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经济和环境评估结合遗传学和营养优化策略以提高可持续猪肉生产效率。

Economic and environmental assessments of combined genetics and nutrition optimization strategies to improve the efficiency of sustainable pork production.

机构信息

GenPhySE, Université de Toulouse, INRAE, ENVT, 31326 Castanet-Tolosan, France.

Animal Genetics and Breeding Unit, A Joint Venture of NSW Department of Primary Industries and the University of New England, University of New England, Armidale, NSW 2351, Australia.

出版信息

J Anim Sci. 2021 Mar 1;99(3). doi: 10.1093/jas/skab051.

Abstract

We evaluated the economic and environmental impacts of strategies that incorporated selection for pig feed efficiency and dietary optimization based on a single or multiple objectives tailored to meet the population nutritional requirements, with the goal to optimize sustainable farm feed efficiency. The economic and environmental features of the strategy were evaluated using life cycle assessment (LCA) and bio-economic models. An individual trait-based LCA model was applied to evaluate global warming potential, terrestrial acidification potential, freshwater eutrophication potential (EP), and land occupation of the combined genetics and nutrition optimization to produce 1 kg of live pig weighing 120 kg at the farm gate. A parametric individual trait-based bio-economic model was developed and applied to determine the cost breakdown, revenue, and profit to be gained from a 120-kg live pig at the farm gate. Data from two genetic lines with contrasted levels of feed efficiency were used to apply the combined genetics and nutrition optimization: accounting for the average nutritional requirements for each line, the individual pig responses to diets formulated for least cost, least environmental impacts, or minimum combination of costs and environmental impacts objectives were predicted with INRAPorc. Significant differences in the environmental impacts (P < 0.0001) and profit (P < 0.05) between lines predicted with the same reference diet showed that selection for feed efficiency (residual feed intake) in pigs improves pig production sustainability. When pig responses were simulated with their line-optimized diets, except for EP, all the line environmental impacts were lower (P < 0.05) than with the reference diet. The high correlations of feed conversion ratio with the environmental impacts (> 0.82) and the profit (< -0.88) in both lines underlined the importance of feed efficiency as a lever for the sustainability of pig production systems. Implementing combined genetics and nutrition optimization, the inherent profit and environmental differences between the genetic lines were predicted to be reduced from 23.4% with the reference diet to 7.6% with the diet optimized jointly for economic and environmental objectives (joint diet). Consequently, for increased pig sustainability, diet optimization for sustainability objectives should be applied to cover the specific nutritional requirements arising in the herd from the pigs genetic level.

摘要

我们评估了以下策略的经济和环境影响

将猪饲料效率选择和基于单一或多个目标的饮食优化相结合,以满足人口营养需求,目标是优化可持续农场饲料效率。使用生命周期评估 (LCA) 和生物经济模型评估了策略的经济和环境特征。应用基于个体特征的 LCA 模型来评估全球变暖潜能、陆地酸化潜能、淡水富营养化潜能 (EP) 和综合遗传和营养优化的土地占用,以生产 1 公斤 120 公斤重的活猪在农场门口。开发并应用参数化基于个体特征的生物经济模型,以确定从 120 公斤活猪在农场门口获得的成本细分、收入和利润。使用具有不同饲料效率水平的两个遗传系的数据来应用综合遗传和营养优化:考虑到每条线的平均营养需求,预测了个体猪对为最低成本、最低环境影响或成本和环境影响最小组合制定的饮食的反应用 INRAPorc。使用相同参考饮食预测的两条系之间的环境影响 (P < 0.0001) 和利润 (P < 0.05) 存在显着差异,表明猪的饲料效率 (残留饲料摄入量) 选择提高了猪生产的可持续性。当用其系优化的饮食模拟猪的反应时,除了 EP 之外,所有系的环境影响都低于 (P < 0.05) 参考饮食。在两条系中,饲料转化率与环境影响 (> 0.82) 和利润 (> -0.88) 的高度相关性强调了饲料效率作为猪生产系统可持续性的杠杆的重要性。实施综合遗传和营养优化,预计参考饮食下遗传系之间的固有利润和环境差异将从 23.4%降低到经济和环境目标联合优化的饮食 (联合饮食) 下的 7.6%。因此,为了提高猪的可持续性,应该针对可持续性目标优化饮食,以满足猪遗传水平引起的畜群的特定营养需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f69/7999619/9274aed11452/skab051_fig1.jpg

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