Beef cattle methane emissions measured with tracer-ratio and inverse dispersion modelling techniques

Abstract. The development and validation of management practices to mitigate greenhouse gas (GHG) emissions from livestock require accurate emission measurements. This study assessed the accuracy of a practical inverse dispersion modelling (IDM) technique to quantify methane (CH4) emitted from a small cattle herd (16 animals) confined to a 63 m × 60 m experimental pen. The IDM technique calculates emissions from the increase in the CH4 concentration measured downwind of the animals. The measurements were conducted for 7 d. Two types of open-path (OP) gas sensors were used to measure concentration in the IDM calculation: a Fourier transform infrared spectrometer (IDM-FTIR) or a CH4 laser (IDM-Laser). The actual cattle emission rate was measured with a tracer-ratio technique using nitrous oxide (N2O) as the tracer gas. We found very good agreement between the two IDM emission estimates (308.1 ± 2.1 – mean ± SE – and 304.4 ± 8.0 g CH4 head−1 d−1 for the IDM-FTIR and IDM-Laser respectively) and the tracer-ratio measurements (301.9 ± 1.5 g CH4 head−1 d−1). This study suggests that a practical IDM measurement approach can provide an accurate method of estimating cattle emissions.

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On-farm beef cattle methane emissions measured with tracer-ratio and inverse-dispersion modelling techniques

10.5194/amt-2020-445 ◽

2020 ◽

Author(s):

Mei Bai ◽

José I. Velazco ◽

Trevor W. Coates ◽

Frances A. Phillips ◽

Thomas K. Flesch ◽

...

Keyword(s):

Management Practices ◽

Ghg Emissions ◽

Accurate Method ◽

Tracer Gas ◽

Measure Concentration ◽

Inverse Dispersion ◽

Infrared Spectrometer ◽

Modelling Techniques ◽

Development And Validation ◽

Tracer Ratio

Abstract. The development and validation of management practices to mitigate greenhouse gas (GHG) emissions from livestock requires accurate emission measurements. This study assessed the accuracy of a practical inverse dispersion (IDM) micrometeorological technique to quantify methane (CH4) emitted from a small cattle herd (16 animals) confined to a 63 × 60 m pen. The IDM technique calculates emissions from the increase in CH4 concentration measured downwind of the animals. Two types of open-path (OP) gas sensors were used to measure concentration in the IDM calculation: a Fourier transform infrared spectrometer (IDM-FTIR) or a CH4 Laser (IDM-Laser). The actual cattle emission rate was given by a tracer-ratio technique using nitrous oxide as the tracer gas. We found very good agreement between the two IDM emission estimates (316 and 322 g CH4 head−1 d−1 for the IDM-FTIR and IDM-Laser, respectively) and the tracer-ratio measurements (315 g CH4 head−1 d−1). This study shows that a practical IDM measurement approach can provide an accurate method of estimating cattle emissions.

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Legumes increase grassland productivity with no effect on nitrous oxide emissions

Plant and Soil ◽

10.1007/s11104-019-04338-w ◽

2019 ◽

Vol 446 (1-2) ◽

pp. 163-177 ◽

Cited By ~ 3

Author(s):

Arlete S. Barneze ◽

Jeanette Whitaker ◽

Niall P. McNamara ◽

Nicholas J. Ostle

Keyword(s):

Management Practices ◽

Production Systems ◽

N Uptake ◽

Relative Proportion ◽

Management Strategies ◽

Ghg Emissions ◽

Chemical Properties ◽

Nitrous Oxide Emissions ◽

Mineral N ◽

Grassland Productivity

Abstract Aims Grasslands are important agricultural production systems, where ecosystem functioning is affected by land management practices. Grass-legume mixtures are commonly cultivated to increase grassland productivity while reducing the need for nitrogen (N) fertiliser. However, little is known about the effect of this increase in productivity on greenhouse gas (GHG) emissions in grass-legume mixtures. The aim of this study was to investigate interactions between the proportion of legumes in grass-legume mixtures and N-fertiliser addition on productivity and GHG emissions. We tested the hypotheses that an increase in the relative proportion of legumes would increase plant productivity and decrease GHG emissions, and the magnitude of these effects would be reduced by N-fertiliser addition. Methods This was tested in a controlled environment mesocosm experiment with one grass and one legume species grown in mixtures in different proportions, with or without N-fertiliser. The effects on N cycling processes were assessed by measurement of above- and below-ground biomass, shoot N uptake, soil physico-chemical properties and GHG emissions. Results Above-ground productivity and shoot N uptake were greater in legume-grass mixtures compared to grass or legume monocultures, in fertilised and unfertilised soils. However, we found no effect of legume proportion on N2O emissions, total soil N or mineral-N in fertilised or unfertilised soils. Conclusions This study shows that the inclusion of legumes in grass-legume mixtures positively affected productivity, however N cycle were in the short-term unaffected and mainly affected by nitrogen fertilisation. Legumes can be used in grassland management strategies to mitigate climate change by reducing crop demand for N-fertilisers.

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Development of rapid and highly accurate method to measure concentration of fibers in atmosphere using artificial intelligence and scanning electron microscopy

Journal of Occupational Health ◽

10.1002/1348-9585.12238 ◽

2021 ◽

Vol 63 (1) ◽

Author(s):

Yukiko Iida ◽

Kenji Watanabe ◽

Yusuke Ominami ◽

Toshiyuki Toyoguchi ◽

Takehiko Murayama ◽

...

Keyword(s):

Artificial Intelligence ◽

Electron Microscopy ◽

Scanning Electron Microscopy ◽

Accurate Method ◽

Measure Concentration ◽

Scanning Electron

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Evaluation of a Novel Poultry Litter Amendment on Greenhouse Gas Emissions

Atmosphere ◽

10.3390/atmos12050563 ◽

2021 ◽

Vol 12 (5) ◽

pp. 563

Author(s):

Kelsey Anderson ◽

Philip A. Moore ◽

Jerry Martin ◽

Amanda J. Ashworth

Keyword(s):

Air Quality ◽

Greenhouse Gas ◽

Co2 Emissions ◽

Management Practices ◽

Block Design ◽

Poultry Litter ◽

Ghg Emissions ◽

Nitrous Oxide Emissions ◽

Gaseous Emissions ◽

Poultry Facilities

Gaseous emissions from poultry litter causes production problems for producers as well as the environment, by contributing to climate change and reducing air quality. Novel methods of reducing ammonia (NH3) and greenhouse gas (GHG) emissions in poultry facilities are needed. As such, our research evaluated GHG emissions over a 42 d period. Three separate flocks of 1000 broilers were used for this study. The first flock was used only to produce litter needed for the experiment. The second and third flocks were allocated to 20 pens in a randomized block design with four replicated of five treatments. The management practices studied included an unamended control; a conventional practice of incorporating aluminum sulfate (referred to as alum) at 98 kg/100 m2); a novel litter amendment made from alum mud, bauxite, and sulfuric acid (alum mud litter amendment, AMLA) applied at different rates (49 and 98 kg/100 m2) and methods (surface applied or incorporated). Nitrous oxide emissions were low for all treatments in flocks 2 and 3 (0.40 and 0.37 mg m2 hr−1, respectively). The formation of caked litter (due to excessive moisture) during day 35 and 42 caused high variability in CH4 and CO2 emissions. Alum mud litter amendment and alum did not significantly affect GHGs emissions from litter, regardless of the amendment rate or application method. In fact, litter amendments such as alum and AMLA typically lower GHG emissions from poultry facilities by reducing ventilation requirements to maintain air quality in cooler months due to lower NH3 levels, resulting in less propane use and concomitant reductions in CO2 emissions.

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FORCED INDICATING UPLC-DAD METHOD DEVELOPMENT AND VALIDATION FOR ESTIMATION OF APALUTAMIDE IN BULK AND IN PHARMACEUTICAL DOSAGE FORM

INDIAN DRUGS ◽

10.53879/id.58.09.11795 ◽

2021 ◽

Vol 58 (09) ◽

pp. 73-75

Author(s):

China Babu D ◽

Madhusudhana Chetty C ◽

Mastanamma S. K ◽

Keyword(s):

Mobile Phase ◽

Dosage Form ◽

Method Development ◽

Limit Of Detection ◽

Uv Light ◽

Accurate Method ◽

Pharmaceutical Dosage Form ◽

Good Ability ◽

Acquity Uplc ◽

Development And Validation

A new analytical method was developed for the estimation of apalutamide in bulk and its pharmaceutical formulation. The sensitive, précise and accurate method was developed by using Waters Acquity UPLC system equipped with quaternary gradient pump. The column used was Waters C18 150 X 2.1 mm X 1.7 µm and mobile phase was 0.2 % OPA buffer in water : acetonitrile in the ratio of 25:75 V/V. The buffer pH was maintained at 4.5. The fl ow rate of mobile phase was 0.5 mL min-1 and detection was at 272 nm by using PDA detector. The method was performed at ambient temperature. The retention time of the apalutamide was 1.27 min. The % RSD value in precision was >2 %. The accuracy of the method was found to be between 99.54 % - 100.01 %. The limit of detection and limit of quantifi cation values were found to be 0.14 µg mL-1 and 0.48 µg mL-1, respectively. The linearity concentration range was found to be 11.25 - 67.5 µg mL-1, it show wide linearity concentration range. The method was proved to have good robustness after changing parameters of fl ow rate, temperature and mobile phase composition. The method showed good ability towards different stress conditions of acidity, alkalinity, peroxide and UV-light. The method can be used for the routine analysis of apalutamide in bulk and its pharmaceutical dosage form by using UPLC.

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Potential soil carbon sequestration of agricultural land around the world

10.5194/egusphere-egu21-3083 ◽

2021 ◽

Author(s):

Sylvia Vetter ◽

Michael Martin ◽

Pete Smith

Keyword(s):

Organic Carbon ◽

Management Practices ◽

Agricultural Land ◽

Ghg Emissions ◽

C Sequestration ◽

Organic Soils ◽

Soil C ◽

Sequestration Potential ◽

The World ◽

Soil C Sequestration

Reducing greenhouse gas (GHG) emissions in to the atmosphere to limit global warming is the big challenge of the coming decades. The focus lies on negative emission technologies to remove GHGs from the atmosphere from different sectors. Agriculture produces around a quarter of all the anthropogenic GHGs globally (including land use change and afforestation). Reducing these net emissions can be achieved through techniques that increase the soil organic carbon (SOC) stocks. These techniques include improved management practices in agriculture and grassland systems, which increase the organic carbon (C) input or reduce soil disturbances. The C sequestration potential differs among soils depending on climate, soil properties and management, with the highest potential for poor soils (SOC stock farthest from saturation).Modelling can be used to estimate the technical potential to sequester C of agricultural land under different mitigation practices for the next decades under different climate scenarios. The ECOSSE model was developed to simulate soil C dynamics and GHG emissions in mineral and organic soils. A spatial version of the model (GlobalECOSSE) was adapted to simulate agricultural soils around the world to calculate the SOC change under changing management and climate.Practices like different tillage management, crop rotations and residue incorporation showed regional differences and the importance of adapting mitigation practices under an increased changing climate. A fast adoption of practices that increase SOC has its own challenges, as the potential to sequester C is high until the soil reached a new C equilibrium. Therefore, the potential to use soil C sequestration to reduce overall GHG emissions is limited. The results showed a high potential to sequester C until 2050 but much lower rates in the second half of the century, highlighting the importance of using soil C sequestration in the coming decades to reach net zero by 2050.

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Soil respiration under different agricultural land use types in Croatia

10.5194/egusphere-egu21-15734 ◽

2021 ◽

Author(s):

Darija Bilandžija ◽

Marija Galić ◽

Željka Zgorelec

Keyword(s):

Climate Change ◽

Land Use ◽

Soil Respiration ◽

Management Practices ◽

Agricultural Land ◽

Ghg Emissions ◽

Paris Agreement ◽

Energy Crop ◽

Climate Conditions ◽

Uncertainty Estimates

In order to mitigate climate change and reduce the anthropogenic greenhouse gas (GHG) emissions, the Kyoto protocol has been adopted in 1997 and the Paris Agreement entered into force in 2016. The Paris Agreement have ratified 190 out of 197 Parties of the United Nations Framework Convention on Climate Change (UNFCCC) and Croatia is one of them as well. Each Party has obliged regularly to submit the national inventory report (NIR) providing the information on the national anthropogenic GHG emissions by sources and removals by sinks to the UNFCCC. Reporting under the NIR is divided into six categories / sectors, and one of them is land use, land use change and forestry (LULUCF) sector, where an issue of uncertainty estimates on carbon emissions and removals occurs. As soil respiration represents the second-largest terrestrial carbon flux, the national studies on soil respiration can reduce the uncertainty and improve the estimation of country-level carbon fluxes. Due to the omission of national data, the members of the University of Zagreb Faculty of Agriculture, Department of General Agronomy have started to study soil respiration rates in 2012, and since then many different studies on soil respiration under different agricultural land uses (i.e. annual crops, energy crop and vineyard), management practices (i.e. tillage and fertilization) and climate conditions (i.e. continental and mediterranean) in Croatia have been conducted. The obtained site specific results on field measurements of soil carbon dioxide concentrations by in situ closed static chamber method will be presented in this paper.

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Proximal sensing for soil carbon accounting

10.5194/soil-2017-36 ◽

2018 ◽

Author(s):

Jacqueline R. England ◽

Raphael Armando Viscarra Rossel

Keyword(s):

Bulk Density ◽

Financial Incentives ◽

Management Practices ◽

Ghg Emissions ◽

Carbon Accounting ◽

Soil Organic C ◽

Proximal Sensing ◽

Organic C ◽

Soil C ◽

Cost Efficient

Abstract. Maintaining or increasing soil organic carbon (C) is important for securing food production, and for mitigating greenhouse gas (GHG) emissions, climate change and land degradation. Some land management practices in cropping, grazing, horticultural and mixed farming systems can be used to increase organic C in soil, but to assess their effectiveness, we need accurate and cost-efficient methods for measuring and monitoring the change. To determine the stock of organic C in soil, one needs measurements of soil organic C concentration, bulk density and gravel content, but using conventional laboratory-based analytical methods is expensive. Our aim here is to review the current state of proximal sensing for the development of new soil C accounting methods for emissions reporting and in emissions reduction schemes. We evaluated sensing techniques in terms of their rapidity, cost, accuracy, safety, readiness and their state of development. The most suitable technique for measuring soil organic C concentrations appears to be vis–NIR spectroscopy and for bulk density active gamma-ray attenuation. Sensors for measuring gravel have not been developed, but an interim solution with rapid wet-sieving and automated measurement appears useful. Field-deployable, multi-sensor systems are needed for cost-efficient soil C accounting. Proximal sensing can be used for soil organic C accounting, but the methods need to be standardised and procedural guidelines need to be developed to ensure proficient measurement and accurate reporting and verification. This is particularly important if the schemes use financial incentives for landholders to adopt management practices to sequester soil organic C. We list and discuss the requirements for the development of new soil C accounting methods that are based on proximal sensing, including requirements for recording, verification and auditing.

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Current issues and controversies in assessing the environmental impacts of livestock production.

CAB Reviews Perspectives in Agriculture Veterinary Science Nutrition and Natural Resources ◽

10.1079/pavsnnr202116044 ◽

2021 ◽

Vol 16 (044) ◽

Author(s):

Judith L. Capper

Keyword(s):

Environmental Impacts ◽

Resource Use ◽

Management Practices ◽

Ghg Emissions ◽

Livestock Production ◽

Environmental Indicators ◽

Environment Impact ◽

Trade Offs ◽

Specific Practice ◽

Over Time

Abstract The environment impact of livestock production is one of the most significant issues within agriculture. Global concerns over climate change, resource use, pollution and other environment indicators means that producers must implement practices and systems to reduce environmental impacts, yet this may only be achieved through assessments that allow impacts to be quantified, benchmarked and improved over time. Although environmental indicators are widely accepted, the metrics by which these are assessed continue to evolve over time as assessment objectives gain clarity and focus, and as the science relating to controversial topics (e.g. global warming or carbon sequestration) becomes more refined. however, significant negative trade-offs may occur between different metrics and denominators such that a specific practice or system may appear to have greater or lesser impacts, depending on assessment methodology. A number of tools and models have been developed to empower producers in quantifying environmental impacts, which will be increasingly important is satisfying future consumers' hunger for information as well as food. These tools must be supplied in tandem with information as to the potential consequences of changing management practices and systems. At present however, tools available are based on differing methodologies, are often opaque in their background calculations and do not necessarily account for all the factors that influence environmental impacts from livestock. There is a clear need for robust tools that can be used as standards for assessing environmental impacts from the global livestock industry and that go beyond GHG emissions to produce a more rounded holistic assessment.

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