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…

The rootstock, the neglected player in the scion transpiration even during the night

Water is the main limiting factor for yield in viticulture. Improving drought adaptation in viticulture will be an increasingly important issue under climate change. Genetic variability of water deficit responses in grapevine partly results from the rootstocks, making them an attractive and relevant mean to achieve adaptation without changing the scion genotype. The objective of this work was to characterize the rootstock effect on the diurnal regulation of scion transpiration. A large panel of 55 commercial genotypes were grafted onto Cabernet Sauvignon. Three biological repetitions per genotype were analyzed. Potted plants were phenotyped on a greenhouse balance platform capable of assessing real-time water use and maintaining a targeted water deficit intensity. After a 10 days well-watered baseline period, an increasing water deficit was applied for 10 days, followed by a stable water deficit stress for 7 days. Pruning weight, root and aerial dry weight and transpiration were recorded and the experiment was repeated during two years. Transpiration efficiency (ratio between aerial biomass and transpiration) was calculated and δ13C was measured in leaves for the baseline and stable water deficit periods. A large genetic variability was observed within the panel. The rootstock had a significant impact on nocturnal transpiration which was also strongly and positively correlated with maximum daytime transpiration. The correlations with growth and water use efficiency related traits will be discussed. Transpiration data were also related with VPD and soil water content demonstrating the influence of environmental conditions on transpiration. These results highlighted the role of the rootstock in modulating water deficit responses and give insights for rootstock breeding programs aimed at identifying drought tolerant rootstocks. It was also helpful to better define the mechanisms on which the drought tolerance in grapevine rootstocks is based on.

Interpreting wine aroma: from aroma volatiles to the aromatic perception

Wine contains so many odorants that all its olfaction-related perceptions are, inevitably, the result of the interaction between many odorants.

Capture depletion of grapevine DNA: an approach to advance the study of microbial community in wine

The use of next-generation sequencing (NGS) has helped understand microbial genetics in oenology. Current studies mainly focus on barcoded amplicon NGS but not shotgun sequencing, which is useful for functional analyses. Since the high percentage of grapevine DNA conceals the microbial DNA in must, the majority of sequencing data is wasted in bioinformatic analyses. Here we present capture depletion of grapevine whole genome DNA.

Impact of microclimate on berry quality parameters of white Riesling (Vitis vinifera L.)

Knowledge has been accumulated on the impact of microclimate, in particular berry temperature and irradiation, for a wide range of red varieties. However, little research has been dedicated on the effects of the same factors on the quality of white grape varieties.

Pharmacological basis of the J-shaped curve in biological effects of wine

The classical pharmacological model assumes that the effect of a drug is proportional to the fraction of receptors occupied by the drug. In the simplest circumstances, the relationship between dose of a drug and response, when plotted on a logarithmic scale for drug concentration, is described by a sigmoidal curve. It presumes the existence of a threshold dose, below which no biological effect appears, and a maximal response in the form of a plateau, when a further increase in the dose of drug has no effect.