| M Wutke, AΟ Schmitt, I Traulsen, und M Gültas |
Investigation of Pig Activity Based on Video Data and Semi-Supervised Neural Networks |
AgriEngineering |
| V Gkarane, M Ciulu, B Altmann, AΟ Schmitt, und D Mörlein |
The effect of algae or insect supplementation as alternative protein sources on the volatile profile of chicken meat |
Foods |
| A Mensching, M Zschiesche, J Hummel, AO Schmitt, C Grelet, und AR Sharifi |
An innovative concept for a multivariate plausibility assessment of simultaneously recorded data |
Animals |
| F Ramzan, M Gültas, H Bertram, D Cavero, und AO Schmitt |
Combining Random Forests and a signal detection method leads to the robust detection of genotype-phenotype associations |
Genes |
| F Ramzan, MS Khan, SA Bhatti, M Gültas, und AO Schmitt |
Survey data to identify the selection criteria used by breeders of four strains of Pakistani Beetal goats |
Data in Brief |
| F Heinrich, M Gültas, W Link, und AO Schmitt |
Genotyping by Sequencing Reads of 20 Vicia faba lines with high and low Vicine and Convicine Content |
Data |
| F Ramzan, MS Khan, SA Bhatti, M Gültas, und AO Schmitt |
Breeding objectives and selection criteria for four strains of Pakistani Beetal goats identified in a participatory approach |
Small Ruminant Research |
| F Heinrich, M Wutke, PP Das, M Kamp, M Gültas, und AO Schmitt |
Identification of Regulatory SNPs Associated with Vicine and Convicine Content of Vicia faba Based on Genotyping by Sequencing Data Using Deep Learning |
Genes |
| A Rajavel, F Heinrich, AO Schmitt, und M Gültas |
Identifying Cattle Breed-Specific Partner Choice of Transcription Factors during the African Trypanosomiasis Disease Progression Using Bioinformatics Analysis |
Vaccines |
| R Daou, T Beißbarth, E Wingender, M Gültas, und M Haubrock |
Constructing temporal regulatory cascades in the context of development and cell differentiation |
PloS one |
| F Ramzan, S Klees, AO Schmitt, D Cavero, und M Gültas |
Identification of Age-Specific and Common Key Regulatory Mechanisms Governing Eggshell Strength in Chicken Using Random Forests |
Genes |
| M Pfeifer, AO Schmitt, und EF Hessel |
Animal Welfare Assessment of Fattening Pigs: A Case Study on Sample Validity |
Animals |
| M Pfeifer, A Koch, C Lensches, AO Schmitt, und EF Hessel |
Acceptance and Feasibility of a Guideline for the Animal Welfare Assessment of Fattening Pigs from Farmers’ Point of View |
Animals |
| S Meseret, YA Mekonnen, B Brenig, E Schütz, O Hanotte, M Gültas, und AO Schmitt |
Genetic diversity and population structure of six ethiopian cattle breeds from different geographical regions using high density single nucleotide polymorphisms |
Livestock Science |
| M Wutke, M Gültas, I Traulsen, und AO Schmitt |
Automatische Unterscheidung von Verhaltensmustern bei Schweinen auf der Basis von Anomalieerkennung durch ein neuronales Konvolutionsnetzwerk |
40. GIL-Jahrestagung, Digitalisierung für Mensch, Umwelt und Tier |
| TM Lange, F Heinrich, M Enders, M Wolf, und AO Schmitt. |
In silico quality assessment of snps—a case study on the axiom® wheat genotyping arrays |
Current Plant Biology |
| A Mensching, K Bünemann, U Meyer, D von Soosten, J Hummel, AO Schmitt, AR Sharifi, und S Dänicke |
Modeling reticular and ventral ruminal pH of lactating dairy cows using ingestion and rumination behavior |
Journal of Dairy Science |
