Pelita Perkebunan
Vol 23 No 2 (2007)

Selection of Superior Genotypes of Coffea Canephora Pierre on ControlledHybrid Population Using Cluster Analysis Method

Ucu Sumirat (Indonesian Coffee and Cocoa Research Institute)
Priyono , (Indonesian Coffee and Cocoa Research Institute)
Surip Mawardi (Indonesian Coffee and Cocoa Research Institute)



Article Info

Publish Date
01 May 2007

Abstract

Selection of superior genotypes of robusta coffee (Coffea canephora) to improve its important agronomic characters should be conducted continuously to get better planting productivity. The aim of this research was to select superior genotypes of Robusta coffee for high yield and high proportion of large bean. Selection was conducted on controlled hybrid populations, developed from three crossing parental clones, i.e. BP 961 x Q 121 (A), BP 409 x Q 121 (B) and BP 961 x BP 409 (C). Selection was done by applying cluster analysis with complete linkage and Euclidean distance as the clustering method. The result of the research showed that the selection was successful to identify superior genotypes of Robusta coffee for high yield and high proportion of large bean. The parameters used (cherries weight/tree, bean weight/tree, bean size percentage > 6.5 mm and 100 cherries weight) were effective in clustering the superior genotypes, indicated by increased minimum and average value of population. Yield potential and percentage of bean size > 6.5 mm of those genotypes were having better performance than the control genotype and its parent. The selection code A 95, B 28, B 62, B 66, B 74 and C 38 were considered  as promising superior genotypes of Robusta coffee, respectively. Key words: Coffea canephora, selection, bean size, yield, cluster analysis

Copyrights © 2007






Journal Info

Abbrev

ccrj

Publisher

Subject

Agriculture, Biological Sciences & Forestry

Description

Pelita Perkebunan, Coffee and Cocoa Research Journal (CCRJ): ISSN:0215-0212 Since its establishment in 1911, Indonesian Coffee and Cocoa Research Institute (ICCRI) formerly Besoekisch Proefstation, had published its research findings through a journal call Mededelingen van het Besoekisch ...