• Media type: E-Article
  • Title: What regulates the rhizodeposition of winter oilseed rape during growth?
  • Contributor: Remus, Rainer; Pandey, Divya; Lüttschwager, Dietmar
  • Published: Springer Science and Business Media LLC, 2022
  • Published in: Plant and Soil, 478 (2022) 1-2, Seite 283-310
  • Language: English
  • DOI: 10.1007/s11104-022-05441-1
  • ISSN: 0032-079X; 1573-5036
  • Origination:
  • Footnote:
  • Description: Abstract Purpose The goal of this work was to contribute to a better understanding of the process of rhizodeposition in crops and to find helpful approaches for creating a simple model of rhizodeposition. For this purpose, we tested three hypotheses about the relationships and changes in the relative C partitioning coefficients and their ratios. In particular, we analyzed the relationships between root growth, belowground respiration, rhizodeposition and other traits during plant growth. Methods The ranges of variation in $$^{14}$$ 14 C partitioning coefficients and various plant traits were determined after $$^{14}$$ 14 C labeling of four winter oilseed rape genotypes in three developmental stages. Result For all genotypes, we found very strong and significant correlations between the percentages of freshly assimilated C used for rhizodeposition and root growth. In addition, we showed that the ratios of the relative $$^{14}$$ 14 C fluxes in the root-soil-soil gas system changed significantly during plant development and that the relative and absolute C fluxes of rhizodeposition followed different trends. The root growth rate and the change in the ratio of the percentages of $$^{14}$$ 14 C in rhizodeposition and root tissue over time were the key factors that determined the absolute amount of rhizodeposited C. We also found that the C partitioning in a taproot system leading to root growth and rhizodeposition was similar to that of an adventitious root system. Conclusion Based on our results, we conclude that using the identified key factors in combination with a root growth model, a simple model can be generated to describe rhizodeposition.