EVALUATION OF SUNFLOWER HYBRIDS IN MULTI-ENVIRONMENT TRIAL (MET)
| Autor: | Bojan Jocković, Siniša Jocić, Vladimir Miklič, Ana Marjanović-Jeromela, Milan Jocković, Sandra Cvejić, Velimir Radić, Dragana Miladinović |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
2. Zero hunger
0106 biological sciences Environmental factors seed yield sunflower sunflower biology Biplot business.industry Ammi 04 agricultural and veterinary sciences biology.organism_classification 01 natural sciences High yielding Sunflower Biotechnology seed yield Genotype 040103 agronomy & agriculture Environmental factors 0401 agriculture forestry and fisheries Multiplicative interaction Gene–environment interaction business Agronomy and Crop Science 010606 plant biology & botany Hybrid |
| Zdroj: | Volume: 24, Issue: 2 202-210 Turkish Journal Of Field Crops Turkish Journal of Field Crops |
| ISSN: | 1301-1111 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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