2011
DOI: 10.1007/s11746-011-1829-5
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Simultaneous Quantification of Oil and Protein in Cottonseed by Low‐Field Time‐Domain Nuclear Magnetic Resonance

Abstract: Modification of cottonseed quality traits is likely to be achieved through a combination of genetic modification, manipulation of nutrient allocation, and selective breeding. Oil and protein stores account for the majority of mass of cottonseed embryos. A more comprehensive understanding of the relationship between lint quality, lint yield, and embryo reserve accumulation will assist breeders in their efforts to improve seed value. Here we report the development of a rapid, nondestructive, simultaneous method … Show more

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Cited by 39 publications
(37 citation statements)
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“…Cotton is a typical oilseed, storing lipids and proteins in cytosolic organelles of mature seed tissues. In cottonseeds, the amount of stored lipid is ;20% of the seed dry weight (Horn et al, 2011b), making refined cottonseed oil a valuable coproduct of fiber production. However, the antinutritional secondary metabolite, gossypol, must be removed from seed oil extracts through the refining process, and gossypol residues in the protein meal limit its use as a high-value animal feed (Jones and King, 1996).…”
Section: Introductionmentioning
confidence: 99%
“…Cotton is a typical oilseed, storing lipids and proteins in cytosolic organelles of mature seed tissues. In cottonseeds, the amount of stored lipid is ;20% of the seed dry weight (Horn et al, 2011b), making refined cottonseed oil a valuable coproduct of fiber production. However, the antinutritional secondary metabolite, gossypol, must be removed from seed oil extracts through the refining process, and gossypol residues in the protein meal limit its use as a high-value animal feed (Jones and King, 1996).…”
Section: Introductionmentioning
confidence: 99%
“…The use of high-field NMR to screen seeds and grains based on their quality characteristics, that is, protein content and quality, is not always feasible due to complicated procedures required for sample preparation as well as the cost of the required instruments (Gouilleux, Marchand, Charrier, Remaud, & Giraudeau, 2018;Marcone et al, 2013). This technique has been mostly used for quality characterization and screening of oilseeds (Horn et al, 2011;Melchinger et al, 2017Melchinger et al, , 2018Pedersen, Munck, & Engelsen, 2000), although a few studies have been conducted to examine the possibility of using LF-NMR for cereal screening (Brusewitz & Stone, 1987;Rolletschek et al, 2015). This technique has been mostly used for quality characterization and screening of oilseeds (Horn et al, 2011;Melchinger et al, 2017Melchinger et al, , 2018Pedersen, Munck, & Engelsen, 2000), although a few studies have been conducted to examine the possibility of using LF-NMR for cereal screening (Brusewitz & Stone, 1987;Rolletschek et al, 2015).…”
Section: Resonance Spectroscopymentioning
confidence: 99%
“…Using mathematical analysis of the measured spectral data, for example, partial least squares regression (PLSR), the authors derived acceptable prediction models for water and oil content and mentioned the possibility of obtaining good models to predict the protein content in their oilseed samples (Pedersen et al, 2000). Horn et al (2011) developed a fast, nondestructive method for simultaneous determination of oil and protein in cottonseed using a low-field 1 H time-domain (TD) NMR instrument. Horn et al (2011) developed a fast, nondestructive method for simultaneous determination of oil and protein in cottonseed using a low-field 1 H time-domain (TD) NMR instrument.…”
Section: Resonance Spectroscopymentioning
confidence: 99%
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“…Mature intact seeds were loaded into the tubes at 20°C, and the spin-echo signal was averaged over 16 measurements. The signal height of the spin echo is proportional to lipid content in seeds Horn et al, 2011b), given that seeds are dry. The proportionality constant was estimated from a range of samples with known lipid content.…”
Section: High-throughput Quantification Of Oil Content Using Low-fielmentioning
confidence: 99%