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Data set: canola grain production | no tillage | Cutoff, U - BR -South (03.07.098)

Full name
canola grain production | no tillage | Cutoff, U - BR -South
Location
BR-Southern grid
Reference year
2019
Valid until
2020
Reference flow(s)
Type
Unit process, black box
Parameterized?
no
LCIA results included?
no
Category
A:Agriculture, forestry and fishing / 01:Crop and animal production, hunting and related service activities / 011:Growing of non-perennial crops / 0111:Growing of cereals (except rice), leguminous crops and oil seeds
Synonyms
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Data set use approval
General comment
This dataset represents the production of 1 kg of canola grain in average with 16% moisture content, produced in the South region of Brazil, mainly Rio Grande do Sul and Paraná states. Accoding to Conab (2021), this region is reponsable for all the canola grain produced in Brazil. The average annual yield conidered for the calculations is 1371 kg/ha (CONAB, 2019). This activity represents the production of canola grain in a no tillage and non-irrigated cropping system, as a second crop, mainly after soybean. Land occupation and liming are shared with the previous main crop, and related to the period of time that canola use the land for production. The total amount of mineral fertilizers (N-P-K) and pesticides pesticides applied are in accodance to a regional survey by De Mori et al. (2019) and Masaro Junior et al. (2019). The dataset includes lime an gypisum, mineral fertilisers, and pesticides inputs. Agricultural operations are also included: limestone and gypsum application, by spreader; application of plant protection product, by field sprayer; planting with starter fertiliser, by no till planter; fertilising, by broadcaster; and combine harvesting. Direct field emissions of greenhouse gas and heavy metals, among other emissions are included, considering for the calculations the following references: Canals, (2003); IPCC, (2006); Nemecek and Schnetzer, (2012), Nemecek et al., (2015). The activity ends after harvest at the farm gate. Main references as follow: COMPANHIA NACIONAL DE ABASTECIMENTO – CONAB. Acompanhamento da safra brasileira grãos, v. 7 – safra 2019/20 – Primeiro levantamento, Brasília, 2019. Disponível em: https://www.conab.gov.br/info-agro/safras/graos. Acesso em: 10 out. 2019 DE MORI, C.; FERREIRA, P. E. P.; MARSARO JUNIOR, A. L.; TOMM, G. O.; COSTAMILAN, L. M.; VARGAS, L.; SILVA, F. A. N.; PEREIRA, P. R. V. da S. Levantamento de tecnologias empregadas no cultivo de canola pelos produtores do Rio Grande do Sul, Paraná e Minas Gerais. Passo Fundo: Embrapa Trigo, 2019. 56 p. (Embrapa Trigo. Documentos online, 181). Disponível em: https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205197/1/ID44766-2019DO181.pdf . Acesso em: 14 out. 2019. FOLEGATTI-MATSUURA, M. I. S.; PICOLI, J. F. Life Cycle Inventories of Agriculture, Forestry and Animal Husbandry – Brazil. 2018. Zürich, Switzerland: p. 1-143. MARSARO JUNIOR, A. L.; DE MORI, C.; FERREIRA, P. E. P.; TOMM, G. O.; PICANÇO, M. C.; PEREIRA, P. R. V. da S. Caracterização do manejo de insetos-praga da canola adotado por produtores no Rio Grande do Sul e no Paraná. Passo Fundo, RS: Embrapa Trigo, 2019. (Embrapa Trigo. Documentos, 182) Disponível em: https://www.infoteca.cnptia.embrapa.br/infoteca/bitstream/doc/1120082/1/Doc182Albertocompletojun19.pdf. Acesso em: 14 out. 2019. CANALS, L. M. Contributions to LCA methodology for agricultural systems: site dependency and soil degradation impact assessment. 2003. Tese (Doutorado) - Unitat de Química Física, Departament de Química, Universitat Autònoma de Barcelona, Barcelona, Espanha, 2003. CASTRO, A. M. C.; BOARETTO, A. E. Teores e acúmulo de nutrientes em função da população de plantas de canola. Scientia Agraria, Volume 5:1-2, 2004, p. 95-101. NEMECEK, T., BENGOA, X., LANSCHE J., MOURON, P., RIEDENER, E., ROSSI, V., HUMBERT, S. Methodological Guidelines for the Life Cycle Inventory of Agricultural Products. Version 3.0, World Food LCA Database (WFLDB), Quantis and Agroscope, Lausanne and Zurich, Switzerland, 2015.  
LCI Method Principle
Other
LCI Method Approaches
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Completeness of product model
No statement
Reviews
  • Not reviewed by
License and access conditions
Copyright
no
Owner of data set
Technical purpose
Input Products
No records found.
Co-Products
No records found.
Data set version
03.07.098
Time stamp (last saved)
2021-12-13T17:35:00.997-02:00
Data set format
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