Open Access
How to translate text using browser tools
18 April 2023 Sipha maydis (Hemiptera: Aphididae) in the Humid Subtropical Region of Brazil: Distribution, Seasonality and Biology
Silvana Lampert, José R. Salvadori, Douglas Lau, Paulo R. V. da S. Pereira, Eduardo Engel, Marcoandre Savaris
Author Affiliations +
Abstract

Sipha maydis (Passerini) (Hemiptera: Aphididae) is a pest of cultivated cereals and wild grasses introduced into America and first reported in South America at Argentina in 2002. In Brazil, this aphid was detected first in wheat in Oct 2006 at Rio Grande do Sul State. Between 2007 and 2013 the aphid was reported in several localities in the humid subtropical region of Brazil (southern states of Rio Grande do Sul, Santa Catarina, and Paraná) on different plant species including Triticum aestivum L., Avena strigosa Schreb., Lolium multiflorum Lam., Hordeum vulgare L., Zea mays L. (all Poaceae) and uncultivated grasses. Sipha maydis also has been captured in yellow tray traps. Peak flight activity for S. maydis occurred in the spring-summer transition and was apparently correlated with average air temperature. Sipha maydis was able to complete its life cycle on A. strigosa, L. multiflorum, H. vulgare, Z. mays, and T. aestivum. During the nymphal phase the best hosts were A. strigosa, L. multiflorum, H. vulgare, and T. aestivum. Hordeum vulgare and T. aestivum were the best for the reproductive period and longevity. The intrinsic rate of increase was greatest on A. strigosa, L. multiflorum, and T. aestivum. Generation time was longer on H. vulgare, Z. mays, and T. aestivum. Net rate reproduction was greater in H. vulgare and T. aestivum, and the finite rate of increase was greatest on A. strigosa, L. multiflorum, H. vulgare, and T. aestivum. Although the distribution of S. maydis is expanding and covering the main wheat-growing region of Brazil, and despite the wide range of hosts and the direct damage it causes to local foraging sites, aphid populations are low and their economic importance is limited. However, it reveals that S. maydis has the potential to colonize subtropical regions.

Sipha maydis (Passerini) é uma praga de cereais cultivados e gramíneas silvestres introduzida na América e relatada pela primeira vez na América do Sul na Argentina em 2002. No Brasil, o pulgão-preto-dos-cereais foi detectado pela primeira vez em Triticum aestivum L. em outubro de 2006 no Estado do Rio Grande do Sul. Entre 2007 e 2013, o pulgão foi relatado em várias localidades da região subtropical húmida do Brasil (Estados da Região Sul: Rio Grande do Sul, Santa Catarina e Paraná) em diferentes espécies de plantas como T. aestivum, Avena strigosa Schreb., Lolium multiflorum Lam., Hordeum vulgare L., Zea mays L. (todas Poaceae), e gramíneas não cultivadas. Sipha maydis também foi capturado em armadilhas do tipo bandeja amarela para pulgões alados. O pico de ocorrência das formas aladas na transição primavera-verão é aparentemente correlacionado com a temperatura média do ar. S. maydis foi capaz de completar o ciclo de vida em A. strigosa, L. multiflorum, H. vulgare, Z. mays, e T. aestivum. Durante a fase de ninfa, os melhores hospedeiros foram A. strigosa, L. multiflorum, H. vulgare, e T. aestivum. A H. vulgare e o T. aestivum foram os melhores para o período reprodutivo e longevidade. A taxa intrínseca de aumento foi grande em A. strigosa, L. multiflorum, e T. aestivum; o tempo de uma geração foi mais longo em H. vulgare, Z. mays, e T. aestivum; a taxa líquida de reprodução foi ótima em H. vulgare e em T. aestivum e a taxa de aumento finito foi grande em A. strigosa, L. multiflorum, H. vulgare, e T. aestivum. Embora a distribuição de S. maydis esteja se expandindo e cobrindo a principal região tritícola do Brasil, e a despeito da ampla gama de hospedeiros e dos danos diretos que causa aos sítios de alimentação, as populações de pulgões são baixas e sua importância econômica ainda é limitada. No entanto, revela que S. maydis tem potencial para colonizar regiões subtropicais.

Cereal aphids (Hemiptera: Aphididae) reduce crop yield by causing direct damage during feeding (Halbert et al. 2013; Savaris et al. 2013; Helmut & Harrington 2017), but also by transmitting plant pathogens such as barley yellow dwarf virus and cereal yellow dwarf virus (CYDV) (Miller & Rasochová 1997; Dedryver et al. 2010; Cezare et al. 2011; Lau et al. 2021). Cereal aphids frequently found in the humid subtropical region of Brazil (southern states of Rio Grande do Sul, Santa Catarina, and Paraná) are the bird cherry-oat aphid, Rhopalosiphum padi (L.); English-grain aphid, Sitobion avenae Fabricius; rose-grass aphid, Metopolophium dirhodum (Walker); and greenbug aphid, Schizaphis graminum (Rondani) (all Hemiptera: Aphididae). The rice-root aphid, Rhopalosiphum rufiabdominalis (Sasaki); corn leaf aphid, Rhopalosiphum maidis (Fitch), yellow-sugarcane aphid, Sipha flava (Forbes); and more recently hedgehog grain aphid, Sipha maydis Passerini (all Hemiptera: Aphididae) (Lau et al. 2021; Engel et al. 2022) also are found, but not as commonly.

Sipha maydis has a huge host range and feeds on over 100 species of Poaceae causing serious damage to cereal crops like corn, wheat, rice, barley, rye, oats, ryegrass, and sorghum in some regions of the world (Mahmood et al. 2002; Ricci & Kahan 2005; Corrales et al. 2007; Wieczorek 2010; Halbert et al. 2013; Fadayivata et al. 2014). Sipha maydis usually is found feeding on the abaxial region of the leaves, with a preference for positioning near the sheath at the base of the leaves, although it also can be found in stems and inflorescences (Blackman & Eastop 2000). In high population levels colonization extends throughout the plant (Ricci & Kahan 2005). Sipha maydis causes major injury to its host plants. In particular, like other species of Sipha, colonies produce yellowing and necrosis at the feeding site, culminating with dried leaves, reduced plant height, and consequent yield loss (Blackman & Eastop 2000; Pereira et al. 2008; Puterka et al. 2019).

Sipha maydis is widely distributed throughout Europe (Wieczorek 2010), and also recorded in South Africa (Quednau 1962; Millar 1990; Jankielsohn & Prinslo 2020) and more recently in South America (Argentina) (Ortego et al. 2004; Corrales et al. 2007) and North America (USA) (Sorensen et al. 2008; Halbert et al. 2013; Puterka et al. 2019). In Brazil, it was recorded first on wheat in Oct 2006 (spring season) at Rio Grande do Sul State (Pereira et al. 2008). In a survey between Jan 2009 to Jul 2010 to evaluate cereal aphid populations on grasses, S. maydis represented 3.8% of cereal aphids collected (Parizoto et al. 2013).

Sipha maydis has been reported in South America primarily in Argentina (Ortego et al. 2004). However, as reviewed by Corrales et al. (2007), the distribution of S. maydis ranged from 32.87 to 42.05°S, and from 57.68 to 71.40°W, bounded by isothermals 18 and 10 °C and isohyets 200 to 400 and < 1,200 mm, and as highlighted by Ortega et al. (2004), no S. maydis were found in the subtropical region, even in winter. But Ortega et al. (2004) also point out that S. maydis in Argentina has a greater colonization capacity than Diuraphis noxia (Mordvilko) (Hemiptera: Aphididae), another species of aphid that was established in the region between the late 1980s and 1990s (Reed & Kindler 1994), with wide adaptation to a variety of regions, hosts, and climatic conditions, which should favor its expansion. Wieczorek and Bugaj-Nawrocka (2014) found through modeling potentially suitable ecological niches for South America; the regions predicted as favorable are mountainous regions or higher latitudes, that is, colder regions such as along the western half of Chile and Argentina in Patagonia and on the Falkland Islands, as well as the east coast of Argentina, Uruguay, and Brazil.

As S. maydis was first found in Brazil in the subtropical region during spring, it is important to investigate the distribution of S. maydis in Brazil, its seasonal abundance, and its biological performance on different cultivated Poaceae. Understanding these parameters will help determine its potential as a pest in economically important crops. Biological information on S. maydis is essential for the integrated management of this pest in winter cereals in southern Brazil. The objective of this study is to report the distribution of S. maydis in Brazil, its seasonal activity, and its biological performance on different host plants.

Materials and Methods

DISTRIBUTION IN BRAZIL

The distribution data were obtained by sampling aphids in crops in the states of Rio Grande do Sul, Santa Catarina, Paraná, and Mato Grosso do Sul between 2007 and 2013 (Fig. 1). We collected 1,712 samples from cereal crops, including T. aestivum (n = 705), Avena spp. (n = 450), Z. mays (n = 98), H. vulgare (n = 24), × Triticosecale Wittm. ex A. Camus. (n = 7), Secale cereale L. (n = 1), Pennisetum glaucum (L.) R. Brown (n = 9), and Sorghum bicolor (L.) Moench (n = 6) (all Poaceae). Samples also were collected from uncultivated grasses that grew near the crop including L. multiflorum (n = 150), Digitaria insularis (L.) Mez ex Ekman (n = 8), Eragrostis plana Nees (n = 10), Aristida purpurea Nutt. (n = 2), Cenchrus echinatus L. (n = 2), Cymbopogon citratus (DC. ex Nees) Stapf (n = 1), Chloris spp. (n = 30), Pennisetum purpureum (Schumach.) Morrone (n = 7), Melines repens (Willd.) Zizka (n = 31), Sorghum halepense (L.) Pers. (n = 5), Eleusine indica (L.) Gaertn. (n = 8), Pennisetum clandestinum Hochst. ex Chiov. (n = 7), Andropogon bicornis L. (n = 23), Setaria parviflora (Poir.) Kerguélen (n = 1), Bromus catharticus Vahl (n = 4), Eustachys distichophylla (Lag.) Nees (n = 13), Paspalum notatum Flüeggé (n = 1), Axonopus compressus (Sw.) P. Beauv. (n = 1), Cynodon dactylon (L.) Pers. (n = 7), Digitaria spp. (n = 54), Urochloa plantaginea (Link) R. Webster (n = 52) (all Poaceae).

SEASONAL FLIGHT ACTIVITY

Aphid flight activity was monitored using yellow pan traps. Rectangular aluminum baking trays (45 cm long × 30 cm wide × 4.5 cm tall) were painted with yellow spray paint (TEK BOND® Saint-Gobain Brazil, Embu das Artes, São Paulo, Brazil). Each trap had 3 side holes (5 mm diam) near the top protected by a fine screen to prevent leakage and loss of solid content during the rains. The traps were placed in an experimental area at 710 masl in Coxilha, Rio Grande do Sul State (28.19522°S, 52.32517°W; Fig. 1, indicated by red star). The area is representative of wheat cropping in the region in the central plateau of Rio Grande do Sul State. The data were collected each wk from Jan 2011 to Dec 2018.

For evaluation of the effects of average air temperature and accumulated weekly rainfall on the probability of occurrence of winged S. maydis throughout the yr, we used a generalized linear mixed model (GLMM). In this model, the components “years” () and “weeks” () were considered as nested random variables. The meteorological factors “average air temperature” () and “accumulated weekly rainfall” () were considered as fixed effects. The GLMM was implemented using a zero-inflated binomial distribution, with the following structure:

e01_01.gif

where uijis the average probability estimated of winged S. maydis occurrence; e is the linear predictor of probability of S. maydis occurrence as a function of fixed effects “average air temperature” (i), “accumulated weekly rainfall” (j), and random variables “years” (a1) and “weeks” (a2); is the residual error.

To verify the significance of fixed effects, a deviance analysis was performed using the chi-square test (χ2) at P < 0.05 significance level. The suitability of the model was verified using a residual graph and the Shapiro-Wilk test. The model was performed through the “glmmADMB” (Fournier et al. 2012) package. Based on the data predicted by the GLMM, S. maydis flight activity throughout the yr was evaluated using a boxplot.

Fig. 1.

Map of Sipha maydis (Passerini, 1860) distribution in Brazil. Shaded area enclosed by blue squares indicates plant sampling area. Black dots indicate the places with occurrence of Sipha maydis. Red star indicates winged aphid monitoring area using yellow tray traps.

img-z3-1_01.jpg

LIFE HISTORY ON DIFFERENT HOST PLANTS

Assays to determine the biological parameters of S. maydis were held at the National Wheat Research Center, Embrapa Trigo, in Passo Fundo, Rio do Sul, Brazil, in the period from Jun to Sep 2008. The study was conducted in a climatic chamber with temperature of 25 ± 2 °C, relative humidity 60 ± 5%, and a photoperiod of 12:12 h (L:D). Daylight fluorescent lamps (5,000 K) (Philips, Burlington, Massachusetts, USA) were used as the lighting source.

The parameters were determined on the following hosts: T. aestivum, A. strigosa, Z. mays, H. vulgare, L. multiflorum, and C. dactylon. Triticum aestivum, A. strigosa, Z. mays, and H. vulgare were chosen because they are the principal crops grown in southern Brazil and because they are hosts of S. maydis in other regions of the world (Blackman & Eastop 2000; Mahmood et al. 2002; Ricci & Kahan 2005; Corrales et al. 2007; Wieczorek 2010; Fadayivata et al. 2014; Puterka et al. 2019). Lolium multiflorum and C. dactylon were selected because they are common weeds at the edges or within crops in the region and could be reservoir hosts of S. maydis.

The host plants were grown in plastic pots (Doormann, Cachoeirinha, Rio Grande do Sul, Brazil) with a volume capacity of 1.5 kg of soil fertilized with 250 kg ha–1 of the formula 5-25-25 (N-P2O5-K2O). The seeds were treated with the fungicide difeconazole (15%) at a dose of 2 mL per kg of seed. Sixteen seeds were sown on the soil surface and covered with 2 cm of sieved soil. Ten d after emergence, the elimination of weeds and thinning of plants was carried out, leaving only 4 plants per pot.

The experimental units were cylindrical cages of 1.5 cm diam × 1.0 cm high, made of transparent plastic material, which were pasted into a clip (Fig. 2A). Small holes were made on the sides of the cages to aid in airflow. A square acetate (2 cm × 2 cm) with a foam approximately 0.3 mm thick was placed at the end of the cage which was in contact with the leaves to prevent the escape of insects and damage to the tissues of the host plants. The cages were suspended near the pots with the aid of a string of approximately 30 cm long, attached to a vertical iron bar. For each pot were fixed 10 cages; each plant received 2 or 3 cages.

The aphids used in the bioassays were collected in the field, and a colony was established in the laboratory and maintained on wheat cultivar ‘Embrapa 16.’ For a pre-adaptation step, 2 wk before the start of the experiment, S. maydis adults were transferred to the host plant to be evaluated. Twelve h before infestation, about 100 adult aphids were placed in Petri dishes on leaves of each plant host to obtain first instar nymphs; 20 neonate nymphs were distributed to each host. The nymphs were placed individually in cages as described above (Fig. 2A & B).

Fig. 2.

Method to evaluate life history of Sipha maydis (Passerini, 1860) on different hosts. (A) Detail of the clip cage containing the nymphs attached to the leaf. (B) Overview of plants growing in pots with the cages containing the nymphs attached to the leaves.

img-z4-1_01.jpg

Through daily observations, always held at the same time, we were able to determine the pre-reproductive period (nymphal stage + adult pre-reproductive phase), the reproductive period (from the beginning to the end of the reproduction), longevity, and fecundity (number of nymphs per female) of S. maydis on each host.

The mean and its standard error for biological variables were calculated. A fertility life table was prepared, following the methodology proposed by Silveira Neto et al. (1976). The population parameters considered in the fertility life table were: net reproductive rate (Ro), mean generation time (T), intrinsic rate of increase (rm), and finite rate of increase (λ).

Statistical analysis of the fertility life table was performed in the software R v.4.0.2 ( https://cran.r-project.org/), using the statistical package ‘demogR’ (Jones 2007). Statistical analysis of the other variables was performed in Assistat program (Silva & De Azevedo 2009), where the data were submitted to the Shapiro-Wilk and Bartlett tests to confirm the normality of the residues and homogeneity of the variances; after meeting the assumptions of these tests, an analysis of variance (ANOVA) was performed. The contrasts between the averages were compared by Tukey’s pos hoc test at 5% probability of error.

Results

DISTRIBUTION IN BRAZIL

From 2007 to 2013, 1,712 samples were collected from different plant species located in the evaluated fields. Of these, 156 had S. maydis, corresponding to about 9.1% of total samples (Table 1). Samples of winter cereal crops revealed that H. vulgare (29.2%), T. aestivum (12.6%), Lolium spp. (10.0%), and Avena spp. (8.9%) (Table 1) all were hosts of S. maydis.

Hedgehog grain aphid occurs in Rio Grande do Sul (north and west), Santa Catarina (west), and Paraná (southwest and south-central) (Fig. 1). In Rio Grande do Sul, S. maydis was recorded in 52 municipalities on Avena sativa L. (Poaceae), A. strigosa, Lolium spp., E. plana, C. echinatus, H. vulgare, Z. mays, T. aestivum, and B. catharticus. In Santa Catarina, S. maydis was recorded infesting A. strigosa and T. aestivum in the municipalities of Abelardo Luz, Campos Novos, Capinzal, Formosa do Sul, São Miguel do Oeste, Xanxerê, Xaxim, and Zortéa. In Paraná the species was recorded infesting A. strigosa, Lolium spp., H. vulgare, and T. aestivum in the municipalities of Ampére, Boa Ventura de São Roque, Cascavel, Clevelândia, Chopinzinho, Entre Rios, Guarapuava, Lagoa Seca, Pato Branco, Rio Bonito do Iguaçu, and Tibagi. Since its report in Brazil, we have verified numerous colonies of S. maydis on T. aestivum cultivated in a greenhouse. Recently, colonies were found on Aegilops squarrosa L. (Poaceae), representing a new host record for Brazil.

WINGED APHIDS OSCILLATION

The zero-inflated GLMM showed a significant effect of average air temperature on winged S. maydis occurrence in yellow traps (χ2 = 4.19; df = 1; P = 0.040). However, no significant effect was observed for accumulated weekly rainfall (χ2 = 0.417; df = 1; P = 0.518). This suggests that average air temperature is the main meteorological variable that drives the seasonality of winged S. maydis flight. The increase in temperature corresponded to a mean increase of 0.59 ± 0.29 in the baseline linear predictor (e), which estimates the probability of winged S. maydis occurrence in the yellow traps (Fig. 3A).

Flight activity of S. maydis estimated by the GLMM suggests strong seasonality. Peak flights of S. maydis were observed in the last wk of the previous yr and in the beginning wk of the following yr, corresponding to spring-summer transition (wk 45–52, 1–11). A decline was observed from early fall (wk 12). Throughout the fall and most of the winter, the probability of occurrence of winged S. maydis continued to decline, until the late mid-winter (wk 30), when the probability of occurrence increased again (Fig. 3B).

Table 1.

Plant species, number of samples, and percentage in relation to the total collected by plant species with the presence of Sipha maydis from 2007 to 2013.

img-z5-2_01.gif

LIFE HISTORY ON DIFFERENT HOST PLANTS

Sipha maydis completed its life cycle on all evaluated hosts. Nymphs showed faster development on T. aestivum, A. strigosa, L. multiflorum, and H. vulgare than on Z. mays and C. dactylon. The pre-reproductive period was 10.6 d on T. aestivum, 11.1 d on A. strigosa and L. multiflorum, 11.7 d on H. vulgare, 14.6 d on Z. mays, and 15.4 d on C. dactylon (Table 2). The length of the reproductive period was influenced by the host plant, being lower in C. dactylon, Z. mays, L. multiflorum, and A. strigosa, and higher in H. vulgare (26.8 d) and T. aestivum (27.5 d) (Table 2). Longevity was higher on T. aestivum (46.1 d) and H. vulgare (41.3 d). Longevity on H. vulgare did not differ from that on A. strigosa, Z. mays, L. multiflorum, or C. dactylon (Table 2).

Based on the estimated fertility life table parameters in the laboratory, the intrinsic rate of increase (rm) of S. maydis showed higher rates for A. strigosa, T. aestivum, L. multiflorum, and H. vulgare. Lower rates were found for Z. mays and C. dactylon (Table 3). The time between each generation (T) was higher on H. vulgare (21.3 d), followed by T. aestivum (20.8 d), Z. mays (19.9 d), A. strigosa (19.2 d), C. dactylon (17.8 d), and L. multiflorum (17.6 d) (Table 3). The net reproductive rate (Ro) was much higher on T. aestivum (55.2 individuals per female) and H. vulgare (52 individuals per female). The rates were intermediate for A. strigosa (40.9), L. multiflorum (27.6), and lower for Z. mays (16.5) and C. dactylon (11). The finite rate of increase (λ) was higher on A. strigosa, T. aestivum, L. multiflorum, and H. vulgare (ranging from 2.2 to 1.9 nymphs per female). The finite rate of increase was lower for Z. mays and C. dactylon (1.5 to 1.4 nymphs per female) (Table 3).

The survival rate (lx) on T. aestivum and A. strigosa began to decline from d 23, gradually declining to the death of all individuals on d 59 for T. aestivum and d 45 on A. strigosa (Fig. 4). The survival of S. maydis on H. vulgare declined from d 11 to d 55. On L. multiflorum, survival began to decline on d 10 followed by a gradual reduction until d 46, when all individuals were dead. On C. dactylon, we recorded 90% mortality by d 25, and 50% of individuals on Z. mays died by d 13. Based on life table parameters, Z. mays and C. dactylon are less suitable hosts for S. maydis. The S. maydis specific fertility (mx) indicates higher reproduction activity on wheat between d 11 and d 33, on barley between d 11 and d 35, and on oat between d 12 and d 32 (Fig. 4).

Discussion

Sipha maydis has been reported in Brazil on A. strigosa, H. vulgare, Z. mays, and T. aestivum plants in the states of Rio Grande do Sul (north and west), Santa Catarina (west), and Paraná (southwest) (Pereira et al. 2008). Samples from the main wheat regions of Brazil suggest that S. maydis has a more concentrated occurrence in the Brazilian humid subtropical region (more points of occurrence south of the 25th parallel) (Fig. 1). Because S. maydis can complete its life cycle on different host species of the Poaceae family, its migration to the Midwest region may be occurring (Fig. 1). With the intensification of the winter cereal crop in cerrado (Brazilian savanna) areas of Central Brazil (Mato Grosso, Goiás, and western Bahia), there is a possibility that the distribution of S. maydis will expand in Brazil. Some species of S. maydis host plants are considered weeds and can be found at the edges of cultivated areas. These hosts produced a green bridge, keeping the insects alive during the off-season. Thus, when crops of winter cereals (fall-winter) or corn (spring-summer) are established in the field, S. maydis has the possibility to migrate to cultivated plants and establish colonies which, due to the abundance of food, can grow and cause direct damage, such as yellowing, curling and drying of leaves, and indirect damage via transmission of barley yellow dwarf virus (Pereira et al. 2008). However, Parizoto et al. (2013) were not successful in transmitting barley yellow dwarf virus isolates with S. maydis to T. aestivum or A. strigosa, suggesting that this aphid is not a good vector of the barley yellow dwarf virus variants that predominate in the southern Brazilian agricultural landscape.

The spatiotemporal distribution of an alien species is related to its ability to develop successfully in different environments (Hajek et al. 2016). In this scenario, the regional climate acts directly on the natural selection of species, acting as an environmental filter (Violle et al. 2012; Outreman et al. 2018). The occurrence of winged S. maydis increased in proportion to the increase in the average air temperature, mainly from 15 °C, reaching the apex around 25 °C. Weekly accumulated rainfall did not have a significant effect S. maydis flight activity. In general, in the Brazilian humid subtropical region, the effects of rainfall are related to reduction in abundance of aphids due to impact of raindrops and favorability of entomopathogenic fungi (Rebonatto et al. 2015; Soares et al. 2020; Engel et al. 2022). In the humid subtropical region of Brazil, S. maydis flight activity occurs mainly in the spring-summer transition period (Fig. 3B). Apparent adaptation of S. maydis to the humid subtropical areas of Brazil suggests that it also could colonize areas elsewhere with similar climate.

Fig 3.

(A) Effects of average air temperature (°C) on occurrence of winged Sipha maydis in yellow tray traps. (B) Average estimated (red dot) occurrence probability of winged S. maydis per wk (shaded areas indicate the 95% confidence interval).

img-z6-1_01.jpg

In the summer, the principal cultivated host plant for S. maydis is Z. mays (Corrales et al. 2007). In spring, T. aestivum and other winter cereals (H. vulgare, Lolium spp., and × Triticosecale) serve as a resource for this aphid (Pereira et al. 2008; Rebonatto et al. 2015; Puterka et al. 2019). In our laboratory studies, S. maydis showed similar pre-reproductive periods in T. aestivum, H. vulgare, A. strigosa, and L. multiflorum. In H. vulgare, the pre-reproductive period was 11.7 d. This result was similar to that found by Ricci and Kahan (2005), who obtained a pre-reproductive period of 9.4 d at 20 °C. Oliveira et al. (2009) studied the biology of S. flava at different temperatures on P. purpureum plants. In this study, at 24 °C, S. flava presented a pre-reproductive period of 15 d, a result similar to that found for S. maydis in C. dactylon and Z. mays, which were 15.4 and 14.6 d at 25 °C, respectively.

The greatest adult longevity was obtained in T. aestivum and H. vulgare. Sipha maydis reared on H. vulgare plants showed an adult longevity of 52.6 d (Ricci & Kahan 2005), a result greater than that found in this study (41.3 d). However, Ricci and Kahan (2005) conducted the experiment at 20 °C, which certainly influenced the adult longevity in relation to the present study, conducted at 25 °C. For S. flava in P. purpureum plants, Oliveira et al. (2009) observed adult longevity of 20.1 d at 24 °C, a result that was closest to that obtained for C. dactylon in this study, which was 25.2 d at 25 °C.

Table 2.

Host effect on the duration of biological phases (mean ± standard error) of Sipha maydis in the laboratory.

img-z7-2_01.gif

The reproductive period of S. maydis obtained by Ricci and Kahan (2005) on H. vulgare at 20 °C was 37 d. In this study, the longest reproductive period was in T. aestivum and H. vulgare, with 27.5 and 26.8 d, respectively (Table 1). The differences in the reproductive period are probably related to the ambient temperature used in the different experiments. Hentz and Nuessly (2004) obtained a reproductive period of 20.9 d for S. flava on S. bicolor plants in a greenhouse, without temperature and photoperiod control.

According to the S. maydis life table, the rm values found in H. vulgare in this study (0.68 individuals per female per d at 25 °C) were higher than those obtained by Ricci and Kahan (2005) in this host, with an index (rm) of 0.19 individuals per female per d at 20 °C. In comparison, a highly prolific species in wheat, S. graminum, at 23 °C has a rm of 0.31 individuals per female per d (Khodabandeh et al. 2011). According to Andrewartha and Birch (1954), the higher the rm value, the more successful the species will be in a given environment. In our study, the rm value was particularly high for A. strigosa, T. aestivum, L. multiflorum, and H. vulgare (Table 2).

The interval of the 21.3 d between each generation (T) observed on H. vulgare differs from that obtained by Ricci and Kahan (2005), who obtained T = 28.3 d on this host plant; however, they conducted their study at 20 °C. For other aphid species of economic importance in winter cereals, T values were lower. The average duration of a generation for S. graminum was 12.4 d on wheat plants kept at 23 °C (Khodabandeh et al. 2011), similar to that obtained by Descamps and Chopa (2011) for R. padi raised on T. aestivum plants at 24 °C, which had an average duration per generation of 14.2 d. In this study, for S. maydis on T. aestivum it was 20.8 d. Thus, considering these indices, S. maydis has a lower biotic potential than S. graminum and R. padi on T. aestivum.

The net reproduction rate (Ro) was higher in T. aestivum and H. vulgare, with 55.2 and 52 individuals per female, respectively (Table 2). These results are close to that obtained by Khodabandeh et al. (2011) studying S. graminum in T. aestivum plants at 23 °C, where the Ro was 49.9 individuals per female. In Argentina, Ricci and Kahan (2005) studying S. maydis in H. vulgare at 20 °C, obtained 74.7 individuals per female, a result relatively higher than that found in Brazil (52 individuals per female).

Table 3.

Biological parameters of Sipha maydis on different host plants in Brazil.

img-z7-12_01.gif

The finite increase ratio (λ) of S. graminum studied in T. aestivum by Khodabandeh et al. (2011) at 23 °C was 1.3 nymphs per female. A similar result was observed by Descamps and Chopa (2011) for R. padi raised on T. aestivum, with λ = 1.2 nymphs per female. However, no differences were found when compared to × Triticosecale, Avena spp., Lolium spp., and H. vulgare. Another result also observed in this study was where λ ranged from 2.2 to 1.4 in different hosts. When we compare the results with the studies by Khodabandeh et al. (2011) and Descamps and Chopa (2011) with different species of aphids associated with the T. aestivum crop, S. maydis had a higher λ (2.1), as well as for the other hosts evaluated.

Based on life table parameters, Z. mays and C. dactylon are less suitable hosts for the development of S. maydis. However, as the studies were conducted in growth chambers and conditions under artificial light, the experimental data must be considered with caution. Such conditions may imply changes in the physiology of plants in relation to natural conditions. The stage of development of plants, for example, corn in the beginning of its cycle, may not be the stage that allows the best development of aphids.

The wide host range and temperature tolerance suggests a potential for S. maydis to colonize new areas. For example, in Florida, USA, C. dactylon occurs widely in the state (Wunderlin et al. 2022). Given climate similarities with colonized areas in Brazil, there is potential for S. maydis to become established in Florida.

Finally, the results obtained suggest that the occurrence of S. maydis is concentrated in the states of Paraná, Santa Catarina, and Rio Grande do Sul. In these states, it has been found on 7 species of grasses, including cultivated cereals such as Z. mays, T. aestivum, Avena spp., and H. vulgare. The average air temperature is correlated with the seasonal flight activity of S. maydis as measured by yellow tray traps. Peak collections occurred in the spring-summer transition. Sipha maydis completed its life cycle on all evaluated hosts, having the best performance on T. aestivum and H. vulgare. Thus, our results support the conclusion that S. maydis has a great reproductive capacity and a wide host range among both summer and winter plant species. However, so far the occurrence of this species and its damage are more common on crop edges, where plants with reduced development and possible grain yields occur. The results found here can serve for the development of prediction models of pest occurrence and status for the American continent (South-North) and other regions of the world. borne viruses,” process number: 13.16.05.006.00.00. We also thank the anonymous reviewers and the academic editor for improving the manuscript.

Fig. 4.

Survival rate (lx) and specific fertility (mx) of Sipha maydis on different host plants in Brazil.

img-z8-1_01.jpg

Acknowledgments

We thank the Empresa Brasileira de Pesquisa Agropecuária (Embrapa Trigo) and the Conservation Biology Post-Graduate Program of the Universidade de Passo Fundo for their support of this study. Data on the population of winged S. maydis were obtained through the project “Integrated platform for monitoring, simulation and decision-making in the management of epidemics caused by insect-

References Cited

1.

Andrewartha HG, Birch LG. 1954. The distribution and abundance of animals. University of Chicago Press, Chicago, Illinois, USA. Google Scholar

2.

Blackman RL, Eastop VF. 2000. Aphids on the World's Crops: An Identification and Information Guide, second edition. Wiley, Chichester, United Kingdom. Google Scholar

3.

Cezare DG, Schons J, Lau D. 2011. Análise da resistência/tolerância da cultivar de trigo BRS Timbaúva ao Barley yellow dwarf virus - PAV. Tropical Plant Pathology 36: 249–255. Google Scholar

4.

Corrales CE, Castro AM, Ricci M, Dixon AFG. 2007. Sipha maydis: distribution and host range of a new aphid pest of winter cereals in Argentina. Journal of Economic Entomology 100: 1781–1788. Google Scholar

5.

Dedryver CA, Le Ralec A, Fabre F. 2010. The conflicting relationships between aphids and men: a review of aphid damage and control strategies. Comptes Rendus – Biologies 333: 539–553. Google Scholar

6.

Descamps LR, Chopa CS. 2011. Population growth of Rhopalosiphum padi L. (Homoptera: Aphididae) on different cereal crops from the semiarid Pampas of Argentina under laboratory conditions. Chilean Journal of Agricultural Research 71: 390–394. Google Scholar

7.

Engel E, Lau D, Godoy WAC, Pasini MPB, Malaquias JB, Santos CDR, Pivato J, Pereira PRVS. 2022. Oscillation, synchrony, and multi-factor patterns between cereal aphids and parasitoid populations in southern Brazil. Bulletin of Entomological Research 112: 143–150. Google Scholar

8.

Fadayivata S, Moravvej G, Karimi J. 2014. Pathogenicity of the fungus Lecanicillium longisporum against Sipha maydis and Metopolophium dirhodum in laboratory conditions. Journal of Plant Protection Research 54: 67–73. Google Scholar

9.

Fournier DA, Skaug HJ, Ancheta J, Ianelli J, Magnusson A, Maunder MN, Nielsen A, Sibert J. 2012. AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models. Optimization Methods and Software 27: 233–249. Google Scholar

10.

Hajek AE, Hurley BP, Kenis M, Garnas JR, Bush SJ, Wingfield MJ, van Lenteren JC, Cock MJW. 2016. Exotic biological control agents: a solution or contribution to arthropod invasions? Biological Invasions 18: 953–969. Google Scholar

11.

Halbert SE, Miller GL, Ames LM. 2013. The genus Sipha Passerini (Hemiptera: Aphididae) in North America. Insecta Mundi 0326: 1–6. Google Scholar

12.

Helmut FVE, Harrington R. 2017. Aphids as crop pests, second edition. CABI, Wallingford, Oxfordshire, United Kingdom. Google Scholar

13.

Hentz M, Nuessly G. 2004. Development, longevity, and fecundity of Sipha flava (Homoptera: Aphididae) feeding on Sorghum bicolor. Environmental Entomology 33: 546–553. Google Scholar

14.

Jankielsohn A, Prinsloo G. 2020. Sipha maydis (Passerini) (Hemiptera: Aphididae) on wheat (Triticum aestivum) in South Africa. African Entomology 28: 192–194. Google Scholar

15.

Jones JH. 2007. demogR: a package for the construction and analysis of age-structured demographic models in R. Journal of Statistical Software 22: 1–28. Google Scholar

16.

Khodabandeh H, Shahrokhi S, Ajalli J, Siami K. 2011. Comparison of greenbug, Schizaphis graminum (Rondani) biology on broomcorn, grain sorghum and wheat, pp. 273–276 In 2011 International Conference on Biology, Environment and Chemistry. IACSIT Press, Singapore. Google Scholar

17.

Lau D, Mar TB, Santos CDR, Engel E, Pereira PRVS. 2021. Advances in understanding the biology and epidemiology of barley yellow dwarf virus (BYDV), pp. 700–737 In Oliver R, Curtin J [Eds.], Achieving Durable Disease Resistance in Cereals, first edition. Burleigh Dodds Science Publishers, Cambridge, United Kingdom. Google Scholar

18.

Mahmood R, Poswal MA, Shehzad A. 2002. Distribution, host range and seasonal abundance of Sipha sp. (Homoptera: Aphididae) and their natural enemies in Pakistan. Pakistan Journal of Biological Sciences 5: 47–50. Google Scholar

19.

Millar LM. 1990. The aphids (Homoptera: Aphidoidea) of South Africa. An identification guide. Entomology Memoir 78: 1–105. Google Scholar

20.

Miller WA, Rasochová L. 1997. Barley yellow dwarf viruses. Annual Review of Phytopathology 25: 167–190. Google Scholar

21.

Oliveira SA de, Souza B, Auad AM, da Silva DM, Souza LS, Carvalho CA. 2009. Development and reproduction of Sipha flava (Forbes) (Hemiptera: Aphididae) at different temperatures. Neotropical Entomology 38: 311–316. Google Scholar

22.

Ortego J, Difabio M, Mier Durante M. 2004. Nuevos registros y actualización de la lista faunística de los pulgones (Hemiptera: Aphididae) de la Argentina New records and actualized check list of aphids (Hemiptera: Aphididae) from Argentina. Revista de la Sociedad Entomológica Argentina 63: 19–30. Google Scholar

23.

Outreman Y, Andrade TO, Louâpre P, Krespi L, Violle C, van Baaren J. 2018. Multiscale and antagonist selection on life-history traits in parasitoids: a community ecology perspective. Functional Ecology 32: 736–751. Google Scholar

24.

Parizoto G, Rebonatto A, Schons J, Lau D. 2013. Barley yellow dwarf virus-PAV in Brazil: seasonal fluctuation and biological characteristics. Tropical Plant Pathology 38: 11–19. Google Scholar

25.

Pereira PRVS, Salvadori JR, Lau D. 2008. Pulgão-preto-dos-cereais, Sipha maydis Passerini, 1860 (Hemiptera: Aphididae). Publication #842847. Embrapa Trigo, Passo Fundo, Rio Grande do Sul, Brazil.  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/124049/1/FD-0234.pdf(last accessed 24 Oct 2022). Google Scholar

26.

Puterka GJ, Hammon RW, Franklin M, Mornhinweg DW, Springer T, Armstrong S, Brown MJ. 2019. Distribution of a new invasive species, Sipha maydis (Heteroptera: Aphididae), on cereals and wild grasses in the southern Plains and Rocky Mountain states. Journal of Economic Entomology 112: 1713–1721. Google Scholar

27.

Quednau FW. 1962. A list of aphids so far unrecorded from South Africa, with descriptions of two new species (Homoptera, Aphidoidea). South African Journal of Agricultural Science 5: 253–264. Google Scholar

28.

Rebonatto A, Salvadori JR, Lau D. 2015. Temporal changes in cereal aphids (Hemiptera: Aphididae) populations in northern Rio Grande do Sul, Brazil. Journal of Agricultural Science 7: 71–78. Google Scholar

29.

Reed D, Kindler S. 1994. Report of trip to Argentina and Chile, pp. 163–168 In Proceedings of the 6th Russian Wheat Aphid Workshop, 23–25 Jan 1994, Colorado State University, Fort Collins, Colorado, USA. Google Scholar

30.

Ricci M, Kahan AE. 2005. Aspectos biologicos y poblaciones de Sipha maydis (Passerini) y Schizaphis graminum (Rondani) en cebada. Revista de la Facul-tad de Ciencia Agrarias 37: 25–32. Google Scholar

31.

Savaris M, Lampert S, Salvadori JR, Lau D, Pereira PRVS, Smaniotto MA. 2013. Population growth and damage caused by Rhopalosiphum padi (L.) (Hemiptera, Aphididae) on different cultivars and phenological stages of wheat. Neotropical Entomology 42: 539–543. Google Scholar

32.

Silva FDAS, De Azevedo CAV. 2009. Principal Components Analysis in the Software Assistat-Statistical Assistance, pp. 239–242 In Proceedings of the 7th World Congress on Computers in Agriculture Conference, 22–24 June 2009, Reno, Nevada, USA. https://doi.org/10.13031/2013.29066 Google Scholar

33.

Silveira Neto S, Nakano O, Barbin D, Villa Nova N. 1976. Manual de ecologia dos insetos. Agronômica Ceres, Piracicaba, São Paulo, Brazil. Google Scholar

34.

Soares JRS, da Silva Paes J, de Araújo VCR, de Araújo TA, Ramos RS, Picanço MC, Zanuncio JC. 2020. Spatiotemporal dynamics and natural mortality factors of Myzus persicae (Sulzer) (Hemiptera: Aphididae) in bell pepper crops. Neotropical Entomology 49: 445–455. Google Scholar

35.

Sorensen J, Cabrera B, Watson G. 2008. Significant records in entomology. Sipha maydis Passerini - Aphidoidea: Aphididae, pp. 119 In Gaimari S [Ed.], California Pest and Disease Report. Sacramento, California, USA. Google Scholar

36.

Violle C, Enquist BJ, McGill BJ, Jiang L, Albert CH, Hulshof C, Jung V, Messier J. 2012. The return of the variance: intraspecific variability in community ecology. Trends in Ecology and Evolution 27: 244–252. Google Scholar

37.

Wieczorek K. 2010. A monograph of Siphini Mordvilko, 1928 (Homoptera, Aphidoidea: Chaitophorinae). Wydawnictwo Uniwersytetu Slaskiego, Katowice, Poland. Google Scholar

38.

Wieczorek K, Bugaj-Nawrocka A. 2014. Invasive aphids of the tribe Siphini: a model of potentially suitable ecological niches. Agricultural and Forest Entomology 16: 434–443. Google Scholar

39.

Wunderlin RP, Hansen BF, Franck AR, Essig FB. 2022. Atlas of Florida Plants. Institute for Systematic Botany, University of South Florida, Tampa, Florida, USA.  http://florida.plantatlas.usf.edu/(last accessed 24 Oct 2022). Google Scholar
Silvana Lampert, José R. Salvadori, Douglas Lau, Paulo R. V. da S. Pereira, Eduardo Engel, and Marcoandre Savaris "Sipha maydis (Hemiptera: Aphididae) in the Humid Subtropical Region of Brazil: Distribution, Seasonality and Biology," Florida Entomologist 106(1), 1-9, (18 April 2023). https://doi.org/10.1653/024.106.0101
Published: 18 April 2023
KEYWORDS
América
American continent
biologia
BIOLOGY
gama de hospedeiros
hedgehog grain aphid
host preference
Back to Top