Journal of Bioscience and Agriculture Research |
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RESEARCH ARTICLE:
Hierarchical cluster, euclidean distance and principal component analysis based on phenotypic characters of hosta
Hasan Mehraj (1,2) and Kazuhiko Shimasaki (2)
1The United Graduate School of Agricultural Sciences, Ehime University, Ehime 790-8556, Japan
2Lab of Vegetable and Floricultural Science, Faculty of Agriculture, Kochi University, B200 Monobe, Nankoku, Kochi 783-8502, Japan
J. bios. agric. res. | Volume 12, Issue 02, pp. 1029-1035 | Available online: 25 February 2016.
Crossref: https://doi.org/10.18801/jbar.120217.125
Hierarchical cluster, euclidean distance and principal component analysis based on phenotypic characters of hosta
Hasan Mehraj (1,2) and Kazuhiko Shimasaki (2)
1The United Graduate School of Agricultural Sciences, Ehime University, Ehime 790-8556, Japan
2Lab of Vegetable and Floricultural Science, Faculty of Agriculture, Kochi University, B200 Monobe, Nankoku, Kochi 783-8502, Japan
J. bios. agric. res. | Volume 12, Issue 02, pp. 1029-1035 | Available online: 25 February 2016.
Crossref: https://doi.org/10.18801/jbar.120217.125
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Title: Hierarchical cluster, euclidean distance and principal component analysis based on phenotypic characters of hosta
Abstract: Hosta is a widely grown ornamental plants and sometimes used as vegetables. Hybridization of hostas is frequently done by home gardener. We conducted an experiment using twelve hosta taxa (coded from T1-T12) to analyze the morphological traits based hierarchical cluster, euclidean distance and PCA with a view to provide necessary information to the hosta breeders. We used complete randomized design with five replicates for the data collection of morphological traits. H. sieboldiana and H. montana had similar morphological characters while H. longipes var. gracillima, H. kiyosumiensis were mostly similar morphological characters as well. From the dissimilarity analysis, it was found that the dissimilarity distance between H. alismifolia and H. montana was maximum (452.2) which was closely followed by H. longissima and H. montana (447.6) where as minimum dissimilarity distance between H. sieboldii and H. nakaiana (36.2). PCA indicated that two important components accounted for 97.76% of the total variation among traits in of hosta taxa. The first and second component contributed 81.92% and 15.84% of the total variation, respectively. Leaf area was found as a unique morphological trait. H. sieboldiana, H. montana and H. longipes var. gracillima shared the common components; as well as H. alismifolia with H. longissima, H. sieboldii with H. nakaiana and H. tardiva with H. longipes var. caduca comprised common components. Overall, results revealed importance morphological components in breeding ability in hosta taxa.
Key Words: Plantain lily, Giboshi, Taxa, Dendrogram, Proximity distance matrix and PCA
Abstract: Hosta is a widely grown ornamental plants and sometimes used as vegetables. Hybridization of hostas is frequently done by home gardener. We conducted an experiment using twelve hosta taxa (coded from T1-T12) to analyze the morphological traits based hierarchical cluster, euclidean distance and PCA with a view to provide necessary information to the hosta breeders. We used complete randomized design with five replicates for the data collection of morphological traits. H. sieboldiana and H. montana had similar morphological characters while H. longipes var. gracillima, H. kiyosumiensis were mostly similar morphological characters as well. From the dissimilarity analysis, it was found that the dissimilarity distance between H. alismifolia and H. montana was maximum (452.2) which was closely followed by H. longissima and H. montana (447.6) where as minimum dissimilarity distance between H. sieboldii and H. nakaiana (36.2). PCA indicated that two important components accounted for 97.76% of the total variation among traits in of hosta taxa. The first and second component contributed 81.92% and 15.84% of the total variation, respectively. Leaf area was found as a unique morphological trait. H. sieboldiana, H. montana and H. longipes var. gracillima shared the common components; as well as H. alismifolia with H. longissima, H. sieboldii with H. nakaiana and H. tardiva with H. longipes var. caduca comprised common components. Overall, results revealed importance morphological components in breeding ability in hosta taxa.
Key Words: Plantain lily, Giboshi, Taxa, Dendrogram, Proximity distance matrix and PCA
HOW TO CITE THIS ARTICLE?
APA (American Psychological Association)
Mehraj, H. and Shimasaki, K. (2017). Hierarchical cluster, euclidean distance and principal component analysis based on phenotypic characters of hosta. Journal of Bioscience and Agriculture Research,12(02), 1029-1035.
MLA (Modern Language Association)
Mehraj, H. and Shimasaki, K. “Hierarchical cluster, euclidean distance and principal component analysis based on phenotypic characters of hosta”. Journal of Bioscience and Agriculture Research, 12.02(2017), 1029-1035.
Chicago and orTurabian
Mehraj, H. and Shimasaki, K. “Hierarchical cluster, euclidean distance and principal component analysis based on phenotypic characters of hosta”. Journal of Bioscience and Agriculture Research, 11. no. 01(2016), 1029-1035.
APA (American Psychological Association)
Mehraj, H. and Shimasaki, K. (2017). Hierarchical cluster, euclidean distance and principal component analysis based on phenotypic characters of hosta. Journal of Bioscience and Agriculture Research,12(02), 1029-1035.
MLA (Modern Language Association)
Mehraj, H. and Shimasaki, K. “Hierarchical cluster, euclidean distance and principal component analysis based on phenotypic characters of hosta”. Journal of Bioscience and Agriculture Research, 12.02(2017), 1029-1035.
Chicago and orTurabian
Mehraj, H. and Shimasaki, K. “Hierarchical cluster, euclidean distance and principal component analysis based on phenotypic characters of hosta”. Journal of Bioscience and Agriculture Research, 11. no. 01(2016), 1029-1035.
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