Literature DB >> 34875326

Crop traits enabling yield gains under more frequent extreme climatic events.

Haoliang Yan1, Matthew Tom Harrison2, Ke Liu3, Bin Wang4, Puyu Feng5, Shah Fahad6, Holger Meinke7, Rui Yang1, De Li Liu4, Sotirios Archontoulis8, Isaiah Huber8, Xiaohai Tian1, Jianguo Man9, Yunbo Zhang10, Meixue Zhou2.   

Abstract

Climate change (CC) in central China will change seasonal patterns of agricultural production through increasingly frequent extreme climatic events (ECEs). Breeding climate-resilient wheat (Triticum aestivum L.) genotypes may mitigate adverse effects of ECEs on crop productivity. To reveal crop traits conducive to long-term yield improvement in the target population of environments, we created 8,192 virtual genotypes with contrasting but realistic ranges of phenology, productivity and waterlogging tolerance. Using these virtual genotypes, we conducted a genotype (G) by environment (E) by management (M) factorial analysis (G×E×M) using locations distributed across the entire cereal cropping zone in mid-China. The G×E×M invoked locally-specific sowing dates under future climates that were premised on shared socioeconomic pathways SSP5-8.5, with a time horizon centred on 2080. Across the simulated adaptation landscape, productivity was primarily driven by yield components and phenology (average grain yield increase of 6-69% across sites with optimal combinations of these traits). When incident solar radiation was not limiting carbon assimilation, ideotypes with higher grain yields were characterised by earlier flowering, higher radiation-use efficiency and larger maximum kernel size. At sites with limited solar radiation, crops required longer growing periods to realise genetic yield potential, although higher radiation-use efficiency and larger maximum kernel size were again prospective traits enabling higher rates of yield gains. By 2080, extreme waterlogging stress in some regions of mid-China will impact substantially on productivity, with yield penalties of up to 1,010 kg ha-1. Ideotypes with optimal G×M could mitigate yield penalty caused by waterlogging by up to 15% under future climates. These results help distil promising crop trait by best management practice combinations that enable higher yields and robust adaptation to future climates and more frequent extreme climatic events, including flash flooding and soil waterlogging.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Climate change; Crop model; Model parameters; Waterlogging stress; Wheat ideotypes

Mesh:

Year:  2021        PMID: 34875326     DOI: 10.1016/j.scitotenv.2021.152170

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Effects of Selenium on Growth and Selenium Content Distribution of Virus-Free Sweet Potato Seedlings in Water Culture.

Authors:  Huoyun Chen; Qun Cheng; Qiaoling Chen; Xingzhi Ye; Yong Qu; Weiwu Song; Shah Fahad; Jianhua Gao; Shah Saud; Yi Xu; Yanfen Shen
Journal:  Front Plant Sci       Date:  2022-07-06       Impact factor: 6.627

2.  Soybean Crops Penalize Subsequent Wheat Yield During Drought in the North China Plain.

Authors:  Jiangwen Nie; Jie Zhou; Jie Zhao; Xiquan Wang; Ke Liu; Peixin Wang; Shang Wang; Lei Yang; Huadong Zang; Matthew Tom Harrison; Yadong Yang; Zhaohai Zeng
Journal:  Front Plant Sci       Date:  2022-06-28       Impact factor: 6.627

3.  Shifting Rice Cropping Systems Mitigates Ecological Footprints and Enhances Grain Yield in Central China.

Authors:  Yong Zhou; Ke Liu; Matthew Tom Harrison; Shah Fahad; Songling Gong; Bo Zhu; Zhangyong Liu
Journal:  Front Plant Sci       Date:  2022-05-04       Impact factor: 6.627

4.  How Does Crop Rotation Influence Soil Moisture, Mineral Nitrogen, and Nitrogen Use Efficiency?

Authors:  Rui Yang; Ke Liu; Matthew Tom Harrison; Shah Fahad; Zhuangzhi Wang; Meixue Zhou; Xiaoyan Wang
Journal:  Front Plant Sci       Date:  2022-03-17       Impact factor: 5.753

5.  iTRAQ Proteomic Analysis of Wheat (Triticum aestivum L.) Genotypes Differing in Waterlogging Tolerance.

Authors:  Rui Yang; Murong Li; Matthew Tom Harrison; Shah Fahad; Mingmei Wei; Xiu Li; Lijun Yin; Aihua Sha; Meixue Zhou; Ke Liu; Xiaoyan Wang
Journal:  Front Plant Sci       Date:  2022-04-25       Impact factor: 5.753

6.  Rice Paddies Reduce Subsequent Yields of Wheat Due to Physical and Chemical Soil Constraints.

Authors:  Rui Yang; Zhuangzhi Wang; Shah Fahad; Shiying Geng; Chengxiang Zhang; Matthew Tom Harrison; Muhammad Adnan; Shah Saud; Meixue Zhou; Ke Liu; Xiaoyan Wang
Journal:  Front Plant Sci       Date:  2022-07-22       Impact factor: 6.627

  6 in total

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