Aspects of the production process of sunflower (Helianthus annuus L.) depending on the year and different cultivation technology
2022
Vician, Tomáš
The aim of the experiment was to evaluate the impact of the year and different hybrid varieties of sunflower on the yield and oil content. The experiment was carried out in the years 2019–2020 in the fields of the Research Centre for Plant Biology and Ecology in Nitra – Dolná Malanta. Statistical analysis of experimental results confirmed the high significant influence of the year on selected quantitative and qualitative parameters of the sunflower. The year 2019 was statistically high significantly more effective for seed yield, were was monitored increase by 0.37 tons per hectare (t ha-1) in relation to average yield. In 2020 was confirmed a statistically high significant higher oil content by 0.87%. The evaluation of the genetic potential of selected hybrids confirmed a statistically high significant effect on the yield and oil content of sunflower. Within the monitored years, the average seed yield was 3.47 t ha-1 and the average oil content was 46.22%. In the range of monitored hybrid varieties of sunflower, the highest average seed yield and oil content were recorded for the hybrids of Clearfield Plus. The best values were achieved by the SY Bacardi hybrid with a seed yield of 4.10 t ha-1 (+0.63 t ha-1; rel. 18.29%) and with an oil content of 48.50% (+2.28%). The highest seed yield in conventional hybrid varieties of sunflower achieved SY Chronos 3.63 t ha-1 (+0.16 t ha-1; rel. 4.69%) and the highest oil content achieved SY Duomo 47.34% (+1.13%). The highest yield in Express Sun hybrid varieties recorded NX 92251 3.56 t ha-1 (+0.10 t ha-1; rel. 2.76%). And the highest oil content was monitored by Suffix hybrid 45.91% (-0.31%).
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Editeur Slovak University of Agriculture in Nitra, Faculty of Agrobiology and Food Sciences
ISSN 1336-9245Cette notice bibliographique a été fournie par Agricultural Knowledge and Innovation Institute
Découvrez la collection de ce fournisseur de données dans AGRIS