Cephalaria joppensis Rchb. (CJ) has recently been domesticated as a new forage crop in Israel. Feeding trials with dairy cows and sheep have shown that CJ silage can replace wheat silage for these animals. The current work tested the effect of row spacing on the growth, yield, chemical composition and digestibility of CJ for forage. Two field trials were performed at a research farm in Acre to test three row spacings: (T1) 16 cm between rows (narrow row spacing), (T2) pairs of adjacent (16 cm apart) rows with 32 cm spacing between pairs (alternated row spacing) and (T3) 32 cm between rows (wide row spacing). T1 row spacing had the advantage of a better area coverage rate, which may be beneficial at the beginning of growth, reflected by the rapid establishment of the plants in the field, as well as in the competition with weeds. The growth rate was more significant in T2 and T3 row spacings. In the first year, a higher yield was obtained for T2 and T3 row spacings; in the second year, no differences in yield were found among the row spacing treatments. Row spacing did not affect the plant’s digestibility or chemical nutrition for ruminants. There was no uniformity in plant quality among the cultivars between the two years. Thus, we should define the phenological stages of Cephalaria joppensis and their relationship to nutritional quality at different sites having different climate conditions, in both small and semi-commercial plots.

DNA barcoding approaches have been successfully applied for estimating diet composition. However, an accurate quantification in the diets of herbivores remains to be achieved. In the current study, we present a novel methodology that reveals the relationship between the actual proportions (by mass) of each herbage species in the diets and the relative proportions of the ITS2 gene sequences obtained from faecal samples to evaluate the diet composition of sheep in a meadow steppe. Nine common and 12 rare species of plants were employed for formulating 6 diets, along with the addition of feed supplements for improving the growth performance of sheep. Faecal samples were collected for DNA analysis over the period spanning days 7–12. A significant positive correlation (Spearman’s ρ = 0.389) was obtained between the actual proportions (by mass) of the herbage in the diet provided and the relative abundance of ITS2 sequences obtained from the faecal samples. A significant regression coefficient was found between the relative abundance of all common species and their respective herbage mass proportions. The accuracy of the relation equations, evaluated by utilizing the similarity coefficient, showed 84.69% similarity between the actual diet composition and the correct percentage. Taken together, the current study has provided empirical evidence for the accuracy and applicability of ITS2 as a DNA barcode for obtaining quantitative information about the diet composition of sheep grazing in species-rich grasslands.

Reliable seasonal weather forecasts are essential for irrigation management and crop yield prediction, particularly in regions with limited water resources. This study aimed to improve the usability of the North American Multi-Model Ensemble (NMME), an experimental real-time seasonal weather forecast system, for regional crop modelling and irrigation decision-making. Coarse resolution of NMME may introduce bias and uncertainty at regional/local scales. To address this, a statistical downscaling method with bias correction for both mean and variability was used to produce 1-km gridded daily weather projections for temperature and precipitation across the contiguous United States from a representative NMME model, the Canadian Coupled Climate Model version 4 (CanCM4). The daily surface weather and climatological summaries (DAYMET) data were used to calibrate the downscaled hindcast projections of CanCM4. The reliability of downscaled CanCM4 forecasts for local crop modelling was evaluated at lead times of up to six months using a calibrated DSSAT model at a research station in the semi-arid Texas Rolling Plains region. Cross-validation during the hindcast period demonstrated strong forecast skill, with R2 values of 0.72 and 0.71 for maximum and minimum temperatures, respectively. The precipitation forecast remained sensitive to extreme events, with seasonal and annual relative errors of 31 and 1 %, respectively. Crop yield predictions had a relative error of 9 %, and irrigation water requirements closely matched field observations, outperforming both raw CanCM4 and multi-model mean methods. The downscaling method used in this study significantly improved NMME data reliability, although the degree of improvement may vary with time and location.

The presence of excessive arsenic (As) in paddy fields poses a significant risk to human health due to its accumulation in rice grains. However, the current level of As in Sri Lankan paddy fields remains unclear. Therefore, this research aims to assess the distribution of exchangeable As concentration and investigate the effects of agro-climatic zones (ACZs), soil orders and water sources on exchangeable As concentration in Sri Lankan paddy fields. For this purpose, 7,154 soil samples were collected from paddy fields using a stratified random sampling method representing six ACZs, six soil orders and three water sources. Arsenic extraction was made using 0.01 M CaCl2 followed by the detection with inductive coupled plasma mass spectrophotometry. The concentration of exchangeable As ranged from 0.01 to 392.9 µg/kg with an average of 24.6 µg/kg. Samples from the Low-country Wet zone exhibited higher exchangeable As levels compared to those from the Low country Dry zone (P < 0.05). Among soil orders, Histosols, Inceptisols and Ultisols showed higher exchangeable As concentrations than Alfisols and Vertisols (P < 0.05). Rainfed paddy fields had higher exchangeable As compared to the fields with access to supplementary irrigation. Additionally, exchangeable As concentration was inversely correlated with soil pH and paddy grain yield (P < 0.05). The observed variations in soil-As concentration across ACZs, soil orders and water sources highlight the need for climate, soil order and water source-specific strategies to mitigate further accumulation of As in paddy fields.

The study analysed corn harvested areas from 1960 to 2030, using data from the USDA open-access official dataset and 1000 autoregressive integrated moving average models. The global corn harvested area experienced a steady growth rate of 1.0 % in the 1960s, followed by a slight setback in the 1980s and a recovery in the 1990s. The early 2000s saw significant expansion, while the 2010s saw a slightly slower pace of 1.4 %. From 2020 to 2024, the global growth rate declined to 0.0 %, suggesting a potential shift towards a more stable or slower growth phase. The most likely scenario for the global corn area is an optimistic outlook with a 37 % likelihood of steady growth. China’s most likely scenario is a gradual expansion with a rate of 2.0 %. The United States’ most likely scenario suggests a neutral trend. Brazil has remarkable growth trajectories in its areas, reflecting land availability. Ukraine’s area by 2030 is projected to experience varying outcomes due to uncertainties in the agricultural landscape.

Grazing is a crucial component of dairy farms across many regions of the world. This review explores challenges related to grazing infrastructure and opportunities for future improvement. Farmers who aim to increase pasture utilisation face heightened inter-animal competition necessitated by pasture restriction to achieve target post-grazing sward heights. Increasing the frequency of fresh pasture allocation beyond once per day has been observed to reduce milk production in primiparous animals, due to intensified competition for limited feed resources. Implementing grazing paddocks tailored for 24- to 36-hour allocations helps to mitigate inter-animal competition while concurrently preventing the grazing of fresh regrowth. Crucial to this approach is establishing farm roadway infrastructure that allows access to all sections of the grazing platform. However, the development of these roadway networks has often occurred without a comprehensive assessment of their impact on the efficiency of the dairy herd’s movement between grazing paddocks and the milking parlour. The efficiency of the dairy herd’s movement is most significantly influenced by the location of the milking parlour within the grazing platform. Extreme walking distances or challenging terrain on farm roadways may have an impact on milk production per cow. Factors such as farm roadway surface quality and width significantly influence cow throughput on farm roadways. Recent studies have highlighted inadequate roadway widths on many farms relative to their herd size, while surface condition may also be limiting cow throughput on these farms. Enhancing roadway width and surface condition of farm roadways may improve labour efficiency on commercial farms.

Agricultural monoculture negatively impacts soil quality, particularly in fragile soils that yield limited crop production and are highly susceptible to degradation. Increasing plant diversity in production systems can be an alternative for maintaining soil ecosystem services and increasing crop yields. This study investigated the influence of increased plant diversity on soil health and its impact on soybean and cotton yield in an Ultisol in the Brazilian savanna in Mato Grosso State, Brazil. Tested five rates of plant diversity after soybean harvest: (1) very low (VL), (2) low, (3) average, (4) long-term average and (5) high (integrated crop–livestock systems (ICLS)) were tested. Plant diversity improves the health of sandy loam soil, increases C and N fractions in particulate organic matter (POM-C and POM-N) and leads to differences in C utilization by the soil microbial community. High ICLS diversity raises total organic carbon content, being POM-C and POM-N, the labile fractions, more efficient to show changes in sandy loam soil, in the short term, over a period of three years. High diversity promoted yield gains of up to 251 % for cotton and 82 % for soybean in relation to VL plant diversity. Changes in soil microbial composition are able to partially explain crop yield in diversified production systems (R2 ranging from 0.51 to 0.80). Diversifying production components is a sustainable way to maintain biological functions and agricultural quality of loam sandy soil in the Brazilian Cerrado in Mato Grosso.

Grazing management is an important component affecting pasture stability, but the underlying demographic mechanisms remain poorly understood in mixed-species systems. This three-year study investigated how grazing height (15 and 20 cm pre-grazing) and strategic spring defoliation (7 cm) influence stability in mixed pastures composed of complementary C3/C4 grasses (Lolium arundinaceum and Cenchrus clandestinus). Utilising demographic and tiller size/density relationship theories, we examined population dynamics to better understand pasture stability. The results indicated that height management significantly affected the demographic traits, with shorter grazing (15 cm) increasing tiller emergence and population density while reducing individual tiller weight (TW). In addition, higher tiller population density (TPD) and lower TW were observed in the shorter treatments. Despite these contrasting responses, the mixed pasture maintained consistent stability across treatments through compensatory relationships between tiller traits. The stability index remained close to 1 (0.956 ± 0.02) regardless of management, demonstrating robust demographic equilibrium. Individual species showed distinct seasonal stability patterns – L. arundinaceum dominating in winter and C. clandestinus in spring and summer – yet their complementary growth maintained year-round system stability. The self-thinning law effectively revealed stable size-density compensation across treatments, suggesting its utility for assessing mixed sward persistence. These findings demonstrate that mixed pastures can maintain demographic stability under varying grazing regimes through species complementarity and population compensatory mechanisms.