Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia

Tadele Tadesse; Gashaw Sefera; Belay Asmare; Amanuel Teklaign

doi:doi:10.11648/j.cbe.20180303.13

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Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia

Tadele Tadesse, Gashaw Sefera, Belay Asmare, Amanuel Teklaign

Published in Chemical and Biomolecular Engineering (Volume 3, Issue 3)

Received: 3 September 2018 Accepted: 17 September 2018 Published: 24 October 2018

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Abstract

In order to identify the agronomic performance and yield stability of the large red bean genotypes, sixteen large red bean genotypes were evaluated in the midlands of bale zone at Goro, Ginir and Dellomena for two consecutive years 2016 and 2017 main cropping season. The genotypes were arranged in randomized complete block design with four replications having plot size of 6.4m2 (4 rows at 40cm spacing and 4m long). The analysis of variance revealed that highly significant variation for environment, genotypes and year X Location, whereas GEI (Genotypes by Environment interaction) showed significant variation for mean grain yield. Of the total sum squares of variation observed, 38.33% was accounted for environment followed by genotypes 11.53% and GEI 4.51%. The significant effect of GE interaction reflected on the differential response of genotypes in various environments and demonstrated that GE interaction had remarkable effect on genotypic performance in different environments. The application of AMMI model for partitioning the GE interaction effects showed that only the first two terms of AMMI were significant. In the AMMI analysis, out of the total GEI variation observed, the first AMMI explained 78.28% of the variation whereas 21.72% was accounted for the AMMI2. A combination of high grain yield potential, stabilityparameter of regression coefficient of unity and minimum deviation mean squares from regression identifies G4 as moderately stable genotype with high grain yield deserved to be promoted for possible release as commercial variety for the midlands of Bale zone and similar agro-ecologies.

Published in	Chemical and Biomolecular Engineering (Volume 3, Issue 3)
DOI	10.11648/j.cbe.20180303.13
Page(s)	35-39
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), 2018. Published by Science Publishing Group

Keywords

AMMI, Common Bean, GEI, Stability, Variation

References

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[17]	Peyman S, Hashem A, Rahman E, Ali M, and Abouzar A. 2017. Evaluation of Genotype × Environment Interaction in Rice Based on AMMI Model in Iran. Rice Science, 2017, 24(3): 173-180.
[18]	Pereira HS, Melo LC, Del Peloso MJ, De Faria MJC, Da Costa LGC, Cabrera DL. 2009 Comparison of methods for phenotypic adaptability and stability analysis in com-mon bean. PesqAgropec. 44: 374-383.
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APA Style

Tadele Tadesse, Gashaw Sefera, Belay Asmare, Amanuel Teklaign. (2018). Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia. Chemical and Biomolecular Engineering, 3(3), 35-39. https://doi.org/10.11648/j.cbe.20180303.13

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ACS Style

Tadele Tadesse; Gashaw Sefera; Belay Asmare; Amanuel Teklaign. Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia. Chem. Biomol. Eng. 2018, 3(3), 35-39. doi: 10.11648/j.cbe.20180303.13

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AMA Style

Tadele Tadesse, Gashaw Sefera, Belay Asmare, Amanuel Teklaign. Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia. Chem Biomol Eng. 2018;3(3):35-39. doi: 10.11648/j.cbe.20180303.13

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@article{10.11648/j.cbe.20180303.13,
  author = {Tadele Tadesse and Gashaw Sefera and Belay Asmare and Amanuel Teklaign},
  title = {Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia},
  journal = {Chemical and Biomolecular Engineering},
  volume = {3},
  number = {3},
  pages = {35-39},
  doi = {10.11648/j.cbe.20180303.13},
  url = {https://doi.org/10.11648/j.cbe.20180303.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cbe.20180303.13},
  abstract = {In order to identify the agronomic performance and yield stability of the large red bean genotypes, sixteen large red bean genotypes were evaluated in the midlands of bale zone at Goro, Ginir and Dellomena for two consecutive years 2016 and 2017 main cropping season. The genotypes were arranged in randomized complete block design with four replications having plot size of 6.4m2 (4 rows at 40cm spacing and 4m long). The analysis of variance revealed that highly significant variation for environment, genotypes and year X Location, whereas GEI (Genotypes by Environment interaction) showed significant variation for mean grain yield. Of the total sum squares of variation observed, 38.33% was accounted for environment followed by genotypes 11.53% and GEI 4.51%. The significant effect of GE interaction reflected on the differential response of genotypes in various environments and demonstrated that GE interaction had remarkable effect on genotypic performance in different environments. The application of AMMI model for partitioning the GE interaction effects showed that only the first two terms of AMMI were significant. In the AMMI analysis, out of the total GEI variation observed, the first AMMI explained 78.28% of the variation whereas 21.72% was accounted for the AMMI2. A combination of high grain yield potential, stabilityparameter of regression coefficient of unity and minimum deviation mean squares from regression identifies G4 as moderately stable genotype with high grain yield deserved to be promoted for possible release as commercial variety for the midlands of Bale zone and similar agro-ecologies.},
 year = {2018}
}

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TY  - JOUR
T1  - Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia
AU  - Tadele Tadesse
AU  - Gashaw Sefera
AU  - Belay Asmare
AU  - Amanuel Teklaign
Y1  - 2018/10/24
PY  - 2018
N1  - https://doi.org/10.11648/j.cbe.20180303.13
DO  - 10.11648/j.cbe.20180303.13
T2  - Chemical and Biomolecular Engineering
JF  - Chemical and Biomolecular Engineering
JO  - Chemical and Biomolecular Engineering
SP  - 35
EP  - 39
PB  - Science Publishing Group
SN  - 2578-8884
UR  - https://doi.org/10.11648/j.cbe.20180303.13
AB  - In order to identify the agronomic performance and yield stability of the large red bean genotypes, sixteen large red bean genotypes were evaluated in the midlands of bale zone at Goro, Ginir and Dellomena for two consecutive years 2016 and 2017 main cropping season. The genotypes were arranged in randomized complete block design with four replications having plot size of 6.4m2 (4 rows at 40cm spacing and 4m long). The analysis of variance revealed that highly significant variation for environment, genotypes and year X Location, whereas GEI (Genotypes by Environment interaction) showed significant variation for mean grain yield. Of the total sum squares of variation observed, 38.33% was accounted for environment followed by genotypes 11.53% and GEI 4.51%. The significant effect of GE interaction reflected on the differential response of genotypes in various environments and demonstrated that GE interaction had remarkable effect on genotypic performance in different environments. The application of AMMI model for partitioning the GE interaction effects showed that only the first two terms of AMMI were significant. In the AMMI analysis, out of the total GEI variation observed, the first AMMI explained 78.28% of the variation whereas 21.72% was accounted for the AMMI2. A combination of high grain yield potential, stabilityparameter of regression coefficient of unity and minimum deviation mean squares from regression identifies G4 as moderately stable genotype with high grain yield deserved to be promoted for possible release as commercial variety for the midlands of Bale zone and similar agro-ecologies.
VL  - 3
IS  - 3
ER  -

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Author Information

Tadele Tadesse

Oromia Agriculture Research Institute, Sinana Agriculture Research Center, Bale-Robe, Ethiopia
Gashaw Sefera

Oromia Agriculture Research Institute, Sinana Agriculture Research Center, Bale-Robe, Ethiopia
Belay Asmare

Oromia Agriculture Research Institute, Sinana Agriculture Research Center, Bale-Robe, Ethiopia
Amanuel Teklaign

Oromia Agriculture Research Institute, Sinana Agriculture Research Center, Bale-Robe, Ethiopia

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APA Style

Tadele Tadesse, Gashaw Sefera, Belay Asmare, Amanuel Teklaign. (2018). Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia. Chemical and Biomolecular Engineering, 3(3), 35-39. https://doi.org/10.11648/j.cbe.20180303.13

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ACS Style

Tadele Tadesse; Gashaw Sefera; Belay Asmare; Amanuel Teklaign. Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia. Chem. Biomol. Eng. 2018, 3(3), 35-39. doi: 10.11648/j.cbe.20180303.13

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AMA Style

Tadele Tadesse, Gashaw Sefera, Belay Asmare, Amanuel Teklaign. Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia. Chem Biomol Eng. 2018;3(3):35-39. doi: 10.11648/j.cbe.20180303.13

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@article{10.11648/j.cbe.20180303.13,
  author = {Tadele Tadesse and Gashaw Sefera and Belay Asmare and Amanuel Teklaign},
  title = {Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia},
  journal = {Chemical and Biomolecular Engineering},
  volume = {3},
  number = {3},
  pages = {35-39},
  doi = {10.11648/j.cbe.20180303.13},
  url = {https://doi.org/10.11648/j.cbe.20180303.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cbe.20180303.13},
  abstract = {In order to identify the agronomic performance and yield stability of the large red bean genotypes, sixteen large red bean genotypes were evaluated in the midlands of bale zone at Goro, Ginir and Dellomena for two consecutive years 2016 and 2017 main cropping season. The genotypes were arranged in randomized complete block design with four replications having plot size of 6.4m2 (4 rows at 40cm spacing and 4m long). The analysis of variance revealed that highly significant variation for environment, genotypes and year X Location, whereas GEI (Genotypes by Environment interaction) showed significant variation for mean grain yield. Of the total sum squares of variation observed, 38.33% was accounted for environment followed by genotypes 11.53% and GEI 4.51%. The significant effect of GE interaction reflected on the differential response of genotypes in various environments and demonstrated that GE interaction had remarkable effect on genotypic performance in different environments. The application of AMMI model for partitioning the GE interaction effects showed that only the first two terms of AMMI were significant. In the AMMI analysis, out of the total GEI variation observed, the first AMMI explained 78.28% of the variation whereas 21.72% was accounted for the AMMI2. A combination of high grain yield potential, stabilityparameter of regression coefficient of unity and minimum deviation mean squares from regression identifies G4 as moderately stable genotype with high grain yield deserved to be promoted for possible release as commercial variety for the midlands of Bale zone and similar agro-ecologies.},
 year = {2018}
}

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TY  - JOUR
T1  - Agronomic Performance and Yield Stability of Large Red Bean Genotypes Using AMMI Model in Midlands of Bale Zone, South-Eastern Ethiopia
AU  - Tadele Tadesse
AU  - Gashaw Sefera
AU  - Belay Asmare
AU  - Amanuel Teklaign
Y1  - 2018/10/24
PY  - 2018
N1  - https://doi.org/10.11648/j.cbe.20180303.13
DO  - 10.11648/j.cbe.20180303.13
T2  - Chemical and Biomolecular Engineering
JF  - Chemical and Biomolecular Engineering
JO  - Chemical and Biomolecular Engineering
SP  - 35
EP  - 39
PB  - Science Publishing Group
SN  - 2578-8884
UR  - https://doi.org/10.11648/j.cbe.20180303.13
AB  - In order to identify the agronomic performance and yield stability of the large red bean genotypes, sixteen large red bean genotypes were evaluated in the midlands of bale zone at Goro, Ginir and Dellomena for two consecutive years 2016 and 2017 main cropping season. The genotypes were arranged in randomized complete block design with four replications having plot size of 6.4m2 (4 rows at 40cm spacing and 4m long). The analysis of variance revealed that highly significant variation for environment, genotypes and year X Location, whereas GEI (Genotypes by Environment interaction) showed significant variation for mean grain yield. Of the total sum squares of variation observed, 38.33% was accounted for environment followed by genotypes 11.53% and GEI 4.51%. The significant effect of GE interaction reflected on the differential response of genotypes in various environments and demonstrated that GE interaction had remarkable effect on genotypic performance in different environments. The application of AMMI model for partitioning the GE interaction effects showed that only the first two terms of AMMI were significant. In the AMMI analysis, out of the total GEI variation observed, the first AMMI explained 78.28% of the variation whereas 21.72% was accounted for the AMMI2. A combination of high grain yield potential, stabilityparameter of regression coefficient of unity and minimum deviation mean squares from regression identifies G4 as moderately stable genotype with high grain yield deserved to be promoted for possible release as commercial variety for the midlands of Bale zone and similar agro-ecologies.
VL  - 3
IS  - 3
ER  -

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