Crop traits enabling yield gains under more frequent extreme climatic events

• DOI: 10.1016/j.scitotenv.2021.152170
• Publication Date: 2021-12-05T21:14:32Z
• Authors: Haoliang Yan; Matthew Tom Harrison; Ke Liu; Bin Wang; Puyu Feng; Shah Fahad; Holger Meinke; Rui Yang; De Li Liu; Sotirios Archonto...; Isaiah Huber; Xiaohai Tian; Jianguo Man; Yunbo Zhang; Meixue Zhou
• Keywords: Waterlogging (archaeology)

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