Agricultural Systems | VOL. 103

Energy consumption, greenhouse gas emissions and economic performance assessments in French Charolais suckler cattle farms: Model-based analysis and forecasts

Publication Date Jan 1, 2010


Abstract The environmental and economic performance of five Charolais beef production systems (three specialized beef producer test cases in grassland areas and two mixed crop–livestock test cases with a more intensive production system) were assessed by coupling an economic optimization model (“Opt’INRA”) with a model assessing non-renewable energy (NRE) consumption and greenhouse gas emissions (“PLANETE”). The test cases studied covered a relatively diverse range of raised and sold animals: calf-to-weanling or calf-to-beef systems (animals sold: from 10-month-old weaners to 36-month-old beef steers). In 2006, NRE consumption ranged from 26,440 to 31,863 MJ/ton of live weight produced over 1 year. Fuels and lubricants were the main factors of NRE consumption, followed by fertilizers and farm equipment. Livestock was the main driver of global warming potential. GHG emissions, at 14.3–18.3 tCO2eq/t LW, were mainly determined by the proportion of cows in the total herd livestock units, according to the farming system deployed, i.e. calf-to-weanling vs. calf-to-beef. Against a background of rising energy costs, farms running mixed crop–livestock systems enjoy greater flexibility to adjust their farming systems than grassland-based farms, enabling them to minimize the drop in income over the timeframe to 2012 (−3%). In this same setting, specialist beef producers face a 15–25% drop in income. In all the scenarios run, system adjustments designed to minimize the drop in income have only a very limited impact on NRE consumption an...


Non-renewable Energy Consumption Drop In Income Energy Consumption Mixed Crop Livestock Economic Performance Assessments Greenhouse Gas Emissions Grassland-based Farms Intensive Production System Animals Sold Farm Equipment

Round-ups are the summaries of handpicked papers around trending topics published every week. These would enable you to scan through a collection of papers and decide if the paper is relevant to you before actually investing time into reading it.

Coronavirus Research Articles published between Jan 30, 2023 to Feb 05, 2023

R DiscoveryFeb 06, 2023
R DiscoveryArticles Included:  5

The Coronavirus Disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus type 2 (SARS-CoV-2), belongs to emerging and reemergi...

Read More

Climate change Research Articles published between Jan 30, 2023 to Feb 05, 2023

R DiscoveryFeb 06, 2023
R DiscoveryArticles Included:  3

Introduction: The IOC and the Olympic Games have made a visible transition toward sustainability in the last two decades. While the IOC has acknowledg...

Read More

Gender Equality Research Articles published between Jan 30, 2023 to Feb 05, 2023

R DiscoveryFeb 06, 2023
R DiscoveryArticles Included:  5

Gender inequity in Science, Technology, Engineering, and Medicine (STEM) fields, including parasitology, continues to limit the participation of women...

Read More

Coronavirus Pandemic

You can also read COVID related content on R COVID-19

R ProductsCOVID-19


Creating the world’s largest AI-driven & human-curated collection of research, news, expert recommendations and educational resources on COVID-19

COVID-19 Dashboard

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on “as is” basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The Copyright Law.