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  • 1.
    Danielsson-Tham, Marie-Louise
    et al.
    Örebro University, School of Hospitality, Culinary Arts & Meal Science.
    Tham, WilhelmÖrebro University, School of Hospitality, Culinary Arts & Meal Science.
    Nordic PFGE meeting January 27–28, 2000, Uppsala, Sweden2000Conference proceedings (editor) (Refereed)
  • 2.
    Krappmann, K
    et al.
    Research Unit Molecular Biology, Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany .
    Wurmser, C
    Chair of Animal Breeding, Technische Universität München, Freising, Germany.
    Repsilber, Dirk
    Research Unit Genetics and Biometry, Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Fries, R
    Chair of Animal Breeding, Technische Universität München, Freising, Germany.
    Weikard, R
    Research Unit Molecular Biology, Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Kesting, U
    Landeskontrollverband für Leistungs- und Qualitätsprüfung Mecklenburg-Vorpommern, Güstrow, Germany.
    Kühn, Christa
    Research Unit Molecular Biology, Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Short communication: evaluation of bovine milk residues from routine milk testing programs as DNA source for genotyping2012In: Journal of Dairy Science, ISSN 0022-0302, E-ISSN 1525-3198, Vol. 95, no 9, p. 5436-41Article in journal (Refereed)
    Abstract [en]

    Genome-wide association studies and genomic evaluation using a dense set of genetic markers both require a large number of genotyped individuals. Collection of the respective samples contributes substantially to the cost of the approach. In dairy cattle research, the use of residues from routine milk recording would be a cost-saving alternative to obtain samples for an appropriate number of individuals with specific phenotypes in a very short time. To assess the suitability of milk recording residues, we concurrently investigated milk residues obtained after standardized milk recording procedures and blood samples from 115 cows originating from 3 farms with different milking systems by genotyping 15 microsatellite markers. We found that 4% of the milk samples were possibly assigned to the wrong animal (i.e., conflicts) and that at least 27% of the milk residues were contaminated, as indicated by an extra allele not present in the blood sample. These additional alleles primarily originated from a sample with a higher somatic cell score that went through the milk sample analyzer in the milk laboratory before the target sample. Furthermore, additional allele carryover was observed across more than one sample, when the difference in somatic cell count between samples exceeded 100,000 cells/mL. Finally, in several samples, the extra allele could not be traced back to previous samples passing through the milk sample analyzer. One source of those contaminations might be sample collection on-farm due to milk traces from the previously milked cow in the hose. No correlation was found between the farm management and conflicts or contaminations. We conclude that residues from routine milk recording are not suitable for genomic evaluation or genome-wide association studies because of the high prevalence of contamination generated at several steps during the collection and processing of milk residual samples.

  • 3.
    Melzer, Nina
    et al.
    FBN Dummerstorf, Dummerstorf, Germany.
    Jakubowski, S
    LKV, Güstrow, Germany.
    Hartwig, S
    LKV, Güstrow, Germany.
    Kesting, U
    LKV, Güstrow, Germany.
    Wolf, S
    LKV, Güstrow, Germany.
    Nürnberg, Gerd
    FBN Dummerstorf, Dummerstorf, Germany.
    Reinsch, Norbert
    FBN Dummerstorf, Dummerstorf, Germany.
    Repsilber, Dirk
    FBN Dummerstorf, Dummerstorf, Germany.
    Design, infrastructure and database structure for a study on predicting milk phenotypes from genome-wide SNP markers and metabolite profiles2010In: Proceedings of the 9th World Congress on Genetics Applied to Livestock Production, German Society for Animal Science , 2010, p. 427-431Conference paper (Refereed)
  • 4.
    Melzer, Nina
    et al.
    Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Wittenburg, Dörte
    Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Repsilber, Dirk
    Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Including metabolomic profiles to improve genetic value prediction: an integrated bioinformatics approach using weighted genome-wide marker information2011In: 12th Day of the Doctoal Student: abstracts; 19 May 2011, Dummerstorf / [ed] Seyfert, H.-M., Viereck, G., Dummerstorf, Germany: FBN , 2011, p. 55-58Conference paper (Refereed)
  • 5.
    Melzer, Nina
    et al.
    Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Wittenburg, Dörte
    Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Repsilber, Dirk
    Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Metabolites as new molecular traits and their role for genetic evaluation of traditional milk traits2012In: Book of Abstracts of the 63rd Annual Meeting of the European Federation of Animal Science: Bratislava, Slovakia, 27 - 31 August 2012, Wageningen: Wageningen Academic Publishers , 2012, p. 88-88Conference paper (Refereed)
  • 6.
    Melzer, Nina
    et al.
    Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany..
    Wittenburg, Dörte
    Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Repsilber, Dirk
    Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.
    Simulating SNP data: influence of simulation design on the extent of linkage disequilibrium2010In: 11th Day of the Doctoral Student: abstracts; 19 May 2010, Dummerstorf / [ed] Seyfert, H.-M., Viereck, G., Dummerstorf, Germany: FBN , 2010, p. 19-22Conference paper (Refereed)
  • 7.
    Rozpadek, Piotr
    et al.
    Institute of Environmental Sciences, Jagiellonian University, Kraków, Poland; Institute of Plant Physiology, Polish Academy of Sciences, Kraków, Poland.
    Rapala-Kozik, Maria
    Department of Comparative Biochemistry and Bioanalytics, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Kraków, Poland.
    Wezowicz, Katarzyna
    Institute of Environmental Sciences, Jagiellonian University, Kraków, Poland.
    Grandin, Anna
    Örebro University, School of Science and Technology.
    Karlsson, Stefan
    Örebro University, School of Science and Technology.
    Wazny, Rafal
    Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
    Anielska, Teresa
    Institute of Environmental Sciences, Jagiellonian University, Kraków, Poland.
    Turnau, Katarzyna
    Institute of Environmental Sciences, Jagiellonian University, Kraków, Poland; Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
    Arbuscular mycorrhiza improves yield and nutritional properties of onion (Allium cepa)2016In: Plant physiology and biochemistry (Paris), ISSN 0981-9428, E-ISSN 1873-2690, Vol. 107, p. 264-272Article in journal (Refereed)
    Abstract [en]

    Improving the nutritional value of commonly cultivated crops is one of the most pending problems for modern agriculture. In natural environments plants associate with a multitude of fungal microorganisms that improve plant fitness. The best described group are arbuscular mycorrhizal fungi (AMF). These fungi have been previously shown to improve the quality and yield of several common crops. In this study we tested the potential utilization of Rhizophagus irregularis in accelerating growth and increasing the content of important dietary phytochemicals in onion (Allium cepa). Our results clearly indicate that biomass production, the abundance of vitamin B1 and its analogs and organic acid concentration can be improved by inoculating the plant with AM fungi. We have shown that improved growth is accompanied with up-regulated electron transport in PSII and antioxidant enzyme activity.

  • 8.
    Wittenburg, Dörte
    et al.
    Genetics and Biometry, Leibniz Institute for Farm Animal Biology, Dummersdorf, Germany.
    Melzer, Nina
    Genetics and Biometry, Leibniz Institute for Farm Animal Biology, Dummersdorf, Germany.
    Reinsch, Norbert
    Genetics and Biometry, Leibniz Institute for Farm Animal Biology, Dummersdorf, Germany.
    Repsilber, Dirk
    Genetics and Biometry, Leibniz Institute for Farm Animal Biology, Dummersdorf, Germany.
    Milk metabolites and their genetic variability2012In: Book of Abstracts of the 63rd Annual Meeting of the European Federation of Animal Science: Bratislava, Slovakia, 27 - 31 August 2012, Wageningen: Wageningen Academic Publishers, 2012, p. 94-94Conference paper (Refereed)
1 - 8 of 8
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