Rapid metabolic discrimination and prediction of dioscin content from African yam tubers using Fourier transform-infrared spectroscopy combined with multivariate analysis

Kwon, Yong-Kook; Jie, Eun Yee; Sartie, Alieu; Kim, Dong Jin; Liu, Jang Ryol; Min, Byung Whan; Kim, Suk Weon

doi:10.1016/j.foodchem.2014.06.035

Cited by 20 publications

(7 citation statements)

References 26 publications

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“…GC-MS has been used successfully to assess diversity across yam species but the analysis focused on the foliage (Price et al ., 2016) and on tuber carotenoids (Price et al ., 2018). A first attempt to predict the dioscin content in yam tubers using infrared spectroscopy concluded that the accuracy was average ( R 2 value = 0.72) because of the low concentration of dioscin (Kwon et al ., 2015).…”

Section: Discussionmentioning

confidence: 99%

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Development of HP-TLC method for rapid quantification of sugars, catechins, phenolic acids and saponins to assess Yam (Dioscorea spp.) tuber flour quality

Lebot

Malapa

Molisalé³

2018

Plant Genet. Resour.

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Eight yam species (Dioscorea spp.) represented by 522 accessions (landraces and hybrids) were analysed for the individual sugars, catechins, phenolic acids and saponins contents of their tuber flours. Maltose, sucrose, glucose and fructose were quantified. Reducing sugars mean values were highly variable within species and ranged from 0.16%dry weight (DW) (SD ± 0.12) in D. dumetorum to 3.15%DW (±2.49) in D. esculenta. Maltose was detected only in D. esculenta. Chlorogenic acid, gallic acid and other phenolic acids ranged from 4.33 mg/g DW in D. bulbifera to 4.87 mg/g in D. alata and 9.55 mg/g in D. nummularia but were not detected in other species. Catechins (epicatechin and catechin) were highest in D. bulbifera bulbils (25.18 mg/g) and tubers (6.96 mg/g), and lowest in D. esculenta (0.32 mg/g). Their content is significantly correlated with dark flour colour and they most likely contribute to the oxidation of tuber flesh. Saponins (dioscin and gracillin) were quantified in only two species: D. cayenensis (5.94 mg/g, SD ± 3.78) and D. esculenta (3.74 mg/g, SD ± 3.72). Varietal selection may tend to reduce sugars levels and increase secondary metabolites with bioactive properties. HP-TLC is a suitable technique for the rapid quantification of compounds related to yam tuber flour quality.

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Section: Discussionmentioning

confidence: 99%

“…Our data also confirmed the results obtained by Kwon et al . (2015) who analysed accessions and breeding lines from IITA (International Institute of Tropical Agriculture), in Nigeria. They did not detect dioscin in D. alata , D. bulbifera or D. dumetorum accessions and found that D. cayenensis accessions had high dioscin contents.…”

Section: Discussionmentioning

confidence: 99%

Development of HP-TLC method for rapid quantification of sugars, catechins, phenolic acids and saponins to assess Yam (Dioscorea spp.) tuber flour quality

Lebot

Malapa

Molisalé³

2018

Plant Genet. Resour.

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“…To explore the use of aerial tubers of D. alata as alternative planting materials owing to the high cost and supply shortage of seed yam propagules, over 800 accessions from the IITA germplasm collection were evaluated for aerial tuber production and a set of accessions bearing aerial tubers were identified (Girma, Gedil, & Spillane, ). A number of studies have successfully assessed the IITA’s and other institution's yam diversity represented by different genebank accessions, landraces and breeding lines for host–plant resistance and quality traits and have shown a rich base of germplasm resource that can inform breeding strategies for resistance to major yam pest such as nematodes, anthracnose and virus diseases, and genetic enhancement for quality traits including various secondary metabolites, tuber carotenoids and other food quality traits (Mohandas, Ramakrishnan, & Sheela, ; Plowright & Kwoseh, ; Mignouna, Abang, Green, & Asiedu, ; Mignouna, Njukeng, Abang, & Asiedu, ; Abang et al, ; Onyeka, Petro, Ano, Etienne, & Rubens, ; Arnau, Maledon, & Nemorin, ; Egesi, Odu, Ogunyemi, Asiedu, & Hughes, ; Kwosch, Plowright, Bridge, & Asiedu, ; Asiedu & Sartie, ; Kwon et al, ; Price, Wilkin, Sarasan, & Fraser, ; Lebot et al, 2018; Price, Bhattacharjee, Lopez‐Montes, & Fraser, ). There is also an ongoing initiative at IITA to sequence all the genebank yam collections to expedite its use for breeding.…”

Section: Germplasm Resources For Yam Improvementmentioning

confidence: 99%

Review of empirical and emerging breeding methods and tools for yam (Dioscorea spp.) improvement: Status and prospects

et al. 2019

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Yam (Dioscorea spp.) is an important tuber crop with tremendous potential as a functional food in the tropics and subtropics. However, the crop has not shown progressive productivity gain over decades due to various production constraints. This paper reviews the progress achieved in empirical breeding endeavours and the development, status and application of emerging breeding tools and technologies to translate genetic gains in yam improvement. Significant progress has been made in yam genetic improvement over the years which has led to the identification and development of several improved clones and sources of variability for various economically important traits. Substantial efforts have also been made to develop diverse molecular markers, transcriptome and metabolome profiles of crucial traits, trait mapping and generate reference genome sequences of the key species. However, there seems to be a slow translation of research improvements into widespread applications. These advances and the integration of empirical and emerging methods and technologies into the breeding process will enhance yam breeding efforts and ensure the quick delivery of improved varieties that possess superior agronomic and quality traits.

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“…However, to tackle more accessions, sample preparation has to be simplified and sped up. So far, all the studies but Kwon et al (2015) recorded NIRS spectra on the dried product (flour), which is tedious and time-consuming due to the steps of drying and milling the tubers. Kwon et al (2015) worked on freeze-dried samples, which is also time-consuming.…”

Section: Target Constituents and Physical Properties In Cassavamentioning

confidence: 99%

“…Moreover, most studies resort to partial least square regression and commercial software to carry out the multivariate analysis. Only Kwon et al (2015) tested support vector machine regression using opensource R statistical software. Because relationships between spectral values and the analyte may not be linear, the investigation in non-linear techniques, such as deep learning algorithms, may improve the performance of the prediction significantly.…”

Section: Target Constituents and Physical Properties In Cassavamentioning

confidence: 99%

Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review

Alamu

Nuwamanya

Cornet

et al. 2020

Int J of Food Sci Tech

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The review aimed to identify the different high-throughput phenotyping (HTP) techniques that used for quality evaluation in cassava and yam breeding programmes, and this has provided insights towards the development of metrics and their application in cassava and yam improvements. A systematic review of the published research articles involved the use of NIRS in analysing the quality traits of cassava and yam was carried out, and Scopus, Science Direct, Web of Sciences and Google Scholar were searched. The results of the review established that NIRS could be used in understanding the chemical constituents (carbohydrate, protein, vitamins, minerals, carotenoids, moisture, starch, etc.) for high-throughput phenotyping. This study provides preliminary evidence of the application of NIRS as an efficient and affordable procedure for HTP. However, the feasibility of using mid-infrared spectroscopy (MIRS) and hyperspectral imaging (HSI) in combination with the NIRS could be further studied for quality traits phenotyping.

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Rapid metabolic discrimination and prediction of dioscin content from African yam tubers using Fourier transform-infrared spectroscopy combined with multivariate analysis

Cited by 20 publications

References 26 publications

Development of HP-TLC method for rapid quantification of sugars, catechins, phenolic acids and saponins to assess Yam (Dioscorea spp.) tuber flour quality

Development of HP-TLC method for rapid quantification of sugars, catechins, phenolic acids and saponins to assess Yam (Dioscorea spp.) tuber flour quality

Review of empirical and emerging breeding methods and tools for yam (Dioscorea spp.) improvement: Status and prospects

Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review

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