Owen Cashman , Imelda Casey , Marion Sorley , Patrick Forrestal , David Styles , David Wall , William Burchill , James Humphreys
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引用次数: 0
Abstract
CONTEXT
Lowering greenhouse gas (GHG) and ammonia emissions from ruminant production systems is critical to mitigating climate change and enrichment and acidification of vulnerable habitats. Quantifying emission reductions from the implementation of best practices (BP) on grassland-based dairy systems is essential to guide farmers and policy towards wider adoption of best practices.
OBJECTIVE
The aim was to evaluate the extent to which the adoption of BP lowered the GHG and ammonia emissions of grassland-based dairy systems per kg of fat protein corrected milk (FPCM) and per hectare (ha).
METHODS
Life cycle assessment was used to calculate emissions from systems of dairy production adopting BP. Data were collected from 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 and an average annual stocking rate of 2.53 cows ha−1. INT was the control 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 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. All relevant farm activity data was modelled on the basis of a 59 ha farm.
RESULTS AND CONCLUSIONS
GHG emissions averaged 1.05, 0.80 and 0.73 kg CO2e kg FPCM−1 (SEM=0.035, P<0.001) for INT, BPN and BPO respectively. GHG emissions per hectare were 15.0, 11.5 and 10.7 t CO2e (SEM=0.485, P<0.001). Ammonia emissions were lower from BPN and BPO compared with INT (P < 0.001). Replacing artificial fertiliser N with biologically fixed N (BFN) had the largest impact on GHG mitigation. Low emissions slurry spreading (LESS) in the form of the trailing shoe and replacing artificial fertiliser N with BFN had the greatest impact on ammonia emissions.
SIGNIFICANCE
Adopting BP lowered GHG emissions by up to 29 % and ammonia emissions by up to 37 % compared with a conventional intensive system of grassland-based milk production. These results can aid farmers to contribute to emissions reduction targets.
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.