Simultaneous effects of leaf irradiance and soil moisture on growth and root system architecture of novel wheat genotypes: implications for phenotyping

Nagel, Kerstin; Bonnett, David; Furbank, Robert T.; Walter, Achim; Schurr, Ulrich; Watt, Michelle

doi:10.1093/jxb/erv290

Cited by 23 publications

(15 citation statements)

References 52 publications

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“…Rhizotron boxes are soil filled containers with a transparent front plate that allows observing dynamic changes in root system architecture. While rhizotrons enable better control of environmental influences on root architecture development, they spatially constrict the root system and allow only partial visibility of roots at the transparent front plate (Nagel et al 2012;Nagel et al 2015;Wenzel et al 2001). A simple method that produces a large number of images with perfect visibility of the root system is represented by roots grown on germination paper (Atkinson et al 2017;Atkinson et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Measuring root system traits of wheat in 2D images to parameterize 3D root architecture models

et al. 2018

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Background and aims The main difficulty in the use of 3D root architecture models is correct parameterization. We evaluated distributions of the root traits inter-branch distance, branching angle and axial root trajectories from contrasting experimental systems to improve model parameterization. Methods We analyzed 2D root images of different wheat varieties (Triticum Aestivum) from three different sources using automatic root tracking. Model input parameters and common parameter patterns were identified from extracted root system coordinates. Simulation studies were used to (1) link observed axial root trajectories with model input parameters (2) evaluate errors due to the 2D (versus 3D) nature of image sources and (3) investigate the effect of model parameter distributions on root foraging performance. Results Distributions of inter-branch distances were approximated with lognormal functions. Branching angles showed mean values <90°. Gravitropism and tortuosity parameters were quantified in relation to downwards reorientation and segment angles of root axes. Root system projection in 2D increased the variance of branching angles. Root foraging performance was very sensitive to parameter distribution and variance. Conclusions 2D image analysis can systematically and efficiently analyze root system architectures and parameterize 3D root architecture models. Effects of root system projection (2D from 3D) and deflection (at rhizotron face) on size and distribution of particular parameters are potentially significant. Abbreviations β, root segment angle to the horizontal ∆β, reorientation angle of an individual root segment D e , diffusion coefficient of a solute in soil ibd, inter-branch distance IRC, inter-root competition μ, mean value σ, standard deviation of the random deflection angle (tortuosity) sg, sensitivity to gravitropism std, standard deviation θ, branching angle in the vertical plane

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Section: Introductionmentioning

confidence: 99%

Measuring root system traits of wheat in 2D images to parameterize 3D root architecture models

et al. 2018

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“…Root biomass in the deeper soil layers consisted of newly growing roots, elongating roots from old primary roots in the soil layers and branching roots for the roots already existed in the soil layers (Azhiri-Sigari et al, 2000). Under drought conditions, the lateral roots were induced by drying soil in upper soil layers to develop new roots that grow into moist soil in lower soil layers (Nagel et al, 2015). The distribution and architecture of the root structures might depend strongly on the moisture of the deeper soil layer.…”

Section: Discussionmentioning

confidence: 99%

Genotypic variation in root distribution changes and physiological responses of sugarcane induced by drought stress

Namwongsa

Jongrungklang

Songsri

2018

Preprint

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1Drought is an important factor reducing yield and quality of sugarcane. Root growth and 1 2 physiological traits are important for maximizing water uptake to improve drought resistance. 3This study compared the root, shoot and physiological traits under drought stress (DS) and 1 4 well-watered (WW) conditions of various sugarcane varieties grown in rhizoboxes in a 1 5 greenhouse at the Field Crops Research Station of Khon Kaen University, Khon Kaen, 1 6Thailand. Data were recorded for the root, shoot and physiological traits (relative water 1 7 content, stomatal conductance, SPAD chlorophyll meter reading and chlorophyll 1 8 fluorescence) at 90 days after transplanting. Root samples were recovered from 11 soil layers 1 9 3 0 3 1

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“…Root system depth and root distribution in progressively deeper soil strata are particularly relevant parameters to study root plasticity when water is more abundant at depth. The impact of initial soil moisture was tested during the early vegetative phase in rhizoboxes on sibling pre-breeding lines in wheat (Nagel et al, 2015), and maize hybrids from different geographic origins (Avramova et al, 2016). Studies of RSA dynamics hold great promise to dissect plant WU and growth strategies to study their contribution to yield maintenance.…”

Section: Introductionmentioning

confidence: 99%

Chickpea (Cicer arietinumL.) root system architecture adaptation to initial soil moisture improves seed development in dry-down conditions

Bontpart

Robertson

Giuffrida

et al. 2020

Preprint

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Soil water deficit (WD) impacts vascular plant phenology, morpho-physiology, and reproduction. Chickpea, which is mainly grown in semi-arid areas, is a good model plant to dissect mechanisms involved in drought resistance.We used a rhizobox-based phenotyping system to simultaneously and non-destructively characterise root system architecture (RSA) dynamics and water use (WU) patterns. We compared the drought-adaptive strategies of ‘Teketay’ to the drought-sensitive genotype ICC 1882 in high and low initial soil moisture without subsequent irrigation.WD restricted vegetative and reproductive organ biomass for both genotypes. Teketay displayed greater adaptability for RSA dynamics and WU patterns and revealed different drought adaptive strategies depending on initial soil moisture: escape when high, postponement when low. These strategies were manifested in distinct RSA dynamics: in low initial soil moisture, its reduced root growth at the end of the vegetative phase was followed by increased root growth in deeper, wetter soil strata, which facilitated timely WU for seed development and produced better-developed seeds.We demonstrate that RSA adaptation to initial soil moisture is one mechanism by which plants can tolerate WD conditions and ensure reproduction by producing well-developed seeds. Our approach will help in identifying the genetic basis for large plasticity of RSA dynamics which enhances the resilience with which crops can optimally adapt to various drought scenarios.HighlightRoot system architecture and water use patterns change dynamically for distinct drought adaptation strategies in chickpea.

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Simultaneous effects of leaf irradiance and soil moisture on growth and root system architecture of novel wheat genotypes: implications for phenotyping

Abstract: HighlightThis paper demonstrates the value of simultaneously varying shoot and root resources for future phenotyping studies by revealing phenotypic differences of wheat genotypes exposed to multiple light and moisture conditions.

Cited by 23 publications

References 52 publications

Measuring root system traits of wheat in 2D images to parameterize 3D root architecture models

Measuring root system traits of wheat in 2D images to parameterize 3D root architecture models

Genotypic variation in root distribution changes and physiological responses of sugarcane induced by drought stress

Chickpea (Cicer arietinumL.) root system architecture adaptation to initial soil moisture improves seed development in dry-down conditions

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