Genetic Variability and Traits Association Study in Rainfed Lowland Rice (<i>Oryza sativa </i>L.) Genotypes in Southwestern Ethiopia

Abayneh Kacharo; Wosene Gebreselassie; Techale Birhan

doi:doi:10.11648/j.ijgg.20210903.11

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Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia

Abayneh Kacharo, Wosene Gebreselassie, Techale Birhan

Published in International Journal of Genetics and Genomics (Volume 9, Issue 3)

Received: 24 February 2020 Accepted: 23 April 2021 Published: 13 July 2021

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Abstract

Background and Objective: Complete knowledge on the extent of genetic variability and interrelationships of yield and components traits is pre-request for designing an effective and efficient selection based rice improvement programs for generating high yielding rainfed lowland rice genotypes. The objective of this study was in order to determine the extent of genetic variability and association of characters with grain yield and among themselves. Materials and Methods: Twenty-five rainfed lowland rice genotypes were evaluated during the 2016 main cropping season at two rainfed lowland agro-ecologies of Southwestern Ethiopia. The experiment was laid out in a simple lattice design and data on 14 yield and yield component traits were collected and subjected to various statistical analyses. Results: Combined analysis of variance across locations revealed significant location, genotype and genotype x location interaction effects for several traits evaluated at p ≤ 0.01. The phenotypic coefficient of variation (PCV) ranged from 2.14% for days to 85% maturity to 18.09% for grain yield, while the genotypic coefficient of variation (GCV) ranged from 0.71% for days 85% to maturity to 10.48% for grain yield. Heritability estimate in broad sense was high for plant height (74.15) and low for days to 85% maturity (11.06) and harvest index (23.47). Plant height displayed high heritability along with moderate genetic advance as percent of mean value and days to 85% maturity and harvest index exhibited low GCV, heritability and genetic advance as percentage of mean estimates. Correlation coefficient analysis of grain yield showed positive and significant association with number of primary branches per panicle at both phenotypic and genotypic levels. Separation of correlation coefficients into direct and indirect effects of component traits on grain yield revealed that number of primary branches per panicle exerted the maximum positive direct effect on grain yield at both genotypic and phenotypic levels. Conclusion: The present study indicated sufficient amount of genetic variability for the majority of the characters studied in rainfed lowland rice genotype for future exploitation in selection based improvement programs.

Published in	International Journal of Genetics and Genomics (Volume 9, Issue 3)
DOI	10.11648/j.ijgg.20210903.11
Page(s)	42-49
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), 2021. Published by Science Publishing Group

Keywords

Lowland Rice, Genetic Variability, Traits Association, Heritability, Phenotypic Correlation, Genotypic Correlation

References

[1]	Ministry of Agriculture and Rural Development (MoARD), 2010. National Rice Research and Development Strategy of Ethiopia. Addis Ababa, Ethiopia, pp. 48.
[2]	Hegde, S. and Hegde, V., 2013. Assessment of global rice production and export opportunity for economic development in Ethiopia. Int. J. Sci. Res, 2, pp. 257-260.
[3]	EIAR/ FRG II (2012) Backing Rice Extension Rightly. FRG II Project Empowering Farmers' Innovation Series No. 4. Ethiopian Institute of Agricultural Research EIAR-JICA, Addis Ababa, Ethiopia. pp 1-5.
[4]	Mebratu, G. M., Selvaraj, T. and Woldeab, G., 2015. Assessment of disease intensity and isolates characterization of blast disease (Pyricularia oryzae CAV.) from South West of Ethiopia. International J. of Life Sciences, 3 (4), pp. 271-286.
[5]	CSA. 2016. Agricultural sample survey 2015/2016. Report on area and production of crops (Private peasant holdings, Meher season) Central Statistical Agency of Ethiopia, Addis Ababa, Ethiopia.
[6]	Tefaye, Z., Befikadu, A., and, Aklilu A, 2005. Rice Production, Consumption and Marketing on Fogera, Dera and Libokemkem Districts of Amhara Region. Bahir Dar, Ethiopia (unpublished document.
[7]	Mulugeta, S., Sentayehu, A. and Kasahun, B., 2012. Genetic variability, heritability, correlation coefficient and path analysis for yield and yield related traits in upland rice (Oryza sativa L.). Journal of plant sciences, 7 (1), p. 13.
[8]	Taddesse, L., Sewagegne, T., Alem, Teferi, A., and Mulugeta, B., 2014. Agronomic performances and stability analysis of upland rice genotypes in North West Ethiopia. International Journal of Scientific and Research Publications, 4 (4), pp. 1-9.
[9]	FAOSTAT Statistics Division online database (2015) Statistical database of the food and agriculture of the united nations.
[10]	Sewagegne, T. and Taddesse, L., 2016. Performance of rain fed lowland rice genotypes in multi environment trials as analyzed using GGE biplot. Journal of Agricultural Research and Innovative Technologies, 1 (1).
[11]	Addis, A., 2017 Performance evaluation of upland rice Oryza sativa L.) varieties in south western areas of Ethiopia. J. agric. Res, 55 (2), pp. 279-289.
[12]	Atlin, G., 2003. Improving drought tolerance by selecting for yield. Breeding rice for drought-prone environments, pp. 14-22.
[13]	IRRI, 2013. Rice Almanac, source book for the most important economic activity on earth. Third edition. Maclean, J. L., Dawe, D. C., Hardy, B., and Hettel, G. P. (Eds.) International Rice Research Institute, Manila, Philippines. pp. 1–253. (Reference ID 8380) IRRI, 2013. Standard evaluation system for rice (SES). P. 56.
[14]	Hartley, H. O. (1950). The maximum F-ratio as a short cut test for heterogeneity of variances. Biometrika 37: 308-312.
[15]	SAS Institute. 2002. The SAS system for windows, V. 9.0. SAS Institute, Carry, NC, USA.
[16]	Gomez, A. G. and A. A. Gomez, 1984. Statistical procedure for Agricultural research, Jhon Wiley and son Inc., New York.
[17]	Burton, G. W. and Devane, E. H., 1953. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal, 45 (10), pp. 478-481.
[18]	Dewey, D. R. and Lu, K., 1959. A correlation and path-coefficient analysis of components of crested wheatgrass seed production. Agronomy journal, 51 (9), pp. 515-518.
[19]	Sivasubramanian, S. and Menon, M., 1973. Heterosis and inbreeding depression in rice. Madras Agric. J, 60, p. 1139.
[20]	Johnson, H. W., Robinson, H. F. and Comstock, R. E., 1955. Estimates of genetic and environmental variability in soybeans. Agronomy journal, 47 (7), pp. 314-318.
[21]	Allard. R. W., 1960. Principle of plant breeding. John Wiley and Son. New York.
[22]	Chaudhary, B. D., and. Singh 1997, R. K.. Biometrical methods in quantitative genetic analysis.
[23]	Tefera, A., Sentayehu, A. and Leta, T., 2017. Genetic variability, heritability and genetic advance for yield and its related traits in rainfed lowland rice (Oryza sativa L.) genotypes at Fogera and Pawe, Ethiopia. Adv Crop Sci Tech, 5 (2): 272.
[24]	Ogunbayo, S. A., Ojo, D. K., Sanni, K. A., Akinwale, M. G., Toulou, B., Shittu, A., Idehen, E. O., Popoola, A. R., Daniel, I. O. and Gregorio, G. B., 2014. Genetic variation and heritability of yield and related traits in promising rice genotypes (Oryza sativa L.). Journal of Plant Breeding and Crop Science, 6 (11), pp. 153-1.
[25]	Hossain, S., Haque, M. and Rahman, J., 2015. Genetic variability, correlation and path coefficient analysis of morphological traits in some extinct local Aman rice (Oryza sativa L). Rice Research: Open Access.
[26]	Moosavi, M., Ranjbar, G., Zarrini, H. N. and Gilani, A., 2015, January. Correlation between morphological and physiological traits and path analysis of grain yield in rice genotypes under Khuzestan conditions. In Biological Forum (Vol. 7, No. 1, p. 43). Research Trend.

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Abayneh Kacharo, Wosene Gebreselassie, Techale Birhan. (2021). Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia. International Journal of Genetics and Genomics, 9(3), 42-49. https://doi.org/10.11648/j.ijgg.20210903.11

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ACS Style

Abayneh Kacharo; Wosene Gebreselassie; Techale Birhan. Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia. Int. J. Genet. Genomics 2021, 9(3), 42-49. doi: 10.11648/j.ijgg.20210903.11

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AMA Style

Abayneh Kacharo, Wosene Gebreselassie, Techale Birhan. Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia. Int J Genet Genomics. 2021;9(3):42-49. doi: 10.11648/j.ijgg.20210903.11

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@article{10.11648/j.ijgg.20210903.11,
  author = {Abayneh Kacharo and Wosene Gebreselassie and Techale Birhan},
  title = {Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia},
  journal = {International Journal of Genetics and Genomics},
  volume = {9},
  number = {3},
  pages = {42-49},
  doi = {10.11648/j.ijgg.20210903.11},
  url = {https://doi.org/10.11648/j.ijgg.20210903.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20210903.11},
  abstract = {Background and Objective: Complete knowledge on the extent of genetic variability and interrelationships of yield and components traits is pre-request for designing an effective and efficient selection based rice improvement programs for generating high yielding rainfed lowland rice genotypes. The objective of this study was in order to determine the extent of genetic variability and association of characters with grain yield and among themselves. Materials and Methods: Twenty-five rainfed lowland rice genotypes were evaluated during the 2016 main cropping season at two rainfed lowland agro-ecologies of Southwestern Ethiopia. The experiment was laid out in a simple lattice design and data on 14 yield and yield component traits were collected and subjected to various statistical analyses. Results: Combined analysis of variance across locations revealed significant location, genotype and genotype x location interaction effects for several traits evaluated at p ≤ 0.01. The phenotypic coefficient of variation (PCV) ranged from 2.14% for days to 85% maturity to 18.09% for grain yield, while the genotypic coefficient of variation (GCV) ranged from 0.71% for days 85% to maturity to 10.48% for grain yield. Heritability estimate in broad sense was high for plant height (74.15) and low for days to 85% maturity (11.06) and harvest index (23.47). Plant height displayed high heritability along with moderate genetic advance as percent of mean value and days to 85% maturity and harvest index exhibited low GCV, heritability and genetic advance as percentage of mean estimates. Correlation coefficient analysis of grain yield showed positive and significant association with number of primary branches per panicle at both phenotypic and genotypic levels. Separation of correlation coefficients into direct and indirect effects of component traits on grain yield revealed that number of primary branches per panicle exerted the maximum positive direct effect on grain yield at both genotypic and phenotypic levels. Conclusion: The present study indicated sufficient amount of genetic variability for the majority of the characters studied in rainfed lowland rice genotype for future exploitation in selection based improvement programs.},
 year = {2021}
}

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TY  - JOUR
T1  - Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia
AU  - Abayneh Kacharo
AU  - Wosene Gebreselassie
AU  - Techale Birhan
Y1  - 2021/07/13
PY  - 2021
N1  - https://doi.org/10.11648/j.ijgg.20210903.11
DO  - 10.11648/j.ijgg.20210903.11
T2  - International Journal of Genetics and Genomics
JF  - International Journal of Genetics and Genomics
JO  - International Journal of Genetics and Genomics
SP  - 42
EP  - 49
PB  - Science Publishing Group
SN  - 2376-7359
UR  - https://doi.org/10.11648/j.ijgg.20210903.11
AB  - Background and Objective: Complete knowledge on the extent of genetic variability and interrelationships of yield and components traits is pre-request for designing an effective and efficient selection based rice improvement programs for generating high yielding rainfed lowland rice genotypes. The objective of this study was in order to determine the extent of genetic variability and association of characters with grain yield and among themselves. Materials and Methods: Twenty-five rainfed lowland rice genotypes were evaluated during the 2016 main cropping season at two rainfed lowland agro-ecologies of Southwestern Ethiopia. The experiment was laid out in a simple lattice design and data on 14 yield and yield component traits were collected and subjected to various statistical analyses. Results: Combined analysis of variance across locations revealed significant location, genotype and genotype x location interaction effects for several traits evaluated at p ≤ 0.01. The phenotypic coefficient of variation (PCV) ranged from 2.14% for days to 85% maturity to 18.09% for grain yield, while the genotypic coefficient of variation (GCV) ranged from 0.71% for days 85% to maturity to 10.48% for grain yield. Heritability estimate in broad sense was high for plant height (74.15) and low for days to 85% maturity (11.06) and harvest index (23.47). Plant height displayed high heritability along with moderate genetic advance as percent of mean value and days to 85% maturity and harvest index exhibited low GCV, heritability and genetic advance as percentage of mean estimates. Correlation coefficient analysis of grain yield showed positive and significant association with number of primary branches per panicle at both phenotypic and genotypic levels. Separation of correlation coefficients into direct and indirect effects of component traits on grain yield revealed that number of primary branches per panicle exerted the maximum positive direct effect on grain yield at both genotypic and phenotypic levels. Conclusion: The present study indicated sufficient amount of genetic variability for the majority of the characters studied in rainfed lowland rice genotype for future exploitation in selection based improvement programs.
VL  - 9
IS  - 3
ER  -

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Author Information

Abayneh Kacharo

Bonga Agricultural Research Center, South Agricultural Research Institute, Bonga, Ethiopia
Wosene Gebreselassie

College of Agriculture and Veterinary Medicine, Jimma University, Jimma, Ethiopia
Techale Birhan

College of Agriculture and Veterinary Medicine, Jimma University, Jimma, Ethiopia

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APA Style

Abayneh Kacharo, Wosene Gebreselassie, Techale Birhan. (2021). Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia. International Journal of Genetics and Genomics, 9(3), 42-49. https://doi.org/10.11648/j.ijgg.20210903.11

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ACS Style

Abayneh Kacharo; Wosene Gebreselassie; Techale Birhan. Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia. Int. J. Genet. Genomics 2021, 9(3), 42-49. doi: 10.11648/j.ijgg.20210903.11

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AMA Style

Abayneh Kacharo, Wosene Gebreselassie, Techale Birhan. Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia. Int J Genet Genomics. 2021;9(3):42-49. doi: 10.11648/j.ijgg.20210903.11

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@article{10.11648/j.ijgg.20210903.11,
  author = {Abayneh Kacharo and Wosene Gebreselassie and Techale Birhan},
  title = {Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia},
  journal = {International Journal of Genetics and Genomics},
  volume = {9},
  number = {3},
  pages = {42-49},
  doi = {10.11648/j.ijgg.20210903.11},
  url = {https://doi.org/10.11648/j.ijgg.20210903.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20210903.11},
  abstract = {Background and Objective: Complete knowledge on the extent of genetic variability and interrelationships of yield and components traits is pre-request for designing an effective and efficient selection based rice improvement programs for generating high yielding rainfed lowland rice genotypes. The objective of this study was in order to determine the extent of genetic variability and association of characters with grain yield and among themselves. Materials and Methods: Twenty-five rainfed lowland rice genotypes were evaluated during the 2016 main cropping season at two rainfed lowland agro-ecologies of Southwestern Ethiopia. The experiment was laid out in a simple lattice design and data on 14 yield and yield component traits were collected and subjected to various statistical analyses. Results: Combined analysis of variance across locations revealed significant location, genotype and genotype x location interaction effects for several traits evaluated at p ≤ 0.01. The phenotypic coefficient of variation (PCV) ranged from 2.14% for days to 85% maturity to 18.09% for grain yield, while the genotypic coefficient of variation (GCV) ranged from 0.71% for days 85% to maturity to 10.48% for grain yield. Heritability estimate in broad sense was high for plant height (74.15) and low for days to 85% maturity (11.06) and harvest index (23.47). Plant height displayed high heritability along with moderate genetic advance as percent of mean value and days to 85% maturity and harvest index exhibited low GCV, heritability and genetic advance as percentage of mean estimates. Correlation coefficient analysis of grain yield showed positive and significant association with number of primary branches per panicle at both phenotypic and genotypic levels. Separation of correlation coefficients into direct and indirect effects of component traits on grain yield revealed that number of primary branches per panicle exerted the maximum positive direct effect on grain yield at both genotypic and phenotypic levels. Conclusion: The present study indicated sufficient amount of genetic variability for the majority of the characters studied in rainfed lowland rice genotype for future exploitation in selection based improvement programs.},
 year = {2021}
}

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TY  - JOUR
T1  - Genetic Variability and Traits Association Study in Rainfed Lowland Rice (Oryza sativa L.) Genotypes in Southwestern Ethiopia
AU  - Abayneh Kacharo
AU  - Wosene Gebreselassie
AU  - Techale Birhan
Y1  - 2021/07/13
PY  - 2021
N1  - https://doi.org/10.11648/j.ijgg.20210903.11
DO  - 10.11648/j.ijgg.20210903.11
T2  - International Journal of Genetics and Genomics
JF  - International Journal of Genetics and Genomics
JO  - International Journal of Genetics and Genomics
SP  - 42
EP  - 49
PB  - Science Publishing Group
SN  - 2376-7359
UR  - https://doi.org/10.11648/j.ijgg.20210903.11
AB  - Background and Objective: Complete knowledge on the extent of genetic variability and interrelationships of yield and components traits is pre-request for designing an effective and efficient selection based rice improvement programs for generating high yielding rainfed lowland rice genotypes. The objective of this study was in order to determine the extent of genetic variability and association of characters with grain yield and among themselves. Materials and Methods: Twenty-five rainfed lowland rice genotypes were evaluated during the 2016 main cropping season at two rainfed lowland agro-ecologies of Southwestern Ethiopia. The experiment was laid out in a simple lattice design and data on 14 yield and yield component traits were collected and subjected to various statistical analyses. Results: Combined analysis of variance across locations revealed significant location, genotype and genotype x location interaction effects for several traits evaluated at p ≤ 0.01. The phenotypic coefficient of variation (PCV) ranged from 2.14% for days to 85% maturity to 18.09% for grain yield, while the genotypic coefficient of variation (GCV) ranged from 0.71% for days 85% to maturity to 10.48% for grain yield. Heritability estimate in broad sense was high for plant height (74.15) and low for days to 85% maturity (11.06) and harvest index (23.47). Plant height displayed high heritability along with moderate genetic advance as percent of mean value and days to 85% maturity and harvest index exhibited low GCV, heritability and genetic advance as percentage of mean estimates. Correlation coefficient analysis of grain yield showed positive and significant association with number of primary branches per panicle at both phenotypic and genotypic levels. Separation of correlation coefficients into direct and indirect effects of component traits on grain yield revealed that number of primary branches per panicle exerted the maximum positive direct effect on grain yield at both genotypic and phenotypic levels. Conclusion: The present study indicated sufficient amount of genetic variability for the majority of the characters studied in rainfed lowland rice genotype for future exploitation in selection based improvement programs.
VL  - 9
IS  - 3
ER  -

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