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Using DNA metabarcoding to assess insect diversity in citrus orchards.

Chenxi LiuMuhammad AshfaqYanfang YinYanjuan ZhuZhen WangHongmei ChengPaul D N Hebert
Published in: PeerJ (2023)
= 0.19-0.20). Comparison of BIN records against all those on BOLD made it possible to identify 40% of the BINs to a species, 57% to a genus, 97% to a family and 99% to an order. BINs which received a species match on BOLD were placed in one of four categories based on this assignment: pest, parasitoid, predator, or pollinator. As this study provides the first baseline data on insect biodiversity in Chinese citrus plantations, it is a valuable resource for research in a broad range of areas such as pest management and monitoring beneficial insects in citrus gardens.
Keyphrases
  • resting state
  • aedes aegypti
  • electronic health record
  • functional connectivity
  • single molecule
  • machine learning
  • genetic diversity