The study was conducted during the main cropping season of 2019/2020 to evaluate advanced sunflower genotypes for its stability over multiple environments. The study was carried out at six locations namely; Holeta, Debrezeit, Fenoteselam, Arsi Negele, Kulumsa and Ambo. Randomized complete block design with four replication was used in layout of the experiment. Data were collected for seed yield and yield related components and subjected to analysis using R-software. AMMI and GGE-biplot were used to estimate the stability of genotypes across test environments. The results from AMMI analysis of variance showed that there is significant difference for environment, genotype and genotype by environment interaction for seed yield. AMMI analysis of variance for oil content revealed the significant differences for genotypes, genotype by environment interaction and non-significant for environment. The Gollob’s test showed that total variation greater than 70% was explained together by PC1 and PC2 for both seed yield and oil content. AMMI 1 bi-plot analysis for seed yield revealed that E1 and E5 was high seed yielder than others and genotypes, G4, G5 and G2 were stable genotypes relative to others. AMMI2 Bi-plot showed genotypes G3, G1, G6 and G8 were stable for seed yield whereas, G7, G8 and G1 were stable for oil content.
| Published in | Cell Biology (Volume 11, Issue 1) |
| DOI | 10.11648/j.cb.20231101.12 |
| Page(s) | 8-11 |
| 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 |
AMMI, Genotype X Environment Interaction, Stability, Sunflower, Ethiopia
| [1] | Ghaffari M, Davaji AMNR, Ghadimi FN (2019) Oil yield determinant of sunower in climatically different regions of Iran. Bulgarian Journal of Agricultural Science 25: 67–71. |
| [2] | Dimitrijevic, A., Imerovski, I., Miladinovic, D., Cvejic, S., Jocic, S., Zeremski, T., et al. (2017). Oleic acid variation and marker-assisted detection of Pervenets mutation in high- and low-oleic sunflower cross. Crop Breed. Appl. Biotechnol. 17, 229–235. doi: 10.1590/1984-70332017v17n3a362239007ja. |
| [3] | Pandey, G. (2018). Challenges and future prospects of agri-nanotechnology for sustainable agriculture in India. Environmental Journal of Agriculture, Environment and Biotechnology, 10 (6), 675–680. |
| [4] | Vilvert, E., Lana, M., Zander, P., & Sieber, S. (2018). Multi-model approach for assessing the sunflower food value chain in Tanzania. Agricultural Systems, 159, 103–110. |
| [5] | Munda S, Sarma N, Lal M, Aromatic M, Group EP (2020) GxE interaction of 72 accessions with three year evaluation of Cymbopogon winterianus Jowitt. Using regression coecient and Additive Main effects and Multiplicative Interaction model (AMMI). Ind Crops Prod 146: 112169. |
| [6] | Aarthi S, Suresh J, Leela N, Prasath D (2020) Multi environment testing reveals genotypeenvironment interaction for curcuminoids in turmeric (Curcuma longa L.). Ind Crops Prod 145: 112090. |
| [7] | Yan W, Kang MS (2003) GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton. |
| [8] | Yan W, Hunt LA, Sheng Q, Szlavnics Z (2000) Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci 40: 597–605. |
| [9] | Gauch HG Jr (2006) Statistical analysis of yield trials by AMMI and GGE. Crop Sci 46: 1488–1500. |
| [10] | Dallo SC, Zdziarski AD, Woyann LG, Milioli AS, Zanella R, Conte J, Benin G (2019) Across year and year-by-year GGE biplot analysis to evaluate soybean performance and stability in multi-environment trials. Euphytica 215: 1–12. |
| [11] | Da Cruz DP, de Amaral Gravina G, Vivas M, Entringer GC, Rocha RS, da Costa Jaeggi MEP, Gravina LM, Pereira IM, do Junior A, A. T. and de Moraes R (2020) Analysis of the phenotypic adaptability and stability of strains of cowpea through the GGE Biplot approach. Euphytica, 216: 1–11. |
| [12] | Jia C, Wang F, Yuan J, Zhang Y, Zhao Z, Abulizi B, Wen X, Kang M, Tang F (2020) Screening and comprehensive evaluation of rice (Oryza sativa L. subsp. japonica Kato) germplasm resources for nitrogen eciency in Xinjiang, China. Plant Genetic Resources 18: 179–189. |
| [13] | Ebdon, J. S. and Gauch, G. H. 2002. Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: I. Interpretation of genotype x environment interaction. Crop Science, 42: 489-496. |
| [14] | Gauch, H. G. and Zobel, R. W. 1996. AMMI analysis of yield trials. In: Genotype by Environment Interaction, 85-122, (Kang, M. and Gauch, H. eds). Boca Raton. CRC Press, New York. |
| [15] | Voltas, J., Van, E. F., Igartua, E., García Del Moral, L. F., Molina-Cano, J. L. and Romagosa, I. 2002. Genotype by environment interaction and adaptation in barley breeding: Basic concepts and methods of analysis. In Slafer, Molina, R., Savin, J. L. and Araus, I. R (eds.) Barley Science: Recent Advances from Molecular Biology to Agronomy of Yield and Quality. The Harworth Press Inc., New York, 205-241. |
| [16] | Sharma RC, Morgounov A, Baun H, Beyhan A, Mesut A, Dedoshvili D, Ahmet B, Martius C, Maarten V G. 2009. Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica 171 (1): 53-64. |
APA Style
Mohammed Abu. (2023). Genotype by Environment Interaction and Stability Analysis in Sunflower Genotypes. Cell Biology, 11(1), 8-11. https://doi.org/10.11648/j.cb.20231101.12
ACS Style
Mohammed Abu. Genotype by Environment Interaction and Stability Analysis in Sunflower Genotypes. Cell Biol. 2023, 11(1), 8-11. doi: 10.11648/j.cb.20231101.12
AMA Style
Mohammed Abu. Genotype by Environment Interaction and Stability Analysis in Sunflower Genotypes. Cell Biol. 2023;11(1):8-11. doi: 10.11648/j.cb.20231101.12
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Download@article{10.11648/j.cb.20231101.12,
author = {Mohammed Abu},
title = {Genotype by Environment Interaction and Stability Analysis in Sunflower Genotypes},
journal = {Cell Biology},
volume = {11},
number = {1},
pages = {8-11},
doi = {10.11648/j.cb.20231101.12},
url = {https://doi.org/10.11648/j.cb.20231101.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cb.20231101.12},
abstract = {The study was conducted during the main cropping season of 2019/2020 to evaluate advanced sunflower genotypes for its stability over multiple environments. The study was carried out at six locations namely; Holeta, Debrezeit, Fenoteselam, Arsi Negele, Kulumsa and Ambo. Randomized complete block design with four replication was used in layout of the experiment. Data were collected for seed yield and yield related components and subjected to analysis using R-software. AMMI and GGE-biplot were used to estimate the stability of genotypes across test environments. The results from AMMI analysis of variance showed that there is significant difference for environment, genotype and genotype by environment interaction for seed yield. AMMI analysis of variance for oil content revealed the significant differences for genotypes, genotype by environment interaction and non-significant for environment. The Gollob’s test showed that total variation greater than 70% was explained together by PC1 and PC2 for both seed yield and oil content. AMMI 1 bi-plot analysis for seed yield revealed that E1 and E5 was high seed yielder than others and genotypes, G4, G5 and G2 were stable genotypes relative to others. AMMI2 Bi-plot showed genotypes G3, G1, G6 and G8 were stable for seed yield whereas, G7, G8 and G1 were stable for oil content.},
year = {2023}
}
TY - JOUR T1 - Genotype by Environment Interaction and Stability Analysis in Sunflower Genotypes AU - Mohammed Abu Y1 - 2023/10/09 PY - 2023 N1 - https://doi.org/10.11648/j.cb.20231101.12 DO - 10.11648/j.cb.20231101.12 T2 - Cell Biology JF - Cell Biology JO - Cell Biology SP - 8 EP - 11 PB - Science Publishing Group SN - 2330-0183 UR - https://doi.org/10.11648/j.cb.20231101.12 AB - The study was conducted during the main cropping season of 2019/2020 to evaluate advanced sunflower genotypes for its stability over multiple environments. The study was carried out at six locations namely; Holeta, Debrezeit, Fenoteselam, Arsi Negele, Kulumsa and Ambo. Randomized complete block design with four replication was used in layout of the experiment. Data were collected for seed yield and yield related components and subjected to analysis using R-software. AMMI and GGE-biplot were used to estimate the stability of genotypes across test environments. The results from AMMI analysis of variance showed that there is significant difference for environment, genotype and genotype by environment interaction for seed yield. AMMI analysis of variance for oil content revealed the significant differences for genotypes, genotype by environment interaction and non-significant for environment. The Gollob’s test showed that total variation greater than 70% was explained together by PC1 and PC2 for both seed yield and oil content. AMMI 1 bi-plot analysis for seed yield revealed that E1 and E5 was high seed yielder than others and genotypes, G4, G5 and G2 were stable genotypes relative to others. AMMI2 Bi-plot showed genotypes G3, G1, G6 and G8 were stable for seed yield whereas, G7, G8 and G1 were stable for oil content. VL - 11 IS - 1 ER -
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