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Diversity of Auchenorrhyncha (Hemiptera: Cicadellidae: Delphacidae) associated with Vicia villosa in southern Buenos Aires province, Argentina.

Auchenorrhyncha, especially the families Delphacidae ("planthoppers") and Cicadellidae ("leafhoppers"), are phytophagous insects distributed worldwide. Several species are serious agricultural pests and may injure plants either directly, through feeding and oviposition, or indirectly, through the transmission of plant pathogens such as viruses and bacteria (Harris 1979; Nault & Ammar 1989). As occurs with other insects, the hoppers' distribution, abundance and richness can be influenced by the climate conditions, vegetation and their interactions. The effects of host plant quality and plant species composition have been also shown to exert major influences on auchenorrhynchan dynamics (Masters et al. 1998).

Few contributions have been made about the population patterns of species of Auchenorrhyncha associated with commercially important crops in central Argentina. In the last 25 yr, some works have been published regarding only maize (Zea mays L.; Poaceae) (Teson et al. 1986; Remes Lenicov & Virla 1999b; Paradell et al. 2001), wheat (Triticum spp.; Poaceae) (Remes Lenicov & Virla 1993), rye (Secale cereale L; Poaceae) (Ornaghi et al. 1993), oat (Avena sativa L.; Poaceae) (Dagoberto et al. 1985; Teson et al. 1986), alfalfa (Medicago sativa L.; Fabaceae) (Meneguzzi 2008) and garlic (Allium sativum L.; Amaryllidaceae) (Catalano 2011).

The genus Vicia L., (Fabales: Fabaceae: Papilionoideae), with over 200 species distributed worldwide, has high genetic variability and a productive potential that has not been fully exploited to date. Native, naturalized or cultivated species of this genus are present in all temperate and tropical regions of the world. Their greatest diversity occurs in the Mediterranean basin, which is considered as its center of origin; although, secondary centers with high genetic variability have been found in southern Siberia, Europe, North and South America, including Argentina. Knowledge about natural distribution, taxonomy and productive potential of the genus Vicia is still scarce in America. At least, 20 species are considered to be part of the natural flora in southern Brazil, Paraguay, Chile, Uruguay and Argentina (Renzi 2009).

Vicia villosa Roth is a winter-spring legume species used as cover crop, and for soil improvement, grazing and seed production. Frequently, winter legumes are used as cover crops in insect pest management programs. In the United States V. villosa is probably the most commonly used cover crop (Baldwin & Creamer 2005). In Argentina, it is distributed in the provinces of Buenos Aires, Cordoba and La Pampa; and is becoming progressively more important in southern Buenos Aires province in recent yr (J. P. Renzi EEA INTA Hilario Ascasubi, Argentina, personal communication). Vicia is cultivated as monoculture or together with oat as a support (polyculture). This combination facilitates harvesting due to increase the height of the crop while the seed yield is not affected (Renzi 2009).

Several studies on insect communities affecting V. villosa are focused on the effects of cover crops on abundance and diversity of hervibores, parasitoids and predators (Haddad et al. 2001; Hall et al. 2004; Tillman et al. 2004). In Europe (Bulgaria), a recent contribution by Georgieva & Nikolova (2011) is the only study about the species of Auchenorrhyncha associated with this vetch. In Argentina, preliminary field observations by Dughetti & Zarate (2010) and Dughetti et al. (2012), revealed that 14 species of Auchenorrhyncha are associated with V. villosa in southern Buenos Aires province. These studies highlighted Agalliana ensigera Oman and Paratanus exitiosus (Beamer) as important pests that were confirmed as vectors of different viruses in Argentina (Fawcett 1927), Brazil (Costa 1952) and Chile (Oman 1949). Until now, there have been no relevant studies about the community structure of herbivores affecting Vicia in Argentina. Demographic studies should be carried out in order to know the importance of hoppers in this crop.

The hypotheses of this contribution are that Vicia crop hosts a great diversity of species of Auchenorrhyncha with phytosanitary importance, and that the population dynamics of the most abundant species respond to different weather variables and crop phenological phases. Accordingly, the aims of this work were: 1) to characterize the diversity of the species of Auchenorrhyncha associated with V. villosa, and 2) to determine the seasonal fluctuations of the most abundant species in relation to local weather variables and crop phenological phases. In addition, as a complementary approach, we recorded the geographical distribution, host plants and phytosanitary importance of the species with a relevant frequency range (very frequent-less frequent), and assembled the corresponding bibliographical references.


Study site and Record of Weather and Phenological Conditions

The study site were located at the experimental field of EEA INTA in the department of Hilario Ascasubi (S39[degrees]23'36"-W62[degrees]37'59", 15 m asl), southern Buenos Aires, Argentina. Sweep net samples were taken during 2 growing seasons (2009 and 22011). In 2009, the sample area comprised 850 [m.sup.2] and was sowed on Apr 24. On average, crop seedlings appeared on May 12th. In 2011, the area comprised 1,800 [m.sup.2] and was located within a 1.5 ha seed production plot; the sowing was done on May 11th and the seedlings appeared on May 28th. In 2009, sampling began in mid-Sep, when the crop was quite dense and the tendrils and stems interlaced to form a single

plant mass, while in 2011, sampling was delayed to mid-Oct because the canopy was too light to begin sooner. The seed harvesting time varied according to the different sowing times and the weather conditions in each year.

The following phenological phases (adapted from Renzi 2009) were observed during sampling periods: Emergence: 90% of seedlings above the ground surface, based on presence of the first 2 expanded leaves; Vegetative: development of primary and secondary stems as well as leaves, until the onset of flowering; Flowering: the period after the opening of the first flower and until less than 10% of the plants still had open flowers; Pod Formation: 50% of plants with first growing pod; Pod Filling: period development of full pods; Maturity: 75% of plants with first discolored and dry pod, yellowed and senescent leaves.

Canopy height was measured for a total of 20 randomly selected plants in 2009 and on 10 randomly selected plants on 2011. Maximum height of each plant was recorded using a meter stick held perpendicular to the ground.

Weather variables were recorded by means of a meteorological station at the study site (EEAINTA Hilario Ascasubi, Buenos Aires). For this analysis we recorded the following data: photoperiod (h), mean temperature ([degrees]C), 10 and 20 degree days, number of hours during which temperature was higher than 10[degrees]C and 20[degrees]C, mean RH, daily rainfall (mm), total wet foliage (12-12) and Penman's evapotranspiration (ETP) (mm).

The cultivated plots were treated with preand post-emergence herbicides in 2011, but not in 2009. Insecticides were not applied during the study.

In both yr, the spontaneous vegetation associated with Vicia was represented by the following species: Raphanus sativus L. "radish"; Rapistrum rugosum L. (Brassicaceae = Cruciferae); Carduus nutans L. "musk thistle"; Senecio vulgaris L. "groundsel"; Taraxacum officinale Weber "dandelion"; Centaurea solstitialis L. "yellow starthistle" (Asteraceae = Compositae).

In 2009 and 2011, other crops adjacent to Vicia plot were: Avena sativa L. (oat); Hordeum vulgare L. (barley); Secale cereale L. (rye); X Triticosecale Wittm. (triticale) (Gramineae) and Medicago sativa L. (alfalfa) (Fabaceae = Leguminosae).

Capture and Identification of Insects

Insects were collected weekly with a sweep net measuring 0.38 m x 0.70 m. The samples taken from 5 stations chosen at random, comprised 20 sweeps per station, a total of 100 sweeps per week (based on the asymptotic number of individuals per sweep during a preliminary sampling). The specimens collected were dry preserved, labeled and transported to the lab for identification. For taxonomic analyses, the specimens were counted and dissected under a stereoscope and identified following (Linnavuori 1959; Young 1977; Remes Lenicov 1982; Paradell 1995). The material was deposited in the Entomological Collection at Museo de La Plata, Argentina (MLP).

Abundance and Diversity

The samples were identified at the family, subfamily and species level. Total number of collected individuals (N) was determined by direct count and documented weekly. To measure the community's diversity we used the Margalef index ([D.sub.Mg]) and the dominance index of Simpson (D). Margalef's index only considers the number of species, while Simpson's dominance index highlights the structure of the community by considering both the number of species and their relative importance, and by pondering the dominance of a few species. This index was chosen because it is well understood and provides a good estimate of diversity at relative small sample sizes. Both indexes were calculated as follows: [D.sub.Mg] = S-1/lnN; D = 1 - [summation] [(pi).sup.2]; where N = number of individuals of all species, S = number of species, pi = ni/N, and ni = number of individuals of species "i" (Magurran 2004; Moreno 2001).

The Relative Importance Index (RII) allows for an estimation of the species not only considering its abundance but also its occurrence or frequency. In this way, species poorly represented in individual numbers but frequently recovered over a long period can be balanced with numerous species with sporadic occurrence (Remes Lenicov & Virla 1993; Murua et al. 2006). The Relative Importance Index was calculated by the following formula:

RII = Ni/Nt x Mi/Mt x 100

where Ni = number of individuals of species "i"; Nt = total number of individuals of all species; Mi = number of samples in which species "i" occurred and Mt: total number of samples taken.

Species with RII values > 10 were considered as "very frequent"; those with a RII between 1-9 "frequent"; RII between 0.2-0.99 "less frequent"; and RII [less than or equal to] 0.19 "occasional" (Table 1). Data regarding host plants, geographic distribution and phytosanitary importance of the species more frequently captured on Vicia are summarized in Table 2.

Statistical Analyses

The relationships between the population densities of the species Paratanus exitiosus and Agalliana ensigera and the weather variables were analyzed by means of simple and multiple linear regression using Statistical Graphics SGWIN[R] Plus 4.0 (Statgraphics Plus 4.0; Statistical Graphics Corporation, 1994-1999, Herndon, Virginia, USA) and Statistica[R] 99 (Statistica 7.0, StatSoft, Inc.). The original data were transformed in order to achieve linearization. The descriptive-predictive models for the population abundance of P. exitiosus and A. ensigera were determined by means of logistic regression, where [P.sub.x] = proportion of captured insects and [Q.sub.x] = proportion of uncaptured insects; odds = P/Q, with Q = 1 - P; logit (P) = ln (odds) = ln (P/Q).

The statistical significance of each linear model obtained was evaluated by comparing [F.sub.value], [P.sub.value] (significance level < 0.05 is statistically significant) and the coefficient of determination ([R.sup.2]).

Normality was corroborated by the Kolmogorov-Smirnov test using the program GraphPad Instat V 3.01 and the normality hypothesis test of the software Statgraphics Plus 4.0. Homoscedasticity was verified by Bartlett's test using the software GraphPad Instat (Graph pad Software, Inc, Copyright 1992-1998, San Diego. California, USA).

The hypothesis proposed for this analysis is that the temporal pattern of accumulation of adults would be partly explained by the thermal regime, the photoperiod and the water balance (precipitation--evapotranspiration).


A total of 1,618 individuals ([N.sub.2009] = 1259; [N.sub.2011] = 359) were collected and 18 species identified; most of which were included in the Cicadellidae (Cicadomorpha), represented by 16 species distributed in 5 subfamilies (Deltocephalinae, Agallinae, Xerophloeinae, Cicadellinae and Gyponinae), followed by Delphacidae (Fulgoromorpha) with only 2 species included in the subfamily Delphacinae (Table 1).

The number of collected specimens varied over sampling and, in both yr, the highest number was recorded in Nov ([N.sub.2009] = 261; [N.sub.2011] = 66). Likewise, the Species Richness varied between 2009 and 2011 ([S.sub.2009] = 15; [S.sub.2011] = 10). Of these species, 7 were present in both yr, including the most abundant ones.

In both yr sampled, the leafhopper P. exitiosus was the species most abundant with 1,097 specimens identified, followed by A. ensigera (316) and Xerophloea viridis Fabricius with 85 specimens. The species P. exitiosus and A. ensigera remained markedly numerous through the crop cycle.

In terms of species succession, neither seasonal nor phenological succession were observed and most of the them were collected over the whole growing season.

In general, Margalef values showed lower species richness in both yr ([D.sub.Mg2009]: 1.96 and [D.sub.Mg2011]: 1.54), with a clear increase in 2009. The diversity was also estimated by Simpson Index. The values obtained for each year ([D.sub.2009]: 0.43 and [D.sub.2011]: 0.65) suggested a rising inequality in the species abundance distribution in 2011, that means a lower diversity than in 2009.

The RII values determined that the species shared by both cycles showed almost the same frequency pattern. The leafhoppers P. exitiosus and A. ensigera were the most frequent (RII [greater than or equal to] 10), followed by Bergallia signata (Stal) andX. viridis (RII 1-9), in 2009. These latter species, together with B. neosignata (Oman) were the "frequent" species in 2011 (Table 1), while the remaining species were "occasional".

In both yr, the most frequent species, P. exitiosus and A. ensigera, presented population increases during the months of Nov and Dec. In 2009, P. exitiosus registered 3 increases, the highest (N = 215) coinciding with pod formation phase; while in 2011, there was only 1 increase (N = 53) at the end of flowering phase (Fig. 1). Agalliana ensigera showed a similar behavior the 2 yr, with a single increase ([N.sub.2009] = 49; [N.sub.2011] = 26) coinciding with the pod filling phase (Fig. 2). Increases were always registered when plants of Vicia showed its maximum height ([h.sub.2009] = 39 cm; [h.sub.2011] = 35 cm) in Nov.

From the application of simple linear regres sion models, a statistically significant association was found between the dependent variable (density of P. exitiosus and A. ensigera) and some of the independent variables. However, when the multiple regression linear models were applied some of these variables explained the same patterns (autocorrelation) while others did not show statistically significant associations.

These analyses indicate that the models that best describe the population density of each species are as follows:

For P. exitiosus:

Ln [(P/Q).sub.Accum] = -4.48 - 0.0042 x Hydric Balance [(mm).sub.Accum]

+ 0.0049 x Photoperiod [(Hs).sub.Accum].

([P.sub.value] < 0.01; F: 1918; GL: 12; [R.sup.2]: 0.997) and, for A. ensigera:

Ln [(P/Q).sub.Accum] = - 3.93 + 0.0218 x Degree-[days.sub.10Accum] + 0.0213 x Hydric Balance [(mm).sub.Accum].

([P.sub.value] < 0.01; F: 1204; GL: 12; [R.sup.2]: 0.996)

where P is the estimated proportion of adults of P. exitiosus and A. ensigera, Hydric [Balance.sub.Accum] is the difference between the readings for precipitation and evapotranspiration (accumulated) and Degree [days.sub.10Accum] is the number of accumulated heat units during a certain period when the average daily temperature exceeds the developmental zero of 10[degrees]C.

For both P. exitiosus and A. ensigera, the ANOVA results indicated strong associations between the dependent and the independent variables: (Hydric Balance ([P.sub.value] < 0.0038)//Photoperiod ([P.sub.value] < 0.01)) and (Degree [days.sub.10] accum ([P.sub.value] < 0.00001)// Hydric Balance ([P.sub.value] < 0.0001)) respectively.

The resulting fits show that the population density of P. exitiosus is strongly dependent on photoperiod and hydric balance, (difference between the precipitation and evapotranspiration); whereas the population density of A. ensigera is strongly influenced by hydric balance and the accumulated degree [days.sub.10] (Figs. 1 and 2).

In considering these results, it is important to take into account the fact that the method used to collect adult P. exitiosus and A. ensigera was sampling without replacement of individuals into their natural habitat. This could influence population density and generate errors in readings subsequent to taking samples. For this reason, some errors may be expected in the capacities of the models to estimate population density of these species. Thus further studies in coming yr should be made to validate the models.


The results of this study demonstrate that Cicadellidae species associated with V. villosa are very diverse. Five subfamilies were registered: the most represented were Deltocephalinae species (37.5%), and Agallinae species (37.5%), which together contributed 75% of the total diversity, followed by species of Cicadellinae (12.5%), and Xerophloeinae and Gyponinae each contributing 6.25%. However, both yr sampled showed remarkable differences in species richness and abundance for all the Auchenorrhyncha associated with Vicia, probably related to differences in densities of various spontaneous plant species. Weeds within crops could serve as food plants and oviposition alternative hosts, and thus able to increase insect populations (Norris & Kogan 2005). It is well known, that food resources could influence the spatial distribution of insects, even more in temperate areas where vegetation have a marked seasonality. A previous contribution by Haddad et al. (2001) suggests that high plant densities would increase the resource concentrations potentially attractive to a greater number or diversity of insects. So, the higher abundance and species richness in 2009 (N = 1259; S = 15) may be due to a major density of spontaneous vegetation within Vicia. In 2011, the use of pre- and post-emergence herbicides caused a density decrease of such vegetation, which could cause a reduction in the observed abundances (N = 359) and perhaps also influence the spatial distribution of hoppers leading to migration to adjacent crops and/or spontaneous vegetation. Contributions made by Balwin & Creamer (2005), Hall et al. (2004) and Tillman et al. (2004) demonstrate that Vicia can attract both beneficial and harmful insects into cropping systems, and that such species can also disperse to other cash crops when the vetch matures or dies. This suggests that the effects on insect populations will depend on the subsequent/adjacent crops and other environmental factors (Balwin & Creamer 2005). Given that most of the collected leafhoppers use grasses as their primary hosts, for feeding and oviposition and most crops sown adjacent to Vicia were gramminae, cicadellids may come from grasses to Vicia and probably uses Vicia as a food, overwintering or shelter plant or as an alternative host.

The seasonal pattern of insect abundance is synchronized with the availability of food resources, which can vary with the climate (Wolda 1978). Weather conditions play an important role in insect population increases, even more so in the case of sap feeders that can exploit plant sap throughout the year. Besides this, the most frequent species found in Vicia showed seasonal patterns in their abundance, with greater abundance in Nov-Dec, i.e., P. exitiosus [N.sub.2009] = 2 1 5 and [N.sub.2011] = 53, and A. ensigera [N.sub.2009] = 49 and [N.sub.2011] = 26). The increase in temperature, photoperiod and availability of water (air humidity and precipitation) showed a significant positive relation with the abundance of these 2 species, and appear to be the factors favoring the increases in their populations (Figs. 1 and 2).

To sum up, the seasonal abundance of these species cannot be explained only by climate factors, although climate certainly has a great influence. Many other factors, such as interspecific competition, predation, parasitism, distribution of a food resource at a particular time of the year, among others, appear to act together with climate factors to mold the patterns of distribution and abundance of these insects (Pereira da Silva et al. 2011).

Considering sanitary importance of the most frequent species, P. exitiosus is a confirmed vector of Sugar beet yellow wilt virus to sugar beet in Chile (Oman 1949). Studies conducted in Argentina showed that P. exitiosus is a frequent species in the central region, colonizing garlic crops and is considered a potential vector of the phytoplasm 16 Sr III (X-disease) which causes the garlic decline disease (Catalano 2011). Also the leafhopper A. ensigera is the most important vector in South America responsible for transmission of Argentine curly top disease of sugar beet (Fawcett 1927) and Brazilian curly top of tomato (Costa 1952). Agalliana ensigera is widely distributed in Argentina, and frequently found in the central region on several plant hosts, particularly maize (Paradell et al. 2001), alfalfa (Meneguzzi 2008) and garlic (Catalano 2011). This species is mentioned as potential phytoplasm vector of Ar AWB (witches broom) in alfalfa and 16 SrIII (X-disease or garlic decline disease) by Meneguzzi (2008) and Catalano (2011), respectively.

Delphacodes kuscheli Fennah (Delphacidae) was scarcely represented in Vicia crops, however, it deserves to be mentioned because of its well known role as the main vector of the Mal de Rio Cuarto virus (MRCV) of maize in the central area of Argentina (Remes Lenicov et al. 1985). The occurrence of D. kuscheli could be influenced by the presence of oat in adjacent areas--one of the preferential hosts for this vector species (Dagoberto et al. 1985; Teson et al. 1986; Remes Lenicov & Virla 1999a).

This work represents the first diversity analysis of Auchenorrhyncha on Vicia crops. We emphasize that Vicia villosa is a new host-plant record for 15 species studied here (except: P. exitiosus and A. ensigera). Buenos Aires province was cited as a new distribution record for the species: Atanus viridis Linnavuori 1955 and Curtara samera (Delong & Freytag 1972).

More studies should be conducted in order to better understand how both the abundance and diversity of these insects are influenced in order to help generate preventive cultural practices to minimize their activity (Purcell & McBride, 1999).

Caption: Fig. 1. Relationship between climatic (hydric balance, photoperiod) and phenological conditions and density of Paratanus exitiosus (Beamer), in Buenos Aires, during 2009 and 2011. Hydric balance is the difference between the cumulative precipitation and evapotranspiration in a certain period of time.

Caption: Fig. 2. Relationship between climatic (hydric balance, degree [days.sub.10]) and phenological conditions and density of Agalliana ensigera Oman in Buenos Aires, during 2009 and 2011. Hydric balance is the difference between the cumulative precipitation and evapotranspiration in a certain period of time. Degree [days.sub.10] are the number of accumulated heat units during a certain period when the average daily temperature exceeds the developmental zero of 10[degrees]C


We thank Dr. Alejandro Lucia (CIPEIN Centro de Investigaciones de Plagas e Insecticidas)--CITEFA-CONICET-UNSAM) for his help and advice with the statistical analyses, and Jorge Cepeda from the Meteorological Station INTA EEA Hilario Ascasubi. This research was supported by the Institutions Comision Investigaciones Cientificas (CIC), Consejo de Investigaciones Cientificas (CONICET), Universidad Nacional de La Plata (UNLP) and INTA Project BASUR-1272307--PRET-"Proyecto de gestion de la accion institucional en el territorio del valle bonaerense del Rio Colorado (Bs. As).

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PARADELL, S., GALEANO E., GONZALEZ, O., CONCI, V., DOCAMPO, D., AND CONCI, L. 2003. Resultados preliminares del relevamiento en Cicadelidos como posibles vectores de fitoplasmas en el cultivo de ajo en San Juan y Cordoba, Argentina. Rev. EEA-INTA La Consulta, Mendoza, Argentina: 111-112.

PARADELL, S., VIRLA, E., REMES LENICOV DE A. M. M., GIMENEZ PECCI, M. P., CATALANO, M. I., LAGUNA, I. G., AND MURUA L. 2005. Cicadelidos sobre cultivos de maiz y la maleza asociada en areas afectadas por Corn Stunt Spiroplasma (CSS) de las provincias de la zona centro de Argentina (Hemiptera-Auchenorryncha). VIII Congreso Nac. Maiz, Rosario, Santa Fe: 296-299.

PEREIRA DA SILVA, N. A., FRIZZAS, M. R., AND MARTINS DE OLIVEIRA C. 2011. Seasonality in insect abundance in the "Cerrado" of Goias State, Brazil. Rev. Brasileira Entomol. 55(1): 79-87.

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REMES LENICOV, ANA M. M. DE, TESON, A., DAGOBERTO, E., AND HUGUET, N. 1985. Hallazgo de uno de los vectores del "Mal de Rio Cuarto" del maiz. Gaceta Agron. 5(25): 251-258.

REMES LENICOV, A. M. M. DE, AND VIRLA, E. 1992. Homopteros Auquenorrincos asociados al cultivo de maiz en la Republica Argentina. I: Familia Delphacidae. Actas del V Congreso Nacional de maiz 92. II Reunion Suramericana (IV): 34-54.

REMES LENICOV, A. M. M. DE, AND VIRLA, E. 1993. Homopteros auquenorrincos asociados al cultivo de trigo en la Republica Argentina. I. Analisis preliminar de la importancia relativa de las especies. Studies on Neotrop. Environ. 28: 211-222.

REMES LENICOV, A. M. M. DE, AND VIRLA, E. 1999a. Homopteros vectores de interes fitosanitario: un problema creciente en la Argentina (Insecta-Homoptera-Auchenorrhyncha). Rev. Soc. Entomol. Argentina 58(1-2): 43-47.

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(1) Division Entomologia. Facultad de Ciencias Naturales y Museo (UNLP). CIC. CONICET. Paseo del Bosque s/No. (B1900FWA) La Plata, Buenos Aires, Argentina

(2) EEA INTA Hilario Ascasubi, Buenos Aires, Argentina

* Corresponding autor; E-mail:



Subfamily         Species          Abundance   RII

Agallinae         Agalliana        158         25.15     Very
                  ensigera                               frequent

                  Bergallia         10          0.365    Less
                  confusa                                frequent

                  Bergallia         20.5        2.26     Frequent

                  Bergallia          6.5        1.75     Frequent

                  Bergallia          0.5        0.0035   Occasional

                  Bergallia          2          0.0635   Occasional

Deltocephalinae   Paratanus        548.5       62.25     Very
                  exitiosus                              frequent

                  Atanus             0.5        0.015    Occasional

                  Haldorus           1          0.005    Occasional

                  Amplicephalus      3          0.09     Occasional

                  Amplicephalus      0.5        0.015    Occasional

                  Spangbergiella     0.5        0.0035   Occasional

Xerophloeinae     Xerophloea        42.5        2.95     Frequent

Gyponinae         Curtara            0.5        0.0035   Occasional
                  DeLong &

Cicadellinae      Ciminius           0.5        0.0035   Occasional

                  Syncharina         1          0.005    Occasional


Delphacinae       Delphacodes        7.5        0.25     Less
                  kuscheli                               frequent

                  Delphacodes        0.5        0.0035   Occasional
                  Lenicov &



Agalliana ensigera Oman

DISTRIBUTION                                    IMPORTANCE

Argentina: Jujuy,       pumpkin Cucurbita       Confirmed vector of
Salta Tucuman, La       maxima (Ducht.),        "Argentine Curly Top
Rioja, Catamarca,       potato Solanum          Virus" to sugar beet
Santiago del Estero,    tuberosum L.            (Fawcett, 1927) and
Chaco, Misiones,        (Christensen 1942);     of "Brazilian Curly
Entre Rios, San Juan,   pepper Capsicum annum   Top Virus" to tomato
Mendoza, Santa Fe, La   L., "tomato"            (Costa, 1952).
Pampa, Buenos Aires,    Lycopersicum            Possible vector of
Rio Negro               esculentum Hill,        "Witches-Broom
(Christensen 1942;      fababean Vicia faba     Disease" of alfalfa
Remes Lenicov 1982;     L., zucchini            in San Juan
Remes Lenicov et al.    Cucurbita pepo L,       (Meneguzzi 2008).
2004; Paradell 1995;    berrie Fragaria spp.,   Potential vector of
Dughetti et al. 2012;   cotton Gosypium         the phytoplasm
Varela et al. 2007).    hirsutum L., wheat      16SrIII X-disese
                        Triticum aestivum L.,   which cause the
                        maize Zea mays L,       disease "Garlic
                        alfalfa Medicago        decline" (Catalano
                        sativa L., soibean      2011).
                        Glycine max L.
                        (Christensen 1942;
                        Remes Lenicov 1982;
                        Meneguzzi 2008);
                        sugar beet Beta
                        vulgaris L. (Bennet &
                        Munck 1946, Remes
                        Lenicov 1982);
                        sorghum Sorghum
                        vulgare (Pers.)
                        (Remes Lenicov et al.
                        2004; Remes Lenicov
                        et al. 2006), tobacco
                        Nicotiana tabacum L.,
                        sunflower Ricinius
                        communis L. (Zanol &
                        Menezes 1982), oat
                        Avena sativa L.,
                        prairie grass Bromus
                        unioloides Kunth and
                        weeds (Paradell
                        1995), garlic Allium
                        sativum L. (Catalano
                        2011), citrus Citrus
                        sp., carrot Daucus
                        carota L., hairy
                        vetch V. villosa
                        (Dughetti et al.

                        Bergallia confusa (Oman)

Argentina: Jujuy,       potato, red clover      Vector of the
Tucuman, San Juan,      Trifolium pratense      phytoplasm (grupo
Mendoza, San Luis,      L., maize, wheat,       16Sr VII Ash Yellows)
Cordoba, La Pampa,      sorghum, weeds (Remes   associated to
Buenos Aires (Remes     Lenicov 1982;           "Witches-Broom
Lenicov 1982;           Paradell 1995; Remes    Disease" of alfalfa
Paradell 1995; Remes    Lenicov et al. 2004;    in San Juan province,
Lenicov et al. 2004;    Remes Lenicov et al.    Argentina (Meneguzzi
Remes Lenicov et al.    2006), garlic           2008).
2006; Varela et al.     (Catalano 2011),
2007).                  alfalfa (Meneguzzi
                        2008), oat, linen
                        Linum usitatissimum
                        L., alfalfa, sorghum,
                        tomato (Varela et al.
                        2007). New record for
                        hairy vetch V.

                        Bergallia signata (Stal)

Argentina: Jujuy,       alfalfa, white clover
Tucuman, Chaco,         Trifolium spp.,
Misiones, San Juan,     maize, wheat, "pririe
Mendoza, Buenos         grass" Bromus
Aires, Rio Negro        unioloides Kunth,
(Remes Lenicov 1982;    potato, beet Beta
Remes Lenicov et al.    vulgarisL., radish
2004; Varela et al.     root Raphanus sativus
2007).                  L., turnip Brassica
                        raba L., purslane
                        Portulaca oleracea L.
                        (Remes Lenicov 1982;
                        Remes Lenicov et al.
                        2004), pepper
                        Capsicum annuum var,
                        tomato, carrot
                        (Varela et al. 2007).
                        New record for hairy
                        vetch V. villosa.

                        Bergallia neosignata (Oman)

Argentina: San Juan,    potato, alfalfa,        unknown
Buenos Aires, La        wheat y maize (Remes
Pampa y Neuquen         Lenicov 1982; Remes
(Remes Lenicov 1982;    Lenicov et al. 2004).
Remes Lenicov et al.    New record for hairy
2004).                  vetch V. villosa.

                        Paratanus exitiosus (Beamer)

South America. Chile    maize (Paradell et      Vector of "Virus
(Oman, 1949) and        al. 2005), rice Oryza   Sugar Beet Yellow-
Argentina: Rio Negro    sativa L., wheat,       Wilt" (Bennet & Munck
(Beamer 1943; Bennett   sugar beet Beta         1946), causing
& Munck 1946), Jujuy,   vulgaris L. var.        disease "Yellow Wilt"
Chaco, San Luis,        saccharifera            of sugar beet (Hepp &
Cordoba (Linnavuori     (Linnavuori, 1959),     Vargas 2002);
1959; Paradell et al.   sorghum (Remes          potential vector of
2005), Buenos Aires     Lenicov et al. 2006),   the phytoplasm
(Remes Lenicov et al.   garlic (Paradell et     16SrIII X-disease
2006); San Juan         al. 2003, Galdeano et   which cause the
(Galdeano et al.        al. 2009; Catalano      "Garlic decline"
2009, Meneguzzi         2011), alfalfa          disease (Catalano
2008); Mendoza          (Meneguzzi 2008),       2011).
(Catalano 2011).        hairy vetch V.
                        villosa (Dughetti et
                        al. 2012).

                        Xerophloea viridis (Fabricius)

EEUU, Mexico, Peru,     weeds (Teson et al.     Vector of "Virus
Venezuela, Brasil,      1986), wheat (Remes     Sugar Beet Yellow-
Bolivia and             Lenicov & Virla,        Wilt" to sugarcane in
Argentina: Salta,       1993), maize, barley    Argentina (Bennet &
Tucuman, Misiones,      Hordeum vulgare L.,     Munck 1946).
Cordoba, Mendoza,       sweet potato Ipomoea
San Juan, Santa Fe,     batatas Poir., tomato
Buenos Aires, Neuquen   , lettuce Lactuca
(Nielson 1962;          sativa L., San Jose
Paradell 1995; Remes    weed Ageratum
Lenicov et al. 2004;    conyzoides L., Sida
Meneguzzi 2008;         rhombifolia L.,
Catalano 2011).         Digitaria decubens
                        Stent (Zanol &
                        Menezes 1982;
                        Paradell 1995),
                        citrus Citrus
                        sinensis L. (Paradell
                        et al. 2000), alfalfa
                        (Meneguzzi 2008),
                        garlic (Catalano
                        2011). New record for
                        hairy vetch V.


                        Delphacodes kuscheli Fennah

Chile (Fennah 1955),    maize, wheat, oat,      Vector of "Mal de Rio
Uruguay (Remes          sorghum, barley,        Cuarto virus" (MRCV)
Lenicov et al. 2000)    pririe grass, Sorghum   on maize in Argentina
and Argentina: Jujuy,   halepense L., Cynodon   (Remes Lenicov et al.
Salta, Tucuman,         dactylon (L.) Pers.     1985)
Chaco, Cordoba, Santa   (Remes Lenicov &
Fe, Entre Rios, San     Virla, 1999b). New
Luis, Catamarca, La     record for hairy
Rioja, San Juan,        vetch V. villosa
Mendoza, Buenos
Aires, La Pampa,
Neuquen, Rio Negro
(Remes Lenicov &
Teson 1978; Remes
Lenicov & Virla 1992,
1999a; Virla & Remes
Lenicov 2000; Laguna
et al. 2002, 2003).


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Author:Paradell, Susana; Defea, Barbara; Dughetti, Arturo; Zarate, Alberto; De Remes Lenicov, Ana M.M.
Publication:Florida Entomologist
Article Type:Report
Geographic Code:3ARGE
Date:Jun 1, 2014
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