News

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Below is a summary of news from our lab and links to socials:

2024-09-09/13 SheepTreeSequence Royal Society workshop (Milano, Italy)

Gabriela Mafra Fortuna, Jana Obsteter, Hannes Becher, and Gregor Gorjanc have met with Italian colleagues to work Royal Society funded international exchange project on inferring and analysing tree sequence in sheep.

2024-09-01/05 The 75th European Association for Animal Production (EAAP) conference (Florence, Italy)

  • Gabriela Mafra Fortuna (presented by Gregor): TODO
  • Isidore Houaga (presented by Gregor): TODO
  • Isidore Houaga (presented by Chrissy Rochus): TODO
  • Audrey Martin: TODO
  • Laura Strachan: TODO
  • Jana Obsteter: TODO
  • TODO

2024-08-19/30 Gregor visited The University of Oregon (Eugene, Oregon, USA) to work on quantitative genetics models for ancestral recombination graphs and associated computational algorithms

2024-08-16 New paper: Manuscript “Plant breeding simulations with AlphaSimR” led by Jon Bancic and Philip Greenspoon, Chris Gaynor, and Gregor Gorjanc has now been reviewed, improved,  and accepted for publication! See it at https://doi.org/10.1002/csc2.21312. Importantly this publication comes with a significant collection of code at https://github.com/HighlanderLab/jbancic_alphasimr_plants to demonstrate how to do plant breeding simulations with AlphaSimR!

2024-07-22/26 The 7th International Conference on Quantitative Genetics (ICQG) (Vienna, Austria)

This is such an interesting conference with very nice diversity of topics and ample time for discussions with great colleagues from across the world! We contributed with these posters and a talk:

  • Daniel Tolhurst: Disentangling non-crossover and crossover genotype by environment interaction for selection
  • Jon Bancic: A transition two-part breeding strategy shows advantage under multiple-trait selection and different genotype by environment interaction levels
  • David Lopez Carbonell: Exploring Imprinting Phenomena: AlphaSimR's New Functionalities
  • Hannes Becher: Breeding simulations with efficient haplotype tracking – putting ARGs into AlphaSimR
  • Guilherme da Silva Pereira: Tree sequences efficiently store autotetraploid haplotype information from a multi-parental breeding population of potato
  • Gabriela Mafra Fortuna: Estimating haplotype and mutation effects in the context of genome sequence via ancestral recombination graphs
  • Gregor Gorjanc: Quantitative genetic modelling of diverse populations using ancestral recombination graphs
  • Isidore Houaga: The potential of spatial modelling for quantitative genetic analysis of Tanzanian smallholder crossbred dairy cattle

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