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Applied Ecology and Environmental Research
Article . 2020 . Peer-reviewed
Data sources: Crossref
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SELECTION OF BARLEY (HORDEUM VULGARE) GENOTYPES BY GYT (GENOTYPE × YIELD × TRAIT) BIPLOT TECHNIQUE AND ITS COMPARISON WITH GT (GENOTYPE × TRAIT)

Authors: Karahan, T.; Akgun, İlknur;

SELECTION OF BARLEY (HORDEUM VULGARE) GENOTYPES BY GYT (GENOTYPE × YIELD × TRAIT) BIPLOT TECHNIQUE AND ITS COMPARISON WITH GT (GENOTYPE × TRAIT)

Abstract

The selection of genotypes based on multiple traits and multiple environments is very important to improve stable varieties for breeding programs. Since climatic conditions are very variable and unpredictable, they are very effective in the selection of genotypes based on multiple traits in multiple environmental conditions. Thus, the genotype by yield*trait (GYT) biplot approach was used to determine the best barley candidate from 12 barley genotypes based on multiple (four) environment and multiple (six) traits. In this study, the strengths and weaknesses of each genotype was determined by combining yield and other target traits with GYT biplot method and it was compared with GT (genotype*trait). The stability and general adaptability of each genotype showed differences with between GYT and GT biplot techniques. According to the GT biplot method, advanced lines (3, 9, 12) and Altikat variety were good genotypes, whereas in the GYT biplot method only Altikat variety was the best genotype based on yield (x) traits combinations. In addition, it was concluded that the best genotype was not fully determined in the GT biplot method, whereas Altikat variety was the best genotype and based on combined traits by GYT biplot. The study showed that GYT biplot is a very good technique, the ideal and stable genotypes can be detected visually with it, and it can be used to define the best candidate based on combining yield and traits selection in breeding programs.

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  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
Green
gold