AMMI and GGE biplot analyses of genotype-environment interaction in spring barley lines
Yield stability depends on the resistance of varieties and hybrids to stressful environmental factors. Assessment of genotype-environment interaction helps breeders select the best genotypes for submission to the state variety trials. The article presents results of AMMI (Additive Main effects and M...
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| Format: | Article |
| Language: | English |
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Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders
2017-11-01
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| Series: | Вавиловский журнал генетики и селекции |
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| Online Access: | https://vavilov.elpub.ru/jour/article/view/1185 |
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| author | P. N. Solonechnyi |
| author_facet | P. N. Solonechnyi |
| author_sort | P. N. Solonechnyi |
| collection | DOAJ |
| description | Yield stability depends on the resistance of varieties and hybrids to stressful environmental factors. Assessment of genotype-environment interaction helps breeders select the best genotypes for submission to the state variety trials. The article presents results of AMMI (Additive Main effects and Multiplicative Interaction) and GGE (Genotype plus Genotype-Environment interaction) biplot analyses of the grain yield data in eight promising spring barley lines bred at the Plant Production Institute nd. a V.Ya. Yuryev of NAAS and two standard varieties in 2012–2015. The objective of this study was to determine the effect of genotype, environment and their interaction for grain yield and identify stable and performance genotypes. The experimental layout was randomized complete block design with four replications. The analysis of variance on grain yield data showed that the mean squares of environments, genotypes and genotype-environment interaction (GEI) accounted for 85.8, 8.1 and 6.1 % of treatment combination sum of squares, respectively. To find out the effects of GEI on grain yield, the data were subjected to AMMI and GGE biplot analysis. The AMMI model presented greater efficiency by retaining most of the variation in the first two main components, 95.7 %, followed by the GGE biplot model, 82.9 %. Lines 09-837 (G8) and 08-1385 (G9) presented an elevated grain yield and stability as determined by the AMMI and GGE biplot methodologies. These lines named as “Avgur” and “Veles” were submitted to the state variety trial. The results finally indicated that AMMI and GGE biplot are informative methods to explore stability and adaptation pattern of genotypes in practical plant breeding and in subsequent variety recommendations. |
| format | Article |
| id | doaj-art-133b41961e4f43939228a41dad9d9b6c |
| institution | Kabale University |
| issn | 2500-3259 |
| language | English |
| publishDate | 2017-11-01 |
| publisher | Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders |
| record_format | Article |
| series | Вавиловский журнал генетики и селекции |
| spelling | doaj-art-133b41961e4f43939228a41dad9d9b6c2025-02-01T09:58:04ZengSiberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and BreedersВавиловский журнал генетики и селекции2500-32592017-11-0121665766210.18699/VJ17.283666AMMI and GGE biplot analyses of genotype-environment interaction in spring barley linesP. N. Solonechnyi0Plant Production Institute nd. a V.Ya. Yuryev, NAAS of Ukraine, KharkovYield stability depends on the resistance of varieties and hybrids to stressful environmental factors. Assessment of genotype-environment interaction helps breeders select the best genotypes for submission to the state variety trials. The article presents results of AMMI (Additive Main effects and Multiplicative Interaction) and GGE (Genotype plus Genotype-Environment interaction) biplot analyses of the grain yield data in eight promising spring barley lines bred at the Plant Production Institute nd. a V.Ya. Yuryev of NAAS and two standard varieties in 2012–2015. The objective of this study was to determine the effect of genotype, environment and their interaction for grain yield and identify stable and performance genotypes. The experimental layout was randomized complete block design with four replications. The analysis of variance on grain yield data showed that the mean squares of environments, genotypes and genotype-environment interaction (GEI) accounted for 85.8, 8.1 and 6.1 % of treatment combination sum of squares, respectively. To find out the effects of GEI on grain yield, the data were subjected to AMMI and GGE biplot analysis. The AMMI model presented greater efficiency by retaining most of the variation in the first two main components, 95.7 %, followed by the GGE biplot model, 82.9 %. Lines 09-837 (G8) and 08-1385 (G9) presented an elevated grain yield and stability as determined by the AMMI and GGE biplot methodologies. These lines named as “Avgur” and “Veles” were submitted to the state variety trial. The results finally indicated that AMMI and GGE biplot are informative methods to explore stability and adaptation pattern of genotypes in practical plant breeding and in subsequent variety recommendations.https://vavilov.elpub.ru/jour/article/view/1185аммigge biplotbarleyyieldadaptabilitystabilityprincipal component analysis |
| spellingShingle | P. N. Solonechnyi AMMI and GGE biplot analyses of genotype-environment interaction in spring barley lines Вавиловский журнал генетики и селекции аммi gge biplot barley yield adaptability stability principal component analysis |
| title | AMMI and GGE biplot analyses of genotype-environment interaction in spring barley lines |
| title_full | AMMI and GGE biplot analyses of genotype-environment interaction in spring barley lines |
| title_fullStr | AMMI and GGE biplot analyses of genotype-environment interaction in spring barley lines |
| title_full_unstemmed | AMMI and GGE biplot analyses of genotype-environment interaction in spring barley lines |
| title_short | AMMI and GGE biplot analyses of genotype-environment interaction in spring barley lines |
| title_sort | ammi and gge biplot analyses of genotype environment interaction in spring barley lines |
| topic | аммi gge biplot barley yield adaptability stability principal component analysis |
| url | https://vavilov.elpub.ru/jour/article/view/1185 |
| work_keys_str_mv | AT pnsolonechnyi ammiandggebiplotanalysesofgenotypeenvironmentinteractioninspringbarleylines |