Procédé : Thé (feuilles) UE (2025)
Nom technique : Tea, dried {RoW}| tea production, dried | Cut-off, U - Adapted from Ecoinvent U
Localisation : RoW
Catégories : food
Unité : kg
Source : Agribalyse 3.2
Coût environnemental (points d'impact) : 1863.3
AGRIBALYSE v3.2 dataset, 2024.
original ecoinvent name: Tea, dried {RoW}| tea production, dried | Cut-off, U

This dataset is a weighted average of the regional datasets, with weights based on production volume of the reference product.  Detailed comments and sources about the exchanges can be found in the regional datasets.

The geographicalCorrelation score of every pedigree matrix of was changed to '5'.

Sum of regional production volumes: 2.257e+9 kg

CN: PV = 1.572e+9 kg; weight = 0.6966

KE: PV = 3.651e+8 kg; weight = 0.1618

LK: PV = 3.197e+8 kg; weight = 0.1417

Yield of the global dataset = 1440.4 kg/ha, calculated as a weighted average of the regional Yield_s.

The comments below were part of the CN regional dataset.

This dataset represents the production of 1 kg of tea. The average Yield_ from 2009 - 2012 is 1.1 t/ha. The data are representative for tea production in China used for the export market. Mineral NPK fertiliser input is 35-10-10 kg/ha. No organic fertilisers are applied. Total active ingredients (a.i.) applied as pesticides amount to 10.63 kg a.i./ha.

The dataset was modelled within the project 'World Food LCA database (WFLDB)'. The aim of this project was to provide inventories of a broad variety of agricultural products and processes and to cover for each product at least 50% of the global export market. The export share of tea produced in China amounts to 15% of the global export (tonnage exported in 2010). The production system regarded in this dataset aimed at representing tea produced in China for the export market.

PEF-Quality: data quality rating (DQR) = 3.2 (i.e. fair quality). This dataset refers to an average situation; for specific situations exchanges might differ substantially due to site specific parameters

Production volume: 1436769536 kg
Included activities start: This activity starts with the nursery producing tree seedlings, i.e. grafted young trees to be planted.
Included activities end: This activity ends with the waste treatment after the clearing of the orchard (rooting up the trees). The dataset includes all activities of a year in a year in the productive phase of the orchard including the establishment phase per year of lifetime (20 years), and the clearing of the orchard including waste treatment. 
The establishment phase of the orchard includes tree nursery, soil cultivation, planting trees, sowing grass, installation of trellis system (posts and wires) and irrigation. Fertiliser and pesticide use in a year of the establishment phase is assumed to be half of the amount of a year in the productive phase.
The productive phase of the orchard includes machine operations, corresponding infrastructure, fuel use and sheds. Machine operations in the productive phase are: fertiliser and pesticide application, and irrigation. Further, direct field emissions and land use change are included. At the end of the productive phase the orchard is cleared by rooting up the trees.
   Heavy metal uptake by the crop is considered.
The inputs of seedlings, fertilisers and pesticides as well as packaging of fertilisers and pesticides are considered. 
Statistical data from FAO used to assess land use change is incomplete for China. The original land use of 40.9% of annual cropland and 100% of perennial cropland transformed in the last 20 years is unknown. Land use change impacts may therefore be underestimated.
Energy values: Undefined
Geography: The inventory is modelled for Rest-of-World
Technology level: Current
Technology: 
Start date: 01/01/2009
End date: 31/12/2022
Is data valid for entire period: True
Time period: 
Macro-economic scenario name: Business-as-Usual

Version: 9.3.0.0
Created: 5/30/2016 11:12:22 AM
Last edited: 6/23/2016 1:45:52 PM
Source: 006744b2-04db-53aa-b425-7b2466dabd96_1942f3d1-fad9-43da-a657-d5920c804cd6.spold
UUID: 006744b2-04db-53aa-b425-7b2466dabd96