terclim by ICS banner
IVES 9 IVES Conference Series 9 Dry leaf hyperspectral reflectance predicts leaf elemental composition in grafted hybrids

Dry leaf hyperspectral reflectance predicts leaf elemental composition in grafted hybrids

Abstract

Elemental composition, measured as the concentrations of different elements present in a given tissue at a given time point, is a key indicator of vine health and development. While elemental composition and other high-throughput phenotyping approaches yield tremendous insight into the growth, physiology, and health of vines, costs and labor associated with repeated measures over time can be cost-prohibitive. Recent advances in handheld sensors that measure hyperspectral reflectance patterns of leaf tissue may serve as an affordable proxy for other types of phenotypic data, including elemental composition. Here, we ask if reflectance patterns of dried Chambourcin leaf tissue from an experimental grafting vineyard can predict the known elemental composition of those leaves. Using simple modeling strategies, we show that many elements like potassium and phosphorous can be explained by hyperspectral reflectance patterns (R2 = 0.50 and 0.62, respectively). In a predictive framework, we show that the predicted concentration of macronutrients like potassium correlate with the true, known value (r = 0.68). We additionally show that even some micronutrients such as nickel can be predicted (r = 0.53) from hyperspectral reflectance. This work offers a promising approach to assess nutrient composition in the field. We next plan to test our models on independent vineyards to see if the predictions are reasonable given leaf age and time of season. Future work will continue to refine these models for higher quality prediction of more elements and extend to other forms of high-dimensional phenotypes.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Article

Authors

Zachary Harris1,2*, Danielle Hopkins2,3, Allison Miller2,3

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

Contact the author*

Keywords

elemental composition, hyperspectral reflectance, statistical modelling, high-throughput phenotyping, Chambourcin

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

What do we know about the kerosene/petrol aroma in riesling wines?

1,1,6-Trimethyl-1,2-dihydronaphthalene (TDN) is a controversial aroma component found in Riesling wines. It belongs to the family of C13-norisoprenoids and is mainly associated with kerosene/petrol notes. TDN can add complexity to the wine aroma at medium – low concentrations and deteriorate the wine bouquet when its content is high. No TDN aromas are usually perceived in young Riesling wines, but they can appear after several years of aging due to the gradual formation of TDN. Management of TDN in Riesling wines is an actual task, since global warming can promote formation of this compound and compromise the aromatic composition of wine. Therefore, the aim of the current work was, firstly, to study the sensory particularities of TDN in Riesling wine at various concentrations. Secondly, to investigate the ability of bottle closures to absorb (scalp) TDN from Riesling wine under various storage conditions. These studies also include the comparative assessment of our findings with previously published data. METHODS: sensory analysis, GC-MS (SBSE), HPLC,1H-NMR and other methods related to the synthesis and determination of TDN. RESULTS: First of all, the method of the synthesis of highly purified TDN (95% and 99.5%) was optimized [1].

Proposal for the development of a framework for a globally relevant wine sector climate change adaptation strategy

Climate change is impacting wine production in all parts of the world in highly variable ways that may change the expression of terroir, from rapid loss of viability right through to highly beneficial aspects that increase suitability

Aroma composition of young and aged Lugana and Verdicchio

AIM Verdicchio and Lugana are two Italian white wines produced in the Marche and Garda lake regions respectively. They are however obtained using grape varieties sharing the same genetic background, locally known as Verdicchio in Marche and Trebbiano di Soave in Garda. Anecdotal evidence suggests that these two wine types exhibit distinctive aroma features. The aim of this work was to explore the existence of a recognizable odour profile for Lugana and Verdicchio, and whether specific aroma chemical markers could be identified. METHODS 13 commercial wines, 6 Lugana and 7 Verdicchio were used. Sensory analysis was done using sorting task methodology, assessing only odor similarities. A total of 53 volatile compounds were identified and quantified GC-MS analysis. Aging behaviors were also evaluated after an accelerated aging at 40 ° C for 3 months. RESULTS HCA analysis of sorting task data identified indeed two groups: one characterized by floral and minty notes and mostly associated with Lugana wines, the other characterized by spicy and toasted aromas and mostly associated with Verdicchio. From a chemical point of view, major differences between the two wines types were observed for cis-3-hexenol, methionol, phenylethyl alcohol, and geraniol.

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.

Effect of abiotic stress and grape variety on amino acid and polyamine composition of red grape berries

Vines are exposed to environmental conditions that cause abiotic stress on the plants (drought, nutrient and mineral deficits, salinity, etc.). Polyamines are growth regulators involved in various physiological processes, as in abiotic plant stress responses. Stressful conditions can modify grape’s composition, and in this work, we have focused on studying the effect of abiotic stress on the composition of polyamines and amino acids in grapes. In addition, the effect of grape variety on these compounds has been studied.