Keyword

fertiliser

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  • The data consists of potential activity of enzymes released by microorganisms in soils of old growth forests in the Central Amazon. Soils were sampled in January 2018, seven months after nutrient addition in a large-scale nutrient fertilisation experiment. Enzyme activities are given as a mean of the microbial community per plot, where five points inside each plot were sampled in the 0-5 cm and 5-10 cm soil layers. The dataset depicts the potential activities of the following enzymes: ß-glucosidase, N-acetyl ß-glucosaminidase and phosphomonoesterase at two different soil depths. Samples were collected at the AFEX project area in Manaus, Brazil at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA). The study was funded by NERC, BDFFP (logistical support) and Brazilian government (student scholarship). Full details about this dataset can be found at https://doi.org/10.5285/b9a2523e-09ba-43c7-acfa-a894a231b133

  • The data consist of soil physicochemical and biological data for three soil depths (0-15, 15-30 and 30-60 cm) from a three-cut silage plot trial located at three grassland sites within the UK collected between April 2016 and October 2016. The sites were Rothamsted Research at North Wyke in Devon, Bangor University at Henfaes Research Station in North Wales, and Easter Bush in Scotland. At each site measurements were taken from sixteen plots, organised within a randomised complete block design: four (control) plots did not receive fertilizer, four plots received urea only, four plots received urea and urea-inhibitors, and four plots received ammonium-nitrate (Nitram). Fertiliser was applied three times and three cuts were performed. All parameters were measured following fertiliser application. Samples were taken before fertilizer additions at peak growth and before the last silage cut. Soil physical parameters were: aggregate size distribution, aggregate stability, texture (sand/silt/clay) and soil moisture. Soil chemical parameters were: soil nitrate and ammonium, dissolved organic carbon and nitrogen, amino acids and peptides, soil organic matter content as loss-on-ignition, pH, sodium, potassium, calcium, magnesium, permanganate oxdisable carbon, citric acid extractable phosphorous, Olsen-P and total carbon, nitrogen and phosphorus. Soil biological measures were: microbial biomass, carbon and nitrogen. Microbial community composition and nitrogen genes were measured on the same soil samples and are presented in a separate dataset (https://doi.org/10.5285/59f81d41-a789-4c5c-8ab8-36baa7ac2c55) Measurements were undertaken by members of staff from the Centre of Ecology & Hydrology (Bangor, Edinburgh, Lancaster, Wallingford), Bangor University, School of Environment, Natural Resources & Geography and Rothamsted Research, Sustainable Agricultural Sciences, North Wyke. Data was collected for the Newton Fund project "UK-China Virtual Joint Centre for Improved Nitrogen Agronomy". Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/7a87dde4-b54e-49b0-8751-1d59e8aebb90

  • The data consist of nitrogen gene data, soil biodiversity indices and microbial community composition for three soil depths (0-15, 15-30 and 30-60 cm) from a winter wheat field experiment located in the United Kingdom and collected between April 2017 and August 2017. The sites were Rothamsted Research at North Wyke in Devon and Bangor University at Henfaes Research Station in North Wales. At each site measurements were taken from 15 plots, organised within a randomised complete block design where 5 plots did not receive fertilizers (controls), 5 plots received food-based digestate, and 5 plots received acidified food based digestate a nitrification inhibitor. Soil samples were taken within two weeks of digestate application and shortly before winter wheat harvest. Soil chemical parameters were: soil nitrate, ammonium, dissolved organic carbon and nitrogen, amino acids and peptides, soil organic matter content as loss-on-ignition, pH, sodium, potassium, calcium, magnesium, permanganate oxdisable carbon citric acid extractable phosphorous, Olsen-P and total carbon, nitrogen and phosphorus. Soil biological measure were: microbial biomass carbon and nitrogen. Soil samples were taken by members of staff from Centre of Ecology & Hydrology (Bangor), Bangor University, School of Environment, Natural Resources & Geography Sustainable Agricultural Sciences, and Rothamsted Research North Wyke. Measurements were carried out Rothamsted Research Harpenden and the Centre of Ecology & Hydrology (Wallingford). Soil physico-chemical parameters were measured on the same soil samples and are presented in a related dataset. https://catalogue.ceh.ac.uk/id/90df9dfa-a0c8-4ead-a13d-0a0a13cda7ab Data was collected for the Newton Fund project “UK-China Virtual Joint Centre for Improved Nitrogen Agronomy”. Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/391c0294-07f1-4856-b592-428bd44055ca

  • This dataset comprises 259 smallholder agricultural field surveys collected from twenty-six villages across three Districts in Mozambique, Africa. Surveys were conducted in ten fields in each of six villages in Mabalane District, Gaza Province, ten villages in Marrupa District, Niassa Province, and ten villages in Gurue District, Zambezia Province. Data were collected in Mabalane between May-Sep 2014, Marrupa between May-Aug 2015, and Gurue between Sep-Dec 2015. Fields were selected based on their age, location, and status as an active field at the time of the survey (i.e. no fallow fields were sampled). Structured interviews using questionnaires were conducted with each farmer to obtain information about current management practices (e.g. use of inputs, tilling, fire and residue management), age of the field, crops planted, crop yields, fallow cycles, floods, erosion and other problems such as crop pests and wild animals. The survey also includes qualitative observations about the fields at the time of the interview, including standing live trees and cropping systems. This dataset was collected as part of the Ecosystem Services for Poverty Alleviation (ESPA) funded ACES project , which aims to understand how changing land use impacts on ecosystem services and human wellbeing of the rural poor in Mozambique. Full details about this dataset can be found at https://doi.org/10.5285/78c5dcee-61c1-44be-9c47-8e9e2d03cb63

  • The data consists of nitrogen (N) offtake, N emissions and soil N parameters, and herbage quality parameters from a three-cut silage plot trial located at two grassland sites within the UK collected between April and October 2016. The sites were Rothamsted Research at North Wyke in Devon and Bangor University at Henfaes Research Station in North Wales. At each site measurements were taken from 16 plots, organised within a randomised complete block design. Fertiliser was applied three times and three cuts were performed, all parameters measured were following a fertiliser application. Nitrogen parameters measured were crude protein (CP) of herbage, ammonia (NH3) emissions, nitrous oxide (N2O) emissions, and soil ammonium (NH4) and nitrate (NO3). Herbage quality parameters measured were dry matter, acid-digestible fibre (ADF), ash, CP, metabolizable energy (ME), and non-digestible fibre (NDF) and digestibility (D) was calculated. Nitrogen offtake, losses and fluxes were measured to determine the N use efficiency and the economic viability of different N fertilisers. Measurements were undertaken by members of staff from Bangor University, School of Environment, Natural Resources & Geography and Rothamsted Research, Sustainable Agricultural Sciences – North Wyke. Data was collected for the Newton Fund project "UK-China Virtual Joint Centre for Improved Nitrogen Agronomy". Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/4c7d4b3c-88f7-43ab-a50f-b6804474e568

  • The data contains nitrogen (N) offtake, N emissions (ammonia and nitrous oxide), soil parameters (pH, EC, NH4+, NO3−), biomass and grain production from a winter wheat field experiment located at Bangor University (Henfaes Research Station in North Wales) and Rothamsted Research (North Wyke (NW) in Devon). Data were collected between April 2017 and August 2017. Measurements and soil and plant samples were taken from 45 plots in a randomized complete block design. Sixteen extra mini-plots at the prevailing wind (south westerly) edge of the experiment site were used at NW for NH3 volatilization measurements. The treatments were control (C, without N application), food based digestate (D), food based digestate + the nitrification inhibitor 3,4-dimethylpyrazole (DMPP; D+NI), acidified food based digestate (AD), acidified food based digestate + the nitrification inhibitor 3,4-dimethylpyrazole (DMPP; AD+NI). Four rates of ammonium nitrate (NH4NO3; 75, 150, 225 and 300 kg N ha−1) were applied to compare yields and fertilizer replacement rate of the digestate treatments (targeted at 190 kg N ha−1). Soil pH, soil electrical conductivity (EC), soil NH4+ and soil NO3−, NH3 volatilization, N2O emissions were measured periodically for C, D, D+NI, AD and AD+NI and nitrogen concentration in grain and straw, grain yield and plant biomass for all treatments. Nitrogen offtake, losses and fluxes were used to determine the N use efficiency (NUE) and fertilizer replacement rate of the digestate treatments. Measurements were undertaken by members of staff from Bangor University, School of Environment, Natural Resources & Geography and Rothamsted Research, Sustainable Agricultural Sciences – North Wyke. Data was collected for the Newton Fund project “UK-China Virtual Joint Centre for Improved Nitrogen Agronomy”. Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/836dfb2e-bc6f-47d2-b924-8261be671391

  • The dataset contains the chemical compositional changes occurred in anaerobic digestate, with and without biomass ash, simulating storage conditions during 128 days. Additionally, Sulphuric Acid (H2SO4) was added to these materials to test the effectivity on preventing nitrogen loss via acidification. Experiments were carried out in the laboratory during 2016, being measured via a combination of internal and external laboratories. The dataset provides data on chemical changes, namely: dry solids, pH, Kjeldahl nitrogen and total sulphur. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e91e8c28-0176-4c5b-9b20-611eb505ab39

  • The dataset contains the chemical composition of anaerobic digestates derived from source-segregated food waste & agro-waste, with and without biomass ash, after the addition commercial polymer to enhance dewaterability. A preliminary experiment was carried to determine the type of polymer and its optimum dose (WP1A1). Then, polymer was added to digestate and digestate/ash blends, let react for short-time and physically separated into their fiber and liquid fractions (WP1A2). These experiments were carried out in the laboratory during 2016, being measured via a combination of internal and external laboratories. Preliminary experiment (WP1A1) contains data on polymer type, dose and mass added as well as supernatant and solids separated. Main experiment contain data on masses (dry & total solids), supernatant volume, pH and plant macro-nutrients profile (total concentration of Ca, Mg, P, K, TKN and S). Full details about this dataset can be found at https://doi.org/10.5285/2977fc7b-f83e-4696-b06b-2f589ffa6965

  • This dataset contains rice crop biomass, and greenhouse gas flux measurements from five plots exposed to different fertiliser treatments and continuous and intermittent irrigation protocols. The gas flux data include methane, nitrous oxide, and ammonia, which were measured using chamber methodologies. The dataset also includes irrigation protocols and site environmental properties such as soil pH, bulk density, and texture. Agronomic yields are reported in terms of rice grain and total crop harvests as well as total nitrogen use efficiency. This dataset was created as part of an experiment carried out in rice paddies at the Indian Agricultural Research Institute (Delhi, India) in 2016. The experiment aimed to compare the environmental impacts of continuous and intermittent flooding of rice in relation to methane, nitrous oxide and ammonia emissions and the implications for nitrogen use efficiency and yield. Full details about this dataset can be found at https://doi.org/10.5285/46aafc00-6742-41df-b8be-09a8d5d86610

  • The data nitrogen gene data, soil biodiversity indices and microbial community composition, for three soil depths (0-15, 15-30 and 30-60 cm) from a three-cut silage plot trial located at three grassland sites within the UK collected between April 2016 and October 2016. The sites were Rothamsted Research at North Wyke in Devon, Bangor University at Henfaes Research Station in North Wales and Easter Bush in Scotland. At each site measurements were taken from 16 plots, organised within a randomised complete block design where 4 plots did not receive fertilizers (controls), 4 plots received urea only, 4 plots received urea and urea-inhibitors, and 4 plots received ammonium-nitrate (Nitram). Fertiliser was applied three times and three cuts were performed, all parameters measured were following a fertiliser application. Samples were taken before the fertilizer additions, at peak growth and before the last silage cut. Soil chemical parameters were: soil nitrate, ammonium, dissolved organic carbon and nitrogen, amino acids and peptides, soil organic matter content as loss-on-ignition, pH, sodium, potassium, calcium, magnesium, permanganate oxdisable carbon citric acid extractable phosphorous, Olsen-P and total carbon, nitrogen and phosphorus. Soil biological measure were: microbial biomass carbon and nitrogen. Soil physico-chemical parameters were measured on the same samples and are available in a related dataset measured on the same soil samples and are presented in a separate dataset in the project data series (https://catalogue.ceh.ac.uk/id/7a87dde4-b54e-49b0-8751-1d59e8aebb90). Measurements were undertaken by members of staff from the Centre of Ecology & Hydrology (Bangor, Edinburgh, Lancaster, Wallingford), Bangor University, School of Environment, Natural Resources & Geography and Rothamsted Research, Sustainable Agricultural Sciences, North Wyke. Data was collected for the Newton Fund project "UK-China Virtual Joint Centre for Improved Nitrogen Agronomy". Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/59f81d41-a789-4c5c-8ab8-36baa7ac2c55