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Genotypes by Environment Interaction of Faba Bean (Viciafaba L.) Grain Yield in the Highland of Bale Zone, Southeastern Ethiopia

Received: 06 October 2016    Accepted: 19 October 2016    Published: 23 November 2016
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Abstract

Faba bean (Viciafaba L.) is widely cultivated in Ethiopia next to China. Faba bean (Viciafaba L.) is a partially Allogamous grain legumes grown for its high protein content in seed. The edible protein in the seed is used for human and animal consumption. The crop contributes to soil fertility through biological N-fixation. Though it is grows in many part of the country, the national average yield is very low due to multiple factors such as limited availability of stable high yielding and disease resistant cultivar. To this end, an experiment was conducted at Sinana, Agarfa, Adaba and Sinja for two years (2013-2014) to investigate the genotype x environment interaction and identify stable high yielding genotypes. Fifteen genotypes including the improved and local checks were grown in RCBD. Additive main effects and multiplicative interaction (AMMI) analysis was used to estimate genotype x environment interaction and found to be significant (P<0.01). The principal components (IPCA1) and (IPCA 2) explained 52.8% and 47.2% of the interaction, respectively. Mean grain yield of genotypes ranged from 2.6t/ha to 4.2t/ha with grand mean of 3.3t/ha. Most of the genotypes were highly responsive to the testing environment and adapted to more favorable environments. Genotype EH03014-1 and EKLS01013-1 gave higher grain yield than the checks, showed linear regression coefficient close to unity and deviation from regression close to zero. This implied that the two candidate genotypes showed stable performance across locations. Furthermore, EH03014-1 and EKLS01013-1 are resistant to major disease and showed20.41% and 14.58% grain yield advantage over the standard check, respectively. Based on their performance across locations, stability parameters, and their yield advantage over the checks, these two genotypes were selected as candidate varieties for verification in the coming bona 2016/17 cropping season.

DOI 10.11648/j.plant.20170501.13
Published in Plant (Volume 5, Issue 1, January 2017)
Page(s) 13-17
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

Genotypes X Environment Interaction, AMMI, Stability Parameters, ASV

References
[1] Annicchiarico, P (1997). Joint regression versus AMMI analysis of genotype x environment interaction for cereals in Italy. Euphytica 94: 53-62.
[2] CropStat (2009). Crop Research Informatics Laboratory. Metro Manila, Philippines.
[3] Crossa J, Gauch HG, Zobel RW (1990). Additive main effect and multiplicative interaction analysis of two maize cultivar trials. Crop Science 30: 493-500.
[4] (CSA) Central Statistical Authority. 2013. Central Statistics Authority Report on Area Production of Major Crops Stat. Bull. Agric. Sample Survey, Volume, III Addis Ababa, Ethiopia.
[5] Gauch, H. G. and Zobel, R. W. 1996. AMMI analysis of yield trials. In: Genotype by Environment Inter-action, pp. 85-122, (Kang, M. and Gauch, H. eds). Boca Raton. CRC Press, New York.
[6] Gauch, H. G. and Zobel, R. W. 1997. identifying mega-environments and targeting genotypes. Crop Sceince37: 311-326.
[7] Mussa J, Gemechu K (2006). Vicia faba L. In: Brink M, Belay G (eds) Plant Resource of Tropical Africa 1: Cereals and Pulses, PROTA Foundation, Wageningen, Netherlands/Backhuys Publishers, Leiden, Netherlands/CTA, Wageningen, Netherlands 2006, pp. 195-199.
[8] Poehlman JM, Slepper DA (1996). Breeding Field Crops (4th edition). Iowa State University Press. Ames, Iowa.
[9] Purchase JL, Hating H, Van Deventer CS(2000). Genotype x environment interaction of winter wheat (triticum aestivum L.) in South Africa II. Stability analysis of yield performance. S. Afr. J. Plant and soil.17: 101-107.
[10] Zobel, R. W., Wright, M. J., and Gauch, G. 1988. Statistical analysis of a yield trial. Agronomy Journal80: 388-393.
Author Information
  • Oromia Agricultural Research Institute, Sinana Agricultural Research Center, Bale-Robe, Ethiopia

  • Oromia Agricultural Research Institute, Sinana Agricultural Research Center, Bale-Robe, Ethiopia

  • Oromia Agricultural Research Institute, Sinana Agricultural Research Center, Bale-Robe, Ethiopia

  • Oromia Agricultural Research Institute, Sinana Agricultural Research Center, Bale-Robe, Ethiopia

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    Tadele Tadesse, Behailu Mulugeta, Gashaw Sefera, Amanuel Tekalign. (2016). Genotypes by Environment Interaction of Faba Bean (Viciafaba L.) Grain Yield in the Highland of Bale Zone, Southeastern Ethiopia. Plant, 5(1), 13-17. https://doi.org/10.11648/j.plant.20170501.13

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    ACS Style

    Tadele Tadesse; Behailu Mulugeta; Gashaw Sefera; Amanuel Tekalign. Genotypes by Environment Interaction of Faba Bean (Viciafaba L.) Grain Yield in the Highland of Bale Zone, Southeastern Ethiopia. Plant. 2016, 5(1), 13-17. doi: 10.11648/j.plant.20170501.13

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    AMA Style

    Tadele Tadesse, Behailu Mulugeta, Gashaw Sefera, Amanuel Tekalign. Genotypes by Environment Interaction of Faba Bean (Viciafaba L.) Grain Yield in the Highland of Bale Zone, Southeastern Ethiopia. Plant. 2016;5(1):13-17. doi: 10.11648/j.plant.20170501.13

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  • @article{10.11648/j.plant.20170501.13,
      author = {Tadele Tadesse and Behailu Mulugeta and Gashaw Sefera and Amanuel Tekalign},
      title = {Genotypes by Environment Interaction of Faba Bean (Viciafaba L.) Grain Yield in the Highland of Bale Zone, Southeastern Ethiopia},
      journal = {Plant},
      volume = {5},
      number = {1},
      pages = {13-17},
      doi = {10.11648/j.plant.20170501.13},
      url = {https://doi.org/10.11648/j.plant.20170501.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.plant.20170501.13},
      abstract = {Faba bean (Viciafaba L.) is widely cultivated in Ethiopia next to China. Faba bean (Viciafaba L.) is a partially Allogamous grain legumes grown for its high protein content in seed. The edible protein in the seed is used for human and animal consumption. The crop contributes to soil fertility through biological N-fixation. Though it is grows in many part of the country, the national average yield is very low due to multiple factors such as limited availability of stable high yielding and disease resistant cultivar. To this end, an experiment was conducted at Sinana, Agarfa, Adaba and Sinja for two years (2013-2014) to investigate the genotype x environment interaction and identify stable high yielding genotypes. Fifteen genotypes including the improved and local checks were grown in RCBD. Additive main effects and multiplicative interaction (AMMI) analysis was used to estimate genotype x environment interaction and found to be significant (P<0.01). The principal components (IPCA1) and (IPCA 2) explained 52.8% and 47.2% of the interaction, respectively. Mean grain yield of genotypes ranged from 2.6t/ha to 4.2t/ha with grand mean of 3.3t/ha. Most of the genotypes were highly responsive to the testing environment and adapted to more favorable environments. Genotype EH03014-1 and EKLS01013-1 gave higher grain yield than the checks, showed linear regression coefficient close to unity and deviation from regression close to zero. This implied that the two candidate genotypes showed stable performance across locations. Furthermore, EH03014-1 and EKLS01013-1 are resistant to major disease and showed20.41% and 14.58% grain yield advantage over the standard check, respectively. Based on their performance across locations, stability parameters, and their yield advantage over the checks, these two genotypes were selected as candidate varieties for verification in the coming bona 2016/17 cropping season.},
     year = {2016}
    }
    

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    T1  - Genotypes by Environment Interaction of Faba Bean (Viciafaba L.) Grain Yield in the Highland of Bale Zone, Southeastern Ethiopia
    AU  - Tadele Tadesse
    AU  - Behailu Mulugeta
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    DO  - 10.11648/j.plant.20170501.13
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    PB  - Science Publishing Group
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    AB  - Faba bean (Viciafaba L.) is widely cultivated in Ethiopia next to China. Faba bean (Viciafaba L.) is a partially Allogamous grain legumes grown for its high protein content in seed. The edible protein in the seed is used for human and animal consumption. The crop contributes to soil fertility through biological N-fixation. Though it is grows in many part of the country, the national average yield is very low due to multiple factors such as limited availability of stable high yielding and disease resistant cultivar. To this end, an experiment was conducted at Sinana, Agarfa, Adaba and Sinja for two years (2013-2014) to investigate the genotype x environment interaction and identify stable high yielding genotypes. Fifteen genotypes including the improved and local checks were grown in RCBD. Additive main effects and multiplicative interaction (AMMI) analysis was used to estimate genotype x environment interaction and found to be significant (P<0.01). The principal components (IPCA1) and (IPCA 2) explained 52.8% and 47.2% of the interaction, respectively. Mean grain yield of genotypes ranged from 2.6t/ha to 4.2t/ha with grand mean of 3.3t/ha. Most of the genotypes were highly responsive to the testing environment and adapted to more favorable environments. Genotype EH03014-1 and EKLS01013-1 gave higher grain yield than the checks, showed linear regression coefficient close to unity and deviation from regression close to zero. This implied that the two candidate genotypes showed stable performance across locations. Furthermore, EH03014-1 and EKLS01013-1 are resistant to major disease and showed20.41% and 14.58% grain yield advantage over the standard check, respectively. Based on their performance across locations, stability parameters, and their yield advantage over the checks, these two genotypes were selected as candidate varieties for verification in the coming bona 2016/17 cropping season.
    VL  - 5
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    ER  - 

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