GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 Fertility assessment in Vitis vinifera L., cv. Alvarinho

Fertility assessment in Vitis vinifera L., cv. Alvarinho

Abstract

Context and purpose of the study – The Portuguese wine production is characterized by wide yield fluctuations, causing considerable implications in the economic performance of this sector. The possibility of predicting the yield in advance is crucial as it enables preliminary planning and management of the available resources. The present work aims to study and evaluate two different techniques for the assessment of vine fertility.

Material and methods – Based on the fact that the number of inflorescences is established during the first year of the grapevine reproductive cycle and with the aim of evaluating grapevine fertility in cv. Alvarinho, two experimental procedures were performed. First, grapevine bud dissections were made during the dormant stage, in order to count the number of inflorescence primordia and assess the bud fertility potential. At the same time, grapevine canes were collected and placed in a growth chamber. Their development was monitored and, 25 days after, when the inflorescences attained the Separated Flower Buttons stage the fertility of each bud was recorded. In spring, using the same grapevines from where the samples were collected, fertility was assessed in the field and correlation between both was studied. Statistical analysis was performed including logistic and Poisson regression models for dependent data.

Results – Even using high definition observation equipment, the bud dissection technique was highly fallible, not allowing for correct identification of inflorescence primordia. Regarding the second methodology, no statistically significant differences were detected between the fertility observed in the growth chamber and in the field. These findings validate the success of the technique in assessing bud fertility at the pruning stage, 10 months before harvest.

Download the PDF

DOI:

Publication date: March 11, 2024

Issue: GiESCO 2019

Type: Poster

Authors

Anabela CARNEIRO1, Mariana COSTA1, António GRAÇA2, Natacha FONTES2, Rita GAIO3, Jorge QUEIROZ1

1 GreenUPorto, DGAOT, Faculty of Sciences, University of Porto, Campus Agrário Vairão, Rua Padre Armando Quintas 7, 4485-661 Vila do Conde, Portugal
2 SOGRAPE VINHOS, S.A., Rua 5 de outubro 4527, 4430-852 Avintes, Portugal
3 Department of Mathematics, Faculty of Sciences, and CMUP-Centre of Mathematics, University of Porto, Rua do Campo Alegre, 687, 4169-007 Porto, Portugal

Contact the author

Keywords

Alvarinho, Crop Forecasting, Fertility, Bud, Inflorescence

Tags

GiESCO | GiESCO 2019 | IVES Conference Series

Citation

Related articles…

The exploitation of Croatian grapevine genetic resources for the breeding of new resistant cultivars 

Croatian viticulture is mainly based on native grapevine varieties susceptible to various diseases and pests, which leads to unsustainable use of large amounts of pesticides. The sustainable development of viticulture in the future will only be possible by increasing the resistance of the grapevine through the development of new resistant varieties. Breeding programs have been launched in the leading wine-growing countries to develop resistant varieties possessing high-quality levels. Native cultivars from Croatia are not included in the breeding programs of other countries.

Read More

Exploring high throughput secondary trait phenomics to improve grapevine breeding

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.

Read More

Impact of glutathione-rich inactivated yeast on wine chemical diversity

Glutathione-rich inactivated dry yeasts (GSH-IDY) are claimed to accumulate intracellularly and then release glutathione in the must.

Read More

The effects of perennial cover crop management on soil temperature and vine water status

The implications of perennial cover crop management on vine vigor and yield have been well documented. However, whereas multiple studies show that cover crop management affects grapevine dry matter production, water, and nutrient status, the specific effects of a new hybrid perennial cover crop on soil temperature and its relationship to vine water status in vineyards has not been explored. This study will compare 3 different perennial cover crop combinations and tillage practices with a no-till seeding of a new hybrid perennial, Poa bulbosa (Pb).

Read More

Experiments with the use of stems in Pinot noir winemaking

Vinification trials were carried out between 2018 and 2021 in the experimental winery at Laimburg Research Centre, Alto Adige, to test the effect of grape stem inclusion during fermentation of Pinot Noir.

Read More