Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics

G Magon, V De Rosa, M Martina, R Falchi… - Frontiers in Plant …, 2023‏ - frontiersin.org
The multifaceted nature of climate change is increasing the urgency to select resilient
grapevine varieties, or generate new, fitter cultivars, to withstand a multitude of new …

Vibrational spectroscopy combined with chemometrics in authentication of functional foods

F Li, J Zhang, Y Wang - Critical Reviews in Analytical Chemistry, 2024‏ - Taylor & Francis
Many foods have both edible and medical importance and are appreciated as functional
foods, preventing diseases. However, due to unscrupulous vendors and imperfect market …

Phenomic selection is a low-cost and high-throughput method based on indirect predictions: proof of concept on wheat and poplar

R Rincent, JP Charpentier… - G3: Genes …, 2018‏ - academic.oup.com
Genomic selection-the prediction of breeding values using DNA polymorphisms-is a
disruptive method that has widely been adopted by animal and plant breeders to increase …

Herbaria as big data sources of plant traits

JM Heberling - International Journal of Plant Sciences, 2022‏ - journals.uchicago.edu
Herbarium specimens have long been a cornerstone of taxonomic research but are only
recently being recognized for their potential as a source of spatially and temporally …

Phenomic selection and prediction of maize grain yield from near‐infrared reflectance spectroscopy of kernels

HM Lane, SC Murray… - The Plant Phenome …, 2020‏ - Wiley Online Library
High‐throughput phenoty** technologies, which can generate large volumes of data at
low costs, may be used to indirectly predict yield. We explore this concept, using high …

[HTML][HTML] Nondestructive testing of pear based on Fourier near-infrared spectroscopy

Z Lu, R Lu, Y Chen, K Fu, J Song, L **e, R Zhai… - Foods, 2022‏ - mdpi.com
Fourier transform near-infrared (FT-NIR) spectroscopy is a nondestructive, rapid, real-time
analysis of technical detection methods with an important reference value for producers and …

Classifying waste wood from Amazonian species by near-infrared spectroscopy (NIRS) to improve charcoal production

MDR Lima, FMG Ramalho, PF Trugilho, L Bufalino… - Renewable Energy, 2022‏ - Elsevier
Solutions to differentiate wood wastes in the storage yard of a charcoal production unit in
Amazonia, where identification is often mistaken due to broad morphological similarity of …

Reflectance spectroscopy allows rapid, accurate and non‐destructive estimates of functional traits from pressed leaves

S Kothari, R Beauchamp‐Rioux… - Methods in Ecology …, 2023‏ - Wiley Online Library
More than ever, ecologists seek to employ herbarium collections to estimate plant functional
traits from the past and across biomes. However, many trait measurements are destructive …

Reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs

L Stasinski, DM White, PR Nelson, RH Ree… - New …, 2021‏ - Wiley Online Library
Leaf reflectance spectroscopy is emerging as an effective tool for assessing plant diversity
and function. However, the ability of leaf spectra to detect fine‐scale plant evolutionary …

Discrimination of Gentiana and Its Related Species Using IR Spectroscopy Combined with Feature Selection and Stacked Generalization

T Shen, H Yu, YZ Wang - Molecules, 2020‏ - mdpi.com
Gentiana, which is one of the largest genera of Gentianoideae, most of which had potential
pharmaceutical value, and applied to local traditional medical treatment. Because of the …