著者
Hiroshi Fujii Satoshi Ohta Keisuke Nonaka Yuichi Katayose Toshimi Matsumoto Tomoko Endo Terutaka Yoshioka Mitsuo Omura Takehiko Shimada
出版者
日本育種学会
雑誌
Breeding Science (ISSN:13447610)
巻号頁・発行日
pp.16060, (Released:2016-10-15)
被引用文献数
9

Satsuma mandarins (Citrus unshiu Marc.) are the predominant cultivated citrus variety in Japan. Clarification of its origin would prove valuable for citrus taxonomy and mandarin breeding programs; however, current information is limited. We applied genome-wide genotyping using a 384 citrus single nucleotide polymorphism (SNP) array and MARCO computer software to investigate the satsuma mandarin parentage. Genotyping data from 206 validated SNPs were obtained to evaluate 67 citrus varieties and lines. A total of five parent–offspring relationships were newly found by MARCO based on the 206 SNP genotypes, indicating that ‘Kishuu mikan’ type mandarins (Citrus kinokuni hort. ex Tanaka accession ‘Kishuu mikan’ and ‘Nanfengmiju’) and ‘Kunenbo’ type mandarins (Citrus nobilis Lour. var. kunip Tanaka accession ‘Kunenbo’ and ‘Bendiguangju’) are possible parents of the satsuma mandarin. Moreover, cleaved amplified polymorphic sequences analysis showed that the genotypes of four regions in chloroplast DNA of ‘Kishuu mikan’ type mandarins were identical to that of the satsuma mandarin. Considering the historical background, satsuma mandarins may therefore derive from an occasional cross between a ‘Kishuu mikan’ type mandarin seed parent (derivative or synonym of ‘Nanfengmiju’) and a ‘Kunenbo’ type mandarin pollen parent (derivative or synonym of ‘Bendiguangju’).
著者
太田 聡 太田 真理 Satoshi OHTA Shinri OHTA
出版者
国立国語研究所
雑誌
国立国語研究所論集 (ISSN:2186134X)
巻号頁・発行日
no.10, pp.179-191, 2016-01

連濁はもっとも広く知られた日本語の音韻現象の1つである。先行研究では,日本語の複合語は連濁の生起率の違いに基づいて,いくつかのグループに分類されることが提案されている。しかしながら先行研究では,連濁生起率の分類基準が恣意的であった点,またグループの数をあらかじめ仮定していた点に問題があった。そこで本研究では,混合正規分布モデルに基づくクラスター分析と連濁データベース(Irwin and Miyashita 2015)を用いて,日本語複合語を分類する際の最適な分類基準とクラスター数を検討した。複合名詞と複合動詞のどちらも,2つのクラスターを仮定したモデルが最適であり,クラスター同士の分類基準は,複合名詞では連濁生起率が90%,複合動詞では40%であった。これらの結果は先行研究のクラスター数や分類基準とは異なるものであった。我々の結果は,モデルに基づくクラスター分析が言語データに対する最適な分類を行う上で非常に有効であることを示すものである。Rendaku is one of the most well-known phonological phenomena in Japanese, which voices the initial obstruent of the second element of a compound. Previous studies have proposed that Japanese compound words can be classified on the basis of the frequency of rendaku (rendaku rate). However, since these studies used arbitrary criteria to determine clusters, such as 33% and 66%, as well as arbitrary numbers of clusters, it is crucial to examine the plausibility of such criteria. In this study, we examined the optimal boundary criteria as well as the optimal number of clusters using a clustering analysis based on Gaussian mixture modeling and the Rendaku Database (Irwin and Miyashita 2015). The cluster analyses clarified that the two-cluster model was optimal for classifying both compound nouns and compound verbs. The boundary values of the rendaku rate for these clusters were approximately 90% and 40% for the compound nouns and compound verbs, respectively. These results were inconsistent with the findings of previous studies. Our findings demonstrate that model-based clustering analysis is an effective method of determining optimal classification of linguistic data.