Skip to main navigation Skip to search Skip to main content

Within-field variation in root-to-shoot ratios and root traits in spring barley: Implications for estimating carbon inputs

Publication: Contribution to journalJournal articlepeer-review

Abstract

Roots are a major pathway for carbon (C) input into agricultural soils, yet field-scale measurements of belowground C inputs and associated root traits remain limited. Consequently, many soil carbon models rely on fixed root-to-shoot ratios, and root trait variability is rarely considered. In this study, we quantified within-field variation in root-to-shoot ratios and root traits (root diameter, root length density and root tissue density) in spring barley (Hordeum vulgare L.) grown in southwestern Sweden in soil classified as Stagnic Eutric Cambisol, Eutric Stagnosol or Haplic Phaeozem according to the World Reference Base system. Roots (0-40 cm) and shoots were sampled during early to mid-reproductive stage, i.e. milking/early dough development stage, in a 50 x 50 cm grid at 11 sampling locations in the same field in two consecutive years. Shoot and root biomass were not correlated, resulting in variable root-to-shoot ratios (quartile coefficients of variation 7-18 %) and no consistent spatial pattern between years. Root traits displayed clear between year and depth variation, with coarser roots in the topsoil and root tissue densities and root length densities shifting across the profile, reflecting the highly plastic nature of root systems. The spatial variation in root properties in the field could not be explained by basic soil properties. Our findings call for a more mechanistic understanding of the drivers for rootto-shoot ratios and the plastic response of root traits to improve field-scale estimates of root-derived C inputs and SOC modelling accuracy.
Original languageEnglish
Article number107103
Number of pages9
JournalSoil and Tillage Research
Volume260
DOIs
Publication statusPublished - 2026

Keywords

  • Allometric functions
  • Root-to-shoot ratio
  • Soil carbon inputs
  • Soil carbon modelling
  • Soil organic carbon monitoring
  • Temporal variability
  • Within-field variability

Cite this