Pluri-energy analysis of livestock systems – A comparison of dairy systems in different territories

Vigne, Mathieu; Vayssières, Jonathan; Lecomte, Philippe; Peyraud, Jean‐Louis

doi:10.1016/j.jenvman.2013.04.003

Cited by 18 publications

(17 citation statements)

References 39 publications

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“…On the positive side, the efficiency of extensive milk production systems has been demonstrated, for example, in Mali. This finding considers the positive role of extensive livestock systems in harsh environments, beyond food production alone (Vigne et al 2013).…”

Section: Food Insecuritymentioning

confidence: 97%

Prospects for Livestock-Based Livelihoods in Africa's Drylands

Haan¹

2016

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World Bank Studies are published to communicate the results of the Bank's work to the development community with the least possible delay. The manuscript of this book therefore has not been prepared in accordance with the procedures appropriate to formally edited texts. This work is a product of the staff of The World Bank with external contributions. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. Nothing herein shall constitute or be considered to be a limitation upon or waiver of the privileges and immunities of The World Bank, all of which are specifically reserved.

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Section: Food Insecuritymentioning

confidence: 97%

Prospects for Livestock-Based Livelihoods in Africa's Drylands

Haan¹

2016

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“…Pluri-energy analysis framework proposed by Vigne et al (2013bVigne et al ( , 2014) is a first attempt to look energetic flows inside the agricultural system. This method aims at assessing the different types of energy mobilized and organized in agricultural systems, considering fossil energy, biomass (in gross energy), labor energy, and solar energy.…”

Section: Approach #2: Pluri-energy Analysismentioning

confidence: 99%

Energetic assessment of the agricultural production system. A review

Hercher-Pasteur

Loiseau

Sinfort

et al. 2020

Agron. Sustain. Dev.

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Energy holds a key role in farm systems. Cultivation is based on the conversion of solar energy into biomass of interest. Fossil energy allows mechanized and high-yield agricultural production system, but has a strong impact on climate change, and its supply is compromised in the next decades. Energy flows stand between two worlds: while energy is a strategic component of the economy, it is also a thermodynamic state variable for describing ecosystems. This situation reemphasizes the need for energy flow analysis in farm systems. There is a great variety in the approaches used to compute energy flows at farm scales. Yet, their main characteristics and the ways they handle farm sustainability issues need to be clarified. This review identifies ten kinds of energetic approaches, i.e., (i) conventional energy analysis, (ii) pluri-energy analysis, (iii) agroecological energy analysis, (iv) exergy analysis, (v) cumulative exergy consumption, (vi) extended exergy account, (vii) cumulative exergy extraction from the natural environment, (viii) eco-exergy, (ix) cosmic exergy analysis, and (x) emergy assessment. These approaches are analyzed through key features to discuss their ability to address resources' efficiency issues and identify promising outcomes for energy assessment of farms. This analysis emphasizes the lack of clear definition of system boundaries in farm-scale studies. In addition, most of the studies mainly focus on socio-economic flows through a sectoral perspective. Yet, internal biomass flows that play a role in maintaining agroecosystem functionality can also be considered according to a circular/systemic perspective. Then, integration of soil organic matter in the energy balance leads to significant changes in energy efficiency evaluation playing a function of biotic energy storage in the farm system. Hence, some recommendations are provided to perform an exhaustive energetic assessment of farm systems as well as future lines of research to be investigated.

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“…Energy analysis and measurement of the GHG emissions of agricultural systems are scarce in the literature, especially for tropical livestock systems. Vigne et al (2013)compared four dairy systems using the Planet and Dia'terre methods: one low-level inputs system in South Mali (SoM), one high-level inputs system in Reunion Island (RI) and two intermediate-level inputs systems in metropolitan France (Poitou Charente (PC) and Bretagne (BR) regions). All these systems have forage and crop production.…”

Section: Comparison With Other Livestock Production Systemsmentioning

confidence: 99%

Energy Analysis and Measurement of the Greenhouse Gas Emissions of Livestock Systems. A Comparison of Different Livestock Systems in the Eastern Brazilian Amazon

Pachoud¹,

Poccard-Chapuis²,

Bonaudo³

et al. 2017

JAES

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This paper introduces an assessment method based on the Planet method (2002). It aims to measure the energy inputs and outputs, their conversion efficiencies and the greenhouse gas (GHG) emissions in agricultural systems at the farm level. The method was applied to compare smallholder mixed dairy-beef livestock systems (SM) with two extensive and highly technical beef breeding-fattening (BB) and fattening (BF) systems, in the Eastern part of the Brazilian Amazon. It appears that SM farms are the lowest-level input system (13 koe ha-1 of pasture); therefore, they do not require substantial amounts of fossil-energy to produce the outputs. The BF system is the highest level inputs user (60 koe ha-1 of pasture). No significant difference was found for the BB system when compared to the BF and SM systems (38 koe ha-1 of pasture). In regards to the energy outputs, the SM system had the lowest production per hectare of pasture (30 koe ha-1 of pasture), while the BB system had an intermediate amount of energy production (68 koe ha-1 of pasture), and the BF system had the highest production (129 koe ha-1 of pasture). The only output from the BB and BF systems is beef, while the SM system produces beef obtained from the sale of male calves to the BF farms and also dairy products on the local market (essentially cheese). No significant difference was found between the three systems in terms of energy efficiency (average of 2.3). Finally, the GHG emissions were the highest for the BF system (7814 kg CO2 ha-1 of pasture), intermediate for the BB system (2619 kg of CO2 ha-1 of pasture), and the lowest for the SM system (1702 kg of CO2 ha-1 of pasture). The major source of emissions differed for the three systems-burning practices for the SM farms; enteric fermentation for the BB farms; and the purchase of calves and burning practices for two-thirds and one-third of the BF farms, respectively. The energy inputs and outputs and GHG emissions expressed per ton of live weight produced were compared between the BB and the BF systems. No significant differences were found for the four indicators. According to other analyses, the three systems studied are low-level fossil energy users.

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Pluri-energy analysis of livestock systems – A comparison of dairy systems in different territories

Cited by 18 publications

References 39 publications

Prospects for Livestock-Based Livelihoods in Africa's Drylands

Prospects for Livestock-Based Livelihoods in Africa's Drylands

Energetic assessment of the agricultural production system. A review

Energy Analysis and Measurement of the Greenhouse Gas Emissions of Livestock Systems. A Comparison of Different Livestock Systems in the Eastern Brazilian Amazon

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