Cited by 213Bioenergy crop production and managementSoil and Unsaturated FlowSoil Carbon and Nitrogen Dynamics

Root distribution and soil moisture retrieval in perennial and annual energy crops in Northern Italy

Monti, Andrea, Zatta, Alessandro·2009·Agriculture, Ecosystems & Environment

Abstract

This study focused on root size and distribution of energy crops which may be a reliable indicator of the capability of these crops to accumulate significant C stocks in the soil. Alike, understanding root size and distribution may provide new insights into the knowledge of mechanisms involved in soil water uptake. The present research was performed in North Italy, Po Valley (32ma.s.l., 44°33'N, 11°21'E). The assessment of root distribution and biomass of Panicum virgatum (switchgrass=S), Miscanthus x giganteus (miscanthus=M), Arundo donax (giant reed=G) and Sorghum bicolor (fibre sorghum=FS), in a soil profile of 1.2m depth, aimed at providing new insights into carbon storage and water capture capacity. Despite a similar above ground biomass production, perennial crops exhibited different total root biomass, root shape and water uptake. G accumulated considerably higher total root biomass (13.6Mgha⁻¹, d.w. basis), while FS, being annual, produced clearly the lowest root biomass (2.1Mgha⁻¹). Root biomass distribution was described using the β model, through the relationships between root length density (RLD) and soil depth. In summary, M had a very superficial root shape (β =0.931) with almost 90% of total root biomass concentrated in the top 0.35m soil, while G and S exhibited a relative even root distribution (β =0.979 and 0.984, respectively). RLD and root weight showed diverse patterns among crops and along the soil profile due to different root diameters and root bulk densities of the crops. Root water capture capacity ([Greek Phi symbol]) was determined according to the King model through the relationship between soil moisture and RLD in vertically succeeding soil layers. Differences in [Greek Phi symbol] among crops were expressed through the constant k, which resumes many physiological and environmental details driving water uptake. Briefly, high k means a faster water uptake for a given RLD. M showed the highest k (2.50) followed by FS (1.02), G (0.54) and S (0.31). Importantly, k and β were closely and negatively related which would mean that top-rooted crops, though being more subjected to drought risks, have significant higher abilities in recovering soil water. This is an assertion which is consistent with the previous studies that showed M being highly productive under wet environment, but very sensitive to water shortage. This study shows that energy crops can greatly differ in terms of water capture and root distribution, a fact that should be taken into great account in optimizing the land use change.

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Crossref · 10.1016/j.agee.2009.04.007

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  • The contrasting results for giant reed could be a consequence of the lack of N fertilization in this study and the higher belowground biomass production reported by other authors.

    “These contrasting results could be a consequence of the lack of nitrogen (N) fertilization in this study and the higher belowground biomass production reported by other authors (Monti & Zatta, 2009).”
  • PECs can allocate high amounts of atmospheric C in belowground biomass (BGB) thanks to deep and dense fine rooting systems.

    “PECs can allocate high amounts of atmospheric C in the belowground biomass (BGB; Chimento & Amaducci, 2015; Monti et al., 2012; Monti & Zatta, 2009) thanks to the deep and dense fine rooting systems (Chimento & Amaducci, 2015).”
  • Both herbaceous crops/grasses and short-rotation woody crops can potentially deliver up to 40-50% of the carbon they capture from the atmosphere to the soil as litter and belowground biomass, with inputs varying from less than 1 to more than 4 Mg C ha−1 year−1.

    “Both HCG and SRWC can potentially deliver up to 40–50 % of the C they capture from the atmosphere to the soil as litter and BGB, which can vary from <1 to >4 Mg C ha−1 year−1 [59–61].”
  • Belowground biomass is concentrated in the upper part of the profile; despite large amounts of roots under M. giganteus observed down to 1 to 1.8 m, more than 50% were in the top 30 cm.

    “BGB is concentrated in the upper part of the profile [61]; in spite of large amounts of roots under M. giganteus observed down to 1 to 1.8 m [57, 61, 66, 80, 84], more than 50 % were in the top 30 cm.”
  • Data for carbon inputs from belowground biomass are difficult to interpret, especially for roots, because they are based on many single observations rather than time series.

    “Data for C inputs from BGB are difficult to interpret, especially for roots because they are based on many single observations [45, 61, 62, 64, 80] rather than time series [26, 32, 81–83].”

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Authors
Monti, A., & Zatta, A.
Affiliations
University of Bologna (IT)
Corresponding author
Monti, Andrea
Venue
Agriculture, Ecosystems & Environment
Publisher
Elsevier BV
Published
2009-08
Volume
132
Issue
3-4
Pages
252-259
ISSN
0167-8809 (ISSN-L)
OpenAlex
W2044963229
Cited by
213
References
72
Citations by year
2026: 8 · 2025: 8 · 2024: 10 · 2023: 11 · 2022: 15 · 2021: 12 · 2020: 16 · 2019: 16 · 2018: 14 · 2017: 20 · 2016: 16 · 2015: 11 · 2014: 19 · 2013: 16 · 2012: 8
FWCI
14.84
Type
journal article
Language
en
Open access
closed
Locations
  • Agriculture Ecosystems & Environment (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
Funders
Regione Emilia-Romagna
Topics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
  • Physical Sciences › Engineering › Civil and Structural Engineering › Soil and Unsaturated Flow
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
Keywords
root distribution, root biomass, soil moisture retrieval, energy crops, perennial crops, annual crops, switchgrass, Miscanthus × giganteus, Arundo donax, root length density, King model, soil carbon storage, Po Valley, drought risk, root depth distribution, beta model, root diameter, soil water uptake

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