Studying genotype-by-environment interaction and determining representative testing environments are important for releasing new varieties with high mean performance and stability. The experiment was laid out in randomized complete block design with three replications. Ten potato genotypes were evaluated to study their adaptability and stability in six environments of North Shewa Zone of Oromia Region. Multivariate methods (AMMI and GGE biplot) were used to identify high yielding and stable genotypes. The result of AMMI`s analysis of variance showed that genotype, Environment and genotype-by-environment interaction, and interaction principal component analysis (IPCA-I and IPCA-II) had significant effects on tuber yield. Genotype variance was the most significant source of variation, accounting for 53.43% of the total variation. The AMMI model's first two IPCAs (IPCA-I and IPCA-II) explained about 84.18% of the total GE interaction. GGE biplot analysis grouped the six test sites into one mega environments. CIP-313022. 68 (G07), CIP-313022. 218 (G05), and CIP-313034. 03 (G02) were the most stable and high-yielding genotypes across test environments, whereas G03 was a low-yielded and unstable variety. G04 was highly stable in tested locations and high yields. AMMI and GGE bi-plot analysis identified that CIP-313022. 68 (G07) and CIP-313022. 218 (G05) are high-performing and stable across test sites. The highest-yielding and stable genotypes, CIP-313022. 68 (G07) and CIP-313022. 218 (G05), were proposed and recommended for release in North Shewa Zone Oromia Region.
| Published in | Innovation (Volume 7, Issue 2) |
| DOI | 10.11648/j.innov.20260702.17 |
| Page(s) | 79-86 |
| 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), 2026. Published by Science Publishing Group |
AMMI-biplot, GxE, GGE-biplot, Potato, Stability
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APA Style
Tegenu, Z. (2026). Genotype by Environment Interaction and Stability Analysis for Potato (Solanum Tuberosum l.) Genotypes in North Shewa Zone of Oromia Region. Innovation, 7(2), 79-86. https://doi.org/10.11648/j.innov.20260702.17
ACS Style
Tegenu, Z. Genotype by Environment Interaction and Stability Analysis for Potato (Solanum Tuberosum l.) Genotypes in North Shewa Zone of Oromia Region. Innovation. 2026, 7(2), 79-86. doi: 10.11648/j.innov.20260702.17
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Download@article{10.11648/j.innov.20260702.17,
author = {Zewdu Tegenu},
title = {Genotype by Environment Interaction and Stability Analysis for Potato (Solanum Tuberosum l.) Genotypes in North Shewa Zone of Oromia Region},
journal = {Innovation},
volume = {7},
number = {2},
pages = {79-86},
doi = {10.11648/j.innov.20260702.17},
url = {https://doi.org/10.11648/j.innov.20260702.17},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.innov.20260702.17},
abstract = {Studying genotype-by-environment interaction and determining representative testing environments are important for releasing new varieties with high mean performance and stability. The experiment was laid out in randomized complete block design with three replications. Ten potato genotypes were evaluated to study their adaptability and stability in six environments of North Shewa Zone of Oromia Region. Multivariate methods (AMMI and GGE biplot) were used to identify high yielding and stable genotypes. The result of AMMI`s analysis of variance showed that genotype, Environment and genotype-by-environment interaction, and interaction principal component analysis (IPCA-I and IPCA-II) had significant effects on tuber yield. Genotype variance was the most significant source of variation, accounting for 53.43% of the total variation. The AMMI model's first two IPCAs (IPCA-I and IPCA-II) explained about 84.18% of the total GE interaction. GGE biplot analysis grouped the six test sites into one mega environments. CIP-313022. 68 (G07), CIP-313022. 218 (G05), and CIP-313034. 03 (G02) were the most stable and high-yielding genotypes across test environments, whereas G03 was a low-yielded and unstable variety. G04 was highly stable in tested locations and high yields. AMMI and GGE bi-plot analysis identified that CIP-313022. 68 (G07) and CIP-313022. 218 (G05) are high-performing and stable across test sites. The highest-yielding and stable genotypes, CIP-313022. 68 (G07) and CIP-313022. 218 (G05), were proposed and recommended for release in North Shewa Zone Oromia Region.},
year = {2026}
}
TY - JOUR T1 - Genotype by Environment Interaction and Stability Analysis for Potato (Solanum Tuberosum l.) Genotypes in North Shewa Zone of Oromia Region AU - Zewdu Tegenu Y1 - 2026/06/29 PY - 2026 N1 - https://doi.org/10.11648/j.innov.20260702.17 DO - 10.11648/j.innov.20260702.17 T2 - Innovation JF - Innovation JO - Innovation SP - 79 EP - 86 PB - Science Publishing Group SN - 2994-7138 UR - https://doi.org/10.11648/j.innov.20260702.17 AB - Studying genotype-by-environment interaction and determining representative testing environments are important for releasing new varieties with high mean performance and stability. The experiment was laid out in randomized complete block design with three replications. Ten potato genotypes were evaluated to study their adaptability and stability in six environments of North Shewa Zone of Oromia Region. Multivariate methods (AMMI and GGE biplot) were used to identify high yielding and stable genotypes. The result of AMMI`s analysis of variance showed that genotype, Environment and genotype-by-environment interaction, and interaction principal component analysis (IPCA-I and IPCA-II) had significant effects on tuber yield. Genotype variance was the most significant source of variation, accounting for 53.43% of the total variation. The AMMI model's first two IPCAs (IPCA-I and IPCA-II) explained about 84.18% of the total GE interaction. GGE biplot analysis grouped the six test sites into one mega environments. CIP-313022. 68 (G07), CIP-313022. 218 (G05), and CIP-313034. 03 (G02) were the most stable and high-yielding genotypes across test environments, whereas G03 was a low-yielded and unstable variety. G04 was highly stable in tested locations and high yields. AMMI and GGE bi-plot analysis identified that CIP-313022. 68 (G07) and CIP-313022. 218 (G05) are high-performing and stable across test sites. The highest-yielding and stable genotypes, CIP-313022. 68 (G07) and CIP-313022. 218 (G05), were proposed and recommended for release in North Shewa Zone Oromia Region. VL - 7 IS - 2 ER -
Fitche Agricultural Research Center, Oromia Agricultural Research Institute (IQQO), Fitche, Ethiopia
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