Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia

Tafesse Solomon

doi:doi:10.11648/j.cb.20210902.11

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Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia

Tafesse Solomon

Published in Cell Biology (Volume 9, Issue 2)

Received: 3 July 2021 Accepted: 19 July 2021 Published: 28 July 2021

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Abstract

Grain yield is a complex quantitative trait which is influenced by a number of yield contributing traits. To improve grain yield in wheat, selection of genotypes should not only be based on grain yield alone, and the other grain yield components should also be considered. Twenty-three advanced bread wheat genotypes from the national wheat research breeding program; two released bread wheat varieties in Ethiopia; a total of twenty-five genotypes used in this study. The experiment was conducted in square lattice design with three replication over five locations for two consecutive years, in 2018 and 2019 main cropping seasons. The total experimental unit was 2.5m x 1.2m = 3m². Overall results from correlations showed a higher genotypic correlation than the corresponding phenotypic correlation for most of the traits. The genotypic correlation between Grain yield and Plant height (r_g=0.51**); between grain yield and thousand kernel weight (rg=0.73**); and between grain yield and hectoliter weight (r_g= 0.52**) are highly significant at (P<0.01) (table 3). The highest phenotypic correlation found between thousand kernel weight and grain yield (r_p=0.68**) followed by the phenotypic correlation between hectoliter weight and grain yield (r_p=0.57**) (Table 5). The date of maturity, Plant height, Thousand Kernel Weight, and HectoLiter Weight had a positive direct effect on Grain yield (table 4). In conclusion, to generate a new technology, a variety with improved grain yield, a breeder needs to apply indirect selection for yield components from an early stage, nurseries to sets of advanced yield trials in the breeding program.

Published in	Cell Biology (Volume 9, Issue 2)
DOI	10.11648/j.cb.20210902.11
Page(s)	20-24
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), 2024. Published by Science Publishing Group

Keywords

Wheat, Genotypic Correlation, Phenotypic Correlation, Direct Effect

References

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APA Style

Tafesse Solomon. (2021). Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia. Cell Biology, 9(2), 20-24. https://doi.org/10.11648/j.cb.20210902.11

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ACS Style

Tafesse Solomon. Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia. Cell Biol. 2021, 9(2), 20-24. doi: 10.11648/j.cb.20210902.11

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AMA Style

Tafesse Solomon. Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia. Cell Biol. 2021;9(2):20-24. doi: 10.11648/j.cb.20210902.11

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@article{10.11648/j.cb.20210902.11,
  author = {Tafesse Solomon},
  title = {Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia},
  journal = {Cell Biology},
  volume = {9},
  number = {2},
  pages = {20-24},
  doi = {10.11648/j.cb.20210902.11},
  url = {https://doi.org/10.11648/j.cb.20210902.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cb.20210902.11},
  abstract = {Grain yield is a complex quantitative trait which is influenced by a number of yield contributing traits. To improve grain yield in wheat, selection of genotypes should not only be based on grain yield alone, and the other grain yield components should also be considered. Twenty-three advanced bread wheat genotypes from the national wheat research breeding program; two released bread wheat varieties in Ethiopia; a total of twenty-five genotypes used in this study. The experiment was conducted in square lattice design with three replication over five locations for two consecutive years, in 2018 and 2019 main cropping seasons. The total experimental unit was 2.5m x 1.2m = 3m2. Overall results from correlations showed a higher genotypic correlation than the corresponding phenotypic correlation for most of the traits. The genotypic correlation between Grain yield and Plant height (rg=0.51**); between grain yield and thousand kernel weight (rg=0.73**); and between grain yield and hectoliter weight (rg= 0.52**) are highly significant at (Pp=0.68**) followed by the phenotypic correlation between hectoliter weight and grain yield (rp=0.57**) (Table 5). The date of maturity, Plant height, Thousand Kernel Weight, and HectoLiter Weight had a positive direct effect on Grain yield (table 4). In conclusion, to generate a new technology, a variety with improved grain yield, a breeder needs to apply indirect selection for yield components from an early stage, nurseries to sets of advanced yield trials in the breeding program.},
 year = {2021}
}

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TY  - JOUR
T1  - Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia
AU  - Tafesse Solomon
Y1  - 2021/07/28
PY  - 2021
N1  - https://doi.org/10.11648/j.cb.20210902.11
DO  - 10.11648/j.cb.20210902.11
T2  - Cell Biology
JF  - Cell Biology
JO  - Cell Biology
SP  - 20
EP  - 24
PB  - Science Publishing Group
SN  - 2330-0183
UR  - https://doi.org/10.11648/j.cb.20210902.11
AB  - Grain yield is a complex quantitative trait which is influenced by a number of yield contributing traits. To improve grain yield in wheat, selection of genotypes should not only be based on grain yield alone, and the other grain yield components should also be considered. Twenty-three advanced bread wheat genotypes from the national wheat research breeding program; two released bread wheat varieties in Ethiopia; a total of twenty-five genotypes used in this study. The experiment was conducted in square lattice design with three replication over five locations for two consecutive years, in 2018 and 2019 main cropping seasons. The total experimental unit was 2.5m x 1.2m = 3m2. Overall results from correlations showed a higher genotypic correlation than the corresponding phenotypic correlation for most of the traits. The genotypic correlation between Grain yield and Plant height (rg=0.51**); between grain yield and thousand kernel weight (rg=0.73**); and between grain yield and hectoliter weight (rg= 0.52**) are highly significant at (Pp=0.68**) followed by the phenotypic correlation between hectoliter weight and grain yield (rp=0.57**) (Table 5). The date of maturity, Plant height, Thousand Kernel Weight, and HectoLiter Weight had a positive direct effect on Grain yield (table 4). In conclusion, to generate a new technology, a variety with improved grain yield, a breeder needs to apply indirect selection for yield components from an early stage, nurseries to sets of advanced yield trials in the breeding program.
VL  - 9
IS  - 2
ER  -

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Author Information

Tafesse Solomon

National Wheat Research Program, Ethiopian Institute of Agricultural Research, Asela, Ethiopia

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Plain Text BibTeX RIS

APA Style

Tafesse Solomon. (2021). Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia. Cell Biology, 9(2), 20-24. https://doi.org/10.11648/j.cb.20210902.11

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ACS Style

Tafesse Solomon. Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia. Cell Biol. 2021, 9(2), 20-24. doi: 10.11648/j.cb.20210902.11

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AMA Style

Tafesse Solomon. Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia. Cell Biol. 2021;9(2):20-24. doi: 10.11648/j.cb.20210902.11

Copy | Download

@article{10.11648/j.cb.20210902.11,
  author = {Tafesse Solomon},
  title = {Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia},
  journal = {Cell Biology},
  volume = {9},
  number = {2},
  pages = {20-24},
  doi = {10.11648/j.cb.20210902.11},
  url = {https://doi.org/10.11648/j.cb.20210902.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cb.20210902.11},
  abstract = {Grain yield is a complex quantitative trait which is influenced by a number of yield contributing traits. To improve grain yield in wheat, selection of genotypes should not only be based on grain yield alone, and the other grain yield components should also be considered. Twenty-three advanced bread wheat genotypes from the national wheat research breeding program; two released bread wheat varieties in Ethiopia; a total of twenty-five genotypes used in this study. The experiment was conducted in square lattice design with three replication over five locations for two consecutive years, in 2018 and 2019 main cropping seasons. The total experimental unit was 2.5m x 1.2m = 3m2. Overall results from correlations showed a higher genotypic correlation than the corresponding phenotypic correlation for most of the traits. The genotypic correlation between Grain yield and Plant height (rg=0.51**); between grain yield and thousand kernel weight (rg=0.73**); and between grain yield and hectoliter weight (rg= 0.52**) are highly significant at (Pp=0.68**) followed by the phenotypic correlation between hectoliter weight and grain yield (rp=0.57**) (Table 5). The date of maturity, Plant height, Thousand Kernel Weight, and HectoLiter Weight had a positive direct effect on Grain yield (table 4). In conclusion, to generate a new technology, a variety with improved grain yield, a breeder needs to apply indirect selection for yield components from an early stage, nurseries to sets of advanced yield trials in the breeding program.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Correlation and Path Coefficient Studies on Advanced Bread Wheat Lines in Ethiopia
AU  - Tafesse Solomon
Y1  - 2021/07/28
PY  - 2021
N1  - https://doi.org/10.11648/j.cb.20210902.11
DO  - 10.11648/j.cb.20210902.11
T2  - Cell Biology
JF  - Cell Biology
JO  - Cell Biology
SP  - 20
EP  - 24
PB  - Science Publishing Group
SN  - 2330-0183
UR  - https://doi.org/10.11648/j.cb.20210902.11
AB  - Grain yield is a complex quantitative trait which is influenced by a number of yield contributing traits. To improve grain yield in wheat, selection of genotypes should not only be based on grain yield alone, and the other grain yield components should also be considered. Twenty-three advanced bread wheat genotypes from the national wheat research breeding program; two released bread wheat varieties in Ethiopia; a total of twenty-five genotypes used in this study. The experiment was conducted in square lattice design with three replication over five locations for two consecutive years, in 2018 and 2019 main cropping seasons. The total experimental unit was 2.5m x 1.2m = 3m2. Overall results from correlations showed a higher genotypic correlation than the corresponding phenotypic correlation for most of the traits. The genotypic correlation between Grain yield and Plant height (rg=0.51**); between grain yield and thousand kernel weight (rg=0.73**); and between grain yield and hectoliter weight (rg= 0.52**) are highly significant at (Pp=0.68**) followed by the phenotypic correlation between hectoliter weight and grain yield (rp=0.57**) (Table 5). The date of maturity, Plant height, Thousand Kernel Weight, and HectoLiter Weight had a positive direct effect on Grain yield (table 4). In conclusion, to generate a new technology, a variety with improved grain yield, a breeder needs to apply indirect selection for yield components from an early stage, nurseries to sets of advanced yield trials in the breeding program.
VL  - 9
IS  - 2
ER  -

Copy | Download