Publications

. Deciphering cattle temperament measures derived from a four-platform standing scale using genetic factor analytic modeling. bioRxiv, 2020.

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. Examining the relationships between phenotypic plasticity and local environments with genomic structural equation models. bioRxiv, 2019.

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. Blood collection has negligible impact on scoring temperament in Angus-based weaned calves. Livestock Science, 2019.

DOI

. GCA: An R package for genetic connectedness analysis using pedigree and genomic data. bioRxiv, 2019.

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. Genomic Bayesian confirmatory factor analysis and Bayesian network to characterize a wide spectrum of rice phenotypes. G3: Genes, Genomes, Genetics, 2019.

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. Do stronger measures of genomic connectedness enhance prediction accuracies across management units?. Journal of Animal Science, 2018.

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. Genomic relatedness strengthens genetic connectedness across management units. G3: Genes, Genomes, Genetics, 2017.

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Software

  • R package
    • GCA: An R package for genetic connectedness analysis across units using pedigree and genomic data. [Github Source] [Documentation]

Teaching

Guest Instructor

  • Virginia Tech
  • Univeristy of Nebraska-Lincoln
    • ASCI 944/STAT 844 Quantitative Methods for Genomics of Complex Traits (Spring 2018) [Slide] [R]

Graduate Teaching Assistant

  • Virginia Tech
    • ALS 3104: Animal Breeding and Genetics (Spring 2019)
  • North Dakota State University
    • ANSC 357: Animal Genetics (Spring 2016)
    • AGRI 189: Skills for Academic Success (Fall 2015)

Tutorials

  • Gaussian Bayesian Network [R]
  • Factor Analytic Model [R]

Contact

  • haipengyu@vt.edu
  • 3695 Litton Reaves Hall, 175 West Campus Drive, Virginia Tech, Blacksburg, Virginia 24061