@article{812,
author = "Mequannit Aklilu",
abstract = "The extent of genetic diversity among genotypes and arranging into similar groups have great importance in plant breeding issue.  The objective of this study was to estimate the genetic diversity of 36 low land rice genotypes based on quantitative morphological traits. The experiment was taken during 2017 in two locations Teppi and Fogera using 6*6 simple lattice design. Cluster analysis, distance analysis and principal component analysis were done using the SAS software version 9.2. The first five principal components with eigenvalues greater than one explained 80 % of the total variation and the first two principal components contributed 53% for the total variance in rain fed low land rice genotypes. The cluster analysis grouped the genotypes into four major groups consisting of one to 18 genotypes. Cluster and distance analysis of quantitative characters based on multivariate analysis pointed out the existence of four divergent groups. The maximum squared distance was found between cluster three and four (D2= 4601.87) followed by cluster two and four (D2=3075.59), while the minimum was obtained between cluster two and three (D2= 1647.9). The present study indicated sufficient amount of genetic variability for the characters studied in rain fed low land rice genotype, which will create opportunity for future improvement. Further study with the help of molecular techniques is recommended.",
issn = "23483997",
journal = "IJRAS",
keywords = "Diversity, Genetic, Genotype, Morphological Trait",
month = "November",
number = "6",
pages = "209-218",
title = "{G}enetic {D}iversity {S}tudy on {L}ow {L}and {R}ice ({O}ryza {S}ativa {L}.) {G}enotypes {B}ased on {M}orphological {T}raits in {T}eppi and {F}ogera, {E}thiopia",
volume = "6",
year = "2019",
}