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Abstract
The purpose of this study was to evaluate the yield performance of 26 potato (Solanum tuberosum L.) genotypes in seven test environments cross the semi-arid potato growing region of Northwest China. The tested potato genotypes were planted in a randomized complete block design with three replicates in two growth seasons (2007–08, 2009–10). The graphical tool of GGE (genotype main effect [G] and genotype and environment interaction [GE]) biplot was applied to analyse the multi-environment trials data obtained. The results indicate that the test sites could be grouped into one mega-environment; the best performing and candidate genotypes for the region were identified. Among seven test environments, one test site has the greatest discriminating ability where two sites can be dismissed from future trials due to the similarity of their ability of discrimination and representation to other sites. The results reveal that the GGE biplot is useful in identifying potato genotypes with yield and stability performance in semi-arid regions of Northwest China.
Acknowledgements
This research was supported by the Gansu Aridland Crop Science Key Lab Foundation (Grant No. GSCS-2010-16), Gansu Province Joint Potato Research Project (Grant No. 1102NKDA025) and National Science Foundation of China (Grant No. 31101915).