Understanding trait association is essential to increasing the effectiveness of crop plant improvement selection. In order to ascertain the direct and indirect effects of yield-related traits on Ethiopian mustard seed yield, as well as the extent of trait relationships, this study was carried out at the Holetta Agricultural Research Center's main station in 2020 and 2021. The study employed 23 advanced genotypes and two standard checks, Tesfa and Deresh. A 5 x 5 simple lattice design was used to set up the experiment. The SAS 9.3(2014) software was used to analyze the data on days to 50% flowering, days to maturity, plant height, yield per plot, number of primary branches, number of secondary branches, and number of pods per plant. Calculating the relative efficiency of randomized complete block design versus simple lattice design, 123% was found. Simple path coefficient and correlation coefficient analyses were conducted, and the significance and effects were evaluated in accordance with the standards set by various biometricians. The genotypes that were tested differed significantly, as demonstrated by the analysis of variance. All traits were positively and significantly correlated, both at the genotypic and phenotypic levels, with seed yield per plot, according to the correlation coefficient analysis. All traits had a positive and highest direct effect on seed yield, according to phenotypic and genotypic path coefficient analysis.
| Published in | International Journal of Genetics and Genomics (Volume 12, Issue 4) |
| DOI | 10.11648/j.ijgg.20241204.11 |
| Page(s) | 74-80 |
| 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 |
Correlation Coefficient Analysis, Direct Effect, Ethiopian Mustard, Indirect Effect, Path Coefficient Analysis, Seed Yield
| [1] | Dewey, D. R., & Lu, K. H. (1959). A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal, 51: 515-518. |
| [2] | Fisher R. A., Yates F. (1938). Statistical tables for biological, agricultural and medical research. Oxford England: Oliver & Boyd. |
| [3] | Getinet A, Rakow G, Raney JP, Downey RK (1994) Development of zero erucic acid Ethiopian mustard through an interspecific cross with zero erucic acid oriental mustard. Canad J Plant Sci 74: 4. |
| [4] | Jarvis A, Upadhyaya H, Gowda CLL, Aggarwal PK, Fujisaka S, Anderson B (2010) Climate change and its effect on conservation and use of plant genetic resources for food and agriculture and associated biodiversity for food security. FAO Thematic Background Study Rome, Italy: Food and Agriculture Organisation of the United Nations (FAO). |
| [5] | Lenka, D. and Misra, B. (1973) Path Coefficient Analysis of Yield in Rice Varieties. Indian Journal of Agricultural Science, 43, 376-379. |
| [6] | Misteru TWY, Yared SB (2013) Genetic variability of Ethiopian mustard (Brassica carinata A. Brun) accessions based on some morphological characters. Int J Plant Breed Genet 7: 169–175. |
| [7] | Rahiel H, Abdulwahab SS, Lei Z, Xu C, Jianli L, Jian W, RunmaoL, Xiaowu W (2020) Ethiopian mustard (Brassica carinata A. Braun) as an alternative energy source and sustainable crop: a review. Sustainability 12: 7492. |
| [8] | Raza A, Razzaq A, Mehmood SS, Zou X, Zhang X, Lv Y, Xu J (2019) Impact of climate change on crops adaptation and strategies to tackle its outcome: a review. Plants 8(2): 234. |
| [9] | SAS Institute. (2014). SAS/STAT guide for personal computers, version 9.3 edition. SAS Institute Inc., Cary, NC. |
| [10] | Singh R. K, Chaudhary B. D (1985). Biometrical Methods in Quantitative Analysis. New Delhi, India: Kalayani Publishers. |
| [11] | Singh, R. K. and Chaudhary, B. D. (1987) Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, New Delhi, Ludhiana, India, 318. |
| [12] | Singh, R. K. and Chowdhary B. D. (1977). Biometrical methods in quantitative genetics analysis. Kalyani Publishers, New Delhi. pp: 88. |
| [13] | Subramanian P, Kim S (2023) Brassica biodiversity conservation: prevailing constraints and future avenues for sustainable distribution of plant genetic resources. July, 1–13. |
| [14] | Wright S. Correlation and causation. J. Agric. Res. 1921; 1(20): 557-585. |
| [15] | Yared S.B. (2011) Genetic Variability, Correlation and Path Analysis Studies in Ethiopian Mustard (Brassica carinata A. Brun) Genotypes. International Journal of Plant Breeding and Genetics, 5: 328-338, |
APA Style
Abu, M., Mengistu, B. (2024). Direct and Indirect Effects of Yield Related Traits on Seed Yield in Ethiopian Mustard (Brassica Carinata A. BRAUN) Genotypes. International Journal of Genetics and Genomics, 12(4), 74-80. https://doi.org/10.11648/j.ijgg.20241204.11
ACS Style
Abu, M.; Mengistu, B. Direct and Indirect Effects of Yield Related Traits on Seed Yield in Ethiopian Mustard (Brassica Carinata A. BRAUN) Genotypes. Int. J. Genet. Genomics 2024, 12(4), 74-80. doi: 10.11648/j.ijgg.20241204.11
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Download@article{10.11648/j.ijgg.20241204.11,
author = {Mohammed Abu and Birhanu Mengistu},
title = {Direct and Indirect Effects of Yield Related Traits on Seed Yield in Ethiopian Mustard (Brassica Carinata A. BRAUN) Genotypes
},
journal = {International Journal of Genetics and Genomics},
volume = {12},
number = {4},
pages = {74-80},
doi = {10.11648/j.ijgg.20241204.11},
url = {https://doi.org/10.11648/j.ijgg.20241204.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20241204.11},
abstract = {Understanding trait association is essential to increasing the effectiveness of crop plant improvement selection. In order to ascertain the direct and indirect effects of yield-related traits on Ethiopian mustard seed yield, as well as the extent of trait relationships, this study was carried out at the Holetta Agricultural Research Center's main station in 2020 and 2021. The study employed 23 advanced genotypes and two standard checks, Tesfa and Deresh. A 5 x 5 simple lattice design was used to set up the experiment. The SAS 9.3(2014) software was used to analyze the data on days to 50% flowering, days to maturity, plant height, yield per plot, number of primary branches, number of secondary branches, and number of pods per plant. Calculating the relative efficiency of randomized complete block design versus simple lattice design, 123% was found. Simple path coefficient and correlation coefficient analyses were conducted, and the significance and effects were evaluated in accordance with the standards set by various biometricians. The genotypes that were tested differed significantly, as demonstrated by the analysis of variance. All traits were positively and significantly correlated, both at the genotypic and phenotypic levels, with seed yield per plot, according to the correlation coefficient analysis. All traits had a positive and highest direct effect on seed yield, according to phenotypic and genotypic path coefficient analysis.
},
year = {2024}
}
TY - JOUR T1 - Direct and Indirect Effects of Yield Related Traits on Seed Yield in Ethiopian Mustard (Brassica Carinata A. BRAUN) Genotypes AU - Mohammed Abu AU - Birhanu Mengistu Y1 - 2024/10/31 PY - 2024 N1 - https://doi.org/10.11648/j.ijgg.20241204.11 DO - 10.11648/j.ijgg.20241204.11 T2 - International Journal of Genetics and Genomics JF - International Journal of Genetics and Genomics JO - International Journal of Genetics and Genomics SP - 74 EP - 80 PB - Science Publishing Group SN - 2376-7359 UR - https://doi.org/10.11648/j.ijgg.20241204.11 AB - Understanding trait association is essential to increasing the effectiveness of crop plant improvement selection. In order to ascertain the direct and indirect effects of yield-related traits on Ethiopian mustard seed yield, as well as the extent of trait relationships, this study was carried out at the Holetta Agricultural Research Center's main station in 2020 and 2021. The study employed 23 advanced genotypes and two standard checks, Tesfa and Deresh. A 5 x 5 simple lattice design was used to set up the experiment. The SAS 9.3(2014) software was used to analyze the data on days to 50% flowering, days to maturity, plant height, yield per plot, number of primary branches, number of secondary branches, and number of pods per plant. Calculating the relative efficiency of randomized complete block design versus simple lattice design, 123% was found. Simple path coefficient and correlation coefficient analyses were conducted, and the significance and effects were evaluated in accordance with the standards set by various biometricians. The genotypes that were tested differed significantly, as demonstrated by the analysis of variance. All traits were positively and significantly correlated, both at the genotypic and phenotypic levels, with seed yield per plot, according to the correlation coefficient analysis. All traits had a positive and highest direct effect on seed yield, according to phenotypic and genotypic path coefficient analysis. VL - 12 IS - 4 ER -
Ethiopian Institute of Agricultural Research, Holetta Agricultural Research Center, Holetta, Ethiopia
Ethiopian Institute of Agricultural Research, Holetta Agricultural Research Center, Holetta, Ethiopia
