Hyperspectral imaging for the determination of relevant cooking quality traits of boiled cassava.

Autor: Meghar K; UMR Qualisud, CIRAD, Montpellier, France.; QualiSud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France., Tran T; UMR Qualisud, CIRAD, Montpellier, France.; QualiSud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France.; UMR QualiSud, CIRAD, Cali, Colombia.; Cassava Program, Alliance of Bioversity-International Center for Tropical Agriculture (CIAT), Cali, Colombia., Delgado LF; Cassava Program, Alliance of Bioversity-International Center for Tropical Agriculture (CIAT), Cali, Colombia., Ospina MA; Cassava Program, Alliance of Bioversity-International Center for Tropical Agriculture (CIAT), Cali, Colombia., Moreno JL; Cassava Program, Alliance of Bioversity-International Center for Tropical Agriculture (CIAT), Cali, Colombia., Luna J; Cassava Program, Alliance of Bioversity-International Center for Tropical Agriculture (CIAT), Cali, Colombia., Londoño L; Cassava Program, Alliance of Bioversity-International Center for Tropical Agriculture (CIAT), Cali, Colombia., Dufour D; UMR Qualisud, CIRAD, Montpellier, France.; QualiSud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France., Davrieux F; UMR Qualisud, CIRAD, Montpellier, France.; QualiSud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France.; UMR QualiSud, CIRAD, Saint-Pierre, France.
Jazyk: angličtina
Zdroj: Journal of the science of food and agriculture [J Sci Food Agric] 2024 Jun; Vol. 104 (8), pp. 4782-4792. Date of Electronic Publication: 2023 May 26.
DOI: 10.1002/jsfa.12654
Abstrakt: Background: The purpose of this study was to investigate the potential of hyperspectral imaging for the characterization of cooking quality parameters, dry matter content (DMC), water absorption (WAB), and texture in cassava genotypes contrasting for their cooking quality.
Results: Hyperspectral images were acquired on cooked and fresh intact longitudinal and transversal slices from 31 cassava genotypes harvested in March 2022 in Colombia. Different chemometric methods were tested for the quantification of DMC, WAB, and texture parameters. Data analysis was conducted through partial least squares regression, K nearest neighbors regression, support vector machine regression and CovSel multiple linear regression (CovSel_MLR). Efficient performances were obtained for DMC using CovSel_MLR with, coefficient of multiple determination R p 2 = 0.94 , root-mean-square error of prediction RMSEP = 0.96 g/100 g, and ratio of the standard deviation values RPD = 3.60. High heterogeneity was observed between contrasting genotypes. The predicted distribution of DMC within the root can be homogeneous or heterogeneous depending on the genotype. Weak predictions were obtained for WAB and texture parameters.
Conclusions: This study showed that hyperspectral imaging could be used as a high-throughput phenotyping tool for the visualization of DMC in contrasting cooking quality genotypes. Further improvement of protocols and larger datasets are required for WAB and texture quality traits. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
(© 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.)
Databáze: MEDLINE
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