Investigating possibilities to predict milk phenotypes in Holstein Friesian cows based on a more complex model of the genotype-phenotype map
Melzer, Nina
1982-
aut
text
theses
Text
Hochschulschrift
gw
2013
monographic
XA-DE
2013
eng
text/html
application/pdf
Online-Ressource Ill., graph. Darst.
The prediction of genetic values based on genomic and phenotypic information plays an important role in dairy cattle breeding. This thesis investigates if an improved prediction can be obtained when in addition the metabolome is considered. Data for the three system-levels were (a) simulated using a systems biology approach and (b) experimentally collected (~1300 cows). An integrative bioinformatics approach for data analysis was developed. Concluding, the metabolome provides a deeper insight into the relationships between different levels, whose exploitation can lead to improved prediction.
vorgelegt von Nina Melzer
Rostock, Univ., Fak. für Informatik und Elektrotechnik, Diss., 2014
636.234
630
WD 9200
WC 7700
42.11
http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0195-4
http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0195-4&pdf
http://nbn-resolving.de/urn:nbn:de:gbv:28-diss2014-0195-4
Investigating possibilities to predict milk phenotypes in Holstein Friesian cows based on a more complex model of the genotype-phenotype map
2013
Druck-Ausgabe
(DE-627)805435182
Melzer, Nina, 1982 -
urn:nbn:de:gbv:28-diss2014-0195-4
935787403
rakwb
DE-627
150112
815216483
20251224T194724.0
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