The use of near-infrared spectroscopy (NIRS) in the study of seed quality components in plant breeding programs

Font, Rafael; Río-Celestino, Mercedes Del; Bailón, Antonio de Haro

doi:10.1016/j.indcrop.2006.06.012

Cited by 80 publications

(74 citation statements)

References 14 publications

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“…In addition to the widely used NIRS-based prediction of oil, protein and moisture content, NIRS calibrations have been developed for measuring amino and fatty acids (Pazdernik et al 1997;Velasco et al 1999;Kovalenko et al 2006) and antinutritional components such as glucosinolates (Font et al 2006) or phenolics (Velasco et al 1998). Moreover, NIRS procedures for analyzing single seeds for oil content or fatty acid concentration (Jiang et al 2007;Tillman et al 2006;Velasco et al 1999Velasco et al , 2004) have been presented.…”

Section: Breeding For Oil Contentmentioning

confidence: 99%

Oil Crop Breeding and Genetics

Vollmann

Rajcan

2009

Oil Crops

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Section: Breeding For Oil Contentmentioning

confidence: 99%

Oil Crop Breeding and Genetics

Vollmann

Rajcan

2009

Oil Crops

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“…The quantitative and qualitative traits of seeds have been analyzed using this method in many crops of cereals and oilseeds (Charron et al 2005, Weinstock et al 2006. In rapeseed, several researchers reported that NIRS using intact-seeds is useful to estimate seed components from the viewpoint of validity of NIRS analysis on seed compositions (Font et al 2006, Sato 2008, Velasco and Becker 1998, single seed (Sato et al 1998, Velasco et al 1999, Velasco and Mollers 2002, and small seed samples (Hom et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Genetic variation of storage compounds and seed weight in rapeseed (Brassica napus L.) germplasms

et al. 2011

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One thousand five hundred rapeseed accessions were collected from gene banks in several countries and surveyed for their seed traits such as oil content, protein content, fatty acid composition and seed weight. Seed chemicals were analyzed by near-infrared reflectance spectroscopy (NIRS). An extensive genetic variation existed among accessions for all seed traits examined. The oil content ranged from 24.7 to 56.9%, and the protein content ranged from 6.7 to 36.6%. A hundred seed weight ranged from 0.13 to 0.70 g. The fatty acid compositions of germplasms also varied from 2.6 to 9.2% of C16:0 (palmitic acid), 0.3 to 70.2% of C18:1 (oleic), 10.3 to 28.9% of C18:2 (linoleic), 4.8 to 15.3% of C18:3 (linolenic), 0 to 10.5% of C20:1(eicosenoic) and 0 to 59.6% of C22:1 (erucic). The oil content had strong negative correlation with protein content (r = −0.848). However, it did not have any close correlations with other traits. When the genetic stability of seed traits was examined by comparison between original seeds and self-pollinated seeds (S 1 seeds), higher positive and significant correlation coefficients between original seeds and S 1 seeds were found in all seed traits.

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“…De esta manera, las muestras de validación externa seleccionadas representan todo el intervalo de variabilidad del conjunto de la población (Hruschka, 2001). Para el desarrollo de las ecuaciones de calibración se aplicó el método de regresión por mínimos cuadrados parciales modificados (MPLS), del que se ha mostrado su utilidad para la evaluación de los minerales, utilizando todo el intervalo espectral (400-2500 nm) (Cozzolino & Moron, 2004;Font, Del Río-Celestino, & De Haro-Bailón, 2006;González et al, 2007;Martínez et al, 2014;Ward, Nielsen, & Møller, 2011).…”

Section: Desarrollo De Ecuaciones Nirsunclassified