Root biology never sleeps

Carley, Clayton N.; Chen, Guanying; Das, Krishna K; Delory, Benjamin; Dimitrova, Anastazija; Ding, Yiyang; George, Abin P.; Greeley, Laura A.; Han, Qingqing; Hendriks, Pieter‐Willem; Hernandez‐Soriano, Maria C.; Li, Meng; Ng, Jason Liang Pin; Mau, Lisa; Mesa‐Marín, Jennifer; Miller, Allison J.; Rae, Angus E; Schmidt, Jennifer E.; Thies, August; Topp, Christopher N.; Wacker, Tomke Susanne; Wang, Pinhui; Wang, Xinyu; Xie, Limeng; Zheng, Congcong

doi:10.1111/nph.18338

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…RSA Fingerprints would further enable a whole plant analysis and efficient query system, and technology such as Xray-CT already enables dense 3D point clouds to be built of RSA ( Gerth et al., 2021 ; Teramoto et al, 2021 ). Whole plant fingerprints could help meet the need for efficient RSA and canopy modeling, clustering, and assessment ( Falk et al., 2020a ; Carley et al., 2022a ) while further exploring the root and shoot relationships to critical traits such as nodulation ( Carley et al, 2022b ). Irrespective of shoot or root fingerprints, there is tremendous potential for using this information to ID specific accessions and characterize germplasm collection ( Azevedo Peixoto et al., 2017 ), cluster them based on their canopy features, develop relationships between agronomic, disease, or stress-induced traits, and modularize canopy features for their integration in trait development.…”

Section: Resultsmentioning

confidence: 99%

“Canopy fingerprints” for characterizing three-dimensional point cloud data of soybean canopies

et al. 2023

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Advances in imaging hardware allow high throughput capture of the detailed three-dimensional (3D) structure of plant canopies. The point cloud data is typically post-processed to extract coarse-scale geometric features (like volume, surface area, height, etc.) for downstream analysis. We extend feature extraction from 3D point cloud data to various additional features, which we denote as ‘canopy fingerprints’. This is motivated by the successful application of the fingerprint concept for molecular fingerprints in chemistry applications and acoustic fingerprints in sound engineering applications. We developed an end-to-end pipeline to generate canopy fingerprints of a three-dimensional point cloud of soybean [Glycine max (L.) Merr.] canopies grown in hill plots captured by a terrestrial laser scanner (TLS). The pipeline includes noise removal, registration, and plot extraction, followed by the canopy fingerprint generation. The canopy fingerprints are generated by splitting the data into multiple sub-canopy scale components and extracting sub-canopy scale geometric features. The generated canopy fingerprints are interpretable and can assist in identifying patterns in a database of canopies, querying similar canopies, or identifying canopies with a certain shape. The framework can be extended to other modalities (for instance, hyperspectral point clouds) and tuned to find the most informative fingerprint representation for downstream tasks. These canopy fingerprints can aid in the utilization of canopy traits at previously unutilized scales, and therefore have applications in plant breeding and resilient crop production.

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Section: Resultsmentioning

confidence: 99%

“Canopy fingerprints” for characterizing three-dimensional point cloud data of soybean canopies

et al. 2023

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“…As a fundamental aspect of plant adaptability and yield, the role of root plasticity in drought tolerance has received increasing attention in recent years ( Lynch, 1995 ; Comas et al., 2013 ; Kashiwagi et al., 2015 ; Gao and Lynch, 2016 ; Koevoets et al., 2016 ). At the same time, root systems are key to plant growth, water uptake, water perception, and signaling ( Lynch, 2007 ; Hamanishi and Campbell, 2011 ; Carley et al., 2022 ). Considerable progress has been made in unraveling the mechanisms of drought responses in plant roots which involve an array of molecular, anatomical, physiological, morphological, and biotic regulations aiming at both tolerance and avoidance of drought stress.…”

Section: Introductionmentioning

confidence: 99%

Plant root plasticity during drought and recovery: What do we know and where to go?

Zheng

Bochmann²,

Liu³

et al. 2023

Front. Plant Sci.

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AimsDrought stress is one of the most limiting factors for agriculture and ecosystem productivity. Climate change exacerbates this threat by inducing increasingly intense and frequent drought events. Root plasticity during both drought and post-drought recovery is regarded as fundamental to understanding plant climate resilience and maximizing production. We mapped the different research areas and trends that focus on the role of roots in plant response to drought and rewatering and asked if important topics were overlooked.MethodsWe performed a comprehensive bibliometric analysis based on journal articles indexed in the Web of Science platform from 1900-2022. We evaluated a) research areas and temporal evolution of keyword frequencies, b) temporal evolution and scientific mapping of the outputs over time, c) trends in the research topics analysis, d) marked journals and citation analysis, and e) competitive countries and dominant institutions to understand the temporal trends of root plasticity during both drought and recovery in the past 120 years.ResultsPlant physiological factors, especially in the aboveground part (such as “photosynthesis”, “gas-exchange”, “abscisic-acid”) in model plants Arabidopsis, crops such as wheat and maize, and trees were found to be the most popular study areas; they were also combined with other abiotic factors such as salinity, nitrogen, and climate change, while dynamic root growth and root system architecture responses received less attention. Co-occurrence network analysis showed that three clusters were classified for the keywords including 1) photosynthesis response; 2) physiological traits tolerance (e.g. abscisic acid); 3) root hydraulic transport. Thematically, themes evolved from classical agricultural and ecological research via molecular physiology to root plasticity during drought and recovery. The most productive (number of publications) and cited countries and institutions were situated on drylands in the USA, China, and Australia. In the past decades, scientists approached the topic mostly from a soil-plant hydraulic perspective and strongly focused on aboveground physiological regulation, whereas the actual belowground processes seemed to have been the elephant in the room. There is a strong need for better investigation into root and rhizosphere traits during drought and recovery using novel root phenotyping methods and mathematical modeling.

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Role of Targeted Breeding to Improve Wheat Production on the Marginal Lands of Africa

Roopnarain,

Kidson,

Mndzebele

et al. 2024

The Marginal Soils of Africa

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Root biology never sleeps

Cited by 3 publications

References 32 publications

“Canopy fingerprints” for characterizing three-dimensional point cloud data of soybean canopies

“Canopy fingerprints” for characterizing three-dimensional point cloud data of soybean canopies

Plant root plasticity during drought and recovery: What do we know and where to go?

Role of Targeted Breeding to Improve Wheat Production on the Marginal Lands of Africa

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