African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6730

Full Length Research Paper

Additive main effects and multiplicative interaction (AMMI) and genotype main effect and genotype by environment interaction (GGE) biplot analysis of large white bean (Phaseolus vulgaris L.) genotypes across environments in Ethiopia

Abel Moges Firew
  • Abel Moges Firew
  • Ethiopian Institute of Agricultural Research, Melkassa Agricultural Research Center, Ethiopia.
  • Google Scholar
Berhanu Amsalu
  • Berhanu Amsalu
  • Ethiopian Institute of Agricultural Research, Melkassa Agricultural Research Center, Ethiopia.
  • Google Scholar
Dagmawit Tsegaye
  • Dagmawit Tsegaye
  • Ethiopian Institute of Agricultural Research, Melkassa Agricultural Research Center, Ethiopia.
  • Google Scholar


  •  Received: 19 May 2019
  •  Accepted: 21 June 2019
  •  Published: 31 December 2019

References

Ali K, Seid A, Beniwal S, Gemechu K, Rajendra S, Malhotra K, Halila MH (2006). Food and forage legumes in Ethiopia. Progress and prospects: Proceedings of the workshop on food and forage legumes 22-26 September 2003, Addis Ababa, Ethiopia.

 

Annicchiarico P (2002). Genotype × environment interactions: challenges and opportunities for plant breeding and cultivar recommendations. FAO, Plant Production and Protection Paper 174, FAO, Rome.

 

Asfaw A, Assefa T, Amsalu B, Negash K, Alemayehu F, Grum F, Rezene Y, Finensa C, Atnaf M, Daba C (2008). Adaptation and Yield Stability of small Red Bean Elite Lines in Ethiopia. International Journal of Plant Breeding and Genetics 2(2):51-63.
Crossref

 

Crossa J, Gauch HG, Zobel RW (1990). Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Science 30:493-500.
Crossref

 

(Central Statistical Agency CSA) (2017). Federal Democratic Republic of Ethiopia, Agricultural sample survey: Report on area and production of major crops (Private peasant holdings, Meher season). Statistical bulletin 584, volume I. Addis Ababa, Ethiopia.

 

Ebdon JS, Gauch HG (2002). Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: I. Interpretation of genotype × environment interaction. Crop Science 42:489-496.
Crossref

 

Farshadfar E, Mahmodi N, Yaghotipoor A (2011). AMMI stability value and simultaneous estimation of yield and yield stability in bread wheat (Triticum aestivum L.). Australian Journal of Crop Science 5(13):1837-1844

 

Ferris SE, Kaganzi (2008). Evaluating marketing opportunities for haricot beans in Ethiopia. IPMS (Improving Productivity and Market Success) of Ethiopian Farmers Project Working Paper 7. International Livestock Research Institute, Nairobi, Kenya.

 

Firew M (2003). Yield stability in common bean (Phaseolus vulgaris L.) genotypes. Euphatica 130:147153.

 

Gauch HG (1992). Statistical analysis of regional trials. AMMI analysis of factorial design. 1st edn. Elsevier, New York.

 

Gauch HG, Zobel RW (1996). Optimal replication in selection experiments. Crop Science 36:838-843.
Crossref

 

Gauch HG, Zobel RW (1997). Identifying mega environments and targeting genotypes. Crop Science 37:311-326.
Crossref

 

Kaya Y, Akcura M, Taner S (2006). GGE biplot analysis of multi environment yield trials in bread wheat. Turkish Journal of Agriculture 30:325-337.

 

Matus-Cadiz MA, Hucl P, Peron CE, Tyler RT (2003). Genotype × environment interaction for grain color in hard white spring wheat. Crop Science 43:219-226.
Crossref

 

Mitrovic B, Stanisavljevi D, Treski S, Stojakovic M, Ivanovic M, Bekavac G, Rajkovic M (2012). Evaluation of experimental Maize hybrids tested in Multi-location trials using AMMI and GGE biplot analysis. Turkish Journal of Field Crops 17(1):35-40.

 

Mukherjee AK, Mohapatra LK, Jambhulker NN, Nayak P (2013). Additive main effects and multiplicative interaction (AMMI) analysis of G×E interactions in rice-blast pathosystem to identify stable resistant genotypes. African Journal of Agricultural Research 8(44):5492-5507

 

Naheif EMM, Alaa AS, Karam AA (2013). Additive main effects and multiplicative interaction (AMMI) and GGE-biplot analysis of genotype × environment interactions for grain yield in bread wheat (Triticum aestivum L.). African Journal of Agricultural Research 8(42):5197-5203

 

Purchase JL, Hatting H, Deventer CS (2000). Genotype x environment interaction of winter wheat (Triticum aestivum L.) in South Africa: I. AMMI analysis of yield performance. South African Journal of Plant and Soil 17(3):95-100.
Crossref

 

Samonte SOPB, Wilson LT, McClung AM, Medley JC (2005). Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analysis. Crop Science 45:2414-2424.
Crossref

 

Tadele T, Amanuel T, Behailu M, Gashaw S (2018). Evaluation of the effect of genotype, environment and genotype X environment interaction on white common bean varieties using additive main effect and multiplicative interaction (AMMI) analysis in the mid-altitude of Bale zone, Southeastern Ethiopia. African Journal of Agricultural Research 13(7):338-344.
Crossref

 

Thillainathan M, Fernandez GCJ (2001). SAS applications for Tai's stability analysis and AMMI model in genotype × Environmental Interaction (GEI) effects. Journal of Heredity 92(4):367-371.
Crossref

 

Tukamuhabwa P, Asiimwe M, Nabasirye M, Kabayl P, Maphosa M (2012). Genotype by environment interaction of advanced generation soybean lines for grain yield in Uganda Africa. Crop Science 20(2):107115.

 

Vargas M, Crossa J, van Eeuwijk FA, Ramirez ME, Sayre K (1999). Using AMMI, factorial regression, partial least squares regression models for interpreting genotype x environment interaction. Crop Science 39:955-967.
Crossref

 

Voltas J, Van EF, Igartua E, García del Moral LF, Molina-Cano JL, Romagosa I (2002). Genotype by environment interaction and adaptation in barley breeding: basic concepts and methods of analysis. Barley science: Recent advances from molecular biology to agronomy of yield and quality 205 p.

 

Yan W (2001). GGE biplot - a windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agronomy Journal 93:1111-1118.
Crossref

 

Yan W (2002). Singular value partitioning in biplot analysis of multi-environment trial data. Agronomy Journal 94:990-996.
Crossref

 

Yan W, Cornelius PL, Crossa J, Hunt LA (2001). Two types of ggebiplots for analyzing multi-environment trial data. Crop Science 40:656-663.
Crossref

 

Yan W, Hunt LA, Sheng Q, Szlavnics Z (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science 40:597-605.
Crossref

 

Yan W, Kang MS (2003). GGE biplot analysis : a graphical tool for breeders, geneticists, and agronomists. Boca Raton, Florida: CRC Press, Florida.
Crossref

 

Yan W, Tinker NA (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science 86(3):623-645.
Crossref

 

Yayis R, Setegn G, Habtamu Z (2011). Genetic variability for drought resistance in small red seeded common bean genotypes. African Crop Science Journal 19(4):303-311.

 

Zeleke A, Berhanu A, Kidane T, Kassaye N, Asnake F (2016). Seed Yield Stability and Genotype x Environment Interaction of Common Bean (Phaseolus vulgaris L.) Lines in Ethiopia. International Journal of Plant Breeding and Crop Science 3(2):135-144.

 

Zobel RW, Wright MJ, Gauch HG (1988). Statistical Analysis of a Yield trial. Agronomy Journal 80:388-393.
Crossref