Article abstract

Journal of Agricultural and Crop Research

Research Article | Published May 2021 | Volume 9, Issue 5. pp. 121-133.

doi: https://doi.org/10.33495/jacr_v9i5.20.197

 

Application of AMMI biplot model to evaluate some ginger (Zingiber officinale) genotypes for adaptation and stability

 



 

 

Mary Njei Abua*

Macaulay Asim Ittah

Godfrey Akpan Iwo

 

Email Author
Tel: 08069026641.

 

Department of Crop Science, University of Calabar, PMB 1115 Calabar, Cross River State, Nigeria.


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Citation: Abua MN, Ittah MA, Iwo GA (2021). Application of AMMI biplot model to evaluate some ginger (Zingiber officinale) genotypes for adaptation and stability. J. Agric. Crop Res. 9(5):121-133. doi: 10.33495/jacr_v9i5.20.197.

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 Abstract 


This research was conducted in three environments in Cross River State in 2016 and 2017 growing seasons on some ginger genotypes to determine their adaptation and stability using Additive main effects and multiplicative interaction (AMMI) biplot model. The ginger genotypes were evaluated in the field in a split-plot arrangement using the Randomized Complete Block Design (RCBD) in three replications. Results from AMMI analysis of variance for number of rhizome fingers per plant, rhizome length and rhizome yield showed that genotype and environment, as well as their interactions (GEI), were highly significant (P < 0.001), indicating a wide range of variation. The genotypes G4, G3 and G7 with small IPCA1 scores had wide adaptation while G14 with a large negative IPCA score of (-3.47) was better adapted to E5 (Ogoja 2016) and E6 (Ogoja 2017) respectively, this shows specific adaptation. For the number of rhizome length, the genotypes G10, G15, G13 and G3 had wide adaptation while G2 with large negative IPCA1 score (-2.28) specifically adapted to E1 and E2 (Calabar 2016 and 2017) respectively. For rhizome yield, G4 and G13 with small IPCA scores showed lesser interaction and hence greater stability. Further evaluation of these genotypes is required before their release.

Keywords  Genotype and environment interaction (GEI)   interactive principal component axis   variation  

 specific environment   rhizome  

 

 

Copyright © 2021 Author(s) retain the copyright of this article.or(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

 

 

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