Near-infrared spectroscopy (NIRS) for quality assurance in breeding, cultivation and marketing of high-oleic sunflowers

Biskupek‐Korell, Bettina; Moschner, Christian R.

doi:10.2298/hel0645073b

Cited by 8 publications

(10 citation statements)

References 3 publications

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“…For the proper utilization of sunflower oils in food and other industries, oil, moisture and protein contents, fatty acid compositions and quality characteristics of sunflowers should be quickly and reliably evaluated by analytical tools at the harvest, marketing and processing (Biskupek-Korell and Moschner 2006).…”

Section: Introductionmentioning

confidence: 99%

“…NIR spectroscopy, based on the resolution of the analytical and quality factors from food samples with correlation of electromagnetic absorption at aforementioned wavelength, is used routinely in sensory, physical and chemical analysis of food and agricultural products (Williams 2001;Izneid et al 2014;Madalozzo et al 2015;Srikham and Noomhorm 2015). For this purpose, studies were conducted to determine crude fat content of the oil plants and their fatty acid compositions by NIR spectroscopy (Fassio and Cozzolino 2004;Velasco et al 2004;Biskupek-Korell and Moschner 2006;Koprna et al 2006).…”

Section: Introductionmentioning

confidence: 99%

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Prediction of fatty acid composition of sunflower seeds by near-infrared reflectance spectroscopy

Akkaya

2018

J Food Sci Technol

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This study was performed in order to evaluate efficiency of near-infrared reflectance spectroscopy (NIRS) for the determination of fatty acid composition ratio of sunflower seeds and to compare performance of calibration methods. Calibration equations were developed using modified partial least squares (MPLS) and partial least squares (PLS) regression methods. Ninety-three sunflower seed varieties were from test field of East Mediterranean Agricultural Research Institute. In order to determine the reference fatty acid values needed to construct calibration in NIRS analysis, sunflower seed samples were analyzed by gas chromatography method. Coefficients of determination (R) in calibration were developed using MPLS and PLS as follows: for palmitic acid 0.706-0.664, for stearic acid 0.615-0.654, for oleic acid 0.996-0.994, for linoleic acid 0.995-0.994, for arachidic acid 0.768-0.643, for linolenic acid 0.818-0.763, for behenic acid 0.891-0.776, for eicosapentaenoic 0.933-0.892, for unsaturated fatty acid 0.837-0.890 and for saturated fatty acid 0.837-0.890 respectively. The results showed that NIRS was a reliable technique that can be used as a tool for rapid pre-screening of fatty acid composition of sunflower seeds.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of fatty acid composition of sunflower seeds by near-infrared reflectance spectroscopy

Akkaya

2018

J Food Sci Technol

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“…Near infrared reflectance spectroscopy (NIRS) has been extensively used to estimate the fatty acid profile in single seeds of sunflower [5][6][7][8], rapeseed [9][10][11], peanut [12], and corn [13]. In all cases, NIRS was used to discriminate between major fatty acids such as stearic, oleic and linoleic acid, which differ in the number of double bonds in their molecules (18:0 stearic acid, 18:1 oleic acid, 18:2 linoleic acid).…”

Section: Introductionmentioning

confidence: 99%

Identification of High Oleic Castor Seeds by Near Infrared Reflectance Spectroscopy

Fernández‐Cuesta¹,

Fernández‐Martínez²,

Velasco³

2011

J Americ Oil Chem Soc

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Castor oil contains a high proportion (>80%) of the unusual hydroxy fatty acid ricinoleic acid. Additionally, a mutant with high oleic acid content (>70%) has been developed. Both fatty acids differ in the presence of an OH group in the C18 tail (ricinoleic acid). The objective of this research was to evaluate whether near‐infrared reflectance spectroscopy (NIRS) can be used to discriminate between high oleic and high ricinoleic acid seeds. Eight hundred and seventy‐two individual seeds collected in 2008, 688 high ricinoleic and 184 high oleic, were scanned by NIRS and further analyzed by GLC. As high oleic/low ricinoleic acid content is recessive and no intermediate fatty acid levels occur, the spectral data was subjected to linear discriminant analysis, which correctly classified all the seeds. The discriminant function was validated with a set of 637 seeds collected in 2009 from segregating populations, which were correctly classified in all cases. NIRS discrimination between oleic and ricinoleic acid was mainly based on spectral regions around 1,400 and 1,914 nm, putatively associated with the absorbance of the OH group. The results confirmed that NIRS provides an effective means of discriminating between high oleic and high ricinoleic acid seeds.

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“…Near infrared reflectance (NIR) spectroscopy, has been successfully used as an alternative technique to classical methods to determine multiple parameters of seed quality traits in sunflower, such as proteins, oil content, fatty acid compositions (Pérez-Vich et al 1998;Velasco and Becker 1998;Biskupek-Korell and Moschner, 2007;Ebrahimi et al 2008Ebrahimi et al , 2009). Seed protein content (SPC), seed oil content (SOC), palmitic acid content (PAC), stearic acid content (SAC), oleic acid content (OAC) and linoleic acid content (LAC) were measured in mutants and original line (AS613) in each replication for both conditions by the FOSS NIRSystems 6500.…”

Section: Seed-quality Traitsmentioning

confidence: 99%

Genetic variability of seed-quality traits in gamma-induced mutants of sunflower (Helianthus annuus L.) under water-stressed condition

et al. 2010

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Sunflower is one of the major annual world crops grown for edible oil and its meal is a potential source of protein for human consumption. It contains tocopherol that decreases potential risk of chronic diseases in human. The objectives of the current research are to assess the genetic variability and to identify AFLP markers and candidate genes associated with seed-quality traits under well-irrigated and water-stressed conditions in gammainduced mutants of sunflower. Two mutant lines, M8-826-2-1 and M8-39-2-1, with significant increased level of oleic acid were identified that can be used in breeding programs for quality increase high oxidative stability and heart-healthy properties.The significant increased level of tocopherol in mutant lines, M8-862-1N1 and M8-641-2-1, is justified by observed polymorphism for tocopherol pathway-related gene; MCT. The most important marker for total tocopherol content is E33M50_16 which explains 33.9% of phenotypic variance. One of the most important candidate genes involving fatty acid biosynthesis, FAD2 (FAD2-1), is linked to oleic and linoleic acids content and explained more than 53% of phenotypic variance. Common markers associated with different seed-quality traits in well-irrigated and water-stressed conditions could be used for markerassisted selection (MAS) in both conditions. Other markers, which are specific for one condition whereas linked to different traits or specific for a trait, could be useful for a given water treatment.

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Near-infrared spectroscopy (NIRS) for quality assurance in breeding, cultivation and marketing of high-oleic sunflowers

Cited by 8 publications

References 3 publications

Prediction of fatty acid composition of sunflower seeds by near-infrared reflectance spectroscopy

Prediction of fatty acid composition of sunflower seeds by near-infrared reflectance spectroscopy

Identification of High Oleic Castor Seeds by Near Infrared Reflectance Spectroscopy

Genetic variability of seed-quality traits in gamma-induced mutants of sunflower (Helianthus annuus L.) under water-stressed condition

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