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Influence of growth regulator on plant growth, development and yield formation of sunflower hybrids (F<sub>1</sub>) under the conditions of Southern Steppe zone of Ukraine Texto completo
2017
Єременко, О. А | Калитка, В. В | Каленська, С. М
Influence of growth regulator on plant growth, development and yield formation of sunflower hybrids (F<sub>1</sub>) under the conditions of Southern Steppe zone of Ukraine Texto completo
2017
Єременко, О. А | Калитка, В. В | Каленська, С. М
Purpose. To study the effect of AKM plant growth regulator on growth, development and yield formation of sunflower (Helianthus annuus L.) hybrids in hybridization plots under the conditions of the Southern Steppe zone of Ukraine. Methods. Laboratory tests, field study, statistical evaluation. Results. The results of studies devoted to determining the optimal AKM concentration for the treatment of seeds of the maternal and paternal lines, the effect of AKM on field germination, biometric parameters of sunflower plants, seed quality (F1) and yield are presented. Three hybrids of the Ukrainian selection, such as ‘Alpha’, ‘Logos’ and ‘Persei’ were studied during 2014–2016. Optimal concentration of AKM (0.0015 g/l) was defined. The vigor of seeds processed by AKM was higher than in check variety by 0.8–12.8 р.р. (♂); 0.4–10.7 p.p. (♀), laboratory germination – by 2.3–6.1 p.p. (♂); 3.5–6.2 p.p. (♀). In 2016, the sunflower plant height for all variants exceeded this parameter to be obtained for other years of the study. This could be explained by the fact that HTC in 2016 for the BBCH 00–39 period was 1.4 times higher than in 2015. In general, hybrids as the studied factor considerably influenced sunflower yield, and the share of the hybrid (factor A) influence is 33%. This should be considered when selecting hybrids for sunflower cultivation technologies in the Steppe zone of Ukraine. Conclusions. Hydrothermal conditions of the year had the maximum impact on the formation of seed quality and yield of sunflower plants of the hybrids under study, but when using AKM growth regulator for presowing seed treatment, this negative impact was reduced by an average of 23%.
Mostrar más [+] Menos [-]Unravelling hybridization in Phytophthora using phylogenomics and genome size estimation Texto completo
2021
Kris Van Poucke | Annelies Haegeman | Thomas Goedefroit | Fran Focquet | Leen Leus | Marília Horta Jung | Corina Nave | Miguel Angel Redondo | Claude Husson | Kaloyan Kostov | Aneta Lyubenova | Petya Christova | Anne Chandelier | Slavcho Slavov | Arthur de Cock | Peter Bonants | Sabine Werres | Jonàs Oliva Palau | Benoit Marçais | Thomas Jung | Jan Stenlid | Tom Ruttink | Kurt Heungens
Abstract The genus Phytophthora comprises many economically and ecologically important plant pathogens. Hybrid species have previously been identified in at least six of the 12 phylogenetic clades. These hybrids can potentially infect a wider host range and display enhanced vigour compared to their progenitors. Phytophthora hybrids therefore pose a serious threat to agriculture as well as to natural ecosystems. Early and correct identification of hybrids is therefore essential for adequate plant protection but this is hampered by the limitations of morphological and traditional molecular methods. Identification of hybrids is also important in evolutionary studies as the positioning of hybrids in a phylogenetic tree can lead to suboptimal topologies. To improve the identification of hybrids we have combined genotyping-by-sequencing (GBS) and genome size estimation on a genus-wide collection of 614 Phytophthora isolates. Analyses based on locus- and allele counts and especially on the combination of species-specific loci and genome size estimations allowed us to confirm and characterize 27 previously described hybrid species and discover 16 new hybrid species. Our method was also valuable for species identification at an unprecedented resolution and further allowed correct naming of misidentified isolates. We used both a concatenation- and a coalescent-based phylogenomic method to construct a reliable phylogeny using the GBS data of 140 non-hybrid Phytophthora isolates. Hybrid species were subsequently connected to their progenitors in this phylogenetic tree. In this study we demonstrate the application of two validated techniques (GBS and flow cytometry) for relatively low cost but high resolution identification of hybrids and their phylogenetic relations.
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