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Young-Jun Park,Tomotaro Nishikawa,Kazuhiro Nemoto,Kenichi Matsushima,Mineo Minami,Makoto Kawase 한국육종학회 2012 한국육종학회 심포지엄 Vol.2012 No.07
We investigated the expression patterns of a granule-bound starch synthase I (GBSSI = Waxy) gene at different developmental stages of storage and non-storage organs in Amaranthus cruentus. GBSSI transcripts were strongly expressed in the middle and mid-late stages of seed development and thereafter expression decreased. In addition, this gene was expressed in all non-storage organs tested (the leaf, stem, petiole and root) and showed a tendency to increase during plant development. Therefore, our results indicate that the amaranth GBSSI gene exhibits late expression in the perisperm, and that it is expressed in both storage and non-storage tissues. We also investigated the genetic diversity of GBSSI among 37 strains of amaranth grains originating from New World. A comparison of the GBSSI coding sequence revealed an extremely high level of sequence conservation, and a single nucleotide polymorphism between the sequences of non-waxy (Type I) and waxy (Type II) phenotypes was detected. This indicates that a G–T polymorphism in exon 10 (a nonsense mutation) was a unique event in the evolution of the GBSSI gene in amaranth grains.
Non-destructive analysis of Japanese table grape qualities using near-infrared spectroscopy
Chaorai Kanchanomai,Shintaroh Ohashi,Daruni Naphrom,Wakana Nemoto,Phonkrit Maniwara,Kazuhiro Nakano 한국원예학회 2020 Horticulture, Environment, and Biotechnology Vol.61 No.4
Near-infrared (NIR) spectroscopy is a useful technique for the non-destructive analysis of fruit quality. The key qualityparameters of table grapes ( Vitis vinifera ) that aff ect consumer preference are the soluble solids content (SSC), pH, fi rmness,and seedlessness. This research focused on using NIR spectroscopy for assessing the quality of ‘Kyoho’ table grapes, as anon-destructive analysis under laboratory and fi eld conditions. NIR spectra for each sample were acquired in the wavelengthrange of 400–1000 nm, using a visible/NIR spectrometer with fi bre optics in the interactance mode. Partial least-squareregression was used to calibrate the NIR spectral data with all the measured properties of table grapes. The best predictionmodel for fi rmness was the Savitzky–Golay fi rst derivative (SGD1) with a coeffi cient of determination (R 2prediction ) of 0.7427in the laboratory, and 0.7804 in the fi eld. The R 2prediction values for pH in the laboratory and the fi eld was 0.6276 using multiplicativescatter correction (MSC), and 0.7676 using SGD1, respectively. These values were similar to the R 2prediction values ofSSC, which were 0.6926 using MSC, and 0.8052 using the Savitzky–Golay second derivative, respectively. In both analysesthe R 2 of the calibration model was between 0.6944 and 0.8877. The partial least-square discriminant analysis was used toclassify the percentage of seedlessness, which was 93.10% in the laboratory using SGD1 or MSC, and 79.31% in the fi eldusing MSC. Therefore, NIR spectroscopy is an effi cient non-destructive technique for rapidly analysing Japanese table grapequalities in laboratory and fi eld settings.