Chunda Feng Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Chunda Feng's research focuses on the genetic basis of plant and animal traits, particularly in spinach and cotton. Recent work includes genome-wide association studies to identify genetic markers for disease resistance and other agronomic traits in spinach, such as resistance to white rust, downy mildew, and bacterial blight. Feng has also investigated genes controlling fruit spine development and bolting in spinach. In cotton research, Feng has identified new genetic sources of resistance to bacterial blight and analyzed the transcriptome of cotton germplasm responding to reniform nematodes.
Feng's work also extends to computational biology, with grant funding from the National Institutes of Health (NIH) and the National Science Foundation (NSF) for developing efficient force fields for computer-aided drug design and extending the time and length scales of electronic structure methods. Additional NSF funding has supported research on precipitation and streamflow reconstruction in the Amazon River Basin. Feng leads a research group and has published 57 papers, with an h-index of 19 and over 1,100 citations. Key collaborators include James C. Correll and Gehendra Bhattarai from the University of Arkansas at Fayetteville.
Metrics
- h-index: 19
- Publications: 57
- Citations: 1,161
Selected Publications
- Phenotypic and genotypic characterization of novel strains of spinach downy mildew pathogen (2025) DOI
- Dual transcriptional characterization of spinach and Peronospora effusa during resistant and susceptible race-cultivar interactions (2024) DOI
- Draft genome sequences for four isolates of the hemp ( <i>Cannabis sativa</i> ) fungal pathogen <i>Neofusicoccum parvum</i> (2024) DOI
- Evaluation of downy mildew resistance in spinach (Spinacia oleracea) (2024) DOI
- Evaluation of Downy Mildew Resistance in Spinach (Spinacia oleracea) (2023) DOI
- Genome-wide association study and genomic prediction of white rust resistance in USDA GRIN spinach germplasm (2022) DOI
- Ancestral chromosomes for the Peronosporaceae inferred from a telomere-to-telomere genome assembly of <i>Peronospora effusa</i> (2021) DOI
- High resolution mapping and candidate gene identification of downy mildew race 16 resistance in spinach (2021) DOI
- Fine mapping and molecular marker development of the Fs gene controlling fruit spines in spinach (Spinacia oleracea L.) (2021) DOI
Federal Grants 3 $1,011,492 total
Efficient and Accurate Force Fields for Computer-Aided Drug Design
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