Genomic responses to increased temperature and pollinator selection in Brassica rapa L.
Summary Rapid environmental change reshapes both abiotic stress and biotic interactions, yet it remains unclear how these combined forces structure plants' genomic adaptation. In particular, the joint influence of temperature and pollinator identity, two ecological axes undergoing simultaneous global shifts, has rarely been quantified at genomic ...
Yanqian Ding, Florian P. Schiestl
wiley +1 more source
Classification of Strawberry Maturity Stages and Varieties Using Neural Networks Based on Volatile Organic Compounds. [PDF]
Huang J +9 more
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Summary Flowering of perennial Arabis alpina is differentially regulated on primary and axillary shoots. Although contributions of vernalization and ageing pathways have been analysed, those of photoperiodic flowering genes CONSTANS (CO), FLOWERING LOCUS T (FT), and TWIN‐SISTER OF FT (TSF) remain unexplored.
Niharika Sashidhar, George Coupland
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A Two-Step Strategy for Aroma Restoration of Strawberry Concentrate Based on ZIF-67@PDMS Composite Membrane. [PDF]
Teng Z +6 more
europepmc +1 more source
Summary B‐box (BBX) proteins were initially characterized as transcription factors connecting light signaling to the regulation of flowering time and seedling photomorphogenesis. However, over the last decade, increasing evidence has shown that they integrate light and hormone signaling, modulating multiple physiological processes during plant life. In
Bruno Silvestre Lira +3 more
wiley +1 more source
Enhancing strawberry salt stress tolerance: morphophysiological responses to different silicon rates and sources. [PDF]
Kashani P +4 more
europepmc +1 more source
Nutrient solution strength affects growth, physiology, biochemistry and fruit quality of Korean strawberry 'Kuemsil' in a recycling hydroponic system. [PDF]
Zebro M +5 more
europepmc +1 more source
Metabolomic and transcriptomic analyses provide insights into metabolic networks during Fragaria nilgerrensis fruit development and ripening. [PDF]
Wang AH +5 more
europepmc +1 more source
Machine learning integrates metabolomics and proteomics to identify key regulators of anthocyanin biosynthesis in edible rose petals. [PDF]
Fu D, Chen J, Liang S, Fu H.
europepmc +1 more source

