TY - JOUR AU - Ashaolu, T.J. AU - Greff, Babett AU - Varga, László TI - Action and immunomodulatory mechanisms, formulations, and safety concerns of probiotics JF - BIOSCIENCE OF MICROBIOTA FOOD AND HEALTH J2 - BIOSCI MICROB FOOD H VL - 44 PY - 2025 IS - 1 SN - 2186-6953 DO - 10.12938/bmfh.2024-006 UR - https://m2.mtmt.hu/api/publication/35191694 ID - 35191694 LA - English DB - MTMT ER - TY - JOUR AU - Ashaolu, T.J. AU - Greff, Babett AU - Varga, László TI - The structure–function relationships and techno-functions of β-conglycinin JF - FOOD CHEMISTRY J2 - FOOD CHEM VL - 462 PY - 2025 PG - 13 SN - 0308-8146 DO - 10.1016/j.foodchem.2024.140950 UR - https://m2.mtmt.hu/api/publication/35188444 ID - 35188444 LA - English DB - MTMT ER - TY - JOUR AU - Koczor, Ádám AU - Ádám, János AU - Ágoston, János AU - Salánki, Katalin AU - Palkovics, László TI - Investigation of viral diseases of garlic (Allium sativum L.), new primers for RT-PCR detection and diversity of garlic viruses in Hungary JF - PHYSIOLOGICAL AND MOLECULAR PLANT PATHOLOGY J2 - PHYSIOL MOL PLANT P VL - 134 PY - 2024 SN - 0885-5765 DO - 10.1016/j.pmpp.2024.102394 UR - https://m2.mtmt.hu/api/publication/35280508 ID - 35280508 LA - English DB - MTMT ER - TY - JOUR AU - Ermilov, Sergey G. AU - Kontschán, Jenő TI - New Sternoppia (Acari, Oribatida, Sternoppiidae) from Venezuela JF - INTERNATIONAL JOURNAL OF ACAROLOGY J2 - INT J ACAROL VL - (2024) PY - 2024 SP - 1 EP - 7 PG - 7 SN - 0164-7954 DO - 10.1080/01647954.2024.2390973 UR - https://m2.mtmt.hu/api/publication/35263721 ID - 35263721 LA - English DB - MTMT ER - TY - JOUR AU - Nyéki, Anikó Éva AU - Bázár, György AU - Hanyicska, Csaba AU - Tóth, Tamás AU - Húth, Balázs TI - IOT-eszközök a tejelő tehenek tenyésztésében és takarmányozásában JF - AGRÁRÁGAZAT J2 - AGRÁRÁGAZAT VL - XXV. PY - 2024 IS - IX. SP - 82 EP - 84 PG - 3 SN - 1586-3832 UR - https://m2.mtmt.hu/api/publication/35225972 ID - 35225972 N1 - A kutatómunkát a „Precíziós Bio-Műszaki Kutatócsoport" végezte, amelyet a "Széchenyi István Egyetemért Alapítvány Kuratóriuma" támogatott. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Czuppon, Benedek AU - Tempfli, Károly AU - Gulyás, László TI - Szakmai tanulmányút JF - KISTERMELŐK LAPJA J2 - KISTERMELŐK LAPJA VL - 68 PY - 2024 IS - 8 SP - 36 PG - 1 SN - 0238-9533 UR - https://m2.mtmt.hu/api/publication/35224464 ID - 35224464 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Szemerits, Balázs AU - Kukorelli, Gábor AU - Molnár, Zoltán TI - Influence of seed rate and row spacing across on two different maturity groups of sorghum grain yield and quality characteristics JF - BIO WEB OF CONFERENCES J2 - BIO WEB CONF VL - 125 PY - 2024 PG - 8 SN - 2273-1709 DO - 10.1051/bioconf/202412501009 UR - https://m2.mtmt.hu/api/publication/35200015 ID - 35200015 AB - The goal of this resesrch is to develop cultivation practices that optimize the economical cultivation of sorghum, taking into account current environmental factors., by determining the optimal seeding rate and row spacing for two different maturity groups of sorghum hybrids, RGT Icebergg (early) and RGT Huggo (mid-early). In this context, we examine the maximum achievable yield and quality characteristics. The experiment involved different plant densities: 210,000, 240,000, 270,000, and 300,000 plants/ha, and three different row spacings: 25, 45, and 76 cm. Through conducted experiments, significant differences have been observed in harvest moisture content, hectoliter weight, protein content, head size, and plant height. Significant differences were observed in the average number of head per square meter. Although similar average protein levels were measured for different genotypes, there were differences in their stability. Increasing row spacing decreased hectoliter weight, while increasing seeding rates increased it. Harvest moisture content was significantly higher with wider row spacings, while increasing plant density resulted in a slight decrease in moisture content. Looking at the average of the tested hybrids, the row spacing of 45 cm and the number of seed of 300,000 plants/ha are the most ideal combination to achieve the yield. LA - English DB - MTMT ER - TY - JOUR AU - Moldvai, László AU - Ambrus, Bálint AU - Teschner, Gergely AU - Nyéki, Anikó Éva TI - PARADICSOM HOZAMELŐREJELZÉS TECHNOLÓGIAI LÉPÉSEI GÉPI LÁTÁS SEGÍTSÉGÉVEL JF - ACTA AGRONOMICA ÓVÁRIENSIS J2 - ACTA AGRON ÓVÁR VL - 65 PY - 2024 IS - 1 SP - 89 EP - 113 PG - 25 SN - 1416-647X DO - 10.17108/ActAgrOvar.2024.65.1.89 UR - https://m2.mtmt.hu/api/publication/35199023 ID - 35199023 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Vörös , Levente AU - Kerekes, Gábor AU - Ábrahám, Rita TI - Control of western corn rootworm with entomopathogenic nematodes in maize monoculture JF - BIO WEB OF CONFERENCES J2 - BIO WEB CONF VL - 125 PY - 2024 PG - 9 SN - 2273-1709 DO - 10.1051/bioconf/202412501006 UR - https://m2.mtmt.hu/api/publication/35191942 ID - 35191942 AB - Western corn rootworm is one of the most dangerous pests of maize, and both the larvae and the imagoes thereof may cause significant damage to the plants. The options of controlling these pests have recently become highly limited, thus creating a great demand for new control methods complying with sustainable plant protection. These requirements are met by the natural enemies of these pests, such as entomopathogenic nematodes (e.g. Heterorhabditis bacteriophora, Gerritsen, 1994). The objective of this study was to determine whether the viability and larvicide effect of a single injection into the soil of 2 billion nematodes using various amounts of water (50, 100 or 200 L/hectare) was maintained even with the lower quantities. Our studies proved that the entomopathogenic nematodes retain their viability and larvicide effect when applied using 50 L/ha of water. The efficacy of the biological agent did not differ from that of Force 1.5G, a product containing Tefluthrin as active ingredient, which was used as positive control. LA - English DB - MTMT ER - TY - JOUR AU - Moldvai, László AU - Ambrus, Bálint AU - Teschner, Gergely AU - Nyéki, Anikó Éva TI - Weed detection in agricultural fields using machine vision JF - BIO WEB OF CONFERENCES J2 - BIO WEB CONF VL - 125 PY - 2024 PG - 13 SN - 2273-1709 DO - 10.1051/bioconf/202412501004 UR - https://m2.mtmt.hu/api/publication/35191052 ID - 35191052 N1 - A kutatómunkát a „Precíziós Bio-Műszaki Kutatócsoport" végezte, amelyet a "Széchenyi István Egyetemért Alapítvány Kuratóriuma" támogatott. The research was carried out by the "Precision Bioengineering Research Group", supported by the "Széchenyi István University Foundation". AB - Weeds have the potential to cause significant damage to agricultural fields, so the development of weed detection and automatic weed control in these areas is very important. Weed detection based on RGB images allows more efficient management of crop fields, reducing production costs and increasing yields. Conventional weed control methods can often be time-consuming and costly. It can also cause environmental damage through overuse of chemicals. Automated weed detection and control technologies enable precision agriculture, where weeds are accurately identified and targeted, minimizing chemical use and environmental impact. Overall, weed detection and automated weed control represent a significant step forward in agriculture, helping farmers to reduce production costs, increase crop safety, and develop more sustainable agricultural practices. Thanks to technological advances, we can expect more efficient and environmentally friendly solutions for weed control in the future. Developing weed detection and automated control technologies is crucial for enhancing agricultural efficiency. Employing RGB images for weed identification not only lowers production costs but also mitigates environmental damage caused by excessive chemical use. This study explores automated weed detection systems, emphasizing their role in precision agriculture, which ensures minimal chemical use while maximizing crop safety and sustainability. LA - English DB - MTMT ER -