Feasibility of near infrared spectroscopy for analyzing corn kernel damage and viability of soybean and corn kernels

dc.contributor.author Goggi, A. Susana
dc.contributor.author Hurburgh, Charles
dc.contributor.author Duvick, Susan
dc.contributor.author Goggi, A.
dc.contributor.author Hurburgh, Charles
dc.contributor.author Gardner, Candice
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-13T16:00:20.000
dc.date.accessioned 2020-06-29T22:39:47Z
dc.date.available 2020-06-29T22:39:47Z
dc.date.embargo 2013-10-18
dc.date.issued 2012-03-01
dc.description.abstract <p>The current US corn grading system accounts for the portion of damaged kernels, measured by time-consuming and inaccurate visual inspection. Near infrared spectroscopy (NIRS), a non-destructive and fast analytical method, was tested as a tool for discriminating corn kernels with heat and frost damage. Four classification algorithms were utilized: Partial least squares discriminant analysis (PLS-DA), soft independent modeling of class analogy (SIMCA), k-nearest neighbors (K-NN), and least-squares support vector machines (LS-SVM). The feasibility of NIRS for discriminating normal or viable-germinating corn kernels and soybean seeds from abnormal or dead seeds was also tested. This application could be highly valuable for seed breeders and germplasm-preservation managers because current viability tests are based on a destructive method where the seed is germinated. Heat-damaged corn kernels were best discriminated by PLS-DA, with 99% accuracy. The discrimination of frost-damaged corn kernels was not possible. Discrimination of non-viable seeds from viable also was not possible. Since previous results in the literature contradict the current damage-discrimination results, the threshold of seed damage necessary for NIRS detection should be analyzed in the future. NIRS may accurately classify seeds based on changes due to damage, without any correlation with germination.</p>
dc.description.comments <p>This article is from Journal<em> of Cereal Science</em> 55 (2012): 160–166, doi:<a href="http://dx.doi.org/10.1016/j.jcs.2011.11.002" id="x-x-x-x-ddDoi" target="_blank">10.1016/j.jcs.2011.11.002</a>.</p>
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dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/432/
dc.identifier.articleid 1714
dc.identifier.contextkey 4739219
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/432
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1198
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/432/2012_EsteveAgeletL_FeasibilityNearInfrared.pdf|||Sat Jan 15 00:15:42 UTC 2022
dc.source.uri 10.1016/j.jcs.2011.11.002
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Agronomy
dc.subject.keywords Seed Science Center
dc.subject.keywords single seed
dc.subject.keywords near infrared spectroscopy
dc.subject.keywords discrimination
dc.title Feasibility of near infrared spectroscopy for analyzing corn kernel damage and viability of soybean and corn kernels
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isAuthorOfPublication 0544d4c0-b52e-42fa-8419-df2d08ad526b
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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