Journal
APPLIED SPECTROSCOPY
Volume 66, Issue 4, Pages 447-450Publisher
SOC APPLIED SPECTROSCOPY
DOI: 10.1366/11-06426
Keywords
Near-infrared spectroscopy; NIR spectroscopy; Corn; Maize; Haploid selection; Partial least squares; PLS; Single kernel analysis; Soft independent modeling of class analogy; SIMCA
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Funding
- Iowa State University Plant Sciences Institute
- Department of Energy-Basic Energy Sciences [DE-AC02-07CH11358]
- Directorate For Engineering
- Div Of Industrial Innovation & Partnersh [1237720] Funding Source: National Science Foundation
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Samples of haploid and hybrid seed from three different maize donor genotypes after maternal haploid induction were used to test the capability of automated near-infrared transmission spectroscopy to individually differentiate haploid from hybrid seeds. Using a two-step chemometric analysis in which the seeds were first classified according to genotype and then the haploid or hybrid status was determined proved to be the most successful approach. This approach allowed 11 of 13 haploid and 25 of 25 hybrid kernels to he correctly identified from a mixture that included seeds of all the genotypes.
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