Zobrazeno 1 - 6
of 6
pro vyhledávání: '"genomische Vorhersage"'
Autor:
Galán, Rodrigo José
Currently, the combination of a growing bioenergy demand and the need to diversify the dominant cultivation of energy maize opens a highly attractive scenario for alternative biomass crops. Rye (Secale cereale L.) stands out for its vigorous growth a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______611::575d8644b845438896e278eda6e5824f
http://opus.uni-hohenheim.de/volltexte/2021/1973/
http://opus.uni-hohenheim.de/volltexte/2021/1973/
Autor:
Thomas Miedaner, Sebastian Michel, C. Friedrich H. Longin, Hermann Buerstmayr, Jose Moreno-Amores
Publikováno v:
Euphytica. 216
Selection for multiple traits is a highly challenging task for breeders due to potential unfavorable associations between characters. Fusarium head blight FHB, being one of the most relevant diseases affecting durum wheat frequently shows in this res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be798b9a8ef74f8729d0eadfa04826cd
https://doi.org/10.1007/s10681-019-2551-x
https://doi.org/10.1007/s10681-019-2551-x
Autor:
Töpner, Katrin Alexandra
In this thesis, modeling phenotypic structures among multiple traits in plant breeding was refined. The novel approach allowed to determine trait connections on the genomic and residual levels separately instead of jointly on the phenotypic level. Se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::5be486a4816c2880193c011aadbb0684
https://mediatum.ub.tum.de/doc/1452767/document.pdf
https://mediatum.ub.tum.de/doc/1452767/document.pdf
Autor:
Thorwarth, Patrick
Due to the advent of new sequencing technologies and high-throughput phenotyping an almost unlimited amount of data is available. In combination with statistical methods such as Genome-wide association mapping (GWAM) and Genomic prediction (GP), thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______611::bd3407c50a053c904c1e1871efbe0201
http://opus.uni-hohenheim.de/volltexte/2018/1484/
http://opus.uni-hohenheim.de/volltexte/2018/1484/
Autor:
Stange, Michael
Most important agronomic traits like disease resistance or grain yield (GY) in maize show a quantitative trait variation and, therefore, are controlled by dozens to thousands of quantitative trait loci (QTL). Mapping of these QTL is well established
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______611::385e6acc3c62b5ae413e37de97d5086c
http://opus.uni-hohenheim.de/volltexte/2013/901/
http://opus.uni-hohenheim.de/volltexte/2013/901/