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...

Full description

Saved in:
Bibliographic Details
Published inRatarstvo i povrtarstvo Vol. 48; no. 1; pp. 77 - 82
Main Authors Mitrović, B., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia), Stanisavljević, D., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia), Treskić, S., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia), Stojaković, M., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia), Bekavac, G., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia), Nastasić, A., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia), Ivanović, M., Institut za ratarstvo i povrtarstvo, Novi Sad (Serbia)
Format Journal Article
LanguageSerbian
English
Published Institute of field and vegetable crops, Novi Sad 2011
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
Bibliography:F30
F01
COBISS.SR-ID 246466055
ISSN:1821-3944
2217-8392
DOI:10.5937/ratpov1101077M