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Simulation of spring wheat responses to elevated CO2 and temperature by using CERES-wheat crop model

机译:利用CERES-小麦模型模拟春小麦对CO2和温度升高的响应

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The CERES-wheat crop simulation model was used to estimate the changes in phenological development and yield production of spring wheat (Triticum aestivum L., cv. Polkka) under different temperature and CO2 growing conditions. The effects of elevated temperature (3-4?°C) and CO2 concentration (700 ppm) as expected for Finland in 2100 were simulated. The model was calibrated for long-day growing conditions in Finland. The CERES-wheat genetic coefficients for cv. Polkka were calibrated by using the MTT Agrifood Research Finland (MTT) official variety trial data (1985-1990). Crop phenological development and yield measurements from open-top chamber experiments with ambient and elevated temperature and CO2 treatments were used to validate the model. Simulated mean grain yield under ambient temperature and CO2 conditions was 6.16 t ha-1 for potential growth (4.49 t ha-1 non-potential) and 5.47 t ha-1 for the observed average yield (1992-1994) in ambient open-top chamber conditions. The simulated potential grain yield increased under elevated CO2 (700 ppm) to 142% (167% non-potential) from the simulated reference yield (100%, ambient temperature and CO2 350 ppm). Simulations for current sowing date and elevated temperature (3?°C) indicate accelerated anthesis and full maturity. According to the model estimations, potential yield decreased on average to 80.4% (76.8% non-potential) due to temperature increase from the simulated reference. When modelling the concurrent elevated temperature and CO2 interaction, the increase in grain yield due to elevated CO2 was reduced by the elevated temperature. The combined CO2 and temperature effect increased the grain yield to 106% for potential growth (122% non-potential) compared to the reference. Simulating the effects of earlier sowing, the potential grain yield increased under elevated temperature and CO2 conditions to 178% (15 days earlier sowing from 15 May, 700 ppm CO2, 3?°C) from the reference. Simulation results suggest that earlier sowing will substantially increase grain yields under elevated CO2 growing conditions with genotypes currently cultivated in Finland, and will mitigate the decrease due to elevated temperature. A longer growing period due to climate change will potentially enable cultivation of new cultivars adapted to a longer growing period. Finally, adaptation strategies for the crop production under elevated temperature and CO2 growing conditions are presented.;
机译:使用CERES-小麦作物模拟模型来估算在不同温度和CO 2生长条件下春小麦(Triticum aestivum L.,cv。Polkka)物候发育和单产的变化。模拟了芬兰在2100年预期的高温(3-4?C)和CO2浓度(700 ppm)的影响。该模型已针对芬兰的长期生长条件进行了校准。 CERES的小麦遗传系数。通过使用MTT芬兰农业食品研究(MTT)官方品种试验数据(1985-1990年)对Polkka进行了校准。利用在室温,高温和CO2处理下的开顶室实验获得的作物物候发育和产量测量值用于验证模型。在环境温度和CO2条件下,模拟的平均谷物单产潜力增长为6.16 t ha-1(非潜在潜力为4.49 t ha-1),而在露天环境下,观察到的平均产量(1992-1994)为5.47 t ha-1房间条件。在升高的CO2(700 ppm)下,模拟的潜在谷物产量从模拟的参考产量(100%,环境温度和CO2 350 ppm)增加到142%(非潜在的167%)。对当前播种日期和升高的温度(3℃)的模拟表明,花期加快且完全成熟。根据模型估算,由于模拟参考物的温度升高,潜在产量平均下降至80.4%(非潜在产量为76.8%)。当对同时发生的高温和CO2相互作用进行建模时,由于高温而导致的因CO2升高引起的谷物产量增加被降低。与参考值相比,CO2和温度的综合影响使潜在产量的谷物产量提高到106%(非潜在产量为122%)。模拟较早播种的影响,在升高的温度和CO2条件下,潜在的籽粒产量从参考值增加至17.8%(从5月15日开始播种15天,700 ppm CO2,3?C)。模拟结果表明,在芬兰目前种植的基因型较高的CO2生长条件下,较早播种将大大提高谷物单产,并减轻因温度升高而造成的减产。由于气候变化而导致的较长生长期将有可能使新品种的种植适应较长生长期。最后,提出了在高温和二氧化碳生长条件下作物生产的适应策略。

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