[This dataset is embargoed until June 1, 2026]. The dataset contains 323 diverse wheat accessions under two N regimes (N100 and N50) across two environments over two consecutive years, 2021-2023. All 323 genotypes were planted in two different Locations: 1) University of Agriculture, Faisalabad (31.4396° N, 73.0768° E), and 2) National Institute of Genomics and Advanced Biotechnology (NIGAB), Islamabad (33.6736° N, 73.1240° E). The experiments were laid down for two years; Yr1) Rabi-2021-22 and Yr2) Rabi-2022-23. Alpha lattice was used as an experimental design with 4 replications at location 1 and 3 replications at location 2. Treatments were applied as 100% of the recommended N dose at a rate of 120 kg ha-1 (N100) and 50% of the recommended dose at a rate of 60 kg ha-1(N50). Urea was used as N source and applied in three splits as basal dose, at stem elongation stage and at the heading stage. Standard irrigation and crop management practices were followed for all environments. The following parameters were measured: days to flowering, flag leaf area (cm2), peduncle length (cm), spike length (cm), plant height (cm), straw yield (g), grain yield (g) and thousand grain weight (g). The work was supported by the Natural Environment Research Council (Grant NE/S009019/1). Full details about this dataset can be found at https://doi.org/10.5285/7aa32225-f277-4ff6-bc73-7fe6123748cc

Data on resilience of wheat yields in England, derived from the annual Defra Cereals and Oilseeds production survey of commercial farms. The data presented here are summarised over a ten-year time-series (2008-2017) at 10km x10km grid cell (hectad) resolution. The data give the mean yield, relative yield, yield stability and resistance to an extreme event (the poor weather of 2012), for all hectads with at least one sampled farm holding in each year of the time-series (i.e. the minimum data required to calculate the resilience metrics). These metrics were calculated to explore the impact of landscape structure on yield resilience. The data also give the number of samples per year per hectad, so that sampling biases can be explored and filtering applied. No hectads are included that contain data from <9 holdings across the time series (the minimum level required by Defra to maintain anonymity is <5). The data were created under the ASSIST (Achieving Sustainable Agricultural Systems) project by staff at the UK Centre for Ecology & Hydrology to enable exploration of the impacts of agriculture on the environment and vice versa, enabling farmers and policymakers to implement better, more sustainable agricultural practices. Full details about this dataset can be found at https://doi.org/10.5285/7dbcee0c-00ca-4fb2-93cf-90f2a5ca37ea

Global spatial data on yields of wheat, sugarcane and maize at 0.25 and 0.5 degrees resolution for 2000-2014. Annual data on wheat, sugarcane and maize yield have been extracted from agricultural statistics, which are recorded annually at regional and national scale depending on the country. The yield data were spatially disaggregated to produce gridded maps (0.25 and 0.5 degrees spatial resolution) of yields per crop type. The earthstat dataset, which provides gridded data on crop distribution (i.e. a crop mask for 2000q), was used to obtain information on the spatial distribution of wheat, sugarcane and maize across the world. The spatial disaggregation process was repeated for every year between 2000 and 2014. The data were produced to constrain agro-ecosystem carbon cycling estimates used in large-scale atmospheric CO2 inversion studies and to be used as inputs in agro-ecosystem biogeochemistry models. The data are provided in netcdf4 (.nc) format. Full details about this dataset can be found at https://doi.org/10.5285/3fa5921b-244a-4944-ab90-e690dbc05a7e

This dataset contains percentage cover of plants, mean numbers of aphids, mean counts of predators and mean counts of herbivores on three crops (field bean, wheat and oilseed rape) within different grassland types (improved, restored and species rich). Data were collected in 2013 on five farms in the Salisbury Plain area of the UK as part of the Wessex Biodiversity and Ecosystem Services Sustainability (BESS) project within the UK Natural Environment Research Council (NERC) BESS programme. This data set was used to provide an assessment of the potential for different grassland types to provide natural pest control ecosystem services. The study uses sentinel plants of the three crops established in the grasslands to monitor herbivorous pest insects, predatory insect occurrence and the population growth rates of artificially established aphids. Full details about this dataset can be found at https://doi.org/10.5285/4c02ae08-5703-46f4-947e-80e5d0a34a28

Modelled annual average production loss (thousand tonnes per 1 degree by 1 degree grid cell) due to ground-level ozone pollution is presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum), for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for production loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop production losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is a step towards mitigation of the problem. The production loss calculations were done as part of the NERC funded SUNRISE project (NEC06476) and National Capability Project NC-Air quality impacts on food security, ecosystems and health (NEC05574). Full details about this dataset can be found at https://doi.org/10.5285/0aa7911a-ab5f-4b08-a225-28b1e8344d01