Research Article

Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain

Volume: 24 Number: 3 September 5, 2018
  • Milan Mırosavljevıć *
  • Petar čanak
  • Vojislava Momčılovıć
  • Bojan Jockovıć
  • Miroslav Zorıć
  • Vladimir Aćın
  • Srbislav Denčıć
  • Novo Pržulj
EN

Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain

Abstract

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.


Keywords

References

  1. Blanche S B & Myers G O (2006). Identifying discriminating locations for cultivar selection in Louisiana. Crop Science 46: 946-949
  2. Ding M, Tier B, Yan W, Wu H X, Powell M B & McRae T A (2008). Application of GGE biplot analysis to evaluate genotype (G), environment (E), and G×E interaction on Pinus radiata: A case study. New Zealand Journal of Forestry Science 38(1): 132-142
  3. Dogan Y, Kendal E & Oral E (2016). Identifying of relationship between traits and grain yield in spring barley by GGE biplot analysis. Agriculture & Forestry 62(4): 239-252
  4. Gabriel K R (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika 58: 453-467
  5. Kaya Y, Akcura M & Taner S (2006). GGE-Biplot analysis of multi-environment yield trials in bread wheat. Turkish Journal of Agriculture and Forestry 30: 325-337
  6. Kendal E & Dogan Y (2015). Stability of a candidate and cultivars (Hordeum vulgare L.) by GGE biplot analysis of multi-environment yield trials in spring barley. Agriculture and Forestry 61(4): 307-318
  7. Kendal E & Aktas H (2016). Investigation of genotypes by environment interaction using GGE biplot analysis in barley. Oxidation Communications, Biological and Biochemical Oxidation Proceses 39(3-1): 24-33
  8. Kendal E & Tekdal S (2016). Application of AMMI model for evolution spring barley genotypes in multienvironment trials. Bangladesh Journal of Botany 45(3): 613-620

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Milan Mırosavljevıć * This is me
Serbia

Petar čanak This is me
Serbia

Vojislava Momčılovıć This is me
Serbia

Bojan Jockovıć This is me
Serbia

Miroslav Zorıć This is me
Serbia

Vladimir Aćın This is me
Serbia

Srbislav Denčıć This is me
Serbia

Novo Pržulj This is me
Bosnia and Herzegovina

Publication Date

September 5, 2018

Submission Date

February 22, 2017

Acceptance Date

June 5, 2017

Published in Issue

Year 2018 Volume: 24 Number: 3

APA
Mırosavljevıć, M., čanak, P., Momčılovıć, V., Jockovıć, B., Zorıć, M., Aćın, V., Denčıć, S., & Pržulj, N. (2018). Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain. Journal of Agricultural Sciences, 24(3), 303-311. https://doi.org/10.15832/ankutbd.451279
AMA
1.Mırosavljevıć M, čanak P, Momčılovıć V, et al. Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain. J Agr Sci-Tarim Bili. 2018;24(3):303-311. doi:10.15832/ankutbd.451279
Chicago
Mırosavljevıć, Milan, Petar čanak, Vojislava Momčılovıć, et al. 2018. “Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain”. Journal of Agricultural Sciences 24 (3): 303-11. https://doi.org/10.15832/ankutbd.451279.
EndNote
Mırosavljevıć M, čanak P, Momčılovıć V, Jockovıć B, Zorıć M, Aćın V, Denčıć S, Pržulj N (September 1, 2018) Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain. Journal of Agricultural Sciences 24 3 303–311.
IEEE
[1]M. Mırosavljevıć et al., “Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain”, J Agr Sci-Tarim Bili, vol. 24, no. 3, pp. 303–311, Sept. 2018, doi: 10.15832/ankutbd.451279.
ISNAD
Mırosavljevıć, Milan - čanak, Petar - Momčılovıć, Vojislava - Jockovıć, Bojan - Zorıć, Miroslav - Aćın, Vladimir - Denčıć, Srbislav - Pržulj, Novo. “Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain”. Journal of Agricultural Sciences 24/3 (September 1, 2018): 303-311. https://doi.org/10.15832/ankutbd.451279.
JAMA
1.Mırosavljevıć M, čanak P, Momčılovıć V, Jockovıć B, Zorıć M, Aćın V, Denčıć S, Pržulj N. Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain. J Agr Sci-Tarim Bili. 2018;24:303–311.
MLA
Mırosavljevıć, Milan, et al. “Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain”. Journal of Agricultural Sciences, vol. 24, no. 3, Sept. 2018, pp. 303-11, doi:10.15832/ankutbd.451279.
Vancouver
1.Milan Mırosavljevıć, Petar čanak, Vojislava Momčılovıć, Bojan Jockovıć, Miroslav Zorıć, Vladimir Aćın, Srbislav Denčıć, Novo Pržulj. Identification of Favourable Testing Locations for Barley Breeding in South Pannonian Plain. J Agr Sci-Tarim Bili. 2018 Sep. 1;24(3):303-11. doi:10.15832/ankutbd.451279

Cited By

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