Genetic Variability and Association of Traits in Bread Wheat (Triticum aestivum L.) Genotypes in Gechi District, South West Ethiopia

Bread wheat is the world’s leading cereal grain, and more than one-third of the world’s population uses it as a staple food. The bread wheat production in Ethiopia is low compsssared to the national average yield, mainly due to the lack of high-yielding genotypes. This study was conducted during the...

Full description

Saved in:
Bibliographic Details
Main Authors: Garome Shifaraw Geneti, Sentayehu Alamerew Kebede, Techale Birhan Mekonnen
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Agriculture
Online Access:http://dx.doi.org/10.1155/2022/7132424
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832552913989271552
author Garome Shifaraw Geneti
Sentayehu Alamerew Kebede
Techale Birhan Mekonnen
author_facet Garome Shifaraw Geneti
Sentayehu Alamerew Kebede
Techale Birhan Mekonnen
author_sort Garome Shifaraw Geneti
collection DOAJ
description Bread wheat is the world’s leading cereal grain, and more than one-third of the world’s population uses it as a staple food. The bread wheat production in Ethiopia is low compsssared to the national average yield, mainly due to the lack of high-yielding genotypes. This study was conducted during the 2019-2020 growing season to assess genetic variability and estimate the association of traits among bread wheat genotypes. The experiment consists of 49 bread wheat genotypes and is laid out in 7 × 7 simple lattice designs. The results showed significant differences (p < 0.01) among genotypes for most of the studied traits. Moderate genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) values were estimated for yield plant −1, thousand seed weight, and biomass yield. High heritability coupled with a high GAM was observed for thousand seed weight and yield plant –1. The grain yield showed a highly significant (p < 0.01) correlation with many yield-related traits at the phenotypic and genotypic levels. The biomass yield and the harvest index exerted the highest positive direct effect on grain yield at the genotypic level. The highest intercluster distance was observed between clusters I and IV (D2 = 31.86∗∗), followed by clusters II and IV (D2 = 29.21∗), and clusters II and III (D2 = 28.24∗), which indicated the chance of selecting a member of these clusters for hybridization. This experiment’s result indicates sufficient genetic variability among the tested genotypes, which provides ample scope for selecting superior and desired genotypes. Best-performed genotypes should be included in the future breeding program for further yield improvement. In conclusion, attention should be given to traits with moderate to high heritability and GAM, exerting a positive direct effect on the grain yield. However, the experiment should be repeated over locations and seasons to draw a definite conclusion.
format Article
id doaj-art-59c3bf5cc1b742bba498c53e9bba28e0
institution Kabale University
issn 2314-7539
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Advances in Agriculture
spelling doaj-art-59c3bf5cc1b742bba498c53e9bba28e02025-02-03T05:57:30ZengWileyAdvances in Agriculture2314-75392022-01-01202210.1155/2022/7132424Genetic Variability and Association of Traits in Bread Wheat (Triticum aestivum L.) Genotypes in Gechi District, South West EthiopiaGarome Shifaraw Geneti0Sentayehu Alamerew Kebede1Techale Birhan Mekonnen2Mettu UniversityJimma UniversityJimma UniversityBread wheat is the world’s leading cereal grain, and more than one-third of the world’s population uses it as a staple food. The bread wheat production in Ethiopia is low compsssared to the national average yield, mainly due to the lack of high-yielding genotypes. This study was conducted during the 2019-2020 growing season to assess genetic variability and estimate the association of traits among bread wheat genotypes. The experiment consists of 49 bread wheat genotypes and is laid out in 7 × 7 simple lattice designs. The results showed significant differences (p < 0.01) among genotypes for most of the studied traits. Moderate genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) values were estimated for yield plant −1, thousand seed weight, and biomass yield. High heritability coupled with a high GAM was observed for thousand seed weight and yield plant –1. The grain yield showed a highly significant (p < 0.01) correlation with many yield-related traits at the phenotypic and genotypic levels. The biomass yield and the harvest index exerted the highest positive direct effect on grain yield at the genotypic level. The highest intercluster distance was observed between clusters I and IV (D2 = 31.86∗∗), followed by clusters II and IV (D2 = 29.21∗), and clusters II and III (D2 = 28.24∗), which indicated the chance of selecting a member of these clusters for hybridization. This experiment’s result indicates sufficient genetic variability among the tested genotypes, which provides ample scope for selecting superior and desired genotypes. Best-performed genotypes should be included in the future breeding program for further yield improvement. In conclusion, attention should be given to traits with moderate to high heritability and GAM, exerting a positive direct effect on the grain yield. However, the experiment should be repeated over locations and seasons to draw a definite conclusion.http://dx.doi.org/10.1155/2022/7132424
spellingShingle Garome Shifaraw Geneti
Sentayehu Alamerew Kebede
Techale Birhan Mekonnen
Genetic Variability and Association of Traits in Bread Wheat (Triticum aestivum L.) Genotypes in Gechi District, South West Ethiopia
Advances in Agriculture
title Genetic Variability and Association of Traits in Bread Wheat (Triticum aestivum L.) Genotypes in Gechi District, South West Ethiopia
title_full Genetic Variability and Association of Traits in Bread Wheat (Triticum aestivum L.) Genotypes in Gechi District, South West Ethiopia
title_fullStr Genetic Variability and Association of Traits in Bread Wheat (Triticum aestivum L.) Genotypes in Gechi District, South West Ethiopia
title_full_unstemmed Genetic Variability and Association of Traits in Bread Wheat (Triticum aestivum L.) Genotypes in Gechi District, South West Ethiopia
title_short Genetic Variability and Association of Traits in Bread Wheat (Triticum aestivum L.) Genotypes in Gechi District, South West Ethiopia
title_sort genetic variability and association of traits in bread wheat triticum aestivum l genotypes in gechi district south west ethiopia
url http://dx.doi.org/10.1155/2022/7132424
work_keys_str_mv AT garomeshifarawgeneti geneticvariabilityandassociationoftraitsinbreadwheattriticumaestivumlgenotypesingechidistrictsouthwestethiopia
AT sentayehualamerewkebede geneticvariabilityandassociationoftraitsinbreadwheattriticumaestivumlgenotypesingechidistrictsouthwestethiopia
AT techalebirhanmekonnen geneticvariabilityandassociationoftraitsinbreadwheattriticumaestivumlgenotypesingechidistrictsouthwestethiopia