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Bases for pesticide dose expression and adjustment in 3D crops and comparison of decision support systems

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 806, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2021.150357

关键词

LAI; Leaf deposition; Precision crop protection; Fruit orchards; Vineyards; Wall crops

资金

  1. EU Horizon 2020 project EUCLID [633999]
  2. Spanish Ministry of Economy and Competitiveness project AgVance [AGL2013-48297-C2-2-R]
  3. Spanish Ministry of Agriculture, Fisheries and Food project GOPHYTOVID [2018002001192]
  4. Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya under Grant [2017 SGR 646]

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Authorities worldwide are committed to limiting chemical pesticide use through strategies like reducing doses. Different dose expression models and decision support systems exist for high growing crops, with LWA and TRV models being proposed by EPPO for pre-registration trials. Total leaf area is crucial for dose adjustment, while sprayer efficiency is also important. Recommendations for reporting deposition on leaves and promoting the use of DSSs for rational decision making are made.
Authorities around the world have committed to limiting the use of chemical pesticides by reducing doses, among other strategies. Nevertheless, different dose expression models and decision support systems (DSSs) for dose adjustment coexist for high growing crops (3D crops). Among them, leaf wall area (LWA) and tree row volume (TRV) models have recently been proposed by the European and Mediterranean Plant Protection Organization (EPPO) for pre-registration trials. In this paper, the background and technical bases of six dose adjustment DSSs in fruit crops (PACE, AGMET, DOSA3D, OMAX and PULVARBO) and four in grape orchards (AGMET, OPTIDOSE, DOSAVINA and DOSA3D) are described and compared. The discussion leads to the conclusion that LWA and TRV represents a substantial improvement compared to the former crop ground area-based dose expression model. However, total leaf area is the most important parameter for dose adjustment, while sprayer efficiency is also a key factor. Additionally, it is suggested that deposition on leaves (mean values and variability) should be reported in pesticide efficacy evaluations in order to establish the required doses independently from the dose expression mode. The DOSA3D system, based on leaf area index estimation, was found to be the most conservative DSS regarding the spraying volume ratio to TRV because low spraying efficiencies are considered. Instead, AGMET was found to be the most effective for dose adjustment. However, despite the differences between the recommendations, all the analysed DSSs are useful tools for rational decision making about spraying volume rate and pesticide doses at national level. Their use should be promoted by the competent authorities. (c) 2021 Elsevier B.V. All rights reserved.

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