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Life table parameters and digestive physiology of Aulacophora lewisii Baly (Coleoptera: Chrysomelidae) on three Luffa acutangula (L.) Roxb. (Cucurbitaceae) cultivars

Published online by Cambridge University Press:  05 January 2024

Susmita Das
Affiliation:
Ecology Research Laboratory, Department of Zoology, The University of Burdwan, Burdwan – 713 104, West Bengal, India
Sanoj Kumbhakar
Affiliation:
Ecology Research Laboratory, Department of Zoology, The University of Burdwan, Burdwan – 713 104, West Bengal, India
Rahul Debnath
Affiliation:
Ecology Research Laboratory, Department of Zoology, The University of Burdwan, Burdwan – 713 104, West Bengal, India
Anandamay Barik*
Affiliation:
Ecology Research Laboratory, Department of Zoology, The University of Burdwan, Burdwan – 713 104, West Bengal, India
*
Corresponding author: Anandamay Barik; Email: [email protected]
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Abstract

Aulacophora lewisii Baly (Coleoptera: Chrysomelidae) is an important pest of Luffa acutangula (L.) Roxb. (Cucurbitaceae) in India. Larvae of A. lewisii feed on the roots, while adults consume leaves of L. acutangula. In the current study, effects of three L. acutangula cultivars (Abhiskar, Debsundari, and Jaipur Long) on the life table parameters by age-stage, two-sex approach, and key digestive enzymatic activities (amylolytic, proteolytic, and lipolytic) of the larvae and adults of A. lewisii were determined. Further, nutrients (total carbohydrates, proteins, lipids, amino acids, and nitrogen content) and antinutrients (total phenols, flavonols, and tannins) present in the roots and leaves of three cultivars were estimated. The development time (egg to adult emergence) was fastest and slowest on Jaipur Long (31.80 days) and Abhiskar (40.91 days), respectively. Fecundity was highest and lowest on Jaipur Long (279.91 eggs) and Abhiskar (137.18 eggs), respectively. The intrinsic rate of increase (r) was lowest on Abhiskar (0.0511 day−1) and highest on Jaipur Long (0.0872 day−1). The net reproductive rate (R0) was lowest on Abhiskar (23.32 offspring female−1). The mean generation time (T) was shortest on Jaipur Long (52.59 days) and longest on Abhiskar (61.58 days). The amylolytic, proteolytic, and lipolytic activities of larvae and adults of A. lewisii were highest and lowest on Jaipur Long and Abhiskar, respectively. The lower level of nutrients and higher level of antinutrients influenced higher larval development time and lower fecundity of A. lewisii on Abhiskar than other cultivars. Our results suggest that Abhiskar cultivar could be promoted for cultivation.

Type
Research Paper
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

Introduction

Luffa acutangula (L.) Roxb. (Cucurbitacea), commonly known as ridge gourd, is an annual crop having vine with a long taproot system and sharply angled 5-lobed leaves. The plant is grown for production of fruits, which is consumed as vegetable. The primary centre of origin of this plant is India, and now it is naturalised through tropics and subtropics (Shendge and Belemkar, Reference Shendge and Belemkar2018; Al-Snafi, Reference Al-Snafi2019). The plant is widely cultivated in India, Bangladesh, Sri Lanka, Pakistan, China, Japan, Egypt, Africa, USA, Mexico, Brazil, Ecuador, Peru, Venezuela, and Australia (Al-Snafi, Reference Al-Snafi2019; Kumari et al., Reference Kumari, Nakandala, Nawanjana, Rathnayake, Senavirathna, Senevirathna, Wijesundara, Ranaweera, Mannanayake, Weebadde and Sooriyapathirana2019; Panicker, Reference Panicker2020). The fruit is a rich source of iron, calcium, phosphorous, ascorbic acid, and carotene (Nagarajaiah and Prakash, Reference Nagarajaiah and Prakash2014). In traditional medicine, the plant is used for the treatment of jaundice, diabetes, haemorrhoids, dysentery, headache, urinary bladder stone, splenitis, trachoma, ringworm infection, leprosy, etc. (Samvatsar and Diwanji, Reference Samvatsar and Diwanji2000; Shendge and Belemkar, Reference Shendge and Belemkar2018; S and Vellapandian, Reference S and Vellapandian2022). The whole plant has an immense medicinal value such as antidiabetic (Mohan Raj et al., Reference Mohan Raj, Mohammed, Vinoth Kumar, Santhosh Kumar and Debnath2012; Juma et al., Reference Juma, Pervin, Azad, Islam, Rahman, Kabir, Taznin, Bashar and Rahmatullah2013; Sharmin et al., Reference Sharmin, Khan, Akhter, Alim, Islam, Anisuzzaman and Ahmed2013; Panicker, Reference Panicker2020; Thatchinamoorthi et al., Reference Thatchinamoorthi, Ganesan and Pandian2021), antihyperlipidemic (Pimple et al., Reference Pimple, Kadam and Patil2011; Viviandhari et al., Reference Viviandhari, Prastiwi, Puspitasari and Perdianti2020), anticancer (Dashora and Chauhan, Reference Dashora and Chauhan2015; Nallappan et al., Reference Nallappan, Fauzi, Krishna, Kumar, Reddy, Syed, Reddy, Yaacob and Rao2021), analgesic and anti-inflammatory (Dandge et al., Reference Dandge, Rothe and Pethe2012; Iyyamperumal et al., Reference Iyyamperumal, Mohanavelua, Pitchaimuthu, Rahab, Periyannanc and Ilavarasand2013; Ananthalakshmi et al., Reference Ananthalakshmi, Rathinam and Sadiq2021), immunomodulatory (Kalasakar and Surana, Reference Kalasakar and Surana2014; Belemkar et al., Reference Belemkar, Sharma, Ghode, Shendge, Murthy and Paek2021) and CNS depressants activity (Misar et al., Reference Misar, Upadhye and Mujumdar2004; Belemkar et al., Reference Belemkar, Sharma, Ghode, Shendge, Murthy and Paek2021). The whole plant is also considered as a good source of antioxidants (Bulbul et al., Reference Bulbul, Zulfiker, Hamid, Khatun and Begum2011; Dashora and Chauhan, Reference Dashora and Chauhan2015; Shendge and Belemkar, Reference Shendge and Belemkar2018; Nallappan et al., Reference Nallappan, Fauzi, Krishna, Kumar, Reddy, Syed, Reddy, Yaacob and Rao2021; S and Vellapandian, Reference S and Vellapandian2022).

Aulacophora lewisii Baly (Coleoptera: Chrysomelidae) is an important pest of the genus Luffa (Yong, Reference Yong1993; Lewis and Metcalf, Reference Lewis and Metcalf1996; Abe et al., Reference Abe, Matsuda and Tamaki2000; Abe and Matsuda, Reference Abe and Matsuda2005). The insect also feeds on towel gourd, bitter gourd, and other cucurbitaceous plants (LiYun et al., Reference LiYun, KeJian, AiZhi, YongAn, ZhiWen, KeJian and YuSheng2009; Sarker et al., Reference Sarker, Rahman, Jahan and Khan2019). The insect feeds on cucurbitaceous plants due to presence of four cucurbitacins (B, E, I, and E-glucoside) (Abe et al., Reference Abe, Matsuda and Tamaki2000). The first to fourth instars feed on the young roots, while adults consume leaves and flowers of the plant and causes economic damage, if their populations are not controlled (Dilipsundar et al., Reference Dilipsundar, Chitra, Balasubramani, Arulprakash and Kumaraperumal2022). The insect is widely distributed in India, Bangladesh, Pakistan, China, Japan, Bhutan, Malaysia, Vietnam, and Taiwan (Ahmad et al., Reference Ahmad, Naeem and Bodlah2013; Lee and Beenen, Reference Lee and Beenen2015; Sarker et al., Reference Sarker, Rahman, Jahan and Khan2019). To date, literature on the biology of A. lewisii on L. acutangula is meagre.

Control of A. lewisii is mostly dependent on synthetic insecticides (endrin, lindane, malathion, dichlorvos, carbaryl, and carbofuran). These insecticides enter in the insect body through skin contact, ingestion, and inhalation. Organophosphates (malathion and dichlorvos) and carbmates (carbaryl and carbofuran) bind to the enzyme acetylcholinesterase at nerve endings throughout the bodies of insect, which causes overstimulation of the nervous system and subsequently, results death of the insect (Čolović et al., Reference Čolović, Krstić, Lazarević-Pašti, Bondžić and Vasić2013). Organochlorine insecticides (endrin and lindane) produces a non-competitive inhibition of γ-aminobutyric acid (GABA)-regulated chloride transport, blocking the stimulation of chloride influx into the neuron, causing hyperexcitability of the central nervous system, and ultimately, results death of the insect (Jayaraj et al., Reference Jayaraj, Megha and Sreedev2016). Applications of pesticides can cause many problems such as environmental pollution, harmful pesticide residues in crops, pest resurgence, outbreak of secondary pests and pesticide resistance. In contrast to the chemical control, host-plant resistance is the most economical and effective approach to control an insect pest. Therefore, host plant resistance should be emphasised in integrated pest management programme (IPM) to control an insect pest. Crop plant resistance against an insect pest can be achieved through various ways such as antixenosis, antibiosis, and tolerance. Among them, antixenosis is the most important because by this mechanism, a phytophagous insect pest exhibits non-preference towards the resistant plant, which affects both feeding and reproduction of the insect pest (Golizadeh et al., Reference Golizadeh, Ghavidel, Razmjou, Fathi and Hassanpour2017a, Reference Golizadeh, Jafari-Behi, Razmjou, Naseri and Hassanpourb). Crop plant cultivars of a species can vary in various physiological and morphological features including nutritional and anti-nutritional content, which can influence the development, longevity of adults and fecundity of an insect pest (Sarkar et al., Reference Sarkar, Mukherjee and Barik2016; Mukherjee et al., Reference Mukherjee, Karmakar and Barik2017; Golizadeh et al., Reference Golizadeh, Ghavidel, Razmjou, Fathi and Hassanpour2017a, Reference Golizadeh, Jafari-Behi, Razmjou, Naseri and Hassanpourb; Debnath et al., Reference Debnath, Mobarak, Mitra and Barik2020; Mobarak et al., Reference Mobarak, Roy and Barik2020; Mitra et al., Reference Mitra, Debnath, Mitra and Barik2022).

Life table is a powerful and necessary technique to analyse and understand the effect of different host plants including different cultivars of a host plant on the growth, survival, reproduction, and intrinsic rate of an insect population (Das et al., Reference Das, Koner and Barik2019; Koner et al., Reference Koner, Debnath and Barik2019). Construction of life table is necessary to understand the population dynamics of an insect pest prior to implement effective control programme. The traditional age-specific life table is based on only the female age-specific population, which ignores the male population, stage differentiation and the variable developmental rates among individuals, and ignoring the variable developmental rate and male population may cause errors in calculating demographic parameters such as the intrinsic rate of increase, net reproductive rate and the mean generation time (Chi and Liu, Reference Chi and Liu1985; Chi, Reference Chi1988; Chi and Su, Reference Chi and Su2006; Chi et al., Reference Chi, You, Atlıhan, Smith, Kavousi, Özgökçe, Güncan, Tuan, Fu, Xu, Zheng, Ye, Chu, Yu, Gharekhani, Saska, Gotoh, Schneider, Bussaman, Gökçe and Liu2020; Wei et al., Reference Wei, Chi, Guo, Li, Zhao and Ma2020). The age-stage, two-sex life table takes in to account of stage differentiation and male population, and it shows a solid relationship between mean fecundity and net reproductive rate (Chi and Liu, Reference Chi and Liu1985; Chi et al., Reference Chi, You, Atlıhan, Smith, Kavousi, Özgökçe, Güncan, Tuan, Fu, Xu, Zheng, Ye, Chu, Yu, Gharekhani, Saska, Gotoh, Schneider, Bussaman, Gökçe and Liu2020; Yang et al., Reference Yang, Sun, Chi, Kang and Zheng2020). The demography of an insect pest population in different cultivars of a host plant is usually considered as eco-friendly approach to find resistant or partially resistant cultivars of a crop plant.

The aims of the present study were to (i) construct age-stage, two-sex life table of A. lewisii to study the biology and population dynamics of A. lewisii on three L. acutangula cultivars (Abhiskar, Debsundari, and Jaipur Long are currently grown in West Bengal, India due to high yielding potential. Abhiskar and Debsundari were originated from West Bengal, while Jaipur Long was originated from Hyderabad, India), (ii) determine the amylolytic, proteolytic, and lipolytic activities of the fourth instars and adults of A. lewisii by feeding on the roots and leaves of three L. acutangula cultivars, respectively, and (iii) understand the probable effect of various nutrients (total carbohydrates, proteins, lipids, amino acids, and nitrogen) and antinutrients (total phenols, flavonols, and tannins) present in the roots and leaves of three L. acutangula cultivars on the biology and population dynamics potential of A. lewisii. Findings of this current study could contribute to IPM programmes of A. lewisii on L. acutangula.

Materials and methods

Host plants

Seeds of three L. acutangula cultivars (Abhiskar, Debsundari, and Jaipur Long) were sown separately in pots (18 cm diameter, 20 cm height) containing sterilised soil (1500 cm3) and were grown in natural condition during March–October 2022 at 30–37°C under natural photoperiod (13L:11D) at the Crop Research Farm (CRF) of the University of Burdwan (23°16′N and 87°54′E), West Bengal, India. Each plant with the pot was covered by a fine mesh nylon net (120 cm (height) × 65 cm (diameter)) to protect plants from insect attack and unintentional infection. Insecticides were not applied on these plants. Plants are watered once daily. Those plants which are not covered by nylon net are attacked by the adults of A. lewisii during early May.

Insect culture

Adults (males and females) of A. lewisii were collected from plants of each L. acutangula cultivar growing at the CRF of the University of Burdwan during May 2022. Adults (20 pairs of male and female) collected from a particular L. acutangula cultivar were fed on leaves of the same cultivar in glass jars (11 cm diameter × 22 cm height) as females could lay eggs on the leaves. The eggs (100) were allowed to hatch on moistened soil, and its larvae were fed on young tender roots of same L. acutangula cultivar on which adults of A. lewisii were also reared. For a particular cultivar, stock cultures containing 25 pairs of adults (males and females) were separately maintained for three generations in the laboratory at 27 ± 1°C, 70 ± 10% relative humidity and 12L:12D in biological oxygen demand incubators (ADS instruments and Tech., Kolkata, India) as the insects could habituate on each L. acutangula cultivar.

Life table study

Newly emerged fourth generation A. lewisii adults (antenna of male wider than female, and apical margin of abdominal ventrite V sinuate in female), which were fed on the leaves of same cultivar for three generations, were employed to construct life table. A pair of newly emerged adults (male and female) was placed in fine mesh nylon net cages (11 cm diameter × 22 cm height) for mating and egg laying (newly emerged males and females mate on the sixth day of emergence). After mating, each female was observed at 12 h interval to collect freshly laid eggs. Four eggs were randomly collected from a batch of newly laid eggs where a pair of male and female was paired on a particular L. acutangula cultivar (n = 25 pairs of males and females). Eggs laid within 12 h by the females were used for life table study on a particular L. acutangula cultivar. Groups of 100 eggs collected from 25 mated females, on which particular cultivar they were maintained, were employed to construct age-stage, two-sex life table of A. lewisii on the roots of each L. acutangula cultivar. Each egg was placed in an earthen pot (5 cm diameter × 3 cm height) containing sterilised soil, which was moistened with distilled water. Before placing the soil in the Petri dish, a moistened Whatman No 41 filter paper was placed. Each larva was considered as an individual replicate containing young root (2 cm length and 0.5 cm diameter) of a particular L. acutangula cultivar until adult emergence. Larval mortality and moulting including pupation time and the time of adult emergence of each individual were recorded at 24 h interval. Each newly emerged adult was placed in a separate glass jar (8 cm diameter × 10 cm length) and covered with fine mesh nylon net. Newly emerged adults were fed on the leaves of a particular L. acutangula cultivar, the root of the same cultivar was provided to the larvae for rearing. Fresh leaves were provided daily for adult's feeding. The longevity of adults, i.e. from adult emergence to death of males and females was also recorded at 24 h interval.

The length and breadth of eggs, and instars by feeding on the roots of a particular cultivar (Abhiskar, Debsundari, and Jaipur Long) were measured to observe the growth of A. lewisii (egg, and first, second, and third instars were measured by microscope fitted with objective lens of 10× attached with oculometer ERMA Japan, while fourth instars were measured in millimetre graph paper) (n = 10). Further, length and breadth of the pupa and newly emerged adults were measured in millimetre graph paper (n = 10).

Fecundity of A. lewisii through lifetime was recorded on the leaves of each L. acutangula cultivar, on the roots of the same cultivar on which larvae were reared. The adult pre-oviposition period (APOP: the period between the emergence of an adult female and her first oviposition), total pre-oviposition period (TPOP: the time interval from birth to the beginning of oviposition), oviposition days, daily fecundity and total fecundity (number of eggs produced during the reproductive period) were recorded on the leaves of each cultivar (Chi, Reference Chi1988; Chi and Su, Reference Chi and Su2006).

Raw data on the survival, development and oviposition of all individuals were analysed based on age-stage, two-sex life table theory (Chi and Liu, Reference Chi and Liu1985; Chi, Reference Chi1988) using the computer program TWOSEX-MSChart (Chi, Reference Chi2022a). The parameters calculated were: age-stage specific survival rate (sxj, x: age and j: stage), age-specific survival rate (lx), age-stage specific fecundity (fxj), age-specific fecundity (mx), age-stage life expectancy (exj), and age-stage reproductive value (vxj).

The potential population growth of A. lewisii on three L. acutangula cultivars (Abhiskar, Debsundari, and Jaipur Long) was projected according to Chi and Liu (Reference Chi and Liu1985) and Chi (Reference Chi1990) to forecast the future population size and age-stage structure by using the TIMING-MSChart program (http://140.120.197.173/Ecology/Download/Timing-MSChart.rar) (Chi, Reference Chi2022b).

Enzymatic activity of larvae and adults

Fourth generation fourth instars (2nd day) and adults (5 males and 5 females,10 days old) of A. lewisii that were fed on the roots and leaves, respectively, of three particular L. acutangula cultivars for three generations, were used to determine enzymatic activity. For each cultivar, fourth instars were ground with 100 mM sodium phosphate and 500 mM sodium chloride pH 7.6 (450 μl 10 mM Nacl), at a ratio of 45 μl larva−1. Samples were shaken for 30 min at 4°C and centrifuged at 1700 × g for 5 min, and the supernatants were used as enzyme sources. Adults were placed in ice to prevent any movements, and after that adults (n = 10) were rapidly dissected under a stereomicroscope. The haemolymph was cleaned with precooled distilled water, and the extraneous tissues were removed from midguts. Midguts including contents were homogenised in 450 μl of 10 mM NaCl by a glass homogeniser. The solution was centrifuged at 12,000 g at 4°C for 15 min and the supernatant was collected for enzymatic assays (Mohammadzadeh et al., Reference Mohammadzadeh, Bandani and Borzoui2013).

α-Amylase activity was determined according to Bernfeld (Reference Bernfeld1955) with some modifications by Mohammadzadeh et al. (Reference Mohammadzadeh, Bandani and Borzoui2013). The optimum pH on α-amylase activity was determined by incubation of the reaction mixture with pH set at 7–12. Soluble starch (1% w/v) as a substrate was added in 20 mM glycine–NaOH buffer (pH 7). One-hundred μl of the enzyme extract were added with glycine–NaOH buffer (500 μl; pH 7) at 37°C. Reaction began when 80 μl of 1% soluble starch were added and stopped 30 min later by addition of 100 μl of dinitrosalicylic acid (DNS) and heating in boiling water for 10 min. Each treatment was replicated five times including blanks in which substrate was added after DNS, and the absorbance was measured at 540 nm in the UV-visible spectrophotometer (Shimadzu, UV-1800240V). The result was expressed as mg maltose min−1 (one unit of α-amylase activity was defined as the quantity of enzyme required to produce 1 mg maltose at 37°C min−1).

Total proteolytic activity was estimated by the protocol of Elpidina et al. (Reference Elpidina, Vinokurov, Gromenko, Rudenskaya, Dunaevsky and Zhuzhikov2001) using azocasein as a substrate at the pH optimum. The buffer (100 mM sodium acetate phosphate borate buffer) was used to determine the pH optimum of proteolytic activity over a pH range of 7–12. Azocasein (0.5% w/v) as a substrate was mixed in 100 mM sodium acetate phosphate borate buffer (pH 9.0). Enzyme extracts (100 μl) were added with 200 μl azocasein and 400 μl of 100 mM sodium acetate phosphate borate buffer (pH 9.0) at 37°C. The enzymatic reactions were stopped by addition of 12% of 300 μl trichloroacetic acid (TCA). The solution was centrifuged at 12,000 g for 15 min and the supernatant monitored spectrophotometrically at 440 nm. The absorbance from the supernatant was measured at 440 nm in the UV-visible spectrophotometer (Shimadzu, UV-1800240V). Each treatment was replicated five times including blanks in which substrate was added after TCA, and the result was expressed as mU min−1 (one unit is defined as the amount of enzyme that is required to hydrolyse azocasein to give 1 μg of tyrosine in 1 min at 37°C at certain pH).

The lipolytic activities were assayed as described by Choi et al. (Reference Choi, Hwang and Kim2003). The standard reaction mixture (0.2 mM 2,3-dimercapto-1-propanol tributyrate (DMPTB) in 50 mM Tris-HCl, pH 7.2, 0.001% ethylenediaminetetraacetic acid, 0.06% Triton X-100 and 0.8 mM 5,5′-dithiobis(2-nitrobenzoic acid) (DTNB)) was prepared in a microcentrifuge tube. 50 μl of enzyme extract were added with 150 μl of standard reaction mixture and 800 μl of deionised water were added to make the total volume of the assay 1 ml. The final reaction mixture was incubated at 37°C for 30 min and the absorbance was measured at 400 nm in the UV-visible spectrophotometer (Shimadzu, Kyoto, Japan, UV-1800240V). We used a blank that contained no DMPTB. In the DMPTB–DTNB method, free thiol groups that are generated by the lipase hydrolysis of DMPTB reduce DTNB to create a yellow colour. Five samples were analysed for each experimental point. The assay was read to an end point and the molar extinction coefficient of DTNB 13.6 M−1 cm−1 was used for calculations.

Biochemical analysis of roots and leaves

The nutritional parameters from the roots and uninfested leaves of each L. acutangula cultivar (Abhiskar, Debsundari, and Jaipur Long) were estimated by using 1 g young tender roots and fresh leaves, respectively, to various biochemical analysis such as total carbohydrates (Dubois et al., Reference Dubois, Gilles, Hamilton, Rebers and Smith1956), total proteins (Lowry et al., Reference Lowry, Rosebrough, Farr and Randall1951), total lipids (Folch et al., Reference Folch, Lees and Stanley1957), total amino acids (Moore and Stein, Reference Moore and Stein1948), total phenols (Bray and Thorpe, Reference Bray and Thorpe1954) and total flavonols (Howell et al., Reference Howell, Bell and Stipanovic1976). Dried roots and leaves were used for determination of total tannins (Scalbert, Reference Scalbert, Hemingway and Laks1992) and total nitrogen (Vogel, Reference Vogel1958) as water content in young roots and fresh leaves may interfere satisfactory estimations. Each biochemical analysis was replicated five times.

Estimation of moisture content

One-gram young tender roots or fresh leaves from each L. acutangula cultivar (Abhiskar, Debsundari and Jaipur Long) was placed in a hot-air oven for 72 h at 50 ± 1°C and the dried roots or leaves were weighed in a balance (±0.01 mg). The water content was determined by recording the difference between fresh and dry weights of roots or leaves (n = 5). The moisture content for roots or leaves of three cultivars was replicated five times (Debnath et al., Reference Debnath, Mobarak, Mitra and Barik2020).

Statistical analysis

The means and standard errors of life table parameters were estimated by bootstrap technique (Efron and Tibshirani, Reference Efron and Tibshirani1993) with 100,000 replications, which is present in the TWOSEX-MS Chart program to observe whether the data are normally distributed (Chi, Reference Chi2022a). The paired bootstrap (Chi, Reference Chi2022a, Reference Chi2022b) was used to evaluate the differences at the 5% significance level in the development time, adult longevity, adult preoviposition period (APOP), total preoviposition period (TPOP), oviposition period and fecundity, and life table parameters (r, λ, R 0, and T) among three L. acutangula cultivars. Data on enzymatic activity of the fourth instars and adults among treatments, and the biochemical properties of three L. acutangula cultivars were subjected to one-way analysis of variance followed by Tukey's test (HSD) (Zar, Reference Zar1999). The Pearson correlation coefficient analysis was applied to observe the relationship between the life table parameters of A. lewisii and chemical properties (nutrient and antinutrients) of the roots and leaves of three L. acutangula cultivars. All the statistical analyses were performed by using SPSS (version 25.0) software.

Results

Development, survival and oviposition of A. lewisii

The effect of three L. acutangula cultivars (Abhiskar, Debsundari, and Jaipur Long) on larval development time and longevity of A. lewisii adults is given in table 1. Significant differences were recorded in the incubation period of eggs, which was the longest on Abhiskar followed by Debsundari and the shortest on Jaipur Long. Incubation period was 1.14 times longer on Abhiskar than Jaipur Long. The larval duration for the first two instars was the longest on Abhiskar followed by Debsundari and the shortest on Jaipur Long. However, the larval duration of third and fourth instars was longer on Abhiskar and Debsundari compared to Jaipur Long. The durations of first, second, third, and fourth instars were 1.61, 1.59, 1.26, and 1.23 times longer, respectively, on Abhiskar compared to Jaipur Long. The pupal duration was the longest on Abhiskar and the shortest on Jaipur Long, which is 1.30 times longer on Abhiskar than Jaipur Long. Moreover, the immature development (from egg to adult emergence) was different among cultivars, which was the longest on Abhiskar followed by Debsundari and the shortest on Jaipur Long. The preadult duration was 1.29 times longer on Abhiskar than Jaipur Long. The longevities of adult males and females were the longest on Jaipur Long, intermediate on Debsundari and the shortest on Abhiskar. Adult females lived 1.63 times longer on Jaipur Long compared to Abhiskar, while males survived 1.58 times longer on Jaipur Long in comparison to Abhiskar. The proportion of female adults were significantly highest on Jaipur Long (Nf /N = 35%) followed by Debsundari (Nf /N = 24%) and the lowest on Abhiskar (Nf /N = 15%).

Table 1. Development time and adult longevity (Mean ± SE) of Aulacophora lewisii on three Luffa acutangula cultivars

Standard errors were estimated using 100,000 bootstrap resampling. Data followed by different lower-case letter within the row were significantly different based on a paired bootstrap test at 5% level of significance.

Different morphological features of A. lewisii fed on three L. acutangula cultivars (Abhiskar, Debsundari, and Jaipur Long) are shown in table 2. The length and breadth of eggs, and first two instars of A. lewisii were the highest on Jaipur Long and the shortest on Abhiskar. The length and breadth of eggs were 1.23 and 1.45 times greater, respectively, on Jaipur Long than Abhiskar. The length of third instar was the shortest on Abhiskar than the other two cultivars, but the breadth was the highest on Jaipur Long followed by Debsundari and the shortest on Abhiskar. The length and breadth of fourth instar were the highest on Jaipur Long, intermediate on Debsundari and the shortest on Abhiskar. The length of first, second, third, and fourth instars were 1.07, 1.11, 1.08, and 1.05 times longer, respectively, on Jaipur Long compared to Abhiskar; whereas the breadth of first, second, third, and fourth instars were 1.26, 1.18, 1.19, and 1.23 times greater on Jaipur Long compared to Abhiskar. The data on head capsule width from first to fourth instars of A. lewisii fed on three L. acutangula cultivars (Abhiskar, Debsundari, and Jaipur Long) are presented in Supplementary table 1. The head capsule width of first, second, third, and fourth instars were 1.19, 1.10, 1.09, and 1.09 times greater, respectively, on Jaipur Long compared to Abhiskar. The length and breadth of pupa, and newly emerged adults (male and female) were the longest on Jaipur Long followed by Debsundari and the shortest on Abhiskar (table 2). The length and breadth of pupa were 1.07 and 1.12 times greater, respectively, on Jaipur Long than Abhiskar. The length and breadth of newly emerged female were 1.19 and 1.18 times greater, respectively, on Jaipur Long compared to Abhiskar; whereas the length and breadth of newly emerged male were 1.19 and 1.27 times greater, respectively, on Jaipur Long compared to Abhiskar. Newly emerged females were longer than males when A. lewisii were fed on three L. acutangula cultivars. Average fresh weight of newly emerged adults were the highest on Jaipur Long (16.16 ± 0.28 mg adult−1) followed by Debsundari (14.25 ± 0.27 mg adult−1) and the lowest on Abhiskar (12.29 ± 0.25 mg adult−1) (F 2,27 = 52.179, P < 0.0001).

Table 2. Morphological features of Aulacophora lewisii (n = 10, mean (mm) ± SE) fed on three Luffa acutangula cultivars under laboratory conditions (27 ± 1°C, 65 ± 5% r.h. and 12L:12D)

Means followed by different letters for length or breadth of A. lewisii within the rows are significantly different by Tukey's test at 5% level of significance.

a Newly emerged.

Three L. acutangula cultivars significantly influenced APOP, TPOP, oviposition days and fecundity of adult A. lewisii (table 3). The APOP and TPOP were the highest on Abhiskar followed by Debsundari and the lowest on Jaipur Long. The oviposition days were the longest on Jaipur Long, intermediate on Debsundari and the shortest on Abhiskar. The highest fecundity was recorded for females fed on Jaipur Long followed by Debsundari and the lowest on Abhiskar.

Table 3. Fecundity parameters (Mean ± SE) of Aulacophora lewisii emerging from larvae reared on three Luffa acutangula cultivars

Standard errors were estimated using 100,000 bootstrap resampling. A paired bootstrap test was used to detect differences between treatments. The sample size (n) is the number of individuals included in the calculation of the respective statistics.

Figure 1 displays age-stage specific survival rates (sxj), which shows the rate of individuals surviving to age x and stage j. The sxj curves varied prominently on three L. acutangula cultivars and overlaps were observed in the sxj curves, which revealed the variable development rates among individuals. The female curves emerged at age 37, 33, and 27 days on Abhiskar, Debsundari, and Jaipur Long, respectively; whereas male curves emerged at age 36, 33, and 27 days on Abhiskar, Debsundari, and Jaipur Long, respectively (fig. 1a, b and c), suggesting development of A. lewisii was delayed on Abhiskar.

Figure 1. Age-stage specific survival value (sxj) of Aulacophora lewisii fed on three Luffa acutangula cultivars.

The curves of age-stage specific fecundity (fxj) demonstrated variation in the egg laying performance of A. lewisii on three L. acutangula cultivars (fig. 2). The fxj and age-specific fecundity (mx) on Abhiskar, Debsundari, and Jaipur Long started at 46, 38, and 32 days, respectively (fig. 2a, b and c). The females started to oviposit on 46 days and continued up to 81 days on Abhiskar, while females started to oviposit on 38 days and ended at 89 days on Debsundari but females began to oviposit on 32 days and ended on 87 days on Jaipur Long. The highest fxj and mx peaks of A. lewisii on Abhiskar were 66, 59, and 44 days on Abhiskar, Debsundari, and Jaipur Long, respectively (fig. 2a, b and c). We recorded the highest age-specific maternity (lxmx) on 53, 59, and 44 days on Abhiskar, Debsundari, and Jaipur Long, respectively (fig. 2a, b and c). The fxj, mx and lxmx were lower on Abhiskar compared to other two cultivars, suggesting that a diet of two cultivars (Debsundari and Jaipur Long) were more conducive to the development and reproduction of A. lewisii.

Figure 2. Age-specific survival rate (lx), age-stage specific fecundity (fxj), age-specific fecundity (mx) and age-stage specific maternity (lxmx) of Aulacophora lewisii fed on three Luffa acutangula cultivars.

The age-stage specific life expectancy (exj) is the probability that an individual of age x and stage j is expected to live. The value of exj showed a downward trend on three L. acutangula cultivars, with maximum average longevity values at age zero (e 01) were 43.98, 45.35, and 57.16 days on Abhiskar, Debsundari, and Jaipur Long, respectively (fig. 3). The maximum life expectancies of female and male A. lewisii on Abhiskar were 83 and 86 days, respectively (fig. 3a). The maximum life expectancies of female and male on Debsundari were 93 and 85 days, respectively (fig. 3b), while the maximum life expectancies of female and male were 99 and 94 days, respectively, when fed with Jaipur Long (fig. 3c). The values of exj was the lowest on Abhiskar followed by Debsundari and the highest on Jaipur Long, suggesting A. lewisii developed more slowly on Abhiskar.

Figure 3. Age-stage specific life expectancy (exj) of Aulacophora lewisii fed on three Luffa acutangula cultivars.

The age-stage reproductive value (vxj) represents the contribution of age x and stage j to the future population. The reproductive value of a new born individual (v 01), finite rate of increase, on Abhiskar, Debsundari, and Jaipur Long were 1.052, 1.067, and 1.091 day−1, respectively (Supplementary fig. 1a, b, and c), which are close to λ. Females began to emerge at age 37, 33, and 27 days on Abhiskar, Debsundari, and Jaipur Long, respectively, and subsequently, reached its peak values to 85.07, 91.58, and 97.47 day−1 at 52, 54, and 44 days on Abhiskar, Debsundari, and Jaipur Long, respectively, indicating Abhiskar is less suitable cultivar for reproduction of A. lewisii. The reproductive values were zero at age 82, 90, and 89 days on Abhiskar, Debsundari, and Jaipur Long, respectively, as the aged adults did not produce eggs.

The population growth parameters of A. lewisii reared on three L. acutangula cultivars are shown in table 4. The insect population reared on Jaipur Long had the highest net reproductive rate (R 0 value) and those reared on Abhiskar had the lowest R 0 value (table 4). The value of intrinsic rate of increase (r) was the highest when A. lewisii was reared on Jaipur Long followed by Debsundari. The lowest r resulted from rearing the A. lewisii on Abhiskar (table 4). The variations in finite rate of increase (λ) were similar to the intrinsic rate of increase. The mean generation time (T) was also different among the tested three L. acutangula cultivars with the cultivar Jaipur Long promoting the fastest generation times followed by Debsundari and the longest generation times on Abhiskar. The value of gross reproductive rate (GRR) was the highest on Jaipur Long followed by Debsundari and the shortest on Abhiskar (table 4).

Table 4. Mean (± SE) of intrinsic rate of increase (r), finite rate of increase (λ), net reproductive rate (R 0: offspring/individual), mean generation time (T) and gross reproductive rate (GRR, number of offsprings) of Aulacophora lewisii reared on three Luffa acutangula cultivars

Standard errors were estimated using 100,000 bootstrap resampling. A paired bootstrap test was used to detect differences between treatments. The sample size (n) is the number of couples included in the calculation of the respective statistics.

Population projection

The stage structures of A. lewisii are projected with an initial population of 10 eggs using the TIMING-MSChart program (Supplementary fig. 2). After 120 days of simulation, the population growth was the highest on Jaipur Long followed by Debsundari and the slowest on Abhiskar. There are 36,641 preadults and 2245 adults (1287 females and 958 males) on Jaipur Long, while the numbers of preadults on Debsundari were 6025 and adults were 193 (88 females and 105 males). The numbers of preadults on Abhiskar were 1646 and adults were 95 (36 females and 59 males).

Enzymatic activity of larvae

Amylolytic activity in the fourth instars of A. lewisii was the highest in larvae when fed on Jaipur Long (0.45 ± 0.01 mg maltose min−1) followed by Debsundari (0.32 ± 0.01 mg maltose min−1) and the lowest on Abhiskar (0.22 ± 0.01 mg maltose min−1) (F 2,12 = 87.540, P < 0.0001) (fig. 4). Proteolytic activity in the fourth instars of A. lewisii was the highest in larvae fed with Jaipur Long (0.91 ± 0.04 mU min−1) followed by Debsundari (0.74 ± 0.03 mU min−1) and the lowest on Abhiskar (0.50 ± 0.02 mU min−1) (F 2,12 = 52.059, P < 0.0001) (fig. 5). Lipolytic activity in the fourth instars of A. lewisii was the highest in larvae fed with Jaipur Long (0.0413 ± 0.001 mU min−1) followed by Debsundari (0.0324 ± 0.001 mU min−1) and the lowest on Abhiskar (0.0257 ± 0.001 mU min−1) (F 2,12 = 34.362, P < 0.0001) (fig. 6).

Figure 4. Amylolytic activity of fourth instars and adults of Aulacophora lewisii (n = 5) fed on roots and leaves of three Luffa acutangula cultivars, respectively. Means followed by different letters for amylolytic activities of either larvae or adults are significantly different by Tukey's test at 5% level of significance.

Figure 5. Proteolytic activity of fourth instars and adults of Aulacophora lewisii (n = 5) fed on roots and leaves of three Luffa acutangula cultivars, respectively. Means followed by different letters for proteolytic activities of either larvae or adults are significantly different by Tukey's test at 5% level of significance.

Figure 6. Lipolytic activity of fourth instars and adults of Aulacophora lewisii (n = 5) fed on roots and leaves of three Luffa acutangula cultivars, respectively. Means followed by different letters for lipolytic activity of either larvae or adults are significantly different by Tukey's test at 5% level of significance.

Enzymatic activity of adults

The amylolytic activity of A. lewisii adults was recorded greatest when fed on Jaipur Long (0.80 ± 0.03 mg maltose min−1) followed by Debsundari (0.66 ± 0.02 mg maltose min−1), while the lowest enzymatic activity was observed when the adults were fed on Abhiskar (0.53 ± 0.04 mg maltose min−1) (F 2,12 = 19.292, P < 0.0001) (fig. 4). The highest proteolytic activity was observed in homogenates of A. lewisii adults when fed with Jaipur Long (1.31 ± 0.12 mU min−1) followed by Debsundari (0.84 ± 0.03 mU min−1), while the lowest value of proteolytic activity was recorded on Abhiskar (0.59 ± 0.02 mU min−1) (F 2,12 = 26.031, P < 0.0001) (fig. 5). Adults fed on Jaipur Long (0.200 ± 0.008 mU min−1) showed the highest lipolytic activity followed by Debsundari (0.138 ± 0.007 mU min−1) and the lowest on Abhiskar (0.087 ± 0.007 mU min−1) (F 2,12 = 58.551, P < 0.0001) (fig. 6).

Biochemical properties of roots and leaves

Total carbohydrates, proteins, lipids and amino acids were the highest in the roots and leaves of Jaipur Long, intermediate in Debsundari and the lowest in Abhiskar (table 5). The nitrogen content was the highest in the roots and leaves of Jaipur Long, and the lowest in Abhiskar (table 5). Total phenols, flavonols, and tannins were the highest in the roots and leaves of Abhiskar, intermediate in Debsundari and the lowest in Jaipur Long (table 5). The highest and lowest water content was recorded in the roots and leaves of Jaipur Long and Abhiskar, respectively (table 5).

Table 5. Biochemical analyses (Mean ± SE) of the roots and leaves of three Luffa acutangula cultivars

Means followed by different letters within the rows are significantly different by Tukey's test at 5% level of significance.

a DW, Dry weight.

b FW, Fresh weight.

Correlation analysis

Duration of immature stages of A. lewisii fed with the roots of three L. acutangula cultivars displayed negative correlations with nutrients (total carbohydrates, proteins, lipids, amino acids, and nitrogen) and moisture content, while positive correlations were observed with antinutrinets (total phenols, flavonols, and tannins) (Supplementary table 2). Longevity of males and females including fecundity showed positive correlations with nutrients (total carbohydrates, proteins, lipids, nitrogen, and amino acids) as well as moisture content, while negative correlations were observed with antinutrients (total phenols, flavonols, and tannins) (table 6). Positive correlations were observed for GRR, r, λ, and R 0 with nutrients (total carbohydrates, proteins, lipids, nitrogen, and amino acids) and moisture content, while negative correlations were observed with antinutrients (total phenols, flavonols, and tannins) (table 6). The T was negatively and positively correlated with nutrients (total carbohydrates, proteins, lipids, nitrogen, and amino acids) and antinutrients (total phenols, flavonols, and tannins), respectively (table 6). Proteolytic, amylolytic, and lypolytic activities of adults or larvae were positively correlated with nutrients (total carbohydrates, proteins, lipids, nitrogen, and amino acids) and moisture content, while negative correlations were observed with antinutrients (total phenols, flavonols, and tannins) (table 6, Supplementary table 2).

Table 6. Correlation coefficients (r) of the life table parameters of adults of Aulacophora lewisii reared on the leaves of three Luffa acutangula cultivars with the nutrients, moisture content and antinutrients

Discussion

Age-stage, two-sex life table is a helpful tool to measure the effect of external factors such as effect of different host plants including various cultivars of a host plant on the growth and development including reproduction of an insect population (Debnath et al., Reference Debnath, Mobarak, Mitra and Barik2020; Mobarak et al., Reference Mobarak, Roy and Barik2020). It presents an amalgamated and extensive depiction of an insect population's development, survival and reproduction, thus we may get an accurate estimation of the growth rate of an insect pest population. It is well established that the performance of an insect pest is influenced by host plants, be it different cultivars of the same plant and can enlighten the development of eco-friendly pest management strategies. The quality of host plants serves an important role in the growth, development and reproduction of an insect, which reflects the appropriateness of a particular host plant for the sustenance of an insect's life cycle. To date, no reports are in record on A. lewisii using age-stage, two-sex life table, and further, the biology of A. lewisii on L. acutangula is reported for the first time. In the current study, the longest preadult duration (egg to adult emergence) was recorded on Abhiskar (40.91 days) followed by Debsundari (36.94 days) and the shortest on Jaipur Long (31.80 days), while females of A. lewisii adults lived the longest on Jaipur Long (57.63 days) followed by Debsundari (43.36 days) and the shortest on Abhiskar (35.35 days). These observations suggest that the variation in the nutritional quality of the roots and leaves of three L. acutangula cultivars influenced the development of larvae and adults of A. lewisii, respectively. Moreover, this study suggests that roots and leaves of Abhiskar is of poor nutritional quality for the development of A. lewisii than the other two cultivars because larval development was longer and longevity of adults was shorter on Abhiskar.

In this study, the fecundity of A. lewisii was the highest on Jaipur Long (279.91 eggs), intermediate on Debsundari (195.62 eggs) and the lowest on Abhiskar (137.18 eggs), suggesting variations in fecundity among different cultivars of a host plant are due to differences in quality and quantity of food consumed by the larvae and adults of A. lewisii (Awmack and Leather, Reference Awmack and Leather2002). We observed a negative correlation between the fecundity of A. lewisii and antinutrients of three L. acutangula cultivars, suggesting antinutrients (total phenols, flavonols and tannins) of roots and leaves played an inhibitory role which influenced the negative impact of egg laying performance of A. lewisii. Similarly, a negative correlation was observed between fecundity of Galerucella placida Baly (Coleoptera: Chrysomelidae) and antinutrients of leaves of Rumex dentatus L. and Polygonum glabrum Willd. (Koner et al., Reference Koner, Debnath and Barik2019). The lowest fecundity of A. lewisii on Abhiskar suggested that higher amounts of antinutrients in Abhiskar than the other two L. acutangula cultivars results the lower egg laying performance of A. lewisii on Abhiskar.

The intrinsic rate of increase (r) is the most important population growth parameter, which can be used to evaluate plant resistance to insect pests (Carey, Reference Carey1993). In this investigation, the highest r of A. lewisii was observed on Jaipur Long, which is due to quicker larval developmental time, and high immature survival and fecundity as compared with other two L. acutangula cultivars. At the same time, lower r, R 0, and λ, and higher T values on Abhiskar can be attributed to the longer development time, poorer immature survival and lower fecundity of A. lewisii on this cultivar (Debnath et al., Reference Debnath, Mobarak, Mitra and Barik2020; Mobarak et al., Reference Mobarak, Roy and Barik2020; Mitra et al., Reference Mitra, Mobarak and Barik2021). According to the correlation analysis, there were a negative correlation between total phenols, flavonols, and tannins of tested L. acutangula cultivars and r, R 0, λ values of A. lewisii that supported the role of the root and leaf antinutrients as inhibiting factor for increase of the insect population. Phenols serve as defensive agents against feeding by herbivores, while tannins reduce the digestibility of substances (Harborne, Reference Harborne2003) and flavonols help to protect plants from insect attack by influencing their behaviour, and growth and development (Treutter, Reference Treutter2006; War et al., Reference War, Paulraj, Ahmad, Buhroo, Hussain, Ignacimuthu and Sharma2012). Here, phenols, flavonols, and tannins were higher in Abhiskar than other two L. acutangula cultivars, suggesting higher amounts of these antinutrients resulted longer development time, lower immature survival and lower fecundity of A. lewisii which caused lower increase of the insect population on Abhiskar. The GRR indicates rapid increase in the insect population, which depends on the fecundity and adult emergence percentage (Mobarak et al., Reference Mobarak, Debnath, Koner and Barik2022). Here, GRR showed positive correlations with the nutrients and negative correlations with antinutrients, suggesting GRR is dependent on nutrients and antinutrients of the food source. The present study achieved the lowest GRR when A. lewisii were fed on Abhiskar than other cultivars, implicating lower nutrients and higher antinutrients in Abhiskar resulted the lowest GRR on Abhiskar. This study revealed that T of A. lewisii fed with three L. acutangula cultivars were positively correlated with the antinutrients of roots and leaves (total phenols, flavonols, and tannins), suggesting the antinutrients of roots and leaves influenced prolonged generation time of A. lewisii (Koner et al., Reference Koner, Debnath and Barik2019). In the current investigation, T was the highest on Abhiskar than other L. acutangula cultivars, suggesting lower nutrients and higher antinutrients in Abhiskar influenced higher generation time (Mitra et al., Reference Mitra, Mobarak and Barik2021). The above results suggested that Abhiskar is the least suitable cultivar for the development and reproduction of A. lewisii due to lower amount of nutrients and higher amount of antinutrients.

Plant-insect interactions are the consequential of quality and quantity of nutrients and antinutrients which are consumed by the insect herbivore (Cates, Reference Cates1980). Primary metabolites (carbohydrates, proteins, and lipids) of the host plant influence survival and development of an insect herbivore (Harborne, Reference Harborne2003). In the current research, total carbohydrates, proteins, lipids, amino acids and nitrogen content showed a significant negative correlation with larval development period, suggesting higher amounts of these compounds cause better survival and development of A. lewisii resulting increased susceptibility to host plant. Here, the biochemical properties of leaves of three L. acutangula cultivars demonstrated that Abhiskar is of poor nutritional quality than Jaipur Long and Debsundari because nutrients such as total carbohydrates, proteins, lipids, amino acids, and nitrogen content were the lowest in Abhiskar than the other two cultivars, suggesting survival, growth, and development of A. lewisii will be lower on Abhiskar. The suboptimal ratio between carbohydrates and proteins reduces the insect growth and development (Simpson and Raubenheimer, Reference Simpson and Raubenheimer2009; Roeder and Behmer, Reference Roeder and Behmer2014). This could be another explanation for lower growth and development of A. lewisii feeding on Abhiskar than Jaipur Long and Debsundari. Low water content in the leaves of host plants reduces survivability of insect herbivores. The lowest water content in the roots and leaves of Abhiskar than Jaipur Long and Debsundari could be another explanation for lower survivability of A. lewisii on Abhiskar (Mattson and Scriber, Reference Mattson, Scriber, Slansky and Rodriguez1987; Roy and Barik, Reference Roy and Barik2012, Reference Roy and Barik2013; Mobarak et al., Reference Mobarak, Roy and Barik2020).

Insects exploit optimal levels of carbohydrates, proteins, and lipids in their diets for their efficient growth, development, survival, and reproduction (Awmack and Leather, Reference Awmack and Leather2002). These primary metabolites should be properly digested by the appropriate enzymes for ingestion and assimilation into body tissues (Awmack and Leather, Reference Awmack and Leather2002). α-Amylase is the major hydrolysing enzyme of carbohydrates while proteases breaks down proteins into amino acids in addition inactivation of toxic proteins ingested during feeding. Lipases hydrolase intracellular triglyceride into diacylglyceride as digested component or energy demands (Terra and Ferreira, Reference Terra, Ferreira, Lawrence, Kostas and Sarjeet2005). Therefore, host plant cultivars in terms of nutritional quality play an important role in the growth, reproductive performance and population dynamics of an insect herbivore (Awmack and Leather, Reference Awmack and Leather2002; Malik et al., Reference Malik, Das and Barik2018; Mason et al., Reference Mason, Ray, Davidson-Lowe, Ali, Luthe and Felton2022). The midgut amylolytic, proteolytic, and lipolytic activities of larvae and adults of A. lewisii fed with three L. acutangula cultivars were positively correlated with nutrients, suggesting the nutritional quality of roots and leaves played an important role in the synthesis and secretion of enzymes as well as digestion of consumed foods by the larvae and adults of A. lewsii. The amylolytic, proteolytic, and lipolytic activities of the larvae and adults of A. lewisii were the highest on Jaipur Long and the lowest on Abhiskar, implicating larvae and adults of A. lewisii had a high ability to utilise the roots and leaves of Jaipur Long, respectively, than the roots and leaves of Abhiskar. This observation suggested that digestive performance of insects fed with Abhiskar would lead to lower survival and reduced biological fitness (Mardani-Talaee et al., Reference Mardani-Talaee, Zibaee, Nouri-Ganbalani, Rahimi and Tajmiri2015). The poor performance of A. lewisii on Abhiskar is due to presence of enzyme inhibitors, which inhibits uptake of nutrients by A. lewisii and subsequently, growth, development and fecundity of A. lewisii are affected.

Based on the current findings, it can be concluded that Jaipur Long and Debsundari are susceptible cultivars than Abhiskar to A. lewisii based on the results of population parameters and activities of key digestive enzymes. The prolonged larval development time and lowest fecundity of A. lewisii resulted lower intrinsic rate of increase and net reproductive rate of A. lewisii on Abhiskar, suggesting the lower population growth of A. lewisii could result lower subsequent infestations. Therefore, the use of partially resistant Abhiskar cultivar is a way to reduce A. lewisii infestation. However, the understandings of differences in food quality, presence of secondary components and possible inhibitors from a wider range of L. acutangula cultivars are necessary to design the stable planting systems which could lead to lower infestations caused by A. lewisii on L. acutangula.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0007485323000688.

Acknowledgements

We are thankful to anonymous reviewers for their helpful suggestions on an earlier version of the manuscript. We thank Dr K. D. Prathapan, Professor, Department of Zoology, Kerala Agricultural University for identifying the insect. We also thank DST PURSE Phase-II for providing the necessary instrumental facilities.

Author's contributions

A. B. designed experiments. S. D. and S. K. performed experiments. S. D. and R. D. analysed data. S. D. made the Figs. A. B. wrote the manuscript. All authors edited the manuscript and approved the final version of the manuscript.

Financial support

The financial assistance from the Govt. of West Bengal as Swami Vivekananda Merit-cum-Means Scholarship (SVMCM) to Susmita Das is gratefully acknowledged.

Competing interests

None.

References

Abe, M and Matsuda, K (2005) Chemical factors influencing the feeding preference of three Aulacophora leaf beetle species (Coleoptera: Chrysomelidae). Applied Entomology and Zoology 40, 161168.CrossRefGoogle Scholar
Abe, M, Matsuda, K and Tamaki, Y (2000) Differences in feeding response among three cucurbitaceous feeding leaf beetles to cucurbitacins. Applied Entomology and Zoology 35, 137142.CrossRefGoogle Scholar
Ahmad, W, Naeem, M and Bodlah, I (2013) Genus Aulacophora Chevrolat, 1836 (Coleoptera: Chrysomelidae) from Pothohar, Punjab, Pakistan. Pakistan Journal of Zoology 45, 868871.Google Scholar
Al-Snafi, AE (2019) A review on Luffa acutangula: a potential medicinal plant. IOSR Journal of Pharmacy 9, 5667.Google Scholar
Ananthalakshmi, R, Rathinam, SRXR and Sadiq, AM (2021) Evaluation of anti-inflammatory and ant-arthritic activity of Luffa acutangula peel extract mediated ZnO nanoparticle. Research Journal of Pharmacy and Technology 14, 20042008.CrossRefGoogle Scholar
Awmack, CS and Leather, SR (2002) Host plant quality and fecundity in herbivorous insects. Annual Review of Entomology 47, 817844.CrossRefGoogle ScholarPubMed
Belemkar, S, Sharma, M, Ghode, P and Shendge, PN (2021) Bioactive compounds of ridge gourd (Luffa acutangula (L.) Roxb.). In Murthy, HN and Paek, KY (eds), Bioactive Compounds in Underutilized Vegetables and Legumes. Reference Series in Phytochemistry. Cham: Springer, pp. 403415. https://doi.org/10.1007/978-3-030-57415-4_22.CrossRefGoogle Scholar
Bernfeld, P (1955) Amylase α and β. Methods in Enzymology 1, 149158.CrossRefGoogle Scholar
Bray, HG and Thorpe, WV (1954) Analysis of phenolic compounds of interest in metabolism. Methods of Biochemical Analysis 1, 2752.CrossRefGoogle ScholarPubMed
Bulbul, IJ, Zulfiker, AHM, Hamid, K, Khatun, MH and Begum, Y (2011) Comparative study of in vitro antioxidant, antibacterial and cytotoxic activity of two Bangladeshi medicinal plants-Luffa cylindrica L. and Luffa acutangula. Pharmacognosy Journal 3, 5966.CrossRefGoogle Scholar
Carey, JR (1993) Applied Demography for Biologists with Special Emphasis on Insects. New York: Oxford University Press Inc.CrossRefGoogle Scholar
Cates, RG (1980) Feeding patterns of monophagous, oligophagous, and polyphagous insect herbivores: the effect of resource abundance and plant chemistry. Oecologia 46, 2231.CrossRefGoogle ScholarPubMed
Chi, H (1988) Life-table analysis incorporating both sexes and variable development rates among individuals. Environmental Entomology 17, 2634.CrossRefGoogle Scholar
Chi, H (1990) Timing of control based on the stage structure of pest populations: a simulation approach. Journal of Economic Entomology 83, 11431150.CrossRefGoogle Scholar
Chi, H (2022 a) TWOSEX-MSChart: A Computer Program for Age Stage, Two-Sex Life Table Analysis. Taichung, Taiwan: National Chung Hsing University. Available at http://140.120.197.173/Ecology/Download/TwosexMSChart.zip (accessed 9 January 2022).Google Scholar
Chi, H (2022 b) TIMING-MSChart: A Computer Program for Population Projection Based on Age-Stage, Two-Sex Life Table. Taichung, Taiwan: National Chung Hsing University. Available at http://140.120.197.173/Ecology/Download/Timing-MSChart.rar (accessed 9 January 2022).Google Scholar
Chi, H and Liu, H (1985) Two new methods for the study of insect population ecology. Bulletin of the Institute of Zoology, Academia Sinica 24, 225240.Google Scholar
Chi, H and Su, H-Y (2006) Age-stage, two-sex life tables of Aphidius gifuensis (Ashmead) (Hymenoptera: Braconidae) and its host Myzus persicae (Sulzer) (Homoptera: Aphididae) with mathematical proof of the relationship between female fecundity and the net reproductive rate. Environmental Entomology 35, 1021.CrossRefGoogle Scholar
Chi, H, You, M, Atlıhan, R, Smith, CL, Kavousi, A, Özgökçe, MS, Güncan, A, Tuan, SJ, Fu, JW, Xu, YY, Zheng, FQ, Ye, BH, Chu, D, Yu, Y, Gharekhani, G, Saska, P, Gotoh, T, Schneider, MI, Bussaman, P, Gökçe, A and Liu, TX (2020) Age-stage, two-sex life table: an introduction to theory, data analysis, and application. Entomologia Generalis 40, 103124.CrossRefGoogle Scholar
Choi, S-J, Hwang, JM and Kim, S II (2003) A colorimetric microplate assay method for high throughput analysis of lipase activity. Journal of Biochemistry and Molecular Biology 36, 417420.Google ScholarPubMed
Čolović, MB, Krstić, DZ, Lazarević-Pašti, TD, Bondžić, AM and Vasić, VM (2013) Acetylcholinesterase inhibitors: pharmacology and toxicology. Current Neuropharmacology 11, 315335.CrossRefGoogle ScholarPubMed
Dandge, VS, Rothe, SP and Pethe, AS (2012) Antimicrobial activity and pharmacognostic study of Luffa acutangula (L) Roxb var amara on some deuteromycetes fungi. International Journal of Science Innovations and Discoveries 2, 191196.Google Scholar
Das, S, Koner, A and Barik, A (2019) Biology and life history of Lema praeusta (Fab.) (Coleoptera: Chrysomelidae), a biocontrol agent of two Commelinaceae weeds, Commelina benghalensis and Murdannia nudiflora. Bulletin of Entomological Research 109, 463471.CrossRefGoogle ScholarPubMed
Dashora, N and Chauhan, LS (2015) In vitro antioxidant and in vivo anti-tumor activity of Luffa acutangula against Dalton's Lymphoma Ascites (DLA) cells bearing mice. Journal of Chemical and Pharmaceutical Research 7, 940945.Google Scholar
Debnath, R, Mobarak, SH, Mitra, P and Barik, A (2020) Comparative performance and digestive physiology of Diaphania indica (Lepidoptera: Crambidae) on Trichosanthes anguina (Cucurbitaceae) cultivars. Bulletin of Entomological Research 110, 756766.CrossRefGoogle ScholarPubMed
Dilipsundar, N, Chitra, N, Balasubramani, V, Arulprakash, R and Kumaraperumal, R (2022) Molecular validation of Aulacophora species complex within the geographical limits of Tamil Nadu. Journal of Current Crop Science and Technology 109, 110.Google Scholar
Dubois, M, Gilles, KA, Hamilton, JK, Rebers, PA and Smith, F (1956) Colorimetric method for determination of sugars and related substances. Analytical Chemistry 28, 350356.CrossRefGoogle Scholar
Efron, B and Tibshirani, RJ (1993) An Introduction to the Bootstrap. New York: Chapman & Hall.CrossRefGoogle Scholar
Elpidina, EN, Vinokurov, KS, Gromenko, VA, Rudenskaya, YA, Dunaevsky, YE and Zhuzhikov, DP (2001) Compartmentalization of proteinases and amylases in Nauphoeta cinerea midgut. Archives of Insect Biochemistry and Physiology 48, 206216.CrossRefGoogle ScholarPubMed
Folch, J, Lees, M and Stanley, GHS (1957) A simple method for the isolation and purification of total lipids from animal tissues. Journal of Biological Chemistry 226, 497509.CrossRefGoogle ScholarPubMed
Golizadeh, A, Ghavidel, S, Razmjou, J, Fathi, SAA and Hassanpour, M (2017 a) Comparative life table analysis of Tetranychus urticae Koch (Acari: Tetranychidae) on ten rose cultivars. Acarologia 57, 607616.CrossRefGoogle Scholar
Golizadeh, A, Jafari-Behi, V, Razmjou, J, Naseri, B and Hassanpour, M (2017 b) Population growth parameters of rose aphid, Macrosiphum rosae (Hemiptera: Aphididae) on different rose cultivars. Neotropical Entomology 46, 100106.CrossRefGoogle ScholarPubMed
Harborne, JB (2003) Introduction to Ecological Biochemistry. New York: Elsevier Academic Press.Google Scholar
Howell, CR, Bell, AA and Stipanovic, RD (1976) Effect of aging on flavonoid content and resistance of cotton leaves to Verticillium wilt. Physiological Plant Pathology 8, 181188.CrossRefGoogle Scholar
Iyyamperumal, U, Mohanavelua, N, Pitchaimuthu, S, Rahab, S, Periyannanc, M and Ilavarasand, R (2013) Anti-inflammatory and in vitro antioxidant potential of extracts leaves of Luffa acutangula (var) amara in rodent model (rats). International Journal of Pharmacy and Pharmaceutical Science 5, 7983.Google Scholar
Jayaraj, R, Megha, P and Sreedev, P (2016) Organochlorine pesticides, their toxic effects on living organisms and their fate in the environment. Interdisciplinary Toxicology 9, 90100.CrossRefGoogle ScholarPubMed
Juma, A, Pervin, MR, Azad, MSA, Islam, MR, Rahman, SM, Kabir, MZ, Taznin, I, Bashar, ABMA and Rahmatullah, M (2013) Antihyperglycemic and antinociceptive activity of methanolic extract of Luffa acutangula fruits. Advances in Natural and Applied Sciences 7, 435441.Google Scholar
Kalasakar, MG and Surana, SJ (2014) Free radical scavenging, immunomodulatory activity and chemical composition of Luffa acutangula Var. amara (Cucurbitaceae) pericarp. Journal of the Chilean Chemical Society 59, 22992302.Google Scholar
Koner, A, Debnath, R and Barik, A (2019) Age-stage, two-sex life table and food utilization efficiencies of Galerucella placida Baly (Coleoptera: Chrysomelidae) on two Polygonaceae weeds. Journal of Asia-Pacific Entomology 22, 11361144.CrossRefGoogle Scholar
Kumari, SASM, Nakandala, NDUS, Nawanjana, PWI, Rathnayake, RMSK, Senavirathna, HMTN, Senevirathna, RWKM, Wijesundara, WMDA, Ranaweera, LT, Mannanayake, MADK, Weebadde, CK and Sooriyapathirana, SDSS (2019) The establishment of the species-delimits and varietal identities of the cultivated germplasm of Luffa acutangula and Luffa aegyptiaca in Sri Lanka using morphometric, organoleptic and phylogenetic approaches. PLoS One 14, e0215176.CrossRefGoogle ScholarPubMed
Lee, C-F and Beenen, R (2015) Revision of the genus Aulacophora from Taiwan (Coleoptera: Chrysomelidae: Galerucinae). Zootaxa 3949, 151190.CrossRefGoogle Scholar
Lewis, PA and Metcalf, RL (1996) Behavior and ecology of old world Luperini beetles of the genus Aulacophora (Coleoptera: Chrysomelidae). Chemoecology 7, 150155.CrossRefGoogle Scholar
LiYun, R, KeJian, H, AiZhi, Q, YongAn, G, ZhiWen, P, KeJian, M and YuSheng, L (2009) Effect of ingredients and physics structure of towel gourd leaves on feeding and orientation of Aulacophora lewisii. Genomics and Applied Biology 28, 934940.Google Scholar
Lowry, OH, Rosebrough, NJ, Farr, AL and Randall, RJ (1951) Protein measurement with the folin phenol reagent. Journal of Biological Chemistry 193, 265275.CrossRefGoogle ScholarPubMed
Malik, U, Das, S and Barik, A (2018) Biology of Galerucella placida Baly (Coleoptera: Chrysomelidae) on the rice-field weed Polygonum orientale L. (Polygonaceae). Proceedings of the Zoological Society 71, 257264.CrossRefGoogle Scholar
Mardani-Talaee, M, Zibaee, A, Nouri-Ganbalani, G, Rahimi, V and Tajmiri, P (2015) Effects of potato cultivars on some physiological processes of Leptinotarsa decemlineata (Coleoptera: Chrysomelidae). Journal of Economic Entomology 108, 23732382.CrossRefGoogle ScholarPubMed
Mason, CJ, Ray, S, Davidson-Lowe, E, Ali, J, Luthe, DS and Felton, G (2022) Plant nutrition influences resistant maize defense responses to the fall armyworm (Spodoptera frugiperda). Frontiers in Ecology and Evolution 10, 844274.CrossRefGoogle Scholar
Mattson, WJ and Scriber, JM (1987) Nutritional ecology of insect folivores of woody plants: nitrogen, water, fiber and mineral considerations. In Slansky, F Jr. and Rodriguez, JG (eds), Nutritional Ecology of Insects, Mites, Spiders & Related Invertebrates. New York: Wiley, pp. 105146.Google Scholar
Misar, AV, Upadhye, AS and Mujumdar, AM (2004) CNS depressant activity of ethanol extract of Luffa acutangula Var. amara C.B. Clarke. fruits in mice. Indian Journal of Pharmaceutical Sciences 66, 463465.Google Scholar
Mitra, S, Mobarak, SH and Barik, A (2021) Age-stage, two-sex life table of the biocontrol agent, Altica cyanea on three Ludwigia species. Biologia 76, 101112.CrossRefGoogle Scholar
Mitra, P, Debnath, R, Mitra, S and Barik, A (2022) Life history traits and probing behavior of Aphis craccivora (Hemiptera: Aphididae) on Lathyrus sativus. Biologia 77, 34853499.CrossRefGoogle Scholar
Mobarak, SH, Roy, N and Barik, A (2020) Two-sex life table and feeding dynamics of Spilosoma obliqua Walker (Lepidoptera: Arctiidae) on three green gram cultivars. Bulletin of Entomological Research 110, 219230.CrossRefGoogle ScholarPubMed
Mobarak, SH, Debnath, R, Koner, A and Barik, A (2022) Effect of temperature for mass rearing of Spilosoma obliqua on an artificial diet using age-stage, two-sex life table approach. Biologia 77, 13271335.CrossRefGoogle Scholar
Mohammadzadeh, M, Bandani, AR and Borzoui, E (2013) The effect of cereal seed extracts on amylase activity of the rose sawfly, Arge rosae Linnaeus (Hymenoptera: Argidae). Archives of Phytopathology and Plant Protection 46, 24762485.CrossRefGoogle Scholar
Mohan Raj, S, Mohammed, S, Vinoth Kumar, S, Santhosh Kumar, C and Debnath, S (2012) Antidiabetic effect of Luffa acutangula fruits and histology of organs in streptozotocin induced diabetic in rats. Research Journal of Pharmacognosy and Phytochemistry 4, 6469.Google Scholar
Moore, S and Stein, WH (1948) Photometric ninhydrin method for use in the chromatography of amino acids. Journal of Biological Chemistry 176, 367388.CrossRefGoogle ScholarPubMed
Mukherjee, A, Karmakar, A and Barik, A (2017) Bionomics of Momordica cochinchinensis fed Aulacophora foveicollis (Coleoptera: Chrysomelidae). Proceedings of the Zoological Society 70, 8187.CrossRefGoogle Scholar
Nagarajaiah, SB and Prakash, J (2014) Chemical composition and bioactive potential of dehydrated peels of Benincasa hispida, Luffa acutangula, and Sechium edule. Journal of Herbs, Spices & Medicinal Plants 21, 193202.CrossRefGoogle Scholar
Nallappan, D, Fauzi, AN, Krishna, BS, Kumar, BP, Reddy, AVK, Syed, T, Reddy, CS, Yaacob, NS and Rao, PV (2021) Green biosynthesis, antioxidant, antibacterial, and anticancer activities of silver nanoparticles of Luffa acutangula leaf extract. BioMed Research International 2021, 128.CrossRefGoogle ScholarPubMed
Panicker, PS (2020) Pharmacological review of Luffa acutangula (L) Roxb. Journal of Pharmacognosy and Phytochemistry 9, 110116.Google Scholar
Pimple, BP, Kadam, PV and Patil, MJ (2011) Antidiabetic and antihyperlipidemic activity of Luffa acutangula fruit extracts in streptozotocin induced NIDDM rats. Asian Journal of Pharmaceutical and Clinical Research 4, 156163.Google Scholar
Roeder, KA and Behmer, ST (2014) Lifetime consequences of food protein-carbohydrate content for an insect herbivore. Functional Ecology 28, 11351143.CrossRefGoogle Scholar
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 5, 19.Google Scholar
Roy, N and Barik, A (2013) Influence of four host-plants on feeding, growth and reproduction of Diacrisia casignetum (Lepidoptera: Arctiidae). Entomological Science 16, 112118.CrossRefGoogle Scholar
S, AS and Vellapandian, C (2022) Phytochemical studies, antioxidant potential, and identification of bioactive compounds using GC–MS of the ethanolic extract of Luffa cylindrica (L.) fruit. Applied Biochemistry and Biotechnology 194, 40184032.CrossRefGoogle ScholarPubMed
Samvatsar, S and Diwanji, VB (2000) Plant sources for the treatment of jaundice in the tribals of western Madhya Pradesh of India. Journal of Ethnopharmacology 73, 313316.CrossRefGoogle Scholar
Sarkar, N, Mukherjee, A and Barik, A (2016) Effect of bitter gourd (Cucurbitaceae) foliar constituents on development and reproduction of Epilachna dodecastigma (Coleoptera: Coccinellidae). International Journal of Tropical Insect Science 36, 195203.CrossRefGoogle Scholar
Sarker, D, Rahman, MA, Jahan, SMH and Khan, MMH (2019) Taxonomic identification of Aulacophora (Coleoptera: Chrysomelidae) species in cucurbits from the southern part of Bangladesh. International Journal of Innovative Research 4, 5965.Google Scholar
Scalbert, A (1992) Quantitative methods for the estimation of tannins in plant tissues. In Hemingway, RW and Laks, PE (eds), Plant Polyphenols: Synthesis Properties, Significance, vol. 59. New York: Plenum Press, pp. 259280.CrossRefGoogle Scholar
Sharmin, R, Khan, MRI, Akhter, MA, Alim, A, Islam, MA, Anisuzzaman, ASM and Ahmed, M (2013) Hypoglycemic and hypolipidemic effects of cucumber, white pumpkin and ridge gourd in alloxan induced diabetic rats. Journal of Scientific Research 5, 161170.CrossRefGoogle Scholar
Shendge, PN and Belemkar, S (2018) Therapeutic potential of Luffa acutangula: a review on its traditional uses, phytochemistry, pharmacology and toxicological aspects. Frontiers in Pharmacology 9, 1177.CrossRefGoogle ScholarPubMed
Simpson, SJ and Raubenheimer, D (2009) Macronutrient balance and lifespan. Aging 1, 875880.CrossRefGoogle ScholarPubMed
Terra, WR and Ferreira, C (2005) Biochemistry of digestion. In Lawrence, IG, Kostas, I and Sarjeet, SG (eds), Comprehensive Molecular Insect Science. Oxford: Elsevier, pp. 171224.CrossRefGoogle Scholar
Thatchinamoorthi, R, Ganesan, K and Pandian, MR (2021) Antioxidant and antihyperglycemic potential of Luffa acutangula fruit extract in Streptozotocin-induced diabetic rats. Bulletin of Pure and Applied Sciences- Zoology 40, 116126.CrossRefGoogle Scholar
Treutter, D (2006) Significance of flavonoids in plant resistance: a review. Environmental Chemistry Letters 4, 147157.CrossRefGoogle Scholar
Viviandhari, D, Prastiwi, R, Puspitasari, EF and Perdianti, P (2020) Activity of ethanol fraction of Luffa acutangula (L.) Roxb. on cholesterol reduction in dyslipidemic hamster. Jurnal Jamu Indonesia 5, 4555.CrossRefGoogle Scholar
Vogel, AI (1958) Elementary Practical Organic Chemistry, Part III. Quantitative organic analysis. London: Longman Group Limited.Google Scholar
War, AR, Paulraj, MG, Ahmad, T, Buhroo, AA, Hussain, B, Ignacimuthu, S and Sharma, HC (2012) Mechanisms of plant defense against insect herbivores. Plant Signaling & Behavior 7, 13061320.CrossRefGoogle ScholarPubMed
Wei, M, Chi, H, Guo, Y, Li, X, Zhao, L and Ma, R (2020) Demography of Cacopsylla chinensis (Hemiptera: Psyllidae) reared on four cultivars of Pyrus bretschneideri (Rosales: Rosaceae) and P. communis pears with estimations of confidence intervals of specific life table statistics. Journal of Economic Entomology 113, 23432353.CrossRefGoogle ScholarPubMed
Yang, X, Sun, L, Chi, H, Kang, G and Zheng, C (2020) Demography of Thrips palmi (Thysanoptera: Thripidae) reared on Brassica oleracea (Brassicales: Brassicaceae) and Phaseolus vulgaris (Fabales: Fabaceae) with discussion on the application of the bootstrap technique in life table research. Journal of Economic Entomology 113, 23902398.CrossRefGoogle ScholarPubMed
Yong, HS (1993) Biochemical genetic differentiation between two Aulacophora leaf beetles (Insecta: Coleoptera: Chrysomelidae) from peninsular Malaysia. Comparative Biochemistry and Physiology Part B: Comparative Biochemistry 106, 317319.CrossRefGoogle Scholar
Zar, JH (1999) Biostatistical Analysis. New Jersey: Prentice Hall.Google Scholar
Figure 0

Table 1. Development time and adult longevity (Mean ± SE) of Aulacophora lewisii on three Luffa acutangula cultivars

Figure 1

Table 2. Morphological features of Aulacophora lewisii (n = 10, mean (mm) ± SE) fed on three Luffa acutangula cultivars under laboratory conditions (27 ± 1°C, 65 ± 5% r.h. and 12L:12D)

Figure 2

Table 3. Fecundity parameters (Mean ± SE) of Aulacophora lewisii emerging from larvae reared on three Luffa acutangula cultivars

Figure 3

Figure 1. Age-stage specific survival value (sxj) of Aulacophora lewisii fed on three Luffa acutangula cultivars.

Figure 4

Figure 2. Age-specific survival rate (lx), age-stage specific fecundity (fxj), age-specific fecundity (mx) and age-stage specific maternity (lxmx) of Aulacophora lewisii fed on three Luffa acutangula cultivars.

Figure 5

Figure 3. Age-stage specific life expectancy (exj) of Aulacophora lewisii fed on three Luffa acutangula cultivars.

Figure 6

Table 4. Mean (± SE) of intrinsic rate of increase (r), finite rate of increase (λ), net reproductive rate (R0: offspring/individual), mean generation time (T) and gross reproductive rate (GRR, number of offsprings) of Aulacophora lewisii reared on three Luffa acutangula cultivars

Figure 7

Figure 4. Amylolytic activity of fourth instars and adults of Aulacophora lewisii (n = 5) fed on roots and leaves of three Luffa acutangula cultivars, respectively. Means followed by different letters for amylolytic activities of either larvae or adults are significantly different by Tukey's test at 5% level of significance.

Figure 8

Figure 5. Proteolytic activity of fourth instars and adults of Aulacophora lewisii (n = 5) fed on roots and leaves of three Luffa acutangula cultivars, respectively. Means followed by different letters for proteolytic activities of either larvae or adults are significantly different by Tukey's test at 5% level of significance.

Figure 9

Figure 6. Lipolytic activity of fourth instars and adults of Aulacophora lewisii (n = 5) fed on roots and leaves of three Luffa acutangula cultivars, respectively. Means followed by different letters for lipolytic activity of either larvae or adults are significantly different by Tukey's test at 5% level of significance.

Figure 10

Table 5. Biochemical analyses (Mean ± SE) of the roots and leaves of three Luffa acutangula cultivars

Figure 11

Table 6. Correlation coefficients (r) of the life table parameters of adults of Aulacophora lewisii reared on the leaves of three Luffa acutangula cultivars with the nutrients, moisture content and antinutrients

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