Using 3D X-ray Microscopy to Study Crown Root Development and Primary Root Tip Growth in Diverse Maize (<i>Zea mays</i> L.) Lines

Duncan, Keith E; Bray, Adam L.; Dowd, Tyler; Topp, Christopher N.

doi:10.1017/s1431927619005890

Cited by 4 publications

(2 citation statements)

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“…By scaling this technique to mapping populations, studies have identified new univariate or multivariate root QTLs, demonstrating the value of highthroughput and high-information-content trait capture for dissection of plant architecture [39,40]. Other 3D-based solutions include the use of X-ray computed tomography (XRT), which is capable of imaging any plant structure, including roots within soil based upon physical density properties [41][42][43][44][45][46][47][48]. While XRT has been applied to plant physiology in some form for nearly two decades, instrument accessibility and technical limitations typically restrict its use to small plant structures, low throughput, and/or limited fields of view.…”

Section: Introductionmentioning

confidence: 99%

Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging

Shao

et al. 2021

Plant Phenomics

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The root system is critical for the survival of nearly all land plants and a key target for improving abiotic stress tolerance, nutrient accumulation, and yield in crop species. Although many methods of root phenotyping exist, within field studies, one of the most popular methods is the extraction and measurement of the upper portion of the root system, known as the root crown, followed by trait quantification based on manual measurements or 2D imaging. However, 2D techniques are inherently limited by the information available from single points of view. Here, we used X-ray computed tomography to generate highly accurate 3D models of maize root crowns and created computational pipelines capable of measuring 71 features from each sample. This approach improves estimates of the genetic contribution to root system architecture and is refined enough to detect various changes in global root system architecture over developmental time as well as more subtle changes in root distributions as a result of environmental differences. We demonstrate that root pulling force, a high-throughput method of root extraction that provides an estimate of root mass, is associated with multiple 3D traits from our pipeline. Our combined methodology can therefore be used to calibrate and interpret root pulling force measurements across a range of experimental contexts or scaled up as a stand-alone approach in large genetic studies of root system architecture.

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Section: Introductionmentioning

confidence: 99%

Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging

Shao

et al. 2021

Plant Phenomics

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show abstract

“…By scaling this technique to mapping populations, studies have identified new univariate or multivariate root QTLs, demonstrating the value of high-throughput and high-information-content trait capture for dissection of plant architecture (Topp et al, 2013; Zurek et al, 2015). Other 3D-based solutions include the use of X-ray computed tomography (XRT), which is capable of imaging any plant structure, including roots within soil based upon physical density properties (Mairhofer et al, 2012; Mooney et al, 2012; Bao et al, 2014; Rogers et al, 2016; Duncan et al, 2019; Li et al, 2019; Li et al, 2020; Helliwell et al). While XRT has been applied to plant physiology in some form for nearly two decades, instrument accessibility and technical limitations typically restrict its use to small plant structures, low throughput, and/or limited fields of view.…”

Section: Introductionmentioning

confidence: 99%

Complementary Phenotyping of Maize Root Architecture by Root Pulling Force and X-Ray Computed Tomography

Shao

et al. 2021

Preprint

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The root system is critical for the survival of nearly all land plants and a key target for improving abiotic stress tolerance, nutrient accumulation, and yield in crop species. Although many methods of root phenotyping exist, within field studies one of the most popular methods is the extraction and measurement of the upper portion of the root system, known as the root crown, followed by trait quantification based on manual measurements or 2D imaging. However, 2D techniques are inherently limited by the information available from single points of view. Here, we used X-ray computed tomography to generate highly accurate 3D models of maize root crowns and created computational pipelines capable of measuring 71 features from each sample. This approach improves estimates of the genetic contribution to root system architecture, and is refined enough to detect various changes in global root system architecture over developmental time as well as more subtle changes in root distributions as a result of environmental differences. We demonstrate that root pulling force, a high-throughput method of root extraction that provides an estimate of root biomass, is associated with multiple 3D traits from our pipeline. Our combined methodology can therefore be used to calibrate and interpret root pulling force measurements across a range of experimental contexts, or scaled up as a stand-alone approach in large genetic studies of root system architecture.

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One-step microwave curing-dehydration of Gastrodia elata Blume: Relationship between phytochemicals, water states and morphometric characteristics

Subramaniam

Wen

Jing

2020

Industrial Crops and Products

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Using 3D X-ray Microscopy to Study Crown Root Development and Primary Root Tip Growth in Diverse Maize (Zea mays L.) Lines

Cited by 4 publications

References 5 publications

Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging

Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging

Complementary Phenotyping of Maize Root Architecture by Root Pulling Force and X-Ray Computed Tomography

One-step microwave curing-dehydration of Gastrodia elata Blume: Relationship between phytochemicals, water states and morphometric characteristics

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