Evaluation of Spring Barley Performance by Biplot Analysis
Apstrakt
Unpredictable environmental conditions lead to occurrence of large genotype by environment (G x 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 x 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 Sancevi. The results showed that the influence of year (Y), genotype (G) and G x Y interaction on barley grain yield were significant (p lt 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 x 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.
Ključne reči:
AMMI analysis / genotype by year interaction / grain yield / Hordeum vulgare L. / meteorological variablesIzvor:
Cereal Research Communications, 2015, 43, 4, 692-703Izdavač:
- Akademiai Kiado Zrt, Budapest
Finansiranje / projekti:
DOI: 10.1556/0806.43.2015.018
ISSN: 0133-3720
WoS: 000366404300015
Scopus: 2-s2.0-84951085105
Kolekcije
Institucija/grupa
FiVeRTY - JOUR AU - Pržulj, Novo AU - Mirosavljević, Milan AU - Čanak, Petar AU - Zorić, Miroslav AU - Boćanski, Jan PY - 2015 UR - http://fiver.ifvcns.rs/handle/123456789/1424 AB - Unpredictable environmental conditions lead to occurrence of large genotype by environment (G x 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 x 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 Sancevi. The results showed that the influence of year (Y), genotype (G) and G x Y interaction on barley grain yield were significant (p lt 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 x 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. PB - Akademiai Kiado Zrt, Budapest T2 - Cereal Research Communications T1 - Evaluation of Spring Barley Performance by Biplot Analysis EP - 703 IS - 4 SP - 692 VL - 43 DO - 10.1556/0806.43.2015.018 ER -
@article{ author = "Pržulj, Novo and Mirosavljević, Milan and Čanak, Petar and Zorić, Miroslav and Boćanski, Jan", year = "2015", abstract = "Unpredictable environmental conditions lead to occurrence of large genotype by environment (G x 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 x 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 Sancevi. The results showed that the influence of year (Y), genotype (G) and G x Y interaction on barley grain yield were significant (p lt 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 x 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.", publisher = "Akademiai Kiado Zrt, Budapest", journal = "Cereal Research Communications", title = "Evaluation of Spring Barley Performance by Biplot Analysis", pages = "703-692", number = "4", volume = "43", doi = "10.1556/0806.43.2015.018" }
Pržulj, N., Mirosavljević, M., Čanak, P., Zorić, M.,& Boćanski, J.. (2015). Evaluation of Spring Barley Performance by Biplot Analysis. in Cereal Research Communications Akademiai Kiado Zrt, Budapest., 43(4), 692-703. https://doi.org/10.1556/0806.43.2015.018
Pržulj N, Mirosavljević M, Čanak P, Zorić M, Boćanski J. Evaluation of Spring Barley Performance by Biplot Analysis. in Cereal Research Communications. 2015;43(4):692-703. doi:10.1556/0806.43.2015.018 .
Pržulj, Novo, Mirosavljević, Milan, Čanak, Petar, Zorić, Miroslav, Boćanski, Jan, "Evaluation of Spring Barley Performance by Biplot Analysis" in Cereal Research Communications, 43, no. 4 (2015):692-703, https://doi.org/10.1556/0806.43.2015.018 . .