African Journal of Plant Science
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Article Number - AD5C78664758


Vol.11(7), pp. 308-319 , July 2017
DOI: 10.5897/AJPS2017.1538
ISSN: 1996-0824



Full Length Research Paper

GGE biplot analysis of genotypes by environment interaction on Sorghum bicolor L. (Moench) in Zimbabwe



Mare, M.
  • Mare, M.
  • Department of Research and Specialist Services (DRSS), Crop Breeding Institute, P. O. Box CY 550, Causeway, Harare, Zimbabwe.
  • Google Scholar
Manjeru, P.
  • Manjeru, P.
  • Midlands State University, P. Bag 9055, Gweru, Zimbabwe.
  • Google Scholar
Ncube, B.
  • Ncube, B.
  • Midlands State University, P. Bag 9055, Gweru, Zimbabwe.
  • Google Scholar
Sisito, G.
  • Sisito, G.
  • Department of Research and Specialist Services (DRSS), Matopos Research Institute, P. Bag K5137, Bulawayo, Zimbabwe.
  • Google Scholar







 Received: 28 February 2017  Accepted: 21 April 2017  Published: 31 July 2017

Copyright © 2017 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


The genotype by environment interaction (GEI) reduces the success of genotype selection and recommendations by breeders, thus slowing down the progress of plant breeding. The understanding of genotype by environment interaction (GEI) multi-locational yield trials (MLYT) enables researchers to identify locations which are efficient in distinguishing tested genotypes, which are ideal across the test-locations as well as environments which are good representatives of the target regions of interest. The main objective of the study was to assess the genotype by environment interaction on grain yield stability of promising sorghum genotypes across five diverse environments of Zimbabwe. Sorghum yield data of twenty-seven cultivars was obtained from the replicated trials. After performing a pooled analysis of variance for grain yield across five diverse environments during the 2013/14 rainy season, the GxE interaction was significant (P<0.001), and this justified need for testing for GEI components using the GGE biplot analysis to enhance the understanding the effects of components. The results revealed that three mega-environments were identifiable which are Matopos, Save-Valley and Kadoma falling in one mega-environment, then Makoholi was identified as a second mega-environment and then Gwebi was identified as the third mega-environment. Gwebi had the most discriminating ability and good representativeness whereby Save Valley had a poor discriminating ability as well as least representativeness.

Key words: Sorghum, genotype x environment interaction, GGE, adaptation and yield stability, mega-environment, discriminating ability, representativeness.

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APA Mare, M., Manjeru, P., Ncube, B., & Sisito, G. (2017). GGE biplot analysis of genotypes by environment interaction on Sorghum bicolor L. (Moench) in Zimbabwe. African Journal of Plant Science, 11(7), 308-319.
Chicago Mare, M., Manjeru, P., Ncube, B. and Sisito, G.. "GGE biplot analysis of genotypes by environment interaction on Sorghum bicolor L. (Moench) in Zimbabwe." African Journal of Plant Science 11, no. 7 (2017): 308-319.
MLA Mare, et al. "GGE biplot analysis of genotypes by environment interaction on Sorghum bicolor L. (Moench) in Zimbabwe." African Journal of Plant Science 11.7 (2017): 308-319.
   
DOI 10.5897/AJPS2017.1538
URL http://academicjournals.org/journal/AJPS/article-abstract/AD5C78664758

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