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MODELLING THE PERFORMANCE OF DIFFERENT WHEAT VARIETIES UNDER CHANGED CLIMATETOWARDS BETTER ADAPTATION

机译:适应气候变化后对不同小麦品种的表现进行建模

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Continued global warming and associated changes in regional rainfall patterns have raised concerns for the sustainability of many agricultural industries in Australia and the World. Examining adaptation options to cope with changed regional climate conditions have often involved simulating the mitigating effects of management interventions e. G.Shifting planting windows ,planting densities and row configurations. Less emphasis has been placed on examining the impact of changing crop varieties and crop types. In this study, the performance of five wheat varieties ( Hartog, Janz, Sunco, Batavia, and Sunbrook) were examined under historical climate and derived climate change scenarios for 2 050 ([CO2] = 570ppm, T + 2.3°C,P - 6. 95%) and 2 070 ( ECO2 ] = 720ppm, T + 3.8°C, P - 9.75% ) at Wagga Wagga, NSW, Australia. The simulation results confirmed that the impacts of the projected climate change on yields were strongly varietydependent. Amongst the five wheat varieties examined,the mid-maturing varieties Janz and Sunco performed best under historical climate, with average yields of 4. 5t/ha. The average yield of other varieties ranged from 4. 0 ~ 4.4t/ha. Under the 2050 climate change scenario, 0. 9%, 1.4%, 8.9% and 7.6% yield increases were simulated for the Janz,Sunco, Batavia and Sunbrook varieties, but 2.2% yield decrease for the early maturing Hartog.Simulated yields under 2070 climate conditions declined for the Hartog, Janz, and Sunco varieties by 11.8% ,5.7% and 4. 6% ,but increased for two late maturing varieties namely Batavia and Sunbrook by 7. 1% and 8.8% respectively. The results of this study demonstrate that the impacts of climate change can be offset through site-specific varietal changes
机译:持续的全球变暖和相关的区域降雨模式变化引起了人们对澳大利亚和世界许多农业产业可持续性的关注。检查适应方案以应对不断变化的区域气候条件通常涉及模拟管理干预措施的缓解效果。 G.改变种植窗,种植密度和行形。较少强调研究变化的作物品种和作物类型的影响。在这项研究中,研究了5个小麦品种(Hartog,Janz,Sunco,Batavia和Sunbrook)在历史气候和2050([CO2] = 570ppm,T + 2.3°C,P-在澳大利亚新南威尔士州Wagga Wagga的6. 95%)和2070(ECO2] = 720ppm,T + 3.8°C,P-9.75%)。模拟结果证实,预计的气候变化对单产的影响强烈依赖于品种。在所研究的五个小麦品种中,Janz和Sunco的中熟品种在历史气候下表现最佳,平均单产为4. 5t / ha。其他品种的平均产量为4. 0〜4.4t / ha。在2050年气候变化情景下,Janz,Sunco,Batavia和Sunbrook品种模拟增产0. 9%,1.4%,8.9%和7.6%,但Hartog早熟品种的增产减少2.2%.2070年以下的模拟产量Hartog,Janz和Sunco品种的气候条件下降了11.8%,5.7%和4.6%,但Batavia和Sunbrook两个晚熟品种的气候条件分别上升了7、1%和8.8%。这项研究的结果表明,可以通过特定地点的品种变化来抵消气候变化的影响

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