A5014949853- Plant nutrient uptake and metabolism
- Smart Agriculture and AI
- Bioenergy crop production and management
- Rice Cultivation and Yield Improvement
- Plant Molecular Biology Research
- Plant Disease Resistance and Genetics
- Remote Sensing and Land Use
- Wheat and Barley Genetics and Pathology
- Plant Micronutrient Interactions and Effects
- Industrial Vision Systems and Defect Detection
- Satellite Image Processing and Photogrammetry
- Crop Yield and Soil Fertility
- Plant Disease Management Techniques
- Soil Carbon and Nitrogen Dynamics
- Advanced Surface Polishing Techniques
- Image Processing and 3D Reconstruction
- Wastewater Treatment and Nitrogen Removal
- Genetic Mapping and Diversity in Plants and Animals
- Soil Moisture and Remote Sensing
- Tree Root and Stability Studies
- Forest Biomass Utilization and Management
- Agricultural Productivity and Crop Improvement
- Plant Pathogens and Resistance
- Image Processing Techniques and Applications
- Plant and Fungal Interactions Research
Oak Ridge National Laboratory
2024
Noble Research Institute
2018-2022
Noble
2018-2021
University of Missouri
2017-2018
Root crown phenotyping measures the top portion of crop root systems and can be used for marker-assisted breeding, genetic mapping, understanding how roots influence soil resource acquisition. Several imaging protocols image analysis programs exist, but they are not optimized high-throughput, repeatable, robust phenotyping. The RhizoVision Crown platform integrates an unit, capture software, software that reliable extraction measurements from large numbers crowns. hardware utilizes a...
Abstract Roots are central to the function of natural and agricultural ecosystems by driving plant acquisition soil resources influencing carbon cycle. Root characteristics like length, diameter, volume critical measure understand functions. RhizoVision Explorer is an open-source software designed enable researchers interested in roots providing easy-to-use interface, fast image processing, reliable measurements. The default broken mode intended for sampled from pots or cores, washed,...
The root economics space is a useful framework for plant ecology but rarely considered crop ecophysiology. In order to understand trait integration in winter wheat, we combined functional phenomics with economic theory, utilizing genetic variation, high-throughput phenotyping, and multivariate analyses. We phenotyped diversity panel of 276 genotypes respiration architectural traits using novel method CO
Active breeding programs specifically for root system architecture (RSA) phenotypes remain rare; however, branch and taproot types in the perennial crop alfalfa is ongoing. Phenotyping this other crops active RSA has mostly used visual scoring of specific traits or subjective classification into different types. While image-based methods have been developed, translation to applied limited. This research aimed at developing comparing phenotyping using machine deep learning algorithms...
Abstract Nutrient uptake is critical for crop growth and determined by root foraging in soil. Growth branching of roots lead to effective placement acquire nutrients, but relatively little known about absorption nutrients at the surface from soil solution. This knowledge gap could be alleviated understanding sources genetic variation short-term nutrient on a length basis. A modular platform called RhizoFlux was developed high-throughput phenotyping multiple ion-uptake rates maize (Zea mays...
The response of plant growth and development to nutrient water availability is an important adaptation for abiotic stress tolerance. Roots need intercept both passing nutrients while foraging into new soil layers further resources. Substantial amounts nitrate can be lost in the field when leaching groundwater, yet very little known about how deep rooting affects this process. Here, we phenotyped root system traits 15N capture across 1.5 m vertical profiles solid media using tall mesocosms...
Drought stress reduces crop biomass yield and the profitability of rainfed agricultural systems. Evaluation populations or accessions adapted to diverse geographical agro-climatic environments sheds light on beneficial plant responses enhance optimize in resource-limited environments. This study used morphological physiological characteristics leaves roots from two different alfalfa subspecies during progressive drought imposed controlled field conditions. Two soils (Experiments 1 2) water...
Root system architecture is critical for plant growth, which influenced by several edaphic, environmental, genetic, and biotic factors including beneficial pathogenic microbes. Studying root the dynamic changes that occur during a plant’s lifespan, especially perennial crops growing over multiple seasons, still challenge because of nature their environment. We describe utility an imaging platform called RhizoVision Crown to study alfalfa, forage crop threatened Phymatotrichopsis rot (PRR)...
ABSTRACT Root crown phenotyping measures the top portion of crop root systems and can be used for marker-assisted breeding, genetic mapping, understanding how roots influence soil resource acquisition. Several imaging protocols image analysis programs exist, but they are not optimized high-throughput, repeatable, robust phenotyping. The RhizoVision Crown platform integrates an unit, capture software, software that reliable extraction measurements from large numbers crowns. hardware utilizes...
Abstract Background Root crown phenotyping has linked root properties to shoot mass, nutrient uptake, and yield in the field, which increases understanding of soil resource acquisition presents opportunities for breeding. The original methods using manual measurements have been largely supplanted by image-based approaches. However, most systems limited one or two perspectives rely on segmentation from grayscale images. An efficient high-throughput system is introduced that takes images five...
Nutrient uptake is critical for crop growth and determined by root foraging in soil. Growth branching of roots lead to effective placement acquire nutrients, but relatively less known about absorption nutrients at the surface from soil solution. This knowledge gap could be alleviated understanding sources genetic variation short-term nutrient on a length basis. A new modular platform high-throughput phenotyping multiple ion kinetics was designed determine rates Zea mays . Using this system,...
Summary The root economics space is a useful framework for plant ecology, but rarely considered crop ecophysiology. In order to understand trait integration in winter wheat, we combined functional phenomics with economic theory utilizing genetic variation, high-throughput phenotyping, and multivariate analyses. We phenotyped diversity panel of 276 genotypes respiration architectural traits using novel method CO 2 flux the open-source software RhizoVision Explorer analyzing scanned images....
Abstract Roots are important in agricultural and natural systems for determining plant productivity soil carbon inputs. The collection of root samples from the field their subsequent cleaning scanning a water-filled tray ranging size 5 to 20 cm, followed by digital image analysis has been commonly used since 1990s measuring length, volume, area, diameter. However, one common issue neglected. Sometimes, amount roots sample is too much fit into single scanned image, so divided among several...
Roots are important in agricultural and natural systems for determining plant productivity soil carbon inputs. Sometimes, the amount of roots a sample is too much to fit into single scanned image, so divided among several scans, there no standard method aggregate data. Here, we describe validate two methods standardizing measurements across multiple scans: image concatenation statistical aggregation. We developed Python script that identifies which images belong same returns single, larger...
Root system architecture (RSA) is critical for plant growth, which influenced by several edaphic, environmental, genetic and biotic factors including beneficial pathogenic microbes. Studying root the dynamic changes that occur during a plant's lifespan, especially perennial crops growing over multiple seasons, still challenge because of nature their environment in soil. We describe utility an imaging platform called RhizoVision Crown to study RSA alfalfa, forage crop affected...
Characteristics of underwater targets displayed in synthetic aperture sonar (SAS) imagery vary depending on their environmental context. Discriminative features sea grass may differ from the that are discriminative sand ripple, for example. Environmentally-adaptive target detection and classification systems take into account context, therefore, have potential improved results. This paper presents an end-to-end environmentally-adaptive system SAS performs recognition while accounting First,...