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温度频率趋势对二氧化碳浓度升高条件下粳稻产量及干物质分配的影响

Effects of temperature frequency trends on projected japonica rice ( L.) yield and dry matter distribution with elevated carbon dioxide.

作者信息

Zhou Zeyu, Jin Jiming, Song Libing, Yan Ling

机构信息

College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi Province, China.

Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi Province, China.

出版信息

PeerJ. 2021 Mar 11;9:e11027. doi: 10.7717/peerj.11027. eCollection 2021.

Abstract

In this study, we investigated the effects of temperature frequency trends on the projected yield and dry matter distribution of japonica rice ( L.) with elevated carbon dioxide (CO) under future climate change scenarios in northwestern China. The Crop Environment Resource Synthesis (CERES)-Rice model was forced with the outputs from three general circulation models (GCMs) to project the rice growth and yield. Future temperature trends had the most significant impact on rice growth, and the frequency of higher than optimal temperatures (∼24-28 C) for rice growth showed a marked increase in the future, which greatly restricted photosynthesis. The frequency of extreme temperatures (>35 C) also increased, exerting a strong impact on rice fertilization and producing a significantly reduced yield. Although the increased temperature suppressed photosynthetic production, the elevated CO stimulated this production; therefore, the net result was determined by the dominant process. The aboveground biomass at harvest trended downward when temperature became the major factor in photosynthetic production and trended upward when CO-fertilization dominated the process. The trends for the leaf and stem dry matter at harvest were affected not only by changes in photosynthesis but also by the dry matter distribution to the panicles. The trends for the rice panicle dry matter at harvest were closely related to the effects of temperature and CO on photosynthetic production, and extreme temperatures also remarkably affected these trends by reducing the number of fertilized spikelets. The trends of rice yield were very similar to those of panicle dry matter because the panicle dry matter is mostly composed of grain weight (yield). This study provides a better understanding of the japonica rice processes, particularly under extreme climate scenarios, which will likely become more frequent in the future.

摘要

在本研究中,我们调查了在中国西北未来气候变化情景下,温度频率趋势对二氧化碳(CO₂)浓度升高条件下粳稻产量和干物质分配的影响。利用三种全球气候模型(GCMs)的输出结果驱动作物环境资源综合(CERES)-水稻模型,来预测水稻生长和产量。未来温度趋势对水稻生长影响最为显著,水稻生长高于最佳温度(约24-28℃)的频率在未来显著增加,这极大地限制了光合作用。极端温度(>35℃)的频率也增加,对水稻受精产生强烈影响,导致产量显著降低。尽管温度升高抑制了光合生产,但CO₂浓度升高则刺激了这种生产;因此,最终结果取决于主导过程。当温度成为光合生产的主要因素时,收获时地上生物量呈下降趋势,而当CO₂施肥起主导作用时则呈上升趋势。收获时叶片和茎干物质的趋势不仅受光合作用变化的影响,还受分配到穗部的干物质的影响。收获时水稻穗干物质的趋势与温度和CO₂对光合生产的影响密切相关,极端温度也通过减少受精小穗数显著影响这些趋势。水稻产量趋势与穗干物质趋势非常相似,因为穗干物质主要由粒重(产量)组成。本研究有助于更好地理解粳稻生长过程,特别是在极端气候情景下,而未来极端气候情景可能会更加频繁。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58fa/7956007/dda74a2e41ce/peerj-09-11027-g001.jpg

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