Cereal Research Communications
Volume/Issue:
Volume 43: Issue 4
Evaluation of spring barley performance by biplot analysis
Authors:
N. Pržulj University of Banja Luka, Bulevar vojvode Petra Bojovića 1A, 78000 Banja Luka, Bosnia, Herzegovina

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M. Mirosavljević Institute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, Serbia

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P. Čanak Institute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, Serbia

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M. Zorić Institute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, Serbia

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J. Boćanski University of Novi Sad, D. Obradovića 8, 21000 Novi Sad, Serbia

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Pages:
692–703
Online Publication Date:
Dec 2015
Publication Date:
01 Dec 2015
Article Category:
Research Article
DOI:
https://doi.org/10.1556/0806.43.2015.018
Keywords:
AMMI analysis; genotype by year interaction; grain yield; Hordeum vulgare L.; meteorological variables
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Unpredictable environmental conditions lead to occurrence of large genotype by environment (G × E) interaction. It reduces the correlation between genotypic and phenotypic values and complicates selection of superior genotypes. The objective of this study was to estimate genotype by year (G × Y) interaction using AMMI model, to identify spring barley genotypes with stable and high yield performance and to observe association of different meteorological variables with tested growing seasons. The trials with 15 spring barley genotypes were conducted during seven years (1999–2005) at the location of Rimski Šančevi. The results showed that the influence of year (Y), genotype (G) and G × Y interaction on barley grain yield were significant (p < 0.01). Meteorological variables varied significantly from year to year and Y explained the highest percent of treatment variation (81%). The first three IPCA were significant and explained 83% of interaction variation. According to this study, it could be concluded that AMMI analysis provided an enhanced understanding of G × Y interaction in barley multi-years trials. Among the tested genotypes, LAV and NS 477 could be separated as highest yielding genotypes, however LAV could be recommended for further breeding program and large-scale production due to its stable and high yielding performance. It also provided better insight in specific association between spring barley grain yield and meteorological variables.

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Cover Cereal Research Communications
Cereal Research Communications A Quarterly of the Cereal Research Non-Profit Ltd. Company
Print ISSN:
0133-3720
Online ISSN:
1788-9170

 

 

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Cereal Research Communications
Language English
Size A4
Year of
Foundation		 1973
Volumes
per Year		 1
Issues
per Year		 4
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0133-3720 (Print)
ISSN 1788-9170 (Online)

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