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Query: "keywords" (hop-hornbeam) .

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1.
Optimization of DNA isolation from hop cones and pellets for microsatellite analysis
Matic Tacer, Lucija Luskar, Andreja Čerenak, Jernej Jakše, Helena Volk, 2025, original scientific article

Abstract: Reliable identification of hop (Humulus lupulus L.) cultivars is important for quality control and authentication in the brewing industry. DNA-based methods provide a powerful tool for this purpose, but isolation of high-quality DNA from processed hop materials such as cones and pellets can be challenging due to the presence of PCR inhibitors, including polyphenols, polysaccharides, and bitter acids. In this study we compared four cetyltrimethylammonium bromide (CTAB)-based DNA extraction protocols for hop cones and pellets, with the aim of improving yield and purity of DNA used for microsatellite genotyping. The tested methods included the standard CTAB protocol, CTAB supplemented with polyvinylpyrrolidone (PVP40), CTAB with PVP40 and activated charcoal, and CTAB with PVP10 and liquid nitrogen grinding. Additionally, a hexane pre-treatment step was evaluated with the aim to reduce the amount of PCR inhibitory compounds. DNA quality was assessed using NanoVue, Qubit, and agarose gel electrophoresis. Agarose gels showed intact high-molecular-weight DNA with minor RNA traces. Microsatellite genotyping confirmed consistent allele profiles across the first three extraction methods, thus confirming the suitability of CTAB-based methods for reliable hop genotyping.
Keywords: hop, Humulus lupulus, DNA extraction, CTAB, genotyping
Published in DiRROS: 26.02.2026; Views: 85; Downloads: 57
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2.
Production economics estimation on hop farms
Martin Pavlovič, 2025, professional article

Abstract: Hops are international trading commodity in agricultural markets. As per acreage of hops - Slovenia is positioned in 2025 as the 5th country on a global hop market. Farmers may acquire accurate estimate of production costs and gross margin (EUR/ha) by participating on workshops for benchmarking of economics at farm level. On workshops in 2025 input data about cultivation technology and production costs as well as revenues related to production and marketing of hops were analyzed from 10 farms for the 2024 growing season. In the paper we illustrate the three key economic parameters related to competitive value of hop farms analyzed. The average group revenue amounted 10,463 EUR/ha, the average group variable costs were assessed as 6,476 EUR/ha and the average gross margin was calculated as 4,169 EUR/ha. The included farmers acknowledged benefits and have thus accepted for the fourth time (since 2021) the presented method of a group assessment of hop production economics at farms level.
Keywords: hop, hop industry, farms, costs analysis, gross margin, model PKH
Published in DiRROS: 26.02.2026; Views: 114; Downloads: 69
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3.
Year-to-year variability in xylem and phloem traits of co-existing Fraxinus ornus, Quercus pubescens and Ostrya carpinifolia
Jožica Gričar, Klemen Eler, Saša Ogorevc, Debojit Chanda, Sarkiri Kro, Mohendra Thapa, Polona Hafner, Peter Prislan, 2026, original scientific article

Abstract: The xylem and phloem anatomy of co-existing tree species provides valuable information on how different tree species face climate change and adjust their vascular structure to local weather conditions. We examined and compared annual ring widths and conduit size in earlywood and early phloem in Fraxinus ornus, Quercus pubescens and Ostrya carpinifolia in a sub-Mediterranean site in the period 2019–2021. The selected xylem and phloem traits were correlated with monthly weather conditions (precipitation and temperature). We found that phloem increment widths and conduits in earlywood and early phloem in the studied tree species showed different trends in terms of interannual variability and in relation to local weather conditions. In F. ornus, May conditions affected xylem traits, while June conditions phloem traits. In Q. pubescens, winter and March precipitation was related to phloem development. In O. carpinifolia, xylem ring width was positively correlated with June precipitation, while early phloem conduits were negatively affected by April temperature. Only two consistent patterns were detected across the species and years studied: wider xylem increments compared to phloem increments, and wider earlywood vessels compared to early phloem sieve tubes. Statistically significant differences were observed among species across all years for the size of xylem and phloem conduits and the hydraulic conductivity of earlywood vessels, which indicates great differences in the calculated hydraulic conductivity among the tree species. To summarize, hydraulic conductivity of earlywood vessels in Q. pubescens was on average for all three years 10.4 -times and 114-times larger than in F. ornus and O. carpinifolia, respectively. High interannual variability and species-specific sensitivity of xylem and phloem traits to precipitation and temperature confirm high plasticity and different radial growth strategies of the studied tree species to ensure optimal functioning under local weather conditions.
Keywords: manna ash, pubescent oak, European hop-hornbeam, earlywood, early phloem, wood anatomy, sub-Mediterranean
Published in DiRROS: 12.02.2026; Views: 468; Downloads: 104
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4.
Enhancing the reliability and accuracy of wireless sensor networks using a deep learning and blockchain approach with DV‑HOP algorithm for DDoS mitigation and node localization
Bhupinder Kaur, Deepak Prashar, Leo Mršić, Ahmad Almogren, Ateeq Ur Rehman, Ayman Altameem, Seada Hussen, 2025, original scientific article

Abstract: Wireless sensor networks (WSNs) are subject to distributed denial-of-service (DDoS) attacks that impact data dependability, mobility of nodes, and energy drain. The remedy to these challenges in this work is a solution based on deep learning integrated with a blockchain-aided distance-vector hop (DV-HOP) localization algorithm for reliable and secure node localization. Incorporating a blockchain ledger makes the network more trustworthy as it verifies usual and unusual system activities, whereas the DV-HOP algorithm mitigates localization inaccuracies and enhances node placement. The system is evaluated according to different performance measures like localization error, accuracy ratio, average localization error (ALE), probability of location, false positive rate (FPR), false negative rate (FNR), energy utilization, network stability, node failure rate, node recovery rate, and malicious node detection rate. Experimental results reveal improved security, accuracy, and efficiency with 17% FPR and 15% FNR, outperforming the conventional methods. This model enhances WSN performance in different environments via precise data transmission from the source to the destination. The results confirm that integrating deep learning with blockchain and DV-HOP increases network robustness, thus making WSNs more secure against security attacks while reducing energy consumption and localization accuracy. The proposed model presents a strong solution for real-world applications in wireless network environments.
Keywords: wireless network devices, DV-HOP algorithm, blockchain ledger, reliable network devices, deep learning
Published in DiRROS: 09.09.2025; Views: 442; Downloads: 227
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5.
Mycelial communities associated with Ostrya carpinifolia, Quercus pubescens and Pinus nigra in a patchy Sub-Mediterranean Karst woodland
Tanja Mrak, Philip Alan Brailey-Crane, Nataša Šibanc, Tijana Martinović, Jožica Gričar, Hojka Kraigher, 2025, original scientific article

Abstract: Common mycorrhizal networks of ectomycorrhizal (EcM) fungi could be of great benefit to trees growing in the shallow soils of Sub-Mediterranean Karst ecosystems, potentially playing a crucial role in the survival of trees in this harsh environment. The first step to confirm the existence of such networks is to assess the extent and nature of symbiont sharing in the mycelial community. To address this question, we incubated in-growth mesh bags under the native Ostrya carpinifolia and Quercus pubescens, and the non-native Pinus nigra, over two consecutive years. In Q. pubescens and P. nigra, but not in O. carpinifolia, mycelium production was significantly higher in the year with higher spring precipitation, indicating the influence of climatic conditions, but also the identity of the host tree. We observed a complex interaction between tree species and sampling year in structuring the composition and diversity of mycelial communities. Local environmental conditions contributed additionally and were responsible for 21.46% of the community variation between samples. Although ~ 70% of fungal operational taxonomic units were shared across the studied tree species, distinct community compositions emerged, emphasizing the role of host tree specificity. Q. pubescens exhibited greater stability in EcM richness between sampling years, whereas P. nigra showed lower EcM richness, likely due to limited availability of compatible fungi and reliance on introduced fungal partners. Additionally, differences in EcM fungal exploration strategies were observed. O. carpinifolia and Q. pubescens mainly hosted non-specific EcM fungi with short distance exploration types. In contrast, EcM fungi of P. nigra had higher spatial spread, and were predominantly conifer specific. Overall, our results emphasize the importance of host specificity, soil parameters, spatial proximity, and climatic variability for the structuring of mycelial communities in fragmented forests.
Keywords: ectomycorrhizal fungi, mesh bags, exploration strategies, hop-hornbeam, Pubescent oak, European black pine
Published in DiRROS: 30.07.2025; Views: 549; Downloads: 358
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