stal – Traduction – Dictionnaire Keybot

Spacer TTN Translation Network TTN TTN Login Deutsch English Spacer Help
Langues sources Langues cibles
Keybot 138 Résultats  www5.agr.gc.ca
  Desjardins, Raymond, Ph...  
Mise au point d'un indicateur agroenvironnemental de GES
Development of an agroenvironmental indicator for GHGs
  Le processus de demande...  
développer des connaissances ou des produits d’information pour faire progresser les technologies de réduction des GES;
Development of knowledge and information products to advance GHG mitigation technologies; and
  Le processus de demande...  
projets de recherche scientifique et de recherche appliquée pour acquérir de nouvelles connaissances sur la réduction des GES provenant de l’agriculture;
Scientific and applied research to develop new knowledge on GHG mitigation for agriculture;
  Le processus de demande...  
Promouvoir le transfert de technologies et l'adoption de PGB et de technologies de réduction des GES par les agriculteurs.
Technology transfer and the adoption of GHG mitigation BMPs and technologies by farmers.
  Programme de lutte cont...  
Le Programme de lutte contre les gaz à effet de serre en agriculture (PLGESA) fournira aux agriculteurs canadiens les technologies pour la gestion de leurs terres et de leur bétail afin d’atténuer les émissions de gaz à effet de serre (GES).
The Agricultural Greenhouse Gases Program (AGGP) will provide Canadian farmers with technologies to manage their land and livestock in a way that will mitigate greenhouse gas (GHG) emissions.
  Le processus de demande...  
Systèmes d’élevage : La priorité sera accordée aux activités qui permettent de réduire les émissions de gaz à effet de serre (GES), comme l'usage du fumier, le pâturage et les stratégies d'alimentation.
Livestock Systems: The focus will be on activities that reduce greenhouse gas (GHG) emissions and may include manure management, as well as grazing and feeding strategies.
  Le processus de demande...  
Efficacité de l’utilisation de l’eau en agriculture : Les projets du PLGESA doivent mettre l’accent sur la quantification des émissions de GES et l’amélioration du stockage du carbone grâce à de meilleures pratiques d’irrigation et de drainage.
Agricultural Water Use Efficiency: AGGP projects should focus on quantifying GHG emissions and enhancing carbon sequestration through improved irrigation and drainage practice.
  Desjardins, Raymond, Ph...  
Quantification et réduction des émissions nettes de gaz à effet de serre (GES), d'ammoniac et de particules d'origine agricole
Quantifying and reducing net greenhouse gas (GHG), ammonia and particulate matter emissions from agricultural sources
  Janzen, Henry, Ph.D. - ...  
Little, S.M., Lindeman, J., Maclean, K., et Janzen, H.H. (2009). Holos - un outil pour estimer et réduire les GES émis par les fermes. , Canada: Agriculture and Agri-Food Canada (AAFC)/Agriculture et Agroalimentaire Canada (AAC).
Little, S.M., Lindeman, J., Maclean, K., and Janzen, H.H. (2009). Holos - A tool to estimate and reduce GHGs from farms., Canada: Agriculture and Agri-Food Canada (AAFC)/Agriculture et Agroalimentaire Canada (AAC). (Manual)
  Janzen, Henry, Ph.D. - ...  
Little, S.M., Lindeman, J., Maclean, K., et Janzen, H.H. (2009). « Holos - logiciel des emissions de GES de la ferme. », publié par AAC Centre de recherche et de développement en horticulture, Saint-Jean-sur-Richelieu, QC, 2 pages.
Little, S.M., Lindeman, J., Maclean, K., and Janzen, H.H. (2009). "Holos - GHG software for farms.", published by AAC Centre de recherche et de développement en horticulture, Saint-Jean-sur-Richelieu, QC, 2 pages. (Factsheet)
  Moulin, Alan, Ph.D. - A...  
Méthode de quantification des émissions/extractions de GES
Methodology for quantifying GHG emissions/removals
  Le processus de demande...  
Systèmes de culture : L'accent sera mis sur le perfectionnement des connaissances et l'élaboration de technologies pour réduire les émissions de GES et maximiser le stockage du carbone en ce qui concerne la production fourragère, le pâturage et les parcours naturels.
Cropping Systems: Focus on developing knowledge and technology for reducing GHG emissions and maximizing carbon sequestration from forage, pasture and rangeland. Wetland and zero tillage management will also be considered if significant information and technology gaps exist.
  Foire aux questions - P...  
Systèmes d’élevage : Ce domaine de priorité met l’accent sur des activités qui permettent de réduire les émissions de GES, comme la gestion du fumier et les stratégies en matière de pâturage et d'alimentation.
Livestock Systems: The focus of this priority area is on activities that reduce GHG emissions and may include manure management, as well as grazing and feeding strategies.
  Foire aux questions - P...  
Efficacité de l’utilisation de l’eau en agriculture : Ce domaine de priorité met l’accent sur la quantification des émissions de GES et l’amélioration du stockage du carbone grâce à de meilleures pratiques d’irrigation et de drainage.
Agricultural Water Use Efficiency: The focus of this priority area is on quantifying GHG emissions and enhancing carbon sequestration through improved irrigation and drainage practice.
  Foire aux questions - P...  
L'objectif du PLGESA est d'accroître la compréhension et l'accessibilité des technologies agricoles, des PGB et des processus que les agriculteurs peuvent adopter pour réduire les émissions de GES au Canada, dans les domaines prioritaires suivants :
The objective of the AGGP is to enhance the understanding and accessibility of agricultural technologies, BMPs and processes that can be adopted by farmers to mitigate GHG emissions in Canada, in the following priority areas:
  Foire aux questions - P...  
Systèmes de culture : Ce domaine de priorité met l’accent sur le perfectionnement des connaissances et l'élaboration de technologies pour réduire les émissions de GES et maximiser le stockage du carbone en ce qui concerne la production fourragère, le pâturage et les parcours naturels.
Cropping Systems: The focus of this priority area is on developing knowledge and technology for reducing GHG emissions and maximizing carbon sequestration from forage, pasture and rangeland. Wetland and zero tillage management are also being considered if significant information and technology gaps exist.
  Multiscale spatial vari...  
La variabilité spatiale des émissions de gaz à effet de serre (GES) des terres agricoles est mal connue, même si elle a beaucoup d’influence sur l’exactitude du bilan des GES. Nous avons réalisé cette étude pour évaluer la variabilité spatiale des flux d’émissions de CO2 (flux de CO2) et caractériser la corrélation entre ces émissions et les propriétés physico-chimiques des sols, à deux échelles spatiales et à différentes profondeurs, en appliquant une nouvelle approche géostatistique (analyse de co-régionalisation avec dérive) qui permet de faire une analyse spatiale multi-échelle.
Spatial variability of greenhouse gas (GHG) emissions from agricultural lands is not well known although it has a great impact on the accuracy of GHG budget. The objectives of this study were to assess the spatial variability of CO2 emission fluxes (CO2-flux) and correlate these emissions with soil physico-chemical properties at two spatial scales and at different depths using a new geostatistical approach (coregionalization analysis with a drift, CRAD) that performs multiscale spatial analysis. Two agricultural sites with sandy and loamy soils were instrumented at 108 geo-referred sampling points and at two depths during spring 2007 where soil surface CO2-flux and soil physico-chemical parameters were measured. The CO2-flux presented spatial patterns characterized by different scales (i.e., non-spatial, small spatial and large spatial scale components), each describing a different fraction of its variability. About a quarter of CO2-flux variability at the first site and one fifth at the other site was attributed to the non-spatial component. Strongest correlations were obtained between CO2-flux and soil temperature, water saturation (Sw), elevation, electrical conductivity, soil bulk density, and the C/N ratio, but with differences between sites. Correlations were much stronger at large scale. Analyzing correlations between CO2-flux and soil properties without discriminating for scales can miss important scale-dependent processes controlling soil gas emissions. Scales at which these processes vary should therefore be taken into account.
  Greenhouse gas emission...  
Pour déterminer le potentiel de réduction des émissions de gaz à effet de serre (GES) des pratiques de production, il est important de quantifier les émissions de GES associées à divers types de production.
In order to determine the potential of production practices for reducing greenhouse gas (GHG) emissions, it is important to quantify the GHG emissions associated with various types of production. The methodology from the Intergovernmental Panel on Climate Change (IPCC) adjusted for conditions in Canada was used to calculate the GHG emissions from the Canadian pork industry for census years from 1981 to 2001. Emissions of CH4, N2O and CO2 from animals, their facilities and the crops used to feed them were estimated. The pork crop complex (PCC), defined as the area used to grow the crops that feed all Canadian swine, was estimated using the recommended livestock feed rations. Fertilizer application and the use of fossil fuel were down-scaled from the national crop areas to the PCC. This study also estimated the GHG emission intensity based on the total weight of live animal production (destined for either slaughter or export). The growth of the swine population led to an increase in GHG emissions from the pork industry by 54% between 1981 and 2001. The main GHG was CH4, representing about 40% of the 6.7 Tg CO2 equiv. total in 2001. Nitrous oxide and fossil CO2 both accounted for about 30%. Due to changes in management practices, the GHG emission intensity of the Canadian swine industry decreased from 2.99 to 2.31 kg of CO2equiv. per kg of live market animal during the same period.
  The protein-based GHG e...  
Avant de procéder à la présente analyse, nous avons effectué des évaluations des émissions totales de gaz à effet de serre (GES) et de l’intensité des émissions en ce qui concerne les industries des produits laitiers, du bœuf, du porc et de la volaille au Canada.
Assessments of the total greenhouse gas (GHG) emissions and emission intensities had been carried out prior to this analysis for dairy, beef, pork, and poultry in Canada. The GHG emission intensities of these industries were based on different units of food produced. In this paper, the GHG emission intensities of the four livestock industries were compared on the basis of the weight of protein produced. The protein-based emission intensity for beef was almost four times as high as the GHG emission intensity for milk production. The emission intensities of pork production were lower than the emissions from milk production because of lower CH4 emissions. Broilers had the lowest GHG emission intensity of all five livestock commodities. The next lowest GHG intensity was for egg production. The differences between the egg and broiler intensities cannot be attributed to any one GHG. The number of breeding animals that must be maintained in order to produce one animal for slaughter is much higher for cattle than for swine or poultry. The slow means of reproduction of beef cattle is a better explanation for the observed difference between the GHG emission intensities of ruminants and non-ruminants than is enteric methane.
  Greenhouse gas (CO  
Dans le secteur agricole, les principaux gaz à effet de serre (GES) sont ceux qui sont liés aux cycles globaux du C et du N. L’impact de l’agriculture sur les émissions de GES est devenu une question clé, plus particulièrement si l’on tient compte du fait que les cycles naturels du C et du N sont influencés par le développement agricole.
In agricultural activities, the main greenhouse gases (GHG) are those related to C and N global cycles. The impact of agriculture on GHG emissions has become a key issue, especially when considering that natural C and N cycles are influenced by agricultural development. This review focuses on CO2 and N2O soil emissions in terrestrial ecosystems, with emphasis in Chilean and similar agro-ecosystems around the world. The influence of land use and crop management practices on CO2 and N2O emissions is analyzed and some mitigation measures to reduce such emissions are also discussed here. More knowledge on the biological processes that promote of GHG emissions from soil will allow creating opportunities for agricultural development under friendly-environmental conditions, where soil can act as a reservoir and/or emitter of GHG, depending on the balance of inputs and outputs.
  Multiscale spatial vari...  
La variabilité spatiale des émissions de gaz à effet de serre (GES) des terres agricoles est mal connue, même si elle a beaucoup d’influence sur l’exactitude du bilan des GES. Nous avons réalisé cette étude pour évaluer la variabilité spatiale des flux d’émissions de CO2 (flux de CO2) et caractériser la corrélation entre ces émissions et les propriétés physico-chimiques des sols, à deux échelles spatiales et à différentes profondeurs, en appliquant une nouvelle approche géostatistique (analyse de co-régionalisation avec dérive) qui permet de faire une analyse spatiale multi-échelle.
Spatial variability of greenhouse gas (GHG) emissions from agricultural lands is not well known although it has a great impact on the accuracy of GHG budget. The objectives of this study were to assess the spatial variability of CO2 emission fluxes (CO2-flux) and correlate these emissions with soil physico-chemical properties at two spatial scales and at different depths using a new geostatistical approach (coregionalization analysis with a drift, CRAD) that performs multiscale spatial analysis. Two agricultural sites with sandy and loamy soils were instrumented at 108 geo-referred sampling points and at two depths during spring 2007 where soil surface CO2-flux and soil physico-chemical parameters were measured. The CO2-flux presented spatial patterns characterized by different scales (i.e., non-spatial, small spatial and large spatial scale components), each describing a different fraction of its variability. About a quarter of CO2-flux variability at the first site and one fifth at the other site was attributed to the non-spatial component. Strongest correlations were obtained between CO2-flux and soil temperature, water saturation (Sw), elevation, electrical conductivity, soil bulk density, and the C/N ratio, but with differences between sites. Correlations were much stronger at large scale. Analyzing correlations between CO2-flux and soil properties without discriminating for scales can miss important scale-dependent processes controlling soil gas emissions. Scales at which these processes vary should therefore be taken into account.
  Livestock and greenhous...  
Les estimations des émissions mondiales de gaz à effet de serre (GES) attribuables au bétail varient de 8 à 51 %. Cette variabilité crée de la confusion chez les décideurs et la population, car elle semble indiquer qu'il y a un manque de consensus entre scientifiques relativement à la contribution du bétail aux émissions mondiales de GES.
Estimates of global greenhouse gases (GHG) emissions attributable to livestock range from 8 to 51%. This variability creates confusion among policy makers and the public as it suggests that there is a lack of consensus among scientists with regard to the contribution of livestock to global GHG emissions. In reality, estimates of international scientific organizations such as the International Governmental Panel on Climate Change (IPCC) and the Food and Agriculture Organization (FAO) are in close agreement, with variation mainly arising on how GHG emissions are allocated to land use and land use change. Other estimates involve major deviations from international protocols, such as estimated global warming potential of CH4 or including respired CO2 in GHG emissions. These approaches also fail to differentiate short-term CO2 arising from oxidation of plant C by ruminants from CO2 released from fixed fossil C through combustion. These deviances from internationally accepted protocols create confusion and direct attention from anthropomorphic practices which have the most important contribution to global GHG emissions. Global estimates of livestock GHG emissions are most reliable when they are generated by internationally recognized scientific panels with expertise across a range of disciplines, and with no preconceived bias to particular outcomes.
  Greenhouse gas emission...  
Pour déterminer le potentiel de réduction des émissions de gaz à effet de serre (GES) des pratiques de production, il est important de quantifier les émissions de GES associées à divers types de production.
In order to determine the potential of production practices for reducing greenhouse gas (GHG) emissions, it is important to quantify the GHG emissions associated with various types of production. The methodology from the Intergovernmental Panel on Climate Change (IPCC) adjusted for conditions in Canada was used to calculate the GHG emissions from the Canadian pork industry for census years from 1981 to 2001. Emissions of CH4, N2O and CO2 from animals, their facilities and the crops used to feed them were estimated. The pork crop complex (PCC), defined as the area used to grow the crops that feed all Canadian swine, was estimated using the recommended livestock feed rations. Fertilizer application and the use of fossil fuel were down-scaled from the national crop areas to the PCC. This study also estimated the GHG emission intensity based on the total weight of live animal production (destined for either slaughter or export). The growth of the swine population led to an increase in GHG emissions from the pork industry by 54% between 1981 and 2001. The main GHG was CH4, representing about 40% of the 6.7 Tg CO2 equiv. total in 2001. Nitrous oxide and fossil CO2 both accounted for about 30%. Due to changes in management practices, the GHG emission intensity of the Canadian swine industry decreased from 2.99 to 2.31 kg of CO2equiv. per kg of live market animal during the same period.
  A tool to link agricult...  
Les recherches se poursuivent afin d’élaborer des mesures pour réduire les émissions de gaz à effets de serre (GES) attribuables à des sources agricoles. Une technique pratique pour estimer les émissions consiste à établir des coefficients d’émission pour une vaste gamme de pratiques de gestion.
Research is ongoing to develop ways to reduce emissions of greenhouse gases (GHGs) from agricultural sources. A convenient technique to estimate emissions is to develop emission factors for a wide range of management practices. Default emission factors such as those given in the Intergovernmental Panel on Climate Change Tier I methodology are often used but these can result in substantial errors when applied to specific geographical regions. In this paper an interface was developed to link soil, climate and agricultural activity data in Canada with the DeNitrification and DeComposition (DNDC) model to create a modeling tool for estimating emission factors for changes in agricultural management. This tool was also designed to calculate country-specific IPCC Tier II emission factors for comparison against modeled results. The DNDC-Management Factor Tool (DNDC-MFT) was developed to automatically generate soil, climate and agricultural management model input data from national databases for estimating emissions factors for any of 462 ecodistricts across Canada. Six ecodistricts were selected across the major climatic regions to test the tool. The emission factors generated by the DNDC model were significantly different from Tier II values. Much variability in N2O emission estimates exist, partly due to limitations in certain biophysical processes in the model and partly due to quality of input data. The DNDC model is very sensitive to climate, size of initial soil C levels, and fertilizer application rates. We should also keep in mind that there is uncertainly associated with Tier II emission factors. The combined N2O and soil C factors estimated by the DNDC model are generally comparable to values that are being used to estimate Canada's national inventory (Tier II/III) but only the tillage factor was found to be statistically similar. The DNDC-MFT will be useful for testing the ability of the DNDC model to generate GHG emission factors for many management scenarios across varying climatic regions in Canada. The framework can be extended to include improved versions of DNDC and other ecosystem models.
  Permeable synthetic cov...  
Le stockage de lisier produit des gaz à effet de serre (GES) et de l’ammoniac (NH3) qui peuvent avoir des effets négatifs dans l’atmosphère et les écosystèmes. L’installation d’une couverture flottante sur les réservoirs de stockage de lisier constitue une méthode pour réduire ces émissions.
Liquid manure storages emit greenhouse gases (GHGs) and ammonia (NH3), which can have negative effects in the atmosphere and ecosystems. Installing a floating cover on liquid manure storages is one approach for reducing emissions. In this study, a permeable synthetic cover (Biocap™) was tested continuously for 165‐d (undisturbed storage + 3‐d agitation) in Nova Scotia, Canada. Covers were installed on three tanks of batch‐loaded dairy manure (1.3 m depth × 6.6 m2 each), while three identical tanks remained uncovered (controls). Fluxes were measured using steady‐state chambers. Methane (CH4), carbon dioxide (CO2), and nitrous oxide (N2O) were measured by absorption spectroscopy, and NH3 was measured using acid traps. Results showed covered tanks consistently reduced NH3 fluxes by approximately 90%, even though a surface crust formed on controls after about 50 days. Covers continued to reduce NH3 flux during agitation. Covered tanks also emitted significantly less CO2 and N2O than the controls (p‐value <0.01). However, CH4 fluxes were not reduced, and therefore overall GHG fluxes were not substantially reduced. Short‐term trends in CH4, CO2, and N2O flux provided insight into cover function. Notably, bubble fluxes were a key component of CH4 emissions in both treatments, suggesting the covers did not impede CH4 transport.
  The protein-based GHG e...  
Avant de procéder à la présente analyse, nous avons effectué des évaluations des émissions totales de gaz à effet de serre (GES) et de l’intensité des émissions en ce qui concerne les industries des produits laitiers, du bœuf, du porc et de la volaille au Canada.
Assessments of the total greenhouse gas (GHG) emissions and emission intensities had been carried out prior to this analysis for dairy, beef, pork, and poultry in Canada. The GHG emission intensities of these industries were based on different units of food produced. In this paper, the GHG emission intensities of the four livestock industries were compared on the basis of the weight of protein produced. The protein-based emission intensity for beef was almost four times as high as the GHG emission intensity for milk production. The emission intensities of pork production were lower than the emissions from milk production because of lower CH4 emissions. Broilers had the lowest GHG emission intensity of all five livestock commodities. The next lowest GHG intensity was for egg production. The differences between the egg and broiler intensities cannot be attributed to any one GHG. The number of breeding animals that must be maintained in order to produce one animal for slaughter is much higher for cattle than for swine or poultry. The slow means of reproduction of beef cattle is a better explanation for the observed difference between the GHG emission intensities of ruminants and non-ruminants than is enteric methane.
  The impact of increased...  
En 2006, les émissions de gaz à effet de serre (GES) attribuables à la production de 21 grandes cultures au Canada s’élevaient à 16,8 Tg d’éq. CO2 de N2O et à 17,2 Tg de CO2 provenant de l’utilisation de combustibles fossiles.
Greenhouse gas (GHG) emissions associated with the production of the 21 major field crops in Canada were 16.8 Tg CO2e of N2O and 17.2 Tg of fossil fuel CO2 in 2006. The mean GHG emission intensity on an area basis for these crops was 1.0 Mg of CO2e per ha. On a dry matter (DM) basis, the mean GHG emission intensity was 0.33 Mg of CO2e Mg-1 DM. For western Canada, the GHG emission intensity was 0.35 MgCO2e Mg-1 DM and 0.30 MgCO2e Mg-1 DM for eastern Canada. The sensitivity of the GHG emissions to crop-specific GHG emission intensities was demonstrated by examining two biodiesel scenarios. The biodiesel share of the diesel fuel blend was 2% in the first scenario (B2) and 5% in the second scenario (B5). The increased feedstock was assumed to come from canola and soybeans. The B2 scenario increased the emission intensity for western Canada to 0.38 MgCO2e Mg-1 DM and the B5 scenario to 0.43 MgCO2e Mg-1 DM. Neither scenario had any appreciable effect on the magnitude of the emission intensity for eastern Canada. The GHG emissions from the canola-dominated western Canadian field crops were increased by the B2 and B5 fuel blend scenarios. In the soybean-dominated east, the two scenarios resulted in decreased GHG emissions from field crops. Canola-based biodiesel potentially eliminates more petrodiesel CO2 emissions than soybean biodiesel. However, for both scenarios, the net potential GHG reductions (petrodiesel offset plus change in GHG emissions from field crops) were 2.60 MgCO2e ha-1 of additional oilseeds in the east and 0.94 MgCO2e ha-1 in the west. The higher meal by-product from soybean oil meant a smaller loss of livestock feed for eastern Canada.
  Carbon dioxide and nitr...  
L’agriculture peut jouer un rôle important pour l’atténuation des émissions de gaz à effet de serre (GES). Cependant, les pratiques agricoles réduisant les émissions de CO2 du sol et augmentant la teneur du sol en C organique risquent aussi de stimuler les émissions de N2O.
Agriculture has an important potential role in mitigating greenhouse gas emissions (GHG). However, practices that reduce CO2 emissions from soils and increase the soil organic C level may stimulate N2O emissions. This is particularly critical in Québec where heavy soils and a humid climate may limit the adoption of agricultural practices designed to mitigate GHG. The objective of this work was to study the effects of two tillage and N fertilization regimes on CO2 and N2O fluxes and the seasonal variability in emissions of these gases, associated with corn (Zea mays L.) grown in southwestern Québec. Different seasonal emission patterns of CO2 and N2O were observed. Higher N2O fluxes occurred during the spring and were associated with precipitation events, while higher CO2 fluxes occurred in mid-season and were related to temperature. Conventional tillage (CT) had greater peaks of CO2 emissions than no-till (NT) only after disking in the spring. Once corn was established, differences between tillage systems were small. Peaks of N2O emission occurred in both systems (NT and CT) following N application. Plots receiving 180 kg N ha-1 in both tillage systems had large peak of N2O emission rates during the wettest parts of the season. The CT and NT systems generally had similar cumulative CO2 emissions but NT had higher cumulative N2O emissions than CT. Our findings suggests that changing from CT to NT under the heavy soil conditions of Québec may increase GHG, mainly as result of the increase in N2O emission. This negative effect of NT could be reduced by avoiding fertilizing when precipitation is more intense.
  The impact of increased...  
En 2006, les émissions de gaz à effet de serre (GES) attribuables à la production de 21 grandes cultures au Canada s’élevaient à 16,8 Tg d’éq. CO2 de N2O et à 17,2 Tg de CO2 provenant de l’utilisation de combustibles fossiles.
Greenhouse gas (GHG) emissions associated with the production of the 21 major field crops in Canada were 16.8 Tg CO2e of N2O and 17.2 Tg of fossil fuel CO2 in 2006. The mean GHG emission intensity on an area basis for these crops was 1.0 Mg of CO2e per ha. On a dry matter (DM) basis, the mean GHG emission intensity was 0.33 Mg of CO2e Mg-1 DM. For western Canada, the GHG emission intensity was 0.35 MgCO2e Mg-1 DM and 0.30 MgCO2e Mg-1 DM for eastern Canada. The sensitivity of the GHG emissions to crop-specific GHG emission intensities was demonstrated by examining two biodiesel scenarios. The biodiesel share of the diesel fuel blend was 2% in the first scenario (B2) and 5% in the second scenario (B5). The increased feedstock was assumed to come from canola and soybeans. The B2 scenario increased the emission intensity for western Canada to 0.38 MgCO2e Mg-1 DM and the B5 scenario to 0.43 MgCO2e Mg-1 DM. Neither scenario had any appreciable effect on the magnitude of the emission intensity for eastern Canada. The GHG emissions from the canola-dominated western Canadian field crops were increased by the B2 and B5 fuel blend scenarios. In the soybean-dominated east, the two scenarios resulted in decreased GHG emissions from field crops. Canola-based biodiesel potentially eliminates more petrodiesel CO2 emissions than soybean biodiesel. However, for both scenarios, the net potential GHG reductions (petrodiesel offset plus change in GHG emissions from field crops) were 2.60 MgCO2e ha-1 of additional oilseeds in the east and 0.94 MgCO2e ha-1 in the west. The higher meal by-product from soybean oil meant a smaller loss of livestock feed for eastern Canada.
  Mitigation of greenhous...  
Un grand nombre de stratégies d’atténuation sont proposées pour réduire les émissions de gaz à effet de serre (GES) produites par les ruminants, nombre de ces stratégies visant à réduire les émissions de CH4 entérique.
Numerous mitigation strategies are proposed to reduce greenhouse gas (GHG) emissions from ruminants, with many aimed at reducing enteric CH4. Before implementing such practices, it is critical to evaluate their net impact on total farm GHG emissions. Thus, a life cycle assessment (LCA) was conducted using HOLOS (i.e., a whole farm model based on Intergovernmental Panel on Climate Change methodology modified for Canadian conditions that considers all significant CH4, N2O and CO2 emissions from the farm) to establish whole farm GHG emission intensity for beef production in western Canada (i.e., baseline scenario) as affected by various mitigation practices. Mitigation practices were applied to the baseline scenario and their impacts on the intensity of GHG emissions assessed. Mitigation practices included dietary modifications aimed at reducing CH4 emissions (i.e., changed forage use levels, dietary supplementation with polyunsaturated lipids, use of corn distillers dried grains, improved forage quality) and improved animal husbandry (i.e., increased longevity of breeding stock, improved reproductive performance of the herd). The simulated farm was a beef production operation comprised of 120 cows, 4 bulls, and their progeny, with the progeny fattened in a feedlot. The farm also included cropland and native prairie pasture for grazing to supply the feed required by the herd. The LCA was conducted over 8 years to fully account for lifetime GHG emissions from breeding stock, as well as the progeny raised for market. The baseline scenario estimated the GHG emission intensity of beef production at 22 kg CO2 equivalent/kg carcass; 80% of GHG emissions were from the cow calf system and 20% from the feedlot system, with enteric CH4 accounting for 63% of total emissions. Strategies applied to the cow calf herd individually reduced total farm GHG intensity by up to 8% with up to a 17% total reduction possible by combining strategies. In comparison, strategies applied to the feedlot had only a small impact on GHG emissions; reducing total GHG intensity by less than 2% when applied individually or by 3-4% when applied in combination. Although the North American beef production system is already highly efficient, a number of mitigation strategies could be implemented to further lower GHG emissions associated with producing beef, with a total reduction of about 20% attainable if multiple strategies are applied to both the cow herd and the feedlot. However, the biggest r
1 2 3 4 5 6 7 8 9 10 Arrow