Andy Pereira Source Confirmed

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

High Impact

Professor

University of Arkansas at Fayetteville

faculty

51 h-index 235 pubs 12,437 cited

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Biography and Research Information

OverviewAI-generated summary

Andy Pereira is a professor at the University of Arkansas at Fayetteville whose research focuses on the genetic and molecular underpinnings of plant traits, particularly in rice. His work utilizes advanced genomic techniques and computational approaches to identify genes and genomic regions associated with important agricultural characteristics such as grain yield, quality, and stress tolerance.

Recent publications from Pereira's group investigate the genetic dissection of grain yield components under high night temperature stress in rice diversity panels and recombinant inbred line (RIL) populations. He also explores quantitative trait loci (QTLs) and candidate genes related to chalkiness, grain characteristics, and chlorophyll content, especially under drought and high night temperature conditions. His research employs high-throughput SNP markers and network-based machine learning to predict factors like transcription factors involved in drought resistance.

Pereira's scholarship metrics include an h-index of 51, 235 total publications, and over 12,000 citations, designating him as a highly cited researcher. He actively collaborates with researchers at the University of Arkansas at Fayetteville, including Julie A. Thomas, Julie Thomas, Yheni Dwiningsih, and Charles Ruiz, with whom he has co-authored numerous publications. Pereira also maintains an active lab website.

Metrics

  • h-index: 51
  • Publications: 235
  • Citations: 12,437

Selected Publications

  • Integrative Genomic Analyses to Unravel Genomic Regions and Candidate Genes Associated with Flag Leaf Photosynthesis at the Reproductive Stage in Rice (2025) DOI
  • Rice master regulator ‘HYR’ enhances growth and defense mechanisms with consequences for fall armyworm growth and host selection (2025) DOI
  • Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes (2023) DOI
  • High Daytime Temperature Responsive MicroRNA Profiles in Developing Grains of Rice Varieties with Contrasting Chalkiness (2023) DOI
  • Molecular mapping and characterization of QTLs for grain quality traits in a RIL population of US rice under high nighttime temperature stress (2023) DOI
  • Molecular mapping and characterization of QTLs for grain quality traits in a RIL population of US rice under high nighttime temperature stress (2022) DOI
  • Identification of QTLs and Candidate Loci Associated with Drought-Related Traits of the K/Z RIL Rice Population (2022) DOI
  • QTL mapping of panicle architecture and yield-related traits between two US rice cultivars 'LaGrue' and 'Lemont' (2021) DOI
  • Identification of Genomic Regions Controlling Chalkiness and Grain Characteristics in a Recombinant Inbred Line Rice Population Based on High-Throughput SNP Markers (2021) DOI
  • Genetic Dissection of Grain Yield Component Traits Under High Nighttime Temperature Stress in a Rice Diversity Panel (2021) DOI
  • Quantitative Trait Loci and Candidate Gene Identification for Chlorophyll Content in RIL Rice Population under Drought Conditions (2021) DOI
  • Using Network-Based Machine Learning to Predict Transcription Factors Involved in Drought Resistance (2021) DOI

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