Variability in greenhouse gas emissions, fossil energy consumption and farm economics in suckler beef production in 59 French farms

Veysset, Patrick; Lherm, Michel; Bébin, Didier; Roulenc, Marielle; Benoît, Marc

doi:10.1016/j.agee.2014.03.003

Cited by 40 publications

(26 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To a lesser degree, land productivity and emission intensity were negatively correlated. Improving production efficiency has been recommended as a strategy to mitigate GHG emissions in beef systems [14,15,26,57,[64][65][66]. For instance, Alemu et al [26] found that low-emitting farms had higher animal and land productivities than high-emitting farms in Canadian cow-calf systems.…”

Section: Discussionmentioning

confidence: 99%

“…Grazing lands have a high potential for carbon sequestration [23,75,76], which can, at least partially, mitigate the GHG emissions from ruminant production systems [77]. Extensive livestock grazing systems had a lower GHG emission intensity if soil carbon uptake had been included in the emission inventory [15,65,[78][79][80][81], particularly for low-input or small-scale grazing systems [20,81]. Therefore, land-use decisions should be informed by all environmental factors, negative impacts-not only GHG emissions-and ecosystem services.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Greenhouse Gas Emissions from Beef Grazing Systems in Semi-Arid Rangelands of Central Argentina

Barrantes

Privitello

et al. 2018

Sustainability

View full text Add to dashboard Cite

The livestock sector can be a major contributor to the mitigation of greenhouse gas (GHG) emissions. Within the sector, beef production produces the largest proportion of the livestock sector's direct emissions. The objective of this study was to assess the on-farm GHG emissions in semi-arid rangelands in Argentina and to identify the relationship between emissions and current farm management practices. A survey recorded detailed information on farm management and characteristics. Assessments of GHG emissions were based on the Intergovernmental Panel on Climate Change (IPCC) Tier 2 protocols. The relationship between farm management and GHG emissions were identified using general linear models. Cluster analysis was used to identify groups of farms that differed from others in emissions and farm characteristics. Emissions per product sold were low on farms that had improved livestock care management, rotational grazing, received technical advice, and had high animal and land productivities. Emissions per hectare of farmland were low on farms that had low stocking rates, a low number of grazing paddocks, little or no land dedicated to improved pastures and forage crops, and low land productivity. Our results suggest that the implementation of realistic, relatively easy-to-adopt farming management practices has considerable potential for mitigating the GHG emissions in the semi-arid rangelands of central Argentina.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Greenhouse Gas Emissions from Beef Grazing Systems in Semi-Arid Rangelands of Central Argentina

Barrantes

Privitello

et al. 2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…To a lesser degree, land productivity and emission intensity were negatively correlated. Improving production efficiency has been recommended as a strategy to mitigate GHG emissions in beef systems [15,16,27,56,63,64,65]. For instance, Alemu et al [27] found that low-emitting farms had higher animal and land productivities than did high-emitting farms in Canadian cow-calf systems.…”

Section: Discussionmentioning

confidence: 99%

Effects of the Management of Extensive Beef Grazing Systems on the Mitigation of Greenhouse Gas Emissions in Semi-arid Rangelands of Central Argentina

Mi¹,

Barrantes²,

Privitello³

et al. 2018

Preprint

View full text Add to dashboard Cite

The livestock sector can be a major contributor to the mitigation of greenhouse (GHG) emissions. Within the sector, beef production produces the largest proportion of the livestock sector’s direct emissions. The objective of this study was to assess the on-farm GHG emissions in semi-arid rangelands in Argentina and to identify the relationships between emissions and current farm management practices. A survey recorded detailed information on farm management and characteristics. Assessments of GHG emissions were based on the IPCC Tier 2 protocols [1]. The relationships between farm management and GHG emissions were identified using General Linear Models. Cluster analysis was used to identify groups of farms that differed from others in emissions and farm characteristics. Emissions per product sold were low on farms that had improved livestock care management, rotational grazing, received technical advice, and had high animal and land productivities. Emissions per hectare of farmland were low on farms that had low stocking rates, low number of grazing paddocks, little or no land dedicated to improved pastures and forage crops, and low land productivity. Our results suggest that the implementation of realistic, relatively easy-to-adopt farming management practices has considerable potential for mitigating GHG emissions in semi-arid rangelands of central Argentina.

show abstract

“…Beef production is one of the main economic activities in the Brazilian Pampa Biome. Increases in system efficiency are possible through the improvement of animal productivity indicators, with the use of practices and technologies aimed at intensifying production (Soussana et al, 2004;Veysset et al, 2010;Veysset et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options

Lampert

Canozzi

McManus

et al. 2020

Sci. agric. (Piracicaba, Braz.)

View full text Add to dashboard Cite

Traditional livestock productivity is hard to estimate, since it depends on a gamut of animal production indicators that are difficult to measure for many farms. Thus, we propose an analytical method for estimating productivity and understanding the importance of animal production indicators under different full-cycle cattle production systems in Brazil. To evaluate the impact of these indicators, equations were derived from a comutational model of herd evolution for estimating the output parameters of the system as follows: productivity per hectare (PH) and offtake rate (COR), as a function of the indicators; calving rate (CR), mating age (AM), age of slaughter (AS) and stocking rate (SR). For this analysis, twenty-seven scenarios (simulation data) of low to high productivity were used, resulting from the combination of the following factors and levels: 1) calving rate of 50, 65 and 80 %; 2) mating age of heifers of one, two and three, years of age; and 3) age at slaughter of one, two and three year old steers. The scenario with the highest impact for each parameter and the indicator of highest impact for each scenario were identified for the production conditions in the region. Under most scenarios, a reduction in mating age had a greater impact on the productivity indexes compared to a reduction in slaughter age. Appropriate management of available technologies enables farmers to compare the marginal impacts of specific indicators on full-cycle production systems for beef cattle.

show abstract

Variability in greenhouse gas emissions, fossil energy consumption and farm economics in suckler beef production in 59 French farms

Cited by 40 publications

References 50 publications

Greenhouse Gas Emissions from Beef Grazing Systems in Semi-Arid Rangelands of Central Argentina

Greenhouse Gas Emissions from Beef Grazing Systems in Semi-Arid Rangelands of Central Argentina

Effects of the Management of Extensive Beef Grazing Systems on the Mitigation of Greenhouse Gas Emissions in Semi-arid Rangelands of Central Argentina

Modelling beef cattle production systems from the Pampas in Brazil to assess intensification options

Contact Info

Product

Resources

About