Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Seasonal Reproductive Biology of Drosophila suzukii (Diptera: Drosophilidae) in Temperate Climates

Seasonal Reproductive Biology of Drosophila suzukii (Diptera: Drosophilidae) in Temperate Climates Abstract Drosophila suzukii (Matsumura; Diptera: Drosophilidae) is a key pest of sweet cherry and small fruits worldwide. The present studies were designed to describe the reproductive physiology in both sexes, through dissections of their reproductive organs. We extensively dissected female D. suzukii throughout the season from 2013 to 2016 and classified the reproductive status flies based on five recognizable ovarian maturation stages: 1) no ovaries; 2) unripe ovaries 3) ripening eggs in ovarioles; 4) mature eggs in ovarioles; and 5) mature eggs in the abdomen. Development was examined as a function of calendar days as well as degree-days (DD). Results obtained from winter collections revealed that females collected from November to March contained a lower percentage of mature eggs than females collected from April to September. These data suggest that environmental conditions during the dormant period induce reproductive diapause. Oogenesis likely increased with an increase in mean monthly temperatures and DD. The first overwintered females with mature eggs were dissected as early as 21 February 2014 in Trento (7 DD). Additionally, we found that a low proportion of males (less than 50%) had sperm in their testes between January and March, yet during the same period females already have sperm stored in their spermathecal. Ivy berries was an alternative but unfavorable non-crop host during the late dormant period, as evidenced by emergence of smaller adults when compared to individuals emerging from cherry fruits. This study showed that D. suzukii females have great potential for oviposition early in the season, posing a risk to early season maturing crop hosts. Drosophila suzukii (Matsumura; Diptera: Drosophilidae) shows the ability to adapt to changes in climate (Shearer et al. 2016) and flies, which adapt and survive harsh conditions, can damage multiple susceptible crops in subsequent seasons in all major production regions (Asplen et al. 2015). In 2011, the economic losses attributable to D. suzukii were estimated at 3 million Euros (De Ros et al. 2015). Observations about its seasonal reproductive biology is essential to inform growers how to best manage D. suzukii with particular focus on the important, albeit less studied, winter bottleneck period (Dalton et al. 2011, Stephens et al. 2015, Shearer et al. 2016, Wiman et al. 2016, Enriquez and Colinet 2017). Effective management of damaging pest populations of D. suzukii can benefit producers, extension agents and practitioners, especially if we can identify key periods in the insect’s lifecycle to target management (Focks et al. 1995, Almeida et al. 2010, Jones and Wiman 2012, Cianci et al. 2013). Climate-based risk models using the accumulation of heat units or cumulative degree-days (DD) (Baskerville and Emin 1969, Wilson and Barnett 1983) are often used to determine the timing of management for pests. Such risk models can be used to estimate when the first susceptible crops will be attacked (Zalom et al. 1983). Knowledge of seasonal pest biology can help direct pest management techniques to target a certain time of the season or life stage in order to maximize the impact of such techniques. Previous data have shown that D. suzukii has high reproductive levels and a short lifecycle. The population moves through generations rapidly and generations quickly begin to overlap, resulting in significantly restricted management options (Emiljanowicz et al. 2014, Kinjo et al. 2014, Tochen et al. 2014, Wiman et al. 2016). DD phenology models tend to decrease in applicability for pests that show these characteristics. However, DD accumulation may be of particular use in the case of D. suzukii during the early portion of the season because generations do not yet overlap and synchrony is visible after the winter diapause period (Dalton et al. 2011, Stephens et al. 2015, Shearer et al. 2016, Wiman et al. 2016, Enriquez and Colinet 2017). The most useful knowledge from DD accumulation is therefore gained when looking at the period leading to an increase of more favorable conditions when the first susceptible crops become available. Yet, little information is available on whole-season reproductive biology of D. suzukii as it relates to climate, and specifically the dormant reproductive biology of D. suzukii in temperate regions. Adult winter morph flies, which develop under low temperatures, have the ability to survive cold winter conditions (Shearer et al. 2016, Wallingford and Loeb 2016), but the reproductive status of males and females during these time periods (winter and early spring) is not well understood. Recent studies show that the reproductive status of D. suzukii shifts from relatively low ovarian and egg maturity levels to higher levels of maturity as the season progresses from winter to spring and summer (Zerulla et al. 2015, Rossi Stacconi et al. 2016, Ryan et al. 2016, Wiman et al. 2016). Major factors that affect D. suzukii during the winter include abiotic factors of temperature (Dalton et al. 2011, Ryan et al. 2016) and humidity (Gutierrez et al. 2016, Shearer et al. 2016, Tochen et al. 2016b), as well as the presence of essential food resources (Kimura 2004, Mitsui et al. 2006, Mitsui et al. 2007, Lee et al. 2015, Briem et al. 2016, Tochen et al. 2016a). Although DD phenology models may have limited application toward the end of the growing season for a pest such as D. suzukii, accumulation of heat units during spring can play an important role in forecasting risk of crop infestation. Temperature-dependent development, survival, and reproductive data are available for all life stages of D. suzukii during the summer season under controlled conditions (Emiljanowicz et al. 2014, Tochen et al. 2014, Hardin et al. 2015, Jaramillo et al. 2015). Field observations have also shown that D. suzukii goes through reproductive diapause during the winter (Shearer et al. 2016, Wallingford and Loeb 2016). Recent D. suzukii modeling has used a combination of mean temperature and calendar-based matrices (Wiman et al. 2014, Asplen et al. 2015). The demographic model produced by Wiman et al. (2016) described the progression of ovarian maturation time from the United States and Northern Italy and indicates a linear temperature-dependent increase in reproductive maturity. This model takes into consideration winter survival, early-season reproductive potential and to a limited extent the availability of hosts (Dalton et al. 2011, Lee et al. 2015, Kaçar et al. 2016). The consistency and ecological consequences of the data over many seasons have not been demonstrated; however, further modeling using a population-based demographic model highlights the contribution of the cold-tolerant D. suzukii winter morph toward rapid population growth during springtime in regions of Europe and North America that experience cold winters (Gutierrez et al. 2016). Management strategies for D. suzukii include chemical (Beers et al. 2011, Bruck et al. 2011, Van Timmeren and Isaacs 2013, Wise et al. 2015), biological (Chabert et al. 2012; Rossi Stacconi et al. 2013, 2015; Cancino et al. 2015; Gabarra et al. 2015; Miller et al. 2015; Nomano et al. 2015; Daane et al. 2016; Mazzetto et al. 2016; Wang et al. 2016) and cultural (Lee et al. 2016, Tochen et al. 2016b) controls. Other potential control strategies currently being investigated include molecular techniques such as gene modification using CRISPR technologies (Li and Scott 2016, Kalajdzic and Schetelig 2017), RNAi biopesticides (Murphy et al. 2016), and sterile insect technique (SIT, Schetelig and Handler 2013). Parasitoids known to attack D. suzukii have been identified in areas of recent pest invasion (Miller et al. 2015). However, parasitoid success appears generally lower in these regions compared to levels observed in the indigenous range of the pest (Kacsoh and Schlenke 2012, Rossi Stacconi et al. 2015, Daane et al. 2016). In North America and Europe, specialist parasitoid species are absent. These agents may contribute to an overall reduction in local D. suzukii populations (Miller et al. 2015, Rossi Stacconi et al. 2015, 2017, Wang et al. 2016, Biondi et al. 2017). It is therefore also important from a biological control perspective to determine the lower temperature threshold for possible egg-laying and larval development in order to optimize different biological control strategies. The goal of this paper is to provide key insights into how physiological time can be utilized to better understand survival, reproductive status (Avanesyan et al. 2017), and oviposition of D. suzukii in changing environments. We specifically ask if 1) there are differences in female ovarian development throughout the year, 2) if females retain sperm from males during different times of the year, 3) if males produce sperm throughout the year, and 4) whether there is early oviposition on ivy (Hedera helix L.) and to determine risk of oviposition on early commercial cherry (Prunus avium L.). Data analysis here is focused on environmental conditions during the latter portion of winter and early spring coupled with physiological time (DD accumulation) as a determinant factor of female reproductive status. Materials and Methods Male and female D. suzukii were collected in an area-wide monitoring program in northern Italy during 2013–2016 using traps baited with Droskidrink (Azienda Agricola Prantil, Priò, Trento, Italy). The traps were deployed in six sites (Table 1) and serviced weekly for the duration of the experimental period. D. suzukii females used for ovaria dissections were stored 3–4 wk at laboratory conditions (15–25°C), using a 70% alcohol solution as storage medium (Carson and Cappellano 2014). The storage method and time showed minimal impact on the integrity of the reproductive structures (Grassi unpublished). Individuals used for sperm status investigation (both females and males) were similarly kept in physiological saline (0.9% sodium chloride in water solution) and analyzed within 2 d in order to prevent sperm deterioration. Population-level reproductive status was assessed under three criteria: ovarian development in females, presence of sperm in spermatheca and/or in seminal receptacle in females, and presence of sperm in testes in males. Table 1. D. suzukii sampling location, and potential hosts in Trento Province, Italy during 2013–2016 Location  Elevation  GPS coordinates  Hosts  Dissected sex  Trento/Fersinaa  207 m asl  46° 3′15.26″N  11° 7′24.20″E  Ivy  Male, Female  Trento/Orrido  330 m asl  46° 4′31.11″N  11° 9′6.58″E  Ivy, Cherry  Female  Sersoa  600 m asl  46° 4′24.81″N  11°14′47.63″E  Cherry  Female  St. Michelea  250 m asl  46°11′34.63″N  11° 8′22.90″E  Cherry  Female  Romagnanoa  190 m asl  46° 0′26.49″N  11° 7′3.09″E  Cherry  Female  Canalea  500 m asl  46° 2′23.08″N  11°13′31.36″E  Cherry  Female  Location  Elevation  GPS coordinates  Hosts  Dissected sex  Trento/Fersinaa  207 m asl  46° 3′15.26″N  11° 7′24.20″E  Ivy  Male, Female  Trento/Orrido  330 m asl  46° 4′31.11″N  11° 9′6.58″E  Ivy, Cherry  Female  Sersoa  600 m asl  46° 4′24.81″N  11°14′47.63″E  Cherry  Female  St. Michelea  250 m asl  46°11′34.63″N  11° 8′22.90″E  Cherry  Female  Romagnanoa  190 m asl  46° 0′26.49″N  11° 7′3.09″E  Cherry  Female  Canalea  500 m asl  46° 2′23.08″N  11°13′31.36″E  Cherry  Female  aSites used for climate and reproductive status correlation. View Large Ovary Dissection At least 31 female D. suzukii ovaries were dissected monthly in order to determine the reproductive status of local populations throughout the year. These assessments were conducted in six locations (Table 1) from January 2013 until December 2016. Individual female D. suzukii were classified based on five recognizable ovarian maturation stages (Fig. 1a–d, Boulétreau 1978): Fig. 1. View largeDownload slide (a) Unripe ovaries (UOv) of female Drosophila suzukii: Ovaries were found, but no developing ovarioles could be seen when dissected. Common (CO) and lateral (LO) oviducts are visible. (b) Ripening ovarioles (ROv): Small developing ovarioles are recognizable, but no breathing tubes (spiracles) were visible on the eggs. (c) Mature ovarioles (MOv): when dissecting the ovaries, both ripening eggs (RE) and mature eggs (ME) bearing spiracles (S) were visible, but none of these eggs were found in the abdomen. (d) Free mature eggs in the abdomen (FME): All of the mature eggs with visible spiracles (S) were found in the abdomen and not in the ovaries. SR: Seminal Receptacle, Sp: Spermathecae, Ut: Uterus, An: Anus, Op: Ovipositor. Photos: A. Grassi. Fig. 1. View largeDownload slide (a) Unripe ovaries (UOv) of female Drosophila suzukii: Ovaries were found, but no developing ovarioles could be seen when dissected. Common (CO) and lateral (LO) oviducts are visible. (b) Ripening ovarioles (ROv): Small developing ovarioles are recognizable, but no breathing tubes (spiracles) were visible on the eggs. (c) Mature ovarioles (MOv): when dissecting the ovaries, both ripening eggs (RE) and mature eggs (ME) bearing spiracles (S) were visible, but none of these eggs were found in the abdomen. (d) Free mature eggs in the abdomen (FME): All of the mature eggs with visible spiracles (S) were found in the abdomen and not in the ovaries. SR: Seminal Receptacle, Sp: Spermathecae, Ut: Uterus, An: Anus, Op: Ovipositor. Photos: A. Grassi. 1) No ovaries—No ovaries present in the abdomen. 2) Unripe ovaries—Ovaries present, but no developing ovarioles (eggs) visible upon dissection (Fig. 1a). 3) Ripening eggs in ovarioles—Small developing ovarioles recognizable, but no breathing tubes (spiracles) visible (Fig. 1b). 4) Mature eggs in ovarioles—Spiracles visible when dissecting eggs in ovaries, but no free eggs in the oviducts or in the uterus, classified as mature (Fig. 1c). 5) Mature eggs outside ovaries (abdominal)—Mature eggs released in the oviducts or in the uterus (Fig. 1d). Determination of Sperm Presence in Females and Males In order to determine the percentage of individuals containing sperm, a minimum of 18 females and 12 males were dissected during each monthly increment from 2015 to 2017 and 2016 to 2017, respectively using methods similar to Avanesyan et al. (2017). The presence of sperm within the dissected structures was verified by direct observation of the typical striated masses under a dissecting microscope at 400× magnification (OPTIKA SRL, Ponteranica, BG, Italy). For females, both the spermatheca and the seminal receptacle were stained in a 2% aceto-orcein solution and mounted on glass slides with glycerol (Fig. 2a and b). For males, testes were dissected and directly observed in physiological saline (Fig. 3). Fig. 2. View largeDownload slide Spermatozoa (arrows) in dissected spermatheca (a) and seminal receptacle (b) of female Drosophila suzukii. Photos: A. Gottardello. Fig. 2. View largeDownload slide Spermatozoa (arrows) in dissected spermatheca (a) and seminal receptacle (b) of female Drosophila suzukii. Photos: A. Gottardello. Fig. 3. View largeDownload slide Dissected testes and striated spermatozoa masses of male Drosophila suzukii. The insert shows intact testis. Photos: A. Gottardello. Fig. 3. View largeDownload slide Dissected testes and striated spermatozoa masses of male Drosophila suzukii. The insert shows intact testis. Photos: A. Gottardello. Early Oviposition on Ivy and Risk of Oviposition on Early Commercial Cherry During 14 March to 18 May 2016, ivy fruit were collected at Trento/Orrido (Table 1) in order to determine natural levels of infestation with D. suzukii. Each randomly collected fruit sample consisted of a minimum of 100 berries. Fruits were inspected under a dissecting stereo-microscope in the laboratory in order to determine D. suzukii egg or larval presence. All infested berries were incubated in sealed polythene bags together with water-soaked paper under laboratory conditions (20 ± 5°C, 45 ± 20% RH and 16:8 [L:D] h photoperiod). The bags were inspected twice per week in order to determine adult D. suzukii eclosion. Fruit firmness was additionally determined on 25 uninfested berries using a 1.5 mm diameter blunt point digital penetrometer (TR Turoni, Italy). The average size of D. suzukii individuals emerging from ivy berries was compared with the size of individuals reared on commercial cherries (P. avium). For both fruit types, a minimum of 16 individuals of each sex was analyzed. The length of the M1 longitudinal wing vein was used as reference parameter and measured using the Leica Application Suite 3.2.1 software (Leica Microsystems Inc, Buffalo Grove, IL). DD Calculation The single sine method of DD calculation (Baskerville and Emin 1969) was used with lower, 7.2°C, and upper, 30.0°C, horizontal cutoffs optimized for D. suzukii (Tochen et al. 2014) to estimate DD accumulation for this insect in Trento/Orrido during 2016. The early maturing ‘Chelan’ cherry cv. phenology was correlated to DD accumulation, showing clear trends of cherry fruit development coupled with an increase in DD (D. Gibeaut, unpublished data). Cumulated DD calculations for cherry in Trento/Orrido were used for to estimate the early maturing of fruit of cv. ‘Ferrovia’ grown in this region during 2016. Statistical Analysis The reproductive status of the collected individuals from all sites was grouped monthly and the percentage of each maturation stage was represented as a fraction of the whole dissected population for that corresponding month. These data are presented together with the mean daily temperatures for these regions (Fig. 4). Fig. 4. View largeDownload slide Seasonal reproductive status of dissected female Drosophila suzukii and mean daily temperature in °C from 2013 to 2016 in Trento Province, Northern Italy. Fig. 4. View largeDownload slide Seasonal reproductive status of dissected female Drosophila suzukii and mean daily temperature in °C from 2013 to 2016 in Trento Province, Northern Italy. Daily average temperatures from the five highlighted sites in Trentino, Northern Italy were collected from January 2013 to December 2016 (Table 1, Fig. 4). These data allowed the calculation of monthly cumulative DD values with a biofix of 1 January of each year. These reproductive status and cumulative monthly DD data for each region were regressed to estimate the relationship of DD accumulated from 1 January in Trento Province and the five highlighted sites in Northern Italy as a predictor of percent D. suzukii ovarian development. The percentage of female D. suzukii individuals in each ovarian maturation stage was correlated with the DD accumulation using simple multiple regression. Differences in the reproductive status of the dissected organs (ovaria, spermathecae and seminal receptacle for females and testes for males) were analyzed using one-way ANOVA followed by Tukey’s HSD test to determine differences between months of the year. Levene’s test for homogeneity of variances of the mean monthly temperature and reproductive status were conducted in order to highlight differences between years. All analyses were run using the statistics software Statistica 7 (StatSoft. Inc., Tulsa, OK). Results Ovaria Dissection The reproductive status of female D. suzukii provided a consistent trend of increasing maturity levels coupled with increasing temperatures and DD (Figs. 4 and 5). Levene’s test for homogeneity of variances of the mean monthly temperatures for each year showed that year had no significant impact on temperature. Monthly temperatures were significantly different (F11,31 = 55.376, P < 0.001, differences not shown in Fig. 5a). The statistically lowest temperatures were found from December to February (−2.3 to 1°C). Medium temperatures were found in March, April, and September (5.2 to 8.2°C). Higher temperatures were found in May, June and August (11.1 to 14.1°C). The highest mean temperatures were recorded during July (16.2°C). The linear regression for the region describing the correlation of temperature on egg maturity is y = 3.0547x + 8.8783 (F1,10 = 50.93, R2 = 0.84, P < 0.038, Fig. 5b). During the dormant period (from November to February) less than 10% of the analyzed females carried mature eggs (Fig. 5a). This percentage increased to more than 50% during spring (March–May) and decreased to less than 20% during fall (September–November). In all years, mean temperatures above 10°C resulted in more than 50% females carrying mature eggs (Fig. 5). Levels of mature eggs decreased below 50% at lower temperatures. When examining egg dissections over cumulative DD in the five highlighted sites of Trento province, Northern Italy beginning 1 January each year, the percentage of D. suzukii with mature eggs showed significant linear relationships for all of the regions (Fig. 6, Table 3). The first flies containing mature eggs all occurred at levels just above 0 DD. Overall, the earliest increase of mature eggs was found at Serso on 21 February 2014 (3 DD), and at St. Michele as late as 15 April 2016 (206 DD). For Trento province overall, the proportion of overwintered females with mature eggs numerically start an increase at 21 February 2014 (24 DD). Fig. 5. View largeDownload slide (a) Monthly average percent (2013–2016) Drosophila suzukii females with mature eggs in Trento Province, Northern Italy. For each column, different letters indicate significant differences (P < 0.05) after ANOVA followed by Tukey’s HSD test. (b) Correlation between the average monthly temperature in Trento Province during 2013–2016 and the percentage of D. suzukii females with mature eggs. Fig. 5. View largeDownload slide (a) Monthly average percent (2013–2016) Drosophila suzukii females with mature eggs in Trento Province, Northern Italy. For each column, different letters indicate significant differences (P < 0.05) after ANOVA followed by Tukey’s HSD test. (b) Correlation between the average monthly temperature in Trento Province during 2013–2016 and the percentage of D. suzukii females with mature eggs. Fig. 6. View largeDownload slide Percentage of Drosophila suzukii with mature eggs over accumulated degree-days from January 1 (Lower and upper thresholds for SWD is set at 7.2 and 30°C, respectively) in Trento Province, Northern Italy (a), and in five production sites (b–f) at different altitudes during 2013–2016. Fig. 6. View largeDownload slide Percentage of Drosophila suzukii with mature eggs over accumulated degree-days from January 1 (Lower and upper thresholds for SWD is set at 7.2 and 30°C, respectively) in Trento Province, Northern Italy (a), and in five production sites (b–f) at different altitudes during 2013–2016. Table 2. Drosophila suzukii (SWD) sampling date, physiological age (DD), reproductive maturity, and commercial cherry phenology estimations together with percent infested ivy berries in Trento/Orrido, Italy during 2016 Sampling date  SWD DD  Estimated SWD with mature eggs (%)  Estimated (Chelan) cherry phenology stage  % infested ivy berries (min 100 berries)  Ivy berries firmness (cN)  14 Mar. 2016  68  5.47  Bloom  0.0    11 April 2016  242  33.51  Post bloom  3.8  nr  12 April 2016  250  34.88    1.3  nr  19 April 2016  315  45.48    14.5  53.35  26 April 2016  361  53.01    27.3  58.64  2 May 2016  389  57.28    21.3  55.80  8 May 2016      Hard green      18 May 2016  521  62.07    31.7  nr  22 May 2016      Straw      27 May 2016      Ruby      Sampling date  SWD DD  Estimated SWD with mature eggs (%)  Estimated (Chelan) cherry phenology stage  % infested ivy berries (min 100 berries)  Ivy berries firmness (cN)  14 Mar. 2016  68  5.47  Bloom  0.0    11 April 2016  242  33.51  Post bloom  3.8  nr  12 April 2016  250  34.88    1.3  nr  19 April 2016  315  45.48    14.5  53.35  26 April 2016  361  53.01    27.3  58.64  2 May 2016  389  57.28    21.3  55.80  8 May 2016      Hard green      18 May 2016  521  62.07    31.7  nr  22 May 2016      Straw      27 May 2016      Ruby      View Large Table 3. Percent Drosophila suzukii with mature eggs using egg dissections over accumulated degree-days from 1 January (Lower and upper thresholds for SWD is set at 7.2 and 30°C, respectively) in Trento Province, Northern Italy (Fig. 6a), and five highlighted production regions within Trento Province (Fig. 6b–f) at different altitudes during 2013–2016 Location  Descriptive function  Statistical parameters  Trento Province  y = 0.1887x − 0.9061  F1,18 = 88.060, P < 0.001, R2 = 0.83  Romagnano  y = 0.1988x + 5.1634  F1,9 = 42.567, P < 0.001, R2 = 0.83  St.Michele  y = 0.1037x − 4.6318  F1,8 = 27.422, P < 0.001, R2 = 0.77  Trento/Fersina  y = 0.1717x − 5.4028  F1,13 = 154.43, P < 0.001, R2 = 0.92  Canale  y = 0.1039x + 1.6808  F1,11 = 38.351 P < 0.001, R2 = 0.78  Serso  y = 0.3076x − 5.3229  F1,8 = 45.364, P < 0.001, R2 = 0.85  Location  Descriptive function  Statistical parameters  Trento Province  y = 0.1887x − 0.9061  F1,18 = 88.060, P < 0.001, R2 = 0.83  Romagnano  y = 0.1988x + 5.1634  F1,9 = 42.567, P < 0.001, R2 = 0.83  St.Michele  y = 0.1037x − 4.6318  F1,8 = 27.422, P < 0.001, R2 = 0.77  Trento/Fersina  y = 0.1717x − 5.4028  F1,13 = 154.43, P < 0.001, R2 = 0.92  Canale  y = 0.1039x + 1.6808  F1,11 = 38.351 P < 0.001, R2 = 0.78  Serso  y = 0.3076x − 5.3229  F1,8 = 45.364, P < 0.001, R2 = 0.85  View Large Determination of Sperm Presence in Females and Males The monthly percentage of female D. suzukii with sperm within spermatheca and seminal vesicle dissections were significantly impacted by the month of dissection (F9,75 = 6.2, P < 0.001, Fig. 7a). The lowest levels of females with sperm were found from December to March. The numerically lowest levels of sperm were found in February. Increasing levels of sperm were found during April. The statistically highest levels of sperm were found from May to October and decreasing levels of sperm were found during November into December. Fig. 7. View largeDownload slide (a) Monthly percentage of Drosophila suzukii females with sperm within spermatheca and/or seminal receptacle in Trento Province, Northern Italy, during 2015–16. (b) Monthly percentage of D. suzukii males with sperm within testis in Trento Province, Northern Italy, during 2016–2017. (c) Ivy berry infection rate over degree-days for D. suzukii in Trento, Italy during 2016. (d) D. suzukii M1 wing vein measurements from Cherry and Ivy-reared individuals. For each column, different letters indicate significant differences (P < 0.05) after ANOVA followed by Tukey’s HSD test. Fig. 7. View largeDownload slide (a) Monthly percentage of Drosophila suzukii females with sperm within spermatheca and/or seminal receptacle in Trento Province, Northern Italy, during 2015–16. (b) Monthly percentage of D. suzukii males with sperm within testis in Trento Province, Northern Italy, during 2016–2017. (c) Ivy berry infection rate over degree-days for D. suzukii in Trento, Italy during 2016. (d) D. suzukii M1 wing vein measurements from Cherry and Ivy-reared individuals. For each column, different letters indicate significant differences (P < 0.05) after ANOVA followed by Tukey’s HSD test. The monthly percentage of male D. suzukii with sperm within testes was significantly impacted by the month of dissection (F8,24 = 4.6, P = 0.002, Fig. 7b). The lowest proportion of males with sperm was found in March. The numerically lowest levels of sperm were found during January. Slightly higher levels of sperm were found from April to December. Overall, the statistically highest levels of sperm were found from April to December. Early Oviposition on Ivy and Risk of Oviposition on Early Commercial Cherry The ivy berries collected at Trento/Orrido from 14 March to 18 May 2016 showed increasing infestation with D. suzukii starting at 68 DD and increased to peak infestations at 521 DD (Fig. 7c, Table 2). Fruit firmness during this period was never less than 53.3cN. Cumulative DD was a significant predictor of higher ivy fruit infestation over time. The simple regression describing this correlation (Fig. 7c) is y = 0.1002x − 12.845 (F1,5 = 15.87, P < 0.01, R2 = 0.76). Measurements of wing length from ivy berries and cherry fruit showed significant differences based on host fruit and insect gender (F1,77 = 79.03, P < 0.001, F1,77 = 88.89, P < 0.001, Fig. 7d). Emerged adults from ivy berries were smaller than those emerging from cherry fruit, and males were smaller than females. Cherry and ivy phenology in relation to D. suzukii physiological time (DD) showed that female D. suzukii are able to oviposit in ivy berries well before straw-yellow cherry fruit were expected to be susceptible to D. suzukii attack (Table 2). Discussion The data presented from four seasons of dissections provide a clear picture of D. suzukii reproductive biology throughout the year. The data from dissections suggest that female D. suzukii have significantly decreased levels of mature eggs during the dormant period (November to March), a factor that possibly contributes to D. suzukii reproductive diapause as indicated by lacking or little reproductive activity (Shearer et al. 2016, Wallingford and Loeb 2016). Previous studies (Shearer et al. 2016, Wallingford and Loeb 2016) described the impact of changing seasonal climates on morphology and physiology of D. suzukii. Here, we do not report this phenomenon, but unreported data collected during this study confirmed similar trends. The correlated temperature data strongly suggest that unfavorably low temperatures are a likely cause for this phenomenon. It is therefore likely that there is significantly decreased or absent oogenesis during this period. The percentage of females containing mature eggs conversely increased significantly with increasing mean monthly temperatures. This trend is consistent, even when taking into consideration slight variations of temperatures during the same months of different seasons. As shown in Fig. 4, there were slight differences in the percentage of females with mature eggs between years, namely, there were fewer females with abdominal eggs during the summer of 2015 compared to 2013 and 2014. These differences may be due to subtle changes in both late autumn and winter climatic conditions and variation in the onset of colder winter conditions. It is possible that these differences affect the demographic makeup and size of D. suzukii populations at the beginning of the spring period during the following season. This topic is outside of the scope of this paper, but warrants additional investigation. During the late dormant period in all seasons, there was an increase in the proportion of females with mature eggs coupled with increasing temperatures and DD, suggesting that oogenesis resumes as early as 59 DD. Overall, the lowest mean percentage of females with mature eggs was found in the month of February (3.3%). Dissected females on average never had lower than 32.14% individuals containing sperm (found in February), indicating that at least part of the population at this time of the year should be able to produce fertilized eggs. February is likely the month with the lowest reproductive potential for female D. suzukii populations when looking at both percentage of mature eggs and presence of sperm in the population as a whole in this region. This period also showed comparatively similar low sperm counts in male D. suzukii populations (January–March). These data support other earlier studies that the most important bottleneck period for D. suzukii pest populations in temperate climates is from January to March (Dalton et al. 2011, Stephens et al. 2015, Shearer et al. 2016, Wiman et al. 2016). Moreover, the low availability of males with sperm in females during this period indicates that females are potentially storing sperm from autumn mating. This stored sperm can be used by the females to fertilize mature eggs as soon as they break diapause without the need to mate with mature males in early spring. Mating behavior of D. suzukii at low temperatures need further study (Enriquez and Colinet 2017). The bottleneck periods are not only characterized by smaller D. suzukii populations and low temperatures, but also by limited availability of alternate hosts. The collected data strongly support the supposition that ivy berries can serve as a non-crop host during the late dormant period during the latter portion of the bottleneck period. Ivy berries are clearly not the most suitable host for D. suzukii development as indicated by the significantly smaller wing measurements in comparison to flies reared on P. avium. Presence of ivy berries may nevertheless allow for D. suzukii populations to persist and reproduce during the late dormant periods at lower numbers. The findings that ivy is attacked during the late dormant period suggest that even the earliest commercially produced fruit stand the risk of being attacked by D. suzukii as they ripen. Cherries are generally among the first commercially produced susceptible crops of the early season. D. suzukii emerged from ivy berries as early as 223 DD (11 April 2015), although dissections suggest that females are physiologically able to lay eggs as early as 3 DD. Both cherry phenology models and observations from the region suggest that cherry fruit become available and are susceptible to D. suzukii attack much later than ivy (18 May, 390 DD for D. suzukii on cherry fruit), as this is when fruit become softer and have higher sugar levels (Lee et al. 2011, Burrack et al. 2013, Lee et al. 2016). Assessment of female and male D. suzukii reproductive biology improves key knowledge about the abilities of early-season populations to utilize non-commercial hosts. This information will aid in the development of new strategies to control the pest. Overall, the alternate host data on ivy illustrate that D. suzukii is able to persist at smaller population levels and are very adaptable to low temperatures, together with several additional studies (Dalton et al. 2011, Stephens et al. 2015, Shearer et al. 2016, Wiman et al. 2016, Enriquez and Colinet 2017). It is clear that D. suzukii can utilize a wide range of host fruits and can maintain low population levels, even in very harsh conditions where there is limited fruit coupled with suboptimal temperatures. Aside from fruit, it has been demonstrated that D. suzukii can utilize non-fruit nectar and saps, as is found in pollen and nectar of cherries and blueberries, as well as extrafloral nectaries (Tochen et al 2016a). D. suzukii can clearly adapt to persist under relatively extreme bottleneck periods, allowing them to oviposit on very early ripening commercial crops. The impact of D. suzukii females containing lower fractions of sperm and mature egg loads need additional study. The information from this study clearly points towards the late dormant period as a time when both D. suzukii population levels and reproductive potential are low. It is very probable that control strategies including bait sprays, SIT, and biological control can be targeted during this period. These techniques, applied in the early spring and targeting early-season surviving fertile females, are expected to have a significant suppressant population impact. The observations from this study should incorporated into population models (Wiman et al. 2014, 2016; Gutierrez et al. 2016) and may contribute to make such models more precise and reliable at forecasting persistence of winter populations, and timing of population increase. Acknowledgments We wish to thank all the technical advisers of the Soft Fruits Unit and the colleagues of the Organic Agriculture Unit at the Technology Transfer Centre of the Edmund Mach Foundation for their precious help in the territorial monitoring activity of Drosophila suzukii. Funding for research in the United States was provided from the USDA-NIFA award # 2010-51181-21167, 2015-51181-24252, USDA OREI #2014-51300-22238 and USDA NWCSFR. In Italy this research was partially funded by the Autonomous Province of Trento (Italy) (Accordo di Programma) and research funds from the Grandi Progetti, Project LExEM (Laboratory of excellence for epidemiology and modeling, http://www.lexem.eu). We thank the Oregon State Blueberry Commission. References Cited Almeida, S. J. de, Martins Ferreira R. P., Eiras Á. E., Obermayr R. P., and Geier M.. 2010. Multi-agent modeling and simulation of an Aedes aegypti mosquito population. Environ. Modell. Softw . 25: 1490– 1507. Google Scholar CrossRef Search ADS   Asplen, M. K., Anfora G., Biondi A., Choi D.-S., Chu D., Daane K. M., Gibert P., Gutierrez A. P., Hoelmer K. A., Hutchison W. D.,et al.   2015. Invasion biology of spotted wing Drosophila (Drosophila suzukii): a global perspective and future priorities. J. Pest. Sci . 88: 469– 494. Google Scholar CrossRef Search ADS   Avanesyan, A., Jaffe B. D., and Guédot C.. 2017. Isolating spermathecae and determining mating status of Drosophila suzukii: a protocol for tissue dissection and its applications. Insects . 8: 32. Google Scholar CrossRef Search ADS   Baskerville, G. L., and Emin P.. 1969. Rapid estimation of heat accumulation from maximum and minimum temperatures. Ecology . 50: 514– 517. Google Scholar CrossRef Search ADS   Beers, E. H., Van Steenwyk R. A., Shearer P. W., Coates W. W., and Grant J. A.. 2011. Developing Drosophila suzukii management programs for sweet cherry in the western United States. Pest. Manag. Sci . 67: 1386– 1395. Google Scholar CrossRef Search ADS PubMed  Biondi, A., Wang X., Miller J. C., Miller B., Shearer P. W., Zappalà L., Siscaro G., Walton V. W., Hoelmer K. A., and Daane K. M.. 2017. Innate olfactory responses of Asobara japonica toward fruits infested by the invasive spotted wing Drosophila. J. Insect. Behav . 30: 495– 506. Google Scholar CrossRef Search ADS   Boulétreau, J. 1978. Ovarian activity and reproductive potential in a natural population of Drosophila melanogaster. Oecologia . 35: 319– 342. Google Scholar CrossRef Search ADS PubMed  Briem, F., Eben A., Gross J., and Vogt H.. 2016. An invader supported by a parasite: Mistletoe berries as a host for food and reproduction of spotted wing Drosophila in early spring. J. Pest. Sci . 89: 749– 759. Google Scholar CrossRef Search ADS   Bruck, D. J., Bolda M., Tanigoshi L., Klick J., Kleiber J., DeFrancesco J., Gerdeman B., and Spitler H.. 2011. Laboratory and field comparisons of insecticides to reduce infestation of Drosophila suzukii in berry crops. Pest. Manag. Sci . 67: 1375– 1385. Google Scholar CrossRef Search ADS PubMed  Burrack, H. J., Fernandez G. E., Spivey T., and Kraus D. A.. 2013. Variation in selection and utilization of host crops in the field and laboratory by Drosophila suzukii Matsumara (Diptera: Drosophilidae), an invasive frugivore. Pest. Manag. Sci . 69: 1173– 1180. Google Scholar CrossRef Search ADS PubMed  Cancino, M. D. G., A. G. Hernández, J. G. Cabrera, G. M. Carrillo, J. A. González S., and H. C. A. Bernal. 2015. Parasitoides de Drosophila suzukii (Matsumura) (Diptera: Drosophilidae) en Colima, México. Southwest-Entomol . 40: 855– 858. Google Scholar CrossRef Search ADS   Carson, F., and Cappellano C. H.. 2014. Histotechnology. A self-instructional text , 4th ed. American Society for Clinical Pathology, Chicago, IL. Chabert, S., Allemand R., Poyet M., Eslin P., and Gibert P.. 2012. Ability of european parasitoids (Hymenoptera) to control a new invasive Asiatic pest, Drosophila suzukii. Biol. Control . 63: 40– 47. Google Scholar CrossRef Search ADS   Cianci, D., Van Den Broek J., Caputo B., Marini F., Torre A. D., Heesterbeek H., and Hartemink N.. 2013. Estimating mosquito population size from mark–release–recapture data. J. Med. Entomol . 50: 533– 542. Google Scholar CrossRef Search ADS PubMed  Daane, K. M., Wang X.-G., Biondi A., Miller B., Miller J. C., Riedl H., Shearer P. W., Guerrieri E., Giorgini M., Buffington M.,et al.   2016. First exploration of parasitoids of Drosophila suzukii in South Korea as potential classical biological agents. J. Pest. Sci . 89: 823– 835. Google Scholar CrossRef Search ADS   Dalton, D. T., Walton V. M., Shearer P. W., Walsh D. B., Caprile J., and Isaacs R.. 2011. Laboratory survival of Drosophila suzukii under simulated winter conditions of the Pacific Northwest and seasonal field trapping in five primary regions of small and stone fruit production in the United States. Pest. Manag. Sci . 67: 1368– 1374. Google Scholar CrossRef Search ADS PubMed  De Ros, G., Conci S., Pantezzi T., and Savini G.. 2015. The economic impact of invasive pest Drosophila suzukii on berry production in the province of Trento, Italy. J. Berry. Res . 5: 89– 96. Google Scholar CrossRef Search ADS   Emiljanowicz, L. M., Ryan G. D., Langille A., and Newman J.. 2014. Development, reproductive output and population growth of the fruit fly pest Drosophila suzukii (Diptera: Drosophilidae) on artificial diet. J. Econ. Entomol . 107: 1392– 1398. Google Scholar CrossRef Search ADS PubMed  Enriquez, T., and Colinet H.. 2017. Basal tolerance to heat and cold exposure of the spotted wing drosophila, Drosophila suzukii. Peerj . 5: e3112. Google Scholar CrossRef Search ADS PubMed  Focks, D. A., Daniels E., Haile D. G., and Keesling J. E.. 1995. A Simulation model of the epidemiology of urban dengue fever: literature analysis, model development, preliminary validation, and samples of simulation results. Am. J. Trop. Med. Hyg . 53: 489– 506. Google Scholar CrossRef Search ADS PubMed  Gabarra, R., Riudavets J., Rodríguez G. A., Pujade-Villar J., and Arnó J.. 2015. Prospects for the biological control of Drosophila suzukii. BioControl . 60: 331– 339. Google Scholar CrossRef Search ADS   Gutierrez, A. P., Ponti L., and Dalton D. T.. 2016. Analysis of the invasiveness of spotted wing Drosophila (Drosophila suzukii) in North America, Europe, and the Mediterranean basin. Biol. Invasions . 18: 3647– 3663. Google Scholar CrossRef Search ADS   Hardin, J. A., Kraus D. A., and Burrack H. J.. 2015. Diet quality mitigates intraspecific larval competition in Drosophila suzukii. Entomol. Exp. Appl . 156: 59– 65. Google Scholar CrossRef Search ADS   Jaramillo, S. L., Mehlferber E., and Moore P. J.. 2015. Life-history trade-offs under different larval diets in Drosophila suzukii (Diptera: Drosophilidae). Physiol. Entomol . 40: 2– 9. Google Scholar CrossRef Search ADS   Jones, V. P., and Wiman N. G.. 2012. Modeling the interaction of physiological time, seasonal weather patterns, and delayed mating on population dynamics of codling moth, Cydia pomonella (L.) (Lepidoptera: Tortricidae). Popul. Ecol . 54: 421– 429. Google Scholar CrossRef Search ADS   Kaçar, G., Wang X., Stewart T. J., and Daane K. M.. 2016. Overwintering survival of Drosophila suzukii (Diptera: Drosophilidae) and the effect of food on adult survival in California’s San Joaquin Valley. Environ. Entomol . 45: 763– 771. Google Scholar CrossRef Search ADS PubMed  Kacsoh, B. Z., and Schlenke T. A.. 2012. High hemocyte load is associated with increased resistance against parasitoids in Drosophila suzukii, a relative of D. melanogaster. Plos One . 7: e34721. Google Scholar CrossRef Search ADS PubMed  Kalajdzic, P., and Schetelig M. F.. 2017. CRISPR/Cas-mediated gene editing using purified protein in Drosophila suzukii. Entomol. Exp. Appl . 164: 350– 362. Google Scholar CrossRef Search ADS   Kimura, M. T. 2004. Cold and heat tolerance of drosophilid flies with reference to their latitudinal distributions. Oecologia . 140: 442– 449. Google Scholar CrossRef Search ADS PubMed  Kinjo, H., Kunimi Y., and Nakai M.. 2014. Effects of temperature on the reproduction and development of Drosophila suzukii (Diptera: Drosophilidae). Appl. Entomol. Zool . 49: 297– 304. Google Scholar CrossRef Search ADS   Lee, J. C., Bruck D. J., Curry H., Edwards D., Haviland D. R., Van Steenwyk R. A., and Yorgey B. M.. 2011. The susceptibility of small fruits and cherries to the spotted-wing drosophila, Drosophila suzukii. Pest. Manag. Sci . 67: 1358– 1367. Google Scholar CrossRef Search ADS PubMed  Lee, J. C., Dreves A. J., Cave A. M., Kawai S., Isaacs R., Miller J. C., Van Timmeren S., and Bruck D. J.. 2015. Infestation of wild and ornamental noncrop fruits by Drosophila suzukii (Diptera: Drosophilidae). Ann. Entomol. Soc. Am . 108: 117– 129. Google Scholar CrossRef Search ADS   Lee, J. C., Dalton D. T., Swoboda-Bhattarai K. A., Bruck D. J., Burrack H. J., Strik B. C., Woltz J. M., and Walton V. M.. 2016. Characterization and manipulation of fruit susceptibility to Drosophila suzukii. J. Pest. Sci . 89: 771– 780. Google Scholar CrossRef Search ADS   Li, F., and Scott M. J.. 2016. CRISPR/Cas9-mediated mutagenesis of the white and Sex lethal loci in the invasive pest, Drosophila suzukii. Biochem. Biophys. Res. C . 469: 911– 916. Google Scholar CrossRef Search ADS   Mazzetto, F., Marchetti E., Amiresmaeili N., Sacco D., Francati S., Jucker C., Dindo M. L., Lupi D., and Tavella L.. 2016. Drosophila parasitoids in northern Italy and their potential to attack the exotic pest Drosophila suzukii. J. Pest. Sci . 89: 837– 850. Google Scholar CrossRef Search ADS   Miller, B., Anfora G., Buffington M., Dalton D. T., Miller J. C., Wiman N. G., Walton V. M., and Al E.. 2015. Seasonal occurrence of resident parasitoids associated with Drosophila suzukii in two small fruit production regions of Italy and the USA. 68: 255– 263. Mitsui, H., Takahashi K. H., and Kimura M. T.. 2006. Spatial distributions and clutch sizes of Drosophila species ovipositing on cherry fruits of different stages. Popul. Ecol . 48: 233– 237. Google Scholar CrossRef Search ADS   Mitsui, H., Achterberg K. V., Nordlander G., and Kimura M. T.. 2007. Geographical distributions and host associations of larval parasitoids of frugivorous Drosophilidae in Japan. J. Nat. Hist . 41: 1731– 1738. Google Scholar CrossRef Search ADS   Murphy, K. A., Tabuloc C. A., Cervantes K. R., and Chiu J. C.. 2016. Ingestion of genetically modified yeast symbiont reduces fitness of an insect pest via RNA interference. Sci. Rep . 6. Nomano, F. Y., Mitsui H., and Kimura M. T.. 2015. Capacity of japanese asobara species (Hymenoptera; Braconidae) to parasitize a fruit pest Drosophila suzukii (Diptera; Drosophilidae). J. Appl. Entomol . 139: 105– 113. Google Scholar CrossRef Search ADS   Rossi Stacconi, M. V., Grassi A., Dalton D. T., Miller B., Ouantar M., Loni A., Ioriatti C., Walton V. M., and Anfora G.. 2013. First field records of Pachycrepoideus vindemiae as a parasitoid of Drosophila suzukii in European and Oregon small fruit production areas. Entomologia . 1: 3. Google Scholar CrossRef Search ADS   Rossi Stacconi, M. V., Buffington M., Daane K. M., Dalton D. T., Grassi A., Kaçar G., Miller B., Miller J. C., Baser N., Ioriatti C.,et al.   2015. Host stage preference, efficacy and fecundity of parasitoids attacking Drosophila suzukii in newly invaded areas. Biol. Control . 84: 28– 35. Google Scholar CrossRef Search ADS   Rossi Stacconi, M. V., Kaur R., Mazzoni V., Ometto L., Grassi A., Gottardello A., Rota-Stabelli O., and Anfora G.. 2016. Multiple lines of evidence for reproductive winter diapause in the invasive pest Drosophila suzukii: useful clues for control strategies. J. Pest. Sci . 89: 689– 700. Google Scholar CrossRef Search ADS   Rossi Stacconi, M. V., Panel A., Baser N., Ioriatti C., Pantezzi T., and Anfora G.. 2017. Comparative life history traits of indigenous Italian parasitoids of Drosophila suzukii and their effectiveness at different temperatures. Biol. Control  112: 20– 27. Google Scholar CrossRef Search ADS   Ryan, G. D., Emiljanowicz L., Wilkinson F., Kornya M., and Newman J. A.. 2016. Thermal tolerances of the spotted-wing Drosophila Drosophila suzukii (Diptera: Drosophilidae). J. Econ. Entomol . 109: 746– 752. Google Scholar CrossRef Search ADS PubMed  Schetelig, M. F., and Handler A. M.. 2013. Germline transformation of the spotted wing drosophilid, Drosophila suzukii, with a piggyBac transposon vector. Genetica . 141: 189– 193. Google Scholar CrossRef Search ADS PubMed  Shearer, P. W., West J. D., Walton V. M., Brown P. H., Svetec N., and Chiu J. C.. 2016. Seasonal cues induce phenotypic plasticity of Drosophila suzukii to enhance winter survival. BMC Ecology . 16: 11. Google Scholar CrossRef Search ADS PubMed  Stephens, A. R., Asplen M. K., Hutchison W. D., and Venette R. C.. 2015. Cold Hardiness of winter-acclimated Drosophila suzukii (Diptera: Drosophilidae) adults. Environ. Entomol . 44: 1619– 1626. Google Scholar CrossRef Search ADS PubMed  Tochen, S., Dalton D. T., Wiman N., Hamm C., Shearer P. W., and Walton V. M.. 2014. Temperature-related development and population parameters for Drosophila suzukii (Diptera: Drosophilidae) on cherry and blueberry. Environ. Entomol . 43: 501– 510. Google Scholar CrossRef Search ADS PubMed  Tochen, S., Walton V. M., and Lee J. C.. 2016a. Impact of floral feeding on adult Drosophila suzukii survival and nutrient status. J. Pest. Sci . 89: 793– 802. Google Scholar CrossRef Search ADS   Tochen, S., Woltz J. M., Dalton D. T., Lee J. C., Wiman N. G., and Walton V. M.. 2016b. Humidity affects populations of Drosophila suzukii (Diptera: Drosophilidae) in blueberry. J. Appl. Entomol . 140: 47– 57. Google Scholar CrossRef Search ADS   Van Timmeren, S., and Isaacs R.. 2013. Control of spotted wing drosophila, Drosophila suzukii, by specific insecticides and by conventional and organic crop protection programs. Crop. Protection . 54: 126– 133. Google Scholar CrossRef Search ADS   Wallingford, A. K., and Loeb G. M.. 2016. Developmental acclimation of Drosophila suzukii (Diptera: Drosophilidae) and its effect on diapause and winter stress tolerance. Environ. Entomol . 45: 1081– 1089. Google Scholar CrossRef Search ADS PubMed  Wang, X.-G., Kaçar G., Biondi A., and Daane K. M.. 2016. Foraging efficiency and outcomes of interactions of two pupal parasitoids attacking the invasive spotted wing drosophila. Biol. Control . 96: 64– 71. Google Scholar CrossRef Search ADS   Wilson, L., and Barnett W.. 1983. Degree-days: an aid in crop and pest management. Calif. Agric . 37: 4– 7. Wiman, N. G., Walton V. M., Dalton D. T., Anfora G., Burrack H. J., Chiu J. C., Daane K. M., Grassi A., Miller B., Tochen S.,et al.   2014. Integrating temperature-dependent life table data into a matrix projection model for Drosophila suzukii population estimation. Plos One . 9: e106909. Google Scholar CrossRef Search ADS PubMed  Wiman, N. G., Dalton D. T., Anfora G., Biondi A., Chiu J. C., Daane K. M., Gerdeman B., Gottardello A., Hamby K. A., Isaacs R.,et al.   2016. Drosophila suzukii population response to environment and management strategies. J. Pest. Sci . 89: 653– 665. Google Scholar CrossRef Search ADS   Wise, J. C., Vanderpoppen R., Vandervoort C., O’Donnell C., and Isaacs R.. 2015. Curative activity contributes to control of spotted-wing drosophila (Diptera: Drosophilidae) and blueberry maggot (Diptera: Tephritidae) in highbush blueberry. Can. Entomol . 147: 109– 117. Google Scholar CrossRef Search ADS   Zalom, F., Goodell P., Wilson L., Barnett W., and Bentley W.. 1983. Degree-Days, the Calculation and Use of Heat Units in Pest Management: University of California Division of Agriculture and Natural Resources Leaflet 21373 . University of California, Berkeley, CA. Zerulla, F. N., Schmidt S., Streitberger M., C. P. W. Zebitz, and Zelger R.. 2015. On the overwintering ability of Drosophila suzukii in South Tyrol. J. Berry. Res . 5: 41– 48. © The Author(s) 2017. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Environmental Entomology Oxford University Press

Seasonal Reproductive Biology of Drosophila suzukii (Diptera: Drosophilidae) in Temperate Climates

Loading next page...
 
/lp/ou_press/seasonal-reproductive-biology-of-drosophila-suzukii-diptera-s6RtkWvlTj

References (59)

Publisher
Oxford University Press
Copyright
© The Author(s) 2017. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
ISSN
0046-225X
eISSN
1938-2936
DOI
10.1093/ee/nvx195
pmid
29281089
Publisher site
See Article on Publisher Site

Abstract

Abstract Drosophila suzukii (Matsumura; Diptera: Drosophilidae) is a key pest of sweet cherry and small fruits worldwide. The present studies were designed to describe the reproductive physiology in both sexes, through dissections of their reproductive organs. We extensively dissected female D. suzukii throughout the season from 2013 to 2016 and classified the reproductive status flies based on five recognizable ovarian maturation stages: 1) no ovaries; 2) unripe ovaries 3) ripening eggs in ovarioles; 4) mature eggs in ovarioles; and 5) mature eggs in the abdomen. Development was examined as a function of calendar days as well as degree-days (DD). Results obtained from winter collections revealed that females collected from November to March contained a lower percentage of mature eggs than females collected from April to September. These data suggest that environmental conditions during the dormant period induce reproductive diapause. Oogenesis likely increased with an increase in mean monthly temperatures and DD. The first overwintered females with mature eggs were dissected as early as 21 February 2014 in Trento (7 DD). Additionally, we found that a low proportion of males (less than 50%) had sperm in their testes between January and March, yet during the same period females already have sperm stored in their spermathecal. Ivy berries was an alternative but unfavorable non-crop host during the late dormant period, as evidenced by emergence of smaller adults when compared to individuals emerging from cherry fruits. This study showed that D. suzukii females have great potential for oviposition early in the season, posing a risk to early season maturing crop hosts. Drosophila suzukii (Matsumura; Diptera: Drosophilidae) shows the ability to adapt to changes in climate (Shearer et al. 2016) and flies, which adapt and survive harsh conditions, can damage multiple susceptible crops in subsequent seasons in all major production regions (Asplen et al. 2015). In 2011, the economic losses attributable to D. suzukii were estimated at 3 million Euros (De Ros et al. 2015). Observations about its seasonal reproductive biology is essential to inform growers how to best manage D. suzukii with particular focus on the important, albeit less studied, winter bottleneck period (Dalton et al. 2011, Stephens et al. 2015, Shearer et al. 2016, Wiman et al. 2016, Enriquez and Colinet 2017). Effective management of damaging pest populations of D. suzukii can benefit producers, extension agents and practitioners, especially if we can identify key periods in the insect’s lifecycle to target management (Focks et al. 1995, Almeida et al. 2010, Jones and Wiman 2012, Cianci et al. 2013). Climate-based risk models using the accumulation of heat units or cumulative degree-days (DD) (Baskerville and Emin 1969, Wilson and Barnett 1983) are often used to determine the timing of management for pests. Such risk models can be used to estimate when the first susceptible crops will be attacked (Zalom et al. 1983). Knowledge of seasonal pest biology can help direct pest management techniques to target a certain time of the season or life stage in order to maximize the impact of such techniques. Previous data have shown that D. suzukii has high reproductive levels and a short lifecycle. The population moves through generations rapidly and generations quickly begin to overlap, resulting in significantly restricted management options (Emiljanowicz et al. 2014, Kinjo et al. 2014, Tochen et al. 2014, Wiman et al. 2016). DD phenology models tend to decrease in applicability for pests that show these characteristics. However, DD accumulation may be of particular use in the case of D. suzukii during the early portion of the season because generations do not yet overlap and synchrony is visible after the winter diapause period (Dalton et al. 2011, Stephens et al. 2015, Shearer et al. 2016, Wiman et al. 2016, Enriquez and Colinet 2017). The most useful knowledge from DD accumulation is therefore gained when looking at the period leading to an increase of more favorable conditions when the first susceptible crops become available. Yet, little information is available on whole-season reproductive biology of D. suzukii as it relates to climate, and specifically the dormant reproductive biology of D. suzukii in temperate regions. Adult winter morph flies, which develop under low temperatures, have the ability to survive cold winter conditions (Shearer et al. 2016, Wallingford and Loeb 2016), but the reproductive status of males and females during these time periods (winter and early spring) is not well understood. Recent studies show that the reproductive status of D. suzukii shifts from relatively low ovarian and egg maturity levels to higher levels of maturity as the season progresses from winter to spring and summer (Zerulla et al. 2015, Rossi Stacconi et al. 2016, Ryan et al. 2016, Wiman et al. 2016). Major factors that affect D. suzukii during the winter include abiotic factors of temperature (Dalton et al. 2011, Ryan et al. 2016) and humidity (Gutierrez et al. 2016, Shearer et al. 2016, Tochen et al. 2016b), as well as the presence of essential food resources (Kimura 2004, Mitsui et al. 2006, Mitsui et al. 2007, Lee et al. 2015, Briem et al. 2016, Tochen et al. 2016a). Although DD phenology models may have limited application toward the end of the growing season for a pest such as D. suzukii, accumulation of heat units during spring can play an important role in forecasting risk of crop infestation. Temperature-dependent development, survival, and reproductive data are available for all life stages of D. suzukii during the summer season under controlled conditions (Emiljanowicz et al. 2014, Tochen et al. 2014, Hardin et al. 2015, Jaramillo et al. 2015). Field observations have also shown that D. suzukii goes through reproductive diapause during the winter (Shearer et al. 2016, Wallingford and Loeb 2016). Recent D. suzukii modeling has used a combination of mean temperature and calendar-based matrices (Wiman et al. 2014, Asplen et al. 2015). The demographic model produced by Wiman et al. (2016) described the progression of ovarian maturation time from the United States and Northern Italy and indicates a linear temperature-dependent increase in reproductive maturity. This model takes into consideration winter survival, early-season reproductive potential and to a limited extent the availability of hosts (Dalton et al. 2011, Lee et al. 2015, Kaçar et al. 2016). The consistency and ecological consequences of the data over many seasons have not been demonstrated; however, further modeling using a population-based demographic model highlights the contribution of the cold-tolerant D. suzukii winter morph toward rapid population growth during springtime in regions of Europe and North America that experience cold winters (Gutierrez et al. 2016). Management strategies for D. suzukii include chemical (Beers et al. 2011, Bruck et al. 2011, Van Timmeren and Isaacs 2013, Wise et al. 2015), biological (Chabert et al. 2012; Rossi Stacconi et al. 2013, 2015; Cancino et al. 2015; Gabarra et al. 2015; Miller et al. 2015; Nomano et al. 2015; Daane et al. 2016; Mazzetto et al. 2016; Wang et al. 2016) and cultural (Lee et al. 2016, Tochen et al. 2016b) controls. Other potential control strategies currently being investigated include molecular techniques such as gene modification using CRISPR technologies (Li and Scott 2016, Kalajdzic and Schetelig 2017), RNAi biopesticides (Murphy et al. 2016), and sterile insect technique (SIT, Schetelig and Handler 2013). Parasitoids known to attack D. suzukii have been identified in areas of recent pest invasion (Miller et al. 2015). However, parasitoid success appears generally lower in these regions compared to levels observed in the indigenous range of the pest (Kacsoh and Schlenke 2012, Rossi Stacconi et al. 2015, Daane et al. 2016). In North America and Europe, specialist parasitoid species are absent. These agents may contribute to an overall reduction in local D. suzukii populations (Miller et al. 2015, Rossi Stacconi et al. 2015, 2017, Wang et al. 2016, Biondi et al. 2017). It is therefore also important from a biological control perspective to determine the lower temperature threshold for possible egg-laying and larval development in order to optimize different biological control strategies. The goal of this paper is to provide key insights into how physiological time can be utilized to better understand survival, reproductive status (Avanesyan et al. 2017), and oviposition of D. suzukii in changing environments. We specifically ask if 1) there are differences in female ovarian development throughout the year, 2) if females retain sperm from males during different times of the year, 3) if males produce sperm throughout the year, and 4) whether there is early oviposition on ivy (Hedera helix L.) and to determine risk of oviposition on early commercial cherry (Prunus avium L.). Data analysis here is focused on environmental conditions during the latter portion of winter and early spring coupled with physiological time (DD accumulation) as a determinant factor of female reproductive status. Materials and Methods Male and female D. suzukii were collected in an area-wide monitoring program in northern Italy during 2013–2016 using traps baited with Droskidrink (Azienda Agricola Prantil, Priò, Trento, Italy). The traps were deployed in six sites (Table 1) and serviced weekly for the duration of the experimental period. D. suzukii females used for ovaria dissections were stored 3–4 wk at laboratory conditions (15–25°C), using a 70% alcohol solution as storage medium (Carson and Cappellano 2014). The storage method and time showed minimal impact on the integrity of the reproductive structures (Grassi unpublished). Individuals used for sperm status investigation (both females and males) were similarly kept in physiological saline (0.9% sodium chloride in water solution) and analyzed within 2 d in order to prevent sperm deterioration. Population-level reproductive status was assessed under three criteria: ovarian development in females, presence of sperm in spermatheca and/or in seminal receptacle in females, and presence of sperm in testes in males. Table 1. D. suzukii sampling location, and potential hosts in Trento Province, Italy during 2013–2016 Location  Elevation  GPS coordinates  Hosts  Dissected sex  Trento/Fersinaa  207 m asl  46° 3′15.26″N  11° 7′24.20″E  Ivy  Male, Female  Trento/Orrido  330 m asl  46° 4′31.11″N  11° 9′6.58″E  Ivy, Cherry  Female  Sersoa  600 m asl  46° 4′24.81″N  11°14′47.63″E  Cherry  Female  St. Michelea  250 m asl  46°11′34.63″N  11° 8′22.90″E  Cherry  Female  Romagnanoa  190 m asl  46° 0′26.49″N  11° 7′3.09″E  Cherry  Female  Canalea  500 m asl  46° 2′23.08″N  11°13′31.36″E  Cherry  Female  Location  Elevation  GPS coordinates  Hosts  Dissected sex  Trento/Fersinaa  207 m asl  46° 3′15.26″N  11° 7′24.20″E  Ivy  Male, Female  Trento/Orrido  330 m asl  46° 4′31.11″N  11° 9′6.58″E  Ivy, Cherry  Female  Sersoa  600 m asl  46° 4′24.81″N  11°14′47.63″E  Cherry  Female  St. Michelea  250 m asl  46°11′34.63″N  11° 8′22.90″E  Cherry  Female  Romagnanoa  190 m asl  46° 0′26.49″N  11° 7′3.09″E  Cherry  Female  Canalea  500 m asl  46° 2′23.08″N  11°13′31.36″E  Cherry  Female  aSites used for climate and reproductive status correlation. View Large Ovary Dissection At least 31 female D. suzukii ovaries were dissected monthly in order to determine the reproductive status of local populations throughout the year. These assessments were conducted in six locations (Table 1) from January 2013 until December 2016. Individual female D. suzukii were classified based on five recognizable ovarian maturation stages (Fig. 1a–d, Boulétreau 1978): Fig. 1. View largeDownload slide (a) Unripe ovaries (UOv) of female Drosophila suzukii: Ovaries were found, but no developing ovarioles could be seen when dissected. Common (CO) and lateral (LO) oviducts are visible. (b) Ripening ovarioles (ROv): Small developing ovarioles are recognizable, but no breathing tubes (spiracles) were visible on the eggs. (c) Mature ovarioles (MOv): when dissecting the ovaries, both ripening eggs (RE) and mature eggs (ME) bearing spiracles (S) were visible, but none of these eggs were found in the abdomen. (d) Free mature eggs in the abdomen (FME): All of the mature eggs with visible spiracles (S) were found in the abdomen and not in the ovaries. SR: Seminal Receptacle, Sp: Spermathecae, Ut: Uterus, An: Anus, Op: Ovipositor. Photos: A. Grassi. Fig. 1. View largeDownload slide (a) Unripe ovaries (UOv) of female Drosophila suzukii: Ovaries were found, but no developing ovarioles could be seen when dissected. Common (CO) and lateral (LO) oviducts are visible. (b) Ripening ovarioles (ROv): Small developing ovarioles are recognizable, but no breathing tubes (spiracles) were visible on the eggs. (c) Mature ovarioles (MOv): when dissecting the ovaries, both ripening eggs (RE) and mature eggs (ME) bearing spiracles (S) were visible, but none of these eggs were found in the abdomen. (d) Free mature eggs in the abdomen (FME): All of the mature eggs with visible spiracles (S) were found in the abdomen and not in the ovaries. SR: Seminal Receptacle, Sp: Spermathecae, Ut: Uterus, An: Anus, Op: Ovipositor. Photos: A. Grassi. 1) No ovaries—No ovaries present in the abdomen. 2) Unripe ovaries—Ovaries present, but no developing ovarioles (eggs) visible upon dissection (Fig. 1a). 3) Ripening eggs in ovarioles—Small developing ovarioles recognizable, but no breathing tubes (spiracles) visible (Fig. 1b). 4) Mature eggs in ovarioles—Spiracles visible when dissecting eggs in ovaries, but no free eggs in the oviducts or in the uterus, classified as mature (Fig. 1c). 5) Mature eggs outside ovaries (abdominal)—Mature eggs released in the oviducts or in the uterus (Fig. 1d). Determination of Sperm Presence in Females and Males In order to determine the percentage of individuals containing sperm, a minimum of 18 females and 12 males were dissected during each monthly increment from 2015 to 2017 and 2016 to 2017, respectively using methods similar to Avanesyan et al. (2017). The presence of sperm within the dissected structures was verified by direct observation of the typical striated masses under a dissecting microscope at 400× magnification (OPTIKA SRL, Ponteranica, BG, Italy). For females, both the spermatheca and the seminal receptacle were stained in a 2% aceto-orcein solution and mounted on glass slides with glycerol (Fig. 2a and b). For males, testes were dissected and directly observed in physiological saline (Fig. 3). Fig. 2. View largeDownload slide Spermatozoa (arrows) in dissected spermatheca (a) and seminal receptacle (b) of female Drosophila suzukii. Photos: A. Gottardello. Fig. 2. View largeDownload slide Spermatozoa (arrows) in dissected spermatheca (a) and seminal receptacle (b) of female Drosophila suzukii. Photos: A. Gottardello. Fig. 3. View largeDownload slide Dissected testes and striated spermatozoa masses of male Drosophila suzukii. The insert shows intact testis. Photos: A. Gottardello. Fig. 3. View largeDownload slide Dissected testes and striated spermatozoa masses of male Drosophila suzukii. The insert shows intact testis. Photos: A. Gottardello. Early Oviposition on Ivy and Risk of Oviposition on Early Commercial Cherry During 14 March to 18 May 2016, ivy fruit were collected at Trento/Orrido (Table 1) in order to determine natural levels of infestation with D. suzukii. Each randomly collected fruit sample consisted of a minimum of 100 berries. Fruits were inspected under a dissecting stereo-microscope in the laboratory in order to determine D. suzukii egg or larval presence. All infested berries were incubated in sealed polythene bags together with water-soaked paper under laboratory conditions (20 ± 5°C, 45 ± 20% RH and 16:8 [L:D] h photoperiod). The bags were inspected twice per week in order to determine adult D. suzukii eclosion. Fruit firmness was additionally determined on 25 uninfested berries using a 1.5 mm diameter blunt point digital penetrometer (TR Turoni, Italy). The average size of D. suzukii individuals emerging from ivy berries was compared with the size of individuals reared on commercial cherries (P. avium). For both fruit types, a minimum of 16 individuals of each sex was analyzed. The length of the M1 longitudinal wing vein was used as reference parameter and measured using the Leica Application Suite 3.2.1 software (Leica Microsystems Inc, Buffalo Grove, IL). DD Calculation The single sine method of DD calculation (Baskerville and Emin 1969) was used with lower, 7.2°C, and upper, 30.0°C, horizontal cutoffs optimized for D. suzukii (Tochen et al. 2014) to estimate DD accumulation for this insect in Trento/Orrido during 2016. The early maturing ‘Chelan’ cherry cv. phenology was correlated to DD accumulation, showing clear trends of cherry fruit development coupled with an increase in DD (D. Gibeaut, unpublished data). Cumulated DD calculations for cherry in Trento/Orrido were used for to estimate the early maturing of fruit of cv. ‘Ferrovia’ grown in this region during 2016. Statistical Analysis The reproductive status of the collected individuals from all sites was grouped monthly and the percentage of each maturation stage was represented as a fraction of the whole dissected population for that corresponding month. These data are presented together with the mean daily temperatures for these regions (Fig. 4). Fig. 4. View largeDownload slide Seasonal reproductive status of dissected female Drosophila suzukii and mean daily temperature in °C from 2013 to 2016 in Trento Province, Northern Italy. Fig. 4. View largeDownload slide Seasonal reproductive status of dissected female Drosophila suzukii and mean daily temperature in °C from 2013 to 2016 in Trento Province, Northern Italy. Daily average temperatures from the five highlighted sites in Trentino, Northern Italy were collected from January 2013 to December 2016 (Table 1, Fig. 4). These data allowed the calculation of monthly cumulative DD values with a biofix of 1 January of each year. These reproductive status and cumulative monthly DD data for each region were regressed to estimate the relationship of DD accumulated from 1 January in Trento Province and the five highlighted sites in Northern Italy as a predictor of percent D. suzukii ovarian development. The percentage of female D. suzukii individuals in each ovarian maturation stage was correlated with the DD accumulation using simple multiple regression. Differences in the reproductive status of the dissected organs (ovaria, spermathecae and seminal receptacle for females and testes for males) were analyzed using one-way ANOVA followed by Tukey’s HSD test to determine differences between months of the year. Levene’s test for homogeneity of variances of the mean monthly temperature and reproductive status were conducted in order to highlight differences between years. All analyses were run using the statistics software Statistica 7 (StatSoft. Inc., Tulsa, OK). Results Ovaria Dissection The reproductive status of female D. suzukii provided a consistent trend of increasing maturity levels coupled with increasing temperatures and DD (Figs. 4 and 5). Levene’s test for homogeneity of variances of the mean monthly temperatures for each year showed that year had no significant impact on temperature. Monthly temperatures were significantly different (F11,31 = 55.376, P < 0.001, differences not shown in Fig. 5a). The statistically lowest temperatures were found from December to February (−2.3 to 1°C). Medium temperatures were found in March, April, and September (5.2 to 8.2°C). Higher temperatures were found in May, June and August (11.1 to 14.1°C). The highest mean temperatures were recorded during July (16.2°C). The linear regression for the region describing the correlation of temperature on egg maturity is y = 3.0547x + 8.8783 (F1,10 = 50.93, R2 = 0.84, P < 0.038, Fig. 5b). During the dormant period (from November to February) less than 10% of the analyzed females carried mature eggs (Fig. 5a). This percentage increased to more than 50% during spring (March–May) and decreased to less than 20% during fall (September–November). In all years, mean temperatures above 10°C resulted in more than 50% females carrying mature eggs (Fig. 5). Levels of mature eggs decreased below 50% at lower temperatures. When examining egg dissections over cumulative DD in the five highlighted sites of Trento province, Northern Italy beginning 1 January each year, the percentage of D. suzukii with mature eggs showed significant linear relationships for all of the regions (Fig. 6, Table 3). The first flies containing mature eggs all occurred at levels just above 0 DD. Overall, the earliest increase of mature eggs was found at Serso on 21 February 2014 (3 DD), and at St. Michele as late as 15 April 2016 (206 DD). For Trento province overall, the proportion of overwintered females with mature eggs numerically start an increase at 21 February 2014 (24 DD). Fig. 5. View largeDownload slide (a) Monthly average percent (2013–2016) Drosophila suzukii females with mature eggs in Trento Province, Northern Italy. For each column, different letters indicate significant differences (P < 0.05) after ANOVA followed by Tukey’s HSD test. (b) Correlation between the average monthly temperature in Trento Province during 2013–2016 and the percentage of D. suzukii females with mature eggs. Fig. 5. View largeDownload slide (a) Monthly average percent (2013–2016) Drosophila suzukii females with mature eggs in Trento Province, Northern Italy. For each column, different letters indicate significant differences (P < 0.05) after ANOVA followed by Tukey’s HSD test. (b) Correlation between the average monthly temperature in Trento Province during 2013–2016 and the percentage of D. suzukii females with mature eggs. Fig. 6. View largeDownload slide Percentage of Drosophila suzukii with mature eggs over accumulated degree-days from January 1 (Lower and upper thresholds for SWD is set at 7.2 and 30°C, respectively) in Trento Province, Northern Italy (a), and in five production sites (b–f) at different altitudes during 2013–2016. Fig. 6. View largeDownload slide Percentage of Drosophila suzukii with mature eggs over accumulated degree-days from January 1 (Lower and upper thresholds for SWD is set at 7.2 and 30°C, respectively) in Trento Province, Northern Italy (a), and in five production sites (b–f) at different altitudes during 2013–2016. Table 2. Drosophila suzukii (SWD) sampling date, physiological age (DD), reproductive maturity, and commercial cherry phenology estimations together with percent infested ivy berries in Trento/Orrido, Italy during 2016 Sampling date  SWD DD  Estimated SWD with mature eggs (%)  Estimated (Chelan) cherry phenology stage  % infested ivy berries (min 100 berries)  Ivy berries firmness (cN)  14 Mar. 2016  68  5.47  Bloom  0.0    11 April 2016  242  33.51  Post bloom  3.8  nr  12 April 2016  250  34.88    1.3  nr  19 April 2016  315  45.48    14.5  53.35  26 April 2016  361  53.01    27.3  58.64  2 May 2016  389  57.28    21.3  55.80  8 May 2016      Hard green      18 May 2016  521  62.07    31.7  nr  22 May 2016      Straw      27 May 2016      Ruby      Sampling date  SWD DD  Estimated SWD with mature eggs (%)  Estimated (Chelan) cherry phenology stage  % infested ivy berries (min 100 berries)  Ivy berries firmness (cN)  14 Mar. 2016  68  5.47  Bloom  0.0    11 April 2016  242  33.51  Post bloom  3.8  nr  12 April 2016  250  34.88    1.3  nr  19 April 2016  315  45.48    14.5  53.35  26 April 2016  361  53.01    27.3  58.64  2 May 2016  389  57.28    21.3  55.80  8 May 2016      Hard green      18 May 2016  521  62.07    31.7  nr  22 May 2016      Straw      27 May 2016      Ruby      View Large Table 3. Percent Drosophila suzukii with mature eggs using egg dissections over accumulated degree-days from 1 January (Lower and upper thresholds for SWD is set at 7.2 and 30°C, respectively) in Trento Province, Northern Italy (Fig. 6a), and five highlighted production regions within Trento Province (Fig. 6b–f) at different altitudes during 2013–2016 Location  Descriptive function  Statistical parameters  Trento Province  y = 0.1887x − 0.9061  F1,18 = 88.060, P < 0.001, R2 = 0.83  Romagnano  y = 0.1988x + 5.1634  F1,9 = 42.567, P < 0.001, R2 = 0.83  St.Michele  y = 0.1037x − 4.6318  F1,8 = 27.422, P < 0.001, R2 = 0.77  Trento/Fersina  y = 0.1717x − 5.4028  F1,13 = 154.43, P < 0.001, R2 = 0.92  Canale  y = 0.1039x + 1.6808  F1,11 = 38.351 P < 0.001, R2 = 0.78  Serso  y = 0.3076x − 5.3229  F1,8 = 45.364, P < 0.001, R2 = 0.85  Location  Descriptive function  Statistical parameters  Trento Province  y = 0.1887x − 0.9061  F1,18 = 88.060, P < 0.001, R2 = 0.83  Romagnano  y = 0.1988x + 5.1634  F1,9 = 42.567, P < 0.001, R2 = 0.83  St.Michele  y = 0.1037x − 4.6318  F1,8 = 27.422, P < 0.001, R2 = 0.77  Trento/Fersina  y = 0.1717x − 5.4028  F1,13 = 154.43, P < 0.001, R2 = 0.92  Canale  y = 0.1039x + 1.6808  F1,11 = 38.351 P < 0.001, R2 = 0.78  Serso  y = 0.3076x − 5.3229  F1,8 = 45.364, P < 0.001, R2 = 0.85  View Large Determination of Sperm Presence in Females and Males The monthly percentage of female D. suzukii with sperm within spermatheca and seminal vesicle dissections were significantly impacted by the month of dissection (F9,75 = 6.2, P < 0.001, Fig. 7a). The lowest levels of females with sperm were found from December to March. The numerically lowest levels of sperm were found in February. Increasing levels of sperm were found during April. The statistically highest levels of sperm were found from May to October and decreasing levels of sperm were found during November into December. Fig. 7. View largeDownload slide (a) Monthly percentage of Drosophila suzukii females with sperm within spermatheca and/or seminal receptacle in Trento Province, Northern Italy, during 2015–16. (b) Monthly percentage of D. suzukii males with sperm within testis in Trento Province, Northern Italy, during 2016–2017. (c) Ivy berry infection rate over degree-days for D. suzukii in Trento, Italy during 2016. (d) D. suzukii M1 wing vein measurements from Cherry and Ivy-reared individuals. For each column, different letters indicate significant differences (P < 0.05) after ANOVA followed by Tukey’s HSD test. Fig. 7. View largeDownload slide (a) Monthly percentage of Drosophila suzukii females with sperm within spermatheca and/or seminal receptacle in Trento Province, Northern Italy, during 2015–16. (b) Monthly percentage of D. suzukii males with sperm within testis in Trento Province, Northern Italy, during 2016–2017. (c) Ivy berry infection rate over degree-days for D. suzukii in Trento, Italy during 2016. (d) D. suzukii M1 wing vein measurements from Cherry and Ivy-reared individuals. For each column, different letters indicate significant differences (P < 0.05) after ANOVA followed by Tukey’s HSD test. The monthly percentage of male D. suzukii with sperm within testes was significantly impacted by the month of dissection (F8,24 = 4.6, P = 0.002, Fig. 7b). The lowest proportion of males with sperm was found in March. The numerically lowest levels of sperm were found during January. Slightly higher levels of sperm were found from April to December. Overall, the statistically highest levels of sperm were found from April to December. Early Oviposition on Ivy and Risk of Oviposition on Early Commercial Cherry The ivy berries collected at Trento/Orrido from 14 March to 18 May 2016 showed increasing infestation with D. suzukii starting at 68 DD and increased to peak infestations at 521 DD (Fig. 7c, Table 2). Fruit firmness during this period was never less than 53.3cN. Cumulative DD was a significant predictor of higher ivy fruit infestation over time. The simple regression describing this correlation (Fig. 7c) is y = 0.1002x − 12.845 (F1,5 = 15.87, P < 0.01, R2 = 0.76). Measurements of wing length from ivy berries and cherry fruit showed significant differences based on host fruit and insect gender (F1,77 = 79.03, P < 0.001, F1,77 = 88.89, P < 0.001, Fig. 7d). Emerged adults from ivy berries were smaller than those emerging from cherry fruit, and males were smaller than females. Cherry and ivy phenology in relation to D. suzukii physiological time (DD) showed that female D. suzukii are able to oviposit in ivy berries well before straw-yellow cherry fruit were expected to be susceptible to D. suzukii attack (Table 2). Discussion The data presented from four seasons of dissections provide a clear picture of D. suzukii reproductive biology throughout the year. The data from dissections suggest that female D. suzukii have significantly decreased levels of mature eggs during the dormant period (November to March), a factor that possibly contributes to D. suzukii reproductive diapause as indicated by lacking or little reproductive activity (Shearer et al. 2016, Wallingford and Loeb 2016). Previous studies (Shearer et al. 2016, Wallingford and Loeb 2016) described the impact of changing seasonal climates on morphology and physiology of D. suzukii. Here, we do not report this phenomenon, but unreported data collected during this study confirmed similar trends. The correlated temperature data strongly suggest that unfavorably low temperatures are a likely cause for this phenomenon. It is therefore likely that there is significantly decreased or absent oogenesis during this period. The percentage of females containing mature eggs conversely increased significantly with increasing mean monthly temperatures. This trend is consistent, even when taking into consideration slight variations of temperatures during the same months of different seasons. As shown in Fig. 4, there were slight differences in the percentage of females with mature eggs between years, namely, there were fewer females with abdominal eggs during the summer of 2015 compared to 2013 and 2014. These differences may be due to subtle changes in both late autumn and winter climatic conditions and variation in the onset of colder winter conditions. It is possible that these differences affect the demographic makeup and size of D. suzukii populations at the beginning of the spring period during the following season. This topic is outside of the scope of this paper, but warrants additional investigation. During the late dormant period in all seasons, there was an increase in the proportion of females with mature eggs coupled with increasing temperatures and DD, suggesting that oogenesis resumes as early as 59 DD. Overall, the lowest mean percentage of females with mature eggs was found in the month of February (3.3%). Dissected females on average never had lower than 32.14% individuals containing sperm (found in February), indicating that at least part of the population at this time of the year should be able to produce fertilized eggs. February is likely the month with the lowest reproductive potential for female D. suzukii populations when looking at both percentage of mature eggs and presence of sperm in the population as a whole in this region. This period also showed comparatively similar low sperm counts in male D. suzukii populations (January–March). These data support other earlier studies that the most important bottleneck period for D. suzukii pest populations in temperate climates is from January to March (Dalton et al. 2011, Stephens et al. 2015, Shearer et al. 2016, Wiman et al. 2016). Moreover, the low availability of males with sperm in females during this period indicates that females are potentially storing sperm from autumn mating. This stored sperm can be used by the females to fertilize mature eggs as soon as they break diapause without the need to mate with mature males in early spring. Mating behavior of D. suzukii at low temperatures need further study (Enriquez and Colinet 2017). The bottleneck periods are not only characterized by smaller D. suzukii populations and low temperatures, but also by limited availability of alternate hosts. The collected data strongly support the supposition that ivy berries can serve as a non-crop host during the late dormant period during the latter portion of the bottleneck period. Ivy berries are clearly not the most suitable host for D. suzukii development as indicated by the significantly smaller wing measurements in comparison to flies reared on P. avium. Presence of ivy berries may nevertheless allow for D. suzukii populations to persist and reproduce during the late dormant periods at lower numbers. The findings that ivy is attacked during the late dormant period suggest that even the earliest commercially produced fruit stand the risk of being attacked by D. suzukii as they ripen. Cherries are generally among the first commercially produced susceptible crops of the early season. D. suzukii emerged from ivy berries as early as 223 DD (11 April 2015), although dissections suggest that females are physiologically able to lay eggs as early as 3 DD. Both cherry phenology models and observations from the region suggest that cherry fruit become available and are susceptible to D. suzukii attack much later than ivy (18 May, 390 DD for D. suzukii on cherry fruit), as this is when fruit become softer and have higher sugar levels (Lee et al. 2011, Burrack et al. 2013, Lee et al. 2016). Assessment of female and male D. suzukii reproductive biology improves key knowledge about the abilities of early-season populations to utilize non-commercial hosts. This information will aid in the development of new strategies to control the pest. Overall, the alternate host data on ivy illustrate that D. suzukii is able to persist at smaller population levels and are very adaptable to low temperatures, together with several additional studies (Dalton et al. 2011, Stephens et al. 2015, Shearer et al. 2016, Wiman et al. 2016, Enriquez and Colinet 2017). It is clear that D. suzukii can utilize a wide range of host fruits and can maintain low population levels, even in very harsh conditions where there is limited fruit coupled with suboptimal temperatures. Aside from fruit, it has been demonstrated that D. suzukii can utilize non-fruit nectar and saps, as is found in pollen and nectar of cherries and blueberries, as well as extrafloral nectaries (Tochen et al 2016a). D. suzukii can clearly adapt to persist under relatively extreme bottleneck periods, allowing them to oviposit on very early ripening commercial crops. The impact of D. suzukii females containing lower fractions of sperm and mature egg loads need additional study. The information from this study clearly points towards the late dormant period as a time when both D. suzukii population levels and reproductive potential are low. It is very probable that control strategies including bait sprays, SIT, and biological control can be targeted during this period. These techniques, applied in the early spring and targeting early-season surviving fertile females, are expected to have a significant suppressant population impact. The observations from this study should incorporated into population models (Wiman et al. 2014, 2016; Gutierrez et al. 2016) and may contribute to make such models more precise and reliable at forecasting persistence of winter populations, and timing of population increase. Acknowledgments We wish to thank all the technical advisers of the Soft Fruits Unit and the colleagues of the Organic Agriculture Unit at the Technology Transfer Centre of the Edmund Mach Foundation for their precious help in the territorial monitoring activity of Drosophila suzukii. Funding for research in the United States was provided from the USDA-NIFA award # 2010-51181-21167, 2015-51181-24252, USDA OREI #2014-51300-22238 and USDA NWCSFR. In Italy this research was partially funded by the Autonomous Province of Trento (Italy) (Accordo di Programma) and research funds from the Grandi Progetti, Project LExEM (Laboratory of excellence for epidemiology and modeling, http://www.lexem.eu). We thank the Oregon State Blueberry Commission. References Cited Almeida, S. J. de, Martins Ferreira R. P., Eiras Á. E., Obermayr R. P., and Geier M.. 2010. Multi-agent modeling and simulation of an Aedes aegypti mosquito population. Environ. Modell. Softw . 25: 1490– 1507. Google Scholar CrossRef Search ADS   Asplen, M. K., Anfora G., Biondi A., Choi D.-S., Chu D., Daane K. M., Gibert P., Gutierrez A. P., Hoelmer K. A., Hutchison W. D.,et al.   2015. Invasion biology of spotted wing Drosophila (Drosophila suzukii): a global perspective and future priorities. J. Pest. Sci . 88: 469– 494. Google Scholar CrossRef Search ADS   Avanesyan, A., Jaffe B. D., and Guédot C.. 2017. Isolating spermathecae and determining mating status of Drosophila suzukii: a protocol for tissue dissection and its applications. Insects . 8: 32. Google Scholar CrossRef Search ADS   Baskerville, G. L., and Emin P.. 1969. Rapid estimation of heat accumulation from maximum and minimum temperatures. Ecology . 50: 514– 517. Google Scholar CrossRef Search ADS   Beers, E. H., Van Steenwyk R. A., Shearer P. W., Coates W. W., and Grant J. A.. 2011. Developing Drosophila suzukii management programs for sweet cherry in the western United States. Pest. Manag. Sci . 67: 1386– 1395. Google Scholar CrossRef Search ADS PubMed  Biondi, A., Wang X., Miller J. C., Miller B., Shearer P. W., Zappalà L., Siscaro G., Walton V. W., Hoelmer K. A., and Daane K. M.. 2017. Innate olfactory responses of Asobara japonica toward fruits infested by the invasive spotted wing Drosophila. J. Insect. Behav . 30: 495– 506. Google Scholar CrossRef Search ADS   Boulétreau, J. 1978. Ovarian activity and reproductive potential in a natural population of Drosophila melanogaster. Oecologia . 35: 319– 342. Google Scholar CrossRef Search ADS PubMed  Briem, F., Eben A., Gross J., and Vogt H.. 2016. An invader supported by a parasite: Mistletoe berries as a host for food and reproduction of spotted wing Drosophila in early spring. J. Pest. Sci . 89: 749– 759. Google Scholar CrossRef Search ADS   Bruck, D. J., Bolda M., Tanigoshi L., Klick J., Kleiber J., DeFrancesco J., Gerdeman B., and Spitler H.. 2011. Laboratory and field comparisons of insecticides to reduce infestation of Drosophila suzukii in berry crops. Pest. Manag. Sci . 67: 1375– 1385. Google Scholar CrossRef Search ADS PubMed  Burrack, H. J., Fernandez G. E., Spivey T., and Kraus D. A.. 2013. Variation in selection and utilization of host crops in the field and laboratory by Drosophila suzukii Matsumara (Diptera: Drosophilidae), an invasive frugivore. Pest. Manag. Sci . 69: 1173– 1180. Google Scholar CrossRef Search ADS PubMed  Cancino, M. D. G., A. G. Hernández, J. G. Cabrera, G. M. Carrillo, J. A. González S., and H. C. A. Bernal. 2015. Parasitoides de Drosophila suzukii (Matsumura) (Diptera: Drosophilidae) en Colima, México. Southwest-Entomol . 40: 855– 858. Google Scholar CrossRef Search ADS   Carson, F., and Cappellano C. H.. 2014. Histotechnology. A self-instructional text , 4th ed. American Society for Clinical Pathology, Chicago, IL. Chabert, S., Allemand R., Poyet M., Eslin P., and Gibert P.. 2012. Ability of european parasitoids (Hymenoptera) to control a new invasive Asiatic pest, Drosophila suzukii. Biol. Control . 63: 40– 47. Google Scholar CrossRef Search ADS   Cianci, D., Van Den Broek J., Caputo B., Marini F., Torre A. D., Heesterbeek H., and Hartemink N.. 2013. Estimating mosquito population size from mark–release–recapture data. J. Med. Entomol . 50: 533– 542. Google Scholar CrossRef Search ADS PubMed  Daane, K. M., Wang X.-G., Biondi A., Miller B., Miller J. C., Riedl H., Shearer P. W., Guerrieri E., Giorgini M., Buffington M.,et al.   2016. First exploration of parasitoids of Drosophila suzukii in South Korea as potential classical biological agents. J. Pest. Sci . 89: 823– 835. Google Scholar CrossRef Search ADS   Dalton, D. T., Walton V. M., Shearer P. W., Walsh D. B., Caprile J., and Isaacs R.. 2011. Laboratory survival of Drosophila suzukii under simulated winter conditions of the Pacific Northwest and seasonal field trapping in five primary regions of small and stone fruit production in the United States. Pest. Manag. Sci . 67: 1368– 1374. Google Scholar CrossRef Search ADS PubMed  De Ros, G., Conci S., Pantezzi T., and Savini G.. 2015. The economic impact of invasive pest Drosophila suzukii on berry production in the province of Trento, Italy. J. Berry. Res . 5: 89– 96. Google Scholar CrossRef Search ADS   Emiljanowicz, L. M., Ryan G. D., Langille A., and Newman J.. 2014. Development, reproductive output and population growth of the fruit fly pest Drosophila suzukii (Diptera: Drosophilidae) on artificial diet. J. Econ. Entomol . 107: 1392– 1398. Google Scholar CrossRef Search ADS PubMed  Enriquez, T., and Colinet H.. 2017. Basal tolerance to heat and cold exposure of the spotted wing drosophila, Drosophila suzukii. Peerj . 5: e3112. Google Scholar CrossRef Search ADS PubMed  Focks, D. A., Daniels E., Haile D. G., and Keesling J. E.. 1995. A Simulation model of the epidemiology of urban dengue fever: literature analysis, model development, preliminary validation, and samples of simulation results. Am. J. Trop. Med. Hyg . 53: 489– 506. Google Scholar CrossRef Search ADS PubMed  Gabarra, R., Riudavets J., Rodríguez G. A., Pujade-Villar J., and Arnó J.. 2015. Prospects for the biological control of Drosophila suzukii. BioControl . 60: 331– 339. Google Scholar CrossRef Search ADS   Gutierrez, A. P., Ponti L., and Dalton D. T.. 2016. Analysis of the invasiveness of spotted wing Drosophila (Drosophila suzukii) in North America, Europe, and the Mediterranean basin. Biol. Invasions . 18: 3647– 3663. Google Scholar CrossRef Search ADS   Hardin, J. A., Kraus D. A., and Burrack H. J.. 2015. Diet quality mitigates intraspecific larval competition in Drosophila suzukii. Entomol. Exp. Appl . 156: 59– 65. Google Scholar CrossRef Search ADS   Jaramillo, S. L., Mehlferber E., and Moore P. J.. 2015. Life-history trade-offs under different larval diets in Drosophila suzukii (Diptera: Drosophilidae). Physiol. Entomol . 40: 2– 9. Google Scholar CrossRef Search ADS   Jones, V. P., and Wiman N. G.. 2012. Modeling the interaction of physiological time, seasonal weather patterns, and delayed mating on population dynamics of codling moth, Cydia pomonella (L.) (Lepidoptera: Tortricidae). Popul. Ecol . 54: 421– 429. Google Scholar CrossRef Search ADS   Kaçar, G., Wang X., Stewart T. J., and Daane K. M.. 2016. Overwintering survival of Drosophila suzukii (Diptera: Drosophilidae) and the effect of food on adult survival in California’s San Joaquin Valley. Environ. Entomol . 45: 763– 771. Google Scholar CrossRef Search ADS PubMed  Kacsoh, B. Z., and Schlenke T. A.. 2012. High hemocyte load is associated with increased resistance against parasitoids in Drosophila suzukii, a relative of D. melanogaster. Plos One . 7: e34721. Google Scholar CrossRef Search ADS PubMed  Kalajdzic, P., and Schetelig M. F.. 2017. CRISPR/Cas-mediated gene editing using purified protein in Drosophila suzukii. Entomol. Exp. Appl . 164: 350– 362. Google Scholar CrossRef Search ADS   Kimura, M. T. 2004. Cold and heat tolerance of drosophilid flies with reference to their latitudinal distributions. Oecologia . 140: 442– 449. Google Scholar CrossRef Search ADS PubMed  Kinjo, H., Kunimi Y., and Nakai M.. 2014. Effects of temperature on the reproduction and development of Drosophila suzukii (Diptera: Drosophilidae). Appl. Entomol. Zool . 49: 297– 304. Google Scholar CrossRef Search ADS   Lee, J. C., Bruck D. J., Curry H., Edwards D., Haviland D. R., Van Steenwyk R. A., and Yorgey B. M.. 2011. The susceptibility of small fruits and cherries to the spotted-wing drosophila, Drosophila suzukii. Pest. Manag. Sci . 67: 1358– 1367. Google Scholar CrossRef Search ADS PubMed  Lee, J. C., Dreves A. J., Cave A. M., Kawai S., Isaacs R., Miller J. C., Van Timmeren S., and Bruck D. J.. 2015. Infestation of wild and ornamental noncrop fruits by Drosophila suzukii (Diptera: Drosophilidae). Ann. Entomol. Soc. Am . 108: 117– 129. Google Scholar CrossRef Search ADS   Lee, J. C., Dalton D. T., Swoboda-Bhattarai K. A., Bruck D. J., Burrack H. J., Strik B. C., Woltz J. M., and Walton V. M.. 2016. Characterization and manipulation of fruit susceptibility to Drosophila suzukii. J. Pest. Sci . 89: 771– 780. Google Scholar CrossRef Search ADS   Li, F., and Scott M. J.. 2016. CRISPR/Cas9-mediated mutagenesis of the white and Sex lethal loci in the invasive pest, Drosophila suzukii. Biochem. Biophys. Res. C . 469: 911– 916. Google Scholar CrossRef Search ADS   Mazzetto, F., Marchetti E., Amiresmaeili N., Sacco D., Francati S., Jucker C., Dindo M. L., Lupi D., and Tavella L.. 2016. Drosophila parasitoids in northern Italy and their potential to attack the exotic pest Drosophila suzukii. J. Pest. Sci . 89: 837– 850. Google Scholar CrossRef Search ADS   Miller, B., Anfora G., Buffington M., Dalton D. T., Miller J. C., Wiman N. G., Walton V. M., and Al E.. 2015. Seasonal occurrence of resident parasitoids associated with Drosophila suzukii in two small fruit production regions of Italy and the USA. 68: 255– 263. Mitsui, H., Takahashi K. H., and Kimura M. T.. 2006. Spatial distributions and clutch sizes of Drosophila species ovipositing on cherry fruits of different stages. Popul. Ecol . 48: 233– 237. Google Scholar CrossRef Search ADS   Mitsui, H., Achterberg K. V., Nordlander G., and Kimura M. T.. 2007. Geographical distributions and host associations of larval parasitoids of frugivorous Drosophilidae in Japan. J. Nat. Hist . 41: 1731– 1738. Google Scholar CrossRef Search ADS   Murphy, K. A., Tabuloc C. A., Cervantes K. R., and Chiu J. C.. 2016. Ingestion of genetically modified yeast symbiont reduces fitness of an insect pest via RNA interference. Sci. Rep . 6. Nomano, F. Y., Mitsui H., and Kimura M. T.. 2015. Capacity of japanese asobara species (Hymenoptera; Braconidae) to parasitize a fruit pest Drosophila suzukii (Diptera; Drosophilidae). J. Appl. Entomol . 139: 105– 113. Google Scholar CrossRef Search ADS   Rossi Stacconi, M. V., Grassi A., Dalton D. T., Miller B., Ouantar M., Loni A., Ioriatti C., Walton V. M., and Anfora G.. 2013. First field records of Pachycrepoideus vindemiae as a parasitoid of Drosophila suzukii in European and Oregon small fruit production areas. Entomologia . 1: 3. Google Scholar CrossRef Search ADS   Rossi Stacconi, M. V., Buffington M., Daane K. M., Dalton D. T., Grassi A., Kaçar G., Miller B., Miller J. C., Baser N., Ioriatti C.,et al.   2015. Host stage preference, efficacy and fecundity of parasitoids attacking Drosophila suzukii in newly invaded areas. Biol. Control . 84: 28– 35. Google Scholar CrossRef Search ADS   Rossi Stacconi, M. V., Kaur R., Mazzoni V., Ometto L., Grassi A., Gottardello A., Rota-Stabelli O., and Anfora G.. 2016. Multiple lines of evidence for reproductive winter diapause in the invasive pest Drosophila suzukii: useful clues for control strategies. J. Pest. Sci . 89: 689– 700. Google Scholar CrossRef Search ADS   Rossi Stacconi, M. V., Panel A., Baser N., Ioriatti C., Pantezzi T., and Anfora G.. 2017. Comparative life history traits of indigenous Italian parasitoids of Drosophila suzukii and their effectiveness at different temperatures. Biol. Control  112: 20– 27. Google Scholar CrossRef Search ADS   Ryan, G. D., Emiljanowicz L., Wilkinson F., Kornya M., and Newman J. A.. 2016. Thermal tolerances of the spotted-wing Drosophila Drosophila suzukii (Diptera: Drosophilidae). J. Econ. Entomol . 109: 746– 752. Google Scholar CrossRef Search ADS PubMed  Schetelig, M. F., and Handler A. M.. 2013. Germline transformation of the spotted wing drosophilid, Drosophila suzukii, with a piggyBac transposon vector. Genetica . 141: 189– 193. Google Scholar CrossRef Search ADS PubMed  Shearer, P. W., West J. D., Walton V. M., Brown P. H., Svetec N., and Chiu J. C.. 2016. Seasonal cues induce phenotypic plasticity of Drosophila suzukii to enhance winter survival. BMC Ecology . 16: 11. Google Scholar CrossRef Search ADS PubMed  Stephens, A. R., Asplen M. K., Hutchison W. D., and Venette R. C.. 2015. Cold Hardiness of winter-acclimated Drosophila suzukii (Diptera: Drosophilidae) adults. Environ. Entomol . 44: 1619– 1626. Google Scholar CrossRef Search ADS PubMed  Tochen, S., Dalton D. T., Wiman N., Hamm C., Shearer P. W., and Walton V. M.. 2014. Temperature-related development and population parameters for Drosophila suzukii (Diptera: Drosophilidae) on cherry and blueberry. Environ. Entomol . 43: 501– 510. Google Scholar CrossRef Search ADS PubMed  Tochen, S., Walton V. M., and Lee J. C.. 2016a. Impact of floral feeding on adult Drosophila suzukii survival and nutrient status. J. Pest. Sci . 89: 793– 802. Google Scholar CrossRef Search ADS   Tochen, S., Woltz J. M., Dalton D. T., Lee J. C., Wiman N. G., and Walton V. M.. 2016b. Humidity affects populations of Drosophila suzukii (Diptera: Drosophilidae) in blueberry. J. Appl. Entomol . 140: 47– 57. Google Scholar CrossRef Search ADS   Van Timmeren, S., and Isaacs R.. 2013. Control of spotted wing drosophila, Drosophila suzukii, by specific insecticides and by conventional and organic crop protection programs. Crop. Protection . 54: 126– 133. Google Scholar CrossRef Search ADS   Wallingford, A. K., and Loeb G. M.. 2016. Developmental acclimation of Drosophila suzukii (Diptera: Drosophilidae) and its effect on diapause and winter stress tolerance. Environ. Entomol . 45: 1081– 1089. Google Scholar CrossRef Search ADS PubMed  Wang, X.-G., Kaçar G., Biondi A., and Daane K. M.. 2016. Foraging efficiency and outcomes of interactions of two pupal parasitoids attacking the invasive spotted wing drosophila. Biol. Control . 96: 64– 71. Google Scholar CrossRef Search ADS   Wilson, L., and Barnett W.. 1983. Degree-days: an aid in crop and pest management. Calif. Agric . 37: 4– 7. Wiman, N. G., Walton V. M., Dalton D. T., Anfora G., Burrack H. J., Chiu J. C., Daane K. M., Grassi A., Miller B., Tochen S.,et al.   2014. Integrating temperature-dependent life table data into a matrix projection model for Drosophila suzukii population estimation. Plos One . 9: e106909. Google Scholar CrossRef Search ADS PubMed  Wiman, N. G., Dalton D. T., Anfora G., Biondi A., Chiu J. C., Daane K. M., Gerdeman B., Gottardello A., Hamby K. A., Isaacs R.,et al.   2016. Drosophila suzukii population response to environment and management strategies. J. Pest. Sci . 89: 653– 665. Google Scholar CrossRef Search ADS   Wise, J. C., Vanderpoppen R., Vandervoort C., O’Donnell C., and Isaacs R.. 2015. Curative activity contributes to control of spotted-wing drosophila (Diptera: Drosophilidae) and blueberry maggot (Diptera: Tephritidae) in highbush blueberry. Can. Entomol . 147: 109– 117. Google Scholar CrossRef Search ADS   Zalom, F., Goodell P., Wilson L., Barnett W., and Bentley W.. 1983. Degree-Days, the Calculation and Use of Heat Units in Pest Management: University of California Division of Agriculture and Natural Resources Leaflet 21373 . University of California, Berkeley, CA. Zerulla, F. N., Schmidt S., Streitberger M., C. P. W. Zebitz, and Zelger R.. 2015. On the overwintering ability of Drosophila suzukii in South Tyrol. J. Berry. Res . 5: 41– 48. © The Author(s) 2017. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Journal

Environmental EntomologyOxford University Press

Published: Feb 1, 2018

There are no references for this article.