The economic performance of grassland-based milk production using best practices to lower greenhouse gas and ammonia emissions

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-09-03 DOI:10.1016/j.agsy.2024.104105
Owen Cashman , Imelda Casey , James Humphreys
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Abstract

Context

Economic sustainability is a primary consideration when contemplating adoption of new farming practices to mitigate climate change. Quantifying the impact of adopting best practices to lower emissions on the profitability of dairy production systems is critical to encouraging rapid adoption at farm level to reach emissions reduction targets.

Objective

The aim was to evaluate the economic consequences of adoption of best practices to mitigate climate change in a typical compact spring-calving grassland-based system of dairy production in Ireland.

Methods

Data were collected from compact systems-scale experiments conducted at Solohead Research Farm, Co. Tipperary, Ireland (52°51′N, 08°21′W) between 2011 and 2022. There were three systems that had an average of 27 cows per system per year and an average annual stocking rate of 2.53 cows ha−1. INT was the control in this study and included average annual fertiliser N input of 265 kg ha−1, applied as calcium ammonium nitrate (CAN 27.5 % N) and urea (46 % N) and the average annual clover content of grassland dry matter was 110 g kg−1, and slurry was applied by splash plate. BPN included average annual fertiliser N input of 99 kg ha−1 applied as urea or protected urea, clover content was 230 g kg−1 and slurry was applied by trailing shoe. BPO received minimal (<5 kg ha−1) inputs of fertiliser N, clover content was 280 g kg−1 and slurry was applied by trailing shoe. INT encompassed each of 7 experimental years, BPN 7 years and BPO 4 years. Herbage, milk and other production characteristics were measured. Relevant farm activity data was modelled on the basis of a 50 ha farm to compare the economic performance of the three systems.

Results and conclusions

There were no (P > 0.05) differences in herbage dry matter production per ha and milk production per cow between the three systems. BPO was more (P < 0.05) profitable than INT, whereas BPN was intermediate. Sensitivity of the systems to changing fertiliser N and milk price showed that BPO was more profitable (P < 0.05) in scenarios with intermediate or high fertiliser N prices. BPO had the potential to maintain or improve profitability with substantially lower greenhouse gas and ammonia emissions than conventional grassland-based dairy production (INT).

Significance

The adoption of practices to lower greenhouse gas emissions from grassland-based dairy production can maintain or improve farm profitability. These results support wider adoption on farms.

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利用最佳实践降低温室气体和氨排放的草地牛奶生产的经济效益
背景在考虑采用新的农业生产方式来减缓气候变化时,经济可持续性是一个首要考虑因素。量化采用最佳实践降低排放对奶牛生产系统盈利能力的影响,对于鼓励在牧场层面快速采用最佳实践以实现减排目标至关重要。数据收集自 2011 年至 2022 年在爱尔兰蒂珀雷里郡索洛黑德研究农场(北纬 52°51′,西经 08°21′)进行的紧凑型系统规模实验。共有三个系统,每个系统每年平均饲养 27 头奶牛,平均年饲养量为 2.53 头奶牛/公顷。INT 是本研究中的对照组,包括年均肥料氮输入量 265 kg ha-1,以硝酸铵钙(CAN 27.5 % N)和尿素(46 % N)的形式施用,草地干物质中苜蓿的年均含量为 110 g kg-1,泥浆采用喷洒板施用。BPN 包括以尿素或保护尿素形式施用的年平均肥料氮输入量 99 千克/公顷,三叶草含量为 230 克/千克,泥浆以拖拉蹄施用。BPO 的氮肥投入量最小(5 千克/公顷),三叶草含量为 280 克/千克,泥浆采用拖曳式施肥。INT 包含 7 个实验年,BPN 包含 7 年,BPO 包含 4 年。对垃圾、牛奶和其他生产特征进行了测量。以一个 50 公顷的农场为基础,对相关的农场活动数据进行建模,以比较三种系统的经济效益。BPO比INT更有利可图(P <0.05),而BPN则处于中间位置。各系统对肥料氮和牛奶价格变化的敏感性表明,在肥料氮价格中等或较高的情况下,BPO 的利润更高(P < 0.05)。与传统的草地奶牛生产(INT)相比,BPO 有可能在大幅降低温室气体和氨气排放的同时保持或提高盈利能力。这些结果支持在牧场中更广泛地采用。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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