahradnicek, P., Kopecky, D. and Zalud, Z. 2020. Future agroclimatic conditions and implications for European grasslands. Biologia Plantarum. 64, pp. 865-880. https://doi.org/10.32615/bp.2021.005

Vulnerability of European wheat to extreme heat and drought around flowering under future climate

Senapati, N., Halford, N. G. and Semenov, M. A. 2021. Vulnerability of European wheat to extreme heat and drought around flowering under future climate. Environmental Research Letters. 16 (2), p. 024052. https://doi.org/10.1088/1748-9326/abdcf3

Reproducing analysis of Sirius model simulations of wheat yields, 1892-2016

Addy, J., Semenov, M. A. and Mead, A. 2021. Reproducing analysis of Sirius model simulations of wheat yields, 1892-2016.

Simulated wheat yields from Sirius, 1892-2016

Addy, J., Semenov, M. A. and Mead, A. 2021. Simulated wheat yields from Sirius, 1892-2016.

The potential for soybean to diversify the production of plant-based protein in the UK

Coleman, K., Whitmore, A. P., Hassall, K. L., Shield, I. F., Semenov, M. A., Dobermann, A., Bourhis, Y., Eskandary, A. and Milne, A. E. 2021. The potential for soybean to diversify the production of plant-based protein in the UK. Science of the Total Environment. 767, p. 144903. https://doi.org/10.1016/j.scitotenv.2020.144903

Stability of farm income: The role of agricultural diversity and agri-environment scheme payments

Harkness, C., Areal, F. J., Semenov, M. A., Senapati, N., Shield, I. F. and Bishop, J. 2021. Stability of farm income: The role of agricultural diversity and agri-environment scheme payments. Agricultural Systems. 187, p. 103009. https://doi.org/10.1016/j.agsy.2020.103009

Assessing future drought risks and wheat yield losses in England

Clarke, D., Hess, T. M., Haro-Monteagudo, D., Semenov, M. A. and Knox, J. W 2021. Assessing future drought risks and wheat yield losses in England. Agricultural and Forest Meteorology. 297, p. 108248. https://doi.org/10.1016/j.agrformet.2020.108248

Understanding effects of genotype × environment × sowing window interactions for durum wheat in the Mediterranean basin

Padovan, G., Martre, P., Semenov, M. A., Masoni, A., Bregaglio, S., Ventrella, D., Lorite, I. J., Santos, C., Bindi, M., Ferrise, R. and Dibari, C. 2020. Understanding effects of genotype × environment × sowing window interactions for durum wheat in the Mediterranean basin. Field Crops Research. 259, p. 107969. https://doi.org/10.1016/j.fcr.2020.107969

Pan-European multi- crop model ensemble projections of climate change impact on wheat and grain maize

Webber, H., Cooke, D., Ewert, F., Olesen, J. E., Fronzek, S., Ruane, A. C., Martre, P., Collins, B., Bindi, M., Ferrise, R., Fodor, N., Gabaldon-Leal, C., Gaiser, T., Jabloun, M., Kersebaum, K.-C., Lizaso, J. I., Lorite, I. J., Manceau, L., Moriondo, M., Nendel, C., Rodriguez, A., Ruiz-Ramos, M., Semenov, M. A., Stella, T., Stratonovitch, P. and Trombi, G. 2020. Pan-European multi- crop model ensemble projections of climate change impact on wheat and grain maize . Open Data Journal for Agricultural Research (ODjAR). 6, pp. 21-27. https://doi.org/10.18174/odjar.v6i0.16326

Substantial increase in yield predicted by wheat ideotypes for Europe under future climate

Senapati, N., Griffiths, S, Hawkesford, M. J., Shewry, P. R. and Semenov, M. A. 2020. Substantial increase in yield predicted by wheat ideotypes for Europe under future climate. Climate Research. 80 (3), p. 189–201. https://doi.org/10.3354/cr01602

Investigating the effects of inter-annual weather variation (1968-2016) on the functional response of cereal grain yield to applied nitrogen, using data from the Rothamsted Long-Term Experiments

Addy, J., Ellis, R. H., Macdonald, A. J., Semenov, M. A. and Mead, A. 2020. Investigating the effects of inter-annual weather variation (1968-2016) on the functional response of cereal grain yield to applied nitrogen, using data from the Rothamsted Long-Term Experiments. Agricultural and Forest Meteorology. 284, p. 107898. https://doi.org/10.1016/j.agrformet.2019.107898

Adverse weather conditions for UK wheat production under climate change

Harkness, C., Semenov, M. A., Areal, F., Senapati, N., Trnka, M., Balek, J. and Bishop, J. 2020. Adverse weather conditions for UK wheat production under climate change. Agricultural and Forest Meteorology. 282-283, p. 107862. https://doi.org/10.1016/j.agrformet.2019.107862

Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models

Tao, F., Palosuo, T., Rotter, R. P., Hernandez Diaz-Ambrona, C. G., Minguez, M. I., Semenov, M. A., Kersebaum, K. C., Cammarano, D., Specka, X., Nendel, C., Srivastava, A. K., Ewert, F., Padovan, G., Ferrise, R., Martre, P., Rodriguez, L., Ruiz-Ramos, M., Gaiser, T., Hohn, J. G., Salo, T., Dibari, C. and Schulman, A. H. 2020. Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models. Agricultural and Forest Meteorology. 281, p. 107851. https://doi.org/10.1016/j.agrformet.2019.107851

Large genetic yield potential and genetic yield gap estimated for wheat in Europe

Semenov, M. A. and Senapati, N. 2020. Large genetic yield potential and genetic yield gap estimated for wheat in Europe. Global Food Security. 24, p. 100340. https://doi.org/10.1016/j.gfs.2019.100340

Mitigation efforts will not fully alleviate the increase in water scarcity occurrence probability in wheat-producing areas

Trnka, M., Feng, S., Semenov, M. A., Olesen, J. E., Kersebaum, K. C., Rotter, R. P., Semeradova, D., Klem, K., Huang, W., Ruiz-Ramos, M., Hlavinka, P, Meitner, J., Balek, J., Havlik P. and Buntgen, U. 2019. Mitigation efforts will not fully alleviate the increase in water scarcity occurrence probability in wheat-producing areas . Science Advances. 5 (9), p. eaau2406. https://doi.org/10.1126/sciadv.aau2406

Risk factors for European winter oilseed rape production under climate change

Pullens, J. W. M., Sharif, B., Trnka, M., Balek, J., Semenov, M. A. and Olesen, J. E. 2019. Risk factors for European winter oilseed rape production under climate change. Agricultural and Forest Meteorology. 272-273, pp. 30-39. https://doi.org/10.1016/j.agrformet.2019.03.023

New modelling technique for improving crop model performance - Application to the GLAM model

Droutsas, I., Challinor, A. J., Swiderski, M. and Semenov, M. A. 2019. New modelling technique for improving crop model performance - Application to the GLAM model. Environmental Modelling and Software. 118, pp. 187-200. https://doi.org/10.1016/j.envsoft.2019.05.005

Assessing yield gap in high productive countries by designing wheat ideotypes

Senapati, N. and Semenov, M. A. 2019. Assessing yield gap in high productive countries by designing wheat ideotypes. Scientific Reports. 9 (1), p. 5516. https://doi.org/10.1038/s41598-019-40981-0

Global wheat production with 1.5 and 2.0°C above pre‐industrial warming

Liu, B., Martre, P., Ewert, F., Porter, J. R., Challinor, A. J., Muller, C., Ruane, A. C., Waha, K., Thorburn, P. J., Aggarwal, P. K., Ahmed, M., Balkovič, J., Basso, B., Biernath, C., Bindi, M., Cammarano, D., De Sanctis, G., Dumont, B., Espadafor, M, Rezaei, E. E., Ferrise, R., Garcia-Vila, M., Galyer, S., Gao, Y., Horan, H., Hoogenboom, G., Izaurralde, R. C., Jones, C. D., Kassie, B. T., Kersebaum, K. C., Klein, C., Koehler, A.-K., Maiorano, A., Minoli, A., Montesino San Martin, M., Kumar, S.N., Nendel, C., O’Leary, G. J., Paluoso, T., Priesack, E., Riposhe, D., Rotter, R. P., Semenov, M. A., Stockle, C., Streck, T., Supit, I., Tao, F., Van der Velde, M., Wallach, D., Wang, E., Webber, H., Wolf, J., Xiao, L., Zhang, Z., Zhao, Z., Zhue, Y. and Asseng, S. 2019. Global wheat production with 1.5 and 2.0°C above pre‐industrial warming. Global Change Biology. 25 (4), pp. 1428-1444. https://doi.org/10.1111/gcb.14542

Raising genetic yield potential in high productive countries: Designing wheat ideotypes under climate change

Senapati, N., Brown, H. E. and Semenov, M. A. 2019. Raising genetic yield potential in high productive countries: Designing wheat ideotypes under climate change. Agricultural and Forest Meteorology. 271, pp. 33-45. https://doi.org/10.1016/j.agrformet.2019.02.025

Climate change impact and adaptation for wheat protein

Asseng, S., Martre, P., Maiorano, A., Rotter, R. P., O'Leary, G. J., Fitzgerald, G. J., Girousse, C., Motzo, R., Giunta, F., Babar, M. A., Reynolds, M. P., Kheir, A. M. S., Thorburn, P. J., Ruane, A. C., Waha, K, Aggarwal, P. K., Ahmed, M., Balkovic, J., Basso, B., Biernath, C., Bindi, M., Cammarano, D., Challinor, A. J., De Sanctis, D., Dumont, B., Eyshi Rezaei, E., Fereres, E., Ferrise, R., Garcia-Vila, M., Gayler, S., Gao, Y., Horan, H., Hoggenboom, G., Izaurralde, R. C., Jabloun, M., Jones, C., Kassie, B. T., Kersebaum, K-C., Klein, C., Koehler, A-K., Liu, B., Minoli, S., San Martin, M. M., Muller, C., Kumar, S. N., Nendel, C., Olesen, J. E., Palosuo, T., Porter, J., Priesack, E., Ripoche, D., Semenov, M. A., Stöckle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Van der Velde, M., Wallach, D., Wang, E., Webber, H., Wolf, J., Xiao, L., Zhang, Z., Zhao, Z., Zhu, Y. and Ewert, F. 2019. Climate change impact and adaptation for wheat protein. Global Change Biology. 25 (1), pp. 155-173. https://doi.org/10.1111/gcb.14481

Diverging importance of drought stress for maize and winter wheat in Europe

Webber, H, Ewert, F., Olesen, J. E., Müller, C., Fronzek, S., Ruane, A. C., Bourgault, M., Martre, P., Ababaei, B., Bindi, M., Ferrise, R., Finger, R., Fodor, N., Gabaldón-Leal, C., Gaiser, T., Jabloun, M., Kersebaum, K.-C., Lizaso, J. I., Lorie, I. J., Manceau, L., Moriondo, M., Nendel, C., Rodriguez, A., Ruiz-Ramos, M., Semenov, M. A., Siebert, S., Stella, T., Stratonovitch, P., Trombi, G. and Wallach, D. 2018. Diverging importance of drought stress for maize and winter wheat in Europe. Nature Communications. 9 (4249). https://doi.org/10.1038/s41467-018-06525-2

Implications of crop model ensemble size and composition for estimates of adaptation eﬀects and agreement of recommendations

Rodriguez, A., Ruiz-Ramos, M., Palosuo, T., Carter, T. R., Fronzek, S., Lorite, I. J., Ferrise, R., Pirttioja, N., Bindi, M., Baronowski, P., Buis, S., Cammarano, D., Chen, Y., Dumont, B., Ewert, F., Gaiser, T., Hlavinka, P., Hoffman, H., Hohn, J. G., Jurecka, F., Kersebaum, K. C., Krzyszczak, J., Lana, M., Mechiche-Alami, A., Minet, J., Montesino, M., Nendel, C., Porter, J. R, Ruget, F., Semenov, M. A., Steinmetz, Z., Stratonovitch, P., Supit, I., Tao, F., Trnka, M., de Wit, A. and Rotter, R. P. 2019. Implications of crop model ensemble size and composition for estimates of adaptation eﬀects and agreement of recommendations . Agricultural and Forest Meteorology. 264, pp. 351-362. https://doi.org/10.1016/j.agrformet.2018.09.018

Maize yields over Europe may increase in spite of climate change, with an appropriate use of the genetic variability of flowering time

Parent, B., Leclere, M., Lacube, S., Semenov, M. A., Welcker, C., Martre, P. and Tardieu, F. 2018. Maize yields over Europe may increase in spite of climate change, with an appropriate use of the genetic variability of flowering time. Proceedings of the National Academy of Sciences. 115 (42), pp. 10642-10647. https://doi.org/10.1073/pnas.1720716115

Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change.

Fronzek, S., Pirttioja, N., Carter, T. R., Bindi, M., Hoffman, H., Palosuo, T., Ruiz-Ramos, M., Tao, F., Trnka, M., Acutis, M., Asseng, S., Baranowski, P., Basso, B., Bodin, P., Buis, S., Cammarano, D., Deligios, P., Destain, M-F., Dumont, B., Ewert, F., Ferrise, R., Francois, L., Gaiser, T., Hlavinka, P., Jacquemin, I., Kersebaum, K. C., Kollas, C., Krzyszczak, J., Loriet, I. J., Minet, J., Minguez, M. I., Montesino, M., Moriondo, M., Muller, M., Nendel, C., Ozturk, I., Perego, A., Rodriguez, A., Ruane, A. C., Ruget, F., Sanna, M., Semenov, M. A., Slawinski, C., Stratonovitch, P., Supit, I., Waha, K., Wang, E., Wu, L., Zhao, Z. and Rotter, R. P. 2018. Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change. Agricultural Systems. 159, pp. 209-224. https://doi.org/10.1016/j.agsy.2017.08.004

Multi-model ensembles improve predictions of crop-environment-management interactions

Wallach, D., Martre, P., Liu, B., Asseng, S., Ewert, F., Thorburn, P. J., Van Ittersum, M., Aggarwal, P. K., Ahmed, M., Basso, B., Biernath, C., Cammarano, D., Challinor, A. J., De Sanctis, G., Dumont, B., Eyshi Rezaei, E., Fereres, E., Fitzgerald, G. J., Gao, Y., Garcia-Vila, M., Galyer, S., Girousse, C., Hoogenboom, G., Horan, H., Izaurralde, R. C., Jones, C. D., Kassie, B. T., Kersebaum, K. C., Klein, C., Koehler, A.-K., Maiorano, A., Minoli, S., Muller,C., Kumar, S. N., Nendel, C., O'Leary, G., Palosuo, T., Priesack, E., Ripoche, D., Rotter, R. P., Semenov, M. A., Stockle, C., Stratonovitch, P., Streck, T., Supit, I., Wolf, J. and Zhang, Z 2018. Multi-model ensembles improve predictions of crop-environment-management interactions. Global Change Biology. 24 (11), pp. 5072-5083. https://doi.org/10.1111/gcb.14411

Drought tolerance during reproductive development is important for increasing wheat yield potential under climate change in Europe

Senapati, N., Stratonovitch, P., Paul, M. J. and Semenov, M. A. 2019. Drought tolerance during reproductive development is important for increasing wheat yield potential under climate change in Europe. Journal of Experimental Botany. 70 (9), pp. 2549-2560. https://doi.org/10.1093/jxb/ery226

The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations

Martre, P., Kimball, B. A., Ottman, M. J., Wall, G. W., White, J. W., Asseng, S., Ewert, F., Cammarano, D., Maiorano, A., Aggarwal, P. K., Anothai, J., Basso, B., Biernath, C., Challinor, A. J., De Sanctis, G., Doltra, J., Dumont, B., Fereres, E., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L. A., Izaurralde, R. C., Jablou, M., Jones, C. D., Kassie, B. T., Kersebaum, K. C., Koehler, A.- K., Muller, C., Kumar, S. N., Liu, B., Lobell, D. B., Nendel, C., O'Leary, G., Olesen, J. E., Palosuo, T., Priesack, E,, Rezaei, E. E., Ripoche, D., Rotter, R. P, Semenov, M. A., Stockle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P., Waha, K., Wang, E., Wolf, J., Zhao, Z. and Zhu, Z. 2018. The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations. Open Data Journal for Agricultural Research (ODjAR). 4, pp. 28-34. https://doi.org/10.7910/DVN/M9ZT0F

Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments

Tao, F., Rotter, R. P., Palosuo, T., Diaz-Ambrona, C. G. H., Minguez, M. I., Semenov, M. A., Kersebaum, K. C., Nendel, C., Specka, X.., Hoffmann, H., Ewert, F., Dambrevill, A., Martre, P., Rodriguez, L., Ruiz-Ramos, M., Gaiser, T., Hohn, J. G., Salo, T., Ferrise, R., Bindi, M., Cammarano, D. and Schulman, A.H. 2018. Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments. Global Change Biology. 24 (3), pp. 1291-1307. https://doi.org/10.1111/gcb.14019

Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions

Webber, H., White, J. W., Kimball, B. A., Ewert, F., Asseng, S., Rezaei, E. E., Pinter, P. J., Hatfield, J., Reynolds, M. P., Ababaei, B., Bindi, M, Doltra, J., Ferrise, R., Kage, Henning, Kassie, B.T., Kersebaum, K.-C., Luig, A., Olesen, J. E., Semenov, M. A., Stratonovitch, P., Ratjen, A. M., LaMorte, R. L., Leavitt, S. W., Hunsaker, D. J., Wall, G. W. and Martre, P. 2017. Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions. Field Crops Research. 216, pp. 75-88. https://doi.org/10.1016/j.fcr.2017.11.005

The uncertainty of crop yield projections is reduced by improved temperature response functions

Wang, E., Martre, P., Zhao, Z., Ewert, F., Maiorano, A., Rötter, R. P., Kimball, B. A., Ottman, M. J., Wall, G. W., White, J. W., Reynolds, M. P., Alderman, P. D., Aggarwal, P. K., Anothai, J., Basso, B., Biernath, C., Cammarano, D., Challinor, A. J., De Sanctis, G., Doltra, J., Dumont, B., Fereres, E., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L. A., Izaurralde, R. C., Jabloun, M., Jones, C. D., Kersebaum, K. C., Koehler, A. K., Liu, L., Müller, C., Naresh Kumar, S., Nendel, C., O'Leary, G., Olesen, J. E., Palosuo, T., Priesack, E., Eyshi Rezaei, E., Ripoche, D., Ruane, A. C., Semenov, M. A., Shcherbak, I., Stöckle, C. O., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P., Waha, K., Wallach, D., Wang, Z., Wolf, J., Zhu, Y. and Asseng, S. 2017. The uncertainty of crop yield projections is reduced by improved temperature response functions. Nature Plants. 3, p. 17102. https://doi.org/10.1038/nplants.2017.102

How does inter-annual variability of attainable yield affect the magnitude of yield gaps for wheat and maize? An analysis at ten sites

Hoffmann, M. P., Haakana, M., Asseng, S., Hohn, J. G., Palosuo, T., Ruiz-Ramos, M., Fronzek, S., Ewert, F., Gaiser, T., Kassie, B. T., Paff, K., Razaei, E. E., Rodriguez, A., Semenov, M. A., Srivastava, A. K., Stratonovitch, P., Tao, F., Chen, Y. and Rotter, R. P. 2017. How does inter-annual variability of attainable yield affect the magnitude of yield gaps for wheat and maize? An analysis at ten sites. Agricultural Systems. 159, pp. 199-208. https://doi.org/10.1016/j.agsy.2017.03.012

Adaptation response surfaces for local management of wheat under perturbed climate and CO2 concentration in a Mediterranean environment.

Ruiz-Ramos, M., Ferrise, R, Rodriguez, A., Lorite, I. J., Bindi, M., Carter, T. R., Fronzek, S., Palosuo, T., Pirttioja, N., Baranowski, P., Buis, S., Cammarano, D., Chen, Y., Dumont, B., Ewert, F., Gaiser, T., Hlavinka, P., Hoffman, H., Hohn, J. G., Jurecka F., Kersebaum, K. C., Krzyszczak, J., Lana, M., Mechiche-Alami, A., Minet, J., Montesino, M., Nendel, C., Porter, J. R., Ruget, F., Semenov, M. A., Steinmetz, Z., Stratonovitch, P., Supit, I., Tao, F., Trnka, M., De Wit, A. and Potter, R. P. 2018. Adaptation response surfaces for local management of wheat under perturbed climate and CO2 concentration in a Mediterranean environment. Agricultural Systems. 159 (January), pp. 260-274. https://doi.org/10.1016/j.agsy.2017.01.009

Temporally and genetically discrete periods of wheat sensitivity to high temperature

Barber, H. M., Lukac, M., Simmonds, J., Semenov, M. A. and Gooding, M. J. 2017. Temporally and genetically discrete periods of wheat sensitivity to high temperature. Frontiers in Plant Science. 8 (51), p. 9p. https://doi.org/10.3389/fpls.2017.00051

Designing future barley ideotypes using a crop model ensemble

Tao, F. L., Rotter, R. P., Palosuo, T., Diaz-Ambrona, C. G. H., Minguez, M. I., Semenov, M. A., Kersebaum, K. C., Nendel, C., Cammarano, D., Hoffmann, H., Ewert, F., Dambreville, A., Martre, P., Rodriguez, L., Ruiz-Ramos, M., Gaiser, T., Hohn, J. G., Salo, T., Ferrise, R., Bindi, M. and Schulman, A. H. 2017. Designing future barley ideotypes using a crop model ensemble. European Journal of Agronomy. 82, pp. 144-162. https://doi.org/10.1016/j.eja.2016.10.012

Climate forcing of an emerging pathogenic fungus across a montane multi-host community

Clare, F. C., Halder, J. B., Daniel, O., Bielby, J., Semenov, M. A., Jombart, T., Loyau, A., Schmeller, D. S., Cunningham, A. A., Rowcliffe, M., Garner, T. W. J., Bosch, J. and Fisher, M. C. 2016. Climate forcing of an emerging pathogenic fungus across a montane multi-host community. Philosophical Transactions of the Royal Society B-Biological Sciences. 371 (1709). https://doi.org/10.1098/rstb.2015.0454

Use of an individual-based simulation model to explore and evaluate potential insecticide resistance management strategies

Slater, R., Stratonovitch, P., Elias, J., Semenov, M. A. and Denholm, I. 2017. Use of an individual-based simulation model to explore and evaluate potential insecticide resistance management strategies. Pest Management Science. 73 (7), pp. 1364-1372. https://doi.org/10.1002/ps.4456

Similar estimates of temperature impacts on global wheat yield by three independent methods

Liu, B., Asseng, S., Müller, C., Ewert, F., Elliott, J., Lobell, D. B., Martre, P., Ruane, A. C., Wallach, D., Jones, J. W., Rosenzweig, C., Aggarwal, P. K., Alderman, P. D., Anothai, J., Basso, B., Biernath, C., Cammarano, D., Challinor, A. J., Deryng, D., De Sanctis, G., Doltra, J., Fereres, E., Folberth, C., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L. A., Izaurralde, R. C., Jabloun, M., Jones, C. D., Kersebaum, K. C., Kimball, B. A., Koehler, A. K., Kumar, S. N., Nendel, C., O'Leary, G. J., Olesen, J. E., Ottman, M. J., Palosuo, T., Prasad, P. V. V., Priesack, E., Pugh, T. A. M., Reynolds, M., Rezaei, E. E., Rötter, R. P., Schmid, E., Semenov, M. A., Shcherbak, I., Stehfest, E., Stöckle, C. O., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P., Waha, K., Wall, G. W., Wang, E., White, J. W., Wolf, J., Zhao, Z. and Zhu, Y. 2016. Similar estimates of temperature impacts on global wheat yield by three independent methods. Nature Climate Change. 6 (12), pp. 1130-1138. https://doi.org/10.1038/nclimate3115

Climate Change and Future Pollen Allergy in Europe

Lake, I. R, Jones, N. R., Agnew, M., Goodess, C. M., Giorgi, F., Hamaoui-Laguel, L., Semenov, M. A., Solmon, F., Storkey, J., Vautard, R. and Epstein, M. M. 2017. Climate Change and Future Pollen Allergy in Europe. Environmental Health Perspectives. 125, pp. 385-391. https://doi.org/10.1289/ehp173

Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles

Maiorano, A., Martre, P., Asseng, S., Ewert, F., Muller, C., Rotter, R. P., Ruane, A. C., Semenov, M. A., Wallach, D., Wang, E. L., Alderman, P. D., Kassie, B. T., Biernath, C., Basso, B., Cammaran, D., Challinor, A. J., Doltra, J., Dumont, B., Rezaei, E. E., Gayler, S., Kersebaum, K. C., Kimball, B. A., Koehler, A. K., Liu, B., O'Leary, G. J., Olesen, J. E., Ottman, M. J., Priesack, E., Reynolds, M., Stratonovitch, P., Streck, T., Thorburn, P. J., Waha, K., Wall, G. W., White, J. W., Zhao, Z. G. and Zhu, Y. 2017. Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles. Field Crops Research. 202, pp. 5-20. https://doi.org/10.1016/j.fcr.2016.05.001

Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2

Cammarano, D., Rötter, R. P., Asseng, S., Ewert, F., Wallach, D., Martre, P., Hatfield, J. L., Jones, J. W., Rosenzweig, C., Ruane, A. C., Boote, K. J., Thorburn, P. J., Kersebaum, K. C., Aggarwal, P. K., Angulo, C., Basso, B., Bertuzzi, P., Biernath, C., Brisson, N., Challinor, A. J., Doltra, J., Gayler, S., Goldberg, R., Heng, L., Hooker, J., Hunt, L. A., Ingwersen, J., Izaurralde, R. C., Müller, C., Kumar, S. N., Nendel, C., O'Leary, G. J., Olesen, J. E., Osborne, T. M., Palosuo, T., Priesack, E., Ripoche, D., Semenov, M. A., Shcherbak, I., Steduto, P., Stöckle, C. O., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Travasso, M., Waha, K., White, J. W. and Wolf, J. 2016. Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2. Field Crops Research. 198, pp. 80-92. https://doi.org/10.1016/j.fcr.2016.08.015

Multi-wheat-model ensemble responses to interannual climate variability

Ruane, A. C., Hudson, N. L., Asseng, S., Ewert, F., Cammarano, D., Martre, P., Boote, K. J., Thorburn, P. J., Aggarwal, P. K., Angulo, C., Basso, B., Bertuzzi, P., Biernath, C., Brisson, N., Challinor, A. J., Doltra, J., Gayler, S., Goldberg, R., Grant, R. F., Heng, L., Hooker, J., Hunt, L. A., Ingwersen, J., Izaurralde, R. C., Kersebaum, K. C., Müller, C., Kumar, S. N., Nendel, C., O'Leary, G., Olesen, J. E., Osborne, T. M., Palosuo, T., Priesack, E., Ripoche, D., Semenov, M. A., Shcherbak, I., Steduto, P., Stöckle, C. O., Stratonovitch, P., Streck, T., Supit, I., Tao, F. L., Travasso, M., Waha, K., Wallach, D., White, J. W. and Wolf, J. 2016. Multi-wheat-model ensemble responses to interannual climate variability. Environmental Modelling and Software. 81, pp. 86-101. https://doi.org/10.1016/j.envsoft.2016.03.008

Modelling climate change impacts on crop production for food security: introduction

Bindi, M., Palosuo, T., Trnka, M. and Semenov, M. A. 2015. Modelling climate change impacts on crop production for food security: introduction. Climate Research. 65, pp. 3-5. https://doi.org/10.3354/cr01342

Adapting wheat ideotypes for climate change: accounting for uncertainties in CMIP5 climate projections

Semenov, M. A. and Stratonovitch, P. 2015. Adapting wheat ideotypes for climate change: accounting for uncertainties in CMIP5 climate projections. Climate Research. 65, pp. 123-139. https://doi.org/10.3354/cr01297

Heat tolerance around flowering in wheat identified as a key trait for increased yield potential in Europe under climate change

Stratonovitch, P. and Semenov, M. A. 2015. Heat tolerance around flowering in wheat identified as a key trait for increased yield potential in Europe under climate change. Journal of Experimental Botany. 66 (12), pp. 3599-3609. https://doi.org/10.1093/jxb/erv070

Effects of climate change and seed dispersal on airborne ragweed pollen loads in Europe

Hamaoui-Laguel, L., Vautard, R., Liu, L., Solmon, F., Viovy, N., Khvorosthyanov, D., Essl, F., Chuine, I., Colette, A., Semenov, M. A., Schaffhauser, A., Storkey, J., Thibaudon, M. and Epstein, M. M. 2015. Effects of climate change and seed dispersal on airborne ragweed pollen loads in Europe. Nature Climate Change. 5, pp. 766-771. https://doi.org/10.1038/nclimate2652

Statistical analysis of large simulated yield datasets for studying climate effects

Makowski, D., Asseng, S., Ewert, F., Bassu, S., Durand, J., Martre, P., Adam, M., Aggarwal, P. K., Angulo, C., Baron, C., Basso, B., Bertuzzi, P., Biernath, C., Boogard, H., Boote, K. J., Brisson, N., Cammarano, D., Challinor, A. J., Conijn, S., Corbeels, M., Deryng, D., De Sanctis, G., Doltra, J., Gayler, S., Goldberg, R., Grassini, P., Hatfield, J. L., Heng, L., Hoek, S., Hooker, J., Hunt, T., Ingwersen, J., Izaurralde, R. C., Jongschaap, R., Jones, J., Kersebaum, K. C., Kim, S., Lizaso, J., Müller, C., Kumar, N., Nendel, C., O'Leary, G., Olsen, J., Osborne, T., Palosuo, T., Pravia, M., Priesack, E., Semenov, M. A. and Stratonovitch, P. 2015. Statistical analysis of large simulated yield datasets for studying climate effects. in: Hillel, D. and Rosenzweig, C. (ed.) Handbook of climate change and agroecosystems: the Agricultural Model Intercomparison and Improvement Project (AgMIP) Imperial College Press, London. pp. 279-295

Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces

Pirttioja, N., Semenov, M. A. and Stratonovitch, P. 2015. Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces. Climate Research. 65, pp. 87-105. https://doi.org/10.3354/cr01322

In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management

Martre, P., He, J., Le Gouis, J. and Semenov, M. A. 2015. In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management. Journal of Experimental Botany. 66, pp. 3581-3598. https://doi.org/10.1093/jxb/erv049

Crop modelling for integrated assessment of risk to food production from climate change

Ewert, F., Rotter, R. P., Bindi, M., Webber, H., Trnka, M., Kersebaum, K. C., Olesen, J. E., Van Ittersum, M. K., Janssen, S., Rivington, M., Semenov, M. A., Wallach, D., Porter, J. R., Stewart, D., Verhagen, J., Gaiser, T., Palosuo, T., Tao, F., Nendel, C., Roggero, P. P., Bartosova, L. and Asseng, S. 2015. Crop modelling for integrated assessment of risk to food production from climate change. Environmental Modelling and Software. 72, pp. 287-303. https://doi.org/10.1016/j.envsoft.2014.12.003

Benchmark data set for wheat growth models: field experiments and AgMIP multi-model simulations

Asseng, S., Ewert, F., Martre, P., Rosenzweig, C., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P. J., Rötter, R. P., Cammarano, D., Brisson, N., Basso, B., Aggarwal, P. K., Angulo, C., Bertuzzi, P., Biernath, C., Challinor, A. J., Doltra, J., Semenov, M. A. and Stratonovitch, P. 2015. Benchmark data set for wheat growth models: field experiments and AgMIP multi-model simulations. Open Data Journal for Agricultural Research. 1, pp. 1-5. https://doi.org/10.18174/odjar.v1i1

Monthly-to-seasonal predictions of durum wheat yield over the Mediterranean Basin

Ferrise, R., Toscano, P., Pasqui, M., Moriondo, M., Primicerio, J., Semenov, M. A. and Bindi, M. 2015. Monthly-to-seasonal predictions of durum wheat yield over the Mediterranean Basin. Climate Research. 65, pp. 7-21. https://doi.org/10.3354/cr01325

Adaptation options for wheat in Europe will be limited by increased adverse weather events under climate change

Trnka, M., Hlavinka, P. and Semenov, M. A. 2015. Adaptation options for wheat in Europe will be limited by increased adverse weather events under climate change. Journal of the Royal Society Interface. 12 (112), p. 20150721. https://doi.org/10.1098/rsif.2015.0721

A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration

Makowski, D., Asseng, S., Ewert, F., Semenov, M. A. and Stratonovitch, P. 2015. A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration. Agricultural and Forest Meteorology. 214-215, pp. 483-493. https://doi.org/10.1016/j.agrformet.2015.09.013

Rising temperatures reduce global wheat production

Asseng, S., Semenov, M. A. and Stratonovitch, P. 2015. Rising temperatures reduce global wheat production. Nature Climate Change. 5, pp. 143-147. https://doi.org/10.1038/nclimate2470

Multimodel ensembles of wheat growth: many models are better than one

Martre, P., Semenov, M. A. and Stratonovitch, P. 2015. Multimodel ensembles of wheat growth: many models are better than one. Global Change Biology. 21 (2), pp. 911-925. https://doi.org/10.1111/gcb.12768

Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: A multi-model comparison

Webber, H., Martre, P., Asseng, S., Kimball, B. A., White, J., Ottman, M. J., Wall, G. W., De Sanctis, G., Doltra, J., Grant, R., Kassie, B., Maiorano, A., Olesen, J. E., Ripoche, D., Rezaei, E. E., Semenov, M. A., Stratonovitch, P. and Ewert, F. 2017. Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: A multi-model comparison. Field Crops Research. 202 (15 February), pp. 21-35. https://doi.org/10.1016/j.fcr.2015.10.009

Modelling the effects of climatic change and genetic modification on nitrogen use by wheat

Porter, J. R., Leigh, R. A., Semenov, M. A. and Miglietta, F. 1995. Modelling the effects of climatic change and genetic modification on nitrogen use by wheat. European Journal of Agronomy. 4 (4), pp. 419-429. https://doi.org/10.1016/S1161-0301(14)80094-4

Adapting wheat in Europe for climate change

Semenov, M. A., Stratonovitch, P., Alghabari, F. and Gooding, M. J. 2014. Adapting wheat in Europe for climate change. Journal of Cereal Science. 59 (3), pp. 245-256. https://doi.org/10.1016/j.jcs.2014.01.006

An individual-based model of the evolution of pesticide resistance in heterogeneous environments: control of Meligethes aeneus population in oilseed rape crops

Stratonovitch, P., Elias, J., Denholm, I., Slater, R. and Semenov, M. A. 2014. An individual-based model of the evolution of pesticide resistance in heterogeneous environments: control of Meligethes aeneus population in oilseed rape crops. PLOS ONE. 9, p. e115631. https://doi.org/10.1371/journal.pone.0115631

Comparing climate change impacts on cereals based on CMIP3 and EU-ENSEMBLES climate scenarios

Vanuytracht, E., Raes, D., Willems, P. and Semenov, M. A. 2014. Comparing climate change impacts on cereals based on CMIP3 and EU-ENSEMBLES climate scenarios. Agricultural and Forest Meteorology. 195-196, pp. 12-23. https://doi.org/10.1016/j.agrformet.2014.04.017

Adverse weather conditions for European wheat production will become more frequent with climate change

Trnka, M., Rötter, R. P., Ruiz-Ramos, M., Kersebaum, K. C., Olesen, J. E., Zalud, Z. and Semenov, M. A. 2014. Adverse weather conditions for European wheat production will become more frequent with climate change. Nature Climate Change. 4, pp. 637-643. https://doi.org/10.1038/nclimate2242

A process-based approach to predicting the effect of climate change on the distribution of an invasive allergenic plant in Europe

Storkey, J., Stratonovitch, P., Chapman, D. S., Vidotto, F. and Semenov, M. A. 2014. A process-based approach to predicting the effect of climate change on the distribution of an invasive allergenic plant in Europe. PLOS ONE. 9, p. e88156. https://doi.org/10.1371/journal.pone.0088156

An objective approach to model reduction: application to the Sirius wheat model

Crout, N. M. J., Craigon, J., Cox, G. M., Jao, Y., Tarsitano, D., Wood, A. T. A. and Semenov, M. A. 2014. An objective approach to model reduction: application to the Sirius wheat model. Agricultural and Forest Meteorology. 189-190, pp. 211-219. https://doi.org/10.1016/j.agrformet.2014.01.010

Designing high-yielding wheat ideotypes for a changing climate

Semenov, M. A. and Stratonovitch, P. 2013. Designing high-yielding wheat ideotypes for a changing climate. Food and Energy Security. 2 (3), pp. 185-196. https://doi.org/10.1002/fes3.34

Uncertainty in simulating wheat yields under climate change

Asseng, S., Semenov, M. A. and Stratonovitch, P. 2013. Uncertainty in simulating wheat yields under climate change. Nature Climate Change. 3, pp. 827-832. https://doi.org/10.1038/nclimate1916

Validation of ELPIS 1980-2010 baseline scenarios using the observed European Climate Assessment data set

Semenov, M. A., Pilkington-Bennett, S. and Calanca, P. 2013. Validation of ELPIS 1980-2010 baseline scenarios using the observed European Climate Assessment data set. Climate Research. 57, pp. 1-9. https://doi.org/10.3354/cr01164

Reply to Gange et al: Climate-driven changes in the fungal fruiting season in the United Kingdom

Kauserud, H., Heegaard, E., Buntgen, U., Halvorsen, R., Egli, S., Senn-Irlet, B., Krisai-Greilhuber, I., Damon, W., Norden, J., Hoiland, K., Kirk, P. M., Semenov, M. A., Stenseth, N. C. and Boddy, L. 2013. Reply to Gange et al: Climate-driven changes in the fungal fruiting season in the United Kingdom. Proceedings of the National Academy of Sciences. 110, p. E335. https://doi.org/10.1073/pnas.1221131110

Local-scale climate scenarios for impact studies and risk assessments: integration of early 21st century ENSEMBLES projections into the ELPIS database

Calanca, P. and Semenov, M. A. 2013. Local-scale climate scenarios for impact studies and risk assessments: integration of early 21st century ENSEMBLES projections into the ELPIS database. Theoretical And Applied Climatology. 113, pp. 445-455. https://doi.org/10.1007/s00704-012-0799-3

Assessing uncertainties in impact of climate change on grass production in Northern Europe using ensembles of global climate models

Hoglind, M., Thorsen, S. M. and Semenov, M. A. 2013. Assessing uncertainties in impact of climate change on grass production in Northern Europe using ensembles of global climate models. Agricultural and Forest Meteorology. 170 (15 March), pp. 103-113. https://doi.org/10.1016/j.agrformet.2012.02.010

A process-based approach to modelling impacts of climate change on the damage niche of an agricultural weed

Stratonovitch, P., Storkey, J. and Semenov, M. A. 2012. A process-based approach to modelling impacts of climate change on the damage niche of an agricultural weed. Global Change Biology. 18 (6), pp. 2071-2080. https://doi.org/10.1111/j.1365-2486.2012.02650.x

Warming-induced shift in European mushroom fruiting phenology

Kauserud, H., Heegaard, E., Buntgen, U., Halvorsen, R., Egli, S., Senn-Irlet, B., Krisai-Greilhuber, I., Damon, W., Sparks, T., Norden, J., Hoiland, K., Kirk, P., Semenov, M. A., Boddy, L. and Stenseth, N. C. 2012. Warming-induced shift in European mushroom fruiting phenology. Proceedings of the National Academy of Sciences. 109, pp. 14488-14493. https://doi.org/10.1073/pnas.1200789109

Future change of daily precipitation indices in Japan: a stochastic weather generator-based bootstrap approach to provide probabilistic climate information

Iizumi, T., Takayabu, I., Dairaku, K., Kusaka, H., Nishimori, M., Sakurai, G., Ishizaki, M. N., Adachi, S. A. and Semenov, M. A. 2012. Future change of daily precipitation indices in Japan: a stochastic weather generator-based bootstrap approach to provide probabilistic climate information. Journal of Geophysical Research. 117, p. D11114. https://doi.org/10.1029/2011JD017197

Simulation of environmental and genotypic variations of final leaf number and anthesis date for wheat

He, J., Le Gouis, J., Stratonovitch, P., Allard, V., Gaju, O., Heumez, E., Orford, S., Griffiths, S., Snape, J. W., Foulkes, M. J., Semenov, M. A. and Martre, P. 2012. Simulation of environmental and genotypic variations of final leaf number and anthesis date for wheat. European Journal of Agronomy. 42, pp. 22-33. https://doi.org/10.1016/j.eja.2011.11.002

Shortcomings in wheat yield predictions

Semenov, M. A., Mitchell, R. A. C., Whitmore, A. P., Hawkesford, M. J., Parry, M. A. J. and Shewry, P. R. 2012. Shortcomings in wheat yield predictions. Nature Climate Change. 2, pp. 380-382. https://doi.org/10.1038/nclimate1511

ELPIS-JP: a dataset of local-scale daily climate change scenarios for Japan

Iizumi, T., Semenov, M. A., Nishimori, M., Ishigooka, Y. and Kuwagata, T. 2012. ELPIS-JP: a dataset of local-scale daily climate change scenarios for Japan. Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences. 370, pp. 1121-1139. https://doi.org/10.1098/rsta.2011.0305

Modelling predicts that heat stress, not drought, will increase vulnerability of wheat in Europe

Semenov, M. A. and Shewry, P. R. 2011. Modelling predicts that heat stress, not drought, will increase vulnerability of wheat in Europe. Scientific Reports. 1, p. 66. https://doi.org/10.1038/srep00066

Erratum: The impact of climate change on disease constraints on production of oilseed rape

Evans, N., Butterworth, M. H., Baierl, A., Semenov, M. A., West, J. S., Barnes, A., Moran, D. and Fitt, B. D. L. 2011. Erratum: The impact of climate change on disease constraints on production of oilseed rape. Food Security. 3 (1), pp. 117-120. https://doi.org/10.1007/s12571-010-0105-0

Systems approaches to crop improvement (Aspects of Applied Biology 107)

Halford, N. G. and Semenov, M. A. (ed.) 2011. Systems approaches to crop improvement (Aspects of Applied Biology 107). Association of Applied Biologists (AAB) Wellesbourne Warwick .

Climate change affects winter chill for temperate fruit and nut trees

Luedeling, E., Girvetz, E. H., Semenov, M. A. and Brown, P. H. 2011. Climate change affects winter chill for temperate fruit and nut trees. PLOS ONE. 6, p. e20155 (13pp). https://doi.org/10.1371/journal.pone.0020155

Impacts of climate change on wheat anthesis and fusarium ear blight in the UK

Madgwick, J. W., West, J. S., Wright, R. P., Semenov, M. A., Townsend, J. A., Turner, J. A. and Fitt, B. D. L. 2011. Impacts of climate change on wheat anthesis and fusarium ear blight in the UK. European Journal of Plant Pathology. 130 (1), pp. 117-131. https://doi.org/10.1007/s10658-010-9739-1

The impact of climate change on disease constraints on production of oilseed rape

Evans, N., Butterworth, M. H., Baierl, A., Semenov, M. A., West, J. S., Barnes, A., Moran, D. and Fitt, B. D. L. 2010. The impact of climate change on disease constraints on production of oilseed rape. Food Security. 2 (2), pp. 143-156. https://doi.org/10.1007/s12571-010-0058-3

Preface (to Agriculture in a changing climate: special issue of Climate Research)

Tarquis, A. M., Gobin, A. and Semenov, M. A. 2010. Preface (to Agriculture in a changing climate: special issue of Climate Research). Climate Research. 44, pp. 1-2. https://doi.org/10.3354//cr00942

ELPIS: a dataset of local-scale daily climate scenarios for Europe

Semenov, M. A., Donatelli, M., Stratonovitch, P., Chatzidaki, E. and Baruth, B. 2010. ELPIS: a dataset of local-scale daily climate scenarios for Europe. Climate Research. 44 (1), pp. 3-15. https://doi.org/10.3354/cr00865

Adaptation to increasing severity of phoma stem canker on winter oilseed rape in the UK under climate change

Barnes, A. P., Wreford, A., Butterworth, M. H., Semenov, M. A., Moran, D., Evans, N. and Fitt, B. D. L. 2010. Adaptation to increasing severity of phoma stem canker on winter oilseed rape in the UK under climate change. The Journal of Agricultural Science. 148, pp. 683-694. https://doi.org/10.1017/S002185961000064X

Transient responses to increasing CO2 and climate change in an unfertilized grass-clover sward

Lazzarotto, P., Calanca, P., Semenov, M. A. and Fuhrer, J. 2010. Transient responses to increasing CO2 and climate change in an unfertilized grass-clover sward. Climate Research. 41, pp. 221-232. https://doi.org/10.3354/cr00847

Climate change and spring-fruiting fungi

Kauserud, H., Heegaard, E., Semenov, M. A., Boddy, L., Halvorsen, R., Stige, L. C., Sparks, T. H., Gange, A. C. and Stenseth, N. C. 2010. Climate change and spring-fruiting fungi. Proceedings of the Royal Society of London Series B Biological Sciences. 277, pp. 1169-1177. https://doi.org/10.1098/rspb.2009.1537

Use of multi-model ensembles from global climate models for assessment of climate change impacts

Semenov, M. A. and Stratonovitch, P. 2010. Use of multi-model ensembles from global climate models for assessment of climate change impacts. Climate Research. 41, pp. 1-14. https://doi.org/10.3354/cr00836

North-South divide: contrasting impacts of climate change on crop yields in Scotland and England

Butterworth, M. H., Semenov, M. A., Barnes, A., Moran, D., West, J. S. and Fitt, B. D. L. 2010. North-South divide: contrasting impacts of climate change on crop yields in Scotland and England. Journal of the Royal Society Interface. 7, pp. 123-130. https://doi.org/10.1098/rsif.2009.0111

Quantifying effects of simple wheat traits on yield in water-limited environments using a modelling approach

Semenov, M. A., Martre, P. and Jamieson, P. D. 2009. Quantifying effects of simple wheat traits on yield in water-limited environments using a modelling approach. Agricultural and Forest Meteorology. 149 (6-7), pp. 1095-1104. https://doi.org/10.1016/j.agrformet.2009.01.006

North-south divide: contrasting impacts of climate change on crop yields in Scotland and England

Butterworth, M. H., Semenov, M. A., Barnes, A., Moran, D., West, J. S. and Fitt, B. D. L. 2009. North-south divide: contrasting impacts of climate change on crop yields in Scotland and England. https://doi.org/10.1088/1755-1307/6/7/372051

Identifying target traits and molecular mechanisms for wheat breeding under a changing climate

Semenov, M. A. and Halford, N. G. 2009. Identifying target traits and molecular mechanisms for wheat breeding under a changing climate. Journal of Experimental Botany. 60, pp. 2791-2804. https://doi.org/10.1093/jxb/erp164

Impacts of climate change on wheat in England and Wales

Semenov, M. A. 2009. Impacts of climate change on wheat in England and Wales. Journal of the Royal Society Interface. 6 (33), pp. 343-350. https://doi.org/10.1098/rsif.2008.0285

Simulation of extreme weather events by a stochastic weather generator

Semenov, M. A. 2008. Simulation of extreme weather events by a stochastic weather generator. Climate Research. 35 (3), pp. 203-212. https://doi.org/10.3354/cr00731

Assessing the impact of climate change on the assembly and function of weed communities

Storkey, J., Semenov, M. A. and Neve, P. 2008. Assessing the impact of climate change on the assembly and function of weed communities. Effects of Climate Change on Plants: Implications for Agriculture. Aspects of Applied Biology 88 . Association of Applied Biologists (AAB) Wellesbourne Warwick . pp. 15-21

Extreme impacts of climate change on wheat in England and Wales

Semenov, M. A. 2008. Extreme impacts of climate change on wheat in England and Wales. Effects of Climate Change on Plants: Implications for Agriculture. Aspects of Applied Biology 88 . Association of Applied Biologists (AAB) Wellesbourne Warwick . pp. 37-38

Range and severity of phoma stem canker (Leptosphaeria maculans ) of winter oilseed rape (Brassica napus) increased by global warming

Evans, N., Baierl, A., Semenov, M. A., Gladders, P. and Fitt, B. D. L. 2008. Range and severity of phoma stem canker (Leptosphaeria maculans ) of winter oilseed rape (Brassica napus) increased by global warming.

Climate Research: a focal point for the climate and ecosystem-impact research communities

Stenseth, N. C. and Semenov, M. A. 2008. Climate Research: a focal point for the climate and ecosystem-impact research communities. Climate Research. 37 (1), p. 1. https://doi.org/10.3354/cr00756

Quantifying the effect of uncertainty in soil moisture characteristics on plant growth using a crop simulation model

Lawless, C., Semenov, M. A. and Jamieson, P. D. 2008. Quantifying the effect of uncertainty in soil moisture characteristics on plant growth using a crop simulation model. Field Crops Research. 106, pp. 138-147. https://doi.org/10.1016/j.fcr.2007.11.004

Range and severity of a plant disease increased by global warming

Evans, N., Baierl, A., Semenov, M. A., Gladders, P. and Fitt, B. D. L. 2008. Range and severity of a plant disease increased by global warming. Journal of the Royal Society Interface. 5, pp. 525-531. https://doi.org/10.1098/rsif.2007.1136

Utility of dynamical seasonal forecasts in predicting crop yield

Semenov, M. A. and Doblas-Reyes, F. J. 2007. Utility of dynamical seasonal forecasts in predicting crop yield. Climate Research. 34 (1), pp. 71-81. https://doi.org/10.3354/cr034071

Development of high-resolution UKCIP02-based climate change scenarios in the UK

Semenov, M. A. 2007. Development of high-resolution UKCIP02-based climate change scenarios in the UK. Agricultural and Forest Meteorology. 144 (1-2), pp. 127-138. https://doi.org/10.1016/j.agrformet.2007.02.003

The impact of climate change on sugarbeet yield in the UK: 1976-2004

Jaggard, K. W., Qi, A. and Semenov, M. A. 2007. The impact of climate change on sugarbeet yield in the UK: 1976-2004. The Journal of Agricultural Science. 145 (4), pp. 367-375. https://doi.org/10.1017/s0021859607006922

Severity of plant disease increased by global warming

Evans, N., Fitt, B. D. L., Baierl, A., Semenov, M. A. and Gladders, P. 2007. Severity of plant disease increased by global warming. RRA Newsletter. Issue 25, p. 4.

Reconciling alternative models of phenological development in winter wheat

Jamieson, P. D., Brooking, I. R., Semenov, M. A., Mcmaster, G. S., White, J. W. and Porter, J. R. 2007. Reconciling alternative models of phenological development in winter wheat. Field Crops Research. 103, pp. 36-41. https://doi.org/10.1016/j.fcr.2007.04.009

Deconvoluting nitrogen use efficiency in wheat: a simulation study

Semenov, M. A., Jamieson, P. D. and Martre, P. 2007. Deconvoluting nitrogen use efficiency in wheat: a simulation study. European Journal of Agronomy. 26, pp. 283-294. https://doi.org/10.1016/j.eja.2006.10.009

Assessing lead-time for predicting wheat growth using a crop simulation model

Lawless, C. and Semenov, M. A. 2005. Assessing lead-time for predicting wheat growth using a crop simulation model. Agricultural and Forest Meteorology. 135 (1-4), pp. 302-313. https://doi.org/10.1016/j.agrformet.2006.01.002

Use of an individual-based model to forecast the effect of climate change on the dynamics, abundance and geographical range of the pest slug Deroceras reticulatum in the UK

Willis, J. C., Bohan, D. A., Choi, Y. H., Conrad, K. F. and Semenov, M. A. 2006. Use of an individual-based model to forecast the effect of climate change on the dynamics, abundance and geographical range of the pest slug Deroceras reticulatum in the UK. Global Change Biology. 12 (9), pp. 1643-1657. https://doi.org/10.1111/j.1365-2486.2006.01201.x

Using weather generators in crop modelling

Semenov, M. A. 2006. Using weather generators in crop modelling. International Society of Horticultural Science (ISHS).

Modelling protein content and composition in relation to crop nitrogen dynamics for wheat

Martre, P., Jamieson, P. D., Semenov, M. A., Zyskowski, R. F., Porter, J. R. and Triboi, E. 2006. Modelling protein content and composition in relation to crop nitrogen dynamics for wheat. European Journal of Agronomy. 25, pp. 138-154. https://doi.org/10.1016/j.eja.2006.04.007

Modelling the variability of UK sugar beet yields under climate change and husbandry adaptations

Richter, G. M., Qi, A., Semenov, M. A. and Jaggard, K. W. 2006. Modelling the variability of UK sugar beet yields under climate change and husbandry adaptations. Soil Use and Management. 22 (1), pp. 39-47. https://doi.org/10.1111/j.1475-2743.2006.00018.x

Individual based model of slug population and spatial dynamics

Choi, Y. H., Bohan, D. A., Potting, R. P. J., Semenov, M. A. and Glen, D. M. 2006. Individual based model of slug population and spatial dynamics. Ecological Modelling. 190, pp. 336-350. https://doi.org/10.1016/j.ecolmodel.2005.04.019

Crop responses to climatic variation

Porter, J. R. and Semenov, M. A. 2005. Crop responses to climatic variation. Philosophical Transactions of the Royal Society B-Biological Sciences. 360 (1463), pp. 2021-2035. https://doi.org/10.1098/rstb.2005.1752

Assessing predictive skill of models to optimise crop management and design. Final report on Defra project AR0909

Sylvester-Bradley, R., Semenov, M. A., Lawless, C., Jaggard, K. W., Qi, A. and Foulkes, M. J. 2005. Assessing predictive skill of models to optimise crop management and design. Final report on Defra project AR0909.

Climate change, non-point pollution and land use: modelling interactions (End of Award report to ESRC on Rural Economy and Land Use Programme project RES 224 25 0002)

Hanley, N., Aftab, A., Black, A. and Semenov, M. A. 2005. Climate change, non-point pollution and land use: modelling interactions (End of Award report to ESRC on Rural Economy and Land Use Programme project RES 224 25 0002).

The effect of diverse climates on the forecasting lead-time of crop simulation models

Lawless, C. and Semenov, M. A. 2005. The effect of diverse climates on the forecasting lead-time of crop simulation models. Cambridge University Press (CUP).

Predicting a success of biological control of pest slugs using the slug-pathogenic nematode against pest slugs. Research grant report for grant MAF12241

Choi, Y., Semenov, M. A., Bohan, D. A. and Glen, D. M. 2005. Predicting a success of biological control of pest slugs using the slug-pathogenic nematode against pest slugs. Research grant report for grant MAF12241.

A wheat canopy model linking leaf area and phenology

Lawless, C., Semenov, M. A. and Jamieson, P. D. 2005. A wheat canopy model linking leaf area and phenology. European Journal of Agronomy. 22, pp. 19-32.

Comments on the use of statistical tests in the comparison of stochastic weather generators by Qian et al. (2004)

Semenov, M. A. and Welham, S. J. 2004. Comments on the use of statistical tests in the comparison of stochastic weather generators by Qian et al. (2004). Climate Research. 28 (1), pp. 83-84. https://doi.org/10.3354/cr028083

Modelling impacts of climate change on wheat yields in England and Wales: assessing drought risks

Richter, G. M. and Semenov, M. A. 2005. Modelling impacts of climate change on wheat yields in England and Wales: assessing drought risks. Agricultural Systems. 84 (1), pp. 77-97. https://doi.org/10.1016/j.agsy.2004.06.011

Individual based modelling of temporal and spatial slug dynamics

Choi, Y. H., Bohan, D. A. and Semenov, M. A. 2004. Individual based modelling of temporal and spatial slug dynamics. Cambridge University Press (CUP).

Modelling protein content and composition in wheat

Jamieson, P. D., Martre, P., Samoil, V., Porter, J. R., Zyskowski, R., Semenov, M. A. and Triboi, E. 2004. Modelling protein content and composition in wheat. Fischer, T. (ed.) New Directions for a Diverse Planet: Proceedings 4th International Crop Science Congress, Brisbane, 26-September-1 October 2002 . Regional Institute, Gosford. pp. www.cropscience.org.au

Modelling Deroceras reticulatum (Gastropoda) population dynamics based on daily temperature and rainfall

Choi, Y. H., Bohan, D. A., Powers, S. J., Wiltshire, C. W., Glen, D. M. and Semenov, M. A. 2004. Modelling Deroceras reticulatum (Gastropoda) population dynamics based on daily temperature and rainfall. Agriculture, Ecosystems & Environment. 103, pp. 519-525.

Impacts of climate change on the agricultural industry: a review of research outputs from DEFRA's CC03 and related research programmes

Hopkins, A., Richter, G. M., Coleman, K., Jaggard, K. W., Glendining, M. J., Semenov, M. A., Qi, A., Audsley, E., Hossell, J. E., Clemence, B., Fuller, M., Winter, D. M. and Butler, A. 2004. Impacts of climate change on the agricultural industry: a review of research outputs from DEFRA's CC03 and related research programmes.

A wheat canopy model linking leaf area and phenology

Lawless, C., Semenov, M. A. and Jamieson, P. D. 2003. A wheat canopy model linking leaf area and phenology. Cambridge University Press (CUP).

Comparison between deterministic and probabilistic algorithms of bounded Kolmogorov complexity

Semenov, M. A. 2003. Comparison between deterministic and probabilistic algorithms of bounded Kolmogorov complexity. Proceedings Genetic and Evolutionary Computation Conference, Chicago, 12-16 July 2003. pp. 260-263

Comparison of slug population dynamics at five sites in the UK

Willis, J. C., Bohan, D. A., Choi, Y., Semenov, M. A., Brown, V. K. and Gussin, E. 2003. Comparison of slug population dynamics at five sites in the UK. Slugs and Snails: Agricultural, Veterinary and Environmental Perspectives. BCPC Symposium Proceedings No. 80 . British Crop Protection Council (BCPC). pp. 171-176

A rational basis for design of wheat canopy ideotypes for UK environments. Final report for DEFRA project AR0906

Parker, S., Semenov, M. A. and Lawless, C. 2003. A rational basis for design of wheat canopy ideotypes for UK environments. Final report for DEFRA project AR0906.

Linking climate change predictions with crop simulation models

Semenov, M. A. 2003. Linking climate change predictions with crop simulation models. Proceedings BCPC International Congress - Crop Science and Technology 2003 . pp. 1181-1188

A wheat canopy model linking leaf area and phenology

Lawless, C., Semenov, M. A. and Jamieson, P. D. 2003. A wheat canopy model linking leaf area and phenology. Cambridge University Press (CUP).

Analysis of convergence of an evolutionary algorithm with self-adaptation using a stochastic Lyapunov function

Semenov, M. A. and Terkel, D. A. 2003. Analysis of convergence of an evolutionary algorithm with self-adaptation using a stochastic Lyapunov function. Evolutionary Computation. 11, pp. 363-379.

Slugs and nematodes in a fighting arena - individual based models of parasitism

Choi, Y. H., Bohan, D. A., Semenov, M. A., Potting, R. P. J. and Glen, D. M. 2003. Slugs and nematodes in a fighting arena - individual based models of parasitism. Slugs and Snails: Agricultural, Veterinary and Environmental Perspectives. British Crop Protection Council Symposium Proceedings No. 80 . British Crop Protection Council (BCPC). pp. 177-182

Modelling climatic impacts on yields of wheat and sugar beet in the UK

Richter, G. M., Jaggard, K. W., Mitchell, R. A. C. and Semenov, M. A. 2002. Modelling climatic impacts on yields of wheat and sugar beet in the UK. Knowledge transfer initiative on impacts and adaptation to climate change in agriculture. Project and workshop report . pp. 10-12

The effect of timing of water availability on grain protein concentration of winter wheat

Clarke, M. P., Gooding, M. J. and Semenov, M. A. 2002. The effect of timing of water availability on grain protein concentration of winter wheat. Abstracts 7th European Society of Agronomy Congress, Cordoba, 15-18 July 2002 .

Convergence velocity of an evolutionary algorithm with self-adaptation

Semenov, M. A. 2002. Convergence velocity of an evolutionary algorithm with self-adaptation. Proceedings Genetic and Evolutionary Computation Conference, GECCO 2002, New York, 9-13 July 2002 . pp. 210-214

Drought risk assessment for UK winter wheat under climate change

Richter, G. M., Mitchell, R. A. C. and Semenov, M. A. 2002. Drought risk assessment for UK winter wheat under climate change. ARIA newsletter. Issue 6.

Drought - greater risk for future wheat production in England?

Richter, G. M., Semenov, M. A. and Mitchell, R. A. C. 2002. Drought - greater risk for future wheat production in England? Abstracts 7th Congress of the European Society for Agronomy, Cordoba, 15-18 July 2002 .

Effects of elevated CO2 and drought on wheat: testing crop simulation models for different experimental and climatic conditions

Ewert, E., Rodriguez, D., Jamieson, P., Semenov, M. A., Mitchell, R. A. C., Goudriaan, J., Porter, J. R., Kimball, B. A., Pinter, P. J. Jr, Manderscheid, R., Weigel, H-J., Fangmeier, A., Fereres, E. and Villalobos, F. 2002. Effects of elevated CO2 and drought on wheat: testing crop simulation models for different experimental and climatic conditions. Agriculture, Ecosystems & Environment. 93 (1-3), pp. 249-266. https://doi.org/10.1016/S0167-8809(01)00352-8

Modelling the dynamics of slug and nematode interaction incorporating response to environmental variables

Choi, Y-H., Powers, S. J., Bohan, D. A., Semenov, M. A., Glen, D. M., Wiltshire, C. W. and Brain, P. 2001. Modelling the dynamics of slug and nematode interaction incorporating response to environmental variables. Abstracts IMA Conference on Mathematical Modelling and Statistical Analysis of Infectious Diseases, Cardiff, 11-13 September 2001 .

Analysis of evolutionary search with mutators using a stochastic Lyapunov function

Semenov, M. A. 2001. Analysis of evolutionary search with mutators using a stochastic Lyapunov function. Proceedings Genetics and Evolutionary Computation Conference (GECCO 2001), San Francisco, 8-11 July 2001 . pp. 372-376

Modelling a slug population using differential equations

Choi, Y-H., Powers, S. J., Bohan, D. A., Wiltshire, C. W., Glen, D. M. and Semenov, M. A. 2001. Modelling a slug population using differential equations. Abstracts Meeting of the OILB/IOBC Working Group on Integrated Control of Soil Pests, Subgroup on Integrated Control of Slugs and Snails, Lyons, 8-9 March 2001 .

Testing SIRIUS predictions against wheat data sets in the UK

Richter, G. M., Semenov, M. A. and Mitchell, R. A. C. 2001. Testing SIRIUS predictions against wheat data sets in the UK. Abstracts 2nd International Symposium on Modelling Cropping Systems, Florence, 16-18 July 2001. pp. 165-166

Simplifying SIRIUS: development of a metamodel for wheat yield prediction

Semenov, M. A., Brooks, R. J. and Jamieson, P. D. 2001. Simplifying SIRIUS: development of a metamodel for wheat yield prediction. Abstracts 2nd International Symposium on Modelling Cropping Systems, Florence, 16-18 July 2001.

Modelling the effects of CO2 and drought on wheat for different climatic conditions and cultivars

Ewert, F. 2001. Modelling the effects of CO2 and drought on wheat for different climatic conditions and cultivars. IACR Rothamsted Experimental Station, Harpenden.

Improving wheat model accuracy and suitability for regional impact assessment. Final report of the IMPETUS European Commission Project ENV4-CT97-0496

Mitchell, R. A. C. and Semenov, M. A. 2001. Improving wheat model accuracy and suitability for regional impact assessment. Final report of the IMPETUS European Commission Project ENV4-CT97-0496. IACR Rothamsted Experimental Station, Harpenden.

Performance of the models with multiple-site and regional observed wheat yield data

Richter, G. M., Ewert, F., Rodrigues, D. and Fereres, E. 2001. Performance of the models with multiple-site and regional observed wheat yield data. IACR Rothamsted Experimental Station, Harpenden.

Towards modelling quality in wheat - from grain nitrogen concentration to protein composition

Jamieson, P. D., Stone, P. J. and Semenov, M. A. 2001. Towards modelling quality in wheat - from grain nitrogen concentration to protein composition. Wheat Quality. Aspects of Applied Biology 64 . pp. 111-126

The effect of the timing of water availability on soil nitrogen, nitrogen uptake and grain protein concentration of winter wheat

Clarke, M. P., Gooding, M. J. and Semenov, M. A. 2001. The effect of the timing of water availability on soil nitrogen, nitrogen uptake and grain protein concentration of winter wheat. Wheat Quality. Aspects of Applied Biology 64 . pp. 103-110

Simplifying Sirius: sensitivity analysis and development of a meta-model for wheat yield prediction

Brooks, R. J., Semenov, M. A. and Jamieson, P. D. 2001. Simplifying Sirius: sensitivity analysis and development of a meta-model for wheat yield prediction. European Journal of Agronomy. 14 (1), pp. 43-60. https://doi.org/10.1016/S1161-0301(00)00089-7

Modelling CO2 effects on wheat with varying nitrogen supplies

Jamieson, P. D., Berntsen, J., Ewert, F., Kimball, B. A., Olesen, J. E., Pinter, P. J. Jr., Porter, J. R. and Semenov, M. A. 2000. Modelling CO2 effects on wheat with varying nitrogen supplies. Agriculture, Ecosystems & Environment. 82, pp. 27-37.

Modelling nitrogen uptake and redistribution in wheat

Jamieson, P. D. and Semenov, M. A. 2000. Modelling nitrogen uptake and redistribution in wheat. Field Crops Research. 68, pp. 21-29. https://doi.org/10.1016/S0378-4290(00)00103-9

Towards stability of food production and farm income in a variable climate

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