Water deficiency is one of the most significant abiotic stresses that negatively affects growth and reduces crop yields worldwide. Most research is focused on model plants and/or crops which are most agriculturally important. In this research, drought stress was applied to two drought stress contrasting varieties of Papaver somniferum (the opium poppy), a non-model plant species, during the first week of its germination, which differ in responses to drought stress. After sowing, the poppy seedlings were immediately subjected to drought stress for 7 days. We conducted a large-scale transcriptomic and proteomic analysis for drought stress response. At first, we found that the transcriptomic and proteomic profiles significantly differ. However, the most significant findings are the identification of key genes and proteins with significantly different expressions relating to drought stress, e.g., the heat-shock protein family, dehydration responsive element-binding transcription factors, ubiquitin E3 ligase, and others. In addition, metabolic pathway analysis showed that these genes and proteins were part of several biosynthetic pathways most significantly related to photosynthetic processes, and oxidative stress responses. A future study will focus on a detailed analysis of key genes and the development of selection markers for the determination of drought-resistant varieties and the breeding of new resistant lineages.

Turnip yellows virus (TuYV), is one of the most important pathogens of oilseed rape, which has caused enormous yield losses in all growing regions of the world in recent years. Therefore, there is a need for resistant varieties for sustainable crop protection. We have investigated the resistance of known varieties and newly developed advanced-breeding lines of oilseed rape to TuYV in greenhouse and field trials. We have analysed the TuYV titre of individual genotypes inoculated with the virus using viruliferous aphids Myzus persicae. The genotypes ‘DK Temptation’ and ‘Rescator’ had the lowest and highest virus titres, respectively, and were used as resistant and susceptible models for comparative analyses with other genotypes. In the greenhouse, the best results were obtained with the genotypes ‘OP-8143 DH’ (2.94 × 10⁵ copies), OP-BN-72 (3.29 × 10⁵ copies), ‘Navajo’ (3.58 × 10⁵ copies) and ‘SG-C 21215’ (4.09 × 10⁵ copies), which reached virus titres about 2 times higher than the minimum virus concentration measured in ‘DK Temptation’ (1.80 × 10⁵ copies). In the field trials, the genotypes ‘Navajo’ (3.39 × 10⁵ copies), ‘OP-8148 DH’ (4.44 × 10⁵ copies), ‘SG-C 21215’ (6.80 × 10⁵ copies) and OP-8480 (7.19 × 10⁵ copies) had the lowest virus titres and reached about 3 times the virus titre of DK Temptation (2.54 × 10⁵ copies). Both trials showed that at least two commercial varieties (e.g., DK Temptation, Navajo) and three advanced breeding lines (e.g., OP-8143 DH, OP-BN-72, SG-C 21215) had low titres of the virus after TuYV infection. This indicates a high level of resistance to TuYV in ‘Navajo’ or the newly developed breeding lines and the basis of resistance is probably different from R54 (as in ‘DK Temptation’). Furthermore, the greenhouse trials together with RT -qPCR-based virus titre analysis could be a cost-effective and efficient method to assess the level of resistance of a given genotype to TuYV infection compared to the field trials. However, further research is needed to identify the underlying mechanisms causing this difference in susceptibility.

Quality parameters (glucosinolate content, oil and fatty acid composition) of white mustard seeds and leaves were evaluated. The total glucosinolate content in the mustard seeds was higher than that in the leaves, and sinalbine was found to be the main glucosinolate in both cases. Analysis of the fatty acid content of the oil showed that erucic acid was predominant in the older genetic sources, while the new white mustard varieties contained less erucic acid. The results obtained showed that Fourier transform near-infrared spectroscopy can be used for routine evaluation of samples and for pre-screening purposes in white mustard breeding programmes.

Papaver somniferum (poppy) is a traditional component of Central and Eastern European cuisine and an important oilseed crop in the region. The crucial thread for poppy stable yield is pathogen infection. Thus, we need to understand poppy defence mechanisms in detail. The first robust layer of plant immunity, which plays a crucial role in combat against pathogens, is pattern-triggered immunity (PTI). Here, we provide the first insights into PTI in poppy. We selected four poppy varieties used in the food industry. We investigated poppy response to various peptide elicitors acting as microbe-associated molecular patterns (MAMPs) and damage-associated molecular patterns (DAMPs). Flg22 induced the most robust reactive oxygen species (ROS) burst among all tested peptides. Flg22 also triggered putative mitogen-activated protein kinase (MAPK) phosphorylation and seedling growth inhibition in all tested cultivars. We identified PsWRKY22 and PsPR2 as candidate marker genes suitable for monitoring poppy PTI responses. The tested poppy cultivars have low levels of salicylic acid. Callose accumulation was triggered by wounding but not by flg22. For studying PTI in poppy, wounding is a challenge that needs to be considered as it can obscure potential PTI responses. Our findings highlight conserved aspects of poppy immunity and challenges in studying poppy PTI. The established pipeline facilitates improving our understanding of poppy immunity and has the potential for widespread application in poppy breeding and improving selection for broad-spectrum disease resistance provided by enhanced PTI. GRAPHICAL Graphical The establishment of the methods for studying pattern-triggered immunity (PTI) in Papaver somniferum L. (poppy) was inspired by the knowledge of the model plant Arabidopsis thaliana . The study showed a similarity between Arabidopsis and poppy in response to flg22 but also pointed out the obstacles for PTI analysis in poppy and the differences compared to the model plant. Created with BioRender.com .

Catch crops play a vital role in agricultural systems by contributing to biomass production, nutrient retention, and carbon sequestration. Among these, species from the Brassicaceae family are particularly valuable due to their rapid biomass accumulation, biofumigant properties, and adaptability to diverse environmental conditions. This study presents the first systematic evaluation of biomass characteristics for six non-traditional Brassicaceae species under Central European conditions, alongside commonly cultivated representatives of the family. Field experiments were conducted in Eastern Bohemia from 2021 to 2023 to assess biomass production in nine Brassicaceae species. Four sowing dates were evaluated, with plant sampling determining aboveground and underground biomass. The results revealed significant species-specific differences in biomass accumulation. Sinapis alba and Raphanus sativus exhibited the highest biomass, while Brassica napus and Crambe abyssinica had the lowest. A positive correlation between aboveground and underground biomass was observed across species, though root-to-shoot ratios varied, influencing carbon allocation patterns and soil organic matter inputs. Overall, the results demonstrate that sowing date is a critical factor influencing growth dynamics and reproductive development in these underutilized Brassicaceae species. By identifying optimal planting windows, this study contributes to improved management strategies aimed at maximizing biomass production while supporting sustainable cropping practices, including enhanced soil organic carbon stabilization and reduced nutrient losses.

Microsatellite markers were used for the assessment of genetic diversity and genetic structure in a germplasm collection of yellow mustard, Sinapis alba L. The comprehensive collection of genetic resources represented 187 registered varieties, landraces, and breeding materials. Microsatellites generated 44 polymorphic alleles in 15 loci. Eleven of them were medium to highly polymorphic, and the high levels of observed heterozygosity (0.12–0.83) and Nei’s gene diversity index (0.11–0.68) indicated a high level of polymorphism. Based on PCoA and neighbor joining analyses, the genetic resources were divided into two groups. The range of genetic dissimilarity in the analysed collection was in the range of 0.00–1.00. The high level of dissimilarity between the accessions was documented by the high WAM value (33.82%). Bayesian clustering algorithms were performed in the STRUCTURE 2.3.4 software. The number of clusters was estimated at K = 2. The accessions were classified according to Q1/Q2 values. The low average values of the parameters Fst_1 (0.3482), Fst_2 (0.1916), and parameter alpha (0.0602) indicated substantial mating barriers between varieties and reproductive isolation due to the limited exchange of genetic resources between breeders. These results demonstrated the importance of extensive collections of genetic resources for the maintenance of genetic diversity and indicated considerable genetic differentiation among accessions.