Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (<i>Colocasia esculenta</i> (L.) Schott)

Tewodros Mulualem; Getachew Etana Gemechu; Neim Semman

doi:doi:10.11648/j.abb.20231101.11

| Peer-Reviewed

Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott)

Tewodros Mulualem, Getachew Etana Gemechu, Neim Semman

Published in Advances in Bioscience and Bioengineering (Volume 11, Issue 1)

Received: 11 May 2022 Accepted: 30 January 2023 Published: 21 March 2023

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The experiment was conducted to evaluate the nature and the extent of the genotype and environment interactions, to select stable and high yielding taro genotypes for fresh storage corm yield, and related traits to identify the most representative and discriminating environment in southwest Ethiopian regions. The study was tested across four environments (Jimma, Agaro, Gera, and Metu) for two cropping seasons in southwest Ethiopia. Nine selected and promising genotypes and one standard check (Denu) were evaluated by using RCBD that replicated three times. The important data were collected from all tested location and analyzed using different statistical software’s. The analyzed result showed significant differences (p<0.01) for genotype, environment, and genotype by environment interactions (GEI) effects for all the traits evaluated exceptions to the root length. It also revealed that the extent of the mean square of the environment was more than those of the genotype and GEI for all traits targeted and indicated the uniqueness of the test environment. The genotypes 053 and 133 were identified as an ideal genotypes being high yield and wider adaptability hence nominated for release and then for production. The GGE bi-plot also identified Agaro-2 and Gera-2 were the most ideal environment for the evaluated of taro genotypes for their important useable traits. Four mega-environments (MGE) were identified for taro breeding; where environments Agaro-22, Gera-2, and Gera-1 combined into MGE-1, environments Metu-1, and Jimma-1 fell into a separate MGE-2, and environments Jimma-2 and Agaro-1 pooled into MGE-3, and Metu-2 separated into MGE-4, respectively.

Published in	Advances in Bioscience and Bioengineering (Volume 11, Issue 1)
DOI	10.11648/j.abb.20231101.11
Page(s)	1-11
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), 2023. Published by Science Publishing Group

Keywords

AMMI, Genotype by Environment Interaction, GGE Bi-plot, Taro and Yield

References

[1]	Adelekan, B. A., 2012. An evaluation of the global potential of cocoyam (Colocasia and Xanthosoma species) as an energy crop. British Journal of Applied Science and Technology, 2 (1), pp. 1-15.
[2]	Donkor, E. F., Nyadanu, D., Akromah, R. and Osei, K., 2020. Genotype-by-environment interaction and stability of taro [Colocasia esculenta (l.) Schott.] genotypes for yield and yield components. Ecological Genetics and Genomics, 17, p. 100070.
[3]	Singh, D., Mace, E. S., Godwin, I. D., Mathur, P. N., Okpul, T., Taylor, M., Hunter, D., Kambuou, R., Rao, V. R. and Jackson, G., 2008. Assessment and rationalization of genetic diversity of Papua New Guinea taro (Colocasia esculenta) using SSR DNA fingerprinting. Genetic Resources and Crop Evolution, 55 (6), pp. 811-822.
[4]	Mulualem, T., WeldeMichael, G. and Belachew, K., 2013. Genetic diversity of Taro (Colocasia esculenta (L.) Schott) genotypes in Ethiopia based on agronomic traits. Time J. Agric. Vet. Sci, 1 (2), pp. 23-30.
[5]	Dagne, Y., Mulualem, T. and Kifle, A., 2014. Development of high yielding Taro (Colocacia esculenta L.) Variety for mid altitude growing areas of Southern Ethiopia. Journal of Plant Sciences, 2 (1), pp. 50-54.
[6]	Singh, S., Singh, D. R., Faseela, F., Kumar, N., Damodaran, V. and Srivastava, R. C., 2012. Diversity of 21 taro (Colocasia esculenta (L.) Schott) accessions of Andaman Islands. Genetic resources and crop evolution, 59 (5), pp. 821-829.
[7]	Banjaw, D. T., 2017. Review of taro (Colocasia esculenta) genetics and breeding. Journal of Horticulture, 4 (1), pp. 1-4.
[8]	Kifle, A., Belew, D. and Tesfaye, K., 2020. AMMI-and GGE biplot analysis of taro (Colocasia esculenta (L.) Schott) genotypes in Southern Ethiopia. Ethiopian Journal of Applied Science and Technology, 11 (1), pp. 1-12.
[9]	Fan, X. M., Kang, M. S., Chen, H., Zhang, Y., Tan, J. and Xu, C., 2007. Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan, China. Agronomy Journal, 99 (1), pp. 220-228.
[10]	Yan, W. and Tinker, N. A., 2006. Bi-plot analysis of multi-environment trial data: Principles and applications. Canadian Journal of plant science, 86 (3), pp. 623-645.
[11]	Yan, W. and Rajcan, I., 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Science, 42 (1), pp. 11-20.
[12]	Singh D., Guaf J., Okpul T., Wiles G. and Hunter D. 2006. Taro (Colocasia esculenta) variety release recommendations for Papua New Guinea based on multi-location trials, N. Z. J. Crop Hortic. Sci. 34 (2): 163–171.
[13]	Eze, C. E., Nwofia, G. E. and Onyeka, J., 2016. An Assessment of Taro yield and stability using Ammi and GGE Biplot Models. J Exper Agr Int, 14 (2): pp. 1-9.
[14]	Yan, W., Cornelius, P. L., Crossa, J. and Hunt, L. A., 2001. Two types of GGE biplots for analyzing multi-environment trial data. Crop Science, 41 (3), pp. 656-663.
[15]	Owusu, G. A., Nyadanu, D., Owusu-Mensah, P., Amoah, R. A., Amissah, S. and Danso, F. C., 2018. Determining the effect of genotype× environment interactions on grain yield and stability of hybrid maize cultivars under multiple environments in Ghana. Ecological Genetics and Genomics, 9: pp. 7-15.
[16]	Gauch Jr, H. G. and Zobel, R. W., 1997. Identifying mega-environments and targeting genotypes. Crop Science, 37 (2): pp. 311-326.
[17]	Yan, W., Hunt, L. A., Sheng, Q. and Szlavnics, Z., 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40 (3): pp. 597-605.
[18]	Gauch H. G, and Zobel, R. W. 1996. AMMI analysis of yield trials, in: M. S. Kang, H. G. Gauch Jr. (Eds.), Genotype-by Environment Interaction, CRC Press, Boca Raton, CRE CRC, New York, pp. 85–122.
[19]	Aina, O., Dixon, A., and Akinrinde, E. 2007. Additive main effects and multiplicative interaction (AMMI) analysis for the yield of cassava in Nigeria. Journal of biological sciences, 7 (5), 796-800.
[20]	Badu-Apraku, B. and Oyekunle, M., 2012. Genetic analysis of grain yield and other traits of extra-early yellow maize inbreds and hybrid performance under contrasting environments. Field Crops Research, 129, pp. 99-110.
[21]	JARC (Jimma Agricultural Research Center). 2010. Mean annual Metrogical satation data.
[22]	Levett, M. P., 1993. The effects of methods of planting cuttings of sweet potato (Ipomoea batatas (L.) Lam.) on yield. Tropical Agriculture, 70 (2), pp. 110-115.
[23]	Steel, R and Torrie, J. 1980. Principle and procedures of statistics a Biometrical Approach. 2nd ed. Mc Graw-Hill, Inc. 471-473.
[24]	SAS Institute. 2007. Statistical Analytical Systems SAS/STAT user's guide version 9 (2) Cary NC: SAS institute inc.
[25]	Payne, G. T., Moore, C. B., Griffis, S. E. and Autry, C. W., 2011. Multilevel challenges and opportunities in social capital research. Journal of Management, 37 (2), pp. 491-520.
[26]	Gauch, HG. 2013. “A simple protocol for AMMI analysis of yield trials.” Crop Science 53: 1860–1869.
[27]	Malhotra, R. S., Singh, M. and Erskine, W., 2007. Genotype× environment interaction and identification of dual-season cultivars in chickpea. Euphytica, 158 (1), pp. 119-127.
[28]	Yan, W., Kang, M. S., Ma, B., Woods, S. and Cornelius, P. L., 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science, 47 (2), pp. 643-653.
[29]	Duma, S. W., Shimelis, H., Ramburan, S. and Shayanowako, A. I., 2019. Genotype-by-region interactions of released sugarcane varieties for cane yield in the South African sugar industry. Journal of Crop Improvement, 33 (4), pp. 478-504.

Cite This Article

Plain Text BibTeX RIS

APA Style

Tewodros Mulualem, Getachew Etana Gemechu, Neim Semman. (2023). Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott). Advances in Bioscience and Bioengineering, 11(1), 1-11. https://doi.org/10.11648/j.abb.20231101.11

Copy | Download

ACS Style

Tewodros Mulualem; Getachew Etana Gemechu; Neim Semman. Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott). Adv. BioSci. Bioeng. 2023, 11(1), 1-11. doi: 10.11648/j.abb.20231101.11

Copy | Download

AMA Style

Tewodros Mulualem, Getachew Etana Gemechu, Neim Semman. Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott). Adv BioSci Bioeng. 2023;11(1):1-11. doi: 10.11648/j.abb.20231101.11

Copy | Download

@article{10.11648/j.abb.20231101.11,
  author = {Tewodros Mulualem and Getachew Etana Gemechu and Neim Semman},
  title = {Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott)},
  journal = {Advances in Bioscience and Bioengineering},
  volume = {11},
  number = {1},
  pages = {1-11},
  doi = {10.11648/j.abb.20231101.11},
  url = {https://doi.org/10.11648/j.abb.20231101.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.abb.20231101.11},
  abstract = {The experiment was conducted to evaluate the nature and the extent of the genotype and environment interactions, to select stable and high yielding taro genotypes for fresh storage corm yield, and related traits to identify the most representative and discriminating environment in southwest Ethiopian regions. The study was tested across four environments (Jimma, Agaro, Gera, and Metu) for two cropping seasons in southwest Ethiopia. Nine selected and promising genotypes and one standard check (Denu) were evaluated by using RCBD that replicated three times. The important data were collected from all tested location and analyzed using different statistical software’s. The analyzed result showed significant differences (p<0.01) for genotype, environment, and genotype by environment interactions (GEI) effects for all the traits evaluated exceptions to the root length. It also revealed that the extent of the mean square of the environment was more than those of the genotype and GEI for all traits targeted and indicated the uniqueness of the test environment. The genotypes 053 and 133 were identified as an ideal genotypes being high yield and wider adaptability hence nominated for release and then for production. The GGE bi-plot also identified Agaro-2 and Gera-2 were the most ideal environment for the evaluated of taro genotypes for their important useable traits. Four mega-environments (MGE) were identified for taro breeding; where environments Agaro-22, Gera-2, and Gera-1 combined into MGE-1, environments Metu-1, and Jimma-1 fell into a separate MGE-2, and environments Jimma-2 and Agaro-1 pooled into MGE-3, and Metu-2 separated into MGE-4, respectively.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott)
AU  - Tewodros Mulualem
AU  - Getachew Etana Gemechu
AU  - Neim Semman
Y1  - 2023/03/21
PY  - 2023
N1  - https://doi.org/10.11648/j.abb.20231101.11
DO  - 10.11648/j.abb.20231101.11
T2  - Advances in Bioscience and Bioengineering
JF  - Advances in Bioscience and Bioengineering
JO  - Advances in Bioscience and Bioengineering
SP  - 1
EP  - 11
PB  - Science Publishing Group
SN  - 2330-4162
UR  - https://doi.org/10.11648/j.abb.20231101.11
AB  - The experiment was conducted to evaluate the nature and the extent of the genotype and environment interactions, to select stable and high yielding taro genotypes for fresh storage corm yield, and related traits to identify the most representative and discriminating environment in southwest Ethiopian regions. The study was tested across four environments (Jimma, Agaro, Gera, and Metu) for two cropping seasons in southwest Ethiopia. Nine selected and promising genotypes and one standard check (Denu) were evaluated by using RCBD that replicated three times. The important data were collected from all tested location and analyzed using different statistical software’s. The analyzed result showed significant differences (p<0.01) for genotype, environment, and genotype by environment interactions (GEI) effects for all the traits evaluated exceptions to the root length. It also revealed that the extent of the mean square of the environment was more than those of the genotype and GEI for all traits targeted and indicated the uniqueness of the test environment. The genotypes 053 and 133 were identified as an ideal genotypes being high yield and wider adaptability hence nominated for release and then for production. The GGE bi-plot also identified Agaro-2 and Gera-2 were the most ideal environment for the evaluated of taro genotypes for their important useable traits. Four mega-environments (MGE) were identified for taro breeding; where environments Agaro-22, Gera-2, and Gera-1 combined into MGE-1, environments Metu-1, and Jimma-1 fell into a separate MGE-2, and environments Jimma-2 and Agaro-1 pooled into MGE-3, and Metu-2 separated into MGE-4, respectively.
VL  - 11
IS  - 1
ER  -

Copy | Download

Author Information

Tewodros Mulualem

Department of Horticultural Crop Research, Crop Science Research, Jimma Agricultural Research Center, Jimma, Ethiopia
Getachew Etana Gemechu

Department of Horticultural Crop Research, Crop Science Research, Jimma Agricultural Research Center, Jimma, Ethiopia
Neim Semman

Department of Horticultural Crop Research, Crop Science Research, Jimma Agricultural Research Center, Jimma, Ethiopia

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Tewodros Mulualem, Getachew Etana Gemechu, Neim Semman. (2023). Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott). Advances in Bioscience and Bioengineering, 11(1), 1-11. https://doi.org/10.11648/j.abb.20231101.11

Copy | Download

ACS Style

Tewodros Mulualem; Getachew Etana Gemechu; Neim Semman. Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott). Adv. BioSci. Bioeng. 2023, 11(1), 1-11. doi: 10.11648/j.abb.20231101.11

Copy | Download

AMA Style

Tewodros Mulualem, Getachew Etana Gemechu, Neim Semman. Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott). Adv BioSci Bioeng. 2023;11(1):1-11. doi: 10.11648/j.abb.20231101.11

Copy | Download

@article{10.11648/j.abb.20231101.11,
  author = {Tewodros Mulualem and Getachew Etana Gemechu and Neim Semman},
  title = {Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott)},
  journal = {Advances in Bioscience and Bioengineering},
  volume = {11},
  number = {1},
  pages = {1-11},
  doi = {10.11648/j.abb.20231101.11},
  url = {https://doi.org/10.11648/j.abb.20231101.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.abb.20231101.11},
  abstract = {The experiment was conducted to evaluate the nature and the extent of the genotype and environment interactions, to select stable and high yielding taro genotypes for fresh storage corm yield, and related traits to identify the most representative and discriminating environment in southwest Ethiopian regions. The study was tested across four environments (Jimma, Agaro, Gera, and Metu) for two cropping seasons in southwest Ethiopia. Nine selected and promising genotypes and one standard check (Denu) were evaluated by using RCBD that replicated three times. The important data were collected from all tested location and analyzed using different statistical software’s. The analyzed result showed significant differences (p<0.01) for genotype, environment, and genotype by environment interactions (GEI) effects for all the traits evaluated exceptions to the root length. It also revealed that the extent of the mean square of the environment was more than those of the genotype and GEI for all traits targeted and indicated the uniqueness of the test environment. The genotypes 053 and 133 were identified as an ideal genotypes being high yield and wider adaptability hence nominated for release and then for production. The GGE bi-plot also identified Agaro-2 and Gera-2 were the most ideal environment for the evaluated of taro genotypes for their important useable traits. Four mega-environments (MGE) were identified for taro breeding; where environments Agaro-22, Gera-2, and Gera-1 combined into MGE-1, environments Metu-1, and Jimma-1 fell into a separate MGE-2, and environments Jimma-2 and Agaro-1 pooled into MGE-3, and Metu-2 separated into MGE-4, respectively.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Genotype, Environment, and GXE Interaction Effect on Some Selected Traits of Taro (Colocasia esculenta (L.) Schott)
AU  - Tewodros Mulualem
AU  - Getachew Etana Gemechu
AU  - Neim Semman
Y1  - 2023/03/21
PY  - 2023
N1  - https://doi.org/10.11648/j.abb.20231101.11
DO  - 10.11648/j.abb.20231101.11
T2  - Advances in Bioscience and Bioengineering
JF  - Advances in Bioscience and Bioengineering
JO  - Advances in Bioscience and Bioengineering
SP  - 1
EP  - 11
PB  - Science Publishing Group
SN  - 2330-4162
UR  - https://doi.org/10.11648/j.abb.20231101.11
AB  - The experiment was conducted to evaluate the nature and the extent of the genotype and environment interactions, to select stable and high yielding taro genotypes for fresh storage corm yield, and related traits to identify the most representative and discriminating environment in southwest Ethiopian regions. The study was tested across four environments (Jimma, Agaro, Gera, and Metu) for two cropping seasons in southwest Ethiopia. Nine selected and promising genotypes and one standard check (Denu) were evaluated by using RCBD that replicated three times. The important data were collected from all tested location and analyzed using different statistical software’s. The analyzed result showed significant differences (p<0.01) for genotype, environment, and genotype by environment interactions (GEI) effects for all the traits evaluated exceptions to the root length. It also revealed that the extent of the mean square of the environment was more than those of the genotype and GEI for all traits targeted and indicated the uniqueness of the test environment. The genotypes 053 and 133 were identified as an ideal genotypes being high yield and wider adaptability hence nominated for release and then for production. The GGE bi-plot also identified Agaro-2 and Gera-2 were the most ideal environment for the evaluated of taro genotypes for their important useable traits. Four mega-environments (MGE) were identified for taro breeding; where environments Agaro-22, Gera-2, and Gera-1 combined into MGE-1, environments Metu-1, and Jimma-1 fell into a separate MGE-2, and environments Jimma-2 and Agaro-1 pooled into MGE-3, and Metu-2 separated into MGE-4, respectively.
VL  - 11
IS  - 1
ER  -

Copy | Download