Transcriptomic profiles accurately predict the dormancy stages in sweet cherry flower buds

Bénédicte Wenden (1) , Noémie Vimont (1, 2) , Mathieu Fouche (1) , José Antonio Campoy (1) , Meixuezi Tong (3) , Mustapha Arkoun (2) , Jean-Claude Yvin (2) , Philip A Wigge (3) , Elisabeth Dirlewanger (1) , Sandra Cortijo (3)

1 BFP - Biologie du fruit et pathologie
2 Agro Innovation International-Centre Mondial d'Innovation - Groupe Roulier
3 TSL - The Sainsbury Laboratory [Norwich]

Domaines: Biologie végétale; Milieux et Changements globaux

Bénédicte Wenden, Noémie Vimont, Mathieu Fouche, José Antonio Campoy, Meixuezi Tong, et al.. Transcriptomic profiles accurately predict the dormancy stages in sweet cherry flower buds. SEB's Annual meeting, Jul 2019, Sevilla, Spain. ⟨hal-02737891⟩