Oleic acid variation and marker-assisted detection of Pervenets mutation in high- and low-oleic sunflower cross

High-oleic sunflower oil is in high demand on the market due to its heart-healthy properties and richness in monounsaturated fatty acids that makes it more stable in processing than standard sunflower oil. Consequently, one of sunflower breeder's tasks is to develop stable high-oleic sunflower genotypes that will produce high quality oil. We analyzed variability and inheritance of oleic acid content (OAC) in sunflower, developed at the Institute of Field and Vegetable Crops, by analyzing F-1 and F-2 progeny obtained by crossing a standard linoleic and high-oleic inbred line. F-2 individuals were classified in two groups: low-oleic with OAC of 15.24-31.28% and high-oleic with OAC of 62.49-93.82%. Monogenic dominant inheritance was observed. Additionally, several molecular markers were tested for the use in marker-assisted selection in order to shorten the period of detecting high-oleic genotypes. Marker F4-R1 was proven to be the most efficient in detection of genotypes with Pervenets (high-oleic acid) mutation

Grape Transcriptomics and Viticulture

A major goal of viticulture is to exert control over ripening and produce fruit of reproducible yield and quality. This implies developing effective viticultural practices, breeding cultivars with improved characteristics, and requires considering the numerous variables that can influence development and ripening, like cultivar-specific traits, regional climate, and stresses. Molecular tools aid these efforts. Among them, transcriptome measurements that capture expression across the genome allow monitoring which genomic features are transcribed given the aforementioned variables. The technologies used to study the transcriptome have rapidly improved and become less expensive since the early 2000s, increasing the feasibility of developing molecular marker-driven practices. This chapter briefly reviews the history and state of transcriptomic technologies since they have been applied to grapevine, reviews the seminal publications that have used these tools, and proposes a direction for this field in the future