Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/7254
Título: Tree-based intercropping: a land use for greenhouse gas mitigation in canadian agricultural systems
Autor: Thevathasan, N.V.
Gordon, A.M.
Wotherspoon, A.
Graungaard, K.
Dunfield, K.
Palavras-chave: intercropping
greenhouse gas mitigation
Data: Jun-2014
Editora: EURAF
Resumo: In tree-based intercropping (TBI) systems, the potential influence of trees in relation to carbon (C ) sequestration and Greenhouse Gas (GHG) emissions reduction has been documented but the mechanisms, remain poorly understood, especially for below-ground processes. Recently, several studies in this area were undertaken in Ontario, Canada under the auspices of Canada’s involvement in the Global Research Alliance. C sequestration potential, nitrous oxide reduction potential and soil voids were quantified in a 25-year-old TBI system in southern Ontario for five tree species: hybrid poplar (Populus spp.), Norway spruce (Picae abies), red oak (Quercus rubra), black walnut (Juglans nigra), and white cedar (Thuja occidentalis) which were intercropped with soybean (Glycine max). Results were compared with a conventional agricultural system in which soybean was grown as the sole crop. The net C flux for poplar, spruce, oak, walnut, cedar and the soybean sole-crop were + 2.1, + 1.6, + 0.8, + 1.8, +1.4 and – 1.2 t C ha-1, y-1, respectively. The results suggest a greater atmospheric CO2 sequestration potential for all five tree species when compared to a conventional agricultural system. DNA was also extracted from soil cores collected around four of the tree species (walnut, red oak, Norway spruce, poplar) and used for quantitative real-time PCR to determine the abundance of key functional genes in the nitrification and denitrification pathways. Results indicate that both tree species and proximity to the tree, can influence the abundance of key microbial groups associated with N2O production, particularly organisms associated with denitrification, nosZ and nirS. Soil void analysis showed that there was a positive correlation between x-ray bulk radio-density and soil bulk density, and a negative correlation between mean intra-aggregate x-ray radio-density and soil organic carbon (rs=-0.48, p=0.033), suggesting that the X-ray CT method could therefore be used to predict these soil properties.
Descrição: Poster
URI: http://hdl.handle.net/10400.5/7254
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