Wiese, M.; Gärtner, S.; von Essen, N.; Doller, J.; Frost, F.; Tran, T.; Weiss, F. U.; Meyer, F.; Valentini, L.; Garbe, L.; Metges, C. C.; Bannert, K.; Sautter, L.; Ehlers, L.; Jaster, R.; Lamprecht, G.; Steveling, A.; Lerch, M.; Aghdassi, A. (2022):
Malnutrition Is Highly Prevalent in Patients With Chronic Pancreatitis and Characterized by Loss of Skeletal Muscle Mass but Absence of Impaired Physical Function. FRONT NUTR 9: 889489, 1-12
https://doi.org/10.3389/fnut.2022.889489
Schulze Holthausen, J.; Schregel, J.; Sciascia, Q. L.; Li, Z.; Tuchscherer, A.; Vahjen, W.; Metges, C. C.; Zentek, J. (2022):
Effects of Oral Glutamine Supplementation, Birthweight and Age on Colonic Morphology and Microbiome Development in Male Suckling Piglets. Microorganisms 10 (10): 1889, 1-20
https://doi.org/10.3390/microorganisms10101899
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
Li, Z.; Sciascia, Q. L.; Görs, S.; Nguyen, N.; Rayatdoost Baghal, F.; Schregel, J.; Tuchscherer, A.; Zentek, J.; Metges, C. C. (2022):
Glutamine supplementation moderately affects growth, plasma metabolite and free amino acid patterns in neonatal low birth weight piglet. Brit J Nutr 128 (12): 2330-2340
https://doi.org/10.1017/S0007114522000459
Prahl, M.; Müller, C. B. M.; Albrecht, D.; Koch, F.; Wimmers, K.; Kuhla, B. (2022):
Hepatic urea, creatinine and uric acid metabolism in dairy cows with divergent milk urea concentrations. Sci Rep-UK 12: 17593, 1-14
https://doi.org/10.1038/s41598-022-22536-y
Seyedalmossavi, S. M.; Mielenz, M.; Görs, S.; Wolf, P.; Das, G.; Metges, C. C. (2022):
Effects of increasing levels of whole Black Soldier Fly (Hermetia illucens) larvae in broiler rations on acceptance, nutrient and energy intakes and utilization, and growth performance of broilers. Poultry Sci 101 (12): 102202, 1-15
https://doi.org/10.1016/j.psj.2022.102202
Ghaffari, M. H.; Monneret, A.; Hammon, H. M.; Post, W.; Müller, U.; Frieten, D.; Gerbert, C.; Dusel, G.; Koch, C. (2022):
Deep convolutional neural networks for the detection of diarrhea and respiratory disease in pre-weaned dairy calves using data from automated milk feeders. J Dairy Sci 105 (12): 9882-9895
https://doi.org/10.3168/jds.2021-21547
Becker, D.; Heimes, A.; Hadlich, F.; Hammon, H. M.; Meyerholz, M. M.; Petzl, W.; Zerbe, H.; Schuberth, H.-J.; Hoedemaker, M.; Schmicke, M.; Engelmann, S.; Kühn, C. (2022):
Allele-biased expression of the bovine APOB gene associated with the Cholesterol Deficiency defect suggests cis-regulatory enhancer effects of the LTR retrotransposon insertion. Sci Rep-UK 12: 13469, 1-14
https://doi.org/10.1038/s41598-022-17798-5
Veshkini, A.; Hammon, H. M.; Vogel, L.; Viala, D.; Delosière, M.; Tröscher, A.; Déjean, S; Ceciliani, F.; Sauerwein, H.; Bonnet, M. (2022):
Plasma proteomics reveals crosstalk between lipid metabolism and immunity in dairy cows receiving essential fatty acids and conjugated linoleic acid. Sci Rep-UK 12: 5648, 1-12
https://doi.org/10.1038/s41598-022-09437-w
Veshkini, A.; Hammon, H. M.; Lazzari, B.; Vogel, L.; Gnott, M.; Tröscher, A.; Vendramin, V.; Sadri, H.; Sauerwein, H.; Ceciliani, F. (2022):
Investigating circulating miRNA in transition dairy cows: What miRNAomics tells about metabolic adaptation. Front Genet 13: 946211, 1-20
https://doi.org/10.3389/fgene.2022.946211
Riosa, R.; Ghaffari, M. H.; Hammon, H. M.; Süß, R.; Hoelker, M; Drillich, M.; Parys, C.; Guyader, J.; Sauerwein, H.; Iwersen, M. (2022):
Identification and characterization of dairy cows with different backfat thickness antepartum in relation to BFT loss post partum: A cluster analytic approach. J Dairy Sci 105 (7): 6327-6338
https://doi.org/10.3168/jds.2021-21434
Liermann, W.; Wissing, K. L.; Reyer, H.; Trakooljul, N.; Dannenberger, D.; Tröscher, A.; Hammon, H. M. (2022):
Maternal Conjugated Linoleic Acid Supply in Combination With or Without Essential Fatty Acids During Late Pregnancy and Early Lactation: Investigations on Physico-Chemical Characteristics of the Jejunal Content and Jejunal Microbiota in Neonatal Calves. Front Vet Sci 9: 839860, 1-9
https://doi.org/10.3389/fvets.2022.839860
Ali, A.; Jacinto, J.; Münchmyer, W.; Walte, A.; Kuhla, B.; Gentile, A.; Abdu, M.; Kamel, M.; Ghallab, A. (2022):
Study on the Discrimination of Possible Error Sources That Might Affect the Quality of Volatile Organic Compounds Signature in Dairy Cattle Using an Electronic Nose. VET SCI 9 (9): 461, 1-11
https://doi.org/10.3390/vetsci9090461
Bougouin, A.; Hristov, A. N.; Dijkstra, J.; Aguerre, M.; Ahvenjärvi, S.; Arndt, C.; Bannink, A.; Bayat, A. R.; Benchaar, C.; Boland, T.; Brown, J.; Crompton, L.; Dehareng, F.; Dufrasne, I.; Eugène, M.; Froidmont, E.; van Gastelen, S.; Garnsworthy, P.; Halmemies-Beauchet-Filleau, A.; Herremans, S.; Huhtanen, P.; Johansen, M.; Kidane, A.; Kreuzer, M.; Kuhla, B.; Lissire, F.; Lund, P.; Minnée, E.; Muñoz, C.; Niu, M.; Noziére, P.; Pacheco, D.; Prestløkken, E.; Reynolds, C.; Schwarm, A.; Spek, J.; Terraanova, M.; Vanhatalo, A.; Wattiaux, M.; Weisbjerg, M.; Yáñez-Ruiz, D.; Yu, Z.; Kebreab, E. (2022):
Prediction of nitrogen excretion from data on dairy cows fed a wide range of diets compiled in an intercontinental database: A meta-analysis. J Dairy Sci 105 (9): 7462-7481
https://doi.org/10.3168/jds.2021-20885
Kuhla, B.; Viereck, G. (2022):
Enteric methane emission factors, total emissions and intensities from Germany's livestock in the late 19th century: A comparison with the today's emission rates and intensities. Sci Total Environ 848: 157754, 1-8
https://doi.org/10.1016/j.scitotenv.2022.157754
Kuhla, B.; Dewhurst, R.; Dijkstra, J.; Ferguson, H.; Humphries, D.; Kennedy, E.; Lund, P.; Martin, C.; Munksgaard, L.; O`Donovan, M.; Reynolds, C.; Terré, M.; Veissier, I.; Baumont, R. (2022):
Opinion paper: How can we achieve standards and common guidelines for experimental studies with cattle?. Animal 16 (7): 100563, 1-3
https://doi.org/10.1016/j.animal.2022.100563
Negussie, E.; Gonzalez-Recio, O.; Battagin, M.; Bayat, A. R.; Boland, T.; de Haas, Y.; Garcia-Rodriguez, A.; Garnsworthy, P.; Gengler, N.; Kreuzer, M.; Kuhla, B.; Lassen, J.; Peiren, N.; Pszczola, M; Schwarm, A.; Soyeurt, H.; Vanlierde, A.; Yan, T; Biscarini, F. (2022):
Integrating heterogeneous across-country data for proxy-based random forest prediction of enteric methane in dairy cattle. J Dairy Sci 105 (6): 5124-5140
https://doi.org/10.3168/jds.2021-20158
Kuhla, B.; van Ackern, I. (2022):
Effects of intracerebroventricular anandamide administration on feed intake and milk yield of dairy cows. JDS Communications 3 (2): 138-141
https://doi.org/10.3168/jdsc.2021-0185
Naseroleslami, R.; Danesh Mesgaran, M.; Tahmasbi, A.; Vakili, A.; Danesh Mesgaran, S. (2022):
Diets containing processed barley grain as a potential rumen bypass starch source enhance productive responses of lactating Holstein dairy cows. J Anim Physiol An N 106 (3): 506-516
https://doi.org/10.1111/jpn.13635