COMPARATIVE ANALYSIS RESULT OF LOCAL PADDY KINSHIP BASED ON QUANTITATIVE AND QUALITATIVE CHARACTERS

  • Wage Ratna Rohaeni Balai Besar Penelitian Padi
  • Nani Yunani Balai Besar Penelitian Padi
Keywords: local paddy, kinship analysis, qualitative characters, quantitative characters

Abstract

Morpho-agronomic characters consist of two types of qualitative and quantitative characters. Qualitative characters were discontinuous and score data form, while the quantitative are continuous and measurable. Kinship analysis is important for breeders to know the genetic distance between genotypes. Allegedly there are differences in the genetic kinship analysis between based on data from qualitative to quantitative character. The aim of this study was to compare the results of the analysis of kinship based on quantitative and qualitative data on phenotypic characterization of local rice. A total of 43 local rice from West Java was used on phenotypic characterization activities. The research was done at Sukamandi experiment station of ICRR (Indonesian Rice Research Institute) on 2014. Qualitative characters were observed as many as 24 characters, and quantitative as many as 23 characters. Analysis of data was by using Minitab version 14. The results indicate that kinship analysis results using data from qualitative, quantitative or a combination of both was not significantly different at the component level analysis of the number of clusters and similarity but there were real differences in the level of genetic distance. Dendogram based on qualitative characters was different than based on quantitative character. Analysis of kinship between genotype recommended using a data combination of qualitative and quantitative character that the genetic distance between genotype information more accurately

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Published
2017-12-11
How to Cite
Rohaeni, W., & Yunani, N. (2017). COMPARATIVE ANALYSIS RESULT OF LOCAL PADDY KINSHIP BASED ON QUANTITATIVE AND QUALITATIVE CHARACTERS. Agric, 29(2), 89-102. https://doi.org/https://doi.org/10.24246/agric.2017.v29.i2.p89-102
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Articles