GGE biplot analysis of multi-environment trials of NS maize hybrids
GGE biplot analysis is a method used to identify mega-environments (i.e. grouping, division of locations, which are examined in a joint mega-environment), evaluate the genotypes within these mega-environments and select the most discriminating and the most representative locations within a single me...
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Published in | Ratarstvo i povrtarstvo Vol. 48; no. 1; pp. 77 - 82 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | Serbian English |
Published |
Institute of field and vegetable crops, Novi Sad
2011
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Subjects | |
Online Access | Get full text |
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Abstract | GGE biplot analysis is a method used to identify mega-environments (i.e. grouping, division of locations, which are examined in a joint mega-environment), evaluate the genotypes within these mega-environments and select the most discriminating and the most representative locations within a single mega-environment. This paper analyses twenty hybrids at five locations in 2006 and 2007. For the first year, mega-environment analysis showed a greater similarity between locations Rimski Šančevi, Pančevo and Srbobran classifying them into one group (the potential mega-environment), whereas Sombor and Sremska Mitrovica were classified into another group. In 2007, grouping was different from the previous in that Rimski Šančevi and Sombor comprised one mega-environment, whereas Sremska Mitrovica and Pančevo comprised the other, while Srbobran was separated from both groups. Discrepancies in formation of the mega-environments can be explained by different climatic conditions in two research years. This was confirmed by analyzing the ideal environment where the discrepancies between those two years are also reported. The results in this study suggest that more reliable data on the mega-environments formation should be sought in multi-year studies of the certain genotypes in a number of locations. |
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AbstractList | GGE biplot analysis is a method used to identify mega-environments (i.e. grouping, division of locations, which are examined in a joint mega-environment), evaluate the genotypes within these mega-environments and select the most discriminating and the most representative locations within a single mega-environment. This paper analyses twenty hybrids at five locations in 2006 and 2007. For the first year, mega-environment analysis showed a greater similarity between locations Rimski Šančevi, Pančevo and Srbobran classifying them into one group (the potential mega-environment), whereas Sombor and Sremska Mitrovica were classified into another group. In 2007, grouping was different from the previous in that Rimski Šančevi and Sombor comprised one mega-environment, whereas Sremska Mitrovica and Pančevo comprised the other, while Srbobran was separated from both groups. Discrepancies in formation of the mega-environments can be explained by different climatic conditions in two research years. This was confirmed by analyzing the ideal environment where the discrepancies between those two years are also reported. The results in this study suggest that more reliable data on the mega-environments formation should be sought in multi-year studies of the certain genotypes in a number of locations. |
Author | Ivanović, M., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) Nastasić, A., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) Treskić, S., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) Bekavac, G., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) Stojaković, M., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) Mitrović, B., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) Stanisavljević, D., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) |
Author_xml | – sequence: 1 fullname: Mitrović, B., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) – sequence: 2 fullname: Stanisavljević, D., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) – sequence: 3 fullname: Treskić, S., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) – sequence: 4 fullname: Stojaković, M., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) – sequence: 5 fullname: Bekavac, G., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) – sequence: 6 fullname: Nastasić, A., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) – sequence: 7 fullname: Ivanović, M., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia) |
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DocumentTitle_FL | GGE biplot analiza multilokacijskih ogleda NS hibrida kukuruza |
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SubjectTerms | CARACTERASTICAS DEL SITIO CROP YIELD FACTEUR LIA AU SITE GE interaction GENOTYPE ENVIRONMENT INTERACTION GGE biplot grain yield HABRIDOS http://www.fao.org/aos/agrovoc#c_10176 http://www.fao.org/aos/agrovoc#c_24577 http://www.fao.org/aos/agrovoc#c_3707 http://www.fao.org/aos/agrovoc#c_49909 http://www.fao.org/aos/agrovoc#c_7087 http://www.fao.org/aos/agrovoc#c_8504 hybrid HYBRIDE HYBRIDS INTARACTION GANOTYPE ENVIRONNEMENT INTERACCIAN GENOTIPO AMBIENTE maize mega-environment RENDEMENT DES CULTURES RENDIMIENTO DE CULTIVOS SERBIA SERBIE SITE FACTORS ZEA MAYS |
Title | GGE biplot analysis of multi-environment trials of NS maize hybrids |
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