Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria

Exonam Amegan; Andrew Efisue; Malachy Akoroda; Afeez Shittu; Fiot Tonegnikes

doi:doi:10.11648/j.ijgg.20200801.13

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Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria

Exonam Amegan, Andrew Efisue, Malachy Akoroda, Afeez Shittu, Fiot Tonegnikes

Published in International Journal of Genetics and Genomics (Volume 8, Issue 1)

Received: 28 December 2019 Accepted: 9 January 2020 Published: 23 January 2020

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Abstract

Background and objectives Assessment of genetic diversity is a prerequisite for any crop improvement program. It helps plant breeders in identifying promising lines for possible crosses. Materials and methods: This study was carried out at AfricaRice Center, International Institute of Tropical Agriculture (IITA) Ibadan, Nigeria, and evaluated 123 accessions from South Korea with 7 genotypes form Africa. The experiment was conducted in dry season using Alpha lattice design with 26 blocks each planted in five entries, replicated two times. Results: PCA showed that the first four components accounted for 73.59% of the total variation. Thus, suggest the presence of large genetic variability, which is of important, as it gives wide spectrum of selection to the breeders. Among all genotypes UPN296, UPN248 and UPN272 showed higher number of productive tillers, while UPN255, UPN332, and UPN 285 were superior for 1000-grain weight. The genotypes such as UPN277 and UPN261 proved to be better for number of spikelets, while UPN347, UPN266, and UPIA2 were better for grain yield. Cluster analysis grouped the 130 genotypes into 4 clusters. All the 17 SSRs markers used were polymorphic. A total of 70 alleles were obtained with an average of 4.12, and ranged from 2 to 6. PIC values ranged from 0.34 to 0.76 with an average of 0.53 with 17 SSR markers. UPGMA dendrogram based on similarity index of simple matching grouped 130 genotypes into three clusters. Conclusion. UPN347, UPN277, UPN296, UPN255 and UPIA2 shown to be the most promising genotypes that could be used for rice hybridization, genetic improvement and rice hybrid programme in Nigeria.

Published in	International Journal of Genetics and Genomics (Volume 8, Issue 1)
DOI	10.11648/j.ijgg.20200801.13
Page(s)	19-28
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), 2020. Published by Science Publishing Group

Keywords

Rice Genotype, Genetic Diversity, PIC, SSR Marker

References

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Exonam Amegan, Andrew Efisue, Malachy Akoroda, Afeez Shittu, Fiot Tonegnikes. (2020). Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria. International Journal of Genetics and Genomics, 8(1), 19-28. https://doi.org/10.11648/j.ijgg.20200801.13

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Exonam Amegan; Andrew Efisue; Malachy Akoroda; Afeez Shittu; Fiot Tonegnikes. Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria. Int. J. Genet. Genomics 2020, 8(1), 19-28. doi: 10.11648/j.ijgg.20200801.13

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AMA Style

Exonam Amegan, Andrew Efisue, Malachy Akoroda, Afeez Shittu, Fiot Tonegnikes. Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria. Int J Genet Genomics. 2020;8(1):19-28. doi: 10.11648/j.ijgg.20200801.13

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@article{10.11648/j.ijgg.20200801.13,
  author = {Exonam Amegan and Andrew Efisue and Malachy Akoroda and Afeez Shittu and Fiot Tonegnikes},
  title = {Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria},
  journal = {International Journal of Genetics and Genomics},
  volume = {8},
  number = {1},
  pages = {19-28},
  doi = {10.11648/j.ijgg.20200801.13},
  url = {https://doi.org/10.11648/j.ijgg.20200801.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20200801.13},
  abstract = {Background and objectives Assessment of genetic diversity is a prerequisite for any crop improvement program. It helps plant breeders in identifying promising lines for possible crosses. Materials and methods: This study was carried out at AfricaRice Center, International Institute of Tropical Agriculture (IITA) Ibadan, Nigeria, and evaluated 123 accessions from South Korea with 7 genotypes form Africa. The experiment was conducted in dry season using Alpha lattice design with 26 blocks each planted in five entries, replicated two times. Results: PCA showed that the first four components accounted for 73.59% of the total variation. Thus, suggest the presence of large genetic variability, which is of important, as it gives wide spectrum of selection to the breeders. Among all genotypes UPN296, UPN248 and UPN272 showed higher number of productive tillers, while UPN255, UPN332, and UPN 285 were superior for 1000-grain weight. The genotypes such as UPN277 and UPN261 proved to be better for number of spikelets, while UPN347, UPN266, and UPIA2 were better for grain yield. Cluster analysis grouped the 130 genotypes into 4 clusters. All the 17 SSRs markers used were polymorphic. A total of 70 alleles were obtained with an average of 4.12, and ranged from 2 to 6. PIC values ranged from 0.34 to 0.76 with an average of 0.53 with 17 SSR markers. UPGMA dendrogram based on similarity index of simple matching grouped 130 genotypes into three clusters. Conclusion. UPN347, UPN277, UPN296, UPN255 and UPIA2 shown to be the most promising genotypes that could be used for rice hybridization, genetic improvement and rice hybrid programme in Nigeria.},
 year = {2020}
}

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TY - JOUR
T1 - Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria
AU - Exonam Amegan
AU - Andrew Efisue
AU - Malachy Akoroda
AU - Afeez Shittu
AU - Fiot Tonegnikes
Y1 - 2020/01/23
PY - 2020
N1 - https://doi.org/10.11648/j.ijgg.20200801.13
DO - 10.11648/j.ijgg.20200801.13
T2 - International Journal of Genetics and Genomics
JF - International Journal of Genetics and Genomics
JO - International Journal of Genetics and Genomics
SP - 19
EP - 28
PB - Science Publishing Group
SN - 2376-7359
UR - https://doi.org/10.11648/j.ijgg.20200801.13
AB - Background and objectives Assessment of genetic diversity is a prerequisite for any crop improvement program. It helps plant breeders in identifying promising lines for possible crosses. Materials and methods: This study was carried out at AfricaRice Center, International Institute of Tropical Agriculture (IITA) Ibadan, Nigeria, and evaluated 123 accessions from South Korea with 7 genotypes form Africa. The experiment was conducted in dry season using Alpha lattice design with 26 blocks each planted in five entries, replicated two times. Results: PCA showed that the first four components accounted for 73.59% of the total variation. Thus, suggest the presence of large genetic variability, which is of important, as it gives wide spectrum of selection to the breeders. Among all genotypes UPN296, UPN248 and UPN272 showed higher number of productive tillers, while UPN255, UPN332, and UPN 285 were superior for 1000-grain weight. The genotypes such as UPN277 and UPN261 proved to be better for number of spikelets, while UPN347, UPN266, and UPIA2 were better for grain yield. Cluster analysis grouped the 130 genotypes into 4 clusters. All the 17 SSRs markers used were polymorphic. A total of 70 alleles were obtained with an average of 4.12, and ranged from 2 to 6. PIC values ranged from 0.34 to 0.76 with an average of 0.53 with 17 SSR markers. UPGMA dendrogram based on similarity index of simple matching grouped 130 genotypes into three clusters. Conclusion. UPN347, UPN277, UPN296, UPN255 and UPIA2 shown to be the most promising genotypes that could be used for rice hybridization, genetic improvement and rice hybrid programme in Nigeria.
VL - 8
IS - 1
ER -

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Author Information

Exonam Amegan

Life and Earth Sciences Institute, (Including Health and Agriculture), Pan African University, University of Ibadan, Ibadan, Nigeria
Andrew Efisue

Department of Crop & Soil Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria
Malachy Akoroda

Department of Agronomy, Faculty of Agriculture, University of Ibadan, Ibadan, Nigeria
Afeez Shittu

AfricaRice Center, IITA Ibadan, Nigeria
Fiot Tonegnikes

Life and Earth Sciences Institute, (Including Health and Agriculture), Pan African University, University of Ibadan, Ibadan, Nigeria

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Exonam Amegan, Andrew Efisue, Malachy Akoroda, Afeez Shittu, Fiot Tonegnikes. (2020). Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria. International Journal of Genetics and Genomics, 8(1), 19-28. https://doi.org/10.11648/j.ijgg.20200801.13

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Exonam Amegan; Andrew Efisue; Malachy Akoroda; Afeez Shittu; Fiot Tonegnikes. Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria. Int. J. Genet. Genomics 2020, 8(1), 19-28. doi: 10.11648/j.ijgg.20200801.13

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AMA Style

Exonam Amegan, Andrew Efisue, Malachy Akoroda, Afeez Shittu, Fiot Tonegnikes. Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria. Int J Genet Genomics. 2020;8(1):19-28. doi: 10.11648/j.ijgg.20200801.13

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@article{10.11648/j.ijgg.20200801.13,
  author = {Exonam Amegan and Andrew Efisue and Malachy Akoroda and Afeez Shittu and Fiot Tonegnikes},
  title = {Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria},
  journal = {International Journal of Genetics and Genomics},
  volume = {8},
  number = {1},
  pages = {19-28},
  doi = {10.11648/j.ijgg.20200801.13},
  url = {https://doi.org/10.11648/j.ijgg.20200801.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20200801.13},
  abstract = {Background and objectives Assessment of genetic diversity is a prerequisite for any crop improvement program. It helps plant breeders in identifying promising lines for possible crosses. Materials and methods: This study was carried out at AfricaRice Center, International Institute of Tropical Agriculture (IITA) Ibadan, Nigeria, and evaluated 123 accessions from South Korea with 7 genotypes form Africa. The experiment was conducted in dry season using Alpha lattice design with 26 blocks each planted in five entries, replicated two times. Results: PCA showed that the first four components accounted for 73.59% of the total variation. Thus, suggest the presence of large genetic variability, which is of important, as it gives wide spectrum of selection to the breeders. Among all genotypes UPN296, UPN248 and UPN272 showed higher number of productive tillers, while UPN255, UPN332, and UPN 285 were superior for 1000-grain weight. The genotypes such as UPN277 and UPN261 proved to be better for number of spikelets, while UPN347, UPN266, and UPIA2 were better for grain yield. Cluster analysis grouped the 130 genotypes into 4 clusters. All the 17 SSRs markers used were polymorphic. A total of 70 alleles were obtained with an average of 4.12, and ranged from 2 to 6. PIC values ranged from 0.34 to 0.76 with an average of 0.53 with 17 SSR markers. UPGMA dendrogram based on similarity index of simple matching grouped 130 genotypes into three clusters. Conclusion. UPN347, UPN277, UPN296, UPN255 and UPIA2 shown to be the most promising genotypes that could be used for rice hybridization, genetic improvement and rice hybrid programme in Nigeria.},
 year = {2020}
}

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