Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-09
Argelia Lorence
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
◆ ARA Academy
Federal Grant PI
High Impact
ARA Fellow
Also affiliated: Agricultural Research Service (2021); Arkansas Biosciences Institute (2007–2026); Virginia Tech (2003–2009); Universidad Autónoma del Estado de Morelos (2000–2001); Universidad Nacional Autónoma de México (1993–1997)
28 h-index
93 pubs
3,540 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Argelia Lorence's research program focuses on plant science, with a particular emphasis on ascorbate (Vitamin C) biosynthesis and its role in plant growth, development, and stress tolerance. Her work has investigated key genes and pathways involved in ascorbate production in plants, including the identification of myo-inositol oxygenase as a potential entry point into the pathway and the characterization of the AMR1 gene's regulatory role in the mannose/l-galactose pathway.
Lorence also has a significant research interest in high-throughput plant phenotyping, exploring cost-efficient methods and developing software tools like PlantCV v2 to facilitate this process. Her federally funded work includes a $2,214,790 NSF grant as PI for a collaborative project aimed at boosting tolerance to water stress in rice and wheat through the use of mycorrhizal inoculants.
Her scholarship metrics include an h-index of 28, with over 3,500 citations across 93 publications. Lorence is recognized as an ARA Fellow and a highly cited researcher. She actively collaborates with researchers at Arkansas State University and the University of Arkansas at Fayetteville.
Metrics
- h-index: 28
- Publications: 93
- Citations: 3,540
Positions
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ARA Fellow publications 2007–2026Arkansas State University Institutional directory
Selected Publications
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A prebiotic-based biostimulant enhances growth parameters, photosynthetic efficiency, and grain yield in rice (Oryza sativa ssp. japonica) (2026)
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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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Myo -inositol Oxygenase Overexpression Rescues Vitamin C Deficient Arabidopsis ( vtc ) Mutants (2021)
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Application of DNA Barcoding for Quality Control of Herbal Drugs and Their Phytopharmaceuticals (2021)
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Phenotypic characterization of Arabidopsis thaliana lines overexpressing AVP1 and MIOX4 in response to abiotic stresses (2020)
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']
Federal Grants 1 $2,214,790 total
Collaboration Network
Top Collaborators
Lucia Acosta‐Gamboa
Donald Danforth Plant Science Center (US)
10 shared publications
- Moderate to severe water limitation differentially affects the phenome and ionome of Arabidopsis
- Engineering plants for tomorrow: how high-throughput phenotyping is contributing to the development of better crops
- Novel Low Cost 3D Surface Model Reconstruction System for Plant Phenotyping
- Mechanisms underlying the enhanced biomass and abiotic stress tolerance phenotype of an Arabidopsis MIOX over‐expresser
- Three NPF genes in Arabidopsis are necessary for normal nitrogen cycling under low nitrogen stress
Showing 5 of 10 shared publications
Karina Medina‐Jiménez
Arkansas State University
10 shared publications
In database
- Mechanisms underlying the enhanced biomass and abiotic stress tolerance phenotype of an Arabidopsis MIOX over‐expresser
- Application of DNA Barcoding for Quality Control of Herbal Drugs and Their Phytopharmaceuticals
- DNA barcoding and TLC as tools to properly identify natural populations of the Mexican medicinal species Galphimia glauca Cav
- 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
Showing 5 of 10 shared publications
Jessica P. Yactayo‐Chang
Arkansas State University (US)
7 shared publications
- Mechanisms underlying the enhanced biomass and abiotic stress tolerance phenotype of an Arabidopsis MIOX over‐expresser
- Phenotypic characterization of Arabidopsis thaliana lines overexpressing AVP1 and MIOX4 in response to abiotic stresses
- DNA barcoding and TLC as tools to properly identify natural populations of the Mexican medicinal species Galphimia glauca Cav
- The Role of Plant High-Throughput Phenotyping in the Characterization of the Response of High Ascorbate Plants to Abiotic Stresses
- Failure to over-express expansin in multiple heterologous systems
Showing 5 of 7 shared publications
Nirman Nepal
Arkansas State University
7 shared publications
In database
- Engineering plants for tomorrow: how high-throughput phenotyping is contributing to the development of better crops
- Mechanisms underlying the enhanced biomass and abiotic stress tolerance phenotype of an Arabidopsis MIOX over‐expresser
- Phenotypic characterization of Arabidopsis thaliana lines overexpressing AVP1 and MIOX4 in response to abiotic stresses
- The Role of Plant High-Throughput Phenotyping in the Characterization of the Response of High Ascorbate Plants to Abiotic Stresses
- Myo -inositol Oxygenase Overexpression Rescues Vitamin C Deficient Arabidopsis ( vtc ) Mutants
Showing 5 of 7 shared publications
Suxing Liu
Arkansas State University (US)
6 shared publications
- PlantCV v2: Image analysis software for high-throughput plant phenotyping
- Moderate to severe water limitation differentially affects the phenome and ionome of Arabidopsis
- Novel Low Cost 3D Surface Model Reconstruction System for Plant Phenotyping
- PlantCV v2.0: Image analysis software for high-throughput plant phenotyping
- PlantCV v2.0: Image analysis software for high-throughput plant phenotyping
Showing 5 of 6 shared publications
Zachary C. Campbell
Arkansas State University
6 shared publications
In database
- Moderate to severe water limitation differentially affects the phenome and ionome of Arabidopsis
- Engineering plants for tomorrow: how high-throughput phenotyping is contributing to the development of better crops
- eIFiso4G Augments the Synthesis of Specific Plant Proteins Involved in Normal Chloroplast Function
- 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
Showing 5 of 6 shared publications
Harkamal Walia
University of Nebraska–Lincoln (US)
6 shared publications
- Allelic variation in rice Fertilization Independent Endosperm 1 contributes to grain width under high night temperature stress
- Natural variation in LONELY GUY-Like 1 regulates rice grain weight under warmer night conditions
- Significant Shift of Ambient Night-Time Air Temperature during Rice Growing Season in Major US Rice States
- Field‐based infrastructure and cyber–physical system for the study of high night air temperature stress in irrigated rice
- Field Infrastructure for Phenomics of High Night Air Temperature Stress Tolerance of Rice
Showing 5 of 6 shared publications
Maria Arlene Adviento‐Borbe
Delta Water Management Research Unit (US)
5 shared publications
- Allelic variation in rice Fertilization Independent Endosperm 1 contributes to grain width under high night temperature stress
- Natural variation in LONELY GUY-Like 1 regulates rice grain weight under warmer night conditions
- Significant Shift of Ambient Night-Time Air Temperature during Rice Growing Season in Major US Rice States
- Field‐based infrastructure and cyber–physical system for the study of high night air temperature stress in irrigated rice
- A technique for measuring non-structural carbohydrate reserves in flag leaves of paddy rice using Fourier transform infrared spectroscopy (FTIR)
Cherryl Quiñones
University of Arkansas at Fayetteville
5 shared publications
In database
- 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
- Field Infrastructure for Phenomics of High Night Air Temperature Stress Tolerance of Rice
- A technique for measuring non-structural carbohydrate reserves in flag leaves of paddy rice using Fourier transform infrared spectroscopy (FTIR)
Fiona L. Goggin
Cognitive Neuroimaging Lab
4 shared publications
In database
- Applying high-throughput phenotyping to plant–insect interactions: picturing more resistant crops
- Exploring the impact of wounding and jasmonates on ascorbate metabolism
- Vitamin C content in plants is modified by insects and influences susceptibility to herbivory
- Expression of α- DIOXYGENASE 1 in Tomato and Arabidopsis Contributes to Plant Defenses Against Aphids
Siddique I. Aboobucker
Arkansas State University (US)
4 shared publications
- Engineering Elevated Vitamin C in Plants to Improve their Nutritional Content, Growth, and Tolerance to Abiotic Stress
- Characterization of Two Arabidopsis L-Gulono-1,4-lactone Oxidases, AtGulLO3 and AtGulLO5, Involved in Ascorbate Biosynthesis
- Recent progress on the characterization of aldonolactone oxidoreductases
- Arabidopsis Gluconolactonase, the First Enzyme Involved in Ascorbate Biosynthesis Localized in the Chloroplast Protects Plants from Light Stress
Malia Gehan
Donald Danforth Plant Science Center (US)
4 shared publications
- PlantCV v2: Image analysis software for high-throughput plant phenotyping
- PlantCV v2.0: Image analysis software for high-throughput plant phenotyping
- PlantCV v2.0: Image analysis software for high-throughput plant phenotyping
- NAPPN: Who We Are, Where We Are Going, and Why You Should Join Us!
Noah Fahlgren
Donald Danforth Plant Science Center (US)
4 shared publications
- PlantCV v2: Image analysis software for high-throughput plant phenotyping
- PlantCV v2.0: Image analysis software for high-throughput plant phenotyping
- PlantCV v2.0: Image analysis software for high-throughput plant phenotyping
- NAPPN: Who We Are, Where We Are Going, and Why You Should Join Us!
Leonardo Chavez
Donald Danforth Plant Science Center (US)
4 shared publications
- PlantCV v2: Image analysis software for high-throughput plant phenotyping
- PlantCV v2.0: Image analysis software for high-throughput plant phenotyping
- PlantCV v2.0: Image analysis software for high-throughput plant phenotyping
- PlantCV v4: Image analysis software for high-throughput plant phenotyping
John G. Hodge
Oklahoma State University (US)
4 shared publications
- PlantCV v2: Image analysis software for high-throughput plant phenotyping
- PlantCV v2.0: Image analysis software for high-throughput plant phenotyping
- PlantCV v2.0: Image analysis software for high-throughput plant phenotyping
- PlantCV v4: Image analysis software for high-throughput plant phenotyping
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