Phytochemicals determination and classification in purple and red fleshed potato tubers by analytical methods and near infrared spectroscopy

Tierno, Roberto; López, Ainara; Riga, Patrick; Arazuri, Silvia; Jarén, Carmen; Benedicto, Leire; Galarreta, José Ignacio Ruíz de

doi:10.1002/jsfa.7294

Cited by 37 publications

(31 citation statements)

References 54 publications

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“…High phenotypic correlations between TMA, TSP and HAC in potato have been reported in previous studies (Andre et al., ; Tierno & Ruiz de Galarreta, 2016a; Tierno et al., ). In fact, four major phenolic compounds, including chlorogenic acid, gallic acid, catechin and caffeic acid, account for more than 60%–80% of the total antioxidant capacity in potato (Reddivari, Hale, & Miller, ).…”

Section: Discussionsupporting

confidence: 61%

“…The significance of the genotype GCA and SCA interactions with years for all the traits indicated that families responded differently to the year factor. The existence of significant environmental effects and GE for bioactive compounds and antioxidant capacity in tetraploid potato has been previously reported by several authors (Haynes et al, 1996;2000;Tierno et al, 2016). This implies a challenge for breeders as it reduces the correlation between genotype and phenotype.…”

Section: Few Publications Have Dealt With Quantitative Genetics In Rementioning

confidence: 93%

“…‘Fenton,’ “NK‐08/349,” ‘Purple Peruvian,’ ‘Bleu de La Manche,’ ‘Jesús,’ ‘Morada,’ ‘Blue Star,’ “CIP‐7002/34,” ‘Rouge de Flandes,’ ‘Blue Congo,’ ‘British Columbia Blue’ and ‘Entzia’). Exhaustive characterizations and evaluations in terms of morpho‐agronomic descriptors, molecular markers (SSR), nutritional quality and bioactive potential are available (Tierno & Ruiz de Galarreta, ,b; Tierno et al., ). A sample of six male clones was individually crossed with a sample of six female clones in two sets of six parents each following a North Carolina II design (Comstock & Robinson, , ).…”

Section: Methodsmentioning

confidence: 99%

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Genetic analyses for bioactive potential in tetraploid potato (Solanum tuberosum L.)

Tierno

Galarreta

2018

Plant Breeding

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A total of four traits related to bioactive potential of the tetraploid potato were studied in a North Carolina II cross‐experiment. The objectives of this study were to estimate genetic parameters for target bioactive compounds in a tetraploid potato population, to determine phenotypic and genotypic correlations and to calculate combining ability effects of cultivars and breeding lines included in the crossing scheme. Total monomeric anthocyanins, phenolics, carotenoids and hydrophilic antioxidant capacity were measured by spectrophotometric methods. The sources of variation female (GCAf), male (GCAm) and their interaction (SCA) were significant for bioactive compounds and antioxidant capacity. Narrow‐sense heritability estimates (h2) were moderate for all the traits (0.413–0.657). Both phenotypic and genotypic correlations were highly significant for phenolic compounds and antioxidant capacity. As regards combining ability, positive and negative GCA and also SCA effects have been identified for bioactive compounds and antioxidant capacity. These results indicate that hybrid breeding lines can be obtained by choosing parents with significant GCA, whose bioactive potential can also be further enhanced if the crosses have a significant SCA.

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Section: Discussionsupporting

confidence: 61%

Section: Few Publications Have Dealt With Quantitative Genetics In Rementioning

confidence: 93%

Section: Methodsmentioning

confidence: 99%

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Genetic analyses for bioactive potential in tetraploid potato (Solanum tuberosum L.)

Tierno

Galarreta

2018

Plant Breeding

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“…Despite the common belief in earlier studies that the most intensely colored yellowfleshed potatoes contained β-carotene, it may be true that there is no β-carotene or just a trace 10 . Rather, Solanum Tierno et al 67 reported variations in the carotenoid concentrations in some colored potato cultivars. There was a six-fold variation in total carotenoids, which ranged from 0.00915 to 0.0590 g/kg FW.…”

Section: Caroteinoidsmentioning

confidence: 99%

Fatty Acids and Bioactive Lipids of Potato Cultivars: An Overview

Ramadan

Oraby

2016

J. Oleo Sci.

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“…Recently, NIRS has been mainly used for the determination of potato components (such as potato dry matter, starch, protein, sugar content), evaluation of potato quality (pathology, breed, and grade). [1,[14][15][16][17] Li Xin successfully identified potato varieties and determined their dry matter contents using NIRS. [18] and Norbert U.H.…”

Section: Introductionmentioning

confidence: 99%

Development of a predictive model to determine potato flour content in potato-wheat blended powders using near-infrared spectroscopy

Huang

Fen

et al. 2018

International Journal of Food Properties

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Potato is a good source of dietary energy and several micronutrients, and the development of staple foods using potato-wheat blended powder has received much attention recently in China. A rapid and accurate method for determining the potato flour content in potato staple foods would be valuable to market regulation efforts. We developed a predictive model for the potato flour content in potato-wheat blended powders based on near-infrared spectroscopy (NIRS) analysis. The correction of the near-infrared optical path was carried out to eliminate optical path differences using multiplicative scatter correction (MSC) and smoothing of the spectra using the Savitzky-Golay smoothing first-orderderivative (S-G-1 st D).The prediction model was developed based on partial least squares (PLS) combined with cross-validation(CV) within the full spectrum(850-1100 nm). The results showed that the optimal main factors of potato flour content in potatowheat blended powder were 9, and the coefficient of determination of calibration (R 2 c) and standard error of cross-validation (SECV) of the prediction model reached 0.9997 and 0.51, respectively, indicating a good correlation. The repeatability standard deviation (SDr) and repeatability coefficient of variation of cross-validation (CVr) in validated samples were 0.246 and 0.967, respectively, which indicated that the prediction model had good repeatability. The bias-corrected standard error of prediction (SEP) and correlation coefficient of validation (R 2 P) were 0.69 and 0.9995, respectively, demonstrating good accuracy and stability. The results of this study demonstrated that this prediction model based on NIRS could determine the potato flour content in potato-wheat blended powders accurately and quickly.

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Phytochemicals determination and classification in purple and red fleshed potato tubers by analytical methods and near infrared spectroscopy

Cited by 37 publications

References 54 publications

Genetic analyses for bioactive potential in tetraploid potato (Solanum tuberosum L.)

Genetic analyses for bioactive potential in tetraploid potato (Solanum tuberosum L.)

Fatty Acids and Bioactive Lipids of Potato Cultivars: An Overview

Development of a predictive model to determine potato flour content in potato-wheat blended powders using near-infrared spectroscopy

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