Prof. Dr. agr. habil. Norbert Reinsch
Research Institute for Farm Animal Biology (FBN)
Working group Quantitative Animal Genetics
Wilhelm-Stahl-Allee 2
18196 Dummerstorf
Germany
Working group Quantitative Animal Genetics
Wilhelm-Stahl-Allee 2
18196 Dummerstorf
Germany
Publications
Reyer, H.; Abou-Soliman, I.; Schulze, M.; Henne, H.; Reinsch, N.; Schön, J.; Wimmers, K. (2024):
Genome-Wide Association Analysis of Semen Characteristics in Piétrain Boars.
Genes 15 (3): 382, 1-12
https://doi.org/10.3390/genes15030382
Honerlagen, H.; Reyer, H.; Abousoliman, I.; Segelke, D.; Ponsuksili, S.; Trakooljul, N.; Reinsch, N.; Kuhla, B.; Wimmers, K. (2023):
Microbial signature inferred from genomic breeding selection on milk urea concentration and its relation to proxies of nitrogen-utilization efficiency in Holsteins. J Dairy Sci 106 (7): 4682-4697
Jahnel, R. E.; Blunk, I.; Wittenburg, D.; Reinsch, N. (2023):
Relationship between milk urea content and important milk traits in Holstein cattle. Animal 17 (5): 100767, 1-10
Honerlagen, H.; Reyer, H.; Segelke, D.; Müller, C. B. M.; Prahl, M. C.; Ponsuksili, S.; Trakooljul, N.; Reinsch, N.; Kuhla, B.; Wimmers, K. (2022):
Ruminal background of predisposed milk urea (MU) concentration in Holsteins. Front microbiol 13: 939711, 1-18
Mbuthia, J. M.; Eggert, A.; Reinsch, N. (2022):
Cooling temperature humidity index-days as a heat load indicator for milk production traits. Front Anim Sci 3: 946592, 1-9
Mbuthia, J. M.; Eggert, A.; Reinsch, N. (2022):
Comparison of high resolution observational and grid-interpolated weather data and application to thermal stress on herd average milk production traits in a temperate environment. AGR FOREST METEOROL 322: 108923, 1-10
Palma Vera, S. E.; Reyer, H.; Langhammer, M.; Reinsch, N.; Derezanin, L.; Fickel, J.; Qanbari, S.; Weitzel, J. M.; Franzenburg, S.; Hemmrich-Stanisak, G.; Schoen, J. (2022):
Genomic characterization of the world’s longest selection experiment in mouse reveals the complexity of polygenic traits. BMC BIOL 20: 52, 1-20
Mbuthia, J. M.; Mayer, M.; Reinsch, N. (2022):
A review of methods for improving resolution of milk production data and weather information for measuring heat stress in dairy cattle. LIVEST SCI 255: 104794, 1-11
https://doi.org/10.1016/j.livsci.2021.104794
Musa, A.A.; Reinsch, N. (2022):
Hedging genetic diversity using a similarity matrix based on Mendelian sampling. World Congress on Genetics Applied to Livestock Production (WCGALP), 220.
Palma Vera, S. E.; Reyer, H.; Langhammer, M.; Reinsch, N.; Derezanin, L.; Fickel, J.; Qanbari, S.; Weitzel, J. M.; Franzenburg, S.; Hemmrich-Stanisak, G.; Schoen, J. (2022):
Author Correction: Genomic characterization of the world’s longest selection experiment in mouse reveals the complexity of polygenic traits. BMC BIOL 20: 238, 1-2
Honerlagen, H.; Reyer, H.; Oster, M.; Ponsuksili, S.; Trakooljul, N.; Kuhla, B.; Reinsch, N.; Wimmers, K. (2021):
Identification of Genomic Regions Influencing N-Metabolism and N-Excretion in Lactating Holstein- Friesians. Front Genet 12: 699550, 1-12
https://doi.org/10.3389/fgene.2021.699550
Jahnel, R. E.; Wittenburg, D.; Mayer, M.; Täubert, H.; Reinsch, N. (2021):
DGFZ Preis 2020 (Masterarbeiten) Estimation of genetic parameters of milk urea content. Zuchtungskunde 93 (2): 157-168
https://www.zuechtungskunde.de/artikel.dll?AID=6830737&MID=69142
Reinsch, N.; Musa, A. (2021):
Neue Kriterien für die genomische Selektion
Gewidmet Herrn Prof. Dr. Dr. h.c. mult. Ernst Kalm zum 80. Geburtstag. Zuchtungskunde 93 (3): 201-209
https://www.zuechtungskunde.de/Archiv/Neue-Kriterien-fuer-die-genomische-Selektion,QUlEPTY4OTIwMjUmTUlEPTY5MTU4.html
Mbuthia, J. M.; Mayer, M.; Reinsch, N. (2021):
Modeling heat stress effects on dairy cattle milk production in a tropical environment using test-day records and random regression models. Animal 15 (8): 1-10
https://doi.org/10.1016/j.animal.2021.100222
Langhammer, M.; Wytrwat, E.; Michaelis, M.; Schön, J.; Tuchscherer, A.; Reinsch, N.; Weitzel, J. M. (2021):
Two mouse lines selected for large litter size display different lifetime fecundities. Reproduction 161: 721-730
https://doi.org/10.1530/REP-20-0563
Reinsch, N.; Mayer, M.; Blunk, I. (2021):
Generalized gametic relationships for flexible analyses of parent-of-origin effects. G3-Genes Genom Genet 11 (8 ): jkab064, 1-15
https://doi.org/10.1093/g3journal/jkab064
Blunk, I.; Thomsen, H.; Reinsch, N.; Mayer, M.; Försti, A.; Sundquist, J.; Sundquist, K.; Hemminki, K. (2020):
Genomic imprinting analyses identify maternal effects as a cause of phenotypic variability in type 1 diabetes and rheumatoid arthritis. Sci Rep-UK 10 (11562): 1-15
https://doi.org/10.1038/s41598-020-68212-x
Meng, J.; Mayer, M.; Wytrwat, E.; Langhammer, M.; Reinsch, N. (2019):
Turning observed founder alleles into expected relationships in an intercross population. G3-Genes Genom Genet 9 (3): 889-899
https://doi.org/10.1534/g3.118.200752
Blunk, I.; Mayer, M.; Hamann, H.; Reinsch, N. (2019):
Scanning the genomes of parents for imprinted loci acting in their un-genotyped progeny. Sci Rep-UK 9: 654, 1-17
https://doi.org/10.1038/s41598-018-36939-3
Michaelis, M.; Sobczak, A.; Koczan, D.; Langhammer, M.; Reinsch, N.; Schön, J.; Weitzel, J. M. (2018):
Testicular transcriptional signatures associated with high fertility. Reproduction 155 (2): 219-231
https://doi.org/10.1530/REP-17-0392