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首页> 中文期刊> 《作物学报（英文版）》 >Modeling the effects of extreme high-temperature stress at anthesis and grain filling on grain protein in winter wheat

Modeling the effects of extreme high-temperature stress at anthesis and grain filling on grain protein in winter wheat

         
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摘要

Extreme high-temperature stress(HTS) associated with climate change poses potential threats to wheat grain yield and quality. Wheat grain protein concentration(GPC) is a determinant of wheat quality for human nutrition and is often neglected in attempts to assess climate change impacts on wheat production. Crop models are useful tools for quantification of temperature impacts on grain yield and quality.Current crop models either cannot simulate or can simulate only partially the effects of HTS on crop N dynamics and grain N accumulation. There is a paucity of observational data on crop N and grain quality collected under systematic HTS scenarios to develop algorithms for model improvement as well as evaluate crop models. Two-year phytotron experiments were conducted with two wheat cultivars under HTS at anthesis, grain filling, and both stages. HTS significantly reduced total aboveground N and increased the rate of grain N accumulation, while total aboveground N and the rate of grain N accumulation were more sensitive to HTS at anthesis than at grain filling. The observed relationships between total aboveground N, rate of grain N accumulation, and HTS were quantified and incorporated into the WheatGrow model. The new HTS routines improved simulation of the dynamics of total aboveground N, grain N accumulation, and GPC by the model. The improved model provided better estimates of total aboveground N, grain N accumulation, and GPC under HTS(the normalized root mean square error was reduced by 40%, 85%, and 80%, respectively) than the original WheatGrow model. The improvements in the model enhance its applicability to the assessment of climate change effects on wheat grain quality by reducing the uncertainties of simulating N dynamics and grain quality under HTS.

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  • 来源
    《作物学报（英文版）》 |2021年第4期|889-900|共12页
  • 作者

    Raheel Osman; Yan Zhu; Weixing Cao; Zhifeng Ding; Meng Wang; Leilei Liu; Liang Tang; Bing Liu;

  • 作者单位

    National Engineering and Technology Center for Information Agriculture/Engineering Research Center of Smart Agriculture Ministry of Education/Key Laboratory for Crop System Analysis and Decision Making Ministry of Agriculture and Rural Affairs/Jiangsu Key Laboratory for Information Agriculture/Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University Nanjing 210095 Jiangsu China;

    National Engineering and Technology Center for Information Agriculture/Engineering Research Center of Smart Agriculture Ministry of Education/Key Laboratory for Crop System Analysis and Decision Making Ministry of Agriculture and Rural Affairs/Jiangsu Key Laboratory for Information Agriculture/Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University Nanjing 210095 Jiangsu China;

    National Engineering and Technology Center for Information Agriculture/Engineering Research Center of Smart Agriculture Ministry of Education/Key Laboratory for Crop System Analysis and Decision Making Ministry of Agriculture and Rural Affairs/Jiangsu Key Laboratory for Information Agriculture/Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University Nanjing 210095 Jiangsu China;

    National Engineering and Technology Center for Information Agriculture/Engineering Research Center of Smart Agriculture Ministry of Education/Key Laboratory for Crop System Analysis and Decision Making Ministry of Agriculture and Rural Affairs/Jiangsu Key Laboratory for Information Agriculture/Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University Nanjing 210095 Jiangsu China;

    National Engineering and Technology Center for Information Agriculture/Engineering Research Center of Smart Agriculture Ministry of Education/Key Laboratory for Crop System Analysis and Decision Making Ministry of Agriculture and Rural Affairs/Jiangsu Key Laboratory for Information Agriculture/Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University Nanjing 210095 Jiangsu China;

    National Engineering and Technology Center for Information Agriculture/Engineering Research Center of Smart Agriculture Ministry of Education/Key Laboratory for Crop System Analysis and Decision Making Ministry of Agriculture and Rural Affairs/Jiangsu Key Laboratory for Information Agriculture/Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University Nanjing 210095 Jiangsu China;

    National Engineering and Technology Center for Information Agriculture/Engineering Research Center of Smart Agriculture Ministry of Education/Key Laboratory for Crop System Analysis and Decision Making Ministry of Agriculture and Rural Affairs/Jiangsu Key Laboratory for Information Agriculture/Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University Nanjing 210095 Jiangsu China;

    National Engineering and Technology Center for Information Agriculture/Engineering Research Center of Smart Agriculture Ministry of Education/Key Laboratory for Crop System Analysis and Decision Making Ministry of Agriculture and Rural Affairs/Jiangsu Key Laboratory for Information Agriculture/Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University Nanjing 210095 Jiangsu China;

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