terclim by ICS banner
IVES 9 IVES Conference Series 9 Exploring high throughput secondary trait phenomics to improve grapevine breeding

Exploring high throughput secondary trait phenomics to improve grapevine breeding

Abstract

Modern grapevine breeding programs have overcome many challenges using genomic selection, which has allowed breeders to make targeted selections at earlier stages in the breeding process. However, the cost of genetic testing may present a burden for some programs, and markers often struggle to accurately predict quantitative traits. Recent advances in high throughput, high-dimensional data have provoked investigation into the use of high-dimensional phenomics as a low-cost addition to the grape breeder’s toolkit that may offer advantages in predicting quantitative traits. High-dimensional secondary trait (HDST) data has been employed in annual crops for prediction of agriculturally important traits such as yield. To explore the potential of HDST data in grapes, 1618 grapevine seeds and seedlings from six populations were evaluated using hyperspectral and high-dimensional HSV color data.  We show that HDST data are variable within seed populations. To start, we explore correlations of HDST data with early life stage traits, demonstrating potential to develop predictive models. Our work utilizes low-cost, high throughput data which has the potential to supplement genomic selection, allowing breeders to make decisions at the earliest stage in the breeding cycle. This work lays a foundation for the use of HDST data from seeds to predict traits in grapevine.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Danielle Hopkins1*, Matthew Rubin2, Allison Miller1,2

1 Department of Biology, Saint Louis University, St. Louis, MO
2 Donald Danforth Plant Science Center, St. Louis, MO

Contact the author*

Keywords

phenomic selection, high throughput phenotyping, high-dimensional data

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Genetic study of wild grapevines in La Rioja region

Since the mid-1980s, several surveys have been carried out in La Rioja to search for populations of the sylvestris grapevine subspecies (Vitis vinifera L. subsp. sylvestris Gmelin). The banks of the Ebro River and its tributaries (Alhama, Cidacos, Leza, Iregua, Najerilla, Oja and Tirón rivers), as well as the surrounding vegetation of their valleys have been covered. So far, all the populations found are alluvial, forming part of the riparian vegetation of the Najerilla (the first reported population in La Rioja [1]), Iregua, and the vicinity of Oja valleys.

Effect of late pruning on yield and wine composition in monastrell wines

Global warming is shifting vine phenology, resulting in a decoupling of phenolic and technological berry ripening. This is altering the balance of fruit traits, which is key relevance to winegrowers

Cumulative effect (6 years) of deficit irrigation in two important cultivars of Douro region, Portugal

Numerous studies have demonstrated the importance of irrigation in improving the grape yield and quality in areas with arid and semiarid climates, particularly in the context of ongoing climate changes. However, the introduction of irrigation in vineyards of the Mediterranean basin is a matter of debate, in particular in those of the Douro Demarcated Region (DDR), due to the limited number of available studies in this region. The present study aimed to evaluate how different irrigation deficits for 6 years would influence production and must quality in Touriga Francesa (TF) and Touriga Nacional (TN) varieties.

Evolution of oak barrels C-glucosidic ellagitannins in model wine solution

Oak wood has a significant impact on the chemical composition of wine, leading to transformations that influence its organoleptic properties, such as its aroma, structure, astringency, bitterness and color. Among the main extractible non-volatile polyphenol compounds released from oak wood, the ellagitannins are found [1].