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播种时间和品种选择对管理气候变化的有效性:小麦作物物候和水分利用效率。

Effectiveness of time of sowing and cultivar choice for managing climate change: wheat crop phenology and water use efficiency.

机构信息

School of Life Sciences, University of Technology Sydney, Sydney, Australia.

School of Life and Environmental Science, University of Sydney, Sydney, Australia.

出版信息

Int J Biometeorol. 2018 Jun;62(6):1049-1061. doi: 10.1007/s00484-018-1508-4. Epub 2018 Feb 8.

Abstract

Climate change (CC) presents a challenge for the sustainable development of wheat production systems in Australia. This study aimed to (1) quantify the impact of future CC on wheat grain yield for the period centred on 2030 from the perspectives of wheat phenology, water use and water use efficiency (WUE) and (2) evaluate the effectiveness of changing sowing times and cultivars in response to the expected impacts of future CC on wheat grain yield. The daily outputs of CSIRO Conformal-Cubic Atmospheric Model for baseline and future periods were used by a stochastic weather generator to derive changes in mean climate and in climate variability and to construct local climate scenarios, which were then coupled with a wheat crop model to achieve the two research aims. We considered three locations in New South Wales, Australia, six times of sowing (TOS) and three bread wheat (Triticum aestivum L.) cultivars in this study. Simulation results show that in 2030 (1) for impact analysis, wheat phenological events are expected to occur earlier and crop water use is expected to decrease across all cases (the combination of three locations, six TOS and three cultivars), wheat grain yield would increase or decrease depending on locations and TOS; and WUE would increase in most of the cases; (2) for adaptation considerations, the combination of TOS and cultivars with the highest yield varied across locations. Wheat growers at different locations will require different strategies in managing the negative impacts or taking the opportunities of future CC.

摘要

气候变化(CC)对澳大利亚小麦生产系统的可持续发展提出了挑战。本研究旨在(1)从小麦物候、水分利用和水分利用效率(WUE)的角度量化未来 CC 对小麦籽粒产量的影响,时间集中在 2030 年前后;(2)评估改变播种时间和品种以应对未来 CC 对小麦籽粒产量的预期影响的有效性。CSIRO 共形立方大气模型的日输出被随机天气发生器用于推导平均气候和气候变异性的变化,并构建局部气候情景,然后将这些情景与小麦作物模型耦合,以实现这两个研究目标。本研究考虑了澳大利亚新南威尔士州的三个地点、六种播种时间(TOS)和三种面包小麦(Triticum aestivum L.)品种。模拟结果表明,在 2030 年(1)对于影响分析,预计所有情况下(三个地点、六种 TOS 和三种品种的组合)小麦物候事件将提前发生,作物耗水量将减少,小麦籽粒产量将根据地点和 TOS 而增加或减少;WUE 将在大多数情况下增加;(2)对于适应考虑,具有最高产量的 TOS 和品种的组合因地点而异。不同地点的小麦种植者将需要不同的策略来管理未来 CC 的负面影响或抓住机会。

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