Argelia Lorence Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
ARA Fellow
faculty
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Argelia Lorence's research focuses on plant science, with a particular emphasis on plant physiology, genetics, and high-throughput phenotyping. Her work investigates mechanisms of plant stress tolerance, including responses to elevated temperatures and light stress. Lorence has explored alternative pathways for ascorbate biosynthesis in plants and the role of specific enzymes, such as Arabidopsis Gluconolactonase, in protecting plants from light stress. Her research also extends to crop improvement, investigating genetic variations that influence traits like rice grain weight under changing environmental conditions.
Lorence has been involved in developing and applying advanced techniques for plant phenotyping, including the use of image analysis software like PlantCV. Her collaborations include researchers from Arkansas State University and the University of Arkansas at Fayetteville. Her scholarship metrics include an h-index of 25, with over 76 publications and 2,731 citations. She is recognized as an ARA Fellow and a highly cited researcher in her field.
Metrics
- h-index: 25
- Publications: 76
- Citations: 2,731
Selected Publications
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PlantCV v4: Image analysis software for high-throughput plant phenotyping (2025)
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A technique for measuring non-structural carbohydrate reserves in flag leaves of paddy rice using Fourier transform infrared spectroscopy (FTIR) (2025)
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Natural variation in LONELY GUY-Like 1 regulates rice grain weight under warmer night conditions (2024)
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Alternative pathways leading to ascorbate biosynthesis in plants: lessons from the last 25 years (2024)
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Arabidopsis Gluconolactonase, the First Enzyme Involved in Ascorbate Biosynthesis Localized in the Chloroplast Protects Plants from Light Stress (2024)
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Field‐based infrastructure and cyber–physical system for the study of high night air temperature stress in irrigated rice (2023)
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Field Infrastructure for Phenomics of High Night Air Temperature Stress Tolerance of Rice (2022)
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High-Throughput Plant Phenotyping (2022)
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A Novel High-Throughput Phenotyping Hydroponic System for Nitrogen Deficiency Studies in Arabidopsis thaliana (2022)
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An Automated High-Throughput Phenotyping System for Marchantia polymorpha (2022)
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Significant Shift of Ambient Night-Time Air Temperature during Rice Growing Season in Major US Rice States (2021)
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<i>Myo</i> -inositol Oxygenase Overexpression Rescues Vitamin C Deficient Arabidopsis ( <i>vtc</i> ) Mutants (2021)
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Application of DNA Barcoding for Quality Control of Herbal Drugs and Their Phytopharmaceuticals (2021)
ARA Academy 2015 ARA Fellow
Dr. Lorence directs the Plant High-Throughput Phenotyping Facility at A-State and co-directs the Plant Imaging Consortium, a multi-state effort using phenomics and imaging techniques to help crops adapt to a changing climate. Her research contributed to the discovery of a new biosynthetic pathway for vitamin C in plants, with work that has the potential to positively impact U.S. agriculture.
Policy Impact
Co-directs a multi-state Plant Imaging Consortium and operates Arkansas's high-throughput phenotyping facility, advancing precision agriculture tools for U.S. crop production.
Growth Areas
['Precision Agriculture', 'Food Production & Integrative Health']
Collaboration Network
Top Collaborators
- Application of DNA Barcoding for Quality Control of Herbal Drugs and Their Phytopharmaceuticals
- Field‐based infrastructure and cyber–physical system for the study of high night air temperature stress in irrigated rice
- An Automated High-Throughput Phenotyping System for Marchantia polymorpha
- Arabidopsis Gluconolactonase, the First Enzyme Involved in Ascorbate Biosynthesis Localized in the Chloroplast Protects Plants from Light Stress
- Natural variation in LONELY GUY-Like 1 regulates rice grain weight under warmer night conditions
- Field‐based infrastructure and cyber–physical system for the study of high night air temperature stress in irrigated rice
- PlantCV v4: Image analysis software for high-throughput plant phenotyping
- PlantCV v4: Image analysis software for high‐throughput plant phenotyping
- <i>Myo</i> -inositol Oxygenase Overexpression Rescues Vitamin C Deficient Arabidopsis ( <i>vtc</i> ) Mutants
- PlantCV v4: Image analysis software for high-throughput plant phenotyping
- A Novel High-Throughput Phenotyping Hydroponic System for Nitrogen Deficiency Studies in Arabidopsis thaliana
- Alternative pathways leading to ascorbate biosynthesis in plants: lessons from the last 25 years
- Natural variation in LONELY GUY-Like 1 regulates rice grain weight under warmer night conditions
- Field‐based infrastructure and cyber–physical system for the study of high night air temperature stress in irrigated rice
- Application of DNA Barcoding for Quality Control of Herbal Drugs and Their Phytopharmaceuticals
- Alternative pathways leading to ascorbate biosynthesis in plants: lessons from the last 25 years
- <i>Myo</i> -inositol Oxygenase Overexpression Rescues Vitamin C Deficient Arabidopsis ( <i>vtc</i> ) Mutants
- Arabidopsis Gluconolactonase, the First Enzyme Involved in Ascorbate Biosynthesis Localized in the Chloroplast Protects Plants from Light Stress
- Field‐based infrastructure and cyber–physical system for the study of high night air temperature stress in irrigated rice
- A Novel High-Throughput Phenotyping Hydroponic System for Nitrogen Deficiency Studies in Arabidopsis thaliana
- Natural variation in LONELY GUY-Like 1 regulates rice grain weight under warmer night conditions
- Field‐based infrastructure and cyber–physical system for the study of high night air temperature stress in irrigated rice
- Natural variation in LONELY GUY-Like 1 regulates rice grain weight under warmer night conditions
- Field‐based infrastructure and cyber–physical system for the study of high night air temperature stress in irrigated rice
- PlantCV v4: Image analysis software for high-throughput plant phenotyping
- PlantCV v4: Image analysis software for high‐throughput plant phenotyping
- PlantCV v4: Image analysis software for high-throughput plant phenotyping
- PlantCV v4: Image analysis software for high‐throughput plant phenotyping
- PlantCV v4: Image analysis software for high-throughput plant phenotyping
- PlantCV v4: Image analysis software for high‐throughput plant phenotyping
- PlantCV v4: Image analysis software for high-throughput plant phenotyping
- PlantCV v4: Image analysis software for high‐throughput plant phenotyping
- PlantCV v4: Image analysis software for high-throughput plant phenotyping
- PlantCV v4: Image analysis software for high‐throughput plant phenotyping
- PlantCV v4: Image analysis software for high-throughput plant phenotyping
- PlantCV v4: Image analysis software for high‐throughput plant phenotyping
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