Evidence map›Paper›PMID 32597468›Full record

ArticleAnnals of botany2020

A functional-structural model of upland rice root systems reveals the importance of laterals and growing root tips for phosphate uptake from wet and dry soils.

Pieterjan De Bauw, Trung Hieu Mai, Andrea Schnepf, Roel Merckx, Erik Smolders, Jan Vanderborght

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Article in Annals of botany, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
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13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
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  6. Towards modelling emergence in plant systems.Quantitative plant biology · 2023
    Article
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  8. Article
  9. Breeding rice for a changing climate by improving adaptations to water saving technologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Pieterjan De BauwKatholieke Universiteit Leuven, Department of of Earth and Environmental Sciences, Leuven, Belgium.
Trung Hieu MaiInstitute of Bio- and Geosciences: Agrosphere (IBG 3), Forschungszentrum Jülich GmbH, Jülich, Germany.
Andrea SchnepfInstitute of Bio- and Geosciences: Agrosphere (IBG 3), Forschungszentrum Jülich GmbH, Jülich, Germany.
Roel MerckxKatholieke Universiteit Leuven, Department of of Earth and Environmental Sciences, Leuven, Belgium.
Erik SmoldersKatholieke Universiteit Leuven, Department of of Earth and Environmental Sciences, Leuven, Belgium.
Jan VanderborghtInstitute of Bio- and Geosciences: Agrosphere (IBG 3), Forschungszentrum Jülich GmbH, Jülich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsUpland rice is often grown where water and phosphorus (P) are limited. To better understand the interaction between water and P availability, functional-structural models that mechanistically represent small-scale nutrient gradients and water dynamics in the rhizosphere are needed.

methodsRice was grown in large columns using a P-deficient soil at three P supplies in the topsoil (deficient, sub-optimal and non-limiting) in combination with two water regimes (field capacity vs. drying periods). Root system characteristics, such as nodal root number, lateral types, interbranch distance, root diameters and the distribution of biomass with depth, as well as water and P uptake, were measured. Based on the observed root data, 3-D root systems were reconstructed by calibrating the structural architecure model CRootBox for each scenario. Water flow and P transport in the soil to each of the individual root segments of the generated 3-D root architectures were simulated using a multiscale flow and transport model. Total water and P uptake were then computed by adding up the uptake by all the root segments. KEY

resultsMeasurements showed that root architecture was significantly affected by the treatments. The moist, high P scenario had 2.8 times the root mass, double the number of nodal roots and more S-type laterals than the dry, low P scenario. Likewise, measured plant P uptake increased >3-fold by increasing P and water supply. However, drying periods reduced P uptake at high but not at low P supply. Simulation results adequately predicted P uptake in all scenarios when the Michaelis-Menten constant (Km) was corrected for diffusion limitation. They showed that the key drivers for P uptake are the different types of laterals (i.e. S- and L-type) and growing root tips. The L-type laterals become more important for overall water and P uptake than the S-type laterals in the dry scenarios. This is true across all the P treatments, but the effect is more pronounced as the P availability decreases.

conclusionsThis functional-structural model can predict the function of specific rice roots in terms of P and water uptake under different P and water supplies, when the structure of the root system is known. A future challenge is to predict how the structure root systems responds to nutrient and water availability.

Indexed as

OryzaMeristemPhosphatesPlant RootsSoilPhosphatesSoil3-D root architecturebranching densityCRootBoxlateral root typesphosphorus acquisitionsoil–root modellingupland rice (Oryza spp.)water uptake

Identifiers

PMID32597468
PMCPMC7489101

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.