Synergistic optimization: Utilizing genomic insights to enhance strategies for joint selective (deep) phenotyping and recursive creation of genomic reference populations. - 2024
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Unpublished conference/Abstract (Scientific congresses and symposiums)
Synergistic optimization: Utilizing genomic insights to enhance strategies for joint selective (deep) phenotyping and recursive creation of genomic reference populations.
Gengler, Nicolas ; Université de Liège - ULiège > Département GxABT > Animal Sciences (AS)
Markey, Alice ; Université de Liège - ULiège > TERRA Research Centre
Lemal, Pauline ; Université de Liège - ULiège > Département GxABT > Animal Sciences (AS)
Wilmot, Hélène ; Université de Liège - ULiège > Département GxABT > Animal Sciences (AS)
Chen, Yansen ; Université de Liège - ULiège > Département GxABT > Animal Sciences (AS)
Schroyen, Martine ; Université de Liège - ULiège > TERRA Research Centre > Animal Sciences (AS)
Language :
English
Title :
Synergistic optimization: Utilizing genomic insights to enhance strategies for joint selective (deep) phenotyping and recursive creation of genomic reference populations.
Publication date :
2024
Event name :
74th European Association for Animal Production (EAAP)
