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Afr. J. Agric. Res.


Vol. 3 No. 2



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Otoo E

Asiedu R


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African Journal of Agricultural Research Vol. 3 (2), pp. 115-125, February 2008

Available online at http://www.academicjournals.org/AJAR

ISSN 1991-637X © 2008 Academic Journals

 

 

Full Length Research Paper

 

GGE biplot analysis of Dioscorea rotundata cultivar “DENTE” in Ghana

 

Emmanuel Otoo1* and Robert Asiedu2

 

1Crops Research Institute, P.O. Box 3785, Kumasi, Ghana.

2IITA, P. M. B 5320, Oyo Road, Oyo, Ibadan, Nigeria.

 

*Corresponding author. E-mail. otoo_emmanuel@yahoo.com

 

Accepted 23 January, 2008

 

   Abstract

 

Yield data of 20 genotypes of D. rotundata cultivar “Dente” tested across 15 rain-fed environments during the 2000 to 2004 growing season using Augmented RCBD with 3 blocks were analyzed using the GGE biplot method. The aim of the study was to (i) identify genotypes that combine high yields with stability across environments via GGE (genotype plus genotype x environment) biplot methodology, and (ii) to identify best test environments (representative, discriminating, and unique environments) of improved D. rotundata cvr Dente germplasm in Ghana. The environment (E) explained 36.5% of the total (G + E + GE) variation, whereas G and GEI captured 36.1 and 27.4%, respectively. The first 2 principal components (PC1 and PC2), which were used to create a 2-dimensional GGE-biplot and explained 63.8 and 12.0% of GGE sum of squares (SS), respectively. Genotypes Ge1 and Ge28 were the ideal genotypes (desirable in terms of higher yielding ability and stability). Of the 15 environments tested, biplot analysis identified single mega-environment for all environments. Wenchi (Forest-Savannah Transition) was the most representative and discriminating environment.

 

Key words: Dioscorea rotundata, GGE-biplot analysis, multi-environment trials.

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