Johannes Geibel, M. Sc.


Current research and projects

Scientific staff and PhD student
  • SNP Ascertainment Bias in population-genetic analyses of livestock populations

Membership in scientific societies

  • Deutsche Gesellschaft fuer Zuechtungskunde (DGfZ)
  • European Association of Animal Production (EAAP)

Education

2016 Master Agricultural Sciences (M.Sc. Agr.), University of Goettingen
  • Main focus: Animal Sciences
  • Title of the the master thesis: "Influence of Subspecies-Specific Genotypes on Growth- and Carcase- Traits in an Australian Bos taurus- Bos indicus Composite Breed"
2014 Bachelor Agricultural Sciences (B. Sc. Agr.), University of Goettingen
  • Main focus: Animal Sciences
  • Title of the bachelor thesis: "Auspraegung des Geschlechtsdimorphismus bei verschiedenen Huehnerrassen"

Working experiences

  • 2016 - Scientific staff, University of Goettingen, Department of Animal Sciences, Center of Integrated Breeding Research, Animal Breeding and Genetics Group
  • 2016 - 2016 Student Assistant, University of Goettingen, Department of Animal Sciences, Center of Integrated Breeding Research, Animal Breeding and Genetics Group
  • 2011 - 2011 Saxon State Stud Administration - Moritzburg State Stud
  • 2008 - 2011 Vocational training as skilled worker for horse breeding and husbandry (Pferdewirt Zucht und Haltung), Saxon State Stud Administration - Moritzburg State Stud

Teaching

  • B.Agr.0009 Grundlagen der Nutztierwissenschaften II
  • B.Agr.0325 Nutztierzuechtung
  • M.Agr.0068 Quantitativ- genetische Methoden der Tierzucht
  • M.Agr.0076 Statistische Nutztiergenetik
  • M.Agr.0126 Quantitative Genetics and population genetics
  • M.Agr.0138 Selection theory, design and optimisation of breeding programs
  • M.iPAB.0016 Applied effective R programming in animal breeding and genetics

Publications

  • Geibel J., Praefke N.P., Weigend S., Simianer H., Reimer C. (2022) Assessment of linkage disequilibrium patterns between structural variants and single nucleotide polymorphisms in three commercial chicken populations;BMC Genomics volume 23, Article number: 193 (2022); https://doi.org/10.1186/s12864-022-08418-7
  • Qanbari, S.; Rubin, C.-J.; Maqbool, K.; Weigend, S.; Weigend, A.; Geibel, J.; Kerje, S.; Wurmser, C.; Townsend Peterson, A.; Lehr Brisbin Jr., I.; Preisinger, R.; Fries, R.; Simianer, H.; Andersson, L. (2019) Genetics of adaptation in modern chicken. PLOS Genetics, DOI: 10.1371/journal.pgen.1007989.
  • Geibel, J., Weigend, S., Weigend, A., Reimer, C., Pook, T., Simianer, H. (2018) Array Design and SNP Ascertainment Bias. Proceedings, 11th World Congress of Genetics Applied to Livestock Production, Auckland, New Zealand.
  • Reimer, C., Ha, N.-T., Sharifi, A.R, Weigend, S., Geibel, J.; H. Simianer, H. (2018) Analyses of the breed integrity of the Goettingen Minipig using pool-sequencing. Proceedings, 11th World Congress of Genetics Applied to Livestock Production, Auckland, New Zealand.
  • Büttgen, L.; Geibel, J.; Simianer, H.; Pook, T. (2020) Simulation Study on the Integration of Health Traits in Horse Breeding Programs. Animals 10 (7). DOI: 10.3390/ani10071153.
  • Peripolli, E.; Reimer, C.; Ha, N.-T.; Geibel, J.; Machado, M. A.; do Carmo Panetto, J. C.; do Egito, A. A.; Baldi, F.; Simianer, H.; da Silva, M. V. G. (2020) Genome-wide detection of signatures of selection in indicine and Brazilian locally adapted taurine cattle breeds using whole-genome re-sequencing data. BMC Genomics 21 (1). DOI: 10.1186/s12864-020-07035-6.
  • Reimer, C.; Ha, N.-T.; Sharifi, A. R.; Geibel, J.; Mikkelsen, L. F.; Schlather, M.; Weigend, S.; Simianer, H. (2020) Assessingbreed integrity of Göttingen Minipigs. BMC Genomics 21 (1). DOI: 10.1186/s12864-020-6590-4.
  • Pook, T.; Mayer, M.; Geibel, J.; Weigend, S.; Cavero, D.; Schoen, C. C.; Simianer, H. (2020)Improving imputation quality in BEAGLE for crop and livestock data. G3: Genes,Genomes, Genetics 10 (1). DOI: 10.1534/g3.119.400798.
  • Geibel, J., Reimer, C., Weigend, S., Weigend, A., Pook, T., Simianer, H. (2021), How array design creates SNP ascertainment bias. PLoS ONE 16(3): e0245178. https://doi.org/10.1371/journal.pone.0245178.
  • Geibel, J., Reimer, C., Pook, T., Weigend, S., Weigend, A., Simianer, H. (2021), How imputation can mitigate SNP ascertainment Bias. BMC Genomics volume 22, Article number: 340 (2021) ; https://doi.org/10.1186/s12864-021-07663-6