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  • 1
    Online Resource
    Online Resource
    Society for Industrial & Applied Mathematics (SIAM) ; 2018
    In:  SIAM Journal on Scientific Computing Vol. 40, No. 6 ( 2018-01), p. A4158-A4183
    In: SIAM Journal on Scientific Computing, Society for Industrial & Applied Mathematics (SIAM), Vol. 40, No. 6 ( 2018-01), p. A4158-A4183
    Type of Medium: Online Resource
    ISSN: 1064-8275 , 1095-7197
    Language: English
    Publisher: Society for Industrial & Applied Mathematics (SIAM)
    Publication Date: 2018
    detail.hit.zdb_id: 759833-6
    detail.hit.zdb_id: 1468391-X
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2018
    In:  Vadose Zone Journal Vol. 17, No. 1 ( 2018-01), p. 1-11
    In: Vadose Zone Journal, Wiley, Vol. 17, No. 1 ( 2018-01), p. 1-11
    Abstract: We propose a model of mechanistic pore‐scale interactions of mucilage, water, and soil. Effect of mucilage on saturated hydraulic conductivity is stronger in coarse soils. Coarse soils require higher mucilage concentration to increase water content. Upscaling to macroscopic soil hydraulic properties remains challenging. The model was validated on measured water retention and saturated hydraulic conductivity Mucilage secreted by roots alters hydraulic properties of soil close to the roots. Although existing models are able to mimic the effect of mucilage on soil hydraulic properties for specific soils, it has not yet been explored how the effects of mucilage on macroscopic soil hydraulic properties depend on soil particle size. We propose a conceptual model of how mechanistic pore‐scale interactions of mucilage, water, and soil depend on pore size and mucilage concentration and how these pore‐scale characteristics result in changes of macroscopic soil hydraulic properties. Water retention and saturated hydraulic conductivity of soils with different ranges of particle sizes mixed with various mucilage concentrations were measured and used to validate the conceptual model. We found that (i) at low mucilage concentrations, the saturated conductivity of a coarse sand was a few orders of magnitude higher than that of a silt, (ii) at an intermediate concentration, the hydraulic conductivity of a fine sand was lower than of a coarse sand or a silt, and (iii) at a high concentration, all soils had a hydraulic conductivity of the same magnitude. At low matric potentials, mucilage increased the water content in all soilsin all soils. In coarser soils, higher mucilage concentrations were needed to induce an increase in water content of 〉 0.05 g g –1 at low matric potentials. This study shows how pore‐scale interactions between mucilage, water, and soil particles affect bulk soil hydraulic properties in a way that depends on soil particle size. Including such effects in quantitative models of root water uptake remains challenging.
    Type of Medium: Online Resource
    ISSN: 1539-1663 , 1539-1663
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2088189-7
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  • 3
    In: Vadose Zone Journal, Wiley, Vol. 17, No. 1 ( 2018-01), p. 1-12
    Abstract: Mucilage exudation by roots modifies the hydraulic properties of the rhizosphere. Rhizoligands are surfactants that rewet the rhizosphere and reduce mucilage swelling. A reduction in mucilage swelling reduces rhizosphere hydraulic conductivity. By managing rhizosphere hydraulic properties, we can improve plants' adaptation to drought. Recent studies have drawn attention to the role of mucilage in shaping rhizosphere hydraulic properties and regulating root water uptake. During drying, mucilage keeps the rhizosphere wet and conductive, but on drying it turns hydrophobic, limiting root water uptake. In this study, we introduce the concept of rhizoligands , defined as additives that (i) rewet the rhizosphere and (ii) reduce mucilage swelling, thereby reducing the rhizosphere conductivity. We tested whether selected surfactants behaved as rhizoligands. We used neutron radiography to monitor water redistribution in the rhizosphere of lupine ( Lupinus albus L. cv. Feodora) and maize ( Zea mays L.) irrigated with water and rhizoligands. In a parallel experiment, we tested the effect of rhizoligands on the transpiration rate of lupine and maize subjected to repeated drying and wetting cycles. We also measured the effect of rhizoligands on the maximum swelling of mucilage and the saturated hydraulic conductivity of soil mixed with various mucilage concentrations. Rhizoligand treatment quickly and uniformly rewetted the rhizosphere of maize and lupine. Interestingly, rhizoligands also reduced transpiration during drying–wetting cycles. Our hypothesis is that the reduction in transpiration was triggered by the interaction between rhizoligand and mucilage exuded by roots. This hypothesis is supported by the fact that rhizoligand reduced the maximum swelling of mucilage, increased its viscosity, and decreased the hydraulic conductivity of soil–mucilage mixtures. The reduced conductivity of the rhizosphere induced a moderate stress to the plants, reducing transpiration. Rhizoligands increase the rhizosphere wetting kinetics and decrease the maximum swelling of mucilage. As a consequence, root rehydration following irrigation is faster, a larger volume of water is available to the plant, and this water is used more slowly. This slower water consumption would allow the plant to stay turgid during a prolonged drying period. We propose that by managing the hydraulic properties of the rhizosphere, we can improve plants' adaptation to drought.
    Type of Medium: Online Resource
    ISSN: 1539-1663 , 1539-1663
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2088189-7
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  • 4
    Online Resource
    Online Resource
    Frontiers Media SA ; 2018
    In:  Frontiers in Chemistry Vol. 6 ( 2018-5-7)
    In: Frontiers in Chemistry, Frontiers Media SA, Vol. 6 ( 2018-5-7)
    Type of Medium: Online Resource
    ISSN: 2296-2646
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2018
    detail.hit.zdb_id: 2711776-5
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  • 5
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2018
    In:  Metacognition and Learning Vol. 13, No. 2 ( 2018-8), p. 159-177
    In: Metacognition and Learning, Springer Science and Business Media LLC, Vol. 13, No. 2 ( 2018-8), p. 159-177
    Type of Medium: Online Resource
    ISSN: 1556-1623 , 1556-1631
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
    detail.hit.zdb_id: 2234642-9
    SSG: 5,3
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