Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia

Tamene T. Tolessa

doi:doi:10.11648/j.jps.20150304.15

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Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia

Tamene T. Tolessa

Published in Journal of Plant Sciences (Volume 3, Issue 4)

Received: 25 June 2015 Accepted: 7 July 2015 Published: 17 July 2015

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Abstract

Seventeen faba bean cultivars released over three decades including four promising genotypes in the pipeline were evaluated at five locations in 2007 and two locations in 2009 main cropping seasons in central highlands of Ethiopia. The objective of the study was to determine the magnitude and pattern of G × E interaction and yield stability. The study was conducted using a randomized complete block design with four replications. G × E interaction and yield stability were estimated using AMMI and Tai’s stability methods. Pooled analysis of variance for grain yield showed significant differences at (p ≤ 0.001) among the main effects of genotypes and environments and at (p ≤ 0.01) for G × E interaction effects. This indicated that either the genotypes differentially responded to the changes in the test environments or the test environments differentially discriminated the genotypes or both. Environment main effect accounted for 73.6% of the total yield variation; whereas, genotype and G × E interaction effects accounted for 5.0% and 8.5%, respectively, indicating the necessity for the need of spatial and temporal replication of variety trial. The first two multiplicative component terms sum of squares of the AMMI explained 66.6% of the interaction effect. No single cultivar showed superior performance across all environments but cultivars TUMSA and DOSHA, followed by CS20DK were top ranked at 71.4% and 57.1% of the environments, respectively and found the most stable across environments. Based on Tai’s stability analysis, eight of the tested cultivars exhibited average stability; whereas, none of them was able to demonstrate a static performance stability. Generally, the application of AMMI and Tai’s methods were facilitated the visual comparison and identification of superior cultivars, thereby supporting decisions on faba bean cultivar recommendation for different environments.

Published in	Journal of Plant Sciences (Volume 3, Issue 4)
DOI	10.11648/j.jps.20150304.15
Page(s)	197-206
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), 2024. Published by Science Publishing Group

Keywords

Cultivars, Faba Bean, G x E Interaction, Grain Yield, Stability

References

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APA Style

Tamene T. Tolessa. (2015). Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia. Journal of Plant Sciences, 3(4), 197-206. https://doi.org/10.11648/j.jps.20150304.15

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ACS Style

Tamene T. Tolessa. Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia. J. Plant Sci. 2015, 3(4), 197-206. doi: 10.11648/j.jps.20150304.15

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AMA Style

Tamene T. Tolessa. Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia. J Plant Sci. 2015;3(4):197-206. doi: 10.11648/j.jps.20150304.15

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@article{10.11648/j.jps.20150304.15,
  author = {Tamene T. Tolessa},
  title = {Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia},
  journal = {Journal of Plant Sciences},
  volume = {3},
  number = {4},
  pages = {197-206},
  doi = {10.11648/j.jps.20150304.15},
  url = {https://doi.org/10.11648/j.jps.20150304.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20150304.15},
  abstract = {Seventeen faba bean cultivars released over three decades including four promising genotypes in the pipeline were evaluated at five locations in 2007 and two locations in 2009 main cropping seasons in central highlands of Ethiopia. The objective of the study was to determine the magnitude and pattern of G × E interaction and yield stability. The study was conducted using a randomized complete block design with four replications. G × E interaction and yield stability were estimated using AMMI and Tai’s stability methods. Pooled analysis of variance for grain yield showed significant differences at (p ≤ 0.001) among the main effects of genotypes and environments and at (p ≤ 0.01) for G × E interaction effects. This indicated that either the genotypes differentially responded to the changes in the test environments or the test environments differentially discriminated the genotypes or both. Environment main effect accounted for 73.6% of the total yield variation; whereas, genotype and G × E interaction effects accounted for 5.0% and 8.5%, respectively, indicating the necessity for the need of spatial and temporal replication of variety trial. The first two multiplicative component terms sum of squares of the AMMI explained 66.6% of the interaction effect. No single cultivar showed superior performance across all environments but cultivars TUMSA and DOSHA, followed by CS20DK were top ranked at 71.4% and 57.1% of the environments, respectively and found the most stable across environments. Based on Tai’s stability analysis, eight of the tested cultivars exhibited average stability; whereas, none of them was able to demonstrate a static performance stability. Generally, the application of AMMI and Tai’s methods were facilitated the visual comparison and identification of superior cultivars, thereby supporting decisions on faba bean cultivar recommendation for different environments.},
 year = {2015}
}

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TY  - JOUR
T1  - Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia
AU  - Tamene T. Tolessa
Y1  - 2015/07/17
PY  - 2015
N1  - https://doi.org/10.11648/j.jps.20150304.15
DO  - 10.11648/j.jps.20150304.15
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 197
EP  - 206
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20150304.15
AB  - Seventeen faba bean cultivars released over three decades including four promising genotypes in the pipeline were evaluated at five locations in 2007 and two locations in 2009 main cropping seasons in central highlands of Ethiopia. The objective of the study was to determine the magnitude and pattern of G × E interaction and yield stability. The study was conducted using a randomized complete block design with four replications. G × E interaction and yield stability were estimated using AMMI and Tai’s stability methods. Pooled analysis of variance for grain yield showed significant differences at (p ≤ 0.001) among the main effects of genotypes and environments and at (p ≤ 0.01) for G × E interaction effects. This indicated that either the genotypes differentially responded to the changes in the test environments or the test environments differentially discriminated the genotypes or both. Environment main effect accounted for 73.6% of the total yield variation; whereas, genotype and G × E interaction effects accounted for 5.0% and 8.5%, respectively, indicating the necessity for the need of spatial and temporal replication of variety trial. The first two multiplicative component terms sum of squares of the AMMI explained 66.6% of the interaction effect. No single cultivar showed superior performance across all environments but cultivars TUMSA and DOSHA, followed by CS20DK were top ranked at 71.4% and 57.1% of the environments, respectively and found the most stable across environments. Based on Tai’s stability analysis, eight of the tested cultivars exhibited average stability; whereas, none of them was able to demonstrate a static performance stability. Generally, the application of AMMI and Tai’s methods were facilitated the visual comparison and identification of superior cultivars, thereby supporting decisions on faba bean cultivar recommendation for different environments.
VL  - 3
IS  - 4
ER  -

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Tamene T. Tolessa

Kulumsa Agricultural Research Center, Kulumsa, Asella, Ethiopia

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Tamene T. Tolessa. (2015). Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia. Journal of Plant Sciences, 3(4), 197-206. https://doi.org/10.11648/j.jps.20150304.15

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ACS Style

Tamene T. Tolessa. Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia. J. Plant Sci. 2015, 3(4), 197-206. doi: 10.11648/j.jps.20150304.15

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AMA Style

Tamene T. Tolessa. Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia. J Plant Sci. 2015;3(4):197-206. doi: 10.11648/j.jps.20150304.15

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@article{10.11648/j.jps.20150304.15,
  author = {Tamene T. Tolessa},
  title = {Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia},
  journal = {Journal of Plant Sciences},
  volume = {3},
  number = {4},
  pages = {197-206},
  doi = {10.11648/j.jps.20150304.15},
  url = {https://doi.org/10.11648/j.jps.20150304.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20150304.15},
  abstract = {Seventeen faba bean cultivars released over three decades including four promising genotypes in the pipeline were evaluated at five locations in 2007 and two locations in 2009 main cropping seasons in central highlands of Ethiopia. The objective of the study was to determine the magnitude and pattern of G × E interaction and yield stability. The study was conducted using a randomized complete block design with four replications. G × E interaction and yield stability were estimated using AMMI and Tai’s stability methods. Pooled analysis of variance for grain yield showed significant differences at (p ≤ 0.001) among the main effects of genotypes and environments and at (p ≤ 0.01) for G × E interaction effects. This indicated that either the genotypes differentially responded to the changes in the test environments or the test environments differentially discriminated the genotypes or both. Environment main effect accounted for 73.6% of the total yield variation; whereas, genotype and G × E interaction effects accounted for 5.0% and 8.5%, respectively, indicating the necessity for the need of spatial and temporal replication of variety trial. The first two multiplicative component terms sum of squares of the AMMI explained 66.6% of the interaction effect. No single cultivar showed superior performance across all environments but cultivars TUMSA and DOSHA, followed by CS20DK were top ranked at 71.4% and 57.1% of the environments, respectively and found the most stable across environments. Based on Tai’s stability analysis, eight of the tested cultivars exhibited average stability; whereas, none of them was able to demonstrate a static performance stability. Generally, the application of AMMI and Tai’s methods were facilitated the visual comparison and identification of superior cultivars, thereby supporting decisions on faba bean cultivar recommendation for different environments.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Application of AMMI and Tai’s Stability Statistics for Yield Stability Analysis in Faba bean (Vicia faba L.) Cultivars Grown in Central Highlands of Ethiopia
AU  - Tamene T. Tolessa
Y1  - 2015/07/17
PY  - 2015
N1  - https://doi.org/10.11648/j.jps.20150304.15
DO  - 10.11648/j.jps.20150304.15
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 197
EP  - 206
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20150304.15
AB  - Seventeen faba bean cultivars released over three decades including four promising genotypes in the pipeline were evaluated at five locations in 2007 and two locations in 2009 main cropping seasons in central highlands of Ethiopia. The objective of the study was to determine the magnitude and pattern of G × E interaction and yield stability. The study was conducted using a randomized complete block design with four replications. G × E interaction and yield stability were estimated using AMMI and Tai’s stability methods. Pooled analysis of variance for grain yield showed significant differences at (p ≤ 0.001) among the main effects of genotypes and environments and at (p ≤ 0.01) for G × E interaction effects. This indicated that either the genotypes differentially responded to the changes in the test environments or the test environments differentially discriminated the genotypes or both. Environment main effect accounted for 73.6% of the total yield variation; whereas, genotype and G × E interaction effects accounted for 5.0% and 8.5%, respectively, indicating the necessity for the need of spatial and temporal replication of variety trial. The first two multiplicative component terms sum of squares of the AMMI explained 66.6% of the interaction effect. No single cultivar showed superior performance across all environments but cultivars TUMSA and DOSHA, followed by CS20DK were top ranked at 71.4% and 57.1% of the environments, respectively and found the most stable across environments. Based on Tai’s stability analysis, eight of the tested cultivars exhibited average stability; whereas, none of them was able to demonstrate a static performance stability. Generally, the application of AMMI and Tai’s methods were facilitated the visual comparison and identification of superior cultivars, thereby supporting decisions on faba bean cultivar recommendation for different environments.
VL  - 3
IS  - 4
ER  -

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