LabCompass

Alencar Xavier

Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette

Mid career · publishing since 2013

Publications

52

Citations

1,295

Est. group size

~1

Recurring co-author estimate

Active years

14

Publishing since 2013

Research summary
AI-generated

Alencar Xavier works on genomic prediction and machine learning methods for plant and animal breeding, with a strong focus on maize and soybean. Their work combines statistical genetics, environmental data, and computational tools to predict traits like crop yield, disease resistance, and genetic markers, and includes some applications extending to human genetics (e.g., Alzheimer's disease marker identification). This research helps breeders use genetic and environmental information to make better predictions about which plant varieties will perform well.

Genomic prediction and machine learning in plant breedingGenotype-by-environment interaction modelingMaize and soybean geneticsStatistical methods for genetic marker analysisCrop disease resistance and mapping

Publication output has been relatively steady but modest over the last decade, with a slight dip around 2020-2023 followed by a recent uptick in 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.8/year recently
2017: 7 publications7172018: 3 publications182019: 6 publications192020: 3 publications202021: 3 publications212022: 5 publications222023: 3 publications232024: 6 publications242025: 4 publications252026: 1 publication26
Recent publications
Publishes in
  • G3 Genes Genomes Genetics×6
  • Genetics×4
  • Agronomy×3
  • BMC Bioinformatics×3
  • Crop Science×3
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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