Open Access
How to translate text using browser tools
1 December 2016 Direction and Timing of Dispersal of Scirtothrips dorsalis (Thysanoptera: Thripidae) on Select Ornamental Host Plant Species in South Florida
Andrew I. Derksen, Catharine M. Mannion, Dakshina R. Seal, Lance S. Osborne, Cliff G. Martin
Author Affiliations +
Abstract

Chilli thrips, Scirtothrips dorsalis Hood (Thysanoptera: Thripidae), is a troublesome pest of agronomic, vegetable, fruit, and ornamental crops. Scirtothrips dorsalis dispersal and monitoring were evaluated under field and greenhouse conditions in Homestead and Apopka, Florida, in 2007. A field test examined dispersal from Knock-Out® rose, Rosa ‘Radrazz’ (Rosaceae), onto green buttonwood, Conocarpus erectus L. (Combretaceae), and ‘Emerald Green’ schefflera, Schefflera arboricola Forst & Forst ‘Emerald Green’ (Araliaceae). Fewer adults were caught in traps set north, east, or south than west of rose plants corresponding to the average wind direction. Scirtothrips dorsalis flights increased during the morning to early afternoon, peaked about 9:00 a.m. to 2:00 p.m. EST, then decreased to almost no flights by 8:00 p.m. Warmer temperature and lower humidity corresponded to more adults caught per hour with most flights occurring after the accumulation of 300 degree-hours. ‘Emerald Green’ schefflera was preferred over, or may have been less repelling than, green buttonwood. Yellow sticky-card traps were most effective when placed downwind of suspected host plants, and field sites may need more traps per unit area and longer exposure periods than greenhouse sites. These findings may help managers to better monitor and manage S. dorsalis.

Chilli thrips, Scirtothrips dorsalis Hood (Thysanoptera: Thripidae), is a problematic pest native to southern Asia (Dev 1964; Kumar 2012). Over the last 20 yr, it has expanded its range into much of the world's tropical and subtropical regions. In 2005, it was found established in Florida (Coolidge 2005; Silagyi & Dixon 2006) and Texas (Holtz 2006), and it shows potential for expansion into the remainder of North America (Venette & Davis 2004; Meissner et al. 2005; Nietschke et al. 2008). More than 112 plant species in at least 40 families are hosts to this pest (CABI/EPPO 1997; CABI 2003), such as cotton, Gossypium species (Malvaceae); soybeans, Glycine max (L.) Merr. (Fabaceae); citrus, Citrus species (Rutaceae); and pepper, Capsicum L. species (Solanaceae) (Venette & Davis 2004; Meissner et al. 2005; Nietschke et al. 2008). Scirtothrips dorsalis also attacks ornamental plants and is a major pest of rose, Rosa species (Rosaceae), such as in India, where it adversely affects the number, size, and appearance of flowers (Onkarappa & Mallik 1998; Duraimurugan & Jagadish 2004). Symptoms of S. dorsalis feeding include leaf and flower drop, stunting, scarring, bronzing, and deformed growth (Dev 1964; Mound & Palmer 1981; Chandrasekaran 2005). Thus, high S. dorsalis densities may result in more injury than the plants can repair or replace and may kill them (Mound & Palmer 1981). Ornamental host plants are particularly vulnerable to feeding injury because even minimal scarring can render a plant too unsightly to be salable.

Hosts of S. dorsalis include popular landscape plants such as ligustrum, Ligustrum species (Oleaceae); Indian hawthorn, Raphiolepis indica (L.) Lindl. ex Ker Gawl. (Rosaceae); Knock-Out® rose, Rosa ‘Radrazz’ (Rosaceae); green buttonwood, Conocarpus erectus L. (Combretaceae); and ‘Emerald Green’ schefflera, Schefflera arboricola Forst & Forst ‘Emerald Green’ (Araliaceae). ‘Emerald Green’ schefflera and green buttonwood were identified as important host plants of S. dorsalis following reports from nurseries to extension agents in central and southern Florida. Perhaps because of their small size, weak flight, and short life cycles, these thrips generally appear to feed and reproduce on all their hosts. Buttonwood and schefflera are widely distributed in southern Florida and frequently used in hedges or borders, which may help S. dorsalis disperse and establish throughout the state (Morse & Hoddle 2006).

According to Mannion et al. (2014), a greater diversity and abundance of thrips (including S. dorsalis) was found on or near rose than on or near buttonwood plants. Higher numbers and densities of S. dorsalis were found on rose than on buttonwood throughout the year suggesting rose is a more attractive (or less repelling) host plant species (Mannion et al. 2014). At least 19 thrips species including S. dorsalis were found on plants and in traps on or near Knock-Out® rose or green buttonwood plants (Mannion et al. 2014). However, S. dorsalis accounted for 74% of trap-caught thrips from buttonwoods and 86% from roses in addition to 95% of the thrips found on each host plant species (Mannion et al. 2014).

Daytime flight is not uncommon for flower-feeding thrips such as Frankliniella occidentalis (Pergande) (Thysanoptera: Thripidae) (Pearsall 2002), which have species-specific responses to different wavelengths of light (Lewis 1973). Chu et al. (2006) found that yellow stickycard traps caught more S. dorsalis adults than sticky traps of other colors, which suggested the thrips are probably diurnal. Local dispersal has been found to be important in the colonization success of thrips, and knowing how thrips disperse in plots is important in finding effective, long-term control strategies (Groves et al. 2003; Nault et al. 2003; Rhainds et al. 2005). An improved understanding of the hierarchy of host plant preference, environmental conditions, and timing of S. dorsalis flight activity may help in predicting dispersal rates and in timing pesticide applications. The purpose of this study was to determine the influence of host plant preference, environmental conditions, and time of day on the dispersal of S. dorsalis. Recommendations were developed based on the findings.

Materials and Methods

Two tests were performed: Test 1 (Fig. 1A) was a field test determining host plant preference, injury (damage), and direction of dispersal; and Test 2 (Fig. 1B) was a field and greenhouse test to determine diurnal timing of dispersal. The tests were performed at the University of Florida, Tropical Research and Education Center (TREC), Homestead (25.5°N, 80.5°W), and the Mid-Florida Research and Education Center (MREC), Apopka (28.6°N, 81.6°W), Florida, from Jul to Sep 2007.

ENVIRONMENTAL CONDITIONS

In the dispersal timing test at each greenhouse site, an electronic sensor (HOBO® H8 Pro Series, Onset Computers, Bourne, Massachusetts) recorded temperature, humidity, and degree-hours; it also recorded degree-hours at each field site. At field sites, temperature, humidity, rainfall, and wind speed during the test period were recorded 60 cm above ground by the Florida Automated Weather Network (FAWN) stations in Apopka and Homestead (FAWN 2007). During the test period at Homestead, mean weekly temperatures were 24.7 to 28.7 °C, relative humidity was 70 to 84%, and wind speeds were 4.7 to 10.6 kph (range 0 to 85 kph), with a mean direction of 85 ± 22°, or blowing from east to west (Fig. 2; FAWN 2007). At Apopka, mean weekly temperatures were 25.4 to 29.5 °C, relative humidity was 72 to 82%, and wind speeds were 6.6 to 10.1 kph (range 0 to 84 kph), with a mean direction of 127 ± 72°, or blowing from southeast to northwest (FAWN 2007).

Fig. 1.

Experimental setups. (A) Population estimates and dispersal from rose to buttonwood and schefflera. Darkest grey represents rose, whereas the 2 lighter grey shades represent buttonwood or schefflera with the same shade of grey representing the same plant species. (B) Flight behavior during the day. Circles represent potted rose plants in 11 L containers. Small black rectangles denote locations of yellow sticky-card traps relative to each plot.

f01_710.jpg

Plants at field sites were exposed to mostly sunny, ambient environmental conditions and irrigated daily by overhead sprinklers on a timer at 6:00 a.m. and 2:00 p.m. EST for half an hour with 93 ± 15 mL of tap water each time. Greenhouses in both locations were exposed to similar conditions as field sites, but had about 60 to 70% light blockage, which moderated the temperature and humidity compared with field conditions. At the greenhouse sites, the plants were placed on raised benches, and at field sites, they were on landscape fabric on the ground. All plants were potted in plastic containers of either 11 L (28 cm top diameter) or 0.6 L (10 cm top diameter) in a standard potting medium: 50% Canadian peat moss, 25% pine bark, and the remaining 25% a mixture of perlite and vermiculite (Fafard 3B Mix, Conrad Fafard Co., Agawam, Massachusetts).

Fig. 2.

Population estimates and dispersal of Scirtothrips dorsalis to 2 hosts at TREC, 19 Jul to 27 Sep 2007. (A) Mean weekly numbers of nymphs and pupae found on buttonwood foliage. (B) Mean weekly numbers of adults washed from plant terminals with data from buttonwood and schefflera pooled. (C) Mean weekly captures of adults on yellow sticky-card traps behind buttonwood and schefflera plants. Symbols represent means ± SD. An asterisk (*) indicates a significant difference from the other weeks according to 1-way ANOVAs and t-test comparisons at P ≤ 0.05. Mean weekly temperatures (T °C) and relative humidity (RH %) for the 3 mo period are shown parallel to the X-axis (FAWN 2007).

f02_710.jpg

Host plants in 11 L containers included the principal study plants, Knock-Out® rose, ‘Emerald Green’ schefflera, and green buttonwood. In greenhouse tests in 0.6 L containers, pepper and cotton plants were also planted as additional feeding and reproductive hosts for the S. dorsalis colonies. Schefflera and buttonwood plants were grown from cuttings harvested at TREC, and the roses were purchased from Treemendous Landscapes, Homestead, Florida. Cotton and pepper plants in the greenhouse tests were grown from seed. All plants were fertilized once a month with 4.0 g of 20:20:20 liquid fertilizer granules diluted and applied according to manufacturer's instructions (Peter's Professional, Scotts Co., Marysville, Ohio), and additionally, once every 2 mo with 7.5 g of 15:9:12 pellet fertilizer (Osmocote Plus, Scotts Co., Marysville, Ohio).

TEST 1: POPULATION ESTIMATES AND DISPERSAL TO TWO HOSTS

Dispersal behavior of S. dorsalis was evaluated using Knock-Out® rose, ‘Emerald Green’ schefflera, and green buttonwood plants at the TREC field site from Jul to Sep 2007. Before beginning the test, all schefflera and buttonwood plants were carefully inspected to ensure they were free from thrips. Twelve 8-mo-old Knock-Out® rose plants were randomly selected from an established group of heavily infested plants with densities of 3 S. dorsalis individuals per cm2 on flowers. There were 4 replications, and each consisted of 3 infested rose plants in the center of 4 pairs of plants each with 1 schefflera and 1 buttonwood (Fig. 1A). Each schefflera-buttonwood pair was placed at a cardinal point 1 m north, east, south, and west of each trio of infested rose plants. The central rose plants had overlapping canopies and served as principal sources of S. dorsalis to infest buttonwood and schefflera plants. Replications were spaced 1 m apart, which was the distance between a schefflera-buttonwood pair in one replication and the nearest such pair in another replication.

To estimate the number of S. dorsalis flights among the host plant species, yellow 7.6 × 12.7 cm sticky-card traps (Stiky Strips, Olson Products, Medina, Ohio) were placed on 1-m-tall posts. Each post was placed in each buttonwood or schefflera container 6 cm from the plant and on the opposite side of the container from the central trio of rose plants (Fig. 1A). Traps were replaced once a week. Used traps were wrapped in clear plastic wrap and stored at -6 °C if they could not be processed immediately. Scirtothrips dorsalis populations on buttonwood and schefflera plants were estimated by a weekly random sampling of each plant of 1 terminal bud, which included 5 cm of stem and the growing tip (apical meristem). Hence, the experiment was randomized within each block (replication). These buds were of similar age and development and were consistently selected from similar positions in the plant canopies. All samples were removed with pruning shears and promptly sealed in small plastic containers with 2 drops of 95% ethanol. Samples that could not be processed immediately were refrigerated at -6 °C until processing.

In each sample, numbers of S. dorsalis individuals in each visible life stage (2 instars, pupae, or adults) were determined by washing samples with 75% ethanol and pouring the rinsate through a sieve (US standard 230 mesh with 65 μm openings) as described by Seal & Baranowski (1993). Debris from insects on traps and alcohol-washes of samples were examined under a dissection microscope with at least 12× magnification. Using morphological characters, S. dorsalis could be distinguished from the other thrips species by the small adult size and distinguishing abdominal, pronotal, and antennal features (Funderburk et al. 2007). Plant samples were dried overnight, and the area of each dried sample was determined using a leaf area meter (LI-3000, LiCor, Lincoln, Nebraska), which allowed S. dorsalis density per cm2 to be determined. Samples were collected from plants and sticky traps once a week for 11 wk from 19 Jul to 27 Sep 2007. Insect voucher specimens were sent to the Florida Department of Agriculture and Consumer Services, Division of Plant Industry, Gainesville, Florida, to confirm identification throughout the test. A damage estimate similar to that of Kumar et al. (1996) for pepper was used every week to rate plant quality and feeding damage on a 0 to 5 scale with 0 for no symptoms and 5 for defoliated plants near death.

TEST 2: FLIGHT BEHAVIOR DURING THE DAY

Daily and hourly S. dorsalis flight patterns were evaluated in a set of experiments conducted in 2 greenhouses and 2 field sites with 1 greenhouse and 1 field site each at TREC and MREC. Each greenhouse and field site had 20 infested Knock-Out® rose plants spaced 33 cm apart and arranged in a 4 × 5 plant grid (3.4 m2) (Fig. 1B). Each greenhouse had additional feeding and reproductive hosts for S. dorsalis colonies including 300 to 400 cotton and chili pepper plants, which were planted every 2 wk; the MREC greenhouse also had northern highbush blueberries (Vaccinium corymbosum L.; Ericaceae). However, field sites were infested with ambient S. dorsalis populations and not supplied with additional plants to provide infestation. At each field or greenhouse site, four 7.6 × 12.7 cm yellow sticky-card traps were placed on 1-m-tall posts that were 33 cm from the inside corner of each plot. Preliminary experiments did not detect nocturnal flights for S. dorsalis, so traps at all 4 sites were replaced every hour during daylight hours from 6:00 a.m. EST (1 h before dawn) until 9:00 p.m. EST (1 h after dusk). Each diurnal test was repeated on 4 consecutive days at each site, hence there were 16 replications. Traps were collected, wrapped in clear plastic wrap, and stored at -6 °C if they could not be processed immediately. Scirtothrips dorsalis adults were identified and counted using similar magnification, techniques, and keys as described for Test 1.

STATISTICAL ANALYSES

Initial 2-way ANOVAs helped to determine if interaction occurred between host plant and dispersal direction for Test 1—population estimates and dispersal direction—, and between location and environment (field vs. greenhouse) for Test 2—daily flight behavior. Treatments were then compared using 1-way ANOVAs or t-tests as appropriate. Means were separated using Student's t-tests when sample sizes were constant between treatments, or by Tukey-Kramer HSD test for unequal sample sizes. Also, least-square means were used to fit the general linear model and to determine the strength of each relationship between the numbers of thrips caught per hour and temperature or humidity. Although no data were transformed, statistical analyses were conducted with JMP statistical software (SAS Institute 2007).

Results

POPULATION ESTIMATES AND DISPERSAL TO TWO HOSTS

No significant interaction was found between host plant species and dispersal direction for any variable tested including number of thrips caught per trap, plant damage rating, or number or density of thrips of any instar per plant. Therefore, host plant species were pooled to compare dispersal directions, and dispersal directions were pooled to compare host plant species for analyses.

Stadia. The number of nymphs and pupae per plant did not show significant variation during the 11 wk test for schefflera. However for buttonwoods, there was variation in cumulative nymphs and pupae per plant (F = 2.01; df = 10, 313; P = 0.0321) with significantly more nymphs and pupae collected for the 2nd week than on all other sample dates (Fig. 2A). Considering pooled host plants, numbers of adults caught per week did not vary significantly between weeks (Fig. 2B), but numbers of adults per sticky trap did show weekly variation (F = 9.21; df = 10, 274; P < 0.0001) (Fig. 2C). There was no correlation over the 11 wk study period between numbers of adults trapped above pooled host plants and either numbers of adults caught on pooled host plants or nymphs and pupae caught on buttonwoods.

Host Plant. The amount of damage found on each host plant species was very low (<1%) with minor scarring at petiole bases and wrinkled new growth. However, there was more damage on schefflera than on buttonwood (t = 1.97; df = 350; P < 0.0001) (Fig. 3A). Scirtothrips dorsalis density was also higher on schefflera than on buttonwood (t = 2.03; df = 183; P < 0.05) (Fig. 3B), but there were no significant differences in total numbers of nymphs, pupae, and adults sampled among the 2 host plant species. However, significantly more adult thrips were captured on traps placed behind buttonwood than behind schefflera (t = -3.07; df = 245; P < 0.003) (Fig. 3C).

Direction. No significant difference was observed among cardinal directions in S. dorsalis damage rating, total number, or population density on plants. However, more adults were caught on sticky traps located west of the roses than on traps located north, south, or east of them (F = 1.97; df = 281; P < 0.0001); this corresponded to the direction of prevailing winds (Fig. 3D).

FLIGHT BEHAVIOR DURING THE DAY

An interaction occurred between location and environment (F = 19.90; df = 1; P < 0.0001); hence, each population was considered independently. At all 4 sites, there was a rapid increase of captures early in the morning with peak numbers from 9:00 a.m. to 2:00 p.m. EST, which then declined to near zero by 8:00 p.m. The MREC greenhouse and TREC field site each reached their peak about 10:00 a.m., the TREC greenhouse site peaked at 12:00 p.m., and the MREC field site peaked at 2:00 p.m. (Fig. 4A and B). There was no significant difference between TREC and MREC field sites in numbers of adults caught per hour. However, there was a difference between TREC and MREC greenhouses (t = -3.17; df = 298; P = 0.0008), with more thrips caught per hour at the MREC than at the TREC greenhouse at 10:00 a.m. (t = -2.17; df = 18; P = 0.0228) and at 7:00 p.m. EST (t = -2.57; df = 18; P = 0.0097) (Fig. 4A). Numbers of adults caught at field sites were lower than those at greenhouse sites at MREC (t = -3.60; df = 13; P = 0.0033) and at TREC (t = -4.57; df = 13; P = 0.0005).

Fig. 3.

Population estimates and dispersal of Scirtothrips dorsalis to 2 hosts: cumulative data for the 11 wk test period. (A) Mean damage ratings on a scale of 0 to 5. (B) On-plant densities of S. dorsalis. (C) Weekly captures of adults on yellow sticky-card traps. (D) Weekly captures of adults on yellow sticky-card traps by cardinal direction of traps from plants. Symbols represent means ± SD. An asterisk (*) indicates a significant difference at P ≤ 0.05 (A-C) between host plant species according to t-tests or (D) from the other host plant pairs at other cardinal orientations based on a 1-way ANOVA followed by a Tukey-Kramer HSD test.

f03_710.jpg

Conditions in the TREC greenhouse were warmer (+2.2 °C; t = 5.99; df = 278; P = 0.0001) and more humid (+2%; t = 2.05; df = 278; P = 0.0205) than in the MREC greenhouse. The TREC field site averaged 3% higher humidity than the MREC field site (t = 3.79; df = 690; P = 0.0002). Temperature was positively correlated with numbers of adults caught per hour at the TREC greenhouse site (r = 0.80; P = 0.0002), the TREC field site (r = 0.67; P = 0.0029), and the MREC field site (r = 0.54; P = 0.0205). Humidity was negatively correlated with numbers of adults caught per hour at the TREC field site (r = -0.64; P = 0.0048) and the TREC greenhouse site (r = -0.80; P = 0.0002). Morning flight peaks occurred at all 4 sites after the accumulation of at least 300 degree-hours (generally about 10:00 a.m.). A second peak occurred at the MREC field site after accumulating 650 degree-hours (about 2:00 p.m.) (Fig. 4A and B). The primary morning peak after 300 degree-hours occurred approximately when external temperatures reached 30 °C at each location.

Fig. 4.

Flight behavior of Scirtothrips dorsalis during the day. Mean hourly captures of adults at (A) greenhouse and (B) field sites of TREC and MREC by the time sampled and cumulative degree-hours. Symbols represent means ± SD. An asterisk (*) indicates a significant difference between test locations at a given time based on a t-test at P ≤ 0.05.

f04_710.jpg

Discussion

In the field test of dispersal direction, we observed the greatest numbers of adults on traps located west of infested rose plants in the direction of prevailing winds. However, factors other than wind may have influenced the results, for example, thrips moving to shaded surfaces in the evenings and sunlit surfaces in the morning, or habitat cues such as trees external to the experiment. But it is not surprising that most trap captures were in the direction of prevailing winds because S. dorsalis is a minute insect with low mass, and the fringed wings provide a large surface area, which renders it easily dispersed by wind (Lewis 1973). Near the ground, where the wind is less strong, local dispersal of very small insects tends to occur within a “boundary layer,” or nearly immobilized air protected from disturbance by plant canopy that allows the insects to fly short distances (Taylor 1974). The behavior of S. dorsalis populations on St. Vincent in the Lesser Antilles supported this hypothesis (Seal et al. 2006). Within 48 m2 plots, Seal et al. (2006) found that aggregated population clusters were randomly distributed throughout the field. This finding suggested initial, random colonization events followed by gradual, more local population growth and expansion to adjacent plants (Seal et al. 2006).

Mannion et al. (2014) compared buttonwood with rose (but not schefflera) and found more S. dorsalis nymphs on rose than on buttonwood plants, but the percentage of the population that was adult appeared larger on buttonwood. Similarly, in the present study, S. dorsalis densities and damage ratings were lower on buttonwood than on schefflera suggesting the latter may be a better host plant species for survival and reproduction of S. dorsalis. However, buttonwood appeared to be a more attractive host to adults: more adult thrips were caught in traps near buttonwood than near schefflera. Both Mannion et al. (2014) and the present study used the same number (4) and type of sticky traps per host plant species. However in the present study, traps were distributed 1 per plant container with different host plant species next to each other, whereas in Mannion et al. (2014), traps were placed within separate groups of 20 of the same host plant species. Nonetheless, in the present study and in Mannion et al. (2014), buttonwood appeared less preferred (or possibly more repelling) than the other host plant species, but yielded larger numbers of S. dorsalis adults per trap (in the present study) or numerically larger percentages of the sampled S. dorsalis populations that were adults on plants (Mannion et al. 2014). Similarly, Masui (2007) found many S. dorsalis adults feeding on citrus but fewer nymphs on citrus compared with the other host plant taxa. When adult insects are found feeding on a certain host plant species, they may not necessarily be able to complete development from newly emerged 1st instar to adult (Ananthakrishnan 1993). Whether or not an insect-host plant association occurs for feeding only or for reproduction may therefore be important. Because S. dorsalis can infest and possibly complete its reproductive cycle on buttonwoods, this secondary host may serve as a potential reservoir and pathway for thrips moving between roses and other preferred hosts (Mannion et al. 2014). Thus, buttonwood may aid the dispersal of adult thrips to facilitate reproduction on the more desirable host plant species, while also being present in larger adult numbers on or near this secondary host.

Rose was not included in the group of target plants and was already infested at the outset of the experiment, whereas the other 2 plant species were free of thrips and had to be colonized. Therefore, our results support a preference of S. dorsalis for schefflera over buttonwood, but the experiment was not designed to test whether each host plant species was preferred over rose plants. Also, neither buttonwood nor schefflera had mean damage ratings of more than 0.22 out of 5 or densities of more than 0.02 thrips per cm2 indicating low levels of damage and pest density on each host plant species. In another field test on green buttonwoods in 4 × 5 plant grids (3.4 m2), Mannion et al. (2014) found similarly low damage (0 to 0.8) and densities (0.002 to 0.07 thrips per cm2), but damage to Knock-Out® rose flowers varied from 0 to 3.8 with mean densities of 0.17 to 6.3 thrips per cm2. The apparent low values for S. dorsalis density and plant damage on buttonwood in both studies and on schefflera in the present study suggest that neither plant species was a strong host of S. dorsalis when compared with Knock-Out® roses. Nonetheless, buttonwood and schefflera have been important hosts of S. dorsalis based on nursery reports (Silagyi & Dixon 2006).

In the present study, S. dorsalis populations may have remained on Knock-Out® roses instead of migrating to alternate hosts because of the attractiveness of the source plants or because they were too sedentary to disperse from the host. Plants provided with high nitrogen fertilizer are often more attractive to insect pests than those provided with less nitrogen (Slansky & Rodriquez 1987).Hence, the strong attraction of S. dorsalis to schefflera and buttonwood in nursery reports (Silagyi & Dixon 2006) may have been caused by heavy fertilization to “push” plant growth, or the plants may have been growing in greenhouses where S. dorsalis was unable to escape to outside host plants. Buttonwoods have simple, medium-green, elliptical to obovate, 3 to 8 cm long leaves, whereas scheffleras have palmately compound, mostly dark green, very glossy leaves each with 6 to 10 elliptical-obovate leaflets that are 6 to 13 cm long. Schefflera foliage can appear glossier, denser, and darker green than buttonwood foliage. Based on our samples from plants versus traps, the difference in plant canopy structure may have contributed to the difference in preferred host plants which is supported by Lewis (1997). In color preference tests for S. dorsalis adults using sticky traps or flower petals, green, yellow, orange, red, or white were the most attractive colors (Tsuchiya et al. 1995; Saxena et al. 1996; Gahukar 2003; Rani & Sridhar 2003; Chu et al. 2006).

Plant morphological characters such as height, leaf size, petiole length, and leaf internode distance can also affect population levels of S. dorsalis, such as on chili peppers (Pramanick & Mohasin 2004). Timing of trap placement relative to periods of highest adult dispersal and prevailing winds may also have affected our results. Hence, possible reasons for our apparently low rates of S. dorsalis infestation on buttonwood and schleffera compared with rose plants include differences in plant cultural and environmental conditions; trap timing; plant quality, color, and morphological characters; more attractive host plants elsewhere; and/or barriers to insect movement. Perhaps future studies should investigate the interaction of environmental and host plant factors in determining differences in host plant preference, nonpreference, repellence, or similar effects.

In the test of daily dispersal timing, greenhouses contained potentially higher densities of thrips than field environments because of their abundant inoculation sources, more enclosed spaces, more limited volumes, and lower dispersal wind speeds. It is therefore not surprising that lower mean numbers of adults were trapped in the field than in greenhouse sites suggesting the use of sticky traps to monitor fields may be less cost effective and efficient than their use in greenhouse environments. On the other hand, fewer traps may be needed to monitor a given area in the field than in the greenhouse if the lower field densities of S. dorsalis are more uniform because of the lack of restrictive barriers and freer movement of insects. To more effectively monitor for S. dorsalis in the field, traps may need to be placed downwind of suspected host plants. Traps should also be exposed for longer time periods than the 1 h used in the present study, but this is typical for field studies, where traps are often set up, checked, and replaced weekly.

We found that both increasing temperature and decreasing humidity were correlated with increased flight activity. However, the periodicity of thrips dispersal may also be linked to the time of day, and we were unable to tell whether thrips prefer to fly at 9:00 a.m. to 2:00 p.m. EST because of the effects of “internal clocks” or because of temperature and/or humidity. Both increasing rainfall (Lewis 1973, 1997; Varadharajan & Veeravel 1995; Saxena et al. 1996; Lingeri et al. 1998; Paul & Konar 2005; Singh 2005) and increasing humidity (Varadharajan & Veeravel 1995; Saxena et al. 1996; Lingeri et al. 1998; Paul & Konar 2005) can reduce thrips population growth rates. The decreasing flight captures with increasing humidity may suggest flight avoidance behavior on rainy days.

There were differences between sites in numbers of adults caught at each time of day and in the timing of daily population peaks. However, flight activity generally increased in early morning, peaked from mid-morning to early afternoon, and then became less frequent until early evening. Arthropods including thrips are poikilothermic, or have body temperatures that vary with the environment, and they require a constant number of degree-hours to accumulate and heat their flight muscles before flying (Ellington 1980). Hence, the pattern involving a diurnal peak in flight numbers followed by reduced activity may be common to S. dorsalis and other thrips species.

In summary, our study found or supported an apparent preference of S. dorsalis for ‘Emerald Green’ schefflera over green buttonwood. Also, to maximize trap catches, traps should be placed downwind of attractive hosts. Because hourly captures of adults were much lower in traps placed in the field than in the greenhouse, field sites may need more traps per unit area exposed for longer time periods than greenhouse sites to catch similar numbers of thrips per trap. At all 4 sites, adults had maximum daily flight frequencies after accumulating at least 300 degree-hours, or generally when external temperatures reached about 30 °C. Hence, traps should be left throughout the day to take advantage of the activity periods. These insights have potential value for integrated pest management in trapping, monitoring, and determination of pesticide and other control strategies.

Acknowledgments

We thank M. Peterson for collection of samples at MREC, Holly Glenn and Julio Almanza for technical assistance at TREC, S. NaLampang for his suggestions and advice on data analysis, and Google Translate for help in translating the abstract into Spanish.

References Cited

1.

Ananthakrishnan T. 1993. Bionomics of thrips. Annual Review of Entomology 38: 71–92. Google Scholar

2.

CABI (Centre for Agricultural Bioscience International). 2003. Crop Protection Compendium: Global Module. CABI Publishing, Wallingford, United Kingdom. Google Scholar

3.

CABI/EPPO (Centre for Agricultural Bioscience International-European and Mediterranean Plant Protection Organization). 1997. Quarantine Pests for Europe, 2nd Edition. CABI Publishing, Wallingford, United Kingdom. Google Scholar

4.

Chandrasekaran M. 2005. Symptomatology of chili leaf curl. Journal of Ecotoxicology and Environmental Monitoring 15: 377–380. Google Scholar

5.

Chu C-C, Ciomperlik MA, Chang N-T, Richards ML, Henneberry TJ. 2006. Developing and evaluating traps for monitoring Scirtothrips dorsalis (Thysanoptera: Thripidae). Florida Entomologist 89: 47–55. Google Scholar

6.

Coolidge G. 2005. “New thrips” cause significant damage to rose foliage and blooms. Greater Palm Beach Rose Society, Florida, The Rose Petal,  http://www.centralfloridarosesociety.org/info/index.asp (last accessed Sep 2005). Google Scholar

7.

Dev HN. 1964. Preliminary studies on the biology of the assam thrips, Scirtothrips dorsalis Hood, on tea. Indian Journal of Entomology 26: 184–194. Google Scholar

8.

Duraimurugan P, Jagadish A. 2004. Evaluation of suitable technique and determination of appropriate stage for sampling thrips in rose flowers. Food Agriculture and the Environment 2: 187–189. Google Scholar

9.

Ellington CP. 1980. Wing mechanics and take-off preparation of thrips (Thysanoptera). Journal of Experimental Biology 85: 129–136. Google Scholar

10.

FAWN (Florida Automated Weather Network). 2007. Data for Tropical Research and Educational Center (TREC), Homestead, and Mid-Florida Research and Education Center (MREC), Apopka [online],  http://fawn.ifas.ufl.edu/data/reports/ (last accessed 29 Aug 2012). Google Scholar

11.

Funderburk JE, Diffie S, Sharma J, Hodges A, Osborne L. 2007. Thrips of ornamentals in the southeastern US. #ENY-845, University of Florida, Institute of Food and Agricultural Sciences,  http://edis.ifas.ufl.edu/in754 (last accessed 13 Aug 2012). Google Scholar

12.

Gahukar R. 2003. Factors influencing thrips abundance and distribution on rose flowers in central India. Journal of Entomological Research 27: 271–279. Google Scholar

13.

Groves RL, Walgenbach JF, Moyer JW, Kennedy GG. 2003. Seasonal dispersal patterns of Frankliniella fusca (Thysanoptera: Thripidae) and tomato spotted wilt virus occurrence in central and eastern North Carolina. Journal of Economic Entomology 96: 1–11. Google Scholar

14.

Holtz T. 2006. NPAG Report: Scirtothrips dorsalis Hood. New Pest Advisory Group, Center for Plant Health Science and Technology, United States Department of Agriculture, Animal and Plant Health Inspection Service, Raleigh, North Carolina. Google Scholar

15.

Kumar NKK, Aradya M, Deshpande AA, Anand N, Ramachandar PR. 1996. Initial screening of chili and sweet pepper germplasm for resistance to chili thrips, Scirtothrips dorsalis Hood. Euphytica 89: 319–324. Google Scholar

16.

Kumar V. 2012. Characterizing phenotypic and genetic variations in the invasive chilli thrips, Scirtothrips dorsalis Hood (Thysanoptera: Thripidae). Ph.D. thesis, University of Florida, Gainesville, Florida. Google Scholar

17.

Lewis T. 1973. Thrips: Their Biology, Ecology, and Economic Importance. Academic Press, London, United Kingdom. Google Scholar

18.

Lewis T. 1997. Thrips as Crop Pests. CAB International, Oxon, United Kingdom. Google Scholar

19.

Lingeri MS, Awaknavar JS, Lingappa S, Kulkarni KA. 1998. Seasonal occurrence of chili mites (Polyphagotarsonemus latus Banks) and thrips (Scirtothrips dorsalis Hood). Karnataka Journal of Agricultural Science 11: 380–385. Google Scholar

20.

Mannion CM, Derksen AI, Seal DR, Osborne LS, Martin CG. 2014. Population dynamics of Scirtothrips dorsalis Hood (Thysanoptera: Thripidae) and other thrips species on two ornamental host plant species in southern Florida. Environmental Entomology 43: 849–858. Google Scholar

21.

Masui S. 2007. Synchronism of immigration of adult yellow tea thrips, Scirtothrips dorsalis Hood (Thysanoptera: Thripidae), to citrus orchards with reference to their occurrence on surrounding host plants. Applied Entomology and Zoology 42: 517–523. Google Scholar

22.

Meissner H, Lemay A, Borchert D, Nietschke B, Neeley A, Magarey R, Ciomperlik M, Brodel C, Dobbs T. 2005. Evaluation of possible pathways of introduction for Scirtothrips dorsalis Hood (Thysanoptera: Thripidae) from the Caribbean into the continental United States, p. 125. In USDA-APHIS [ed.], Plant Epidemiology and Risk Assessment Laboratory. United States Department of Agriculture, Animal and Plant Health Inspection Service, Raleigh, North Carolina. Google Scholar

23.

Morse JG, Hoddle MS. 2006. Invasion biology of thrips. Annual Review of Entomology 51: 67–89. Google Scholar

24.

Mound LA, Palmer JM. 1981. Identification, distribution, and host plants of the pest species of Scirtothrips (Thysanoptera: Thripidae). Bulletin of Entomological Research 71: 467–479. Google Scholar

25.

Nault BA, Speese III J, Jolly D, Groves RL. 2003. Seasonal patterns of adult thrips dispersal and implications for management in eastern Virginia tomato fields. Crop Protection 22: 505–512. Google Scholar

26.

Nietschke BS, Borchert DM, Magarey RD, Ciomperlik MA. 2008. Climatological potential for Scirtothrips dorsalis (Thysanoptera: Thripidae) establishment in the United States. Florida Entomologist 91: 79–86. Google Scholar

27.

Onkarappa S, Mallik B. 1998. Distribution and management of Scirtothrips dorsalis Hood (Thysanoptera: Thripidae) on rose, pp. 165–167 In Reddy PP, Kumar NK, Verghese A [eds.], Advances in IPM for Horticultural Crops. Indian Institute of Horticultural Research, Bangalore, India. Google Scholar

28.

Paul S, Konar A. 2005. Ecological study on the occurrence of chili thrips in the plains of West Bengal. Indian Journal of Ecology 32: 102–103. Google Scholar

29.

Pearsall IA. 2002. Daily flight activity of the western flower thrips (Thysanoptera: Thripidae) in nectarine orchards in British Columbia, Canada. Journal of Applied Entomology 126: 293–302. Google Scholar

30.

Pramanick C, Mohasin MD. 2004. Relationships between plant morphological characters and incidence of chili thrips Scirtothrips dorsalis Hood in District Nadia of West Bengal. Environmental Ecology 22: 880–883. Google Scholar

31.

Rani BJ, Sridhar V. 2003. Screening of polyhouse grown rose varieties for resistance to thrips, Scirtothrips dorsalis Hood. Journal of Ornamental Horticulture 6: 165–171. Google Scholar

32.

Rhainds M, Shipp L, Woodrow L, Anderson D. 2005. Density, dispersal, and feeding impact of western flower thrips (Thysanoptera: Thripidae) on flowering chrysanthemum at different spatial scales. Ecological Entomology 30: 96–104. Google Scholar

33.

SAS Institute. 2007. SAS User's Manual. SAS Institute, Cary, North Carolina. Google Scholar

34.

Saxena P, Vijayaraghavan MR, Sarbhoy RK, Raizada U. 1996. Pollination and gene flow in chillies with Scirtothrips dorsalis as pollen vectors. Phytomorphology 46: 317–327. Google Scholar

35.

Seal DR, Baranowski RM. 1993. Effectiveness of different insecticides for the control of melon thrips, Thrips palmi Karny (Thysanoptera: Thripidae) affecting vegetables in south Florida. Proceedings of the Florida State Horticultural Society 105: 315–319. Google Scholar

36.

Seal DR, Ciomperlik MA, Richards ML, Klassen W. 2006. Distribution of chili thrips Scirtothrips dorsalis (Thysanoptera: Thripidae) in pepper fields and pepper plants on St. Vincent. Florida Entomologist 89: 311–320. Google Scholar

37.

Silagyi AJ, Dixon WN. 2006. Assessment of chili thrips, Scirtothrips dorsalis Hood. #2006-08-SDS-01, Florida Cooperative Agricultural Pest Survey (CAPS), Florida Division of Plant Industry, Gainesville,  http://mrec.ifas.ufl.edu/lso/DOCUMENTS/S%20dorsalis%20write-up%2010-2-2006%20FINAL.pdf (last accessed 28 Aug 2012). Google Scholar

38.

Singh H. 2005. Thrips incidence and necrosis disease in sunflower, Helianthus annuus L. Journal of Oilseeds Research 22: 90–92. Google Scholar

39.

Slansky JF, Rodriquez JG. 1987. Nutritional Ecology of Insects, Mites, Spiders, and Related Invertebrates. John Wiley and Sons, New York, New York. Google Scholar

40.

Taylor LR. 1974. Insect migration, flight periodicity, and the boundary layer. Journal of Animal Ecology 43: 225–238. Google Scholar

41.

Tsuchiya M, Masui S, Kuboyama N. 1995. Color attraction of yellow tea thrips (Scirtothrips dorsalis Hood). Japanese Journal of Applied Entomology and Zoology 39: 299–303. Google Scholar

42.

Varadharajan S, Veeravel R. 1995. Population dynamics of chili thrips Scirtothrips dorsalis Hood in Annamalainagar. Indian Journal of Ecology 22: 27–30. Google Scholar

43.

Venette RC, Davis EE. 2004. Chili thrips/yellow tea thrips Scirtothrips dorsalis Hood (Thysanoptera: Thripidae) mini pest risk assessment. University of Minnesota, St. Paul, Minnesota. Google Scholar
Andrew I. Derksen, Catharine M. Mannion, Dakshina R. Seal, Lance S. Osborne, and Cliff G. Martin "Direction and Timing of Dispersal of Scirtothrips dorsalis (Thysanoptera: Thripidae) on Select Ornamental Host Plant Species in South Florida," Florida Entomologist 99(4), 710-717, (1 December 2016). https://doi.org/10.1653/024.099.0421
Published: 1 December 2016
KEYWORDS
chilli thrips
Conocarpus erectus
rosa
Schefflera arboricola
Back to Top