poplaist.blogg.se - Asseng apsim rue wheat

Using historical climate observations to understand future climate change crop yield impacts in the southeastern US(2015)īenchmark data set for wheat growth models: field experiments and AgMIP multi-model simulations(2015) Handbook of Climate Change and Agroecosystems, Chapter 10 Uncertainties in Scaling-Up Crop Models for Large-Area Climate Change Impact Assessments(2015) Variability of effects of spatial climate data aggregation on regional yield simulation by crop models (2015) Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations(2015) The AgMIP coordinated climate-crop modeling project (C3MP): Methods and protocols (2015) Testing the responses of four wheat crop models to heat stress at anthesis and grain filling(2015)Ī statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration (2015) Response of wheat growth, grain yield and water use to elevated CO2 under a free-air CO2 enrichment (FACE) experiment and modelling in a semi-arid environment(2015) Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces(2015) Impact of climate change on wheat flowering time in eastern Australia (2015) Modelling the effects of heat stress on post-heading durations in wheat: A comparison of temperature response routines (2016)Įffect of weather data aggregation on regional crop simulation for different crops, production conditions, and response variables(2015)Ĭanopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: A multi-model comparison (2015)Įffects of climate trends and variability on wheat yield variability in eastern Australia(2015) Simulating cultivar variations in potato yields for contrasting environments (2016) Simulating the impact of source-sink manipulations in wheat(2016) Is a 10-day rainfall forecast of value in dry-land wheat cropping? (2016) Course: ABE 5646 Agricultural & Biological Systems Simulation.Chair (elected) of Climatology and Modeling Section, Agronomy Society of America.Chair (elected) of Expert Working Group for Plant and Crop Modeling of international Wheat Initiative.Principal Investigator of Southeast Climate Consortium (SECC).Co-Leader of AgMIP-Wheat (Agricultural Model Intercomparison and Improvement Project for Wheat).48, 678-687.Agricultural & Biological Engineering Department Simulation-based analysis of effects of Ppd and Vrn loci on flowering in wheat. Kluwer Academic Publ., Dordrecht, the Netherlands, pp. Understanding options for agricultural production. CERES-Wheat: A user oriented wheat yield model. Photoperiod and vernalization effect on anthesis date in winter-sown spring wheat regions.

Ottman, M.J., Anthony Hunt, L., White, J.W., 2013. Cropsim-Wheat: A model describing the growth and development of wheat. Uncertainty in simulating wheat yields under climate change.

Characterizing local variability in crop phenology (Ottman et al., 2013)Īsseng, S., Ewert, F., Rosenzweig, C., Jones, J.W., Hatfield, J.L., Ruane, A.C., Boote, K.J., Thorburn, P.J., Rotter, R.P., Cammarano, D., Brisson, N., Basso, B., Martre, P., Aggarwal, P.K., Angulo, C., Bertuzzi, P., Biernath, C., Challinor, A.J., Doltra, J., Gayler, S., Goldberg, R., Grant, R., Heng, L., Hooker, J., Hunt, L.A., Ingwersen, J., Izaurralde, R.C., Kersebaum, K.C., Muller, C., Naresh Kumar, S., Nendel, C., O/’Leary, G., Olesen, J.E., Osborne, T.M., Palosuo, T., Priesack, E., Ripoche, D., Semenov, M.A., Shcherbak, I., Steduto, P., Stockle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Travasso, M., Waha, K., Wallach, D., White, J.W., Williams, J.R., Wolf, J., 2013.

Gene-based modeling (White et al., 2008).

AgMIP wheat model intercomparisons (Asseng et al., 2013).

Minor modifications were made to phenology routines to avoid unrealistic behavior under certain, extreme conditions.Įxamples of applications of CERES-Wheat include: Recent development work on CERES-Wheat has largely focused on ensuring that, so far as possible, model parameters of CERES-Wheat and CROPSIM-Wheat (Hunt and Pararajasingham, 1995) are defined in a comparable manner. (1998) provides additional information on how growth, development and yield are simulated.

The temperature effects includes a response to vernalizing temperatures, which allows distinguishing among the phenology of spring, facultative and winter wheats. Development is potentially affected both by temperature and daylength. Growth is modeled via a radiation use efficiency approach. Bread and durum wheat may be simulated using the CERES-Wheat model, whose origins trace back to modeling efforts of Joe Ritchie and colleagues in the 1970s (Ritchie et al., 1984).