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- Bibliografia Publikacji Pracowników IUNG-PIB jest zbiorem opisów bibliograficznych publikacji pracowników Instytutu.
- Czasopisma naukowe: Polish Journal of Agronomy (kontynuacja Pamiętnika Puławskiego); Nawozy i Nawożenie ( Fertilizers and Fertilization)
- "Pamiętnik Puławski" jest kontynuacją ukazującego się w okresie międzywojennym "Pamiętnika PINGW". Publikacja zawiera syntetyczne opracowania wyników badań prowadzonych przez pracowników IUNG, opatrzone streszczeniami w języku angielskimi i rosyjskim. W latach 1961-2010 opublikowano 152 zeszyty "Pamiętnika Puławskiego". Kontynuatorem tej publikacji jest czasopismo "Polish Journal of Agronomy"
- Zbiór zawiera instrukcje upowszechnieniowe, wdrożeniowe, zalecenia agrotechniczne, materiały szkoleniowe.
- Zbiór zawiera prace doktorskie obronione w IUNG-PIB oraz Monografie i Rozprawy Naukowe
Recent Submissions
Prediction of the spatial distribution of soil organic carbon content in Central European agriculturally used peatlands: a case study of the Grójec Valley, Central Poland
(Springer, 2026-03-14) Pindral, Sylwia; Mendyk, Łukasz; Coblinski, João Augusto; Sykuła, Marcin; Joel, Michael Foredapwa; Glina, Bartłomiej
Purpose Soil organic carbon (SOC) plays a crucial role in ecosystem functioning, especially in agriculturally used grassland habitats, where organic soils often constitute a significant share. They provide a wide range of ecosystem services, such as carbon sequestration and climate regulation, water cycling, and biomass production. At the same time, the grassland environment can be easily degraded by intensive agricultural practices. Understanding the spatial distribution of SOC is crucial for sustainable land management. In this study, we focus on the Grójec Valley, a grassland dominated area in central Poland, to predict the distribution of SOC. The valley is characterized by diverse land cover, including arable land, grasslands, forests, and wetlands. We aimed to use fine-scale auxiliary variables to predict the distribution of SOC content in the uppermost (0–30 cm) soil layers and compare the produced map with existing fine-scale soil maps.
Materials and methods Soil samples were collected from 85 locations within the valley and analyzed for SOC content. We implemented the Digital Soil Mapping (DSM) approach using the Quantile Regression Forests (QRF) algorithm to predict SOC content within the study area. As a set of covariates, we included Sentinel-2 data-based indices and various layers produced from a digital elevation model.
Results The model proved effective in predicting SOC content across the entire valley. Areas with high SOC content were associated with specific land cover types and corresponded with the organic soil contours on the soil-agricultural map. Our findings can provide important information for decision-makers and farmers about the state of soils within the studied area (which well represent the agriculturally used fen peatlands of Central Europe) to help with targeted soil conservation efforts. Moreover, fine-scale maps of SOC can be useful for precision agriculture and sustainable land use planning.
Conclusion This study highlights the potential of integrating digital soil mapping techniques with remote sensing data to predict SOC content at a fine spatial scale. Our results demonstrate that such an approach can effectively capture the
heterogeneity of organic carbon in agriculturally used fen peatlands. These findings contribute to a better understanding of carbon dynamics in drained soils, which is essential for improving soil carbon accounting, supporting climate change mitigation strategies, and guiding sustainable land management practices across temperate regions.
Cross-comparison of national drought monitoring products in Central Europe using a new drought impact database
(Springer Nature, 2026) Luintel, Nirajan ; Bueechi, Emanuel; Poděbradská, Markéta; Trnka, Miroslav; Dolák, Lukáš; Cindrić Kalin, Ksenija ; Labudová, Lívia ; Řehoř, Jan; Lončar-Petrinjak, Ivan; Gregorič, Gregor ; Żyłowska, Katarzyna ; Dorigo, Wouter
Monitoring drought helps to reduce their economic and environmental impacts by enabling early warnings and better resource management planning. In Europe, there are several operational monitoring systems operating at national and regional scales. However, such monitoring systems are rarely validated, which complicates the decision-making process. Therefore, we evaluated six national drought monitoring products in Central Europe using a novel extreme event impact database compiled from national newspaper reports over the period 2000–2023. The drought monitoring indices used in the countries include the standardized precipitation index (SPI), standardized precipitation evapotranspiration index (SPEI), and standardized relative soil moisture with different aggregation periods. The area under receiver-operating characteristic curve (AUC) is used to assess the ability of the drought indices to detect impact occurrence. Spearman correlation coefficients (r) between the severity of the drought index and the number of reported impacts are used to assess their ability to capture impact severity. The highest AUC values were obtained for the drought monitoring products of Czechia, Croatia, and Slovenia (AUC > 0.8) while the lowest values were obtained for the monitoring product of Austria (AUC < 0.7). Impact severity was best captured in Poland (for some indices r > 0.6), and worst in Slovakia, Slovenia, and Austria (r < 0.4). With an increasing aggregation period, the correlation generally decreases, while the AUC values show a non-linear pattern, peaking at an intermediate integration time of three to 6 months. The results of this study help to understand the strengths and weaknesses of drought monitoring products in each country and support the development of a common drought monitoring framework for Central Europe.
Characterization of Fungi Communities in Organic Soybean Seeds Using DNA Sequencing: Effects of Cultivar and Location
(MDPI, 2026-02) Olszak-Przybyś, Hanna; Przybyś, Marcin; Bojarszczuk, Jolanta; Księżak, Jerzy
Organic soybean seeds are susceptible to colonization by numerous fungal pathogens, which can reduce their germination capacity and nutritional quality. This study evaluated fungi transmitted by seeds and their effects on selected seed quality parameters, as well as the influence of variety, location and growing season. In total, 471 fungal isolates belonging to 24 genera and 37 species were obtained from three soybean varieties (Erica, Es Commandor and Cerez PZO) cultivated at two locations during the 2022–2023 seasons. All obtained isolates were identified based on ITS sequencing, and Fusarium isolates were further characterized to the species level using TEF and RPB2 markers. Fusarium spp. was the most frequently isolated genus, accounting for 35.7% of all isolates, followed by Alternaria spp. (15.9%) and Aspergillus spp. (11.9%). Fungal frequency and species diversity differed significantly between years. Seed germination capacity was significantly lower in 2023 than in 2022 and coincided with higher fungal colonization, lower spring temperatures, and increased rainfall. A significant negative Pearson’s correlation (r = −0.58, p < 0.05) was found between fungi abundance and seed oil content, indicating a direct impact of fungal colonization on nutritional quality. These results highlight the role of environmental conditions in seed-borne pathogen communities and the need for monitoring and seed health management to ensure soybean seed quality.
Change in the Intensity of Soil Erosion via Water in the Vistula River Basin in Future Climate: A Comparison of the RCP 4.5 and RCP 8.5 Scenarios (2021–2050) Using the MUSLE Model
(MDPI, 2026-02-01) Badora, Damian; Wawer, Rafał; Król-Badziak, Aleksandra; Bartosiewicz, Beata; Kozyra, Jerzy
This study aims to assess how climate change will affect the intensity of soil erosion in the Vistula River basin by the mid-21st century. A simulation framework based on the SWAT–MUSLE model was applied, calibrated, and validated against observed streamflow data and driven by climatic forcings from the EURO-CORDEX ensemble (the RACMO22E, HIRHAM5, and RCA4 models forced by EC-EARTH GCM) under the RCP 4.5 and RCP 8.5 scenarios. Simulations were conducted at a daily time step for the years 2021–2050 and compared to the reference period 2013–2018. The analysis included the decadal and seasonal aggregation of the sediment yield (SYLD, t ha−1 yr−1). The results indicate that, relative to the baseline value (~1.84 t ha−1 yr−1), the SYLD increases under both scenarios. In RCP 4.5, the rise culminates during 2031–2040 and then stabilizes in 2041–2050. Under RCP 8.5, a continuous upward trend is observed, with the highest values projected for 2041–2050, particularly for the HIRHAM5 realization. The largest relative increases occur in summer (JJA) and, in the final decade, also in autumn (SON); in the early horizon, autumn may locally exhibit declines that later shift to increases. The spread among RCM realizations remains significant and should be interpreted as an expression of projection uncertainty. The practical implications include prioritizing soil protection measures in sub-catchments with high LS factors and soils susceptible to water erosion, strengthening runoff and sediment control in summer, and planning maintenance of small-scale retention infrastructure. Study limitations arise from the inherent structure of the MUSLE model, bias correction procedures for climate data, and the representation of extreme events. Therefore, greater emphasis is placed on the direction and seasonality of changes rather than absolute numerical values.
Functionally rich crop rotations increase calorie and macronutrient outputs across Europe
(Springer Nature, 2026) Vico, Giulia; Costa, Alessio; Smith, Monique E.; Bowles, Timothy; Gaudin, Amélie C. M.; Watson, Christine A.; Baldoni, Guido; Berti, Antonio; Blecharczyk, Andrzej; Jończyk, Krzysztof; Mazzon, Martina; Marzadori, Claudio; Morari, Francesco; Negri, Lorenzo; Onofri, Andrea; Pasamón, José Luis Tenorio; Sandström, Boël; Santín-Montanyá, Inés; Sawińska, Zuzanna; Stalenga, Jarosław; Tei, Francesco; Topp, Cairistiona F. E.; Walker, Robin L.; Bommarco, Riccardo
Increased crop diversity in cereal-dominated rotations can enhance crop protection, nutrient use efficiency and climate change adaptation. Nevertheless, it is argued that replacing cereals in rotations diminishes food production, threatening food security. Here we compared outputs of calories and macronutrients (carbohydrates, proteins, fats) for human consumption from cereal monocultures, cereal-only rotations and rotations including two or three functionally distinct crop types (cereals plus root and oil crops, legumes or ley) in 16 long-term experiments across Europe. Rotations with three functional types produced more calories and macronutrients than cereal monocultures and cereal-only rotations with forage crops used to produce milk. Carbohydrate gains depended on growing conditions and crop choice. Advantages increased over time but were lost with forage crops used for beef or biofuel. Functionally rich rotations provided macronutrient proportions closer to recommended human diets. Our analysis shows no trade-off between functionally rich rotations and food production or agricultural land expansion.