Ainong Shi Data-verified

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

High Impact

Associate Professor

Last publication 2026 Last refreshed 2026-05-16

faculty

Horticulture

35 h-index 219 pubs 4,229 cited

Biography and Research Information

OverviewAI-generated summary

Ainong Shi's research laboratory at the University of Arkansas focuses on plant breeding and genetics, with a specialization in vegetable crops. His work involves developing new cultivars and germplasm for arugula, cowpea, and spinach. Dr. Shi's team employs genetic mapping and genome-wide association studies (GWAS) to identify genetic markers linked to important agronomic, abiotic, and biotic traits in crops such as arugula, beans (including cowpea, common bean, and soybean), spinach, and tomato.

Advanced sequencing technologies, including whole genome sequencing and resequencing (WGS, WGR), ddRADseq, and genotyping by sequencing (GBS), are utilized in their studies. Dr. Shi has a significant track record of securing research funding, having been PI or co-PI on over 30 grants totaling more than $9.6 million. Approximately $3.37 million of this funding has been allocated directly to his laboratory. With three decades of experience in classic breeding and two decades in molecular breeding, Dr. Shi's expertise spans both traditional and modern plant breeding techniques.

Metrics

  • h-index: 35
  • Publications: 219
  • Citations: 4,229

Selected Publications

  • Genome-wide association study and genomic prediction of fruit weight in spinach (2026)
  • Major Quantitative Trait Loci Control Low-Temperature Germination in Lettuce (2026)
  • Unraveling the molecular landscape of waterlogging stress in cowpea (Vigna unguiculata (L.) Walp.): integrating transcriptomics, phenomics, and metabolomics with machine learning insights (2025)
  • Field-Based Screening and Evaluation of Salt-Tolerant Tomato Germplasm (2025)
    1 citation DOI OpenAlex
  • Transcriptome analysis reveals nutrient deprivation reduces nitrate content in lettuce (Lactuca sativa var. ramosa Hort.) and enhances nitrogen metabolism (2025)
    2 citations DOI OpenAlex
  • Genome and GWAS analyses for soybean cyst nematode resistance in USDA world-wide common bean (Phaseolus vulgaris) germplasm (2025)
    5 citations DOI OpenAlex
  • Genome-Wide Association Study and Genomic Prediction of Soybean Mosaic Virus Resistance (2025)
    4 citations DOI OpenAlex
  • Improvement of crop production in controlled environment agriculture through breeding (2025)
    19 citations DOI OpenAlex
  • Genome-wide association analysis and genomic prediction of salt tolerance trait in soybean germplasm (2024)
    7 citations DOI OpenAlex
  • Low frequency of the wild-type freezing-tolerance LsCBF7 allele among lettuce population suggests a negative selection during domestication and breeding (2024)
    5 citations DOI OpenAlex
  • Genetic Dissection of Diverse Seed Coat Patterns in Cowpea through a Comprehensive GWAS Approach (2024)
    8 citations DOI OpenAlex
  • Evaluation of Tomato Germplasm against Tomato Brown Rugose Fruit Virus and Identification of Resistance in Solanum pimpinellifolium (2024)
    10 citations DOI OpenAlex
  • Evaluation of Drought Tolerance in USDA Tomato Germplasm at Seedling Stage (2024)
    6 citations DOI OpenAlex
  • An Evaluation of Bacterial Wilt (Ralstonia solanacearum) Resistance in a Set of Tomato Germplasm from the United States Department of Agriculture (2024)
    10 citations DOI OpenAlex
  • Evaluation of Tomato Germplasm against Tomato Brown Rugose Fruit Virus and Identification of Resistance in Solanum pimpinellifolium (2024)
    7 citations DOI OpenAlex

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