@article{MTMT:34832209, title = {Impacts of N-P-K-Mg Fertilizer Combinations on Tree Parameters and Fungal Disease Incidences in Apple Cultivars with Varying Disease Susceptibility}, url = {https://m2.mtmt.hu/api/publication/34832209}, author = {Csihon, Ádám and Gonda, István and Sipos, Marianna and Holb, Imre}, doi = {10.3390/plants13091217}, journal-iso = {PLANTS-BASEL}, journal = {PLANTS-BASEL}, volume = {13}, unique-id = {34832209}, abstract = {Adequate mineral fertilization helps to ensure optimal tree growth, fruit development, and predictable yield of apple trees. This 7-year study (2016–2022) aims to investigate the effect of nitrogen (N), phosphorus (P), potassium (K), and magnesium (Mg) fertilizer combinations (NP, NPK, NPKMg, and control) on eight parameters (trunk cross-sectional area—TCSA; fruit yield—FY; number of fruit per tree—FNT; crop load—CL; fruit diameter—FD; fruit weight—FW; fruit scab incidence—FSI; and powdery mildew incidence on shoot—PMIS) on the cultivars (cvs) ‘Golden Reinders’ (disease susceptible) and ‘Pinova’ (scab and mildew tolerant). In the 7-year period, TCSA values continuously increased for both cultivars over the years. Fertilizer treatments showed significant differences on TCSA but the effect varied greatly annually among fertilizer treatments. Fertilizer treatments had increasing effects on FY and FNT in 2018 and 2022, on CL in 2018, on FD in 2018 and 2019, and on FW in 2016 and 2018 in both cultivars compared to the control treatment. FSI values were the lowest in the NPKMg treatment for cv. ‘Golden Reinders’ in 2016, 2017, and 2022; for cv. ‘Pinova’ in 2016; PMIS values for cv. ‘Golden Reinders’ in 2017, 2018, 2021, and 2022; and for cv. ‘Pinova’ in 2018. Correlation and regression analyses revealed strong and significant (p = 0.05) relationships between FNT versus (vs.) TCSA, FNT vs. FY, FW vs. TCSA, CL vs. FY, FW vs. FD, and FSI vs. FW. In conclusion, our study showed that multiyear application of fertilizer combinations can successfully increase TCSA and yield parameters as well as reduce fungal disease incidences, especially on the disease-susceptible cultivar in sandy soil with moderate fertility, under Central-European continental climate conditions.}, year = {2024}, eissn = {2223-7747}, orcid-numbers = {Csihon, Ádám/0000-0001-6848-9891} } @article{MTMT:34794496, title = {Környezetkímélő növényvédelmi eljárások a gyümölcstermesztésben}, url = {https://m2.mtmt.hu/api/publication/34794496}, author = {Csihon, Ádám and Sipos, Marianna}, journal-iso = {AGROFÓRUM EXTRA}, journal = {AGROFÓRUM EXTRA}, unique-id = {34794496}, issn = {1788-7380}, year = {2024}, pages = {26-32}, orcid-numbers = {Csihon, Ádám/0000-0001-6848-9891} } @article{MTMT:34741333, title = {Classification Assessment Tool: A program to measure the uncertainty of classification models in terms of class-level metrics}, url = {https://m2.mtmt.hu/api/publication/34741333}, author = {Szabó, Szilárd and Holb, Imre and Abriha-Molnár, Vanda Éva and Szatmári, Gábor and Singh, Sudhir Kumar and Abriha, Dávid}, doi = {10.1016/j.asoc.2024.111468}, journal-iso = {APPL SOFT COMPUT}, journal = {APPLIED SOFT COMPUTING}, volume = {155}, unique-id = {34741333}, issn = {1568-4946}, abstract = {Accuracy assessments are important steps of classifications and get higher relevance with the soar of machine and deep learning techniques. We provided a method for quick model evaluations with several options: calculate the class level accuracy metrics for as many models and classes as needed; calculate model stability using random subsets of the testing data. The outputs are single calculations, summaries of the repetitions, and/or all accuracy results per repetitions. Using the application, we demonstrated the possibilities of the function and analyzed the accuracies of three experiments. We found that some popular metrics, the binary Overall Accuracy, Sensitivity, Precision, and Specificity, as well as ROC curve, can provide false results when the true negative cases dominate. F1-score, Intersection over Union and the Matthews correlation coefficient were reliable in all experiments. Medians and interquartile ranges (IQR) of the repeated sampling from the testing dataset showed that IQR were small when a model was almost perfect or completely unacceptable; thus, IQR reflected the model stability, reproducibility. We found that there were no general, statistically justified relationship with the median and IQR, furthermore, correlations of accuracy metrics varied by experiments, too. Accordingly, a multi-metric evaluation is suggested instead of a single metric.}, keywords = {REPETITION; Python; model evaluation; Model stability}, year = {2024}, eissn = {1872-9681}, orcid-numbers = {Szabó, Szilárd/0000-0002-2670-7384; Szatmári, Gábor/0000-0003-3201-598X} } @article{MTMT:34733055, title = {The Economic Potential of Agrivoltaic Systems in Apple Cultivation—A Hungarian Case Study}, url = {https://m2.mtmt.hu/api/publication/34733055}, author = {Chalgynbayeva, Aidana and Balogh, Péter and Szőllősi, László and Gabnai, Zoltán and Apáti, Ferenc and Sipos, Marianna and Bai, Attila}, doi = {10.3390/su16062325}, journal-iso = {SUSTAINABILITY-BASEL}, journal = {SUSTAINABILITY}, volume = {16}, unique-id = {34733055}, abstract = {Agrivoltaic systems (AVS) allow the simultaneous use of land—as a limited resource—for crop production and electricity generation. This paper introduces the development prospects of AVS in Hungary with insights into international trends. The most important part is a complex economic analysis and a unit cost analysis of a 38 MWp capacity AVS, considering the most typical basic data in electricity and apple production. The applied risk analysis is based on a Monte Carlo simulation, the distribution function, and probabilities. To introduce the economic facet of the competitiveness of AVS, a comparative analysis was carried out between AVS, ground-mounted photovoltaic (GM-PV) systems, and conventional apple production systems (ConAPS). In the most probable scenario, the AVS was financially attractive (NPV = 70 million EUR under 30 years). Our correlation analysis shows that feed-in tariff (FIT) price and the role of financing are considered the dominant economic factors. A favorable FIT price enhances the profitability of AVS; however, it makes GM-PV systems more profitable compared to AVS, so it negatively affects the competitiveness of AVS systems. AVS operations result in a more balanced unit cost of apples and of electricity compared to the independent operation of GM-PV systems and of ConAPS; in addition, it allows for land saving and more intensive land use.}, year = {2024}, eissn = {2071-1050}, orcid-numbers = {Chalgynbayeva, Aidana/0000-0002-9841-7765; Balogh, Péter/0000-0002-8611-0221; Szőllősi, László/0000-0003-3571-1382} } @article{MTMT:34522494, title = {Living mulch enhances soil enzyme activities, nitrogen pools and water retention in giant reed (Arundo donax L.) plantations}, url = {https://m2.mtmt.hu/api/publication/34522494}, author = {Elhawat, Nevien and Balláné Kovács, Andrea and Antal, Gabriella and Kurucz, Erika and Domokos-Szabolcsy, Éva and Fári, Miklós Gábor and Alshaal, Tarek Ali Ahmed Ibrahim}, doi = {10.1038/s41598-024-51491-z}, journal-iso = {SCI REP}, journal = {SCIENTIFIC REPORTS}, volume = {14}, unique-id = {34522494}, issn = {2045-2322}, abstract = {Giant reed ( Arundo donax L.) is one of the most well-studied perennial biomass crops because of its high productivity and potential to store carbon. Yet, little information on controlling weeds in giant reed plantations and their influences on the soil ecosystem is available. In the present study, three different weed control methods, i.e., intercropping (living mulch) with sweet clover ( Melilotus officinalis L.), herbicide (glyphosate), and hoeing, were investigated in a 2-year giant reed farm. The intercropping presented significantly higher values (on average) of all the tested soil properties than herbicide and hoeing, except for the catalase activity and pH. The dehydrogenase, phosphatase, and urease activities in the soil under intercropping were higher than the herbicide by 75%, 65%, and 80% (on average), respectively. Also, the soil under intercropping had higher soil organic matter (SOM) and soil respiration than the herbicide by 20% and 25%, respectively. Intercropping also increased the content of N pools, i.e., NO 3 − ˗N, NH 4 + ˗N, Org-N, and Total-N by 517%, 356%, 38%, and 137%, respectively, compared to herbicide. These findings illustrated that controlling weeds in biomass plantations through legume intercropping brings benefits not only to soil properties but also to biomass productivity.}, keywords = {HERBICIDES; SOIL; WATER; Chemistry; Nitrogen; POACEAE}, year = {2024}, eissn = {2045-2322} } @article{MTMT:34092358, title = {Deep learning‐based training data augmentation combined with post‐classification improves the classification accuracy for dominant and scattered invasive forest tree species}, url = {https://m2.mtmt.hu/api/publication/34092358}, author = {Likó, Szilárd Balázs and Holb, Imre and Oláh, Viktor and Burai, Péter and Szabó, Szilárd}, doi = {10.1002/rse2.365}, journal-iso = {REMOTE SENS ECOL CON}, journal = {REMOTE SENSING IN ECOLOGY AND CONSERVATION}, unique-id = {34092358}, abstract = {Species composition of forests is a very important component from the point of view of nature conservation and forestry. We aimed to identify 10 tree species in a hilly forest stand using a hyperspectral aerial image with a particular focus on two invasive species, namely Ailanthus tree and black locust. Deep learning‐based training data augmentation (TDA) and post‐classification techniques were tested with Random Forest and Support Vector Machine (SVM) classifiers. SVM had better performance with 81.6% overall accuracy (OA). TDA increased the OA to 82.5% and post‐classification with segmentation improved the total accuracy to 86.2%. The class‐level performance was more convincing: the invasive Ailanthus trees were identified with 40% higher producer's and user's accuracies (PA and UA) to 70% related to the common technique (using a training dataset and classifying the trees). The PA and UA did not change in the case of the other invasive species, black locust. Accordingly, this new method identifies well Ailanthus, a sparsely distributed species in the area; while it was less efficient with black locust that dominates larger patches in the stand. The combination of the two ancillary steps of hyperspectral image classification proved to be reasonable and can support forest management planning and nature conservation in the future.}, keywords = {Black locust; Multiresolution segmentation; Convolutional-Neural-Network; RANDOM-FOREST; Support-vector-machine; ailanthus}, year = {2024}, eissn = {2056-3485}, orcid-numbers = {Oláh, Viktor/0000-0001-5410-5914; Szabó, Szilárd/0000-0002-2670-7384} } @{MTMT:34655033, title = {A cékla, mint potenciális forrás a megfelelő magnézium ellátáshoz. Beetroot as a potential source for proper magnesium supply}, url = {https://m2.mtmt.hu/api/publication/34655033}, author = {El-Amine, B. M. and Takácsné Hájos, Mária}, booktitle = {18. Magyar Magnézium Szimpózium}, unique-id = {34655033}, year = {2023}, pages = {21-22} } @{MTMT:34654931, title = {Gyökérzöldségek potenciális szerepe az ásványi elem utánpótlásban. The potential role of root vegetables in mineral element supply}, url = {https://m2.mtmt.hu/api/publication/34654931}, author = {Takácsné Hájos, Mária and El-Amine, B. M.}, booktitle = {18. Magyar Magnézium Szimpózium}, unique-id = {34654931}, year = {2023}, pages = {17-18} } @{MTMT:34654756, title = {A magnézium biológiai jelentősége - Mg az elfelejtett tápelem. Biological significance of magnesium - Mg the forgetten mineral element}, url = {https://m2.mtmt.hu/api/publication/34654756}, author = {Takácsné Hájos, Mária}, booktitle = {18. Magyar Magnézium Szimpózium}, unique-id = {34654756}, year = {2023}, pages = {9-10} } @article{MTMT:34566202, title = {A csicsóka szerepe a termesztésben a klímaváltozás korában}, url = {https://m2.mtmt.hu/api/publication/34566202}, author = {Kaszás, László and Hodossi, Sándor}, journal-iso = {MEZŐHÍR}, journal = {MEZŐHÍR: ORSZÁGOS AGRÁRINFORMÁCIÓS SZAKLAP}, volume = {27}, unique-id = {34566202}, issn = {1587-060X}, abstract = {A változó klimatikus körülményeink között a szélsőségeket jól tűrő, ilyen körülmények között is biztonságosan termeszthető kultúrnövények nagyobb arányú termesztése indokolt.}, year = {2023}, pages = {10-11} }