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Productivity-Enhancing Technologies. Can Consumer Choices Affect the Environmental Footprint of Beef?

doi: 10.3390/su13084283
Use of productivity-enhancing technologies (PET: growth hormones, ionophores, and beta-adrenergic agonists) to improve productivity has recently garnered public attention regarding environmentally sustainability, animal welfare, and human health. These consumer perceptions and increased demand for PET-free beef offer opportunities for the beef industry to target niche premium markets, domestically and internationally. However, there is a need to critically examine the trade-offs and benefits of beef raised with and without the use of PETs. This review contains a summary of the current literature regarding PET products available. The implications of their use on resource utilization, food safety and security, as well as animal health and welfare are discussed. Furthermore, we identified gaps in knowledge and future research questions related to the sustainability of these technologies in beef production systems. This work highlights the tradeoffs between environmental sustainability of beef and supplying the dietary needs of a growing population.
Environmental effects of industries and plants, land use, TJ807-830, TD194-195, water use, Renewable energy sources, Environmental sciences, productivity-enhancing technologies, beef cattle, greenhouse gas, GE1-350, environment sustainability
Environmental effects of industries and plants, land use, TJ807-830, TD194-195, water use, Renewable energy sources, Environmental sciences, productivity-enhancing technologies, beef cattle, greenhouse gas, GE1-350, environment sustainability
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
