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22 p, 1.9 MB Genetic architecture and genomic predictive ability of apple quantitative traits across environments / Jung, Michaela (Institute of Agricultural Sciences (Zurich)) ; Keller, Beat (Institute of Agricultural Sciences (Zurich)) ; Roth, Morgane (Agroscope (Wädenswil)) ; Aranzana, Maria José (Centre de Recerca en Agrigenòmica) ; Auwerkerken, Annemarie (Better3fruit N.V (Belgium)) ; Guerra, Walter (Research Centre Laimburg) ; Al-Rifaï, Mehdi (Université Angers) ; Lewandowski, Mariusz (The National Institute of Horticultural Research (Poland)) ; Sanin, Nadia (Research Centre Laimburg) ; Rymenants, Marijn (Laboratory for Plant Genetics and Crop Improvement (Belgium)) ; Didelot, Frédérique (INRAE. Unité expérimentale Horticole) ; Dujak, Christian (Centre de Recerca en Agrigenòmica) ; Font i Forcada, Carolina (Institut de Recerca i Tecnologia Agroalimentàries) ; Knauf, Andrea (Institute of Agricultural Sciences (Zurich)) ; Laurens, François (Université Angers) ; Studer, Bruno (Institute of Agricultural Sciences (Zurich)) ; Muranty, Hélène (Université Angers) ; Patocchi, Andrea (Agroscope (Wädenswil))
Implementation of genomic tools is desirable to increase the efficiency of apple breeding. Recently, the multi-environment apple reference population (apple REFPOP) proved useful for rediscovering loci, estimating genomic predictive ability, and studying genotype by environment interactions (G × E). [...]
2022 - 10.1093/hr/uhac028
Horticulture research, Vol. 9 (February 2022) , art. uhac028  

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