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* [1.1 Symbols, units, definitions](/vos/EmissionsAgriculture2023/-/wikis/1%20General%20aspects/1.1%20symbols,%20units,%20definitions)
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* [1.2 Inventory model py-gas-em](/vos/EmissionsAgriculture2023/-/wikis/1%20General%20aspects/1.2%20Inventory%20model%20py-gas-em)
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* [1.3 Quality management](/vos/EmissionsAgriculture2023/-/wikis/1%20General%20aspects/1.3%20Quality%20management)
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* [1.1 Symbols, units, definitions](1%20General%20aspects/1.1%20symbols,%20units,%20definitions)
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* [1.2 Inventory model py-gas-em](1%20General%20aspects/1.2%20Inventory%20model%20py-gas-em)
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* [1.3 Quality management](1%20General%20aspects/1.3%20Quality%20management)
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The annual emission inventory for the sector “Agriculture” is preparated with the inventory model Py-GAS-EM. Chapter [1.2](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/1%20General%20aspects/1.2%20Inventory%20model%20py-gas-em) describes the model and the underlying methodologies. The symbols, units and definitions used for the inventory preparation are presented in Chapter [1.1](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/1%20General%20aspects/1.1%20symbols,%20units,%20definitions). The emission calculations are performed separately for each source category using the respective input data. For the input data see Chapter [2](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/2%20Input%20data). More details and special features of the source categories are described in Chapters [3](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/3%20Enteric%20fermentation) to [5](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/5%20Crop%20production%20and%20agricultural%20soils). Chapter [6](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/6%20Emission%20inventory%20uncertainty) deals with the uncertainties of the emission results. The preparation of the emission inventory includes quality control and assurance, see Chapter [1.3 ](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/1%20General%20aspects/1.3%20Quality%20management).
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The annual emission inventory for the sector “Agriculture” is preparated with the inventory model Py-GAS-EM. Chapter [1.2](1%20General%20aspects/1.2%20Inventory%20model%20py-gas-em) describes the model and the underlying methodologies. The symbols, units and definitions used for the inventory preparation are presented in Chapter [1.1](1%20General%20aspects/1.1%20symbols,%20units,%20definitions). The emission calculations are performed separately for each source category using the respective input data. For the input data see Chapter [2](2%20Input%20data). More details and special features of the source categories are described in Chapters [3](3%20Enteric%20fermentation) to [5](5%20Crop%20production%20and%20agricultural%20soils). Chapter [6](6%20Emission%20inventory%20uncertainty) deals with the uncertainties of the emission results. The preparation of the emission inventory includes quality control and assurance, see Chapter [1.3 ](1%20General%20aspects/1.3%20Quality%20management).
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The subsequent sub-chapters provide an overview of the basic methodologies for the preparation of the German agricultural inventory. For the calculation of the emissions orginating from animal husbandry animal sub-categories are defined that are homogeneous with respect to animal performance (weights, growth, Milk yield, etc.), age and utilisation (fattening or breeding), see Chapter [2.2](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/2-Input-data/2.2-Formation-of-animal-subcategories). The figure below shows the concept for calculating greenhouse gas emissions from German livestock farming.
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The subsequent sub-chapters provide an overview of the basic methodologies for the preparation of the German agricultural inventory. For the calculation of the emissions orginating from animal husbandry animal sub-categories are defined that are homogeneous with respect to animal performance (weights, growth, Milk yield, etc.), age and utilisation (fattening or breeding), see Chapter [2.2](2-Input-data/2.2-Formation-of-animal-subcategories). The figure below shows the concept for calculating greenhouse gas emissions from German livestock farming.
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**Figure 1: GHG emissions from livestock husbandry (Py-GAS-EM model)** 
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For the concept of calculating ammonia emissions from German livestock farming, see Chapter [4.3.1](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/4%20Manure%20management/4.3%20Air%20pollutants%20and%20dust/4.3.1%20NH3%20from%20manure%20management).
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For the concept of calculating ammonia emissions from German livestock farming, see Chapter [4.3.1](4%20Manure%20management/4.3%20Air%20pollutants%20and%20dust/4.3.1%20NH3%20from%20manure%20management).
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Chapters [4.3](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/4%20Manure%20management/4.3%20Air%20pollutants%20and%20dust) and [4.4](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/4%20Manure%20management/4.4%20Greenhouse-gases) deal with the calculation of greenhouse gas and other emissions related to the anaerobic digestion of manure in biogas plants.
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Chapters [4.3](4%20Manure%20management/4.3%20Air%20pollutants%20and%20dust) and [4.4](4%20Manure%20management/4.4%20Greenhouse-gases) deal with the calculation of greenhouse gas and other emissions related to the anaerobic digestion of manure in biogas plants.
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The anaerobic digestion of energy crops is based in principle on the same concept as the digestion of animal manures, but is dealt with separately in Chapter [5.1](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/5%20Crop%20production%20and%20agricultural%20soils/5.1%20digestion%20of%20energy%20crops%20and%20management%20of%20the%20digestate). The detailed description of the methods for calculating emissions in connection with agricultural soils can be found in Chapter [5](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/5%20Crop%20production%20and%20agricultural%20soils). Modifications of methods with respect to previous year’s submission are shortly discussed in Chapter [1.3](https://git-dmz.thuenen.de/vos/EmissionsAgriculture2023/-/wikis/1%20General%20aspects/1.3%20Quality%20management#changes-with-respect-to-the-previous-submission). |
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The anaerobic digestion of energy crops is based in principle on the same concept as the digestion of animal manures, but is dealt with separately in Chapter [5.1](5%20Crop%20production%20and%20agricultural%20soils/5.1%20digestion%20of%20energy%20crops%20and%20management%20of%20the%20digestate). The detailed description of the methods for calculating emissions in connection with agricultural soils can be found in Chapter [5](5%20Crop%20production%20and%20agricultural%20soils). Modifications of methods with respect to previous year’s submission are shortly discussed in Chapter [1.3](1%20General%20aspects/1.3%20Quality%20management#changes-with-respect-to-the-previous-submission). |
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\ No newline at end of file |
