Preprints

  • Haipeng Yu, Rohan L Fernando, and Jack CM Dekkers. Validation of the linear regression method to evaluate population accuracy and bias of predictions for non-linear models. bioRxiv. [bioRxiv]

Publications

More Publications

. Effects of space allowance on patterns of activity in group-housed dairy calves. JDS Communications, 2024.

DOI

. Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision. Journal of Animal Science, 2024.

DOI

. Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms. Smart Agricultural Technology, 2023.

DOI

. Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle. Frontiers in Genetics, 2022.

DOI

. GCA: An R package for genetic connectedness analysis using pedigree and genomic data. BMC Genomics, 2021.

DOI bioRxiv

. Identification of Quantitative Disease Resistance Loci towards Four Pythium Species in Soybean. Frontiers in Plant Science, 2021.

DOI

. Structural equation modelling for unravelling the multivariate genomic architecture of milk proteins in dairy cattle. Journal of Dairy Science, 2021.

DOI

. Forecasting dynamic body weight of non-restrained pigs from images using an RGB-D sensor camera. Translational Animal Science, 2021.

DOI

. Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning. Plant Direct, 2021.

DOI bioRxiv

. An assessment of genomic connectedness measures in Nellore cattle. Journal of Animal Science, 2020.

DOI PubMed EuropePMC

Software

  • Computer vision software

    • ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision. [Online Application] [Documentation]

  • R package

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

Teaching

Lead Instructor

  • University of Florida
    • ANS 6932 Digital Data Analysis for Precision Livestock Farming (Fall 2023)

Guest Instructor

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

Graduate Teaching Assistant

  • Virginia Tech
    • APSC 5984: Complex Trait Genomics (Spring 2020) [WWW]
    • 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

  • Factor Analytic Model [WWW]
  • Gaussian Bayesian Network [WWW]
  • Structural Equation Model GWAS [WWW]

Contact