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Nitrogen and carbon footprints of dairy farm systems in China and New Zealand, as influenced by productivity, feed sources and mitigations

机译:中国和新西兰奶牛场系统的氮气和碳足迹,受生产率,饲料源和减轻的影响

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摘要

Three dairy farm systems in China and in New Zealand (NZ) varying in intensity based on level of use of brought-in crop feeds were selected from surveyed data. Nitrogen (N) emissions were estimated using country-specific N and life cycle assessment models. Milk production per cow increased with increased use of grain-based feeds but there was no whole-system difference in energy and land use resource efficiency. The N footprint (Sigma reactive-N emissions kg(-1) milk for cradle-to-farm-gate) was 1.3-2.3 times higher for the housed-cow Chinese farm systems than the year-round pasture-grazing NZ farm systems, associated with greater emissions of all forms of reactive-N. The N footprint decreased with increased feed use and milk production in both countries, mainly due to decreased ammonia emissions. There were similar trends in carbon (C) footprint (total greenhouse gas emissions) of milk, except within NZ where there was no change with feeding level. In NZ, the N loss to water kg(-1) milk increased due to the contribution from feed crops. The source of feed was an important determinant of environmental impacts, and changing to low N-footprint feeds decreased the N footprint of milk by up to 10% in both countries. However, manure management was the dominant contributor to the N footprint for all farms, and particularly in China. Mitigation analysis of Chinese farm systems showed the potential to decrease the N footprint of milk by over 30% with improved manure management practices, particularly from utilizing manure that is currently discharged. The largest mitigation potential (up to -25%) in NZ was from ceasing N fertilizer use on pasture and relying on clover N-2 fixation. Scenario analysis for late-autumn/winter housing of cows in NZ decreased N loss to water but greatly increased ammonia emissions, resulting in an increase in N and C footprints of up to 21%. Thus, Chinese dairy farms can improve environmental efficiency through sourcing low-impact feeds, improved manure management and integrating manure recycling with feed crops. In contrast, NZ farms can improve environmental efficiency through efficient use of grazed legume-based pastures rather than using crop-feeds or cow housing systems.
机译:从调查数据中选择了三个中国和新西兰和新西兰(NZ)的三个乳制品农场系统的强度不同,从调查数据中选择了带入作物饲料水平的强度。使用特定国家的N和生命周期评估模型估计氮气(n)排放。每牛的牛奶产量增加了利用谷物饲料的使用增加,但能量和土地利用资源效率没有全系统差异。 N个脚印(Sigma Reactive-n排放KG(-1)牛奶为摇篮到农场门)比全年牧场地雷NZ农场系统的母牛中国农场系统更高1.3-2.3倍。与所有形式的反应性的更大的排放相关联。在两国的饲料用量和牛奶生产增加,N个足迹随着氨的排放量减少而导致的。碳(c)剩余额度(C)足迹(总温室气体排放量)存在类似的趋势,除了NZ内,没有喂养水平没有变化。在新西兰,由于饲料作物的贡献,N损失kg(-1)牛奶增加。饲料来源是对环境影响的重要决定因素,并且在两种国家的牛奶中的额度较低,在两国均多增加了10%。然而,粪便管理是所有农场的N个足迹的主要贡献者,特别是在中国。中国农场系统的缓解分析表明,随着粪便管理实践的改善,特别是利用目前排放的粪便,潜力将牛奶的N次额度减少30%以上。 NZ中最大的缓解潜力(高达-25%)是在牧场上停止肥化肥,依赖于三叶草N-2固定。 NZ中秋季/冬季住房的情景分析降低了水的损失,但大大增加了氨排放,导致N和C足迹增加,高达21%。因此,中国乳制品农场可以通过采购低抗冲饲料,改善粪便管理和与饲料作物的粪便融合来改善环境效率。相比之下,NZ农场可以通过有效地利用基于豆类的牧场而不是使用作物饲料或牛住房系统来提高环境效率。

著录项

  • 来源
    《Agricultural Water Management》 |2019年第2019期|共9页
  • 作者单位

    AgRes Ruakura Res Ctr Private Bag 3123 Hamilton 3240 New Zealand;

    China Agr Univ MOE Key Lab Plant Soil Interact Beijing 100193 Peoples R China;

    Northwest Agr &

    Forestry Univ Coll Nat Resources &

    Environm Yangling 712100 Shaanxi Peoples R China;

    AgRes Ruakura Res Ctr Private Bag 3123 Hamilton 3240 New Zealand;

    Chinese Acad Sci Inst Genet &

    Dev Biol Ctr Agr Resources Res Key Lab Agr Water Resources Shijiazhuang 050021 Hebei Peoples R China;

    Chinese Acad Sci Inst Genet &

    Dev Biol Ctr Agr Resources Res Key Lab Agr Water Resources Shijiazhuang 050021 Hebei Peoples R China;

    Chinese Acad Sci Inst Genet &

    Dev Biol Ctr Agr Resources Res Key Lab Agr Water Resources Shijiazhuang 050021 Hebei Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业工程;
  • 关键词

    Ammonia; Crop feeds; Dairy; Greenhouse gases; Nitrate; Nitrogen emissions;

    机译:氨;作物饲料;乳制品;温室气体;硝酸盐;氮气排放;
  • 入库时间 2022-08-20 01:01:24

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