4.7 Article

Developing Functional Relationships between Soil Waterlogging and Corn Shoot and Root Growth and Development

期刊

PLANTS-BASEL
卷 10, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/plants10102095

关键词

corn; flooding; functional relationships; maize; modeling; root growth; shoot growth; waterlogging

资金

  1. Mississippi Corn Promotion Board
  2. USDA NIFA [2016-34263-25763, MIS 043040]
  3. MAFES-SRI, Mississippi State, MS

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The increasing duration of waterlogging has significant impacts on corn plants, leading to decreases in whole-plant dry weight, leaf area, and root volume, while leaf number and plant height are less affected. Root forks are the most sensitive parameter after prolonged waterlogging, declining by a substantial percentage in both experiments.
Short- and long-term waterlogging conditions impact crop growth and development, preventing crops from reaching their true genetic potential. Two experiments were conducted using a pot-culture facility to better understand soil waterlogging impacts on corn growth and development. Two corn hybrids were grown in 2017 and 2018 under ambient sunlight and temperature conditions. Waterlogging durations of 0, 2, 4, 6, 8, 10, 12, and 14 days were imposed at the V2 growth stage. Morphological (growth and development) and pigment estimation data were collected 15 days after treatments were imposed, 23 days after sowing. As waterlogging was imposed, soil oxygen rapidly decreased until reaching zero in about 8-10 days; upon the termination of the treatments, the oxygen levels recovered to the level of the 0 days treatment within 2 days. Whole-plant dry weight declined as the waterlogging duration increased, and after 2 days of waterlogging, a 44% and 27% decline was observed in experiments 1 and 2, respectively. Leaf area and root volume showed an exponential decay similar to the leaf and root dry weight. Leaf number and plant height were the least sensitive measured parameters and decreased linearly in both experiments. Root forks were the most sensitive parameter after 14 days of waterlogging in both experiments, declining by 83% and 80% in experiments 1 and 2, respectively. The data from this study improve our understanding of how corn plants react to increasing durations of waterlogging. In addition, the functional relationships generated from this study could enhance current corn simulation models for field applications.

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