<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Agriculture 4.0, a combination of mechanical innovation and information and communication technologies (ICT) using precision farming, omics technologies and advanced waste treatment techniques, can be used to enhance the biological potential of animal and crop productions and reduce livestock gaseous emissions. In addition to animal proteins being excellent nutritional ingredients for the human diet, there is a growing concern regarding the amount of energy spent converting vegetable crops into animal protein and the relevant environmental impacts. Using the value chain analysis derived from the neoclassic production theory extended to industrial processing and the market, the hypothesis to be tested concerns the sustainability and convenience of different protein sources. The methodology implies the use of life cycle analysis (LCA) to evaluate the efficiency of different livestock diet ingredients. The use of feeding products depend upon various factors, including cost reduction, consumer acceptance, incumbent industry response, civil society support, policy consensus, lower depletion of natural resources, improved sustainable agri-food supply chain and LCA. EU policy makers should be aware of these changes in livestock and market chains and act proactively to encourage the use of alternative animal proteins.</p></abstract>

Agriculture 4.0, a combination of mechanical innovation and information and communication technologies (ICT) using precision farming, omics technologies and advanced waste treatment techniques, can be used to enhance the biological potential of animal and crop productions and reduce livestock gaseous emissions. In addition to animal proteins being excellent nutritional ingredients for the human diet, there is a growing concern regarding the amount of energy spent converting vegetable crops into animal protein and the relevant environmental impacts. Using the value chain analysis derived from the neoclassic production theory extended to industrial processing and the market, the hypothesis to be tested concerns the sustainability and convenience of different protein sources. The methodology implies the use of life cycle analysis (LCA) to evaluate the efficiency of different livestock diet ingredients. The use of feeding products depend upon various factors, including cost reduction, consumer acceptance, incumbent industry response, civil society support, policy consensus, lower depletion of natural resources, improved sustainable agri-food supply chain and LCA. EU policy makers should be aware of these changes in livestock and market chains and act proactively to encourage the use of alternative animal proteins.

New Technology Tools and Life Cycle Analysis (LCA) Applied to a Sustainable Livestock Production

The EuroBiotech Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Agriculture 4.0, a combination of mechanical innovation and information and communication technologies (ICT) using precision farming, omics technologies and...

New Technology Tools and Life Cycle Analysis (LCA) Applied to a Sustainable Livestock Production

Article Category: Review - Food and Feed Biotechnology

Data publikacji: 24 lip 2021

Zakres stron: 130 - 141

DOI: https://doi.org/10.2478/ebtj-2021-0022

Słowa kluczowe
livestock, smart farming, genomics, LCA

© 2021 Edo D’Agaro, Franco Rosa, Natalia P. Akentieva, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

New Technology Tools and Life Cycle Analysis (LCA) Applied to a Sustainable Livestock Production

Article Category: Review - Food and Feed Biotechnology

Data publikacji: 24 lip 2021

Zakres stron: 130 - 141

DOI: https://doi.org/10.2478/ebtj-2021-0022

Słowa kluczowelivestock, smart farming, genomics, LCA

© 2021 Edo D’Agaro, Franco Rosa, Natalia P. Akentieva, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
livestock, smart farming, genomics, LCA