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Winter wheat yield response to climate variability in Denmark

Published online by Cambridge University Press:  23 August 2010

K. KRISTENSEN ,
K. SCHELDE  and
J. E. OLESEN
K. KRISTENSEN*
Affiliation:
Department of Genetics, Faculty of Agricultural Sciences, Aarhus University, DK-8830 Tjele, Denmark
K. SCHELDE
Affiliation:
Department of Agroecology and Environment, Faculty of Agricultural Sciences, Aarhus University, DK-8830 Tjele, Denmark
J. E. OLESEN
Affiliation:
Department of Agroecology and Environment, Faculty of Agricultural Sciences, Aarhus University, DK-8830 Tjele, Denmark
*
*To whom all correspondence should be addressed. Email: Kristian.Kristensen@agrsci.dk
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Summary

Data on grain yield from field trials on winter wheat under conventional farming, harvested between 1992 and 2008, were combined with daily weather data available for 44 grids covering Denmark. Nine agroclimatic indices were calculated and used for describing the relation between weather data and grain yield. These indices were calculated as average temperature, radiation and precipitation during winter (1 October–31 March), spring (1 April–15 June) and summer (16 June–31 July), and they were included as linear and quadratic covariates in a mixed regression model. The model also included an effect of year to describe the change in yield caused by unrecorded variables such as management changes. The final model included all effects that were significant for at least one of the two soil types (sandy and loamy soils). Seven of the nine agroclimatic indices were included in the final model that was used to predict the wheat grain yield under five climate scenarios (a baseline for 1985 and two climate change projections for 2020 and 2040) for two soil types and two locations in Denmark.

The agroclimatic index for summer temperature showed the strongest effect causing lower yields with increasing temperature, whereas yield increased with increasing radiation during summer and spring. Winter precipitation and spring temperature did not affect grain yield significantly. Grain yield responded non-linearly to mean winter temperature with the highest yield at 4·4°C and lower yields both below and above this inflection point.

The application of the model predicted that the average yield would decrease under projected climate change. The average decrease varied between 0·1 and 0·8 t/ha (comparable to a relative reduction of 1·6–12.3%) depending on the climate projection, location and soil type. On average, the grain yield decreased by about 0·25 t/ha (c. 3.6%) from 1985 to 2020 and by about 0·55 t/ha (c. 8·0%) from 1985 to 2040. The predicted yield decrease depended on climate projection and was larger for wheat grown in West Zealand than in Central Jutland and in most cases also larger for loamy soils than for sandy soils.

The inter-annual variation in grain yield varied greatly between climate projections. The coefficient of variation (CV) varied between 0·16 and 0·46 and was smallest for wheat grown on loamy soils in Central Jutland in the baseline climate and largest for winter wheat grown under one of the 2040 climate projections. The increase in CV is not so much an effect of increased climatic variability under the climate change projections, but more an effect of increased winter temperature, where more extreme winter temperatures (lower or higher than the inflection point at 4·4°C) increased the effect of winter temperatures.

Type
Climate Change and Agriculture
Information
The Journal of Agricultural Science , Volume 149 , Issue 1 , February 2011 , pp. 33 - 47
Copyright
Copyright © Cambridge University Press 2010

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References

REFERENCES

Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control 19, 716–723.CrossRefGoogle Scholar
Alcamo, J., Moreno, J. M., Nováky, B., Bindi, M., Corobov, R., Devoy, R. J. N., Giannakopoulos, C., Martin, E., Olesen, J. E. & Shvidenko, A. (2007). Europe. In Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (Eds Parry, M. L., Canziani, O. F., Palutikof, J. P., Van Der Linden, P. J. & Hanson, C. E.), pp. 541–580. Cambridge, UK: Cambridge University Press.Google Scholar
Beniston, M. (2009). Trends in joint quantiles of temperature and precipitation in Europe since 1901 and projected for 2100. Geophysical Research Letters 36, L07707, doi: 10.1029/2008GL037119.CrossRefGoogle Scholar
Frich, P., Rosenørn, S., Madsen, H. & Jensen, J. J. (1997). Observed Precipitation in Denmark, 1961–90. Danish Meteorological Institute Technical Report 97–8. Copenhagen, Denmark: DMI.Google Scholar
Fuller, W. A. (1987). Measurement Error Models. New York: John Wiley and Sons.CrossRefGoogle Scholar
Gavito, M. E., Curtis, P. S., Mikkelsen, T. N. & Jakobsen, I. (2001). Interactive effects of soil temperature, atmospheric carbon dioxide and soil N on root development, biomass and nutrient uptake of winter wheat during vegetative growth. Journal of Experimental Botany 52, 1913–1923.CrossRefGoogle ScholarPubMed
Ghaffari, A., Cook, H. F. & Lee, H. C. (2002). Climate change and winter wheat management: a modelling scenario for south-eastern England. Climatic Change 55, 509–533.CrossRefGoogle Scholar
Heidmann, T., Christensen, B. T. & Olesen, S. E. (2002). Changes in soil C and N content in different cropping systems and soil types. In Greenhouse Gas Inventories for Agriculture in the Nordic Countries (Eds Petersen, S. O. & Olesen, J. E.), pp. 77–86. DIAS Report 81, Plant Production. Tjele, Denmark: Aarhus University.Google Scholar
Jones, P. D. & Moberg, A. (2003). Hemispheric and large scale surface air temperature variations: an extensive revision and an update to 2001. Journal of Climate 16, 206–223.2.0.CO;2>CrossRefGoogle Scholar
Jørgensen, L. N., Nielsen, G. C., Ørum, J. E., Jensen, J. E. & Pinnschmidt, H. O. (2008). Integrating disease control in winter wheat – optimizing fungicide input. Outlooks on Pesticide Management 19, 206–213.CrossRefGoogle Scholar
Klein Tank, A. M. G., Wijngaard, J. B., Können, G. P., Böhm, R., Demarée, G., Gocheva, A., Mileta, M., Pashiardis, S., Hejkrlik, L., Kern-Hansen, C., Heino, R., Bessemoulin, P., Müller-Westermeier, G., Tzanakou, M., Szalai, S., Pálsdóttir, T., Fitzgerald, D., Rubin, S., Capaldo, M., Maugeri, M., Leitass, A., Bukantis, A., Aberfeld, R., van Engelen, A. F. V., Forland, E., Mietus, M., Coelho, F., Mares, C., Razuvaev, V., Nieplova, E., Cegnar, T., López, J. A., Dahlström, B., Moberg, A., Kirchhofer, W., Ceylan, A., Pachaljuk, O., Alexander, L. V. & Petrovic, P. (2002). Daily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment. International Journal of Climatology 22, 1441–1453.CrossRefGoogle Scholar
Landau, S., Mitchell, R. A. C., Barnett, V., Colls, J. J., Craigon, J. & Payne, R. W. (2000). A parsimonious, multiple-regression model of wheat yield response to environment. Agricultural and Forest Meteorology 101, 151–166.CrossRefGoogle Scholar
Lobell, D. B. & Field, C. B. (2007). Global scale climate-crop yield relationships and the impacts of recent warming. Environmental Research Letters 2, 014002. doi: 10.1088/1748-9326/2/1/014002.CrossRefGoogle Scholar
Madsen, H. B., Nørr, A. H. & Holst, A. (1992). Atlas of Denmark. Series I, Volume 3. The Danish Soil Classification. Reitzel, Copenhagen: Royal Danish Geographical Society.Google Scholar
Monteith, J. L. (1977). Climate and efficiency of crop production in Britain. Philosophical Transactions of the Royal Society of London Series B 281, 277–294.Google Scholar
Nakicenovic, N., Alcamo, J., Davis, G., de Vries, B., Fenhann, J., Gaffin, S., Gregory, K., Grübler, A., Jung, T. Y., Kram, T., Lebre la Rovere, E., Michaelis, L., Mori, S., Morita, T., Pepper, W., Pitcher, H., Price, L., Riahi, K., Roehrl, A., Rogner, H.-H., Sankovski, A., Schlesinger, M. E., Shukla, P. R., Smith, S., Swart, R. J., van Rooijen, S., Victor, N. & Dadi, Z. (2000). Special Report on Emissions Scenarios. Cambridge, UK: Cambridge University Press.Google Scholar
Olesen, J. E. & Bindi, M. (2002). Consequences of climate change for European agricultural productivity, land use and policy. European Journal of Agronomy 16, 239–262.CrossRefGoogle Scholar
Olesen, J. E., Bøcher, P. K. & Jensen, T. (2000 a). Comparison of scales of climate and soil data for aggregating simulated yields of winter wheat. Agriculture, Ecosystems and Environment 82, 213–228.CrossRefGoogle Scholar
Olesen, J. E., Jensen, T. & Petersen, J. (2000 b). Sensitivity of field-scale winter wheat production in Denmark to climate variability and climate change. Climate Research 15, 221–238.CrossRefGoogle Scholar
Olesen, J. E., Mortensen, J. V., Jørgensen, L. N. & Andersen, M. N. (2000 c). Irrigation strategy, nitrogen application and fungicide control in winter wheat on a sandy soil. I. Yield, yield components and nitrogen uptake. Journal of Agricultural Science, Cambridge 134, 1–11.CrossRefGoogle Scholar
Olesen, J. E., Petersen, B. M., Berntsen, J., Hansen, S., Jamieson, P. D. & Thomsen, A. G. (2002). Comparison of methods for simulating effects of nitrogen on green area index and dry matter growth in winter wheat. Field Crops Research 74, 131–149.CrossRefGoogle Scholar
Olesen, J. E., Jørgensen, L. N., Petersen, J. & Mortensen, J. V. (2003). Effects of rates and timing of nitrogen fertiliser on disease control by fungicides in winter wheat. 1. Crop yield and nitrogen uptake. Journal of Agricultural Science, Cambridge 140, 1–13.CrossRefGoogle Scholar
Olesen, J. E., Carter, T. R., Diaz-Ambrona, C. H., Fronzek, S., Heidmann, T., Hickler, T., Holt, T., Minguez, M. I., Morales, P., Palutikof, J., Quemada, M., Ruiz-Ramos, M., Rubæk, G., Sau, F., Smith, B. & Sykes, M. (2007). Uncertainties in projected impacts of climate change on European agriculture and ecosystems based on scenarios from regional climate models. Climatic Change 81(Suppl. 1), 123–143.CrossRefGoogle Scholar
Ortiz, R., Sayre, K. D., Govaerts, B., Gupta, R., Subbarao, G. V., Ban, T., Hodson, D., Dixon, J. M., Ortiz-Monasterio, J. I. & Reynolds, M. (2008). Can wheat beat the heat? Agriculture Ecosystems and Environment 126, 46–58.CrossRefGoogle Scholar
Pinheiro, J., Bates, D., Debroy, S. & Sarkar, D. (2009). Package ‘nlme’, version 3.1-92. Linear and Non-linear Mixed Effects Models. Vienna: CRAN. Available online at http://mirrors.dotsrc.org/cran/web/packages/nlme/nlme.pdf (verified 2 July 2010).Google Scholar
Shaw, M. W., Bearchell, S. J., Fitt, B. D. L. & Fraaije, B. A. (2008). Long-term relationships between environment and abundance in wheat of Phaeosphaeria nodorum and Mycosphaerella graminicola. New Phytologist 177, 229–238.CrossRefGoogle ScholarPubMed
Semenov, M. A. (2007). Development of high-resolution UKCIP02-based climate change scenarios in the UK. Agricultural and Forest Meteorology 144, 127–138.CrossRefGoogle Scholar
Semenov, M. A., Wolf, J., Evans, L. G., Eckersten, H. & Iglesias, A. (1996). Comparison of wheat simulation models under climate change. II. Application of climate change scenarios. Climate Research 7, 271–281.CrossRefGoogle Scholar
Trenberth, K. E., Jones, P. D., Ambenje, P., Bojariu, R., Easterling, D., Klein Tank, A., Parker, D., Rahimzadeh, F., Renwick, J. A., Rusticucci, M., Soden, B. & Zhai, P. (2007). Observations: Surface and atmospheric climate change. In Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (Eds Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tigor, M. & Miller, H. L.), pp. 235–336. Cambridge, UK: Cambridge University Press.Google Scholar
Trnka, M., Dubrovsky, M., Semeradova, D. & Zalud, Z. (2004). Projections of uncertainties in climate change scenarios into expected winter wheat yields. Theoretical and Applied Climatology 77, 229–249.CrossRefGoogle Scholar
van Ittersum, M. K., Howden, S. M. & Asseng, S. (2003). Sensitivity of productivity and deep drainage of wheat cropping systems in a Mediterranean environment to changes in CO2, temperature and precipitation. Agriculture Ecosystems and Environment 97, 255–273.CrossRefGoogle Scholar
Weiss, A., Hays, C. J. & Won, J. (2003). Assessing winter wheat responses to climate change scenarios: a simulation study in the U.S. Great Plains. Climatic Change 58, 119–147.CrossRefGoogle Scholar
Wolf, J., Evans, L. G., Semenov, M. A., Eckersten, H. & Iglesias, A. (1996). Comparison of wheat simulation models under climate change. I. Model calibration and sensitivity analyses. Climate Research 7, 253–270.CrossRefGoogle Scholar