Analysis of Genetic Variability Among Bread Wheat (<i>Triticum aestivum</i> L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State

Obsa Chimdesa; Wassu Mohammed; Firdissa Eticha

doi:doi:10.11648/j.aff.20170606.12

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Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State

Obsa Chimdesa, Wassu Mohammed, Firdissa Eticha

Published in Agriculture, Forestry and Fisheries (Volume 6, Issue 6)

Received: 19 April 2017 Accepted: 30 August 2017 Published: 17 October 2017

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Abstract

In Ethiopia, a number of improved bread wheat (Triticum aestivum L.) varieties have been released by different research centres. All of these varieties were, however, not evaluated in Bore District for growth, yield and yield components which are necessary for identification of adaptable varieties for this major wheat growing District. Field experiments was conducted in 2013/14 cropping season by utilizing 21 released varieties and 4 promising lines using Randomized Complete Block Design where genotypes were replicated three times and 14 characters were recorded. Results of the analysis of variance revealed that genotypes were differed significantly for all characters studied. Genotypic coefficient of variation (GCV) ranged from 4.59 (days to maturity) to 13.76% (grain yield per hectare), while phenotypic coefficient of variation (PCV) ranged between 5.03 (days to maturity) to 20.85% (grain yield per hectare). Heritability in broad sense and genetic advance as percent of mean (GAM) ranged from 33.33% (Tillers per plant) to 84.67% (Peduncle length) and 8.66% (Days to maturity) to 18.74% (grain yield per hectare), respectively. Grain yield per hectare was positively correlated with biological yield per plot and harvest index, but was negatively correlated with peduncle length both at genotypic and phenotypic level. The computed path coefficient for yield showed that days to maturity, number of productive tillers, and biological yield per plot, harvest index, and spike length had positive direct effect, while days to heading and grain filling period, had high negative direct effect at both genotypic and phenotypic levels. Generally, it has been observed the presence of variability among the genotypes studied and 18.74% grain yield gain is possible by exerting 5% selection intensity which can be exploited to improve yield in the District.

Published in	Agriculture, Forestry and Fisheries (Volume 6, Issue 6)
DOI	10.11648/j.aff.20170606.12
Page(s)	188-199
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Bread Wheat, Genetic Variability, GCV, PCV, Heritability, Path Coefficient, Yield Component

References

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Obsa Chimdesa, Wassu Mohammed, Firdissa Eticha. (2017). Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State. Agriculture, Forestry and Fisheries, 6(6), 188-199. https://doi.org/10.11648/j.aff.20170606.12

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ACS Style

Obsa Chimdesa; Wassu Mohammed; Firdissa Eticha. Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State. Agric. For. Fish. 2017, 6(6), 188-199. doi: 10.11648/j.aff.20170606.12

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AMA Style

Obsa Chimdesa, Wassu Mohammed, Firdissa Eticha. Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State. Agric For Fish. 2017;6(6):188-199. doi: 10.11648/j.aff.20170606.12

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@article{10.11648/j.aff.20170606.12,
  author = {Obsa Chimdesa and Wassu Mohammed and Firdissa Eticha},
  title = {Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State},
  journal = {Agriculture, Forestry and Fisheries},
  volume = {6},
  number = {6},
  pages = {188-199},
  doi = {10.11648/j.aff.20170606.12},
  url = {https://doi.org/10.11648/j.aff.20170606.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20170606.12},
  abstract = {In Ethiopia, a number of improved bread wheat (Triticum aestivum L.) varieties have been released by different research centres. All of these varieties were, however, not evaluated in Bore District for growth, yield and yield components which are necessary for identification of adaptable varieties for this major wheat growing District. Field experiments was conducted in 2013/14 cropping season by utilizing 21 released varieties and 4 promising lines using Randomized Complete Block Design where genotypes were replicated three times and 14 characters were recorded. Results of the analysis of variance revealed that genotypes were differed significantly for all characters studied. Genotypic coefficient of variation (GCV) ranged from 4.59 (days to maturity) to 13.76% (grain yield per hectare), while phenotypic coefficient of variation (PCV) ranged between 5.03 (days to maturity) to 20.85% (grain yield per hectare). Heritability in broad sense and genetic advance as percent of mean (GAM) ranged from 33.33% (Tillers per plant) to 84.67% (Peduncle length) and 8.66% (Days to maturity) to 18.74% (grain yield per hectare), respectively. Grain yield per hectare was positively correlated with biological yield per plot and harvest index, but was negatively correlated with peduncle length both at genotypic and phenotypic level. The computed path coefficient for yield showed that days to maturity, number of productive tillers, and biological yield per plot, harvest index, and spike length had positive direct effect, while days to heading and grain filling period, had high negative direct effect at both genotypic and phenotypic levels. Generally, it has been observed the presence of variability among the genotypes studied and 18.74% grain yield gain is possible by exerting 5% selection intensity which can be exploited to improve yield in the District.},
 year = {2017}
}

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TY  - JOUR
T1  - Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State
AU  - Obsa Chimdesa
AU  - Wassu Mohammed
AU  - Firdissa Eticha
Y1  - 2017/10/17
PY  - 2017
N1  - https://doi.org/10.11648/j.aff.20170606.12
DO  - 10.11648/j.aff.20170606.12
T2  - Agriculture, Forestry and Fisheries
JF  - Agriculture, Forestry and Fisheries
JO  - Agriculture, Forestry and Fisheries
SP  - 188
EP  - 199
PB  - Science Publishing Group
SN  - 2328-5648
UR  - https://doi.org/10.11648/j.aff.20170606.12
AB  - In Ethiopia, a number of improved bread wheat (Triticum aestivum L.) varieties have been released by different research centres. All of these varieties were, however, not evaluated in Bore District for growth, yield and yield components which are necessary for identification of adaptable varieties for this major wheat growing District. Field experiments was conducted in 2013/14 cropping season by utilizing 21 released varieties and 4 promising lines using Randomized Complete Block Design where genotypes were replicated three times and 14 characters were recorded. Results of the analysis of variance revealed that genotypes were differed significantly for all characters studied. Genotypic coefficient of variation (GCV) ranged from 4.59 (days to maturity) to 13.76% (grain yield per hectare), while phenotypic coefficient of variation (PCV) ranged between 5.03 (days to maturity) to 20.85% (grain yield per hectare). Heritability in broad sense and genetic advance as percent of mean (GAM) ranged from 33.33% (Tillers per plant) to 84.67% (Peduncle length) and 8.66% (Days to maturity) to 18.74% (grain yield per hectare), respectively. Grain yield per hectare was positively correlated with biological yield per plot and harvest index, but was negatively correlated with peduncle length both at genotypic and phenotypic level. The computed path coefficient for yield showed that days to maturity, number of productive tillers, and biological yield per plot, harvest index, and spike length had positive direct effect, while days to heading and grain filling period, had high negative direct effect at both genotypic and phenotypic levels. Generally, it has been observed the presence of variability among the genotypes studied and 18.74% grain yield gain is possible by exerting 5% selection intensity which can be exploited to improve yield in the District.
VL  - 6
IS  - 6
ER  -

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Author Information

Obsa Chimdesa

Oromia Agricultural Research Institute Bore Agricultural Research Center, Bore, Ethiopia
Wassu Mohammed

College of Agriculture and Environmental Sciences, School of Graduate Studies, Haramaya University, Dire Dawa, Ethiopia
Firdissa Eticha

Ethiopia Agricultural Research Institute, Kulumsa Agricultural Research Centre, Asella, Ethiopia

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Obsa Chimdesa, Wassu Mohammed, Firdissa Eticha. (2017). Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State. Agriculture, Forestry and Fisheries, 6(6), 188-199. https://doi.org/10.11648/j.aff.20170606.12

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ACS Style

Obsa Chimdesa; Wassu Mohammed; Firdissa Eticha. Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State. Agric. For. Fish. 2017, 6(6), 188-199. doi: 10.11648/j.aff.20170606.12

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AMA Style

Obsa Chimdesa, Wassu Mohammed, Firdissa Eticha. Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State. Agric For Fish. 2017;6(6):188-199. doi: 10.11648/j.aff.20170606.12

Copy | Download

@article{10.11648/j.aff.20170606.12,
  author = {Obsa Chimdesa and Wassu Mohammed and Firdissa Eticha},
  title = {Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State},
  journal = {Agriculture, Forestry and Fisheries},
  volume = {6},
  number = {6},
  pages = {188-199},
  doi = {10.11648/j.aff.20170606.12},
  url = {https://doi.org/10.11648/j.aff.20170606.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20170606.12},
  abstract = {In Ethiopia, a number of improved bread wheat (Triticum aestivum L.) varieties have been released by different research centres. All of these varieties were, however, not evaluated in Bore District for growth, yield and yield components which are necessary for identification of adaptable varieties for this major wheat growing District. Field experiments was conducted in 2013/14 cropping season by utilizing 21 released varieties and 4 promising lines using Randomized Complete Block Design where genotypes were replicated three times and 14 characters were recorded. Results of the analysis of variance revealed that genotypes were differed significantly for all characters studied. Genotypic coefficient of variation (GCV) ranged from 4.59 (days to maturity) to 13.76% (grain yield per hectare), while phenotypic coefficient of variation (PCV) ranged between 5.03 (days to maturity) to 20.85% (grain yield per hectare). Heritability in broad sense and genetic advance as percent of mean (GAM) ranged from 33.33% (Tillers per plant) to 84.67% (Peduncle length) and 8.66% (Days to maturity) to 18.74% (grain yield per hectare), respectively. Grain yield per hectare was positively correlated with biological yield per plot and harvest index, but was negatively correlated with peduncle length both at genotypic and phenotypic level. The computed path coefficient for yield showed that days to maturity, number of productive tillers, and biological yield per plot, harvest index, and spike length had positive direct effect, while days to heading and grain filling period, had high negative direct effect at both genotypic and phenotypic levels. Generally, it has been observed the presence of variability among the genotypes studied and 18.74% grain yield gain is possible by exerting 5% selection intensity which can be exploited to improve yield in the District.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State
AU  - Obsa Chimdesa
AU  - Wassu Mohammed
AU  - Firdissa Eticha
Y1  - 2017/10/17
PY  - 2017
N1  - https://doi.org/10.11648/j.aff.20170606.12
DO  - 10.11648/j.aff.20170606.12
T2  - Agriculture, Forestry and Fisheries
JF  - Agriculture, Forestry and Fisheries
JO  - Agriculture, Forestry and Fisheries
SP  - 188
EP  - 199
PB  - Science Publishing Group
SN  - 2328-5648
UR  - https://doi.org/10.11648/j.aff.20170606.12
AB  - In Ethiopia, a number of improved bread wheat (Triticum aestivum L.) varieties have been released by different research centres. All of these varieties were, however, not evaluated in Bore District for growth, yield and yield components which are necessary for identification of adaptable varieties for this major wheat growing District. Field experiments was conducted in 2013/14 cropping season by utilizing 21 released varieties and 4 promising lines using Randomized Complete Block Design where genotypes were replicated three times and 14 characters were recorded. Results of the analysis of variance revealed that genotypes were differed significantly for all characters studied. Genotypic coefficient of variation (GCV) ranged from 4.59 (days to maturity) to 13.76% (grain yield per hectare), while phenotypic coefficient of variation (PCV) ranged between 5.03 (days to maturity) to 20.85% (grain yield per hectare). Heritability in broad sense and genetic advance as percent of mean (GAM) ranged from 33.33% (Tillers per plant) to 84.67% (Peduncle length) and 8.66% (Days to maturity) to 18.74% (grain yield per hectare), respectively. Grain yield per hectare was positively correlated with biological yield per plot and harvest index, but was negatively correlated with peduncle length both at genotypic and phenotypic level. The computed path coefficient for yield showed that days to maturity, number of productive tillers, and biological yield per plot, harvest index, and spike length had positive direct effect, while days to heading and grain filling period, had high negative direct effect at both genotypic and phenotypic levels. Generally, it has been observed the presence of variability among the genotypes studied and 18.74% grain yield gain is possible by exerting 5% selection intensity which can be exploited to improve yield in the District.
VL  - 6
IS  - 6
ER  -

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