Larry C. Purcell Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

University of Arkansas

Last publication 2026 Last refreshed 2026-05-16

faculty

53 h-index 193 pubs 8,556 cited

Research Areas

Links

ORCID Google Scholar Lab Website

OverviewAI-generated summary

Larry C. Purcell's research focuses on the genetic and environmental factors influencing crop development, with a significant emphasis on soybean (Glycine max). His work investigates genomic prediction models for various crop traits in soybean, rice, and maize, aiming to improve agricultural resilience in the face of climate change. Purcell has explored environmental factors associated with nitrogen fixation prediction in soybean and conducted meta-analyses on the effects of sulfur fertilization on soybean yield and seed composition. His investigations also extend to understanding the genetic basis of plant stress responses, such as canopy wilting in soybean, utilizing genome-wide association mapping to identify associated loci.

Beyond crop improvement, Purcell's research interests encompass broader agricultural and environmental themes. This includes studying the impact of climate change and management practices on nitrogen fixation, soil processes, and emissions in soybean systems. He has also examined the efficacy of seed inoculation with specific bacteria to enhance soybean cultivation. One publication also addresses the anti-biofilm effects of certain antimicrobial agents on uropathogenic bacteria, indicating a potential, albeit less central, interest in microbial applications.

Purcell holds a strong academic record, evidenced by his h-index of 53 and over 8,500 citations across more than 190 publications. He actively collaborates with researchers at the University of Arkansas at Fayetteville and the Arkansas Agricultural Experiment Station, contributing to a network of agricultural science expertise.

Metrics

h-index: 53
Publications: 193
Citations: 8,556

Selected Publications

Registration of non‐nodulating and nodulating isolines and heterogenous inbred families developed from an elite soybean cultivar ‘KS4120NSGT’ (2025)

DOI OpenAlex
Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction (2024)

4 citations DOI OpenAlex
Interaction of drought stress and potassium deficiency on soybean vigor and leaf temperature (2024)

DOI OpenAlex
Evaluating differences among crop models in simulating soybean in-season growth (2024)

13 citations DOI OpenAlex
High uncertainty in soybean models for simulation of crop N dynamics under variable CO2 and Nitrogen fertilization (2023)

OpenAlex
Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes (2023)

1 citation DOI OpenAlex
Additional file 4 of Genomic prediction models for traits differing in heritability for soybean, rice, and maize (2022)

DOI OpenAlex
Additional file 3 of Genomic prediction models for traits differing in heritability for soybean, rice, and maize (2022)

DOI OpenAlex
Identification of genomic regions associated with the plasticity of carbon 13 ratio in soybean (2022)

8 citations DOI OpenAlex
Climate Change and Management Impacts on Soybean N Fixation, Soil N Mineralization, N2O Emissions, and Seed Yield (2022)

31 citations DOI OpenAlex
Soybean management for seed composition: The perspective of U.S. farmers (2022)

7 citations DOI OpenAlex
Seed inoculation with Azospirillum brasilense in the U.S. soybean systems (2022)

21 citations DOI OpenAlex
Are soybean models ready for climate change food impact assessments? (2022)

74 citations DOI OpenAlex
Genomic prediction models for traits differing in heritability for soybean, rice, and maize (2022)

63 citations DOI OpenAlex
Late-Season Nitrogen Applications Increase Soybean Yield and Seed Protein Concentration (2021)

20 citations DOI OpenAlex