Challenges in Sustainable Beef Cattle Production: A Subset of Needed Advancements

Challenges Pub Date : 2023-02-20 DOI:10.3390/challe14010014
J. Hubbart, Nathanael A. Blake, I. Holásková, Domingo Mata Padrino, Matthew Walker, M. Wilson
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引用次数: 2

Abstract

Estimates of global population growth are often cited as a significant challenge for global food production. It is estimated that by 2050 there will be approximately two- billion additional people on earth, with the greatest proportion of that growth occurring in central Africa. To meet recommended future protein needs (60 g/d), approximately 120 million kg of protein must be produced daily. The production of ruminant meat (particularly beef cattle) offers the potential to aid in reaching increased global protein needs. However, advancements in beef cattle production are necessary to secure the industry’s future sustainability. This article draws attention to a subset of sustainable beef cattle production challenges, including the role of ruminant livestock in meeting global human protein needs, the environmental relationships of advanced beef cattle production, and big data and machine learning in beef cattle production. Considering the significant quantities of resources necessary to produce this form of protein, such advancements are not just a moral imperative but critical to developing advanced beef cattle production practices and predictive models that will reduce costs and liabilities and advance industry sustainability.
可持续肉牛生产的挑战:需要进步的一个子集
对全球人口增长的估计经常被认为是全球粮食生产面临的重大挑战。据估计,到2050年,地球上将增加大约20亿人口,其中最大比例的增长发生在中非。为了满足未来推荐的蛋白质需求(60克/天),每天必须生产大约1.2亿公斤蛋白质。反刍动物肉(特别是肉牛)的生产有可能帮助满足日益增长的全球蛋白质需求。然而,肉牛生产的进步对于确保该行业未来的可持续性是必要的。本文将关注可持续肉牛生产挑战的一部分,包括反刍牲畜在满足全球人类蛋白质需求方面的作用,先进肉牛生产的环境关系,以及肉牛生产中的大数据和机器学习。考虑到生产这种形式的蛋白质所需的大量资源,这种进步不仅是道德上的要求,而且对于开发先进的肉牛生产实践和预测模型至关重要,这将降低成本和负债,并促进行业的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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