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从奶场的农场门口质量平衡中得出的关键氮磷绩效指标。

Key nitrogen and phosphorus performance indicators derived from farm-gate mass balances on dairies.

机构信息

Department of Animal Science, Cornell University, Ithaca, NY 14853.

Department of Animal Science, Cornell University, Ithaca, NY 14853.

出版信息

J Dairy Sci. 2023 May;106(5):3268-3286. doi: 10.3168/jds.2022-22297. Epub 2023 Mar 29.

Abstract

Efficient management of N and P on dairy farms is critical for farm profitability and environmental stewardship. Annual farm-gate nutrient mass balance (NMB) assessments can be used to determine the nutrient-use efficiency of farms, set efficiency targets, and monitor the effect of management changes with minimal inputs required. In New York, feasible N and P balances have been developed as benchmarks for dairy farm NMB, alongside key performance indicators (KPI) that serve as predictors for high NMB. Here, 3 yr of NMB data from 47 farms were used to evaluate the main drivers of N and P balances and identify additional KPI. From the 141 farm records, 26% met both the feasible N balances per hectare and per megagram of milk produced. For P, 53% of the records met both benchmarks. Imports, rather than exports, drove NMB primarily by feed and fertilizer purchases, consistent with earlier findings. Linear regression analysis showed that a selection of KPI currently used, particularly animal density, nutrient-use efficiency, and the amount of home-grown feed, explained a large portion of variation in NMB. Heifer-to-cow ratio and the relative proportion of various forage crops may provide further insight into the drivers of feed and fertilizer imports and ultimately farm-gate NMB. This study provides avenues toward a better assessment of whole-farm nutrient management and means for farms to communicate progress to stakeholders and consumers.

摘要

奶牛场氮(N)和磷(P)的高效管理对农场盈利能力和环境管理至关重要。年度农场门口养分质量平衡(NMB)评估可用于确定农场的养分利用效率,设定效率目标,并在最小投入的情况下监测管理变化的效果。在纽约,已经制定了可行的 N 和 P 平衡作为奶牛场 NMB 的基准,以及作为 NMB 高预测指标的关键绩效指标(KPI)。在这里,使用 47 个农场的 3 年 NMB 数据来评估 N 和 P 平衡的主要驱动因素,并确定其他 KPI。在 141 个农场记录中,有 26%的记录符合每公顷和每生产兆克牛奶的可行 N 平衡。对于 P,有 53%的记录符合这两个基准。进口而非出口主要通过饲料和化肥购买来驱动 NMB,这与早期的研究结果一致。线性回归分析表明,目前使用的一些 KPI,特别是动物密度、养分利用效率和本地饲料的数量,解释了 NMB 变化的很大一部分。小母牛与奶牛的比例以及各种饲料作物的相对比例可能为饲料和化肥进口以及最终的农场门口 NMB 的驱动因素提供更多的见解。本研究为更好地评估整个农场的养分管理提供了途径,并为农场向利益相关者和消费者传达进展提供了手段。

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