The creation of salt-tolerant wheat genotypes can provide a basis for sustainable wheat production in areas that are particularly sensitive to the impacts of climate change on soil salinity. This study aimed to select salt-tolerant wheat genotypes that could serve as a genetic resource in breeding for salinity tolerance. A two-year experiment was established with 27 wheat genotypes, grown in salinity stress and non-stress conditions. Agronomic parameters (plant height, spike weight, number of grains per spike, thousand grain weight, and grain yield/plant) were analyzed in the phenophase of full maturity, while biochemical parameters (DPPH radical scavenging activity and total phenolic content) were tested in four phenophases. Grain yield/plant was the most sensitive parameter to salinity, with a 31.5% reduction in value. Selection based on salt tolerance indices (STI, MP, and GMP) favored the selection of the genotypes Renesansa, Harmonija, Orašanka, Bankut 1205, KG-58, and Jugoslavija. Based on YI (1.30) and stability analysis, the genotype Harmonija stands out as the most desirable genotype for cultivation in saline conditions. The presence of positive correlations between grain yield/plant and biochemical parameters, in all phenophases, enables the selection of genotypes with high antioxidant activity and high yield potential, even in the early stages of plant development.

Climate change projections for the 21st century pose great threats to semi-arid regions, impacting seed production and the quality of sunflowers. Crop yields are negatively affected by climate variability, especially in the event of droughts during the crucial growth stages. Understanding the relationships between agrometeorological, genetic, and agronomic factors is crucial for maintaining crop sustainability. Optimal sowing dates are an essential condition for maximizing crop genetic potential, but challenges come from annual weather variations. This study analyzes how sunflower genotypes respond to different sowing dates under climate change and focuses on the conditions for obtaining maximum seed yields and favorable agronomic traits. From 2020 to 2022, the experiment featured six genotypes sown across four different dates at two-week intervals, simulating seed sunflower production. The results obtained by ANOVA indicated that the seed yield and oil yield were significantly affected by the sowing date, the genotype, and their interaction, with coefficients of variation ranging from 7.6% for oil yield to 41.1% for seed yield. Besides seed yield and oil yield, LDA biplot and Discriminant Functions confirmed that seed germination energy also played a significant role in separating genotypes into clusters. A Visual Mixed Model showed that shifting the optimal sowing date (mid-April) to early May allows a reduction in the number of days the plants spend in critical growth stages, thereby escaping stressful conditions during pollination and seed filling. The findings resulted, on average, in increased yields and improved seed quality, which are the primary goals of seed production, but not in increased 1000-seed weight. Notably, high temperatures during the critical sunflower growth stages negatively affected the measured parameters of seed production. The increased precipitation during seed filling boosted the 1000-seed mass and seed yield. Extended flowering reduced the growth rate and seed germination, but longer seed filling increased the 1000-seed mass and seed yield. Our future breeding goals will be to create genotypes with a shorter flowering period and an extended seed-filling period to better respond to climate change.

Spatial distribution of soil organic carbon (SOC) is the result of a combination of various factors related to both the natural environment and anthropogenic activities. The aim of this study was to examine (i) the state of SOC in topsoil and subsoil of vineyards compared to the nearest forest, (ii) the influence of soil management on SOC, (iii) the variation in SOC content with topographic position, (iv) the intensity of soil erosion in order to estimate the leaching of SOC from upper to lower topographic positions, and (v) the significance of SOC for the reduction of soil’s susceptibility to compaction. The study area was the vineyard region of Niš, which represents a medium-sized vineyard region in Serbia. About 32% of the total land area is affected, to some degree, by soil erosion. However, according to the mean annual soil loss rate, the total area is classified as having tolerable erosion risk. Land use was shown to be an important factor that controls SOC content. The vineyards contained less SOC than forest land. The SOC content was affected by topographic position. The interactive effect of topographic position and land use on SOC was significant. The SOC of forest land was significantly higher at the upper position than at the middle and lower positions. Spatial distribution of organic carbon in vineyards was not influenced by altitude, but occurred as a consequence of different soil management practices. The deep tillage at 60–80 cm, along with application of organic amendments, showed the potential to preserve SOC in the subsoil and prevent carbon loss from the surface layer. Penetrometric resistance values indicated optimum soil compaction in the surface layer of the soil, while low permeability was observed in deeper layers. Increases in SOC content reduce soil compaction and thus the risk of erosion and landslides. Knowledge of soil carbon distribution as a function of topographic position, land use and soil management is important for sustainable production and climate change mitigation.

Through choosing bread wheat genotypes that can be cultivated in less productive areas, one can increase the economic worth of those lands, and increase the area under cultivation for this strategic crop. As a result, more food sources will be available for the growing global population. The phenotypic variation of ear mass and grain mass per ear, as well as the genotype × environment interaction, were studied in 11 wheat (Triticum aestivum L.) cultivars and 1 triticale (Triticosecale W.) cultivar grown under soil salinity stress (3S) during three vegetation seasons. The results of the experiment set on the control variant (solonetz) were compared to the results obtained from soil reclaimed by phosphogypsum in the amount of 25 t × ha⁻¹ and 50 t × ha⁻¹. Using the AMMI analysis of variance, there was found to be a statistically significant influence of additive and non-additive sources of variation on the phenotypic variation of the analyzed traits. Although the local landrace Banatka and the old variety Bankut 1205 did not have high enough genetic capacity to exhibit high values of ear mass, they were well-adapted to 3S. The highest average values of grain mass per ear and the lowest average values of the coefficient of variation were obtained in all test variants under microclimatic condition B. On soil reclaimed by 25 t × ha⁻¹ and 50 t × ha⁻¹ of phosphogypsum, in microclimate C, the genotypes showed the highest stability. The most stable genotypes were Rapsodija and Renesansa. Under 3S, genotype Simonida produced one of the most stable reactions for grain mass per ear.

This study investigates the phenotypic diversity of spring-flowering Crocus species native to Serbia by analyzing their morphological traits and flower color variations. Detailed phenotypic characterization was performed on seven species: C. alexandri, C. chrysanthus, C. heuffelianus, C. randjeloviciorum, C. rujanensis, C. variegatus, and C. weldenii. The study examines how morphological parameters of tested species diverged from average values during a hot and dry winter, resulting in smaller plants, earlier and shorter flowering periods, and reduced flower size, regardless of species. Hierarchical clustering based on morphological traits grouped the species into three clusters: the first cluster included C. alexandri, C. chrysanthus, C. rujanensis, and C. weldenii, characterized by the highest number of leaves and the lowest number of flowers; the second consisted of C. randjeloviciorum, distinguished by shorter plant height and the greatest number of flowers; and the third cluster comprised C. heuffelianus and C. variegatus, notable for the tallest plants, widest corms and leaves, and longest perigon segments. Grouping based on petal color components (L*, a*, b*, chroma, and hue) formed five distinct clusters, demonstrating differences in flower color. These findings are valuable for taxonomic classification, conservation measures, and breeding programs, which ultimately support the conservation of biodiversity and the promotion of ornamental plant cultivation. Flower color in particular has proven to be a reliable species indicator, as it remains constant despite the year and/or habitat. The use of a colorimeter can speed up the identification of species in the field and provides researchers and conservationists with a practical tool.

This study evaluated the effects of foliar-applied calcium-based fertilizers, including a conventional fertilizer (T1) and a nanofertilizer containing Ca, Si, B, and Fe (T2), on fruit traits, seed quality, and early seedling growth of seven determinate tomato genotypes. Field-grown plants were monitored for fruit traits, while seeds underwent germination tests and seedling growth assessments under controlled laboratory conditions. Factorial ANOVA showed significant effects of genotype, treatment, and their interaction on fruit weight, width, germination energy, final germination, seedling vigor index, and initial plant growth, indicating genotype-specific responses. Treatment T2 significantly increased fruit weight and width, germination energy, final germination, seedling vigor, root length, and biomass compared to T1 and control (T0), while shoot elongation rate remained unaffected. Total soluble solids decreased under both treatments, but fruit length, pericarp thickness, and locule number were mainly genetically determined. Principal Component Analysis highlighted differentiation among treatments and correlations among key traits. The enhanced performance under T2 likely results from the synergistic effects of Ca, Si, B, and Fe, improving nutrient uptake and physiological activity. These findings suggest that foliar nanofertilizer application is a promising approach to optimize tomato yield and seedling performance.