Data in Brief | |
Dataset of agromorphological traits in early population of turmeric (Curcuma longa L.) local accessions from Indonesia | |
Tresna Kusuma Putri1  Debby Ustari2  Putri Ardhya Anindita3  Agung Karuniawan3  Vergel Concibido3  Meddy Rachmadi4  Haris Maulana4  Tarkus Suganda5  | |
[1] Corresponding authors.;Bioresources Management, Graduate School, Universitas Padjadjaran, Bandung, Indonesia;Faculty of Agriculture, Universitas Padjadjaran, Bandung, Indonesia;PhD. Students, Faculty of Agriculture, Universitas Padjadjaran, Bandung, Indonesia;Sensient Colors, LLC, 2515 North Jefferson Avenue, St. Louis, MO, United States; | |
关键词: Agronomic traits; Genetic resources; Indonesia; Morphological traits; Phenotypic diversity; Turmeric; | |
DOI : | |
来源: DOAJ |
【 摘 要 】
Turmeric (Curcuma longa L.) is widely used as traditional medicine, kitchen spice, and natural dyes in Indonesia. The demand and popularity of this plant is increasing; however, the national supply is still low. Turmeric breeding and crop improvement in Indonesia are needed to boost the national turmeric production. Exploration of turmeric from various areas in Indonesia is a prior step of turmeric breeding. Phenotypic diversity and relationship analysis of an early population can be used as a basis for consideration in plant development and breeding programs. The purpose of this study was to estimate phenotypic diversity and relationship of local turmeric accessions from Indonesia. Raw data analysis was conducted after standardization using Principal Component Analysis (PCA) and Hierarchical Clustering Analysis (HCA) to determine phenotypic diversity and relationship among the newly collected genetic resources. The data in this article showed broad phenotypic diversity with plant height, number of shoots, number of leaves on main shoot, petiole length, lamina length, lamina width, number of mother rhizome, total rhizome weight, weight per shoot, pseudostem habit, leaf margin, and rhizome habit as distinguishing traits among the collection. PCA also resulted cumulative variation percentage of 70.73%. In addition, HCA resulted two main groups with the Euclidean range of 0.31—2.97.
【 授权许可】
Unknown