Dr.-Ing. Nina Melzer

Research Institute for Farm Animal Biology (FBN)
Data Service Centre
Wilhelm-Stahl-Allee 2
18196 Dummerstorf

Research interests

  • Handling and processing of sensor data
  • Statistical learning methods
  • Developing workflows for preparation and analyses of sensor data
  • Visualizing and providing relevant information from complex data
  • Social behavior in livestock

Curriculum Vitae

  • 2020-present: Scientist at the Research Institute for Farm Animal Biology (FBN) Dummerstorf
  • 2016-2020: Leader of Junior Research Group “Phenotyping of Animal Welfare”, Leibniz Institute for Farm Animal Biology (FBN) Dummerstorf, Institute of Genetics and Biometry, Livestock Genetics and Breeding Unit. The junior research group was part of the Phenomics Joint Project “PHÄNOMICS” and was funded by the BMBF (Grant No.: 0315536G) and by the FBN.
  • 2016: Three-month research stay at the University of Guelph, Department of Animal Biosciences, Canada (Topic: "Analysis of genomic inbreeding in dairy cattle using Next-Generation Sequencing (NGS)"; funded by the DFG (Grant No.: ME 4746/1-1) and FBN)
  • 2013-2015: PostDoc at the Leibniz Institute for Farm Animal Biology (FBN) Dummerstorf, Institute of Genetics and Biometry
  • 2014: Engineering Doctorate, Dr.-Ing. (Bioinformatics). Thesis: "Investigating possibilities to predict milk phenotypes in Holstein Friesian cows based on a more complex model of the genotype-phenotype map" at the University Rostock, Germany
  • 2010: Research assistant at the University of Rostock, Institute of Computer Science
  • 2008-2013: PhD student at the Leibniz Institute for Farm Animal Biology (FBN) Dummerstorf, Institute of Genetics and Biometry
  • 2006: Diploma in Bioinformatics. Topic: "Differentielle Korrelation von Mikroarray-Daten"/"Differential correlation of microarray data" at the Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany

Publications

Wittenburg, D.; Melzer, N.; Abdollahi Sisi, N.; Ding , X.; Seefried, F. R. (2026):
A comparative study on recombination activity in cattle
Genetics Selection Evolution 58: 24, 1-16
https://doi.org/10.1186/s12711-026-01041-0
Melzer, N.; Qanbari, S.; Ding, X.; Wittenburg, D. (2023):
CLARITY: a Shiny app for interactive visualisation of the bovine physical-genetic map
Frontiers in Genetics 14: 1082782, 1-10
https://doi.org/10.3389/fgene.2023.1082782
Melzer, N.; Foris, B.; Langbein, J. (2021):
Validation of a real-time location system for zone assignment and neighbor detection in dairy cow groups
Computers and Electronics in Agriculture 187: 106280, 1-16
https://doi.org/10.1016/j.compag.2021.106280
Fóris, B.; Haas, H.-G.; Langbein, J.; Melzer, N. (2021):
Familiarity influences social networks in dairy cows after regrouping
Journal of Dairy Science 140 (3): 3485-3494
https://doi.org/10.3168/jds.2020-18896
Fóris, B.; Thompson, A. J.; von Keyserlingk, M. A. G.; Melzer, N.; Weary, D. (2019):
Automatic detection of feeding- and drinking-related agonistic behavior and dominance in dairy cows
Journal of Dairy Science 102 (10): 9176-9186
https://doi.org/10.3168/jds.2019-16697
Fóris, B.; Zebunke, M.; Langbein, J.; Melzer, N. (2019):
Comprehensive analysis of affiliative and agonistic social networks in lactating dairy cattle groups
Applied Animal Behaviour Science 210: 60-67
https://doi.org/10.1016/j.applanim.2018.10.016
Fóris, B.; Zebunke, M.; Langbein, J.; Melzer, N. (2018):
Evaluating the temporal and situational consistency of personality traits in adult dairy cattle
PLoS One 13 (10): e0204619, 1-16
https://doi.org/10.1371/journal.pone.0204619
Zebunke, M.; Kreiser, M.; Melzer, N.; Langbein, J.; Puppe, B. (2018):
Better, not just more - contrast in qualitative aspects of reward facillitates impulse control in pigs
Frontiers in Psychology 9: 2099, 1-12
https://doi.org/10.3389/fpsyg.2018.02099
Forutan, M.; Ansari Mahyari, S.; Baes, C.; Melzer, N.; Schenkel, F.; Sargolzaei, M. (2018):
Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle
BMC Genomics 19 (1): 98, 1-12
https://doi.org/10.1186/s12864-018-4453-z
Melzer, N.; Trißl, S.; Nürnberg, G. (2017):
Short communication: Estimating lactation curves for highly inhomogeneous milk yield data of an F2 population (Charolais × German Holstein)
Journal of Dairy Science 100 (11): 9136-9142
https://doi.org/10.3168/jds.2017-12772
Zebunke, M.; Nürnberg, G.; Melzer, N.; Puppe, B. (2017):
The backtest in pigs revisited—Inter-situational behaviour and animal classification
Applied Animal Behaviour Science 194: 7-13
doi.org/10.1016/j.applanim.2017.05.011
Fóris, B.; Zebunke, M.; Langbein, J.; Melzer, N. (2016):
Using Social Network Analysis to study affiliative and agonistic relationships in dairy cattle. In: Aktuelle Arbeiten zur artgemäßen Tierhaltung 2016 KTBL, Darmstadt (978-3-945088-25-8) (511): 264-266
Fóris, B.; Zebunke, M.; Langbein, J.; Melzer, N. (2016):
Individual and within-group personality measurements in dairy cattle. Schriftenreihe / Leibniz-Institut für Nutztierbiol 25: 5-8
Wittenburg, D.; Melzer, N.; Reinsch, N. (2015):
Genomic additive and dominance variance of milk performance traits. J Anim Breed Genet 132 (1): 3-8
https://dx.doi.org/10.1111/jbg.12103
Strunz, S.; Kacprowski, T.K.; Melzer, N.; Friedrich, J.; de la Fuente, A. (2014):
A Core Transcriptional Regulatory Network in Cows. In: Proceedings of the 10th World Congress on Genetics Applied to Livestock Production (American Society of Animal Science, Hrsg.) (https://asas.org/docs/default-source/wcgalp-poster): 653
Melzer, N. (2014):
Investigating possibilities to predict milk phenotypes in Holstein Friesian cows based on a more complex model of the genotype-phenotype map. Dissertation, Universität Rostock (urn:nbn:de:gbv:28-diss2014-0195-4): i-xxvi, 1-181
Melzer, N.; Wittenburg, D.; Repsilber, D. (2013):
Investigating a complex genotype-phenotype map for development of methods to predict genetic values based on genome-wide marker data - a simulation study for the livestock perspective. Arch Tierzucht 56 (38): 380-398
https://dx.doi.org/10.7482/0003-9438-56-038
Melzer, N.; Wittenburg, D.; Repsilber, D. (2013):
Integrating milk metabolite profile information for the prediction of traditional milk traits based on SNP information for Holstein cows. Plos One 8 (8): 1-10
https://dx.doi.org/10.1371/journal.pone.0070256
Melzer, N.; Wittenburg, D.; Hartwig, S.; Jakubowski, S.; Kesting, U.; Willmitzer, L.; Lisec, J.; Reinsch, N.; Repsilber, D. (2013):
Investigating associations between milk metabolite profiles and milk traits of Holstein cows. J Dairy Sci 96 (3): 1521-1534
https://dx.doi.org/10.3168/jds.2012-5743
Wittenburg, D.; Melzer, N.; Willmitzer, L.; Lisec, J.; Kesting, U.; Reinsch, N.; Repsilber, D. (2013):
Milk metabolites and their genetic variability. J Dairy Sci 96 (4): 2557-2569
https://dx.doi.org/10.3168/jds.2012-5635