EVALUATION OF SUNFLOWER HYBRIDS IN MULTI-ENVIRONMENT TRIAL (MET)

Year 2019, Volume: 24 Issue: 2, 202 - 210, 15.12.2019

Milan Jockovıć Sandra Cvejıć Siniša Jocıć Ana Marjanovıć-jeromela Dragana Mıladınovıć Bojan Jockovıć Vladimir Mıklıč Velimir Radıć

https://doi.org/10.17557/tjfc.645276

Cited By: 13

Abstract

Sunflower has been proposed as a potential crop model for an adaptation to a changing environment and
special attention should be paid to testing hybrids under different environments. Additive main effects and
multiplicative interaction model (AMMI) supplemented with genotype main effects and genotype by
environment interaction effects (GGE) were used for dissection of genotype by environment interaction and
evaluation of hybrids and testing environments. The research included 24 sunflower hybrids grown across
twelve environments. AMMI analysis identified four significant interaction principal components (IPC), while
in GGE biplot the first two IPCs accounted together for 44.59%. Environmental factors contributed the
largest proportion in the total variation of seed yield (67.40%), followed by interaction and genotypes. High
yielding hybrids H1, H14 and H11 showed specific adaptation to environments E10 and E1, respectively. The
average environment coordination (AEC) view of GGE biplot indicated H17 as the most desirable genotype
regarding seed yield. From the results of this study it can be concluded that MET trials are important not just
for evaluation of stability and choosing the most stable genotypes, but also the genotypes that will perform well
in low yielding environments and be able to take advantage of the favourable environmental conditions. 

Keywords

Environmental factors, seed yield, sunflower

Supporting Institution

Ministry of Education, Science and Technological Development of the Republic of Serbia

Project Number

TR-31025 /114-451-2126/2016-03 / 451-03- 01732/2017-09/3

Thanks

This research is part of the project TR-31025, funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia, provincial Secretariat for Higher Education and Science of Vojvodina, project 114-451-2126/2016-03 as well as a bilateral project between Serbia and Germany 451-03- 01732/2017-09/3 and COST Action CA 16212. Special thanks to Mr. Ilija Radeka and his team for efforts in carrying out the experiment.

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