Research Article

Life Table and Nutritional Ecology of Epilachna vigintioctopunctata Fab. (Colioptera: Coccinellidae) on Three Host Plants  

N. Roy
M. U. C. Women’s College, Department of Zoology, Ecology Research Unit, Burdwan-713104, West Bengal, India
Author    Correspondence author
International Journal of Horticulture, 2017, Vol. 7, No. 2   doi: 10.5376/ijh.2017.07.0002
Received: 03 Nov., 2016    Accepted: 12 Dec., 2016    Published: 30 Jan., 2017
© 2017 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Roy N., 2017, Life table and nutritional ecology of Epilachna vigintioctopunctata Fab. (Colioptera:Coccinellidae) on three host plants, International Journal of Horticulture, 7(2): 7-18 (doi: 10.5376/ijh.2017.07.0002)

Abstract

Host preference in relation to life table parameters and nutritional ecology of Epilachna vigintioctopunctata Fab. were studied under laboratory conditions. The pest, E. vigintioctopunctata showed more feeding preference and higher reproductive growth to its host plant, Solanum melongena followed by S. nigrum and Momordica cochinchinensis. The developmental duration of their neonates was shorter with higher adult longevity, fecundity, hatchability, and accumulated survivability in S. melongena followed by S. nigrum and M. cochinchinensis. The feeding indices and population parameters of E. vigintioctopunctata were significantly higher (P < 0.05) on S. melongena relative to the other host plants. The pest on S. melongena has shorter mean generation time (Tc) of 59.10 days with higher net reproductive rate (R0) of 16.63. Their generation survival (GS) on S. melongena (0.582) is significantly higher than S. nigrum (0.568) and M. cochinchinensis (0.550) with reverse of total generation mortality (K) of 0.290, 0.308 and 0.376, respectively. These differences in the nutritional ecology and demographic parameters are due to the variation in their phytochemical regime of respective host plants. Thus, the study may help to find the most vulnerable stage (egg and pupal stage) of this pest for appropriate control measures and also supports the use of S. nigrum as an alternative host towards S. melongena and as a trap crop towards M. cochinchinensis to avoid or minimum invasion of this pest for sustainable agriculture.

Keywords
Life table parameters; Nutritional ecology; Epilachna vigintioctopunctata; Solanum melongena; S. nigrum; Momordica cochinchinensis; Phytochemical regime; Trap crop; Sustainable agriculture

Introduction

The phytophagous, 28-spoted, epilachna beetle, Epilachna vigintioctopunctata Fab. (Coleopetra: Coccinellidae), is very important and widely distributed pest in South and East Asia, Australia, America, and the East Indies (Nakamura, 1976; Richards, 1983; Rajagopal and Trivedi, 1989). They are polyphagous and most destructive pest over several economic crops in all over India and other countries (Abbas et al., 1988; Abdullah et al., 2003; Anam et al., 2006; Rahaman et al., 2008; Abdullah, 2009). The host plants range of E. vigintioctopunctata in the Southeast Asian region include solanaceous (brinjal, Potato, tomato, black nightshade), cucurbitaceous (teasel gourd, ribbed gourd, sweet gourd) and leguminous (long-podded cowpea, snake bean) plants (Nakamura et al., 1988; Rajagopal and Trivedi, 1989; Dhamdhere et al., 1990; Shirai and Katakura, 1999; Khan et al., 2000; Sharma and Sexena, 2012; Naz et al., 2012).Among the most preferred host plants, eggplant, Solanum melongena (Solanaceae) and teasel gourd, Momordica cochinchinensis (Cucurbitaceae) are widely cultivated summer vegetable crop of Indian subcontinent (Abdullah et al., 2003; Tandon and Sirohi, 2009; Khan et al., 2011).Black nightshade, Solanum nigrum (Solanaceae), is a fairly common herb found in disturbed habitats and it can be a serious agricultural weed when it competes with crops (Abdullah, 2009). In general farmers have to cope with a range of pests like epilachna beetle (Epilachna vigintioctopunctata, E. dodegastigma, E. indica), shoot borer (Leucinodes orbonalis), whitefly (Bemisia tabaci), red pumpkin beetle (Aulacophora foveicollis) and have been found to affect the growth of this vegetable crops and the weed (Abdullah et al., 2003; Abdullah, 2009; Abe and Matsuda, 2005; Khan et al., 2011).

 

Usually, to control the pest outbreaks, growers are often forced to apply chemical pesticides (Rahaman and Prodhan, 2007) but the sustainability of this strategy is in question because their applications do not provide effective control. There are several reports regarding their life cycle and control by using some insecticides, biorationals, botanicals etc.(Das et al., 2002; Liu et al.,2003; Karunaratne and Arukwatta, 2009; Sharma and Sexena, 2012; Rajagopal and Trivedi, 1989; Abbas and Nakamura, 1985; Otsu et al., 2003) but their host preference in terms of their feeding dynamics, survivability and population parameters on the three host plants are unknown.The present study will give the basic knowledge about their nutritional ecology and population dynamics including different demographic parameters on different host plants for developing sustainable agricultural tactics towards integrated pest management (IPM) during the crop cultivation.

 

1 Result

1.1 Phytochemicals

The biochemical constituents of the three host plants, S. melongena, S. nigrum and M. cochinchinensis, are presented in Table 1. The primary metabolites i.e., total carbohydrates, proteins and lipids including amino acids content was higher in S. melongena leaves (94.947±1.444, 10.470±0.110, 9.400±0.216 and 1.857±0.049 µg/mg dry wt., respectively) and varied significantly with S. nigrum and M. cochinchinensis leaves (F2,6= 154.885, 15.257, 47.209 and 26.753, respectively, P< 0.005) (Table 1). The moisture content were higher in S. nigrum (79.333±0.561%) relative to the other hosts and significantly differed (F2,6=45.692, P>0.0001)(Table 1). Among the secondary metabolites, total phenolics, flavonoids, tannin, saponin and phytate concentrations were higher in M. cochinchinensis (10.177±0.180, 8.233±0.203, 7.843±0.067, 11.620±0.061 and 7.470±0.112 µg/mg dry wt., respectively) and varied significantly with S. nigrum and S. melongena (F2,6= 115.697, 16.851, 239.295, 162.685 and 192.103, respectively, P< 0.005) (Table 1). On the other hand, alkanes and fatty acids contents were highest in S. melongena (0.680±0.023 and 0.570±0.026, µg/mg dry wt., respectively) relative to S. nigrum and M. cochinchinensis with highly significant differences (F2,6=29.115 and 16.363, respectively, P< 0.005) (Table 1). Thus, the nutritional factors (primary metabolites including moisture content) relative to the anti-nutritional factors (Secondary metabolites) in S. melongena leaves were always higher followed by S. nigrum and M. cochinchinensis leaves.

 

Table 1 A phytochemical variation of Solanum melongena, S. nigrum and Momordica cochinchinensis leaves

Note: Different letters with in the rows indicate the means (Mean ± SE of 3 observations) are significantly different (P< 0.05, Tukey’s HSD) with F and P values (ANOVA) while comparing one type of host plant with the other

 

1.2 Feeding dynamics

The life cycle and food utilization indices of this epilachna beetle, E. vigintioctopunctata were investigated in the laboratory condition by providing three host leaves separately and showed four distinct stages with four larval instars (i.e., egg, larva, pupa, and adult) (Supplementary material: Figure 1). Adult beetles are spherical and pale brown in colour with 28 black spots on their elytra. Yellowish cigar shaped eggs are laid in masses attached to ventral surface of leaves in batches of 20-35 eggs. Grubs (larvae) are yellowish with spines all over the body. The larvae pupate on the abaxial leaf surface and they are yellow with the anterior devoid of spines. As both, adult and larval stages feed on the epidermal tissues of leaves by scrapping the green matter (chlorophyll) (Supplementary material: Figure 2), the food utilization indices were relevant only for these stages which lead to the variation in overalllife history along with their population parameters.

 

Figure 1 Life cycle of Epilachna vigintioctopunctata Fab.

 

Figure 2 Defoliation effect of Epilachna vigintioctopunctata Fab. on the three host plants

 

The developmental duration of the different stages of E. vigintioctopunctata on S. melongena was shorter than S. nigrum and M. cochinchinensis but the adult longevity was always longer on S. melongena. Food utilization efficiency measures of the all four instars and their adults of E. vigintioctopunctata are given in tables 2-6. All the larval instars displayed higher value of food utilization indices (GR, CR, RGR, CI, ER, HCR, AD, ECI, ECD and HUE) when reared on S. melongena leaves followed by S. Nigrum and M. cochinchinensis leaves and showed different pattern of significance (Table 2; Table 3; Table 4; Table 5). Whereas, the adults have higher value of food utilization indices (GR, CR, ER, and ECD on M. cochinchinensis, RGR, AD, ECI and HUE on S. melongena and CI and HCR on S. nigrum) with different pattern of significance (Table 6).Among the different feeding indices, CR, CI and HCR values were higher in third instars followed by gradually decrease in fourth, second, first instars and in adults (Table 2; Table 3; Table 4; Table 5; Table 6). The AD and HUE values were decreased in same pattern (fourth instar >adult>first instar >second instar >third instar) whereas the other indices (RGR, ER, ECI and ECD) represent different patterns (Table 2; Table 3; Table 4; Table 5; Table 6).

 

Table 2 Feeding dynamics of first instar larvae of Epilachna vigintioctopunctata Fab. on Solanum melongena, S. nigrum and Momordica cochinchinensis leaves

Note: Different letters with in the rows indicate the means (Mean ± SE of 3 observations) are significantly different (P< 0.05, Tukey’s HSD) with F and P values (ANOVA) while comparing one type of host plant with the other

 

Table 3 Feeding dynamics of second instar larvae of Epilachna vigintioctopunctata Fab. on Solanum melongena, S. nigrum and Momordica cochinchinensis leaves

Note: Different letters with in the rows indicate the means (Mean ± SE of 3 observations) are significantly different (P< 0.05, Tukey’s HSD) with F and P values (ANOVA) while comparing one type of host plant with the other

 

Table 4 Feeding dynamics of third instar larvae of Epilachna vigintioctopunctata Fab. on Solanum melongena, S. nigrum and Momordica cochinchinensis leaves

Note: Different letters with in the rows indicate the means (Mean ± SE of 3 observations) are significantly different (P< 0.05, Tukey’s HSD) with F and P values (ANOVA) while comparing one type of host plant with the other

 

Table 5 Feeding dynamics of fourth instar larvae of Epilachna vigintioctopunctata Fab. on Solanum melongena, S. nigrum and Momordica cochinchinensis leaves

Note: Different letters with in the rows indicate the means (Mean ± SE of 3 observations) are significantly different (P< 0.05, Tukey’s HSD) with F and P values (ANOVA) while comparing one type of host plant with the other

 

Table 6 Feeding dynamics of adult stage of Epilachna vigintioctopunctata Fab. on Solanum melongena, S. nigrum and Momordica cochinchinensis leaves

Note: Different letters with in the rows indicate the means (Mean ± SE of 3 observations) are significantly different (P< 0.05, Tukey’s HSD) with F and P values (ANOVA) while comparing one type of host plant with the other

 

The accumulated survivability throughout the developmental stages were significantly (P< 0.05) greatest when the insects fed with S. melongena leaves instead of S. nigrum and M. cochinchinensis leaves (Table 7).The adult emergence was significantly higher (F2,6=22.710, P< 0.005) on S. melongena leaves (48.860 ± 2.416%) relative to S. nigrum (43.598 ± 0.860%) and M. cochinchinensis (32.984 ± 1.436%) leaves (Table 7). The fecundity was always significantly higher (F2,6=163.500, P< 0.0001) on S. melongenaleaves (140.667 ± 1.333 eggs/female) than S. nigrum (125.333 ± 1.764 eggs/female) and M. cochinchinensis (104.00 ± 1.155 eggs/female) (Figure 3). The growth index (GI) of E. Vigintioctopunctata was also higher on S. Melongena (3.624) than on S. nigrum and M. cochinchinensis (3.136 and 2.581, respectively) (Figure 4).

 

Table 7 Accumulated Survivality (%) of Epilachna vigintioctopunctata Fab. on Solanum melongena, S. nigrum and Momordica cochinchinensis leaves

Note: Different letters with in the rows indicate the means (Mean ± SE of 3 observations) are significantly different (P< 0.05, Tukey’s HSD) with F and P values (ANOVA) while comparing one type of host plant with the other

 

Figure 3 Fecundity of Epilachna vigintioctopunctata Fab. on Solanum melongena, S. nigrum and Momordica cochinchinensis leaves. Different letters with in the rows indicate the means (Mean ± SE of 3 observations) are significantly different (P < 0.05, Tukey’s HSD) while comparing one type of host plant with the other

 

Figure 4 Growth index (GI), of Epilachna vigintioctopunctata Fab. on Solanum melongena, S. nigrum and Momordica cochinchinensis leaves. Different letters with in the rows indicate the means (Mean ± SE of 3 observations) are significantly different (P < 0.05, Tukey’s HSD) while comparing one type of host plant with the other

 

1.3 Population dynamics

The population dynamics of E. vigintioctopunctata was calculated on their three host plant leaves, S. melongena, S. nigrum and M. cochinchinensis, separately and showed different pattern with highly significant differences. The three cohorts containing 146, 128 and 106 eggs for S. melongena, S. nigrum and M. cochinchinensis, respectively were reared separately to construct the demographic data of E. vigintioctopunctata and they represent similar pattern of development with significant variations (P< 0.05). The proportion of surviving (lx) and average population alive in each stage (Lx) was also gradually decreased in the development of egg to adult stage on the three host plants (Table 8; Table 9; and Table 10) which was always significantly higher on S. melongena than S. nigrum and M. cochinchinensis. Life expectancy (ex) in egg and forth instar stages were higher on S. nigrum whereas in first, second, third instar and in pupal stages were higher on S. melongena leaves (Table 8; Table 9; and Table 10). The killing power (Kx) was almost always higher on M. cochinchinensis than the other host plants (Table 8; Table 9; and Table 10). Thus, the overall most vulnerable stage of E. vigintioctopunctata was found in egg and pupal stages on all the three host plants.

 

Table 8 Stage-specific pooled life table of Epilachna vigintioctopunctata Fab. on Solanum melongena leaves (Mean of 3 observations)

 

Table 9 Stage-specific pooled life table of Epilachna vigintioctopunctata Fab. on Solanum nigrum leaves (Mean of 3 observations)

 

Table 10 Stage-specific pooled life table of Epilachna vigintioctopunctata Fab. on Momordica cochinchinensis leaves (Mean of 3 observations)

 

The GRR, R0, rm and λ of E. vigintioctopunctata on S. melongena (93.531, 16.630, 0.048 and 1.049, respectively) was significantly (P<0.001) higher than S. nigrum (72.828, 11.730, 0.042 and 1.042, respectively) and M. cochinchinensis (53, 5.594, 0.029 and 1.029, respectively) (Table 11). While, the Tc and DT of E. vigintioctopunctata on M. cochinchinensis was significantly (P<0.001) higher (60.3 and 24.275 days, respectively) than on S. nigrum (59.40 and 16.720 days, respectively) and S. melongena (59.10 and 14.573 days, respectively) (Table 11). Ultimately, the overall GS was higher on S. melongena (0.582) followed by S. nigrum (0.568) and M. cochinchinensis (0.550) which was the reflected reverse value of K (0.290, 0.308 and 0.376, respectively). Thus, the population growth parameters of E. vigintioctopunctata were optimum on S. melongena relative to S. nigrum and M. cochinchinensis in relation with their respective phytochemical regime.

 

Table 11 Population and reproductive parameters of Epilachna vigintioctopunctata Fab. on Solanum melongena, S. nigrum and Momordica cochinchinensis leaves (Mean of 3 observations)

 

2 Discussions

Host plant availability and quality in terms of their phytochemicals may play a vital role in pest feeding preference as well as population dynamics by affecting immature and adult performance (Applebaum, 1985; Slansky and Scriber, 1985; Dicke, 2000; Schoonhoven et al., 2005; Genc, 2006; Shobana et al., 2010; Roy and Barik, 2012; Roy and Barik, 2013; Roy, 2014). Host-plant utilization is also influenced by the ability of insect to ingest, assimilate and convert food into their body tissues (Scriber and Slansky, 1981; Dadd, 1985; Nation, 2001). Thus, host plant quality during larval growth and development is a key determinant of adult longevity, fecundity, fertility and survivability (Awmack and Leather, 2002; Syed and Abro, 2003; Shobana et al., 2010; Roy and Barik, 2013; Roy, 2014; Roy, 2015a). Ultimately, shorter developmental time along with greater total reproduction of insects on a host indicate greater suitability of a host plant (Roy and Barik, 2012; Roy and Barik, 2013; Roy, 2014; Roy, 2015a).The primary metabolites (carbohydrates, proteins, lipids, amino acids including moisture content) are used for general vitality, growth and reproduction (Mattson, 1980; Dadd, 1985; Slansky and Scriber, 1985; Turunen, 1990; Harborne, 1994; Genc and Nation, 2004; Schoonhoven et al., 2005; Shobana et al., 2010). Whereas, the secondary metabolites govern the suitability of the substrate for herbivores host preference and acceptability (Harborne, 1994; Schoonhoven et al., 2005; Roy and Barik, 2012; Roy and Barik, 2013; Roy, 2014; Roy, 2015a). Consumption of greater amount of secondary chemicals was also found to significantly reduce the adult longevity, fecundity, and retardation of larval growth (Harborne, 1994; Schoonhoven et al., 2005; Roy and Barik, 2012; Roy and Barik, 2013; Roy, 2014) due to higher metabolic costs (Xue et al., 2010).

 

In the present study, all nutritional indices varied when E. vigintioctopunctata fed on S. melongena, S. nigrum and M. cochinchinensis leaves. The current data reveal that all the four larval instars and adults of E. vigintioctopunctata had higher GR on S. melongena leaves due to good nutritional quality relative to the secondary chemicals. The other feeding indices are also affected by the host phytochemicals in relation with efficiency of nutrient digestion or absorption in their metabolic process. Thus, all the instars including adults were efficiently converting S. melongena leaves followed by S. nigrum and M. cochinchinensis leaves into their biomass by homeostatic adjustment in consumption rates and other efficiency parameters of the insect for ideal growth and development (Roy and Barik, 2012; Roy and Barik, 2013; Roy, 2014).The food utilization indices ultimately influence developmental duration, adult longevity, fecundity and survival of E. vigintioctopunctata. High survival rates and shorter developmental timeof E. vigintioctopunctata on S. melongena indicates better nutritional quality of their leaves followed by S. nigrum and M. cochinchinensis (Slansky and Scriber, 1985; Roy and Barik, 2012; Roy and Barik, 2013; Roy, 2014; Roy, 2015a). Therefore, it can be concluded that S. melongena leaves provides the best quality food to E. vigintioctopunctata (higher nutritional factors relative to the anti-nutritional secondary metabolites) followed by S. nigrum and M. cochinchinensis for their better nutritional ecology and population growth.

 

In ecological research, life table study is a central theme and used to calculate the vital statistics of pest population dynamics including comprehensive description of their survivorship, development, fecundity, mortality and life expectancy (Southwood, 1978; Carey, 2001; Sarfraz et al., 2007; Ali and Rizvi, 2008; Roy, 2015b; Dutta and Roy, 2016). It is widely useful technique in insect pest management, where developmental stages are discrete and mortality rates vary widely from one life stage to another (Kakde et al., 2014; Roy, 2015b; Dutta and Roy, 2016). There is a range of innet capacity for individual of a population (Gill et al., 1989; Roy, 2015b; Dutta and Roy, 2016) but the variation in available food quality (Kim and Lee, 2002; Liu et al., 2004; Yasar and Güngör, 2005; Win et al., 2011; Roy and Barik, 2012; Roy and Barik, 2013; Roy, 2014; Roy, 2015a) along with environmental factors (Ellers-Kirk and Fleischer, 2006; Schowater, 2006; Ali and Rizvi, 2010) always influence the growth, reproduction, longevity and survival of that population. The effect of different food sources on population parameters were observed in Epilachna dodecastigma (Khan et al., 2000), E. sparsa (Abbas and Nakamura, 1985), Plutella xylostella (Sarfraz et al., 2007) and Diacrisia casignetum (Roy and Barik, 2013) on different host plants. Variation between the results of this study could be attributed to differences among nutritional and anti-nutritional factors present in the respective host leaves that directly affect potential and achieved herbivore development and fecundity (Awmack and Leather, 2002; Syed and Abro, 2003; Roy and Barik, 2012; Roy and Barik, 2013; Roy, 2014; Roy, 2015a).

 

The overall accumulated survival rate of E. Vigintioctopunctata on S. melongena leaves was highest as compared with that on S. nigrum and M. cochinchinensis leaves and the result suggest type III survivourship curve like most insect species (Price, 1998; Schowalter, 2006; Roy, 2015b; Dutta and Roy, 2016). The GRR, R0, rm, Tc, DT and λ are fundamental ecological parameters to predict the pest population growth to evaluate the performance of an insect on different host plants as well as their resistance (Southwood and Henderson, 2000; Win et al., 2011; Roy, 2015b; Dutta and Roy, 2016). In the present study, GRR, R0, rm, and λ of E. vigintioctopunctata was significantly higher on S. melongena followed by S. nigrum and M. cochinchinensis leaves. Whereas, the Tc and DT was also significantly lower on S. melongena than on S. nigrum and M. cochinchinensis leaves. Thus, the population parameters of E. vigintioctopunctata on the three host leaves will help to assess the relative contribution made by the respective leaf constituents to the adult population pool. This knowledge of nutritional ecology along with the life table parameters of E. vigintioctopunctata can help one to understand their population dynamics for their proper management for sustainable agriculture of those crops.

 

In respect to the phytochemical regime, S. melongena leaves had the lowest antibiosis resistance against E. vigintioctopunctata and were the most favorable one relative to S. nigrum and M. cochinchinensis as indicated by the short developmental time (Tc and DT), which leads to reduce exposure of the insect to its natural enemies, and high survival of immature stages. By knowing such most vulnerable stages (egg and pupal stages) from the life table parameters, one can also make time based application of different control measures for proper management of that pest population. Ultimately, the Knowledge on their population growth as well as their nutritional ecology in relation with respective host leaf chemicals support the use of S. nigrum as an alternative host towards S. melongena and as a trap crop towards M. cochinchinensis to avoid or minimum invasion of this pest for sustainable agriculture.

 

3 Materials and Methods

3.1 Plant materials

The egg plant, S. melongena, teasel gourd, M. cochinchinensis and black nightshade, S. nigrum leaves (tender and mature) were collected randomly from the agricultural field near Chinsurah Rice Research Center, Hooghly (22°53' N, 88°23' E), West Bengal, India. Leaves were initially rinsed with distilled water and dried by paper toweling for phytochemical analysis.

 

3.2 Extraction and phytochemical estimation

The freshly harvested S. melongena, M. cochinchinensis and S. nigrum leaves were dipped in different solvents for extraction of different primary and secondary chemicals. Finally, the variability of the phytochemicals present in the three host plant  leaves were estimated by various biochemical analysis, such as total carbohydrates (DuBois et al., 1956), total proteins (Miller, 1959), total lipids (Folch et al., 1957), total amino acids (Moore and Stein, 1948; Roy et al., 2013), moisture(Banerjee and Haque, 1984; Roy and Barik, 2012), total phenols (Bray and Thorpe, 1953; Roy and Barik, 2012), total flavonoids (Zhishen et al., 1999), tannin (Trease and Evans, 1983), saponin (Trease and Evans, 1983), phytate (Reddy and Love, 1999), alkanes (Roy and Barik, 2012; Roy et al., 2012a), fatty acids (Roy et al., 2012b; Roy et al.,2013; Roy and Barik, 2014). Each biochemical analysis was repeated for three times and expressed in dry weight basis.

 

3.3 Insect rearing

The insects used in this study were collected by sweep netting from the respective host plants. The insects were maintained separately in 1 l glass jars, containing respective host leaves, and covered with fine-mesh nylon nets at 27 ± 1°C temperatures, 65 ± 10% relative humidity, and a 12L: 12D photoperiod in a BOD incubator. The F2 E. vigintioctopunctata were used for oviposition separately indifferent sterilized glass jars. Fresh leaves were given daily by replacing the previous one until eggs were laid by the test insects, and the eggs with each host-plant leaves were placed in new sterilized glass jars separately. To maintain natural condition of leaves, a moist piece of cotton was placed around the cut ends of leaf bearing twigs followed by wrapping with aluminum foil to prevent moisture loss. To study their life table parameters, the eggs were separated and checked daily until all eggs either hatched or collapsed, and the numbers of daily emerged larvae along with their survival and developmental time were recorded by daily monitoring. The larvae and adults were reared in sterilized glass jars containing 20 individuals on each kind of host leaves for study their feeding dynamics with five replicates for each host plants. Thus, the feeding dynamics along with different life table parameters of E. vigintioctopunctata were determined by a single generation with three cohorts for each kind of host leaves.

 

3.4 Food utilization

The weight gain of insects, the weight of food consumed and the weight of faeces produced were determined in a monopan microbalance (±0.001 mg). Third generation larvae of approximately same size were selected and weighed initially and were reared separately into separate sterilized glass jars. They were allowed to feeding on weighed quantity of three host leaves for 24 h and were reweighed. The fresh weight gain during the period of study was estimated by determining the differences in weight of larvae or adults. The quantity of the food consumed was estimated by determining the difference between the dry weight of diet remaining at the end of each experiment and total dry weight of diet initially provided.  All the values were expressed on dry weight basis through dry conversion values as described by Roy and Barik (2012 and 2013) and Roy (2014). Twenty individuals were used in each type of host leaves for each instars and adults with five replicates.

 

3.5 Food utilization indices

Food utilization indices (on dry weight basis) were calculated by the formulas of Waldbauer (1968) with slight modifications (Thangavelu and Phulon, 1983; Sétamou et al., 1999; Xue et al., 2010; Roy and Barik, 2012; Roy and Barik, 2013; Roy, 2014) to assess the feeding efficiencies of E. vigintioctopunctata as follows:

 

Growth rate (GR) = P/Q

Consumption rate (CR) = R/Q

Relative growth rate (RGR) = P/QS

Consumption index (CI) = R/QS

Egestion rate (ER) = T/QS

Host consumption rate (HCR) = CI+ER

Approximate digestibility (AD) (%) = 100 (R-T)/R

Efficiency of conversion of ingested food (ECI) (%) = 100P/R

Efficiency of conversion of digested food (ECD) (%) = 100P/(R-T)

Host utilization efficiency (HUE) (%) = 100 R/(R+T)

Hatchability (%) = 100A/B

Effective rate of rearing (ERR) (%) = 100C/D

Adult emergence (AE) (%) = 100E/C

Accumulated survivability (AS) (%) = Nb% XNa% / 100

Growth index (GI) = AE%/H

 

Where, P: dry weight gain of insect; Q: duration of experimental period; R: dry weight of food eaten; S: mean dry weight of insect during time Q; T: dry weight of faeces produced; A: number of eggs hatched; B: number of eggs laid by per female; Na: number of larvae in beginning of instar; Nb: number of larvae in succeeding instar; C: number of cocoons harvested; D: number of last instar larvae reached pupation; E: number of beetles emerged; H: Duration of immature period.

 

3.6 Life table parameters

The construction of life table includes several parameters which were calculated with the formulae of Carey (1993), Krebs (1994) and Price (1998). These parameters include probability of survival from birth to age x (lx),proportion dying each age (dx), mortality (qx), survival rate (sx) per day per age class from egg to adult stages. Using these parameters, the following statistics like, average population alive in each stage (Lx), life expectancy (ex), exponential mortality or killing power (kx), total generation mortality (K), generation survival (GS), gross reproductive rate (GRR), net reproductive rate (R0), mean generation time (Tc), doubling time (DT), intrinsic rate of population increase (rm) and finite rate of population increase (λ) were also computed, using Carey’s formulae(Carey, 1993).

 

3.7 Statistical analysis

All the data on food utilization indices and life table parameters of E. vigintioctopunctata of the three host leaves along with their phytochemical regime were analyzed using one way ANOVA (Zar, 1999). All the statistical analysis was performed using the statistical program SPSS v. 13.0 (SPSS, 2004).

 

Author’s contributions

NR designed the whole study including sample collection, chemical analysis, index calculation, data analysis and drafts the manuscript with the help of institutional support.

 

Acknowledgments

The financial assistance provided by the University Grants Commission [F. No. PSW-025/13-14], New Delhi, Government of India is gratefully acknowledged.

 

References

Ali A., and Rizvi P.Q., 2008, Effect of varying temperature on the survival and fecundity of Coccinella septempunctata (Coleoptera: Coccinellidae) fed on Lipaphis erysimi, Journal of Entomology, 5:133-137

https://doi.org/10.3923/je.2008.133.137

 

Ali A., and Rizvi P.Q., 2010, Age and stage specific life table of Coocinella septemounctata (coleoptera: coccinellidae) at varying temperature, World Journal of Agricultural Sciences, 6(3): 268-273

 

Applebaum S.W., 1985, Biochemistry of digestion, In: Kerkot G.A., and Gillbert L.I., eds, Comprehensiv insect physiology, biochemistry and pharmacology, Pergamon Press, New York, Oxford, pp. 279-311

https://doi.org/10.1016/b978-0-08-030805-0.50013-4

 

Awmack C.S., and Leather S.R., 2002, Host plant quality and fecundity in herbivorous insects, Annual Review of Entomology, 47: 817-844

https://doi.org/10.1146/annurev.ento.47.091201.145300
PMid:11729092

 

Baksha M.W., 1997, Biology, ecology and control of amra defoliator, Epilachna vigintioctopunctata  Linn. (Chrysomelidae:Coleoptera) in Bangladesh, Bangladesh Journal of Forest Science, 26: 43-46

 

Banerjee T.C., and Haque N., 1984, Dry-matter budgets for Diacrisia casignetum larvae fed on sunflower leaves, Journal of Insect Physiology, 30: 861-866

https://doi.org/10.1016/0022-1910(84)90059-3

 

Becerra J.X., 2004, Molecular systematics of Blepharida beetles (Chrysomelidae: Alticinae) and relatives, molecular phylogentics and evolution, 30: 107-117

 

Beeson C.F.C., 1941, The ecology and control of the forest insects of India and the neighboring countries,Forest Research Institute, Dehra Dun, pp.1006

 

Bray H.G., and Thorpe W.V., 1954, Analysis of phenolic compounds of interest in metabolism, Methods of Biochemical Analysis, 1: 27-52

https://doi.org/10.1002/9780470110171.ch2
PMid:13193524

 

Carey J.R., 1993, Applied demography for biologists with special emphasis on insects, Oxford University Press, New York, NY, USA, p. 211

 

Carey J.R., 2001, Insect biodemography,” Annual Review of Entomology, 46: 79-110

https://doi.org/10.1146/annurev.ento.46.1.79
PMid:11112164

 

Corbett G.H., and Yusope M., 1921, Preliminary notes on the “Kadongong"beetle, Podontia 14-punctata Linn., Agricultural Bulletin of the Federated Malay States, 9: 192-200

 

Dadd R.H., Nutrition: organisms, In: Kerkot G.A., and Gillbert L.I., eds, Comprehensive insect physiology, biochemistry and pharmacology, Pergamon Press, New York, Oxford, pp. 313-390

https://doi.org/10.1016/b978-0-08-030805-0.50014-6

 

Das J., Mannan A., Rahman Md.M., Dinar Md.A.M., Uddin M.E., Khan I.N., Habib Md.R., and Hasan N., 2011, Chloroform and ethanol extract of Solanum melongena and its different pharmacological activity like- antioxidant, cytotoxic, antibacterial potential and phytochemical screening through in-vitro method, International Journal of Research in Pharmaceutical and Biomedical Sciences, 2(4): 1805-1812

 

Day R.A., and Underwood A.L., 1986, Quantitative analysis, 5th edn., Prentice-Hall publication, pp. 701

 

Deka S., and Kalita J., 1999, Biology of Epilachna vigintioctopunctata L. – a defoliator of Solanum melongena (Koem) Kurz in Assam, Journal of Assam Science Society, 40: 19-24Deka S, Kalita J (1999)Biology of Podontia quatuordecimpunctata L. – a defoliator of Spondias pinnata (Koem) Kurz in Assam. Journal of Assam Science Society 40: 1

 

Deka S., and Kalita J., 2002a, Assessment of foliage loss caused by Epilachna vigintioctopunctata  (Coleoptera:Chrysomelidae) - a defoliator of Solanum melongena in Assam, Journal of Ecobiology, 14: 3-8 Deka S, Kalita J (2002a)Assessment of foliage loss caused by Podontia quatuordecimpunctata (Coleoptera Chrysomelidae) - a defoliator of Spondias pinnata in Assam. Journal of Ecobiology 14: 3-8.

 

Deka S., and Kalita J., 2002c, Field biology of ambara defoliator, Epilachna vigintioctopunctata  L. (Coleoptera: Chrysomelidae) in Assam, Journal of Applied Zoological Researches, 13: 176-178

 

Deka S., and Kalita J., 2002d, Seasonal incidence of Epilachna vigintioctopunctata  (Coleoptera) on hog plum (Spondias pinnata, Anacardiaceae) in Assam, Journal of Ecotoxicology and Environmental Monitoring, 12: 201-204 Deka S, Kalita J (2002c) Seasonal incidence of Podontia quatuordecimpunctata (Coleoptera) on hog plum (Spondias pinnata, Anacardiaceae) in Assam. Journal of Ecotoxicology and Environmental Monitoring 12: 201-204.

 

Deka S., and Kalita J., 200b, Distribution pattern of Epilachna vigintioctopunctata  (Insecta) under natural conditions, Journal of Ecobiology, 14:189-194

 

Dicke M., 2000, Chemical ecology of host-plant selection by herbivorous arthropods: a multitrophic perspective, Biochemical Systematics and Ecology, 28: 601-617

https://doi.org/10.1016/S0305-1978(99)00106-4

 

Dubios M., Gilles K., Hamilton J.K., Rebers P.A., and Smith F., 1951, A colorimetric method for the determination of sugars, Nature, 168: 167

https://doi.org/10.1038/168167a0

 

Dutta S., and Roy N., 2016, Life table and population dynamics of a major pest, Leptocorisa acuta (Thunb.) (Hemiptera: Alydidae), on rice and non-rice system, International Journal of Pure & Applied Bioscience, 4:199-207

https://doi.org/10.18782/2320-7051.2202

 

Ellers- Kirk C., and Fleischer S.J., 2006, Development and life table of Acalymma vittatum (Coloptera: Chrysomelidae), a vector of Erwinia tracheiphila in cucurbits, Environmental Entomology, 35(4): 875-880

https://doi.org/10.1603/0046-225X-35.4.875

 

Deka S, Kalita J (2002b) Distribution pattern of Podontia quatuordecimpunctata (Insecta) under natural conditions. Journal of Ecobiology 14 Folch J., Lees M., and Solane-Stanley G.H., 1957, A simple method for the isolation and purification of total lipids from animal tissues, Journal of Biological Chemistry, 226: 497-509

 

Genc H., 2006, General principles of insect nutritional ecology, Trakya University Journal of science, 7: 53-57

 

Genc H., and Nation J.L., 2004, Influence of dietary lipids on survival of Phyciodes phaon butterflies (Lepidoptera: Nymphalidae), Journal of Entomological Science, 39:  537-544

 

Gill J.S., Sidhu A.S., and Sigh J., 1989, A study to determine innate capacity for increase in numbers of Earias insulana (Boisd) on cotton, Journal of Insect Science, 2(1): 289-295

 

Harborne J.B., 1973, Phytochemical Methods: A Guide to Modern Techniques of Plant Analysis, Edn. 2, Chapman and Hall, New York, pp. 88-185

 

Harborne J.B., 1994, Introduction to Ecological Biochemistry, Academic Press, London

PMid:7765655

 

Howlader M.A., 1993, Growth, development, and survival of Podontia quaturdecempunctata (Coleoptera: Chrysomelidae) larvae on different parts of host plant, Bangladesh Journal of Zoology, 21: 1-7

 

Humphries E.C., 1956, Nitrates. In: Peach K., and Tracey M.V., Modern methods of plant analysis, Eds., Springer Verlag, Berlin, pp. 48-483

 

Husain M., and Ahmad M., 1977, Notes on chrysomelid beetles (Coleoptera) of the Bangladesh Agricultural University area, Mymensingh, Bangladesh Journal of Zoology, 5: 71-75

 

Kakde A.M., Patel K.G., and Tayade S., 2014, Role of life table in insect pest management--a review, IOSR Journal of Agriculture and Veterinary Science, 7(1): 40-43

https://doi.org/10.9790/2380-07114043

 

Kim D.S., and Lee J.H., 2002, Egg and larval survivorship of Carposina sasakii (Lepidoptera: Carposinidae) in apple and peach and their effects on adult population dynamics in orchards, Environmental Entomology, 31: 686-692

https://doi.org/10.1603/0046-225X-31.4.686

 

Krebs C.J., 1994, Ecology: The experimental analysis of distribution and abundance, 4thedn. Harper Collins College Publishers, New York

 

Liu Z., Li D., Gong P., and Wu K., 2004, Life table studies of the cotton bollworm, Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae), on different host plants, Environmental Entomology, 33:1570–1576

https://doi.org/10.1603/0046-225X-33.6.1570

 

Mattson W.J.Jr., 1980, Herbivory in relation to plant nitrogen content, Annual Review of Ecology and Systematics, 11: 119-161

https://doi.org/10.1146/annurev.es.11.110180.001003

 

Miller G.L., 1959, Protein determination for large numbers of samples, Analytical Chemistry, 31: 964

https://doi.org/10.1021/ac60149a611

 

Moore R.A., and Stein W.H., 1948, Photometric ninhydrin method for use in the chromatography of amino acids, Journal of Biological Chemistry, 176: 367-388

PMid:18886175

 

Nation J.L., 2001, Insect Physiology and Biochemistry, CRC Press, Boca Raton, FL

PMCid:PMC90373

 

Pramanik L.M., and Basu A.C., 1973, Biology of Podontia 14-punctata Linnaeus (Chrysomelidae:Coleoptera), a defoliator pest of hogplum in West Bengal, Indian Journal of Entomology, 35: 339-340

 

Price P.W., 1998, Insect Ecology, Wiley, New York

 

Reddy M.B., and Love M., 1999, The impacts of food processing on the nutritional quality of vitamins and minerals, Advances in Experimental Medicine and Biology, 459:  99-106

https://doi.org/10.1007/978-1-4615-4853-9_7
PMid:10335371

 

Roy N., 2015a, Host phytochemicals in regulation of nutritional ecology and population dynamics of Podontia quatuordecimpunctata L.(Coleoptera:Chrysomelidae), International Journal of Horticulture 5: 1-11

 

Roy N., 2015b, Life table and population parameters of Diacrisia casignetum Kollar (Lepidoptera:Arctiidae) on jute, Chorchorus capsularis (cv. Sonali; JRC-321), leaves, International Journal of Fauna and Biological Studies, 2: 23-29

 

Roy N., and Barik A. 2012, The impact of variation in foliar constituents of sunflower on development and reproduction of Diacrisia casignetum Kollar (Lepidoptera:Arctiidae), Psyche, Vol. 2012, Article ID: 812091, 9 pages, doi:10.1155/2012/812091

https://doi.org/10.1155/2012/812091

 

Roy N., and Barik A., 2013, Influence of four host plants on feeding, growth and reproduction of Diacrisia casignetum (Lepidoptera: Arctiidae), Entomological Science, 16(1): 112-118

https://doi.org/10.1111/j.1479-8298.2012.00546.x

 

Sardar M.A., and Mondal A., 1983, Bio-ecology and chemical control of Podontia 14-punctata (Linn.) on hogplum, Indian Journal of Agricultural Sciences, 53: 745-748

 

Sarfraz M., Dosdall L.M., and Keddie B.A., 2007, Resistance of some cultivated brassicaceae to infestations by Plutella xylostella (Lepidoptera: Plutellidae), Journal of Economic Entomology, 100: 215-224

https://doi.org/10.1603/0022-0493(2007)100[215:ROSCBT]2.0.CO;2
https://doi.org/10.1093/jee/100.1.215
PMid:17370831

 

Satpathi C.R., Mukhopadhyay A.K., Katti G., Pasalu I.C., and Venkateswarlu B., 2005, Quantification of the role of natural biological control in farmers rice field in West Bengal, Indian Journal of Entomology, 67(3): 211-215

 

Schoonhoven L.M., Van Loon J.J.A., and Dicke M., 2005, Insect-plant biology, Oxford University Press, Oxford

 

Schowalter T.D., 2006, Insect ecology: an ecosystem approach, 2ndedn. Academic Press, Tokyo

 

Scriber J.M., and Slansky F.Jr., 1981, The nutritional ecology of immature insects, Annual Review of Entomology, 26: 183-211

https://doi.org/10.1146/annurev.en.26.010181.001151

 

Sétamou M., Schulthess F., Bosque-Pérez N.A., Poehling H.-M., and Borgemeister C., Bionomics of Mussidia nigrivenella (Lepidoptera:Pyralidae) on three host plants, Bulletin of Entomological Research, 89: 465-471

 

Shobana K., Murugan A., and Kumar N., 2010, Influence of host plants on feeding, growth and reproduction of Papilio polytes (the common mormon), Journal of Insect Physiology, 56:1065-1070

https://doi.org/10.1016/j.jinsphys.2010.02.018
PMid:20223241

 

Singh P., and Misra R.M., 1989, Bionomics of the ambara defoliator Podontia 14- punctata Linn. (Coleoptera:Chrysomelidae), Indian Forester, 115: 910-915

 

Slansky F., and Scriber J.M., 1985, Food consumption and utilization, In: Kerkot G.A., and Gillbert L.I., eds, Comprehensive insect physiology, biochemistry and pharmacology, Pergamon, Oxford, England, pp. 87-113

https://doi.org/10.1016/b978-0-08-030805-0.50009-2

 

Southwood T.R.E., 1978, Ecological methods particular reference to study of insect population, The English Language Book Society and Chapman and Hall, London, pp. 524

 

Southwood T.R.E., and Henderson P.A., 2000, Ecological Methods, 3rd edn., Blackwell Science, Oxford, pp. 575

 

SPSS, 2004, Base 13.0 User’s Guide, SPSS Incorporation, Chicago, IL

 

Stebbing E.P., 1914, Indian forest insects of economic importance, Eyre and Spottiswoode Ltd., London, pp.648

https://doi.org/10.5962/bhl.title.23135

 

Syed T.S., and Abro G.H., 2003, Effect of brassica vegetable hosts on biology and life table parameters of Plutella xylostella under laboratory conditions, Pakisthan Journal of Biological Science, 22: 1891-1896

 

Thangavelu K., and Phulon J.C.D., 1983, Food preference of eri silkworm Philosa miaricini Hutt. (Saturniidae: Lepidoptera), Entomon, 8: 311-315

 

Trease G.E., and Evans W. C., 1983, Textbook of pharmacognosy, 12th edn., BallieseTindall and Company Publisher, London. pp. 343-383

 

Turunen S., 1990, Plant leaf lipids as fatty acid sources in two species of Lepidoptera, Journal of Insect Physiology, 36: 665-672

https://doi.org/10.1016/0022-1910(90)90071-M

 

Verheij E.W.M., and Coronel R.E., 1991, Plant resources of south-east asia No. 2: edible fruits and nuts, Pudoc Scientific Publishers,Wageningen, The Netherlands, pp. 287

 

Waldbauer G.P., 1968, The consumption and utilization of food by insects, Advances in Insect Physiology, 5: 229-288

https://doi.org/10.1016/S0065-2806(08)60230-1

 

Win S.S., Muhamad R., Ahmad Z.A., Adam N.A., 2011, Life table and population parameters of Nilaparvata lugens Stal. (Homoptera: Delphacidae) on rice, Tropical Life Sciences Research, 22(1): 25-35

PMid:24575207 PMCid:PMC3819089

 

Xue M., Pang Y.H., Wang H.T., Li Q.-L., and Liu T.-X., 2010, Effects of four host plants on biology and food utilization of the cutworm, Spodoptera litura, Journal of Insect Science, 10: 1-14

https://doi.org/10.1673/031.010.2201
PMid:20578886 PMCid:PMC3014753

 

Yasar B., and Güngör M.A., 2005, Determination of life table and biology of colorado potato beetle, Leptinotarsa decemlineata Say (Coleoptera: Chrysomelidae), feeding on five different potato varieties in Turkey, Applied Entomology and Zoology, 40: 589-596

https://doi.org/10.1303/aez.2005.589

 

Zar J.H., 1999, Biostatistical analysis, Prentice Hall, Upper Saddle River, NJ

 

Zhishen J., Mengcheng T., and Jianming W., 1999, Research on antioxidant activity of flavonoids from natural materials, Food Chemistry, 64: 555-559

https://doi.org/10.1016/S0308-8146(98)00102-2

International Journal of Horticulture
• Volume 7
View Options
. PDF(638KB)
. FPDF(win)
. HTML
. Online fPDF
Associated material
. Readers' comments
Other articles by authors
. N. Roy
Related articles
. Life table parameters
. Nutritional ecology
. Epilachna vigintioctopunctata
. Solanum melongena
. S. nigrum
. Momordica cochinchinensis
. Phytochemical regime
. Trap crop
. Sustainable agriculture
Tools
. Email to a friend
. Post a comment