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Salvador Villacreces

Researcher at Teagasc

Publications -  4
Citations -  131

Salvador Villacreces is an academic researcher from Teagasc. The author has contributed to research in topics: Glucobrassicin & Hyperspectral imaging. The author has an hindex of 4, co-authored 4 publications receiving 109 citations. Previous affiliations of Salvador Villacreces include University of Almería.

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Effects of chemical and handling exposure on fatty acids, oxidative stress and morphological welfare indicators in gilt-head sea bream (Sparus aurata).

TL;DR: The morphological traits, body composition, body fat and oxidative stress of Sparus aurata under two stress conditions: a low weekly exposure to the pesticide Diuron and chronic handling stress shows that oxidative stress sensitivity to chemical stress and shows that also could be an appropriate indicator of handling stress.
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Feasibility Study on the Use of Visible–Near-Infrared Spectroscopy for the Screening of Individual and Total Glucosinolate Contents in Broccoli

TL;DR: The potential of visible-near-infrared spectroscopy to determine selected individual and total glucosinolates in broccoli has been evaluated and discriminant partial least-squares was used to distinguish between two possible broccoli cultivars and showed a high degree of accuracy.
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Variation in bioactive content in broccoli (Brassica oleracea var. italica) grown under conventional and organic production systems

TL;DR: Organic cultivation practices resulted in significantly higher levels of glucobr Jurassicin and neoglucobrassicin in broccoli florets; however, other investigated compounds were unaffected by production practices.
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Preliminary study on the use of near infrared hyperspectral imaging for quantitation and localisation of total glucosinolates in freeze-dried broccoli

TL;DR: In this article, the use of hyperspectral imaging to quantify and localise total glucosinolates in florets of a single broccoli species has been examined Two different spectral regions (vis-NIR and NIR), a number of spectral pre-treatments and different mask development strategies were studied to develop the quantitative models.