The aim of this study was to identify desirable, and also non-informative or highly correlated locations using GGE
biplot. In this study, ten barley genotypes were tested across five locations for two growing seasons in official state trials
performed by the Ministry of Agriculture, Forestry, and Water Management of the Republic of Serbia. In both growing
seasons, environment had the highest influence on barley yield, explaining 77.70% in 2010/11 and 86.41% in 2011/12
growing season of the total variation. A significant grain yield variation explained by environmental effects indicated
that the environments tested in our study were highly diverse. Together, PC1 and PC2 amounted 86.03% and 66.91%
of the genotype and genotype × environment interaction sum of squares, in 2010/11 and 2011/12, respectively. The
results indicate that Rimski šančevi was most favorable location and should be used for further multi-location trials
while location Sremska Mitrovica was the least informative and it can be excluded from further trials. Excluding one
of two similar environments could save resources with minimal risk to lose important information about genotypes
performance. According to the results of our study, it can be concluded that GGE biplot is useful method for environment
evaluation.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Makaleler |
Authors | |
Publication Date | September 5, 2018 |
Submission Date | February 22, 2017 |
Acceptance Date | June 5, 2017 |
Published in Issue | Year 2018 |
Journal of Agricultural Sciences is published open access journal. All articles are published under the terms of the Creative Commons Attribution License (CC BY).