净生产力,一种评估畜牧系统对粮食安全贡献的新指标:以专业奶牛场为例

IF 6.4 1区 农林科学 Q1 AGRONOMY Agronomy for Sustainable Development Pub Date : 2023-08-10 DOI:10.1007/s13593-023-00901-z
Caroline Battheu-Noirfalise, Alexandre Mertens, Eric Froidmont, Michaël Mathot, Benoit Rouillé, Didier Stilmant
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引用次数: 0

摘要

人口的增加和对动物食品的需求提出了动物系统因使用人类可食用饲料和/或耕地而对粮食安全产生影响的问题。用潜在的粮食作物系统取代动物系统的效用需要评估,但这与许多不确定性有关。一些指标分析了当前动物系统对粮食安全的贡献,特别是粮食供应的维度。这些方法涉及饲料转化效率(即总的(“cross”)或人类可食用的(“net”))或农业土地利用效率(即全部、永久性草地和可耕地),但绝不能同时兼顾。这项研究的目的是开发一种新的指标——“净生产力”,通过考虑人类可食用饲料和农业用地的使用,更准确地表示当前动物系统的性能。通过蛋白质评估,我们分析了现有和新指标评估瓦隆尼亚(比利时)111个奶牛场性能的能力。我们发现,净生产力与饲料转化效率这两个指标呈正相关,与土地利用这三个指标呈负相关。为了分析农场特征的影响,我们基于这些对粮食安全的贡献指标,使用k-means聚类将农场分为四个聚类,然后进行冗余分析,以选择最具影响力的农场特征,旨在突出对比的农场策略。最高的净生产力是通过“集约和净效率”农场战略实现的,该战略具有集约的草基管理、每头牛的高牛奶产量、适当使用浓缩物以及管理良好的奶牛追随者(即替代小母牛和小牛)。通过同时考虑人类食用蛋白质和农业用地的使用,新开发的净生产力指标有助于量化乳制品系统对粮食安全的贡献。
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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Net productivity, a new metric to evaluate the contribution to food security of livestock systems: the case of specialised dairy farms

The increasing human population and demand for animal food products raise the issue of impacts of animal systems on food security caused by their use of human-edible feed and/or tillable land. The utility of replacing animal systems with potential food-crop systems needs to be assessed but is associated with many uncertainties. Some metrics analyse the contribution of current animal systems to food security, especially the dimension of food availability. These methods address feed conversion efficiency (i.e. total (‘gross’) or human-edible (‘net’)) or the efficiency of agricultural land use (i.e. total, permanent grassland, and tillable land) but never both simultaneously. The purpose of this study was to develop a new metric—‘net productivity’—to represent the performances of current animal systems more accurately by considering both the use of human-edible feed and agricultural land. Through a protein assessment, we analysed the ability of the existing and the new metrics to assess the performances of 111 dairy farms in Wallonia (Belgium). We found that net productivity was positively correlated with both metrics of feed conversion efficiency and negatively correlated with the three metrics of land use. To analyse the influence of farm characteristics, we grouped the farms into four clusters using k-means clustering based on these metrics of contribution to food security and then performed redundancy analysis to select the most influential farm characteristics aiming to highlight contrasted farm strategies. The highest net productivity was reached by an ‘intensive and net efficient’ farm strategy, which had intensive grass-based management, high milk production per cow, appropriate use of concentrates, and well-managed dairy followers (i.e. replacement heifers and calves). The newly developed metric of net productivity can be useful to quantify the contribution of dairy systems to food security by considering both the use of human-edible protein and agricultural land simultaneously.

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来源期刊
Agronomy for Sustainable Development
Agronomy for Sustainable Development 农林科学-农艺学
CiteScore
10.70
自引率
8.20%
发文量
108
审稿时长
3 months
期刊介绍: Agronomy for Sustainable Development (ASD) is a peer-reviewed scientific journal of international scope, dedicated to publishing original research articles, review articles, and meta-analyses aimed at improving sustainability in agricultural and food systems. The journal serves as a bridge between agronomy, cropping, and farming system research and various other disciplines including ecology, genetics, economics, and social sciences. ASD encourages studies in agroecology, participatory research, and interdisciplinary approaches, with a focus on systems thinking applied at different scales from field to global levels. Research articles published in ASD should present significant scientific advancements compared to existing knowledge, within an international context. Review articles should critically evaluate emerging topics, and opinion papers may also be submitted as reviews. Meta-analysis articles should provide clear contributions to resolving widely debated scientific questions.
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