terclim by ICS banner
IVES 9 IVES Conference Series 9 Characterization of bunch compactness and identification of associated genes in a diverse collection of cultivars of Vitis vinifera L.

Characterization of bunch compactness and identification of associated genes in a diverse collection of cultivars of Vitis vinifera L.

Abstract

Compactness is a complex trait of V. vinifera L. and is defined ultimately by the portion of free space within the bunch which is not occupied by the berries. A high degree of compactness results in poor ventilation and consequently a higher susceptibility to fungal diseases, diminishing the quality of the fruit. The easiness to conceptualize the trait and its importance arguably contrasts with the difficulty to measure and quantify it. However, recent technical advancements have allowed to study this attribute more accurately over the last decade. Our main objective was to explore the underlying genetics determining bunch compactness by applying updated phenotyping methods in a collection of V. vinifera L. cultivars with a wide genetic diversity.
A collection of 116 genotypes composed by 24 wine, 56 table and 26 mixed usage varieties was characterized over two seasons measuring several traits determining Compactness Indexes (CI), as proposed in literature. CI-18 performed the best on this collection and genotypes with extreme values with loose and dense bunches were further studied (n = 10 each group). RNA of these samples was collected at key developmental stages to study the expression of VvUCC1, VvGRF4 and other genes associated to this trait. We also evaluated the performance of automated phenotyping for this wide collection of varieties by applying precision phenotyping through 3D scan and point cloud library-based methods. Combining this data with 127,631 informative SNPs identified by genotyping-by-sequencing could lead to identify further loci associated with this attribute through GWAS.

Download the abstract

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Marco Meneses1, Renato Fuentes1, Ignacia Fuentes1, Claudia Muñoz-Espinoza2, Carolina Araya1, Juan Iribarra1, Erika Salazar1, Claudio Meneses3, Katja Herzog4, Patricio Hinrichsen1*

1 Instituto de Investigaciones Agropecuarias, INIA La Platina. Santiago, Chile.
2 Agronomy Faculty, Universidad de Concepción. Chillán, Chile.
3 Agronomy Faculty, P. Universidad Católica de Chile. Santiago, Chile.
4 Julius Kühn-Institut. Institute for Grapevine Breeding. Geilweilerhof, Germany.

Contact the author*

Keywords

Bunch compactness, qPCR, GBS, automated phenotyping

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Agrivoltaic: chances preparing Riesling towards a better climate resilience

Agrivoltaics (AV), the innovative dual-use of land for agriculture and photovoltaic energy production on the same land, offers a promising solution to the challenges of expanding renewable energy without compromising valuable agricultural land.

Read More

The effect of terroir zoning on pomological, chemical and aromatic composition of Muscat d’Alexandrie grapevine variety cultivated in Tunisia

La composition du raisin de la variété Muscat d’Alexandrie a été étudiée dans trois terroirs différents au Nord-Est de la Tunisie (RafRaf, Baddar et Kelibia).
Des échantillons de raisins ont été récoltés à maturité industrielle durant les saisons 2001 et 2002 dans les trois régions citées. Les paramètres pomologiques (poids moyen de la grappe et de la baie) et physico-chimiques

Read More

Diversity of leaf functioning under water deficit in a large grapevine panel: high throughput phenotyping and genetic analyses

Water resource is a major limiting factor impacted by climate change that threatens grapevine production and quality. Understanding the ecophysiological mechanisms involved in the response to water deficit is crucial to select new varieties more drought tolerant. A major bottleneck that hampers such advances is the lack of methods for measuring fine functioning traits on thousands of plants as required for genetic analyses. This study aimed at investigating how water deficit affects the trade-off between carbon gains and water losses in a large panel representative of the Vitis vinifera genetic diversity. 250 genotypes were grown under 3 watering scenarios (well-watered, moderate and severe water deficit) in a high-throughput phenotyping platform.

Read More

Monitoring the establishment of a synthetic microbial community with a potential biocontrol activity against grapevine downy mildew using a microfluidic qPCR chip

Grapevine downy mildew, caused by the oomycete Plasmopara viticola, is responsible for significant economic losses each year and for a large proportion of the fungicides used in viticulture.

Read More

Using the fraction of transpirable soil water to estimate grapevine leaf water potential: comparing the classical statistical regression approach to machine learning algorithms

Weather uncertainty is forcing Mediterranean winegrowers to adopt new irrigation strategies to cope with water scarcity while ensuring a sustainable yield and improved berry and wine quality standards. Therefore, more accurate and high-resolution monitoring of soil water content and vine water status is a major concern. Leaf water potential measured at pre-dawn (PD) is considered to be in equilibrium with soil water potential and is highly correlated with soil water content at the soil depth where roots extract water.

Read More