Relative performance on test and target plants in laboratory tests predicts the risk of non-target attack in the field for arthropod weed biocontrol agents

被引:41
|
作者
Paynter, Quentin [1 ]
Fowler, Simon V. [2 ]
Gourlay, A. Hugh [2 ]
Peterson, Paul G. [3 ]
Smith, Lindsay A. [2 ]
Winks, Chris J. [1 ]
机构
[1] Landcare Res, Auckland, New Zealand
[2] Landcare Res, Lincoln, New Zealand
[3] Landcare Res, Palmerston North, New Zealand
关键词
Non-target attack; Host-range testing; Specificity; Risk assessment; Host selection; BIOLOGICAL-CONTROL AGENT; NEW-ZEALAND WEED; GORSE POD MOTH; HOST-RANGE; FLEA BEETLE; COLEOPTERA-CHRYSOMELIDAE; PHYTOMYZA-VITALBAE; CLEMATIS-VITALBA; CANADA THISTLE; NORTH-AMERICA;
D O I
10.1016/j.biocontrol.2014.10.007
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
We tested the hypothesis that quantifying the relative performance of candidate weed biocontrol agents on test and target plants during laboratory host-range testing can predict the probability of test plants being attacked in the field. For arthropod weed biocontrol agents established in New Zealand between 1929 and 2010, the probability of host use was positively correlated with relative performance for both no-choice starvation tests and no-choice oviposition tests. Moreover, multiplying together the relative performance scores for no-choice starvation and oviposition tests to create a combined risk score for no-choice tests resulted in a clear-cut threshold indicating that for scores between 0.21 and 0.33 the probability of host use (including minor spillover attack) occurring rose from close to zero to a virtual certainty. Choice oviposition test data showed a similar pattern to no-choice data, except there were two cases where host use occurred in the field on plant species that had very low relative performance scores in the choice tests. Both of these cases were associated with asynchrony between seed-feeding biocontrol agent activity and the reproductive phenology of the target plant, indicating that choice tests may be inappropriate for certain guilds of biocontrol agent that attack ephemeral plant structures. We conclude that quantitative laboratory testing data can help predict risk of non-target attack. The ability to refer to threshold relative performance scores when deciding whether an agent is safe to release has the potential to ensure fewer environmentally safe candidate biocontrol agents are erroneously rejected, thereby enhancing efficiency in the selection and approval of new agents. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:133 / 142
页数:10
相关论文
共 19 条
  • [1] Safety in New Zealand weed biocontrol: A nationwide survey for impacts on non-target plants
    Paynter, QE
    Fowler, SV
    Gourlay, AH
    Haines, ML
    Harman, HM
    Hona, SR
    Peterson, PG
    Smith, LA
    Wilson-Davey, JA
    Winks, CJ
    Withers, TM
    [J]. New Zealand Plant Protection, Vol 57, 2004, : 102 - 107
  • [2] Calibration of laboratory derived indices for non-target arthropod risk assessment with field data for plant protection products
    Bakker, Frank
    Aldershof, Saskia
    Braaker, Sonja
    Dinter, Axel
    Elston, Charlotte
    Kroder, Stefan
    Mayer, Christoph-Julian
    Pilling, Ed
    Neumann, Paul
    [J]. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2022, 235
  • [3] Extrapolating non-target risk of Bt crops from laboratory to field
    Duan, Jian J.
    Lundgren, Jonathan G.
    Naranjo, Steve
    Marvier, Michelle
    [J]. BIOLOGY LETTERS, 2010, 6 (01) : 74 - 77
  • [4] Predicting the risk of non-target damage to a close relative of a target weed using sequential no-choice tests, paired-choice tests and olfactory discrimination experiments
    Sutton, G. F.
    Paterson, I. D.
    Compton, S. G.
    Paynter, Q.
    [J]. BIOCONTROL SCIENCE AND TECHNOLOGY, 2017, 27 (03) : 364 - 377
  • [5] Relative risk scores generated from laboratory specificity tests predict non-target impacts of Microctonus spp. parasitoids in the field
    Paynter, Quentin
    Barton, Diane M.
    Ferguson, Colin M.
    Barratt, Barbara I. P.
    [J]. BIOLOGICAL CONTROL, 2022, 170
  • [6] Potential use of an arthropod database to support the non-target risk assessment and monitoring of transgenic plants
    Jörg Romeis
    Michael Meissle
    Fernando Álvarez-Alfageme
    Franz Bigler
    David A. Bohan
    Yann Devos
    Louise A. Malone
    Xavier Pons
    Stefan Rauschen
    [J]. Transgenic Research, 2014, 23 : 995 - 1013
  • [7] Potential use of an arthropod database to support the non-target risk assessment and monitoring of transgenic plants
    Romeis, Joerg
    Meissle, Michael
    Alvarez-Alfageme, Fernando
    Bigler, Franz
    Bohan, David A.
    Devos, Yann
    Malone, Louise A.
    Pons, Xavier
    Rauschen, Stefan
    [J]. TRANSGENIC RESEARCH, 2014, 23 (06) : 995 - 1013
  • [8] Laboratory tests to estimate the non-target impacts of four Aphidius spp. parasitoids in the field
    Paynter, Quentin
    Teulon, David
    [J]. BIOLOGICAL CONTROL, 2019, 133 : 41 - 49
  • [9] Recommendations for the design of laboratory studies on non-target arthropods for risk assessment of genetically engineered plants
    Romeis, Joerg
    Hellmich, Richard L.
    Candolfi, Marco P.
    Carstens, Keri
    De Schrijver, Adinda
    Gatehouse, Angharad M. R.
    Herman, Rod A.
    Huesing, Joseph E.
    McLean, Morven A.
    Raybould, Alan
    Shelton, Anthony M.
    Waggoner, Annabel
    [J]. TRANSGENIC RESEARCH, 2011, 20 (01) : 1 - 22
  • [10] Recommendations for the design of laboratory studies on non-target arthropods for risk assessment of genetically engineered plants
    Jörg Romeis
    Richard L. Hellmich
    Marco P. Candolfi
    Keri Carstens
    Adinda De Schrijver
    Angharad M. R. Gatehouse
    Rod A. Herman
    Joseph E. Huesing
    Morven A. McLean
    Alan Raybould
    Anthony M. Shelton
    Annabel Waggoner
    [J]. Transgenic Research, 2011, 20 : 1 - 22