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A glimpse of the future in animal nutrition science. 2. Current and future solutions

机译:瞥见动物营养科学的未来。 2.当前和将来的解决方案

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Despite tremendous advancements in the livestock sector, additional opportunities exist to improve even further livestock production around the globe. Forecasting is not an exact science and it relies heavily on past and current knowledge. Improvements in the nutritional sciences (both human and animal) include a better understanding of agents that cause deterioration of human health, improving the quality of animal products, applying effective fetal programming, developing new feeds and feeding strategies, and revisiting longstanding technologies. Improvements in the understanding of the rumen microbiome will enable scientists to increase the fermentation efficiency and, hopefully, select microbial species of greater interest. Improvements in remote sensing and ground-based instrumentation, telecommunications, and weather forecasting technologies will aid in the continued improvements of early warning systems to assist livestock producers in reducing risk and adapting to the changing environment. Broad utilization of sensor technologies will allow scientists to collect real-time data and, when combined with mathematical modeling, decision support systems will become an indispensable managerial tool for livestock production with the possibility to automate low-level decisions on the farm, such as supplementation schedules, sorting of animals, and early detection of disease and outbreaks. The identification of feed efficient animals may be the single most impactful advancement towards long-term livestock sustainability and the promise of feeding the world animal products. We contend that education across societal levels is the first step to solve current and future challenges of the livestock industry. The dilemma has been who will take the first step forward.
机译:尽管畜牧业取得了长足发展,但仍有更多机会可以改善全球范围内的畜牧生产。预测并不是一门精确的科学,它在很大程度上取决于过去和现在的知识。营养科学(人类和动物)的改进包括对导致人类健康恶化的因素的更好理解,改善动物产品的质量,应用有效的胎儿程序,开发新的饲料和喂养策略以及重新研究长期的技术。对瘤胃微生物组的了解的改善将使科学家能够提高发酵效率,并希望选择更感兴趣的微生物。遥感和地面仪器,电信以及天气预报技术的改进将有助于不断改进预警系统,以帮助畜牧生产者降低风险并适应不断变化的环境。传感器技术的广泛应用将使科学家能够收集实时数据,并且与数学建模相结合,决策支持系统将成为畜牧生产必不可少的管理工具,并可能使农场的低级决策自动化,例如补充日程安排,动物分类以及疾病和暴发的早期发现。饲料有效动物的鉴定可能是实现牲畜长期可持续发展的最有影响力的进步,也是对世界动物产品进行喂养的希望。我们认为,跨社会教育是解决当前和未来畜牧业挑战的第一步。困境在于谁将迈出第一步。

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