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Applying Nutrient Expert system for rational fertilisation to tea (Camellia sinensis) reduces environmental risks and increases economic benefits

机译:应用营养专家系统对茶叶(Camellia Sinensis)降低了环境风险并提高了经济效益

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摘要

The overuse and unbalanced application of fertilisers have become common practices in the modern world, causing serious environmental problems and restricting tea growth and quality. Therefore, a scientific and rational fertilisation recommendation method should be developed to solve these problems. In this study, fertilisation datasets collected from field experiments (n = 548) in tea-producing areas (n = 21) from 2016 to 2020 were used to build (n = 492) and validate (n = 56) the Nutrient Expert (NE) system for tea. The field validation results indicated that the NE system significantly increased tea yield, quality, economic benefits, and nitrogen (N) use efficiency, as well as decreased greenhouse gas (GHG) emissions. Compared with current farmers' practice (FP), NE reduced fertiliser sourced N, phosphorus (P), and potassium (K) application rates by 28%, 25%, and 20%, respectively. On average, NE increased tea yields by 14.0% and 9.3% relative to FP and soil testing (ST). The total concentration of free amino acids, which is one of the most important indexes of green tea quality, were highest in the NE treatment. The net economic benefits of NE increased by 20.0% and 12.6% relative to FP and ST. NE also increased the N utilisation efficiency of tea shoots by 87.0% and 85.3% compared to FP and ST, respectively. Moreover, NE reduced total GHG emissions by 27.7% and 9.6% compared to FP and ST. These results suggest that fertiliser recommendations based on the NE system can increase economic benefits and reduce environmental risks by avoiding excessive fertilisation to maintain sustainable agriculture. (c) 2021 Elsevier Ltd. All rights reserved.
机译:过度使用和不平衡肥料的应用已成为现代世界的常见做法,造成严重的环境问题并限制茶叶增长和质量。因此,应制定科学和合理的施肥推荐方法来解决这些问题。在本研究中,从2016年至2020年从现场实验(n = 548)中从现场实验(n = 548)中收集的受精数据集用于构建(n = 492)并验证(n = 56)营养专家(NE )茶系统。现场验证结果表明,NE系统显着提高了茶叶产量,质量,经济效益和氮气(N)使用效率,以及减少的温室气体(GHG)排放。与目前农民的实践(FP),NE降低肥料源N,磷(P)和钾(K)施用率分别分别为28%,25%和20%。平均而言,相对于FP和土壤检测(ST),NE茶率增加14.0%和9.3%。游离氨基酸的总浓度是NE治疗中最重要的绿茶质量指标之一。 NE的净经济益处相对于FP和ST增加了20.0%和12.6%。与FP和ST分别增加了87.0%和85.3%的茶叶的N利用效率。此外,与FP和ST相比,NE将温室气体排放量减少了27.7%和9.6%。这些结果表明,基于NE系统的化肥推荐可以通过避免过度施肥来维持可持续农业,提高经济效益,降低环境风险。 (c)2021 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2021年第10期|127197.1-127197.10|共10页
  • 作者单位

    Zhejiang Univ Coll Environm & Resource Sci Zhejiang Prov Key Lab Agr Resources & Environm Hangzhou 310058 Peoples R China;

    Zhejiang Univ Coll Environm & Resource Sci Zhejiang Prov Key Lab Agr Resources & Environm Hangzhou 310058 Peoples R China;

    Zhejiang Univ Coll Environm & Resource Sci Zhejiang Prov Key Lab Agr Resources & Environm Hangzhou 310058 Peoples R China;

    Zhejiang Univ Coll Environm & Resource Sci Zhejiang Prov Key Lab Agr Resources & Environm Hangzhou 310058 Peoples R China;

    Zhejiang Univ Coll Environm & Resource Sci Zhejiang Prov Key Lab Agr Resources & Environm Hangzhou 310058 Peoples R China;

    Zhejiang Univ Coll Environm & Resource Sci Zhejiang Prov Key Lab Agr Resources & Environm Hangzhou 310058 Peoples R China;

    Zhejiang Univ Coll Environm & Resource Sci Zhejiang Prov Key Lab Agr Resources & Environm Hangzhou 310058 Peoples R China;

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

    Fertiliser recommendation; Nutrient expert system; Economic benefit; Environmental risk; Tea quality; Productivity;

    机译:肥料推荐;营养专家系统;经济效益;环境风险;茶品质;生产力;

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