Larry C. Purcell Source Confirmed
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Researcher
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Larry C. Purcell is a faculty member at the University of Arkansas at Fayetteville. His research focuses on plant genetics and cultivation, with a significant emphasis on soybean. Purcell has investigated genomic prediction models for various crop traits, including those that differ in heritability for soybean, rice, and maize. His work also examines environmental factors associated with nitrogen fixation prediction in soybean, as well as the impact of sulfur fertilization on soybean yield and seed composition.
Further areas of his research include identifying and confirming loci associated with canopy wilting in soybean using genome-wide association mapping. Purcell has also studied the effects of climate change and management practices on soybean nitrogen fixation, soil nitrogen mineralization, nitrous oxide emissions, and seed yield. He has explored the benefits of seed inoculation with Azospirillum brasilense in U.S. soybean systems. Purcell's scholarship metrics include an h-index of 53, with 186 total publications and over 8,428 citations, designating him as a highly cited researcher. He maintains collaborations with Avjinder S. Kaler, Siva K. Chamarthi, Jeremy Ross, and C. Andy King, all from the University of Arkansas at Fayetteville.
Metrics
- h-index: 53
- Publications: 186
- Citations: 8,428
Selected Publications
- Registration of non‐nodulating and nodulating isolines and heterogenous inbred families developed from an elite soybean cultivar ‘KS4120NSGT’ (2025) DOI
- Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction (2024) DOI
- Interaction of drought stress and potassium deficiency on soybean vigor and leaf temperature (2024) DOI
- Evaluating differences among crop models in simulating soybean in-season growth (2024) DOI
- High uncertainty in soybean models for simulation of crop N dynamics under variable CO2 and Nitrogen fertilization (2023)
- Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes (2023) DOI
- Additional file 4 of Genomic prediction models for traits differing in heritability for soybean, rice, and maize (2022) DOI
- Additional file 3 of Genomic prediction models for traits differing in heritability for soybean, rice, and maize (2022) DOI
- Identification of genomic regions associated with the plasticity of carbon 13 ratio in soybean (2022) DOI
- Climate Change and Management Impacts on Soybean N Fixation, Soil N Mineralization, N2O Emissions, and Seed Yield (2022) DOI
- Soybean management for seed composition: The perspective of U.S. farmers (2022) DOI
- Seed inoculation with Azospirillum brasilense in the U.S. soybean systems (2022) DOI
- Are soybean models ready for climate change food impact assessments? (2022) DOI
- Genomic prediction models for traits differing in heritability for soybean, rice, and maize (2022) DOI
- Late-Season Nitrogen Applications Increase Soybean Yield and Seed Protein Concentration (2021) DOI
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