Life cycle assessment of swine production in Brazil: a comparison of four manure management systems

Cherubini, Edivan; Zanghelini, Guilherme Marcelo; Alvarenga, Rodrigo Freitas de; Franco, Daniel; Soares, Sebastião Roberto

doi:10.1016/j.jclepro.2014.10.035

Cited by 130 publications

(71 citation statements)

References 25 publications

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“…In addition, aquaculture is the animal production sector with the world's highest growth rate, and in 2014 it was responsible for approximately 44% of fish production worldwide (Roriz et al, 2017). In 2013, Brazil, the fourth largest producer and exporter of pork in the world, had an average herd of 38, 578 million animals (Cherubini et al, 2015). With the trimming during the boning process, a significant amount of pork fat is obtained, and it can become an environmental problem if not handled correctly.…”

Section: Introductionmentioning

confidence: 99%

Liquid-Liquid Equilibrium Data for the Pseudo-Ternary Biodiesel of Chicken Fat + Methanol + Glycerol

Neto

Sobrinho

Oliveira

et al. 2018

BJPG

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Liquid-liquid equilibrium (LLE) data for the system biodiesel of chicken fat + methanol + glycerol was measured at 25 and 45 °C and atmospheric pressure. The zone of miscibility was found by means of the binodal curve, using the density of turbidity in each point for its construction. Tie lines were defined through the calibration curves of the biodiesel and glycerin phases. The distribution and selectivity coefficients for the system were determined. The validation of the equilibrium data was proved using the Othmer-Tobias and Hand correlations, with coefficients close to the unity. The LLE data were correlated with the UNIQUAC model for temperatures of 25 °C and 45 °C, with global mean deviation values of 0.78% and 0.89%, respectively.

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Section: Introductionmentioning

confidence: 99%

Liquid-Liquid Equilibrium Data for the Pseudo-Ternary Biodiesel of Chicken Fat + Methanol + Glycerol

Neto

Sobrinho

Oliveira

et al. 2018

BJPG

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show abstract

“…While system expansion is generally associated with consequential LCA modelling, it is also utilised in many attributional models (Finnveden et al 2009). For example, many attributional livestock LCAs have used system expansion to account for nutrients in manure replacing the need for inorganic fertilizers when spread on fields for crop production (Williams et al 2006;Reckmann 2013;Cherubini et al 2015). There are, however, wider concerns as to whether implementing system expansion throughout LCA models to avoid co-product allocation is feasible or desirable (Finnveden et al 2009).…”

Section: Introductionmentioning

confidence: 99%

The need for co-product allocation in the life cycle assessment of agricultural systems—is “biophysical” allocation progress?

Mackenzie

Leinonen

Kyriazakis

2016

Int J Life Cycle Assess

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Purpose Several new Bbiophysical^co-product allocation methodologies have been developed for LCA studies of agricultural systems based on proposed physical or causal relationships between inputs and outputs (i.e. co-products). These methodologies are thus meant to be preferable to established allocation methodologies such as economic allocation under the ISO 14044 standard. The aim here was to examine whether these methodologies really represent underlying physical relationships between the material and energy flows and the co-products in such systems, and hence are of value. Methods Two key components of agricultural LCAs which involve co-product allocation were used to provide examples of the methodological challenges which arise from adopting biophysical allocation in agricultural LCA: (1) the crop production chain and (2) the multiple co-products produced by animals. The actual Bcausal^relationships in these two systems were illustrated, the energy flows within them detailed, and the existing biophysical allocation methods, as found in literature, were critically evaluated in the context of such relationships.Results and discussion The premise of many biophysical allocation methodologies has been to define relationships which describe how the energy input to agricultural systems is partitioned between co-products. However, we described why none of the functional outputs from animal or crop production can be considered independently from the rest on the basis of the inputs to the system. Using the example of manure in livestock systems, we also showed why biophysical allocation methodologies are still sensitive to whether a system output has economic value or not. This sensitivity is a longstanding criticism of economic allocation which is not resolved by adopting a biophysical approach. Conclusions The biophysical allocation methodologies for various aspects of agricultural systems proposed to date have not adequately explained how the physical parameters chosen in each case represent causal physical mechanisms in these systems. Allocation methodologies which are based on shared (but not causal) physical properties between co-products are not preferable to allocation based on non-physical properties within the ISO hierarchy on allocation methodologies and should not be presented as such.

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“…In the national Brazilian context, CHERUBINI et al (2015a) evaluated the environmental impact of different manure management systems based on LCA. They reported that the biodigestor for energy purposes had the best environmental performance for almost all the environmental impacts, mainly due to biogas capture and the potential of energy savings.…”

Section: Nutrition and Global Warming Potentialmentioning

confidence: 99%

Life cycle assessment as a tool to evaluate the impact of reducing crude protein in pig diets

Monteiro

Dourmad²,

Pozza

2017

Cienc. Rural

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Environmental impacts of livestock systems, especially pig production, have come under increasing debate in recent years. The challenge is in meeting the growing demand for food at an affordable cost, without compromising environmental integrity. Previous studies have shown that feed production is responsible for the majority of CO2-eq. emission resulting from pig farming systems. This seems to indicate that feed strategies could be an effective tool to achieve the sustainability of the pork chain. Therefore, dietary crude protein reduction, through the addition of industrial amino acids, lessens the nitrogen excretion by pigs and, consequently, could mitigate the effects on the environment of pig production. In this sense, to effectively evaluate the environmental impacts of pig production systems, life cycle assessment has been widely used in agriculture, but the effects of feed are still understudied in Brazilian conditions. Owing to the importance and the great concern in this research area, we presented in this paper an updated review focusing on the nutritional techniques and their potential to reduce the global warming potential of pig production, considering both the direct effects, related to the choice of feed ingredients and the indirect effects, related to changes in the efficiency of use of nutrient by the animals.

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Life cycle assessment of swine production in Brazil: a comparison of four manure management systems

Cited by 130 publications

References 25 publications

Liquid-Liquid Equilibrium Data for the Pseudo-Ternary Biodiesel of Chicken Fat + Methanol + Glycerol

Liquid-Liquid Equilibrium Data for the Pseudo-Ternary Biodiesel of Chicken Fat + Methanol + Glycerol

The need for co-product allocation in the life cycle assessment of agricultural systems—is “biophysical” allocation progress?

Life cycle assessment as a tool to evaluate the impact of reducing crude protein in pig diets

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