Rapid discrimination of F1 hybrid seeds from their parental lines and selection of protein-rich corn lines for silage corn breeding using FT-IR spectroscopy combined by multivariate analysis = 단백질 고함유 옥수수 품종선발

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dc.contributor.authorS H Hur-
dc.contributor.authorS H Nahm-
dc.contributor.authorS G Yang-
dc.contributor.authorSuk Weon Kim-
dc.contributor.authorB W Min-
dc.date.accessioned2017-04-19T10:14:32Z-
dc.date.available2017-04-19T10:14:32Z-
dc.date.issued2015-
dc.identifier.issn1975-9479-
dc.identifier.uri10.1007/s12892-015-0108-7ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/12995-
dc.description.abstractThis study aims to establish the discrimination of F1 hybrid seeds from their parental lines and rapid selection of proteinrich lines from inbreeding lines of corn using FT-IR spectroscopy combined by multivariate analysis. Eight individual seeds from the maternal and paternal lines of Gwangpyeongok and their F1 progeny seeds were subjected to FT-IR spectroscopy. A total of 176 corn inbreeding lines including commercial corn cultivars were subjected to FT-IR spectroscopy. To establish the prediction model for total protein content from corn seed, 33 corn inbreeding lines out of 176 were randomly selected and total seed protein contents using Bradford assay were examined. PLS-DA (partial least square regression discriminant analysis) could clearly discriminate F1 hybrid seeds from their parental lines. PC (principal component) loading values show that 1,700 - 1,500 cm-1 and 1,200 - 900 cm-1 regions of FT-IR spectra are significantly important for discrimination of corn lines. The prediction model for total protein contents was established by PLS (partial least square regression) algorithm, and its accuracy was confirmed by cross-validation test (R2 = 0.94). After external validation fromexternal 25 corn inbreeding lines, regression coefficient (R2) was 0.78 which indicated that the prediction model had relatively good accuracy. Thus, considering these results we suggest that FT-IR combined with multivariate analysis could be applied as a novel tool for high-throughput screening of F1 hybrid seeds from their parental lines and protein-rich lines for breeding of silage corn cultivar.-
dc.publisherKorea Soc-Assoc-Inst-
dc.titleRapid discrimination of F1 hybrid seeds from their parental lines and selection of protein-rich corn lines for silage corn breeding using FT-IR spectroscopy combined by multivariate analysis = 단백질 고함유 옥수수 품종선발-
dc.title.alternativeRapid discrimination of F1 hybrid seeds from their parental lines and selection of protein-rich corn lines for silage corn breeding using FT-IR spectroscopy combined by multivariate analysis-
dc.typeArticle-
dc.citation.titleJournal of Crop Science and Biotechnology-
dc.citation.number3-
dc.citation.endPage169-
dc.citation.startPage161-
dc.citation.volume18-
dc.contributor.affiliatedAuthorSuk Weon Kim-
dc.contributor.alternativeName허설혜-
dc.contributor.alternativeName남석현-
dc.contributor.alternativeName양승균-
dc.contributor.alternativeName김석원-
dc.contributor.alternativeName민병환-
dc.identifier.bibliographicCitationJournal of Crop Science and Biotechnology, vol. 18, no. 3, pp. 161-169-
dc.identifier.doi10.1007/s12892-015-0108-7-
dc.subject.keywordcorn seed-
dc.subject.keywordFourier transformation infrared spectroscopy (FT-IR)-
dc.subject.keywordpartial least square (PLS) regression-
dc.subject.keywordprincipal component analysis (PCA)-
dc.subject.keywordtotal protein-
dc.subject.localcorn seed-
dc.subject.localfourier transform infared spectroscopy-
dc.subject.localFourier transform-infrared spectroscopy-
dc.subject.localFourier transformation infrared (FT-IR) spectroscopy-
dc.subject.localFT-IR spectroscopy-
dc.subject.localFourier transform infrared spectroscopy (FT-IR)-
dc.subject.localFT-IR-
dc.subject.localFourier transformation - Infrared spectroscopy-
dc.subject.localFourier transformation - infrared spectroscopy-
dc.subject.localFTIR-
dc.subject.localfourier transformation infrared spectroscopy-
dc.subject.localFourier transform infrared spectroscopy-
dc.subject.localFourier transformation infrared spectroscopy (FT-IR)-
dc.subject.localFT-IR (Fourier transform infrared spectroscopy)-
dc.subject.localFourier transform IR-
dc.subject.localFourier transform-infrared spectroscopy (FT-IR)-
dc.subject.localpartial least square (PLS) regression-
dc.subject.localprincipal component analysis (PCA)-
dc.subject.localPrincipal Component Analysis-
dc.subject.localPrincipal component analysis (PCA)-
dc.subject.localprincipal component analysis-
dc.subject.localprincipal components analysis-
dc.subject.localPrincipal component analysis-
dc.subject.localtotal protein-
dc.description.journalClassN-
Appears in Collections:
Jeonbuk Branch Institute > Biological Resource Center > 1. Journal Articles
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