Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (<i>Oryza sativa</i> L.) Varieties Using AMMI and GGE biplot

Zelalem Zewdu; Abebaw Dessie; Fisseha Worede; Mulugeta Atinaf; Assaye Berie; Zeyinu Tahir; Hailegebrial Kinfe; Mulugeta Bitew

doi:doi:10.11648/j.plant.20200804.11

Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot

Zelalem Zewdu, Abebaw Dessie, Fisseha Worede, Mulugeta Atinaf, Assaye Berie, Zeyinu Tahir, Hailegebrial Kinfe, Mulugeta Bitew

Published in Plant (Volume 8, Issue 4)

Received: 9 March 2020 Accepted: 29 September 2020 Published: 23 November 2020

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Abstract

A field experiment was conducted in the rainfed upland rice producing areas of Ethiopia; Gonder, Pawe and Shire-Maitsebrie during 2017 and 2018 cropping seasons. Thirteen upland rice varieties were tested with the objective of examining the agronomic performance and yield stability of the varieties using Additive Main Effect and Multiplicative Interaction (AMMI) and Genotype and Genotype by Environment (GGE) biplot analysis. The AMMI analysis of variance for grain yield detected significant effects for genotypes, environments and genotype by environment interactions. Environment effect was responsible for the greatest part of the variation, followed by genotype by environment interaction and genotype effects. Based on the AMMI stability analysis G1, G2 and G5 were the most stable genotypes, while G13, G3 and G12 were the most responsive ones. The GGE biplot also showed that G13, G3, G12 and G10 have long vectors and located far away from the biplot origin and hence are considered to have larger contribution to GEI. Among the tested genotypes G1 (Fogera-1), G5 (Andassa) and G2 (Adet) gave high yield and good stability across environments and can be recommended for production for the testing sites and similar upland rice producing areas of Ethiopia.

Published in	Plant (Volume 8, Issue 4)
DOI	10.11648/j.plant.20200804.11
Page(s)	87-92
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

Genotype, GGE, AMMI, Stability

References

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[3]	Gauch, H. G. (1992). Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier, Amsterdam.
[4]	Hailegebrial K., Yiergalem T., Alem R., Redae W., Desalegn Y., Welegerima G. (2017). Yield and Yield Related Performance of upland rice genotypes in Tselemti district, North Ethiopia.
[5]	Matus-Cadiz MA, P. Hucl, CE. Perron and Tyler RT. (2003). Genotype x environment interaction for grain color in hard white spring wheat. Crop Sci 43: 219-226
[6]	Ministry of Agriculture and Rural Development (2010). National rice research and development strategy of Ethiopia. Addis Ababa, Ethiopia, pp. 48.
[7]	Naroui Rad M. R., Abdul Kadir M., Rafii M. Y., Hawa Z. E., Jaafar, Farzaneh Ahmadi (2013). Genotype x environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought conditions.
[8]	Payne RW, Murray DA, Harding SA, Baird DB, Soutar DM. (2009). An introduction to GenStat for Windows (12^th edition). VSN International, the Waterhouse Street, Hemel Hem stead, UK.
[9]	Peyman S., Hashem A., Rahman E., Ali M., Abouzar A. (2017). Evaluation of genotype × environment interaction in rice based on AMMI model in Iran.
[10]	Sewagegne Tariku (2017). Evaluation of upland rice genotypes and Mega environment investigation based on GGE-Biplot analysis.
[11]	Tadesse L. Abebaw D. Sewagegne T. Desta A. (2017). Evaluation of Performance and yield stability analysis based on AMMI and GGE models in Introduced upland rice genotypes tested across Northwest Ethiopia.
[12]	Untung S., Wage R., Sarah B. Johnson, Ali J. (2015). GGE biplot analysis for genotype x environment interaction on yield trait of high Iron content rice genotypes in Indonesian irrigated environments.
[13]	Weikai Yan and Nicholas A. Tinker (2006). Biplot analysis of multi-environment trial data: Principles and applications.
[14]	Yan, W., L. A. Hunt, Q. Sheng and Szlavnics Z. (2001). Cultivar evaluation and mega- environment investigation based on the GGE biplot. Crop Sci. 40: 597-605.
[15]	Yan, W., and Kang M. S. (2003). GGE Biplot Analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton, FL.
[16]	Yan W, Tinker AN. (2006). Biplot analysis of multi- environment trial data: Principles and applications. Can J Plant Sci. 86(3): 623–645.
[17]	Zobel, W. R., Wright, W. J., Gauch, H. G., (1988). Statistical analysis of yield trial. Agron. J. 80, 388-393.

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Zelalem Zewdu, Abebaw Dessie, Fisseha Worede, Mulugeta Atinaf, Assaye Berie, et al. (2020). Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot. Plant, 8(4), 87-92. https://doi.org/10.11648/j.plant.20200804.11

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ACS Style

Zelalem Zewdu; Abebaw Dessie; Fisseha Worede; Mulugeta Atinaf; Assaye Berie, et al. Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot. Plant. 2020, 8(4), 87-92. doi: 10.11648/j.plant.20200804.11

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AMA Style

Zelalem Zewdu, Abebaw Dessie, Fisseha Worede, Mulugeta Atinaf, Assaye Berie, et al. Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot. Plant. 2020;8(4):87-92. doi: 10.11648/j.plant.20200804.11

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@article{10.11648/j.plant.20200804.11,
  author = {Zelalem Zewdu and Abebaw Dessie and Fisseha Worede and Mulugeta Atinaf and Assaye Berie and Zeyinu Tahir and Hailegebrial Kinfe and Mulugeta Bitew},
  title = {Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot},
  journal = {Plant},
  volume = {8},
  number = {4},
  pages = {87-92},
  doi = {10.11648/j.plant.20200804.11},
  url = {https://doi.org/10.11648/j.plant.20200804.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.plant.20200804.11},
  abstract = {A field experiment was conducted in the rainfed upland rice producing areas of Ethiopia; Gonder, Pawe and Shire-Maitsebrie during 2017 and 2018 cropping seasons. Thirteen upland rice varieties were tested with the objective of examining the agronomic performance and yield stability of the varieties using Additive Main Effect and Multiplicative Interaction (AMMI) and Genotype and Genotype by Environment (GGE) biplot analysis. The AMMI analysis of variance for grain yield detected significant effects for genotypes, environments and genotype by environment interactions. Environment effect was responsible for the greatest part of the variation, followed by genotype by environment interaction and genotype effects. Based on the AMMI stability analysis G1, G2 and G5 were the most stable genotypes, while G13, G3 and G12 were the most responsive ones. The GGE biplot also showed that G13, G3, G12 and G10 have long vectors and located far away from the biplot origin and hence are considered to have larger contribution to GEI. Among the tested genotypes G1 (Fogera-1), G5 (Andassa) and G2 (Adet) gave high yield and good stability across environments and can be recommended for production for the testing sites and similar upland rice producing areas of Ethiopia.},
 year = {2020}
}

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TY  - JOUR
T1  - Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot
AU  - Zelalem Zewdu
AU  - Abebaw Dessie
AU  - Fisseha Worede
AU  - Mulugeta Atinaf
AU  - Assaye Berie
AU  - Zeyinu Tahir
AU  - Hailegebrial Kinfe
AU  - Mulugeta Bitew
Y1  - 2020/11/23
PY  - 2020
N1  - https://doi.org/10.11648/j.plant.20200804.11
DO  - 10.11648/j.plant.20200804.11
T2  - Plant
JF  - Plant
JO  - Plant
SP  - 87
EP  - 92
PB  - Science Publishing Group
SN  - 2331-0677
UR  - https://doi.org/10.11648/j.plant.20200804.11
AB  - A field experiment was conducted in the rainfed upland rice producing areas of Ethiopia; Gonder, Pawe and Shire-Maitsebrie during 2017 and 2018 cropping seasons. Thirteen upland rice varieties were tested with the objective of examining the agronomic performance and yield stability of the varieties using Additive Main Effect and Multiplicative Interaction (AMMI) and Genotype and Genotype by Environment (GGE) biplot analysis. The AMMI analysis of variance for grain yield detected significant effects for genotypes, environments and genotype by environment interactions. Environment effect was responsible for the greatest part of the variation, followed by genotype by environment interaction and genotype effects. Based on the AMMI stability analysis G1, G2 and G5 were the most stable genotypes, while G13, G3 and G12 were the most responsive ones. The GGE biplot also showed that G13, G3, G12 and G10 have long vectors and located far away from the biplot origin and hence are considered to have larger contribution to GEI. Among the tested genotypes G1 (Fogera-1), G5 (Andassa) and G2 (Adet) gave high yield and good stability across environments and can be recommended for production for the testing sites and similar upland rice producing areas of Ethiopia.
VL  - 8
IS  - 4
ER  -

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Author Information

Zelalem Zewdu

Ethiopian Institute of Agricultural Research, Fogera National Rice Research and Training Center, Woreta, Ethiopia
Abebaw Dessie

Ethiopian Institute of Agricultural Research, Fogera National Rice Research and Training Center, Woreta, Ethiopia
Fisseha Worede

Ethiopian Institute of Agricultural Research, Fogera National Rice Research and Training Center, Woreta, Ethiopia
Mulugeta Atinaf

Ethiopian Institute of Agricultural Research, Fogera National Rice Research and Training Center, Woreta, Ethiopia
Assaye Berie

Ethiopian Institute of Agricultural Research, Fogera National Rice Research and Training Center, Woreta, Ethiopia
Zeyinu Tahir

Amhhara Regional Agricultural Research Institute, Gondar Agricultural Research Center, Gonder, Ethiopia
Hailegebrial Kinfe

Tigray Regional Agricultural Research Institute, Shire-Maitsebri Agricultural Research Center, Shire, Ethiopia
Mulugeta Bitew

Ethiopian Institute of Agricultural Research, Pawe Agricultural Research Center, Pawe, Ethiopia

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APA Style

Zelalem Zewdu, Abebaw Dessie, Fisseha Worede, Mulugeta Atinaf, Assaye Berie, et al. (2020). Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot. Plant, 8(4), 87-92. https://doi.org/10.11648/j.plant.20200804.11

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ACS Style

Zelalem Zewdu; Abebaw Dessie; Fisseha Worede; Mulugeta Atinaf; Assaye Berie, et al. Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot. Plant. 2020, 8(4), 87-92. doi: 10.11648/j.plant.20200804.11

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AMA Style

Zelalem Zewdu, Abebaw Dessie, Fisseha Worede, Mulugeta Atinaf, Assaye Berie, et al. Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot. Plant. 2020;8(4):87-92. doi: 10.11648/j.plant.20200804.11

Copy | Download

@article{10.11648/j.plant.20200804.11,
  author = {Zelalem Zewdu and Abebaw Dessie and Fisseha Worede and Mulugeta Atinaf and Assaye Berie and Zeyinu Tahir and Hailegebrial Kinfe and Mulugeta Bitew},
  title = {Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot},
  journal = {Plant},
  volume = {8},
  number = {4},
  pages = {87-92},
  doi = {10.11648/j.plant.20200804.11},
  url = {https://doi.org/10.11648/j.plant.20200804.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.plant.20200804.11},
  abstract = {A field experiment was conducted in the rainfed upland rice producing areas of Ethiopia; Gonder, Pawe and Shire-Maitsebrie during 2017 and 2018 cropping seasons. Thirteen upland rice varieties were tested with the objective of examining the agronomic performance and yield stability of the varieties using Additive Main Effect and Multiplicative Interaction (AMMI) and Genotype and Genotype by Environment (GGE) biplot analysis. The AMMI analysis of variance for grain yield detected significant effects for genotypes, environments and genotype by environment interactions. Environment effect was responsible for the greatest part of the variation, followed by genotype by environment interaction and genotype effects. Based on the AMMI stability analysis G1, G2 and G5 were the most stable genotypes, while G13, G3 and G12 were the most responsive ones. The GGE biplot also showed that G13, G3, G12 and G10 have long vectors and located far away from the biplot origin and hence are considered to have larger contribution to GEI. Among the tested genotypes G1 (Fogera-1), G5 (Andassa) and G2 (Adet) gave high yield and good stability across environments and can be recommended for production for the testing sites and similar upland rice producing areas of Ethiopia.},
 year = {2020}
}

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TY  - JOUR
T1  - Agronomic Performance Evaluation and Yield Stability Analysis of Upland Rice (Oryza sativa L.) Varieties Using AMMI and GGE biplot
AU  - Zelalem Zewdu
AU  - Abebaw Dessie
AU  - Fisseha Worede
AU  - Mulugeta Atinaf
AU  - Assaye Berie
AU  - Zeyinu Tahir
AU  - Hailegebrial Kinfe
AU  - Mulugeta Bitew
Y1  - 2020/11/23
PY  - 2020
N1  - https://doi.org/10.11648/j.plant.20200804.11
DO  - 10.11648/j.plant.20200804.11
T2  - Plant
JF  - Plant
JO  - Plant
SP  - 87
EP  - 92
PB  - Science Publishing Group
SN  - 2331-0677
UR  - https://doi.org/10.11648/j.plant.20200804.11
AB  - A field experiment was conducted in the rainfed upland rice producing areas of Ethiopia; Gonder, Pawe and Shire-Maitsebrie during 2017 and 2018 cropping seasons. Thirteen upland rice varieties were tested with the objective of examining the agronomic performance and yield stability of the varieties using Additive Main Effect and Multiplicative Interaction (AMMI) and Genotype and Genotype by Environment (GGE) biplot analysis. The AMMI analysis of variance for grain yield detected significant effects for genotypes, environments and genotype by environment interactions. Environment effect was responsible for the greatest part of the variation, followed by genotype by environment interaction and genotype effects. Based on the AMMI stability analysis G1, G2 and G5 were the most stable genotypes, while G13, G3 and G12 were the most responsive ones. The GGE biplot also showed that G13, G3, G12 and G10 have long vectors and located far away from the biplot origin and hence are considered to have larger contribution to GEI. Among the tested genotypes G1 (Fogera-1), G5 (Andassa) and G2 (Adet) gave high yield and good stability across environments and can be recommended for production for the testing sites and similar upland rice producing areas of Ethiopia.
VL  - 8
IS  - 4
ER  -

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