Evidence on the collective association of traits is important for effective selection in forage-breeding program. Twenty four genotypes of Rhodes grass and one check were evaluated at Mechara Agricultural Research Center (Onstation) with lattice design in 2023/24 main rainy season to evaluate the Genotypic and phenotypic correlation and determine the direct and indirect effects of yield-related traits on dry matter yield. The mean sum of squares of genotypes showed significant differences (p < 0.05) for stand vigor, days to 50% emergence, date to 50% flowering and Plant height and highly significant (p < 0.001) for biomass yield, dry matter and number of leaf per plant. Maximum phenotypic variance and genotypic variance value was recorded for days to maturity. The range observed for heritability (H2bs) was from (0.0%) to (55%). Stand vigor exhibited highest value of genetic advance as percentage of mean followed by number of leaf per plant. Highest genotypic coefficient variation were recorded from days to maturity (89.8%) flowed by Plant height (62.3%) and Highest phenotypic coefficient variation were recorded from plot cover (184.9%) followed by days to maturity (225.4%). Phenotypically and Genotypically dry matter yield was highly positive significant associated with of Plot cover (0.546**), stand vigor (0.566**), leaf per plant (0.439**) and showed highly negative significant with days to 50% emergence. The results of phenotypic path coefficient analysis showed that stand vigor (0.378) and leaf per plant had exerted moderate positive direct effect on dry matter. stand vigor followed by plant height, plot cover and leaf per plant had exerted high and positive direct effect on dry matter yield and genotypic path analysis showed stand vigor followed by plant height, plot cover and leaf per plant had exerted high and positive direct effect on dry matter yield. This indicates that selection based on these traits could be more effective to maximize dry yield.
| Published in | American Journal of Agriculture and Forestry (Volume 12, Issue 6) |
| DOI | 10.11648/j.ajaf.20241206.14 |
| Page(s) | 411-419 |
| 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 |
Genotypic Correlation, Heritability, Negative Significant, Phenotypic Correlation, Positive Significant
| [1] | Abdul Matin Azimi, Dr. Shailesh Marker and Indranil Bhattacharjee. 2017. Genotypic and phenotypic variability and correlation analysis for yield and its components in late sown wheat (Triticum aestivum L.). Journal of Pharmacognosy and Phytochemistry 2017; 6(4): 167-173. |
| [2] | Akililu M, Alemayehu M (2007) Measurements in pasture and forage crop systems. Technical manual, EIAR, Addis Ababa, Ethiopia. |
| [3] | Arshad, I. (2020). Performance of Different Rhodes Grass Varieties under the Agro-Climatic Conditions of Sindh, Pakistan. Int. J. Res. Appl. Sci. Engin. Technol, 3(7), 36-41. |
| [4] | Arshad, I., Ali, W., Khan, Z. A., &Bhayo, W. A., 2016. Effect of Water Stress on the Growth and Yield of Rhodes Grass (Chlorisgayana L. Kunth.) PSM Biol. Res., 01(2): 58-61. |
| [5] | Burton GW, Vane de EH. Estimating heritability in tall fescue (Festuca arundinacea L.) from replicated clonal material. Agronomy of Journal. 19. |
| [6] | Ecocrop. 2014. Ecocrop data base. FAO, Rome, Italy. |
| [7] | Falconer, D. S. and Mackay, F. C. (1996) Introduction to Quantitative Genetics. Longman, New York. |
| [8] | FAO. 2014. Grassland Index. A searchable catalogue of grass and forage legumes. FAO, Rome, Italy. |
| [9] | Hanson, C. H., H. F. Robinson and R. E. Comstock. 1956. Biometrical studies of yield in segregating populations of Korean Lespedza. Agron. J. 48: 268-272. |
| [10] | Johnson HW, Robinson HE, Comstock RE. Estimates of genetic and environmental variability in soybean. Agron. J. 1955; 47: 314-318. |
| [11] |
Muchero, W., Ehlers, J. D. and Roberts, P. A. (2008) Seedling Stage Drought-Induced Phenotypes and Drought-Responsive Genes in Diverse Cowpea Genotypes. Crop Science, 48, 541-552.
https://doi.org/10.2135/cropsci2007.07.039753 45: 478-481. |
| [12] | Robinson, H. F.; Comstock, R. E. and Harvey, P. H. (1949). Estimation of heritability and the degree of dominance in corn. |
| [13] | Sivasubramanian S, Madhavamenon P. Genetic analysis of quantitative characters in rice through diallel crosses. Madras Agricultural Journal. 1973; 60: 1097-1102. |
APA Style
Urgesa, L., Dinkale, T., Hassen, J. (2024). Genotypic and Phenotypic Correlation and Path Coefficient Analysis of Rhodes Grass (Chloris gayana) Genotypes. American Journal of Agriculture and Forestry, 12(6), 411-419. https://doi.org/10.11648/j.ajaf.20241206.14
ACS Style
Urgesa, L.; Dinkale, T.; Hassen, J. Genotypic and Phenotypic Correlation and Path Coefficient Analysis of Rhodes Grass (Chloris gayana) Genotypes. Am. J. Agric. For. 2024, 12(6), 411-419. doi: 10.11648/j.ajaf.20241206.14
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Download@article{10.11648/j.ajaf.20241206.14,
author = {Lensa Urgesa and Tamirat Dinkale and Jibrail Hassen},
title = {Genotypic and Phenotypic Correlation and Path Coefficient Analysis of Rhodes Grass (Chloris gayana) Genotypes
},
journal = {American Journal of Agriculture and Forestry},
volume = {12},
number = {6},
pages = {411-419},
doi = {10.11648/j.ajaf.20241206.14},
url = {https://doi.org/10.11648/j.ajaf.20241206.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20241206.14},
abstract = {Evidence on the collective association of traits is important for effective selection in forage-breeding program. Twenty four genotypes of Rhodes grass and one check were evaluated at Mechara Agricultural Research Center (Onstation) with lattice design in 2023/24 main rainy season to evaluate the Genotypic and phenotypic correlation and determine the direct and indirect effects of yield-related traits on dry matter yield. The mean sum of squares of genotypes showed significant differences (p 2bs) was from (0.0%) to (55%). Stand vigor exhibited highest value of genetic advance as percentage of mean followed by number of leaf per plant. Highest genotypic coefficient variation were recorded from days to maturity (89.8%) flowed by Plant height (62.3%) and Highest phenotypic coefficient variation were recorded from plot cover (184.9%) followed by days to maturity (225.4%). Phenotypically and Genotypically dry matter yield was highly positive significant associated with of Plot cover (0.546**), stand vigor (0.566**), leaf per plant (0.439**) and showed highly negative significant with days to 50% emergence. The results of phenotypic path coefficient analysis showed that stand vigor (0.378) and leaf per plant had exerted moderate positive direct effect on dry matter. stand vigor followed by plant height, plot cover and leaf per plant had exerted high and positive direct effect on dry matter yield and genotypic path analysis showed stand vigor followed by plant height, plot cover and leaf per plant had exerted high and positive direct effect on dry matter yield. This indicates that selection based on these traits could be more effective to maximize dry yield.
},
year = {2024}
}
TY - JOUR T1 - Genotypic and Phenotypic Correlation and Path Coefficient Analysis of Rhodes Grass (Chloris gayana) Genotypes AU - Lensa Urgesa AU - Tamirat Dinkale AU - Jibrail Hassen Y1 - 2024/12/19 PY - 2024 N1 - https://doi.org/10.11648/j.ajaf.20241206.14 DO - 10.11648/j.ajaf.20241206.14 T2 - American Journal of Agriculture and Forestry JF - American Journal of Agriculture and Forestry JO - American Journal of Agriculture and Forestry SP - 411 EP - 419 PB - Science Publishing Group SN - 2330-8591 UR - https://doi.org/10.11648/j.ajaf.20241206.14 AB - Evidence on the collective association of traits is important for effective selection in forage-breeding program. Twenty four genotypes of Rhodes grass and one check were evaluated at Mechara Agricultural Research Center (Onstation) with lattice design in 2023/24 main rainy season to evaluate the Genotypic and phenotypic correlation and determine the direct and indirect effects of yield-related traits on dry matter yield. The mean sum of squares of genotypes showed significant differences (p 2bs) was from (0.0%) to (55%). Stand vigor exhibited highest value of genetic advance as percentage of mean followed by number of leaf per plant. Highest genotypic coefficient variation were recorded from days to maturity (89.8%) flowed by Plant height (62.3%) and Highest phenotypic coefficient variation were recorded from plot cover (184.9%) followed by days to maturity (225.4%). Phenotypically and Genotypically dry matter yield was highly positive significant associated with of Plot cover (0.546**), stand vigor (0.566**), leaf per plant (0.439**) and showed highly negative significant with days to 50% emergence. The results of phenotypic path coefficient analysis showed that stand vigor (0.378) and leaf per plant had exerted moderate positive direct effect on dry matter. stand vigor followed by plant height, plot cover and leaf per plant had exerted high and positive direct effect on dry matter yield and genotypic path analysis showed stand vigor followed by plant height, plot cover and leaf per plant had exerted high and positive direct effect on dry matter yield. This indicates that selection based on these traits could be more effective to maximize dry yield. VL - 12 IS - 6 ER -
Oromia Agricultural Research Institute, Mechara Agricultural Research Center, Mechara, Ethiopia
Oromia Agricultural Research Institute, Mechara Agricultural Research Center, Mechara, Ethiopia
Oromia Agricultural Research Institute, Mechara Agricultural Research Center, Mechara, Ethiopia
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