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Advisor(s)
Abstract(s)
Taro (Colocasia esculenta (L.) Schott) and sweet potato (Ipomoea batatas (L.) Lam.) are important
food crops worldwide, whose productivity is threatened by climatic constraints, namely drought.
Data calibration, validation, and model development of high-precision near-infrared spectroscopy
(NIRS) involving multivariate analyses are needed for the fast prediction of the quality of tubers and
shoots impacted by drought stress. The main objective of this study was to generate accurate NIRS
models for quality assessment of taro and sweet potato accessions (acc.) subjected to water scarcity
conditions. Seven taro and eight sweet potato acc. from diverse geographical origins were evaluated
for nitrogen (N), protein (Pt), starch (St), total mineral (M), calcium oxalate (CaOx), carbon isotope
discrimination (∆
13C), and nitrogen isotopic composition (δ
15N). Models were developed separately
for both crops underground and aboveground organs. N, Pt, St, and M models could be used as
quality control constituents, with a determination coefficient of prediction (r2
pred) between 0.856 and
0.995. δ
13C, δ
15N, and CaOx, with r2
pred between 0.178 and 0.788, could be used as an informative
germplasm screening tool. The approach used in the present study demonstrates NIRS’s potential for
further research on crop quality under drought.
Description
Keywords
Calcium oxalate Carbon and nitrogen isotopic compositions Near-infrared spectroscopy Nitrogen protein Starch Sweet potato Taro Total minerals Water scarcity . Faculdade de Ciências da Vida
Citation
Gouveia, C. S., Lebot, V., & Carvalho, M. P. (2020). NIRS estimation of drought stress on chemical quality constituents of taro (Colocasia esculenta L.) and sweet potato (Ipomoea batatas L.) flours. Applied Sciences, 10(23), 8724. https://doi.org/10.3390/app10238724
Publisher
MDPI