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Intraspecific Variation in Levels of Pesticide Resistance In Field Populations of a Parasitoid, Aphytis melinus (Hymenoptera: Aphelinidae): The Role of Past Selection Pressures JAY A. ROSENHEIM ANDMARJORIE A. HOY Department of Entomological Sciences, University of California, Berkeley, California 94720 FORUM: J. Econ.Entomol. 79: 1161-1173 (1986) ABSTRACT Thirteen populations of Aphytis melinus DeBach, a key biological control agent of California red scale, Aonidie/la aurantii (Maskell),were collected from the citrus- growing regions of California. Each population's history of exposure to insecticides was estimated by determining history of insecticide use at both local (in-grove) and regional (county-wide) geographical scales. Concentration/mortality regressions for five insecticides widely used in citrus were estimated for the populations. For each chemical, substantial variability existed in the responsesof different populations. LC",,'swere correlated with both in-grove and county-wide pesticide use histories; patterns of variability were best explained by results of a multiple regression analysis that combined the influences of these two histories. Roles of food limitation, migration, and host distribution in determining patterns and rates of evolution of pesticide resistance in arthropod biological control agents are discussed. KEY WORDS Aonidie/la aurantii, Aphytis melinus, biological control, citrus, integrated pest management, intraspecific variation, pesticide resistance PRACTITIONERSOF integrated pest management (IPM) in agricultural cropping systems may em- ploy a diverse array of tactics to control noxious organisms. Many of these tactics may be grouped under the categories of biological control, chemi- cal control, cultural control, and plant resistance. Most of these approaches are compatible; thus, bi- ological control, cultural control, and the use of plant resistance may, with certain noteworthy ex- ceptions (e.g., Campbell & Duffey 1979, Herzog & Funderburk 1985), be combined to good effect, as may chemical control, cultural control, and plant resistance. This mutual compatibility does not, however, often extend to biological and chemical control. The application of broad-spectrum insecticides frequently disrupts the action of arthropod biolog- ical control agents, with resulting pest resurgences and secondary pest outbreaks (Bartlett 1964, De Bach 1974) (Fig. 1). This disruption may be due either to a direct toxic effect on predators and parasitoids, whose susceptibility to insecticides is often greater than that of the associated pest species (Croft & Brown 1975), or to an indirect effect via starvation, emigration, or lack of hosts after the reduction of the pest population by the pesticide (Huffaker 1971, Newsom 1974, Powell et al. 1985) (Fig. 1). This incompatibility represents a serious handicap in the development of sound IPM pro- grams. Attempts to overcome this handicap have taken several forms. One is the use of chemicals in an ecologically selective manner (Hull & Beers 1985). Another is the use of materials with a physiological selectivity based upon either natural tolerance or evolved resistance of the biological control agent (Mullin & Croft 1985). The evolution of resistance in beneficial arthropods through natural selection in the field and artificial selection in the laboratory has recently been documented, and such resistant natural enemies have been successfully incorpo- rated into IPM programs (Croft & Strickler 1983, Hoy 1985a). Aphytis melinus DeBach is the major biological control agent of the California red scale, Aonid- iella aurantii (Maskell), in California and in many other citrus-growing regions of the world (Rosen & DeBach 1979), Although the degree of control exerted by A. melinus ranges from partial to com- plete in the different citrus-growing regions of California, its effectiveness in all these regions is severely impeded by the use of insecticides (DeBach et al. 1971, Bellows et al. 1985, Griffiths et al. 1985). Chemicals commonly applied for con- trol of A. aurantii and other key pests of citrus not under biological control, including the citrus thrips, Scirtothrips citri (Moulton), and several lepidop- teran species, are toxic to A. melinus (University of California, Statewide IPM Project 1984; Morse & Bellows 1986), resulting in the destruction of resident populations and hindering programs of augmentative releases of insectary-reared parasit- oids. Our study was done to investigate whether A. 1161
Transcript
  • Intraspecific Variation in Levels of Pesticide Resistance InField Populations of a Parasitoid, Aphytis melinus

    (Hymenoptera: Aphelinidae): The Role ofPast Selection Pressures

    JAY A. ROSENHEIM ANDMARJORIE A. HOY

    Department of Entomological Sciences, University of California,Berkeley, California 94720

    FORUM:J. Econ.Entomol.79: 1161-1173 (1986)ABSTRACT Thirteen populations of Aphytis melinus DeBach, a key biological controlagent of California red scale, Aonidie/la aurantii (Maskell),were collected from the citrus-growing regions of California. Each population's history of exposure to insecticides wasestimated by determining history of insecticide use at both local (in-grove) and regional(county-wide) geographical scales. Concentration/mortality regressions for five insecticideswidely used in citrus were estimated for the populations. For each chemical, substantialvariability existed in the responsesof different populations. LC",,'swere correlated with bothin-grove and county-wide pesticide use histories; patterns of variability were best explainedby results of a multiple regression analysis that combined the influencesof these two histories.Roles of food limitation, migration, and host distribution in determining patterns and ratesof evolution of pesticide resistance in arthropod biological control agents are discussed.

    KEY WORDS Aonidie/la aurantii, Aphytis melinus, biological control, citrus, integratedpest management, intraspecific variation, pesticide resistance

    PRACTITIONERSOF integrated pest management(IPM) in agricultural cropping systems may em-ploy a diverse array of tactics to control noxiousorganisms. Many of these tactics may be groupedunder the categories of biological control, chemi-cal control, cultural control, and plant resistance.Most of these approaches are compatible; thus, bi-ological control, cultural control, and the use ofplant resistance may, with certain noteworthy ex-ceptions (e.g., Campbell & Duffey 1979, Herzog& Funderburk 1985), be combined to good effect,as may chemical control, cultural control, and plantresistance. This mutual compatibility does not,however, often extend to biological and chemicalcontrol.

    The application of broad-spectrum insecticidesfrequently disrupts the action of arthropod biolog-ical control agents, with resulting pest resurgencesand secondary pest outbreaks (Bartlett 1964,De Bach 1974) (Fig. 1). This disruption may be dueeither to a direct toxic effect on predators andparasitoids, whose susceptibility to insecticides isoften greater than that of the associated pest species(Croft & Brown 1975), or to an indirect effect viastarvation, emigration, or lack of hosts after thereduction of the pest population by the pesticide(Huffaker 1971, Newsom 1974, Powell et al. 1985)(Fig. 1). This incompatibility represents a serioushandicap in the development of sound IPM pro-grams.

    Attempts to overcome this handicap have takenseveral forms. One is the use of chemicals in an

    ecologically selective manner (Hull & Beers 1985).Another is the use of materials with a physiologicalselectivity based upon either natural tolerance orevolved resistance of the biological control agent(Mullin & Croft 1985). The evolution of resistancein beneficial arthropods through natural selectionin the field and artificial selection in the laboratoryhas recently been documented, and such resistantnatural enemies have been successfully incorpo-rated into IPM programs (Croft & Strickler 1983,Hoy 1985a).

    Aphytis melinus DeBach is the major biologicalcontrol agent of the California red scale, Aonid-iella aurantii (Maskell), in California and in manyother citrus-growing regions of the world (Rosen& DeBach 1979), Although the degree of controlexerted by A. melinus ranges from partial to com-plete in the different citrus-growing regions ofCalifornia, its effectiveness in all these regions isseverely impeded by the use of insecticides(DeBach et al. 1971, Bellows et al. 1985, Griffithset al. 1985). Chemicals commonly applied for con-trol of A. aurantii and other key pests of citrus notunder biological control, including the citrus thrips,Scirtothrips citri (Moulton), and several lepidop-teran species, are toxic to A. melinus (Universityof California, Statewide IPM Project 1984; Morse& Bellows 1986), resulting in the destruction ofresident populations and hindering programs ofaugmentative releases of insectary-reared parasit-oids.

    Our study was done to investigate whether A.

    1161

  • 1162 FORUM: JOURNAL OF ECONOMIC ENTOMOLOGY Yol. 79, no. 5

    TYPE OFARTHROPODPOPULATION

    I Pesticide is ecologically I II selective to population, IPROXIMATE EFFECTI121; population is naturally I OF PESTICIDE II tolerant, Q[ population I APPllCA TION IIhas evolved resistance. I I

    Ul TIMA TE EFFECTSOF PESTICIDE APPLICATION

    A)I TARGET PEST ~ DEATH 1----~.-11.Suppression of target pest population. I

    Continued biological control.

    Probable outbreak of secondary pesl. I

    2. Possible resurgence of secondary pest.

    3. Collapse 01 biological control agentpopulation due to lack of hosts or prey(i.e. food limitation, assuming noalternate hosts).Possible resurgence 01 secondary pesl.

    DEATH

    DEATH

    SURVIVAL" 't-" /\',.1...../ '-~\'~'-'+I4./ "/ ...-----: . ---+15.SURVIVAL

    C) BIOLOGICALCONTROL AGENT

    B) SECONDARY PEST(Host/Prey of (C

    !/ Only pesticides thet ere ellectlve In killing the target pest are employed, hence the,e Is no yes option. (Some IPMprograms do, howeve" use allective chemicals at 'ates Intanded to kill only a p,oportion 01 the target peat populetion.)

    Fig. 1. Some proximate .and ~ltimate effects of pesticide applications on the ecology of arthropod parasitoidjhost and predator jprey relatIonshIps:secondary pest resurgences and outbreaks due to the direct effects of pesticidetoxicity and t~e indirect effects ?f food limitation on biological control agents. (For purposes of explanation, wepresent scenanos ~here populat.lOnsshow either 100% mortality or 100% survival; these outcomes represent thetwo ends of a contmuum of pOSSibleresponses.Outcomes that are intermediate to both the proximate and ultimateeffects listed may occur.)

    melinus has evolved increased levels of resistancein response to the selective pressures exerted bythe use of insecticides. We determined if variabil-ity existed in the resistance levels of different fieldpopulations of A. melinus, and ascertained if arelationship existed between these resistance levelsand the previous insecticide use in the localitieswhere the colonies were collected. Finally, weconsidered the roles of food limitation, migration,and host distribution in determining patterns andrates of the evolution of pesticide resistance in A.melinus.

    Materials and Methods

    Colony Collection and Maintenance. In Octo-ber 1984, 11 populations of A. melinus were col-lected from the major citrus-growing regions ofCalifornia (Fig. 2) by two techniques: I) citrusfruits bearing parasitized A. aurantii were col-lected, and 2) trap fruits (lemons infested with A.aurantii in the laboratory) were placed in citrustrees to elicit oviposition by A. melinus. Both tech-niques were used at each collection site. In siteswith heavy infestations of A. aurantii, the collec-tion of scale-bearing citrus fruits generally yieldedthe greater number of parasitoids, whereas in siteswith light infestations use of the trap fruits wasthe more effective approach. The number of field-collected parasitoids used to initiate each colonyvaried from 42 to 1,560 (average = 415). The

    number of generations (ca. 0-4) required for pop-ulations to adapt to laboratory conditions and at-tain a normal rate of increase varied. During thisperiod of adaptation the effective population sizemay have been substantially less than the total adultpopulation. In addition to the 11 colonies collectedas described above, 2 colonies, 1 collected inVentura County in February 1983 (population 10),and the other a long-term laboratory colony (pop-ulation 13), were provided by T. S. Bellows andR. F. Luck (Division of Biological Control, Uni-versity of California, Riverside), respectively, fortesting. Voucher specimens from each colony wereconfirmed as A. melinus by D. Rosen, HebrewUniversity, Rehovot, Israel.

    Colonies were maintained in the laboratory at26 2C, 70 10% RH, and a photoperiod of16:8 (L:D) on a uniparental strain of oleander scale,Aspidiotus nerii Bouche, that was grown at 24 1C on pink banana squash, Cucurbita maximaDuchesne, under constant darkness. This reaTingtechnique was adapted from that described byDeBach & White (1960). Undiluted honey wasprovided in cages as a carbohydrate source for A.melinus.

    Bioassays. Adult male and female A. melinus(0-48 h old) were collected for testing with pes-ticides by placing squash bearing parasitized scalein an emergence cage similar to that described byAbdelrahman (1973). The cage consisted of a sealedplastic garbage can with 12 holes drilled in the

  • October 1986 ROSENHEIM& Hoy: PESTICIDERESISTANCEVARIATIONIN A. melinus 1163

    Fig. 2. Distribution of commercial citrus in Cali-fornia. Each dot represents 405 ha. Numbered circlesare collection sites for A. melinus colonies.

    cover. Each of these holes was filled with a glasstest-tube (12 by 75 mm) containing streaks of hon-ey. By illuminating from above, we then drew theparasitoids, which are positively phototropic andnegatively geotropic, into the tubes, where theywere harvested. Cages were emptied and cleanedevery 48 h to provide parasitoids that were 0-48hold.

    Concentration/mortality data were generated byconfining between 10 and 20 adult parasitoids ina treated disposable plastic cup (30 ml) cappedwith untreated polyester gauze upon which undi-luted honey was provided. The cups were treatedby dipping them for 5 s into insecticide solutionsformulated in distilled water with a spreader (0.1%Triton AG-98). Cups were drained onto papertoweling and air dried. Three materials widely usedfor California red scale control (carbaryl [Sevin 80sprayable], malathion [Malathion 25 spray able], andmethidathion [Supracide 2 emulsifiable concen-trate]), one material used for thrips control (di-methoate [Cygon 400]), and one material used forcontrol of both California red scale and a complexof lepidopterous pests (chlorpyrifos [Lorsban 4emulsifiable concentrate]) were tested.

    At least five concentrations and a water / spread-er control were tested for each chemical. Vials wereheld at 26 1C, 87% RH, and a 16:8 photoperiodfor 24 h before the tests were scored. Individualswere considered dead if they were unable to main-tain a normal posture or walk normally, coveringat least 1 mm/s. With a given chemical, all pop-ulations were tested simultaneously. Each test was

    repeated on at least three different days for a totalof 4-18 replicates per concentration.

    Data were analyzed by probit analysis with thePOLO computer program (Russell et al. 1977).Hypotheses of parallelism (equal slopes) andequality (equal slopes and intercepts) were testedwith likelihood-ratio tests (Savin et al. 1977). Pop-ulations were considered to have different toler-ances if the hypothesis of equality was rejected(a= 0.05).

    Pesticide Use Histories. To investigate the re-lationship of past exposure to insecticides to ob-served population resistance levels, we investigat-ed each population's history of insecticide exposure.(Population 13, a laboratory colony, was not in-cluded in this analysis.) This was done indirectlyby assessing 1) the past use of insecticides in thegrove from which the colony was collected (thelocal or in-grove pesticide use) during the 5-yearperiod (1980-84) and 2) the past use of insecticidesin citrus groves in the surrounding areas (the re-gional or county-wide pesticide use) for the sameperiod.

    In-grove and county-wide pesticide use historieswere obtained from individual growers and theCalifornia Department of Food and Agriculture,Division of Pest Management (unpublished rec-ords, Sacramento, Calif.), respectively. We as-sumed that results of these 5-year surveys wouldapproximate the relative overall levels of historicalpesticide use not only for 1980-84, but for an ear-lier period of time as well, during which A. meli-nus was present in California; the groves sampledwere mature and had been under single ownershipfor more than the 5-year period surveyed. Also,patterns of pesticide use were consistent over timein those groves for which more extensive historieswere available.

    The influences of in-grove and county-wide pes-ticide use were evaluated both independently andin combination using bivariate (one independentvariable) and multiple (two independent vari-ables) regression analysis from the SPSS' computerstatistical package (SPSS 1986, 662-686). Forregressions involving tolerances to organophospho-rus (OP) insecticides, the local and regional histo-ries of total OP use were the independent vari-ables. For regressions involving tolerances tocarbaryl, the corresponding histories of carbamateinsecticide use were used. Insecticides of the sameclass (OP or carbamate) were combined in thismanner in an attempt to include the possible ef-fects of cross-resistance.

    An index of overall resistance of each colonywas calculated relative to that of colony 1. Eachcolony's LC50 for an insecticide was divided bythat of colony 1. A similar ratio was calculated foreach of the insecticides for which the colony wastested, and the ratios were totaled and averagedfor each colony. The resulting overall average rel-ative resistance values were then regressed againstthe total number of insecticide treatments applied

  • 1164 FORUM: JOURNAL OF ECONOMIC ENTOMOLOGY Vol. 79, no. 5

    to the grove from which the colony came, againstthe county-wide pesticide use, and against thecombined level of in-grove and county-wide pes-ticide use.

    Finally, for each chemical tested, we deter-mined whether the slope values of the concentra-tion/mortality regressions were linearly related to1) the associated LCoo's, 2) the selective pressureexperienced by the population (as estimated bythe sum total of the in-grove and county-wide pes-ticide use histories), or 3) the degree to which thelevel of in-grove pesticide use diverged from thatof the county (as estimated by subtracting the in-grove pesticide use value from the county-widepesticide use value).

    Results

    For each of the five insecticides tested, the con-centration/mortality regressions varied signifi-cantly among the A. melinus colonies (Table 1).The hypothesis of equality was rejected for mostpopulation comparisons for each chemical.

    The collection site characteristics and the in-grove and county-wide pesticide use histories forthe 13 colonies tested are shown in Table 2. Allbut two of the collection sites were commercialgroves. The species of Citrus chosen was generallythe one that was predominantly grown in the re-gion being sampled. The overall amounts of insec-ticides used varied widely, both regionally amongcounties (0.099-4.67 kg [AI]/ha per year), and lo-cally among groves (0-15 applications from 1980to 1984). No significant relationship between thetotal (carbamate plus OP) in-grove and county-wide insecticide use was found (r2 = 0.0012; P >0.25). Since A. melinus colonies were collectedfrom groves that were chosen for their varied his-tories of pesticide use, a lack of correlation wasexpected.

    The results of the regression analyses of the LCso's(Table 1) on the levels of past pesticide use (Table2) are shown in Table 3. The slopes of the signif-icant regressions were all positive, indicating apositive correlation between LCso's and levels ofpast pesticide use. Due in part to the small samplesize (7-11), the levels of significance associated withthe single independent variable correlations wereoften inadequate to draw strong conclusions. (Forthe eight nonsignificant regressions, 0.14 ~ P ~0.44.) However, when the influences of the twofactors, the in-grove and county-wide pesticide usehistories, were combined, the resulting regressionswere strong enough to be significant for three ofthe five chemicals tested (P ~ 0.10). (Due to thesmall sample sizes employed, a = 0.10 was used.Additional studies with larger sample sizes will benecessary to confirm these results and reduce theoverall risk of type I error.) This suggests that boththe in-grove and county-wide pesticide use are im-portant in accurately describing a population's his-tory of selection pressures.

    Table 1. Variation in concentration/mortality regres-sions of A. melinu. colonies collected from California ex-posed to residues of five insecticides

    Insec- Col- nO SI SEM LCso (95% CL)!icide ony ope in mg (AI)/liter

    Carbaryl (suggested field rateb: 960 mg [All/liter)7 1,182 3.22 0.20 15.4 (13.3-17.5)a8 1,061 3.42 0.22 17.9 (l5.8-20.1)b5 1,101 3.91 0.24 19.9 (l8.5-21.4)c

    1I 1,153 3.74 0.21 19.9 (18.1-21.8)cd4 983 4.27 0.25 23.5 (21.5-25.9)e3 498 3.10 0.30 24.0 (20.3-28.2)f1 648 4.28 0.42 27.9 (24.4-31.2)g

    Chlorpyrifos (suggested field rate: 450 mg [All/liter)7 427 2.70 0.26 0.78 (0.58-0.97)a

    1I 1,337 3.31 0.16 0.84 (0.76-0. 92)ab3 1,443 2.55 0.14 0.93 (0.81-1.06)c4 381 3.40 0.32 1.02 (0.87-1.20)d5 1,035 3.59 0.27 1.11 (0.98-1.23)de8 614 5.69 0.78 1.24 (1.01-1.40)f1 1,172 4.60 0.51 1.37 (1.l8-1.50)g2 255 2.42 0.33 1.43 (1.06-2.07)h

    Dlmelhoale (suggested field rate: 1,200 mg [All/liter)9 325 3.06 0.47 2.18 (1.26-2.85)a7 1,444 2.69 0.15 2.58 (2.19-2.96)b

    13 410 3.09 0.29 2.73 (2.25-3.20)bc10 1,168 2.28 0.13 2.73 (2.33-3. 15)d3 1,143 2.63 0.15 3.55 (3.02-4. 13)e2 438 2.65 0.29 3.62 (2.64-4.62)ef8 1,464 2.55 0.13 3.91 (3.40-4.46)ef

    12 196 2.70 0.37 3.95 (2.82-5.79)efg6 910 2.71 0.17 4.16 (3.57-4.79)fg4 1,244 2.72 0.17 4.46 (3.75-5.25)g1 435 2.67 0.49 6.36 (3.49-8.71)h

    Malathion (suggested field rate: 720 mg [All/liter)9 929 2.65 0.15 0.54 (0.45-0.63)a

    13 460 3.15 0.24 0.78 (0.57-0.99)b7 1,436 2.78 0.13 1.23 (1.09-1.37)c

    10 1,521 3.20 0.19 1.27 (1.l0-1.42)cd6 1,369 2.50 0.14 1.73 (1.50-1.98)e

    12 1,226 4.52 0.35 1.94 (1.72-2.15)f3 1,644 3.09 0.20 2.07 (1.84-2.28)g8 1,459 3.56 0.25 2.29 (1.99-2.57)hc

    1I 869 4.43 0.31 2.36 (2.07-2.67)h2 1,294 2.98 0.24 2.37 (2.02-2.70)h4 1,272 3.04 0.15 3.1I (2.69-3.58)i1 553 2.53 0.31 4.22 (3.33-5. 16)j

    Methidathion (suggested field rate: 300 mg [All/liter)9 1,102 2.38 0.14 0.44 (0.37-0.51)a6 1,093 2.43 0.16 2.07 (1.79-2.37)b8 1,121 2.45 0.15 2.30 (2.03-2.60)bc1 957 2.90 0.22 2.46 (2.13-2.81)cd5 776 2.80 0.24 2.54 (2.19-2.97)cd2 1,231 2.08 0.17 2.68 (2.16-3.23)&3 1,055 2.57 0.17 2.71 (2.32-3.15)de4 654 2.30 0.20 3.00 (2.54-3.58)e

    12 286 1.99 0.36 3.36 (1.76-7.90)e

    Concentration/mortality regressions followed by the same let-ter are not significantly different (a = 0.05; likelihood-ratio test[Savin et al. 1977]).

    o Natural mortality ranged from 0 to 8.8 1.9% and averaged2.2%.

    b Recommendations of the University of California CooperativeExtension citrus treatment guide (Morse & Bailey 1984).

    c The regression for colony 8 is not significantly different (a =0.05) from the regressions of colonies 1I or 2. However, theregression of colony 1I is significantly different from that of col-on12.

    The regression for colony 1 is not significantly different (a =0.05) from the regressions of colonies 5 or 3; likewise, the regres-sion for colony 3 is not significantly different from that of colony2. However, the regression for colony 2 is significantly differentfrom those of colonies 1 and 5.

  • October 1986 ROSENHEIM & Hoy: PESTICIDE RESISTANCE VARIATION IN A. melinus 1165

    t-

    o

    o

    oo

    o

    -

  • 1166 FORUM: JOURNAL OF ECONOMIC ENTOMOLOGY Vol. 79, no. 5

    c.9'5.D'1:

    ""0lI:l .000

    ."""go+1

    ." 0.10). Fig. 3C shows the expected values ofeach colony's overall average relative tolerance, aspredicted by the multiple regression equation, ver-sus the observed values of the same.

    Linear regression analysis showed that the slopesof the concentration/mortality regressions were notcorrelated with either the associated LC50's, thetotal pesticide use history, or the difference be-tween the in-grove and county-wide pesticide usehistories. The slopes of the regression lines variedfrom positive to negative for different chemicals,and the correlations were generally not significant(data not shown). The fact that the slopes of theprobit regressions were not positively correlatedwith their LCw's indicates that the intrapopulationvariation in resistance (i.e., change in response perunit increase of concentration) has not decreasedas the LCso's have increased in response to selec-tion pressures. This suggests that additional re-sponses to selection could occur.

  • ( = 0.372 + 0.024(;n-o,ove use) + 0.066(counly-wide useU

    1167

    -Fig. 3. Regression analyses of each colony's overallaverage relative tolerance on (A) its in-grove pesticideuse history, (B) its county-wide pesticide usehistory, and(C) both A and B simultaneously (multiple regression).See Table 2 for values plotted.

    1957 to 1960. Approximately 2.5 million insectary-reared parasitoids were released into 200 citrusplots; these parasitoids originated from a singleculture consisting of a mixture of four small col-lections made in Pakistan and India (DeBach 1959,DeBach & Landi 1959, DeBach & Sundby 1963).Since these initial introductions, the degree of re-sistance of A. melinus populations to the insecti-cides tested appears to have diverged. The mostsusceptible colony tested, colony 9, originated froma population that has been exposed to insecticidesonly minimally. This colony's in-grove pesticideuse history is known for the 21-year period, 1964-84, during which only four applications of broad-spectrum OP insecticides were made. In addition,this population is relatively isolated from other ex-tensive citrus plantings, suggesting that migrationof individuals from heavily sprayed areas into thispopulation may have been relatively low. The mostresistant colonies had LCso's up to 7.8-fold greaterthan that of this colony (Table 1). The evolutionof increased resistance to pesticides by A. melinusappears to represent an example of post releaseadaptation in a species introduced for classical bi-ological controL

    The evolutionary divergence of A. melinus pop-ulations also reflects evolutionary flexibility in pop-ulations that might have been expected to be rel-atively low in genetic variability. A. melinus is amember of the order Hymenoptera, which hasbeen found to display the least amount of electro-phoretically detected genetic variation of any ofthe insect orders (Graur 1985). Although withinthe Hymenoptera solitary wasps show a greaterlevel of average heterozygosity than do the socialspecies, they still exhibit less variation than non-hymenopteran orders (Graur 1985). Furthermore,A. melinus is a recently introduced species. Thegenetic variability of species introduced to a newarea as part of a biological control program maybe reduced by the limited numbers of individualscollected from the indigenous area, genetic driftand inadvertent selection during the processes ofquarantine and mass-rearing, and additional bot-tlenecks occurring during the release and coloni-zation of the new habitat (Messenger & van denBosch 1971, Hoy 1985b). It is unknown to whatextent, if any, the process of importing A. melinushas reduced the evolutionary flexibility of its Cal-ifornia populations .

    Previous ipvestigations of the evolution of resis-tance to insecticides among field populations ofparasitoids have yielded mixed results. Adams &Cross (1967) reported no significant difference be-

    1.0

    0.6

    Y 0.490 + 0.088

    ,2 0.38

    Y 0.548 + 0.025

    ,2 . 0.28

    ,2 0.62

    0.6

    0.4

    ROSENHEIM & Hoy: PESTICIDE RESISTANCE VARIATION IN A. melinus

    In-grove peltlclde use history

    County-wide pesticide use history

    0.2

    Combined in-grove and county-wide pesticide use index

    1.0 B

    "Eu0.'ii!..~~ 0.4'".~.;; ~ 0.2~0

    00

    1.0 C

    oo

    ~ 0.2

  • 1168 FORUM: JOURNAL OF ECONOMIC ENTOMOLOGY Vol. 79, no. 5

    tween the tolerances of three field and one labo-ratory colony of Bracan mellitor Say to five insec-ticides used on cotton. Similarly, Krukierek et al.(1975) failed to detect differences between the re-sponses to oxydemeton-methyl of two populationsof Trichagramma evanescens Westwood or twopopulations of T. minutum Riley. Strawn (1978)was unable to detect significant variation in theresponses of either adults of four field populationsof Comperiella bifasciata Howard or pupae of sixpopulations of A. melinus to four OP compounds.Likewise, no significant differences in levels of re-sistance to malathion were exhibited by seven fieldpopulations of Aphytis holoxanthus DeBach(Havron 1983).

    In contrast, Schoonees & Giliomee (1982) founda 5.7- and a 65.6-fold difference in levels of resis-tance to methidathion in two field populations ofAphytis african us Quednau and two field popu-lations of C. bifasciata, respectively. Strawn (1978)found significant interpopulation variation in re-sponse to parathion by C. bifasciata pupae and inthe tolerances of A. melinus adults to dimethoate,methidathion, and parathion. Unfortunately, be-cause Strawn's tests were performed using single-dose bioassays and because probit regressions werenot generated, further comparison of these resultswith ours is difficult. Finally, Hsieh (1984) founda ca. 2-fold difference between the tolerances ex-hibited by two field populations of Diaeretiellarapae (M'Intosh) to methomyl. Thus the increasein resistance levels exhibited by parasitoids pro-duced by natural selection in the field has variedfrom undetectable to substantial. In none of thesestudies, in which explicit comparisons of differentpopulations were made, was the increased level ofresistance adequate to enable adult parasitoids tosurvive field application rates of insecticides. Thepattern of evolution of resistance among parasit-oids clearly does not resemble the explosive emer-gence of resistance in pest species (Georghiou &Mellon 1983).

    Several possible explanations for this apparentrelative inability of parasitoids to develop resis-tance have been proposed. The evolution of resis-tance in field populations of parasitoids may oftengo unnoticed (Croft & Brown 1975). The differ-ential exposures of parasitoids relative to their hostsdue to morphological, behavioral, or ecological dif-ferences may lead to a greater effective toxicity(Georghiou 1972). Because parasitoids are ofteninitially less tolerant of pesticides than their hosts,a larger increase in tolerance may be required toachieve effective levels of resistance (J.A.R., un-published data). The lack of genetic flexibilityamong the highly ecologically specialized parasit-oids may restrict the evolution of resistance (Huf-faker 1971, Georghiou 1972). The relatively lowactivity of preadapting detoxifying enzyme sys-tems may limit the potential for resistance (Croft& Strickler 1983). Finally, the reliance of parasit-oid populations upon the host population for sur-

    vival after pesticide applications may effectivelyselect against resistant individuals (Croft & Morse1979, Hoy 1979, Tabashnik & Croft 1985). Thelast hypothesis, the food limitation hypothesis, hasreceived increased attention recently (Morse &Croft 1981, Tabashnik & Croft 1982, 1985, Ta-bashnik 1986).

    A corollary of the food limitation hypothesis(Georghiou 1972, Morse & Croft 1981, Croft &Strickler 1983, Tabashnik & Croft 1985) is thatresistance is unlikely to develop in a natural enemyspecies until after its host or prey (henceforth calledhost) has become resistant. Consideration of thepatterns of pesticide use in citrus and the resultingimpact on A. melinus and its host scale popula-tions leads to the conclusion, however, that thiscorollary may have been described in an overlyrestrictive form. Generally, chemicals being dis-cussed in this regard are not directed against thehost population. Rather, they are being used tocontrol other key pests in the agroecosystem.Therefore, resistance in the host population is notalways necessary; any means by which this popu-lation can survive the pesticide application andthereby continue to serve as hosts to the naturalenemy species will circumvent the problem of foodlimitation.

    There are two general means by which a non-resistant host population can survive an insecticideapplication (Fig. 1). First, a non-resistant host pop-ulation will be relatively unaffected by a chemicalapplication that it does not physically contact. Forexample, dimethoate applied to control citrus thripsis applied only to the periphery of the tree (Table4). The dimethoate will, therefore, contact only afraction of the total California red scale popula-tion, which is distributed throughout the tree(Ebeling 1959). The same is true for chlorpyrifos,which is applied to the outside of the tree for con-trol of various orangeworms (Table 4). The appli-cation of pesticides to a restricted portion of thetree may be described as a form of ecological se-lectivity towards the host population. Second, anatural tolerance relative to the tolerance of thetarget pest species will also enable the host popu-lation to survive treatment. Thus, California redscale, while potentially controllable with dimeth-oate (which is registered for control of A. auran-tii), largely appears to be tolerant of the lowerconcentrations applied for control of citrus thrips.

    The results of our study may be considered withregard to this broadened concept of the food lim-itation hypothesis and its corollary. The absenceof a substantial host population should, accordingto the hypothesis, retard the evolution of resistancein A. melinus to carbaryl, malathion, and methi-da'thion (used to control scales) but not to dimeth-oate (applied for thrips control). The evolution ofresistance to chlorpyrifos (applied for control ofeither scales or orangeworms) should fall some-where between these two extremes.

    Are these predictions reflected in the ranges of

  • October 1986 ROSENHEIM& Hoy: PESTICIDERESISTANCEVARIATIONIN A. melinus 1169

    Table 4. Recommendations" of the University of California Cooperative Extension for the treatment of citrus withcarbaryl, chlorpyrifos, dimethoate, malathion, and methidathion

    Earliest recommendation 1984-86 recommendationPesticide and Target species Cover- Cover-formulation Year Concn age Concn age

    typei' type

    Carbaryl A. auranlii 1966-67 1.20-1.44 g/liter TC Same as 1966-6780WP (1-1.2 Ib/loo gal)

    Chlorpyrifos Several Lepidopteran 1984-86 1.24-12.4 ml/liter/ha OC Same0.48 kg/liter E pests (1-2 qt/l00-5oo gal/acre)(4lb/gal) A. auranll/ 1984-86 0.94 ml/liter TOC Same

    (0.75 pt/loo gal)

    Dimethoate S. citri 1966-67 3.75 ml/liter MS 4.64-18.5 mlfliter OC0.32 kg/liter E (3 pts/loo gal) 3-6 pts/l00-2oo gal/acre"(2.67 Ib/gal)

    Malathion A. aurantii 1957d 3.00-4.20 g/liter TC 2.88-4.07 g/liter TC25WP (2.5-3.5 Ib/loo gal) (2.4-3.4 Ib/loo gal)

    Methidathion A. auranlii 1976-78 1.25 ml/liter TOC Same as 1976-780.24 kg/liter E (1 pt/loo gal)(2Ib/gal)

    U Recommendations published in the irregularly issued citrus treatment guides (e.g., Morse & Bailey 1984)./,Abbreviations used are taken verbatim from treatment guides (e.g., Morse & Bailey 1984). MS, mist spray; low Iiterage, 936-2,807

    liters per hectare (100-300 gallons per acre), applications without droplet size restrictions achieving limited droplet depositions ontree surfaces; OC, outside coverage; median Iiterage, not more than 4,676 liters per hectare (500 gallons per acre), applicationsachieving thorough distribution to outside or peripheral parts of the tree only; TC, thorough coverage: high Iiterage, 114-132 litersper tree (30-35 gallons per tree), applications achieving thorough film wetting of all interior and exterior parts of the tree; TOC,thorough distribution coverage: median Iiterage, 76-114 liters per tree (20-30 gallons per tree), applications achieving thoroughdistribution to all interior and exterior parts of tree without necessity of obtaining film wetting.

    " For the first time, in the 1984-86 Treatment Guide, this recommendation was accompanied by a footnote reading "Non-resistantthrips only."

    of Because A. melinus was introduced in 1957, this is the earliest relevant recommendation.

    resistance values observed in the populations testedwith each of these insecticides? Because not allcolonies were tested with all of the chemicals, theranges of resistance values must be considered withcaution. To compare the ranges of resistance val-ues for two chemicals, only those colonies testedwith both chemicals should be considered (e.g., tocompare the ranges of LCso's of carbaryl with di-methoate, only colonies 1, 3, 4, 7, and 8 should beincluded). The LC50's for these colonies (Table 1)indicate that the maximum ranges of resistanceare 27.9/15.4 = 1.8-fold for carbaryl and 6.36/2.58 = 2.5-fold for dimethoate. The ranges of re-sistance values observed for malathion and di-methoate were 7.8- and 2.9-fold, and methidathi-on and dimethoate were 7.7- and 2.9-fold, respec-tively. Analogous figures for the three scalicides,carbaryl, malathion, and methidathion, comparedwith chlorpyrifos are 1.8- and 1.7-fold, 3.4- and1.8-fold, and 1.3- and 1.5-fold, respectively. Thefood limitation hypothesis predicts that the secondvalue of each of these paired numbers, represent-ing the extent of evolved resistance to chemicalsnot impacting the host population, should begreater than the first value, representing the extentof evolved resistance to chemicals that reduce thehost population. However, our observations sug-gest the reverse. This is a limited test of the hy-pothesis; many other factors, including the lengthof time and the degree to which the chemicalshave been used (Tables 2 and 4) and the possible

    existence of cross-resistance patterns, will affect theoutcome. We conclude that, at least in this system,food limitation does not appear to be the key fac-tor in determining the extent to which resistancehas developed.

    The Role of Past Selection Pressures. One ofour two initial goals was to evaluate thp role ofpast selection pressures in any observed interpop-ulation patterns of variation. To measure selectionpressures, spatial delimitation of a population wasrequired. Two important considerations were thegeographic distribution of potential hosts and thedispersal ability of the parasitoid.

    The distribution of hosts of A. melinus provedto be difficult to describe. Although the distribu-tion of commercially cultured citrus in Californiais known to consist of several fairly discrete regionsin widely separated valleys bounded by substantialmountain ranges (Fig. 1), we concluded that com-mercial citrus did not represent the entire hostplant pool. Substantial scale populations also existin common, small, dooryard citrus plantings(DeBach 1965). A. aurantii also infests many otherhost plants. McKenzie (1956) considered the speciesto be one of California's 22 omnivorous armoredscales, and the total number of plant hosts may belarge (Quayle 1911, McKenzie 1946). Compound-ing this situation in California, A. melinus devel-ops not only on A. aurantii but also on nine otherspecies of armored scales (Rosen & De Bach 1979;S. C. Warner, personal communication). Most of

  • 1170 FORUM: JOURNAL OF ECONOMIC ENTOMOLOGY Vol. 79, no. 5

    these additional hosts are also omnivorous; Mc-Kenzie (1956) listed over 80 plant genera, includ-ing many commercially cultivated species, as "onlya few of the more preferred hosts."

    The significance of these alternate hosts is dif-ficult to assess, and their collective contribution tothe total host pool may be less than that of A.aurantii (R. F. Luck, personal communication). A.melinus is not the dominant parasite of any of thealternate hosts (R. F. Luck & S. C. Warner, per-sonal communications), and some of the scales arerelatively rare. However, alternate host scale/hostplant combinations may provide refugia and av-enues for population movement both within andbetween the major citrus-growing areas.

    Although the dispersal ability of A. melinus hasnot been investigated specifically, reports of theparasitoid's spread following introduction into newareas provides a crude estimate of its mobility.From studying the spread of A. melinus in Greecefollowing its introduction there, DeBach & Argy-riou (1967) concluded that its effective rate of dis-persal was 75-100 km per year, even across rela-tively barren land cultivated only in scattered areas.De Bach & Sundby (1963) noted that A. melinuscould cross a 15-km barrier of barren high hillsseparating California's San Fernando and SimiValleys. On a smaller scale, the ability of the para-sitoid to spread throughout an Australian citrusgrove within 10 months of its release was docu-mented by Campbell (1976). Thus, A. melinus ap-pears to have a well-developed ability to disperse.

    The diffuse nature of the host pool of A. meli-nus, coupled with the parasitoid's mobility, indi-cated that an investigation of both the history ofpesticide use in the grove where the populationsample was collected and some measure of pesti-cide use in the surrounding areas would be nec-essary to adequately describe the historical selec-tion pressures experienced by the population.Although not precise and not. explaining all of thevariability in LC~o's of the populations sampled,the combined influences of these two factors ap-pear to provide a means of explaining the essentialfeatures of the observed patterns. Part of the unex-plained variability may also be attributable to theartificial movement of A. melinus populations re-sulting from the activities of commercial insecta-ries and biological control workers.

    Unfortunately, it is difficult to compare theseconclusions with those drawn from other studiesdealing with either beneficial or pest arthropods.Many authors have hypothesized that either thelocal history of pesticide use (e.g., Georghiou 1966,Herne 1971, Penman et al. 1976, Strawn 1978,Hoy & Knop 1979, Schoonees & Giliomee 1982,Mansour 1984, Quisenberry et al. 1984, Robertson& Stock 1985, Schmidt et al. 1985, Georghiou1986), regional history of pesticide use (e.g., Geor-ghiou 1972, Grafton-Cardwell & Hoy 1985), orsome combination of the two (e.g., Follett et al.1985) have generated patterns of variable resis-

    tance observed. Although suggestive data are pre-sented in these studies, we are not aware of anyinstance in which these hypotheses have been testedstatistically. Hopefully, future studies will includeanalyses of 1) past selection pressures, and 2) theroles of migration and host distribution in affectingthe relative importance of local and regional pat-terns of pesticide use. Progress in the nascent fieldof resistance management, which attempts to pro-long the useful life of pesticides by slowing or halt-ing the evolution of resistance, is dependent uponthe ability to implement specific pesticide usestrategies. The results of the studies we proposeshould be relevant to determining the geographicscale over which such resistance management pro-grams should be implemented for optimal effect.

    Implications for IPM, The results of this studyare encouraging because the observed trend to-wards increased resistance levels indicate a possi-ble means of increasing the effectiveness of A.melinus within an IPM framework. However, forat least three reasons, these results are not yet causefor complacency. First, levels of resistance exhib-ited by the populations sampled were not sufficientto enable them to survive field application rates ofcommonly used insecticides. This conclusion is inaccordance with other recent studies performedboth in the laboratory (Bellows et al. 1985, Morse& Bellows 1986) and the field (Griffiths et al. 1985).Second, we have no way to predict whether or notthe observed trend towards increased resistance willcontinue in the future. Finally, A. melinus doesnot exist in an ecological vacuum. While popula-tions of this parasitoid may be evolving increasedtolerance levels, the pest populations against whichthe chemicals are being applied may simulta-neously be evolving increased resistance. Growersmay be forced, thereby, to increase their insecti-cide application rates or shift to the use of newinsecticides. These responses represent an intensi-fication of old selection pressures and the creationof new selective pressures upon the parasitoid pop-ulation. Thus, the parasitoid may be engaged inan evolutionary race to resistance with the keypests of citrus.

    Since the introduction of A. melinus in 1957,California citrus growers have had relatively fewproblems with resistant insect pests. For all theinsecticides tested, the recommended applicationrates have remained essentially unchanged from1957 to the present (Table 4). A warning regardingresistant populations does, however, accompany therecommended application rates for dimethoate forthrips control. The citrus thrips is the only keyinsect pest of citrus that has recently developedresistance to an insecticide widely used for its con-trol (Morse & Brawner 1986). The declining effec-tiveness of dimethoate is reflected in the increasingapplication rates used by some growers. Fig. 4 pro-vides one such example taken from a grove in ButteCounty. Within the last few years, many growershave begun using insecticides other than dimeth-

  • October 1986 ROSENHEIM & Hoy: PESTICIDE RESISTANCE VARIATION TN A. melinus 1171

    Fig. 4. Dimethoate application rates for citrus thripscontrol in a Butte County navel orange grove, 1967-84.

    Acknowledgment

    We thank the many Univ. of California CooperativeExtension entomologists and California citrus growerswho assisted with the collection of parasitoids and pro-vided pesticide use histories. Special thanks go to J. Gor-den and J. R. Stewart (Pest Management Associates, Ex-eter, Calif.), T. S. Bellows, R. F. Luck, and S. C. Warner(Univ. of California, Riverside), R. Frinfrock (FAR Inc.,Corona, Calif.), D. J. Sandri and T. G. Shanower (Univ.of California, Berkeley), J. L. Robertson (Pacific South-west Forest and Range Exp. Stn., U.S. Forest Service),and D. Rosen (Hebrew Univ., Rehovot, Israel). We thankL. E. Caltagirone, G. Thomson, and R. F. Luck for crit-ical reviews of the manuscript. We also thank the Amer-ican Cyanamid, CIBA-Geigy, Dow Chemical, and UnionCarbide corporations for providing insecticides for test-ing. This material is based upon work supported in partby USDA Competitive Grant #84-CRCR-I-1452, Re-gional Research Project W-84, and under a NationalScience Foundation Graduate Fellowship to J.A.R.

    oate for thrips control. Thus, A. melinus may al-ready have missed the opportunity to become re-sistant to dimethoate. The other insecticides testedin this study continue to be used, but further in-creases in the resistance levels exhibited by A. mel-in us will be necessary before they can be usedselectively.

    One means to obtain these additional increasesin resistance is through a program of artificial se-lection in the laboratory. Artificial selection hasbeen successful in producing populations of pred-ator mites (Roush & Hoy 1981, Hoy 1985a) and apredaceous insect (Grafton-Cardwell & Hoy 1986)that are able to survive exposure to field concen-trations of insecticides. Thus far, selection of insectparasitoids has been unsuccessful. Based upon ourobservations of increased resistance levels in pop-ulations of A. melinus and the retention of intra-population variation in resistance levels in thesepopulations, A. melinus appears to be an appro-priate subject for a program of artificial selection.

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