Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain
The aim of this study was to identify desirable, and also non-informative or highly correlated locations using GGEbiplot. In this study, ten barley genotypes were tested across five locations for two growing seasons in official state trialsperformed by the Ministry of Agriculture, Forestry, and Wate...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ankara University
2018-09-01
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| Series: | Journal of Agricultural Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/519876 |
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| Summary: | The aim of this study was to identify desirable, and also non-informative or highly correlated locations using GGEbiplot. In this study, ten barley genotypes were tested across five locations for two growing seasons in official state trialsperformed by the Ministry of Agriculture, Forestry, and Water Management of the Republic of Serbia. In both growingseasons, environment had the highest influence on barley yield, explaining 77.70% in 2010/11 and 86.41% in 2011/12growing season of the total variation. A significant grain yield variation explained by environmental effects indicatedthat 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. Theresults indicate that Rimski šančevi was most favorable location and should be used for further multi-location trialswhile location Sremska Mitrovica was the least informative and it can be excluded from further trials. Excluding oneof two similar environments could save resources with minimal risk to lose important information about genotypesperformance. According to the results of our study, it can be concluded that GGE biplot is useful method for environmentevaluation. |
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| ISSN: | 1300-7580 2148-9297 |