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José A. Santiago Lastra, Luis E. García Barrios, Julio C. Rojas, Hugo Perales Rivera
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Host selection and egg laying behavior of wild populations of the mountain white butterfly, Leptophobia aripa (Boisduval), was observed in the presence of a group of host plants (Brassica oleracea L. var. capitata) of varying quality. Host variation was generated by manipulating three crop management variables: fertilization, water, and light. Leptophobia aripa was not indifferent to host quality variation, and showed great ability to evaluate and discern among a group of hosts. A sigmoidal relation was found between egg laying and host plant size. The latter was probably perceived through the host's diameter, or other physical and chemical characteristics related to this attribute. More detailed studies are necessary in order to understand which cues this insect uses to locate its host and which other attributes it evaluates upon deciding to lay eggs. This understanding could allow for the development of agro-ecological alternatives in controlling this insect, considered to be a crop pest in some regions of Mexico and Central America.

All herbivorous insects show some degree of host selectivity. Most adult holometabolous species must select an appropriate host for larval growth and survival (Bernays & Chapman 1994). Under natural conditions, insects confront many external stimuli, their own internal physiological stimuli, and a series of environmental constraints (Visser 1986; Bernays & Chapman 1994; Badenes et al. 2004). This makes it very difficult to discern the relative importance to the insect of chemical, visual, and mechanical stimuli from host and non-host plants (Schoonhoven et al. 1998; Hooks & Johnson 2001). However, it is generally assumed that the host selection process in specialist insects is governed primarily by volatile chemical signals, later by visual stimuli, and finally by non-volatile chemical signals (Hern et al. 1996; Hooks & Johnson 2001).

Female butterflies reject many potential hosts when searching for egg laying sites. They demonstrate a hierarchy in host preferences, discriminating among plant species, among genotypes, among individuals with different phenological and physiological conditions, and even among plant parts, although not all discriminate at the finer scales (Thompson & Pellmyr 1991; Bernays & Chapman 1994). However, this knowledge is derived from studies of very few insect species (Bernays & Chapman 1994; Schoonhoven et al. 1998). Furthermore, there may be significant behavioral differences within a family, among species of the same genus, or even among different populations of the same species (Jones 1977; Singer & Parmesan 1993; Reich & Downes 2003).

To this date, there are no studies on host selection behavior of the mountain white butterfly, Leptophobia aripa (Boisduval). This insect is a multivoltine species with overlapping generations. Females lay masses of 15 to 80 eggs (Bautista & Vejar 1999). The mountain white butterfly specializes in the family Brassicaceae, and it is an important pest of Brassica crops in Southeastern Mexico, Central America, and the Caribbean (CATIE/MIP 1990, Santiago et al. in press). However, it is not known which plant physiological stage is best suited for oviposition of L. aripa. In the case of cultivated plants, crop management choices may determine the quality of the plant as a host (Andow 1991).

The objective of the present study was to observe the egg laying behavior of L. aripa in host plant patches (Brassica oleracea L. var. capitata) of different qualities.

Materials and Methods

The experiment was established in the Valley of San Cristóbal de Las Casas Chiapas, México (2,113 m.a.s.l.; C(w2)(w); García 1973) within the cabbage production area of the Highlands of Chiapas. Cabbage plants of the variety Copenhagen Market were started in seed beds. Twenty five days after germination, each seedling was transplanted to a black plastic bag (20 cm high by 15 cm in diameter). The bag contained a 1:1 proportion of clay-loam forest soil and sand.

Sixty four plants were prepared. These were divided into eight groups of eight plants each, and placed in a greenhouse. In order to generate different host qualities, each group was submitted to one of eight treatments for 40 days. These treatments consisted of all possible combinations of two fertilization levels, two watering levels, and two photosynthetically active radiation (PAR) levels (Table 1). Nitrogen fertilization was equivalent to 100 kg Ha-1, the most common dose applied to cabbage in the study zone (Santiago et al. in press). Treatments were irrigated with high or low water treatments every four and eight days, respectively, from August 1 to September 20, 2002. Accumulated irrigations (326 and 183 mm, respectively) were roughly equivalent to the high (320 mm) and low (195 mm) average cumulative rainfalls during the same period, to be found within the cabbage production zone where L. aripa was studied (Cervantes 1997).

Sixty five days after germination, the bagged plants were moved to an open field 200 m from a cabbage field to promote visits from wild populations of L. aripa. The 64 bags were randomly distributed in a square pattern without contiguous repetitions (Hurlbert 1984), with 50 cm between plants. Watering treatments were continued throughout the time of the plants' exposure to L. aripa.

For five days, L. aripa's flights during host location and egg laying behavior were observed (for 1 h per day between 10 a.m. and 2 p.m.) and this information was recorded. A total of 28 individuals were observed from the time they entered until they left the group of host plants. The behavior of 8 females (that actually laid eggs during the five recorded hours) was classified into four types of acts: linear flight, turning flight, landing and egg laying. Each behavioral act was recorded on an experiment layout map.

The cabbage plants were reviewed daily in the afternoon (5 to 5:30 p.m.) for 11 days, and the number of eggs laid per plant during 9 h of exposure (8 a.m. to 5 p.m.) was recorded. After being counted, the eggs were carefully removed with a damp flannel cloth, in order to avoid hatching and to minimize visual or chemical stimuli from the eggs which could inhibit egg laying of conspecific females (Bernays & Chapman 1994). Hilker & Meiners (2002) reported for Pieris brassicae (L.) that egg removal might not completely eliminate such stimuli. However, in this study, L. aripa laid eggs repeatedly on most plants from which previously laid eggs were removed.

Each afternoon after sampling, the group of plants was enclosed with greenhouse plastic in order to prevent them from receiving rain water and additional butterfly visits.

Eighty two days after planting, the height and diameter of plants were measured, and above ground biomass was harvested to determine fresh weight per plant. Also, a 2-cm2 leaf sample was taken from each plant for determining the foliar nitrogen and chlorophyll concentrations with standard methods (AOAC 1999).

The experiment was designed to relate oviposition to host plant management treatments, assuming that the latter produce variation in host plant parameters that are relevant for egg-laying behavior (Myers 1985; Hern et al. 1996; Hooks & Johnson 2001). To check this assumption, we also explored to what extent such variation was actually produced by treatments. Nutrient, water, and light treatment effects on plant height, diameter, above-ground fresh weight, leaf nitrogen concentration, and leaf chlorophyll concentration were analyzed with three-factor ANOVAs (Underwood 1997).

Because egg laying counts did not meet assumptions of normality due to numerous zero counts (Underwood 1997), statistical analysis was performed by logistical regression (Agresti 1996).

A step-wise multiple linear regression analysis was carried out between the number of eggs laid and the five parameters measured for each plant. A non-linear regression model was fitted between the number of eggs laid and that factor best explaining the egg-laying pattern observed in the linear model. Factors discarded in the linear model were proven to be non significant for the non-linear model as well. The non-linear regression model was fitted and selected with the program TableCurve™ 2D (AISN Software, Inc. 1994). The statistical software SPSS version 10.0.5 (1999) was used for the remaining analyses.


When a female L. aripa entered the host plant patches, on average 64% of behavioral acts were turning flights over the potential hosts, possibly for recognition and evaluating purposes. Landing on the host comprised 12% of behavioral acts. Egg laying was always preceded by a turning flight. Linear flights also were observed. The latter alternated with turning flights and landings. Sixty percent of linear flights were over lesser-quality hosts (e.g., non-fertilized plants). A typical search behavior in egg-laying L. aripa females is shown in Fig. 1, which shows that the butterfly flew over almost the entire group of plants and selectively laid eggs on up to four different highest-quality hosts.

The logistical regression model (maximum likelihood test: χ2 = 14.001, df = 3, P = 0.003) showed a greater probability of oviposition on fertilized plants (N2) than on non-fertilized plants (N1) (χ2Wald = 4.163, df = 1, P = 0.041). There was a marginally greater egg laying probability for plants which received more watering (W2) than on those which were watered less (W1) (χ2Wald = 3.212, df = 1, P = 0.073). The probabilities of laying eggs on plants with a greater (L2) and lesser (L1) PAR availability were not different (χ2Wald = 0.965, df = 1, P = 0.326) (Fig. 2).

None of the interactions among the three factors was significant: Nutrient × Watering (χ2Wald = 0.288, df = 1, P = 0.591). Nutrient × PAR (χ2Wald = 0.039, df = 1, P = 0.843). Watering × PAR (χ2Wald = 0.088, df = 1, P = 0.767). Nutrient × Watering × PAR (χ2Wald = 0.021, df = 1, P = 0.885).

Nutrient, watering, and PAR caused significant variation in physical and chemical plant parameters evaluated in this study (Table 2 and Table 3). Fertilized plants (N2) were taller, had a greater diameter, greater fresh weight, greater nitrogen concentration, and greater chlorophyll concentration than non-fertilized plants (N1). Plants receiving more water (W2) had a greater diameter and greater fresh weight, but similar height, nitrogen concentration, and chlorophyll concentration as compared to less watered plants (W1). Plants exposed to greater PAR availability (L2) were the shortest, had a smaller diameter, less fresh weight, greater nitrogen concentration, and similar chlorophyll concentration as compared to plants with less available PAR (L1). (Some of these effects of PAR reduction were possibly caused by better soil humidity conservation in shaded bags).

Significant Nutrient × Watering interactions were found for plant weight and crown diameter. These plant parameters did not respond to nutrient addition at low watering levels, but responded strongly at high watering levels (Table 2). Significant Nutrient × PAR interactions were found for nitrogen concentration.

The step-wise multiple linear regression analysis determined that fresh weight is the parameter that best explains variation in the number of eggs laid per plant (R2 = 0.61, df = 59, F = 90.731, P < 0.0005). The other four attributes evaluated proved to be non-significant (diameter, P = 0.248; height, P = 0.245; chlorophyll, P = 0.615; nitrogen, P = 0.779). When fresh weight was not included in the analysis, the only parameter selected as significant was diameter (R2 = 0.39, df = 59, F = 36.782, P < 0.0005). Again, the other three parameters were not significant (height, P = 0.905; chlorophyll, P = 0.718; nitrogen, P = 0.743).

A non-linear regression model was fitted between fresh weight and number of eggs per plant. The best among biologically reasonable models was a sigmoidal function. This function shows an abrupt increase in the response variable when the fresh weight of the plant exceeds a threshold, estimated for this study to be between 30 and 40 g (Fig. 3).


In this study, L. aripa was offered heterogeneous patches of hosts. Its egg laying behavior was not arbitrary or indifferent to options presented; rather the butterfly showed a capacity to evaluate and discriminate among the group of hosts. Selection behavior is common among Pieridae, but had not been previously documented for L. aripa.

Many studies have shown that Pieridae larvae survive and grow better on well fertilized and well watered Brassicaceae plants (e.g., Myers 1985; Chen et al. 2004). Leptophobia aripa preferred to lay eggs on plants that were fertilized and which grew under conditions of greater soil humidity. In this study, host size, probably perceived as foliar crown diameter, was the plant parameter factor associated to host preference by L. aripa. Host size increased significantly when both nutrient addition and high watering levels were present. Other plant parameters commonly modified by management (Chen et al. 2004), such as volatiles that act as cues and/or stimulate oviposition, were not studied and cannot be ruled out.

No single host management factor or host parameter has explained selection by Pieridae, and the importance of different factors varies and remains controversial. One of the species most closely related to L. aripa is Pieris rapae (L.), whose egg laying behavior has been widely studied, but remains controversial. For instance, Root & Kareiva (1984) reported that P. rapae follows a random flight host search, and lays eggs without discriminating quality factors. Renwick & Radke (1983) found that P. rapae was not attracted by volatile host cues. They also found that host size and form were not important in egg laying behavior. Radcliffe & Chapman (1966) did not find a correlation between plant size and P. rapae's egg laying preference. They concluded that color or chemical stimuli could be determining factors in host choice. In contrast, other authors have demonstrated that P. rapae's flight and egg laying patterns are modified by factors such as plant size, phenology, species, humidity content, nutrients, leaf color and plant chemistry (Jones 1977; Latheef & Irwin 1979; Myers 1985; Andow et al. 1986; Jones et al. 1987; Hern et al. 1996; Hooks & Johnson 2001).

Another related species is Pieris virginiensis (Edwards). Flight and egg laying patterns of P. virginiensis are very similar to those of P. rapae. Their flight is markedly linear; they widely disperse their eggs, and leave behind apparently attractive hosts. Their egg laying behavior does not respond to host-plant size (Cappuccino & Kareiva 1985).

Egg laying behavior observed for L. aripa, unlike that reported for P. rapae and P. virginiensis, did respond to plant size. We found a sigmoidal relation, as would be expected with species that lay eggs in masses and confront host quality heterogeneity (Roitberg et al. 1999). Perhaps L. aripa perceived size through the host's foliar crown diameter, as this was the second most important plant parameter explaining host selection.

Host selection by Leptophobia aripa also could have occurred through other size-related physical and chemical characteristics not evaluated in this study. These signals could play an important role in other ecological interactions. For example, Pieris napi (L.) uses Arabis gemmifera (Mastum.) as a plant host. This plant species grows covered by neighboring vegetation, and for this reason is a host of inferior quality (in nutritional content and biomass), but it allows P. napi to avoid parasitism by the Cotesia glomerata (L.) wasp and the Epicampocera succincta (Meigen) fly (Ohsaki & Sato 1999).

Fertilization and watering treatments also could have modified the plant's chemical composition; in the case of members of Brassicaceae family, it could modify glucosinolate concentrations (Myers 1985; Mewis et al. 2002; Chen et al. 2004). These secondary metabolites are produced by the plants as a chemical defense (Renwick & Radke 1983; Lambdon et al. 2003; Müller et al. 2003). Specialized insects sometimes use these compounds as chemical cues, and even incorporate them into their body and use them to defend against predators and parasitoids (Messchendorp et al. 2000; Mewis et al. 2002). Several crucifer insects are known to have glucosinolate detoxification and sequestration mechanisms (Wadleigh & Yu 1988). Müller et al. (2003) did not find glucosinolate sequestration in P. rapae and P. brassicae; the case for L. aripa still needs to be studied.

Another manner in which L. aripa could be attracted to larger plants is that observed in P. brassicae. This species, like L. aripa, tends to lay eggs in large masses when locating large-size hosts with abundant leaves (Stamp 1980; Le Masurier 1994). The aggregate lifestyle and conspicuous coloration of its larvae may provide a defense against predators and parasitoids (Stamp 1980; Le Masurier 1994).

In many cases, insect egg laying behavior results from balancing among factors which include minimizing parasitic and predatory risk, selecting the most nutritious host, avoiding intra-specific competition for food, and maximizing egg laying (Myers 1985; Ohsaki & Sato 1999). The insect internally weighs the various stimuli and inhibitors perceived through visual, chemical, and mechanical signals (Thompson & Pellmyr 1991; Hern et al. 1996).

Leptophobia aripa's searching and egg laying behavior observed in this study demonstrates its capacity to evaluate and discriminate among a group of hosts. Egg laying preference associated to host size has also been found for P. brassicae but not for P. rapae, P. virginiensis and P. napi. This confirms that related species may have significantly different behavior (Jones 1977; Singer & Parmesan 1993; Reich & Downes 2003).

Leptophobia aripa is a pest for Brassicaceae crops in some regions of Mexico and Central America. Producers in the region have adopted fertilizers and pesticides rather recently (Santiago et al. in press). Agroecological alternatives to heavy agrochemical use are desirable. Our findings suggest that nutrient addition to well-watered plants significantly increases plant weight (as expected) and, beyond a plant weight threshold, it also increases oviposition. It is important to study to what extent increased oviposition affects larval survival and growth, and cabbage head damage. Other plant parameters such as production of cue volatiles need to be investigated and their relation with plant size established. It is also important to study tradeoffs between plant size, cabbage head value, and crop damage caused by L. aripa, as well as the capacity of alternative management strategies (e.g., intercropping and moderate organic fertilization) to improve tradeoffs.


We thank Carlos V. Pérez Rodríguez and Juan Collazo López for technical support in the field, and Juan J. Morales López and Jesús Carmona de La Torre for chemical analysis. This study was supported by a grant from Fundación Produce Chiapas, A. C., and by a graduate scholarship from CONACYT to JASL. We also thank two anonymous reviewers for useful and constructive comments.

References Cited


A. Agresti 1996. An Introduction to Categorical Data Analysis. John Wiley and Sons, Inc., New York. Google Scholar


AISN Software, Inc. 1994. TableCurve 2D for Windows. User's Manual. Jandel Scientific Corporation, California. Google Scholar


D. Andow 1991. Vegetational diversity and arthropod population response. Annu. Rev. Entomol 36:561–586. Google Scholar


D. Andow, A. Nicholson, H. Wien, and H. Willson . 1986. Insect populations on cabbage grow with living mulches. Environ. Entomol 15:293–299. Google Scholar


AOAC (Association of Official Analytical Chemists) 1999. Official Methods of Analysis of AOAC International. Sixteenth Edition. Maryland. Google Scholar


F. Badenes, A. Shelton, and B. Nault . 2004. Evaluating trap crops for diamondback moth, Plutella xylostella (Lepidoptera: Plutellidae). J. Econ. Entomol 97:1365. 1372. Google Scholar


N. Bautista and G. Véjar . 1999. Lepidópteros más comunes en las hortalizas. In S. Anaya and J. Nápoles [eds.], Hortalizas Plagas y Enfermedades. Trillas, México. Google Scholar


E. Bernays and R. Chapman . 1994. Host-Plant Selection by Phytophagous Insects. Chapman and Hall, London. Google Scholar


N. Cappuccino and P. Kareiva . 1985. Coping with a capricious environment: a population study of a rare pierid butterfly. Ecology 66:152–161. Google Scholar


CATIE/MIP (Centro Agronómico Tropical de Investigación y Enseñanza/Proyecto Manejo Integrado de Plagas) 1990. Guía para el manejo integrado de plagas del cultivo de repollo CATIE. Costa Rica. Google Scholar


E. Cervantes 1997. La clasificación Tzotzil de suelos. In M. Parra and B. Díaz [eds.], Los Altos de Chiapas: Agricultura y Crisis Rural. Tomo 1. Los Recursos Naturales. ECOSUR, México. Google Scholar


Y. Chen, L. Lin, C. Wang, C. Yeh, and S. Hwang . 2004. Response of two Pieris (Lepidoptera: Pieridae) species to fertilization of a host plant. Zoological Studies 43:778–786. Google Scholar


E. Garcia 1973. Modificaciones al sistema de clasificación climática de Köeppen. Instituto de Geografía. UNAM, México. Google Scholar


A. Hern, G. Edwards, and R. McKinlay . 1996. A review of the pre-oviposition behavior of the small cabbage white butterfly, Pieris rapae (Lepidoptera: Pieridae). Ann. Appl. Biol 128:349–371. Google Scholar


M. Hilker and T. Meiners . 2002. Induction of plant responses to oviposition and feeding by herbivorous arthropods: a comparison. Entomol. Exp. Appl 104:181–192. Google Scholar


C. Hooks and M. Johnson . 2001. Broccoli growth parameters and level of head infestations in simple and mixed plantings: Impact of increased flora diversification. Ann. Appl. Biol 138:269–280. Google Scholar


S. Hurlbert 1984. Pseudoreplication and the design of ecological field experiments. Ecological Monographs 54:187–211. Google Scholar


R. Jones 1977. Movement patterns and egg distribution in cabbage butterflies. J. Animal Ecol 46:195–212. Google Scholar


R. Jones, V. Nealis, P. Ives, and E. Scheermeyer . 1987. Seasonal and spatial variation in juvenile survival of cabbage butterfly Pieris rapae: evidence for patchy density-dependence. J. Animal Ecol 56:723–737. Google Scholar


P. Lambdon, M. Hassall, R. Boar, and R. Mithen . 2003. Asynchrony in the nitrogen and glucosinolate leaf-age profiles of Brassica: is this a defensive strategy against generalist herbivore? Agric. Ecosyst. Environ 97:205–214. Google Scholar


M. Latheef and R. Irwin . 1979. Factors affecting oviposition of Pieris rapae on cabbage. Environ. Entomol 8:606–609. Google Scholar


A. Le Masurier 1994. Costs and benefits of egg clustering in Pieris brassicae. J. Animal Ecol 63:677–685. Google Scholar


L. Messchendorp, G. Gols, and J. Van Lonn . 2000. Behavioral observations of Pieris brassicae larvae indicate multiple mechanisms of action of analogous drimane antifeedants. Entomol. Exp. Appl 95:217–227. Google Scholar


I. Mewis, C. Ulrich, and W. Schnitzler . 2002. The role of glucosinolates and their hydrolysis products in oviposition and host-plant finding by cabbage webworm, Hellula undalis. Entomol. Exp. Appl 105:129–139. Google Scholar


C. Müller, N. Agerbirk, and C. Olsen . 2003. Lack of sequestration of host plant glucosinolates in Pieris rapae and P. brassicae. Chemoecology 13:47–54. Google Scholar


J. Myers 1985. Effect of physiological condition of the host plant on the ovipositional choice of the cabbage white butterfly, Pieris rapae. J. Animal Ecol 54:193–204. Google Scholar


N. Ohsaki and Y. Sato . 1999. The role of parasitoids in evolution of habitat and larval food plant preference by three Pieris butterflies. Res. Popul. Ecol 41:107–119. Google Scholar


D. Radcliffe and R. Chapman . 1966. Varietal resistance to insect attack in various cruciferous crops. J. Econ. Entomol 59:120–125. Google Scholar


P. Reich and B. Downes . 2003. Experimental evidence for physical cues involved in oviposition site selection of lotic hydrobiosid caddis flies. Oecolologia 136:465–475. Google Scholar


J. Renwick and C. Radke . 1983. Chemical recognition of host plants for oviposition by the cabbage butterfly, Pieris rapae (Lepidoptera: Pieridae). Environ. Entomol 12:446–450. Google Scholar


RoitbergB., I. Robertson, and J. Tyerman . 1999. Vive la variance: a functional oviposition theory for insect herbivores. Entomol. Exp. Appl 91:187–194. Google Scholar


R. Root and P. Kareiva . 1984. The search for resources by cabbage butterflies (Pieris rapae): Ecological consequences and adaptative significance of markovian movements in a patchy environment. Ecology 65:147–165. Google Scholar


J. Santiago, L. García-Barrios, and H. Perales . 2006. Producción campesina con alto uso de insumos industriales. El cultivo de repollo (Brassica oleracea L.) en Los Altos de Chiapas. Sociedades Rurales, Producción y Medio Ambiente. Universidad Autónoma Metropolitana. México D. F. In Press. Google Scholar


L. Schoonhoven, T. Jermy, and J. Van Loon . 1998. Insect-Plant Biology from Physiology to Evolution. Chapman and Hall, London. Google Scholar


M. Singer and C. Parmesan . 1993. Sources of variation in patterns of plant-insect association. Nature 361:251–253. Google Scholar


SPSS 1999. Advanced Statistics ver. 10.0.5. User's Manual for Windows. SPSS, Inc., USA. Google Scholar


N. Stamp 1980. Egg deposition patterns in butterflies: why do some species cluster their eggs rather than deposit them singly? The American Naturalist 115:367–380. Google Scholar


J. Thompson and OPellmyr . 1991. Evolution of oviposition behavior and host preference in Lepidoptera. Annu. Rev. Entomol 36:65–89. Google Scholar


A. Underwood 1997. Experiments in Ecology: Their Logical Design and Interpretation using Analysis of Variance. Cambridge University Press. Google Scholar


J. Visser 1986. Host odor perception in phytophagous insects. Annu. Rev. Entomol 31:121–144. Google Scholar


R. Wadleigh and S. Yu . 1988. Detoxification of isothiocyanate allelochemicals by glutathione transferase in three lepidopterous species. J. Chem. Ecol 14:1279–1288. Google Scholar


Fig. 1.

Schematized search behavior in an egg-laying female of L. aripa upon entering the group of mixed-quality hosts. Shaded cells indicate where eggs were laid, each cell contains a replicate of a determined treatment. For example N2W2L2 corresponds to fertilized plants, with more watering and with more PAR availability (see Table 1 for notation; only plants intersected by flight are labeled). Note that 11 out of 15 turning flight occurred over N2W2 plants, and all four cases of egg laying occurred on this same class of plants.


Fig. 2.

Average percentage of cabbage plants on which L. aripa laid eggs (taken from 11 samples). a) N1: non fertilized plants, and N2: fertilized plants (**P < 0.05). b) W1: plants with less watering, and W2: plants with more watering (*P < 0.1). c) L1: plants with lesser PAR availability, and L2: plants with greater PAR availability. Error bars: ± 1 SE.


Fig. 3.

Non-linear regression between fresh weight of cabbage plants and number of eggs laid by L. aripa per plant throughout 11 days of exposure. (R2 = 0.68, df = 59, F = 39.934, P < 0.001).


Table 1. Description of factors and levels for the treatments. Each level of a factor was combined with both levels of the other two factors.


Table 2. Summary of results from three-factor anovas testing the effects of nutrient (N), water (W), and PAR (L) on plant height, diameter, above-ground fresh weight, leaf nitrogen concentration, and leaf chlorophyll concentration. Test of significant P values < 0.05 are in bold.


Table 3. Mean (± 1 SE) of plant height, diameter, above-ground fresh weight, leaf nitrogen concentration, and leaf chlorophyll concentration for each factor level.

José A. Santiago Lastra, Luis E. García Barrios, Julio C. Rojas, and Hugo Perales Rivera "HOST SELECTION BEHAVIOR OF LEPTOPHOBIA ARIPA (LEPIDOPTERA: PIERIDAE)," Florida Entomologist 89(2), 127-134, (1 June 2006).[127:HSBOLA]2.0.CO;2
Published: 1 June 2006
Brassica oleracea
host plant selection
host quality
mountain white butterfly
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