2013
DOI: 10.1021/jf403790v
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Analysis of Maize (Zea mays) Kernel Density and Volume Using Microcomputed Tomography and Single-Kernel Near-Infrared Spectroscopy

Abstract: Maize kernel density affects milling quality of the grain. Kernel density of bulk samples can be predicted by near-infrared reflectance (NIR) spectroscopy, but no accurate method to measure individual kernel density has been reported. This study demonstrates that individual kernel density and volume are accurately measured using X-ray microcomputed tomography (μCT). Kernel density was significantly correlated with kernel volume, air space within the kernel, and protein content. Embryo density and volume did no… Show more

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Cited by 41 publications
(63 citation statements)
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“…This is in contrast to rice, where a single mutant lacking function of the pdk1 homolog caused an opaque phenotype (24). Single-kernel near infrared reflectance (NIR) spectra predicted starch, protein, and oil content, as well as density, in the segregating populations (27,28). No consistent differences between wild-type and mutant siblings were observed regarding composition, although NIR spectra differences correlated with elevated density in pdk2-DsEx4 homozygous kernels (SI Appendix, Table S1).…”
Section: Resultsmentioning
confidence: 92%
“…This is in contrast to rice, where a single mutant lacking function of the pdk1 homolog caused an opaque phenotype (24). Single-kernel near infrared reflectance (NIR) spectra predicted starch, protein, and oil content, as well as density, in the segregating populations (27,28). No consistent differences between wild-type and mutant siblings were observed regarding composition, although NIR spectra differences correlated with elevated density in pdk2-DsEx4 homozygous kernels (SI Appendix, Table S1).…”
Section: Resultsmentioning
confidence: 92%
“…Mature seed traits of mre and pre mutants Single-kernel NIR spectroscopy was used to predict kernel composition traits of the mre and pre isolates (Spielbauer et al 2009;Gustin et al 2013). All mutants reduced seed weight and volume without affecting relative protein and starch content ( Figure S3).…”
Section: Resultsmentioning
confidence: 99%
“…Single-kernel near-infrared reflectance (NIR) spectroscopy was used to predict quantitative kernel traits for 96 normal and 96 mutant kernels of each isolate (Gustin et al 2013). Predicted traits include: weight (milligrams), % oil, % protein, % starch, seed density (grams per cubic centimeters), material density (grams per cubic centimeters), seed volume (cubic millimeters), and material volume (cubic millimeters).…”
Section: Mature Kernel Phenotypesmentioning
confidence: 99%
“…In maize compositional analysis, NIR spectroscopy has been only used to analyze protein and amino acids (Rosales, Galicia, Oviedo, Islas, & Palacios-Rojas, 2011), as well as kernel density and volume (Gustin et al, 2013). The determination of physicochemical and biochemical characteristics is significant for the breeding and selection processes (Motto, Hartings, Fracassetti, & Consonni, 2011;Rosales, Galicia, Oviedo, Islas, & Palacios-Rojas, 2011).…”
Section: Introductionmentioning
confidence: 99%