Morphological Characterization and Multivariate Analysis of Rain Fed Rice (Oryza sativa L) Genotypes in Northwest Ethiopia

Over the years, more than 3336 rice genotypes were introduced into Ethiopia from different countries and evaluated for diseases reaction and agronomic traits. However, morphological characteristics and relationships were not well investigated among genotypes. Hence, the objective of this study was to characterize 100 rice genotypes morphologically for better identification and to classify genotypes relationships. The experiment was done using triple lattice design with 10×10 in 2021/22 main cropping season. Twenty-five qualitative morphological traits were used to characterize and 13 quantitative traits were used to categorize relationships of the studied rice genotypes. The Shannon Weaver diversity index of qualitative traits were varied from 0 to 1. Moreover, based on quantitative traits the studied rain fed rice genotypes were grouped into four distinct clusters and four principal components with Eigen value >1 were contributed 78.99% of the total variation. We recommend crossing cluster I with IV genotypes to get early-maturing besides moderate grain yield variety for short rainfall season areas. And cross cluster III with IV genotypes to get medium matured, high filled spikelet per panicle, augmented harvest index, biomass and grain yield variety for long rainfall season areas.

Authors

Institutions

Publication Details

Journal
Turkish Journal of Agriculture - Food Science and Technology
Published
2025-02-28
DOI
https://doi.org/10.24925/turjaf.v13i2.423-438.7274
Citations
1
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
1.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Morphological Characterization and Multivariate Analysis of Rain Fed Rice (Oryza sativa L) Genotypes in Northwest Ethiopia

Tiegist Dejene Abebe, Alemu Mekonnen
1 citations
Turkish Journal of Agriculture - Food Science and Technology
Rice Cultivation and Yield Improvement
1.75
article

Morphological Characterization and Multivariate Analysis of Rain Fed Rice (Oryza sativa L) Genotypes in Northwest Ethiopia

Tiegist Dejene Abebe, Alemu Mekonnen
article en
1 citations

Abstract

Over the years, more than 3336 rice genotypes were introduced into Ethiopia from different countries and evaluated for diseases reaction and agronomic traits. However, morphological characteristics and relationships were not well investigated among genotypes. Hence, the objective of this study was to characterize 100 rice genotypes morphologically for better identification and to classify genotypes relationships. The experiment was done using triple lattice design with 10×10 in 2021/22 main cropping season. Twenty-five qualitative morphological traits were used to characterize and 13 quantitative traits were used to categorize relationships of the studied rice genotypes. The Shannon Weaver diversity index of qualitative traits were varied from 0 to 1. Moreover, based on quantitative traits the studied rain fed rice genotypes were grouped into four distinct clusters and four principal components with Eigen value >1 were contributed 78.99% of the total variation. We recommend crossing cluster I with IV genotypes to get early-maturing besides moderate grain yield variety for short rainfall season areas. And cross cluster III with IV genotypes to get medium matured, high filled spikelet per panicle, augmented harvest index, biomass and grain yield variety for long rainfall season areas.

Turkish Journal of Agriculture - Food Science and TechnologyVol. 13(2)
Ethiopian Institute of Agricultural Research (ET), Bahir Dar University (ET)
Openalex Percentile: Top 17%
Rice Cultivation and Yield Improvement
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.