Genetik und Biometrie – Publikationen


Langbein, J.; Borbala, F.; Krause, A.; Maudanz, H.; Melzer, N. (2022):
Different approaches to study emotions and social interactions of farm animals for a deeper understanding of animal welfare. In: Volume 2 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods (Andrew Spink, Jarosław Barski, Anne-Marie Brouwer, Gernot Riedel, Annesha Sil, Hrsg.) (978-90-74821-94-0): 263-266
Piepho, H.P.; Gabriel, D.; Hartung, J.; Büchse, A.; Grosse, M.; Kurz, S.; Laidig, F.; Michel, V.; Proctor, I.; Sedlmeier, J.E.; Toppel, K.; Wittenburg, D. (2022):
One, two, three: portable sample size in agricultural research [epublished ahead of print]. J AGR SCI-CAMBRIDGE
https://doi.org/10.1017/S0021859622000466
Schregel, J.; Schulze Holthausen, J.; Sciascia, Q. L.; Li, Z.; Görs, S.; Eggert, A.; Tuchscherer, A.; Zentek, J.; Metges, C. C. (2022):
Effects of oral glutamine supplementation on jejunal morphology, development, and amino acid profiles in male low birth weight suckling piglets. Plos One 17 (4): e0267357, 1-24
https://doi.org/10.1371/journal.pone.0267357
Finkemeier, M.; Krause, A.; Tuchscherer, A.; Puppe, B.; Langbein, J. (2022):
Personality traits affect learning performance in dwarf goats (Capra hircus). Front Vet Sci 9: 916459, 1-13
https://doi.org/10.3389/fvets.2022.916459
Gimsa, U.; Brückmann, R.; Tuchscherer, A.; Tuchscherer, M.; Kanitz, E. (2022):
Early-life maternal deprivation affects the mother-offspring relationship in domestic pigs, as well as the neuroendocrine development and coping behavior of piglets. Front Behav Neurosci 16: 980350, 1-18
https://doi.org/10.3389/fnbeh.2022.980350
Revskij, D.; Haubold, S. S.; Plinski, C.; Viergutz, T.; Tuchscherer, A.; Kröger-Koch, C.; Albrecht, E.; Günther, J.; Tröscher, A.; Hammon, H. M.; Schuberth, H.-J.; Mielenz, M. (2022):
Cellular detection of the chemokine receptor CXCR4 in bovine mammary glands and its distribution and regulation on bovine leukocytes. J Dairy Sci 105 (1): 866-876
https://doi.org/10.3168/jds.2021-20799
Maier, G.; Delezie, J.; Westermark, P. O.; Santos, G.; Ritz, D.; Handschin, C. (2022):
Transcriptomic, proteomic and phosphoproteomic underpinnings of daily exercise performance and zeitgeber activity of training in mouse muscle. J Physiol-London 600 (4): 769-796
https://doi.org/10.1113/JP281535
de los Rios Pérez, L.; Druet, T.; Goldammer, T.; Wittenburg, D. (2022):
Analysis of autozygosity using whole-genome sequence data of full-sib families in pikeperch (Sander lucioperca). Front Genet 12: 786934, 1-9
https://doi.org/10.3389/fgene.2021.786934
Otten, W.; Heimbürge, S.; Tuchscherer, A.; Kanitz, E. (2022):
The age of hair matters – the incorporation of cortisol by external contamination is enhanced in distal hair segments of pigs and cattle. Animal 16 (4): 100495, 1-6
https://doi.org/10.1016/j.animal.2022.100495
Calanni Pileri, M.; Weitzel, J. M.; Langhammer, M.; Wytrwat, E.; Michaelis, M. (2022):
Altered insulin, leptin and ghrelin hormone levels and atypical estrous cycle lengths in two highly fertile mouse lines. Reprod Domest Anim 57 (6): 577-586
https://doi.org/10.1111/rda.14097
Ludwig, C.; Bohleber, S.; Rebl, A.; Wirth, E.; Venuto, M. T.; Langhammer, M.; Schweizer, U.; Weitzel, J. M.; Michaelis, M. (2022):
Endocrine and molecular factors of increased female reproductive performance in the Dummerstorf high-fertility mouse line FL1. J Mol Endocrinol 69 (1): 285-298
https://doi.org/10.1530/JME-22-0012
Klosa, J.; Simon, N.; Liebscher, V.; Wittenburg, D. (2022):
A fitted sparse-group lasso for genome-based evaluations [epublished ahead of print]. IEEE ACM T COMPUT BI
https://doi.org/10.1109/TCBB.2022.3156805
Müller-Eigner, A.; Sanz-moreno, A.; de Diego, I.; Venkateswaran Venkatasubramani, A.; Langhammer, M.; Gerlini, R.; Rathkolb, B.; Aguilar-Pimentel, A.; Klein-Rodewald, T.; Calzada-Wack, J.; Becker, L.; Palma Vera, S.; Gille, B.; Forne, I.; Imhof, A.; Meng, C.; Ludwig, A.; Koch, F.; Heiker, J.; Kuhla, A.; Caton, V.; Brenmoehl, J.; Reyer, H.; Schön, J.; Fuchs, B.; Gailus-Durner, V.; Hoeflich, A.; Hrabe de Angelis, M.; Peleg, S. (2022):
Dietary intervention improves health metrics and life expectancy of the genetically obese Titan mouse. COMMUN BIOL 5: 408, 1-17
https://doi.org/10.1038/s42003-022-03339-3
Qanbari, S.; Schnabel, R. D.; Wittenburg, D. (2022):
Evidence of Rare Misassemblies in the Bovine Reference Genome Revealed by Population Genetic Metrics. Anim Genet 53 (4): 498-505
https://doi.org/10.1111/age.13205
Palma Vera, S.; 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
https://doi.org/10.1186/s12915-022-01248-9
Calanni Pileri, M.; Weitzel, J. M.; Langhammer, M.; Michaelis, M. (2022):
Higher quality rather than superior quantity of oocytes determine the amount of fertilizable oocytes in two outbred Dummerstorf high-fertility mouse lines. Reprod Domest Anim 57 (10): 1198-1207
https://doi.org/10.1111/rda.14194
Teuscher, F. (2022):
The quantification of Simpon´s paradox and other contributions to contingency table theory. Plos One 17 (2): e0262502, 1-32
https://doi.org/10.1371/journal.pone.0262502
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
https://doi.org/10.1016/j.agrformet.2022.108923
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
https://doi.org/10.3389/fanim.2022.946592
Dannenberger, D.; Eggert, A.; Kalbe, C.; Woitalla, A.; Schwudke, D. (2022):
Are n-3 PUFAs from microalgae incorporated into membrnae and storage lipids in pig muscle tissue? - A lipidomic approach . ACS Omega 7 (28): 24785-24794
https://doi.org/10.1021/acsomega.2c02476