Hostname: page-component-745bb68f8f-kw2vx Total loading time: 0 Render date: 2025-02-06T01:58:41.306Z Has data issue: false hasContentIssue false

Effects of humic acid and plant growth-promoting rhizobacteria (PGPR) on induced resistance of canola to Brevicoryne brassicae L

Published online by Cambridge University Press:  23 October 2018

R. Sattari Nasab
Affiliation:
Department of Plant Protection, Faculty of Agriculture, Shahid Bahonar University, Kerman, Iran
M. Pahlavan Yali*
Affiliation:
Department of Plant Protection, Faculty of Agriculture, Shahid Bahonar University, Kerman, Iran
M. Bozorg-Amirkalaee
Affiliation:
Department of Plant Protection, Faculty of Agricultural Sciences, University of Mohaghegh Ardabili, Ardabil, Iran
*
*Author for correspondence Phone: +983433257442 Fax: +983433257443 E-mail: pahlavanm@uk.ac.ir
Rights & Permissions [Opens in a new window]

Abstract

The cabbage aphid, Brevicoryne brassicae L. (Hem: Aphididae), is an important pest of canola that can considerably limit profitable crop production either through direct feeding or via transmission of plant pathogenic viruses. One of the most effective approaches of pest control is the use of biostimulants. In this study, the effects of humic acid, plant growth-promoting rhizobacteria (PGPR), and integrated application of both compounds were investigated on life table parameters of B. brassicae, and the tolerance of canola to this pest. B. brassicae reared on plants treated with these compounds had the lower longevity, fecundity, and reproductive period compared with control treatment. The intrinsic rate of natural increase (r) and finite rate of increase (λ) were lowest on PGPR treatment (0.181 ± 0.004 day−1 and 1.198 ± 0.004 day−1, respectively) and highest on control (0.202 ± 0.005 day−1 and 1.224 ± 0.006 day−1, respectively). The net reproductive rate (R0) under treatments of humic acid, PGPR and humic acid + PGPR was lower than control. There was no significant difference in generation time (T) of B. brassicae among the tested treatments. In the tolerance test, plants treated with PGPR alone or in integrated with humic acid had the highest tolerance against B. brassicae. The highest values of total phenol, flavonoids, and glucosinolates were observed in treatments of PGPR and humic acid + PGPR. Basing on the antibiosis and tolerance analyses in this study, we concluded that canola plants treated with PGPR are more resistant to B. brassicae. These findings could be useful for integrated pest management of B. brassicae in canola fields.

Type
Research Papers
Copyright
Copyright © Cambridge University Press 2018 

Introduction

Canola, Brassica napus L. (family Brassicaceae) is an important oilseed crop, which originated in either the Mediterranean region or the northern and western parts of Europe (Tsunoda, Reference Tsunoda1980). The diamondback moth, flea beetles, swede midge, cabbage seedpod weevil, pollen beetle, bertha armyworm, sucking insects, and noctuid pests can considerably limit canola production worldwide (Reddy, Reference Reddy2017). The cabbage aphid, Brevicoryne brassicae L. (Hem: Aphididae) is one of the most serious pests of this crop that creates large colonies on the leaves, stems, and buds of this crop and causes the twisting of leaves by sucking the phloem sap directly. It also interrupts photosynthesis by honeydew secretion and creating an environment for the growth of black mold fungus. This aphid could damage oilseed brassicas at flowering and pod founding stages (Ellis et al., Reference Ellis, Pink, Phelps, Jukes, Breeds and Pinnegar1998; Anwar & Shafique, Reference Anwar and Shafique1999). The seed loss is likely to occur 9–77%. Aphids also cause an 11% reduction in seed oil content (Kelm & Gadomski, Reference Kelm and Gadomski1995). On the other hand, they cause indirect damage via the transmission of viral diseases in plants, including the yellow mosaic virus, cauliflower mosaic virus, cucumber mosaic virus, onion yellow dwarf virus and cabbage black ringspot virus (Blackman & Eastop, Reference Blackman and Eastop2000). Chemical fertilizers may cause a population increase of herbivorous insects via modification of the nutritional quality of the host plant (Bentz et al., Reference Bentz, Reeves, Barbosa and Francis1995; Van Emden, Reference van Emden1995). Furthermore, chemical control by insecticides is the most effective and easiest way to control aphids (Verkerk et al., Reference Verkerk, Neugebauer, Ellis and Wright1998), but this method can lead to problems such as residues of pesticides in food and the environment, and pesticide resistance development in pests (Furk & Hines, Reference Furk and Hines1993). Therefore, more attention should be paid to other environmentally-safe and effective control methods for this pest. The use of biostimulants can limit the pest population and result in reduced reliance on its management on synthetic insecticides (Zehnder et al., Reference Zehnder, Kloepper, Yao and Wei.1997; Nardi et al., Reference Nardi, Pizzeghello, Schiavon and Ertani2015). A plant biostimulant is any microorganism or substance applied to plants or the rhizosphere with the aim to stimulate natural processes for the enhancement of nutrition efficiency, stress tolerance and/or crop quality, in spite of its nutritional content (du Jardin, Reference du Jardin2015). One group of more widely used biostimulants is humic substances. Several studies have demonstrated humic substances can improve plant growth and physiology (Bottomley, Reference Bottomley1914; Cacco & Dell'Agnola, Reference Cacco and Dell'Agnola1984; Dell'Agnola & Nardi, Reference Dell'Agnola and Nardi1987; Nardi et al., Reference Nardi, Arnoldi and Dell'Agnola1988; Pizzeghello et al., Reference Pizzeghello, Francioso, Ertani, Muscolo and Nardi2013), as well as plant defenses against biotic and abiotic stresses (Nardi et al., Reference Nardi, Pizzeghello, Schiavon and Ertani2015). Humic acid is a suspension derived from potassium-humates, which can be explored as a plant growth stimulant or soil conditioner for increasing natural resistance to plant diseases and pests (Scheuerell & Mahaffee, Reference Scheuerell and Mahaffee2004; Abd-El-Kareem, Reference Abd-El-Kareem2007).

Bio fertilizers like plant growth-promoting rhizobacteria (PGPR) can be classified as microbial biostimulants (du Jardin, Reference du Jardin2015). PGPR are able to mediate plant growth by diverse direct and indirect mechanisms (Glick, Reference Glick1995). Some of the mechanisms usually observed are the enhancement of nutrient availability; biological nitrogen fixation; protection from diseases and pests by the production of antibiotics, siderophores, hydrogen cyanide (de Medeiros et al., Reference de Medeiros, Silva, Mariano and Barros2005; Keel & Maurhofer, Reference Keel, Maurhofer, Weller, Thomashow, Loper, Paulitz, Mazzola, Mavrodi, Landa and Thompson2009), production of plant hormones and increasing stress tolerance (Glick et al., Reference Glick, Patten, Holgin and Penrose1999).

The construction of life tables is appropriate to study the dynamics related to the population growth potential, also called demographic parameters (Carey, Reference Carey1993; Southwood & Henderson, Reference Southwood and Henderson2000). Since the intrinsic rate of natural increase is a reflection of many factors, such as fecundity, survival, and generation time, it adequately summarizes the physiological qualities of an animal in relation to its capacity for population growth. Therefore, it is an appropriate index to evaluate the performance of an insect on different host plants as well as the host plant's antibiosis resistance to herbivorous insects (Smith, Reference Smith1989; Carey, Reference Carey1993; Southwood & Henderson, Reference Southwood and Henderson2000). Antibiosis (one of the basic modalities of host plant resistance) is a negative effect of the host plant on the biological parameters of pests (Hesler & Tharp, Reference Hesler and Tharp2005). Tolerance is another way of the host-plant resistance to pests and is defined as the plant's ability to endure an insect population that can damage a more susceptible host plant (Hesler & Tharp, Reference Hesler and Tharp2005). The application of humic substances and PGPR might lead to induced resistance of plants to some pests (Hosseini, Reference Hosseini2014; Mohamadi et al., Reference Mohamadi, Razmjou, Naseri and Hassanpour2017; Rashid & Chung, Reference Rashid and Chung2017). Induced resistance is defined as an enhancement of the plant's defensive capacity against a broad spectrum of pathogens and pests, acquired after appropriate stimulation (Broadway et al., Reference Broadway, Gongora, Kain, Sanderson, Monroy, Bennett, Warner and Hoffman1998). Yildirim & Unay (Reference Yildirim and Unay2011) reported the resistance induction of tomato plants by humic substances such as fulvic acid in combination with calcium nitrate against Liriomyza trifolii (Burgess). Moreover, induced resistance by PGPR has been found in corn to corn earworm, Helicoverpa zea Hübner (Bong & Sikorowski, Reference Bong and Sikorowski1991); in cucumber against cucumber beetles, Diabrotica undecimpunctata Barber (Zehnder et al., Reference Zehnder, Kloepper, Yao and Wei.1997); in cotton to cotton bollworm, Helicoverpa armigera Hübner (Qingwen et al., Reference Qingwen, Ping, Gang and Qingnian1998), and in bell pepper against the green peach aphid, Myzus persicae (Sulzer) (Mardani-Talaee et al., Reference Mardani-Talaee, Nouri-Ganblani, Razmjou, Hassanpour, Naseri and Asgharzadeh2016; Reference Mardani-Talaee, Razmjou, Nouri-Ganbalani, Hassanpour and Naseri2017).

Secondary plant chemicals, especially phenolic compounds are important resistance factors of plants, having unfavorable effects on insect growth and feeding behavior (Cipollini et al., Reference Cipollini, Stevenson, Enright, Eyles and Bonello2008). Furthermore, flavonoids are one of the largest phenolic compounds in plants that play a key role in plant defense against pests and diseases (Hondo et al., Reference Hondo, Yoshida, Nakagawa, Kawai, Tamura and Goto1992). Qingwen et al. (Reference Qingwen, Ping, Gang and Qingnian1998) reported polyphenol and terpenoid contents of cotton plants treated with Pseudomonas gladioli influenced the relative growth rate, consumption rate, and the digestibility of feed in H. armigera. Additionally, glucosinolates (GSLs) (a group of naturally-occurring thioglucosides) are the main secondary metabolites accumulated in Brassicaceae plants (Halkier & Gershenzon, Reference Halkier and Gershenzon2006), and are essential in the nutrition of the cabbage aphid (Tjallingii, Reference Tjallingii1976). Many studies have demonstrated that GSL accumulation can be ‘induced’ by various factors, such as insect attack (Lammerink et al., Reference Lammerink, MacGibhon and Wallace1984; Birch et al., Reference Birch, Griffiths and Smith1990; Bennett & Wallsgrove, Reference Bennett and Wallsgrove1994). Moreover, the presence of higher contents of GSLs in Brassicaceae plants induces plant resistance. GSLs are significant factors impairing the nutritional quality of the plant family of Brassicaceae and restricting their use as high-quality protein animal feed (Jezek et al., Reference Jezek, Haggett, Atkinson and Rawson1999).

Biostimulants can affect the amounts of defensive chemical components in plants against herbivorous insects. Therefore, the aim of this research was to evaluate the effects of humic acid as an organic fertilizer and PGPR as a bio-fertilizer on the contents of phenolic compounds and GSLs in canola leaves and the resultant effects on antibiosis and tolerance parameters of canola for B. brassicae, which could then be used in the integrated management of this pest.

Materials and methods

Plant collection

The seeds of tested canola plants (cv. Jerry) were procured from Research, Education, Agriculture, and Natural Resources of Kerman, Iran, and were grown individually in 20-cm-diameter pots filled with a mixture of soil, sand, and manure (2:1:1). The plants were reared in a greenhouse (20–30°C, 60 ± 5% RH and natural photoperiod).

Insect colony

The used aphids in the experiments were acquired from the aphid colony reared in the laboratory of the plant protection department of Shahid Bahonar University, Kerman, Iran, in September 2017 and transferred to the potted plants under the above-defined conditions. Aphids were reared on canola plants (cv. Jerry) for four generations before starting the experiments.

Induction treatments

In this study, four different treatments were used on canola plants twice (two and six-leaf stages): (1) the use of an aqueous solution of distilled water for control; (2) addition of humic acid to the pots (2.5  mg kg−1/pot−1) with irrigation water; (3) the spraying of Roshdafza (commercial product of Biorun company) as PGPR on plants (3cc litre−1 water), which contain Pseudomonas fluorescens strain NBTR168, Azotobacter chroococcum strain NBTAzt2; and Azospirillum brasilense strain NBTAzoof (each of these bacteria with the rate of 2 × 107 CFU ml−1) (4) integrated application of both treatments (humic acid + PGPR).

Canola plants were exposed to cabbage aphid 48 h after the second application of the treatments.

Life table study

To evaluate the effects of studied treatments on the life history parameters of the cabbage aphid, experiment was carried out using clip cages (6 cm diameter and 1.5 cm depth) established on leaves of potted canola plants (N = 5 potted plant for each treatment) in a growth chamber (20 ± 1°C, 60 ± 5% RH and 16L: 8D).

48 h after the second application of treatments, adult apterous aphids individually were placed on the lower surface of a given leaf of the respective plant. Each clip cage was considered a replicate, and a total of 30 clip cages were established on canola plants in each treatment. After 24 h, aphid mother and all nymphs except one nymph were removed. Each cage was monitored daily until the maturity of the aphid to determine nymphal developmental time and survival rate of B. brassicae for each treatment. After maturity, daily observations were followed until each female aphid died. The numbers of nymphs produced per female aphid were recorded daily, and then nymphs were completely removed from the cages. The obtained data from this experiment was used for assessing the population growth parameters.

Tolerance experiment

This experiment was carried out with the four above-mentioned treatments (ten replications for canola plants without any infestation to cabbage aphid and ten replications for canola plants with artificial infestation). The plants reached the six-leaf stage at the onset of the experiment. In the ten later replications, each plant within a plastic cage was infested with five apterous adults of B. brassicae. Every day, the plants were checked, and the number of aphids per plant was regulated to five aphids. The experiment was terminated 21 days after infestation. Then, the percentage of reduction in growth parameters, including leaf area, chlorophyll content, shoot length (the height of plant from the surface of the soil), root length, fresh weight, and dry weight in the infested plants to non-infested plants for each treatment was calculated as:

$$RGP\,\% = \displaystyle{{GP_N-GP_I} \over {GP_N}} \times 100$$

Where RGP % is the percentage reduction of the growth parameter in infested plants to non-infested plants, GP N is the growth parameter in non-infested plants, and GP I is the growth parameter in infested plants.

Determination of total phenolic compounds

The level of total phenolic compounds in leaves of canola plants treated with humic acid and PGPR was measured based on Ronald & Laima (Reference Ronald and Laima1999) for which a 0.1 mg sample of the leaf was milled in 95% ethanol and permitted to extract for 24–72 h. Thereafter, to 1 ml of the sample, 1.5 ml of 95% ethanol was added and made up to a volume of 5 ml with distilled water. To this mixture, 0.5 ml of 50% Folin's reagent and 1 ml of 5% sodium carbonate was added and vortexed. The mixture was kept in the dark for 1 h. Then, the absorbance was measured at 725 nm using a spectrophotometer (Ronald & Laima, Reference Ronald and Laima1999). Plants samples treated with distilled water used as control treatment.

Determination of flavonoids

The leaves of canola (0.1 g) grown in studied treatments were weighed and placed in a porcelain mortar and pestle to be crushed. Then, 10 ml of acidified ethanol was slowly added to the contents of porcelain mortar. After grinding the plant samples, they were centrifuged at 8000 × g for 10 min. The extract was passed through Whatman filter paper No.1 and it was put in a hot water bath (80°C) for 10 min for measuring the flavonoids. After cooling of the extracts, the absorbance was read using a spectrophotometer in the wavelengths of 270 nm (Krizek et al., Reference Krizek, Brita and Mirecki1998).

Determination of total GSL content

The powder (0.1 g) of canola leaves under each treatment was transferred to a 10 ml glass tube with a lid. Then, using the method described by Ishida et al. (Reference Ishida, Kakizaki, Ohara and Morimitsu2011), GSL was extracted as follows. To the powder in glass tubes, 4.8 ml of 80% methanol kept at room temperature was added. After the addition of 0.2 ml of 5 mM sinigrin as an internal standard, the tubes were kept at 25°C for 30 min. and then shaken reciprocally for 30 min. in a shaker. The tubes were centrifuged at 1600 × g for 10 min. The supernatant was used as a crude extract.

Palladium colorimetric analysis of the total GSL content

Colorimetric analysis of the total GSL content was performed by simplifying the method described by Møller et al. (Reference Møller, Ploger, Sørensen and Sørensen1985). Purification with ion-exchange chromatography was omitted. To 0.2 ml of crude GSL extract, 0.3 ml of distilled water and 3 ml of 2 mM palladium chloride reagent, in which 3.54 mg PdCl2 had been dissolved in 1.68 ml of concentrated hydrochloric acid and diluted to 1000 ml with distilled water, were added and mixed. After incubation at 25°C for 1 h, absorbance at 425 nm was measured using a spectrophotometer.

Data analysis

The raw life-history data of all individuals of B. brassicae were analyzed using the TWOSEX-MSChart program (Chi, Reference Chi2017) based on the age-stage, two-sex life table theory (Chi & Liu, Reference Chi and Liu1985). The age-stage specific survival rate (s xj) (where x is the age and j is the stage), age-stage specific fecundity (f xj), age-specific survival rate (l x), age-specific fecundity (m x), and age-specific maternity (l xmx) were evaluated from the daily records of the survival and fecundity of all individuals in the cohort. Furthermore, the fertility life table parameters including the intrinsic rate of natural increase (r), net reproductive rate (R 0), mean generation time (T), finite rate of increase (λ), and doubling time (DT) were calculated.

The intrinsic rate of increase was estimated using the iterative bisection method from the Euler–Lotka formula with age indexed from 0 (Goodman, Reference Goodman1982):

$$\sum\limits_{x = 0}^\omega {{\rm e}^{-r(x + 1)}l_x} \,m_x = 1$$

The means and standard errors of life table parameters were determined using the bootstrap technique (Efron & Tibshirani, Reference Efron and Tibshirani1993; Huang & Chi, Reference Huang and Chi2012) with 100,000 resampling. The bootstrap method is embedded in the computer program TWOSEX-MSChart. The paired bootstrap test was used to evaluate the differences between treatments.

Data of the tolerance experiment, determination of total phenolics, flavonoids and GSLs were assessed for normality with the Kolmogorov–Smirnov test and were analyzed using the one-way analysis. Arcsin square root transformation was applied for percentage data to handle the heterogeneity of variance prior to data analysis. Then, multiple comparisons were made using the Tukey test (SPSS, 2015).

Result and discussion

There was no significant difference in the nymph period of B. brassicae among treatments (F = 8.49; df = 3, 116; P > 0.05; table 1). However, tested treatments significantly influenced longevity (F = 137.14; df = 3, 116; P < 0.05), reproductive period (F = 404.93; df = 3, 116; P < 0.05), and fecundity of this aphid (F = 545.14; df = 3, 116; P < 0.05) (table 1). The longevity of adult females under PGPR and PGPR + humic acid treatments was significantly lower compared with control treatment (table 1). Moreover, no significant difference was found in adult longevity between humic acid and the other studied treatments. The reproductive period and fecundity of B. brassicae on plants treated with humic acid, PGPR, and PGPR + humic acid were significantly lower than those on plants without fertilizer treatment (control) (table 1). There are several reports on the significant effects of humic compounds and PGPR on the biological characteristics of other aphids such as Aphis gossypii Glover reared on cucumber (Fahimi et al., Reference Fahimi, Ashouri, Ahmadzadeh, Hoseini Naveh, Asgharzadeh and Maleki2014; Hosseini, Reference Hosseini2014) and M. persicae reared on bell pepper (Mardani-Talaee et al., Reference Mardani-Talaee, Razmjou, Nouri-Ganbalani, Hassanpour and Naseri2017). In our research, the lowest number of nymphs produced per female was calculated for PGPR treatment but did not differ significantly from the PGPR + humic acid treatment (table 1). The lower fecundity of B. brassicae on bacterial treatments indicated a minor suitability of canola plants treated with PGPR than the others for the cabbage aphid. Moreover, Fahimi et al. (Reference Fahimi, Ashouri, Ahmadzadeh, Hoseini Naveh, Asgharzadeh and Maleki2014) reported that Pseudomonas fluorescens strains UTPF68 and PF169 could decrease the average progeny produced by A. gossypii adults on cucumber. Our results showed that the adult pre-reproduction period (APRP) of each reproduced female was zero in the four tested treatments and all females that emerged started producing immediately. The APRP is calculated based on the adult stage. It assumes all females emerged at the same time. Therefore, no significant differences were observed in the APRP of B. brassicae among the tested treatments.

Table 1. Mean (±SE) nymph period, adult longevity, reproductive period and fecundity of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

Means within a column followed by different letters are significantly different according to the paired bootstrap test at 5% significance level.

The age-stage specific survival rate (s xj) represents the probability that a nymph of B. brassicae will survive to age x and stage j (fig. 1). The variable development rates among individuals in the cohort resulted in an overlapping of the stage-specific survivorship curves. The age-stage-specific survival rate (s xj) curve showed a similar pattern in all the different fertilizer treatments. When all stages are pooled, the age-specific survival rate (lx) gives a simplified overview of the survival history of the whole cohort (fig. 2). The l x curve indicated that survival was approximately 100% in the nymph period, and then it declined slowly until the death of the last adult. This could be because of increased secondary metabolites in the plant and the composition of the epicuticular lipids (Eigenbrode & Espelie, Reference Eigenbrode and Espelie1995). Death of the last female under treatments of humic acid, PGPR, PGPR + humic acid, and control occurred at days of 47, 46, 41, and 47, respectively.

Fig. 1. Age-stage specific survival rate (s xj) of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

Fig. 2. Age-specific survival rate (l x), female age-specific fecundity (f x2), age-specific fecundity (m x), and age-specific maternity (l xmx) of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

The highest f x2 peak in treatments of humic acid, PGPR, PGPR + humic acid, and control was 2.4, 2.2, 2.6, and 2.9, respectively. The age-specific fecundity (m x) and the age-specific maternity (l xmx) of B. brassicae are also shown in fig. 2. The highest peaks of m x and l xmx were recorded as 1.9 on humic acid (at 15 day), 1.6 on PGPR (at 19 day), 1.9 on PGPR + humic acid (at 18 day) and 2.5 on control (at 15 day).

The reproductive value (vxj) gives the expected contribution of individuals of age x and stage j (fig. 3). At age 0, the reproductive values (v 01), were the same as the finite rates on the four treatments, i.e. 1.211 day−1 on humic acid, 1.198 day−1 on PGPR, 1.201 day−1 on PGPR + humic acid and 1.224 day−1 on control (fig. 3). The values of v xj peaks on these treatments increased to 9.452 day−1, 8.896 day−1, 9.30 day−1, and 9.880 day−1 after the emergence of female adults (fig. 3). It shows that individuals at the peak reproductive phases can contribute much more than a newborn nymph. The age-stage life expectancy (e xj) (where x is the age and j is the stage) shows the expected lifespan for an individual of age x and stage j (fig. 4). The life expectancies of B. brassicae at age 0 (e 01) were 36.7, 34.7, 34.8, and 40.1 days, on treatments of humic acid, PGPR, PGPR + humic acid and control, respectively, and, at the stage of aphid maturity, 27.7, 25.7, 25.8, and 32.1 days (fig. 4).

Fig. 3. Age-stage reproductive value (V xj) of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

Fig. 4. Age-stage specific life expectancy (e xj) of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

The population growth parameters are appropriate indexes to compare pest performance under different conditions in host plants (Carey, Reference Carey1993; Southwood & Henderson, Reference Southwood and Henderson2000). The net reproductive rate (R 0) and the intrinsic rate of population increase (r) are the two key demographic parameters used to evaluate the fitness of populations across diverse climatic and food-related conditions (Liu et al., Reference Liu, Li, Gong and Wu2004). The value of the net reproductive rate (R 0) under fertilizer treatments of humic acid, PGPR, and PGPR + humic acid was significantly lower compared with no-fertilizer treatment (control) (F = 545.14; df = 3, 116; P < 0.05; table 2). In our study, this could be attributed to the lower fecundity of B. brassicae under the mentioned fertilizer treatments than control treatment. Furthermore, Mohamadi et al. (Reference Mohamadi, Razmjou, Naseri and Hassanpour2017) reported that R 0 of Tuta absoluta (Meyrick) was significantly lower on tomato plants treated with PGPR (Pseudomonas fluorescens) and humic fertilizer than on untreated plants. It may be related to the promoted plant growth and induced systemic resistance. The lowest values of the intrinsic rate of increase (r) and finite rate of increase (λ) of B. brassicae were achieved in the PGPR treatment (0.181 and 1.198 day−1, respectively) and the highest values of these parameters were observed in control (0.202 and 1.224 day−1, respectively) (F = 150.28; df = 3, 116; P < 0.05 and F = 149.74; df = 3, 116; P < 0.05; respectively) (table 2). Mardani-Talaee et al. (Reference Mardani-Talaee, Nouri-Ganblani, Razmjou, Hassanpour, Naseri and Asgharzadeh2016) showed that r of M. persicae on bell pepper treated with Bacillus subtilis and Glomus Intraradices × Pseudomonas fluorescens was significantly lower than on control (no treatment). In the current study, there was no significant difference in the generation time (T) of B. brassicae among the tested treatments (F = 49.98; df = 3, 116; P > 0.05; table 2). However, the DT was longest in treatments of PGPR and PGPR + humic acid and shortest in control treatment (F = 153.20; df = 3, 116; P < 0.05; table 2).

Table 2. Mean (±SE) life table parameters of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

R 0, net reproductive rate; r m, intrinsic rate of increase; λ, finite rate of increase; T, mean generation time; DT, doubling time.

Means within a column followed by different letters are significantly different according to the paired bootstrap test at 5% significance level.

Our results demonstrated that the population growth of B. brassicae under treatments containing PGPR was limited mostly by the shorter reproductive period and poor fecundity. Furthermore, the decreased performance of the cabbage aphid on plants treated with PGPR was related to the lower age-stage life expectancy (e xj) of individuals used in the life table study in this treatment. In fact, PGPR led to the lowest intrinsic rate of increase, finite rate of increase, and the reproductive value (v xj) of B. brassicae on canola plants, and, hence, it appeared to be the most suitable induction treatment to reduce the population growth of this pest among the tested treatments. Therefore, it can be concluded that the PGPR cause antibiosis resistance in canola plants to cabbage aphid.

In this experiment, the analysis of growth parameters data showed significant differences in leaf area (F = 6.76; df = 3, 36; P = 0.001), chlorophyll content (F = 5.49; df = 2, 98; P = 0.044), shoot length (F = 3.47; df = 3, 36; P = 0.026), fresh weight (F = 13.15; df = 3, 26; P < 0.0001), and dry weight (F = 14.77; df = 3, 36; P < 0.0001). No significant differences were found in root length among the tested treatments (F = 1.73; df = 3, 36; P = 0.179; table 3).

Table 3. The mean (±SE) percentage reduction of growth parameters in aphid-infested canola plants treated with humic acid and PGPR.

Means followed by a different letter within a column are significantly different (Tukey's HSD test; P < 0.05).

In this study, the percentage reduction of the leaf area under PGPR and PGPR + humic acid treatments (6.05 and 4.61, respectively) was calculated to be significantly lower compared with control treatment (22.51) (table 3). Furthermore, the percentage reduction of Chlorophyll content was lowest on PGPR + humic acid treatment (15.66) and the highest on control treatment (39.48) (table 3). The least and the maximum percentage reduction of shoot length was determined in treatments of PGPR (3.25) and control (17.47), respectively (table 3). In addition, the percentage reduction of fresh weight and dry weight was significantly lower in treatments of PGPR and PGPR + humic acid rather than humic acid and control (table 3).

Our research indicated that PGPR application resulted in a greater tolerance level of canola plants for B. brassicae. PGPR can accelerate plant growth by helping to escape from attacks by some pathogenic microorganisms and pests (Pineda et al., Reference Pineda, Zheng, Van Loon, Pieterse and Dicke2010). Cakmakci et al. (Reference Cakmakci, Erat, Erdo.an and Donmez2007) showed the considerable effects of PGPR on plant growth parameters such as shoot fresh weight, plant height, and leaf area in wheat and spinach. Cheng et al. (Reference Cheng, Park and Glick2007) reported inoculation of the Pseudomonas putida strain UW4, containing the ACC deaminase enzyme in the presence of salt, significantly improved canola growth. Generally, PGPR can increase plant growth through the production of hormones such as auxins, gibberellins, and cytokinins (Bhattacharyya & Jha, Reference Bhattacharyya and Jha2012). The positive effect of an integrated application of PGPR and humic acid on plant growth indices was evident in our study. Furthermore, Ahmad et al. (Reference Ahmad, Daur, Al-Solaimani and Yasir2016) concluded that an integrated use of humic acid and PGPR was an effective approach to improve canola nourishment and yield. Some research has shown that humic acid application could increase the growth indices such as the dry weight, fresh weight, and shoot length of maize (Eyheraguibel et al., Reference Eyheraguibel, Silvestre and Morard2008) and pepper (Gulser et al., Reference Gulser, Sonmez and Boysan2010). The effect of humic acid was dependent on the generation of reactive oxygen species (ROS) in the inducement of root growth and the spread of lateral root (Cordeiro et al., Reference Cordeiro, Catarina, Silveira and De Souza2011).

Our results showed that fertilizer treatments significantly influenced the amount of total GSL in leaves of canola (F = 12.29; df = 3, 36; P < 0.001). The level of total GSL was significantly higher in treatments of PGPR and PGPR + humic acid rather than humic acid and control (table 4). Earlier studies had shown a significant negative correlation between the GSL content of Brassica species and populations of aphids feeding on them such as Lipaphis erysimi (Kaltenbach) (Labana et al., Reference Labana, Ahjua, Gupta and Brar1983; Malik et al., Reference Malik, Anand and Srinivasachar1983).

Table 4. The mean (±SE) amount of total Glucosinolate, total phenol, and flavonoids in aphid-infested leaves of canola plants treated with humic acid and PGPR.

Means followed by a different letter within a column are significantly different (Tukey's HSD test; P < 0.05).

In the current study, the amount total phenolic compounds and flavonoids varied significantly among different fertilizer treatments (F = 10.12; df = 3, 36; P < 0.001 and F = 5.64; df = 3, 16; P = 0.008; respectively). The level of total phenolic compounds in leaves of canola was significantly higher under treatments of PGPR and PGPR + humic acid rather than humic acid and control (table 4). Moreover, the flavonoids in treatments of PGPR and PGPR + humic acid were significantly more than control (table 4). The amount of flavonoids in humic acid treatment did not differ significantly from the other tested treatments.

Chamam et al. (Reference Chamam, Sanguin, Bellvert, Meiffren, Comte, Wisniewski-Dye, Bertrand and Prigent-Combaret2013) demonstrated that phenolic compounds such as flavonoids and hydroxycinnamic derivatives were the main rice metabolites affected in response to Azospirillum bacteria. Also, foliar application of Pseudomonas fluorescens strain Pf1 could increase phenolic compounds of peanut plants (Meena et al., Reference Meena, Radhajeyalakshmi, Marimuthu, Vidhyasekaran, Doraiswamy and Velazhahan2000). The productions of secondary metabolites in plants are usually enhanced in response to environmental tensions such as herbivores and pathogens (Bourgaund et al., Reference Bourgaund, Gravot, Milesi and Gontier2010). Hence, phenolics are biologically effective secondary metabolites, negatively impacting development, on development, reproduction, and population growth parameters of the aphids (Wójcicka, Reference Wójcicka2010). Negative associations between the presence of phenolic compounds in plant species and aphid's invasion have been recorded for some aphid species (Havlíčková, Reference Havlíčková1995; Sandström et al., Reference Sandström, Telang and Moran2000). Chassy et al. (Reference Chassy, Bui, Renaud, Van Horn and Mitchell2006) reported that humic acid increased flavonoids, total phenol, and ascorbic acid in organic tomatoes. Hanafy Ahmed et al. (Reference Hanafy Ahmed, Nesiem, Hewedy and Sallam2010) showed that the amount of sugars, amino acids, proteins, and total phenol content in green bean plants increased after humic acid application. Furthermore, tomato plants treated with humic substances had a negative effect on populations of Liriomyza trifolii (Burgess) (Yildirim & Unay, Reference Yildirim and Unay2011).

In our research, humic acid alone (without integrated with PGPR) was not significantly effective on the resistance of canola to cabbage aphid. This could be attributed to the level of consumption, source, and type of humic substances (Arancon et al., Reference Arancon, Edwards, Lee and Byrne2006). Our results indicated that canola plants treated with PGPR having a high level of phenolic compounds were more resistant to the cabbage aphid. Mardani-Talaee et al. (Reference Mardani-Talaee, Nouri-Ganblani, Razmjou, Hassanpour, Naseri and Asgharzadeh2016) demonstrated that phenolics in leaves of bell pepper could decrease fecundity and the growth rate of the M.persicae population. Previous research suggested that the PGPR was able to induce resistance responses against insects by promoting plant growth and distinctive alterations in biochemical profiles and plant molecular mechanisms (Zehnder et al., Reference Zehnder, Kloepper, Yao and Wei.1997; Rashid & Chung, Reference Rashid and Chung2017). Zebelo et al. (Reference Zebelo, Song, Kloepper and Fadamiro2016) reported that cotton root colonization by PGPR could induce systemic resistance to S. exigua due to increased plant hormones. In addition, induced systemic resistance has been found in cotton plants against H. armigera (Rajendran et al., Reference Rajendran, Samiyappan, Raguchander and Saravanakumar2007), and in tomato plants against whitefly (Hanafi et al., Reference Hanafi, Traore, Schnitzler, Woitke, Hanafi and Schnitzler2007) due to PGPR application. The relative growth rate and the relative consumption rate of H. armigera larvae were reduced in cotton plants treated with Pseudomonas gladioli because of an increase in the content of polyphenol and terpenoids in cotton (Qingwen et al., Reference Qingwen, Ping, Gang and Qingnian1998). In fact, rhizobacteria can increase plant health and resistance to herbivore insects by triggering systemic defense responses (Rashid & Chung, Reference Rashid and Chung2017).

In summary, we concluded that canola plants treated by PGPR were the least suitable host for the B. brassicae. Therefore, PGPR could induce resistance in canola against the cabbage aphid. The research could provide valuable information for integrated management of B. brassicae in the canola fields. More attention should be paid to field experiments to obtain more accurate results with respect to the performance of this pest.

Acknowledgements

The authors appreciate Shahid Bahonar University (Iran) for financial support of this research.

References

Abd-El-Kareem, F. (2007) Induced resistance in bean plants against root rot and Alternaria leaf spot diseases using biotic and abiotic inducers under field conditions. Research Journal of Agriculture and Biological Sciences 3, 767774.Google Scholar
Ahmad, S., Daur, I., Al-Solaimani, S.G. & Yasir, M. (2016) Effect of rhizobacteria inoculation and humic acid application on canola (Brassica napus L.) crop. Pakistan Journal of Botany 48(5), 21092120.Google Scholar
Anwar, M. & Shafique, M. (1999) Relative development of aphids on different Brassica cultivars. Pakistan Journal of Zoology 31, 357359.Google Scholar
Arancon, N.Q., Edwards, C.A., Lee, S. & Byrne, R. (2006) Effects of humic acids from vermicomposts on plant growth. European Journal of Soil Biology 42, 6569.Google Scholar
Bennett, R.N. & Wallsgrove, R.M. (1994) Tansley review No. 72: secondary metabolites in plant defence mechanisms. New Phytologist 127, 617633.Google Scholar
Bentz, J.A., Reeves, I.J., Barbosa, P. & Francis, B. (1995) Nitrogen fertilizer effect on selection, acceptance and suitability of Euphorbia pulcherrima (Euphorbiaceae) as a host plant to Bemisia tabaci (Homoptera: Aleyrodidae). Environmental entomology 24, 4045.Google Scholar
Bhattacharyya, P.N. & Jha, D.K. (2012) Plant growth promoting rhizobacteria (PGPR): emergence in agriculture. World Journal of Microbiology & Biotechnology 28(4), 13271350.Google Scholar
Birch, A.N.E., Griffiths, D.W. & Smith, W.H.M. (1990) Changes in forage and oilseed rape glucosinoiates in response to attack by turnip root fly (Delia fioralis). Journal of the Science of Food and Agriculture 51, 309320.Google Scholar
Blackman, R.L. & Eastop, V.F. (2000) Aphids on the World's Crop: An Identification and Information Guide. London, John Wiley and Sons, 466 pp.Google Scholar
Bong, C.F.J. & Sikorowski, P.P. (1991) Effects of cytoplasmic polyhedrosis virus and bacterial contamination on growth and development of the corn earworm, Helicoverpa zea. Journal of Invertebrate Pathology 57, 406412.Google Scholar
Bottomley, W.B. (1914) The significance of certain food substances for plant growth. Annals of Botany 28, 531540.Google Scholar
Bourgaund, F., Gravot, A., Milesi, S. & Gontier, E. (2010) Production of plant secondary metabolite: a historical perspective. Plant Science 161, 839851.Google Scholar
Broadway, R.M., Gongora, C., Kain, W.C., Sanderson, J.A., Monroy, J.A., Bennett, K.C., Warner, J.B. & Hoffman, M.P. (1998) Novel chitinolytic enzymes with biological activity against herbivorous insect. J ournal of Chemical Ecology 24, 985998.Google Scholar
Cacco, G. & Dell'Agnola, G. (1984) Plant growth regulator activity of soluble humic complex. Canadian Journal of Soil Science 62, 306310.Google Scholar
Cakmakci, R., Erat, M., Erdo.an, U.G. & Donmez, M.F. (2007) The influence of PGPR on growth parameters, antioxidant and pentose phosphate oxidative cycle enzymes in wheat and spinach plants. Journal of Plant Nutrition and Soil Science 170, 288295.Google Scholar
Carey, J.R. (1993) Applied Demography for Biologists with Special Emphasis on Insects. New York, Oxford University Press, 206 pp.Google Scholar
Chamam, A., Sanguin, H., Bellvert, F., Meiffren, G., Comte, G., Wisniewski-Dye, F., Bertrand, C. & Prigent-Combaret, C. (2013) Plant secondary metabolite profiling evidences strain-dependent effect in the Azospirillum-Oryza sativa association. Phytochemistry 87, 6577.Google Scholar
Chassy, A.W., Bui, L., Renaud, E.N.C., Van Horn, M. & Mitchell, A.E. (2006) A three-year comparison of the content of antioxidant micro constituents and several quality characteristics in organic and conventionally managed tomatoes and bell peppers. Journal of Agricultural and Food Chemistry 54, 82448252.Google Scholar
Cheng, Z., Park, E. & Glick, B.R. (2007) 1- Aminocyclopropane-1-carboxylate deaminase from Pseudomonas putida UW4 facilitates the growth of canola in the presence of salt. Canadian Journal of Microbiology 53, 912918.Google Scholar
Chi, (2017) TWOSEX-MSChart: A Computer Program for the age-Stage, two-sex Life Table Analysis. Taichung, Taiwan, National Chung Hsing University. Available online at http://140.120.197.173/ecology/Download/TWOSEX-MSChart.rar.Google Scholar
Chi, H. & 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
Cipollini, D., Stevenson, R., Enright, S., Eyles, A. & Bonello, P. (2008) Phenolic metabolites in leaves of the invasive shrub, Lonicera maackii, and their potential phytotoxic and anti-herbivore effects. Journal of Chemical Ecology 34, 144152.Google Scholar
Cordeiro, F.C., Catarina, C.S., Silveira, V. & De Souza, S.R. (2011) Humic acid effect on catalase activity and the generation of reactive oxygen species in corn (Zea mays). Bioscience, Biotechnology, and Biochemistry 75(1), 7074.Google Scholar
Dell'Agnola, G. & Nardi, S. (1987) Hormone-like effect of enhanced nitrate uptake induced by depolycondensed humic fractions obtained from Allolobophora rosea and A. caliginosa faeces. Biology and Fertility of Soils 4, 115118.Google Scholar
de Medeiros, F.H.V., Silva, G., Mariano, R.L.R. & Barros, R. (2005) Effect of bacteria on the biology of diamondback moth (Plutella xylostella) on cabbage (Brassica oleraceae var. capitata) cv. Midori. Anais da Academia Pernambucana de Ciência Agronômica 2, 204212.Google Scholar
du Jardin, P. (2015) Plant biostimulants: definition, concept, main categories and regulation. Scientia Horticulturae 196, 314.Google Scholar
Efron, B. & Tibshirani, R.G. (1993) An introduction to the Bootstrap. New York, NY, Chapman & 230 Hall, 432 pp.Google Scholar
Eigenbrode, S.D. & Espelie, K.E. (1995) Effects of plant epicuticular lipids on insect herbivores. Annual Review of Entomology 40, 171194.Google Scholar
Ellis, P.R., Pink, D.A.C., Phelps, K., Jukes, P.L., Breeds, S.E. & Pinnegar, A.E. (1998) Evaluation of a core collection of Brassica accessions for resistance to Brevicoryne brassicae. Euphytica 103, 149160Google Scholar
Eyheraguibel, B., Silvestre, J. & Morard, P. (2008) Effects of humic substances derived from organic waste enhancement on the growth and mineral nutrition of maize. Bioresource Technology 99(10), 42064212.Google Scholar
Fahimi, A., Ashouri, A., Ahmadzadeh, M., Hoseini Naveh, V., Asgharzadeh, A. & Maleki, F. (2014) Effect of PGPR on population growth parameters of cotton aphid. Archives of Phytopathology and Plant Protection 47(11), 12741285.Google Scholar
Furk, C. & Hines, C.M. (1993) Aspects of insecticide resistance in the melon and cotton aphid, Aphis gossypii (Hemiptera: Aphididae). Annals of Applied Biology 123, 917.Google Scholar
Glick, B.R. (1995) The enhancement of plant-growth by free-living bacteria. Canadian Journal of Microbiology 41, 109117.Google Scholar
Glick, B.R., Patten, C.L., Holgin, G. & Penrose, D.M. (1999) Biochemical and Genetic Mechanisms Used by Plant Growth Promoting bacteria. London, Imperial College Press, 267 pp.Google Scholar
Goodman, D. (1982) Optimal life histories, optimal notation, and the value of reproductive value. The American Naturalist 119, 803823.Google Scholar
Gulser, F., Sonmez, F. & Boysan, S. (2010) Effects of calcium nitrate and humic acid on pepper seedling growth under saline condition. Journal of Environmental Biology 31(5), 873876.Google Scholar
Halkier, B.A. & Gershenzon, J. (2006) Biology and biochemistry of glucosinolates. Annual review of plant biology 57, 303333.Google Scholar
Hanafi, A., Traore, M., Schnitzler, W.H. & Woitke, M. (2007) Induced resistance of tomato to whiteflies and phytium with the PGPR Bacillus subtilis in a soilless crop grown under greenhouse conditions. pp. 315322 in Hanafi, A. & Schnitzler, W.H. (Eds) Proceedings of VIIIth IS on Protected Cultivation in Mild Winter Climates, vol. 747. Acta horticulturae, Morocco.Google Scholar
Hanafy Ahmed, A.H., Nesiem, M.R., Hewedy, A.M. & Sallam, H.El-S. (2010) Effect of simulation compounds on growth, yield and chemical composition of snap bean plants grown under calcareous soil conditions. Journal of American Science 6, 552569.Google Scholar
Havlíčková, H. (1995) Some characteristics of flag leaves of two winter-wheat cultivars infested by rose-grain aphid, Metopolophium dirhodum (Walker). Journal of Plant Diseases and Protection 102, 530535.Google Scholar
Hesler, L.S. & Tharp, C.I. (2005) Antibiosis and antixenosis to Rhopalosiphum padi among triticale accessions. Euphytica 143, 153160.Google Scholar
Hondo, T., Yoshida, K., Nakagawa, A., Kawai, T., Tamura, H. & Goto, T. (1992) Structural basis of blue-color development in flower petals from Commelina communis. Nature 358, 515518.Google Scholar
Hosseini, P. (2014). Effects of vermicompost, PGPR, humic and nitrogen fertilizers on population growth of cotton aphid, Aphis gossypii (Glover) (Hemiptera: Aphididae). Dissertation, University of Mohaghegh Ardabili, Iran. (In Persian with English abstract).Google Scholar
Huang, Y.B. & Chi, H. (2012) Assessing the application of the jackknife and bootstrap techniques to the estimation of the variability of the net reproductive rate and gross reproductive rate: a case study in Bactrocera cucurbitae (Coquillett) (Diptera: Tephritidae). Journal of Agriculture and Forestry 61, 3745.Google Scholar
Ishida, M., Kakizaki, T., Ohara, T. & Morimitsu, Y. (2011) Development of a simple and rapid extraction method of glucosinolates from radish roots. Breeding Science 61, 208211.Google Scholar
Jezek, J., Haggett, B.G.D., Atkinson, A. & Rawson, D.M. (1999) Determination of glucosinolates using their alkaline degradation and reaction with ferricyanide. Journal of Agricultural and Food Chemistry 47, 46694674.Google Scholar
Keel, C. & Maurhofer, M. (2009) Insecticidal activity in biocontrol pseudomonads. p. 51 in Weller, D., Thomashow, L., Loper, J., Paulitz, T., Mazzola, M., Mavrodi, D., Landa, B.B. & Thompson, J. (Eds) 8th International PGPR Workshop in Portland, Oregon, USA, 17–22 May 2009. 51pp. Available online at www.capps.wsu.edu/pgpr.Google Scholar
Kelm, M. & Gadomski, H. (1995) Occurrence and harmfulness of the cabbage aphid, Brevicoryne brassicae (L.) on winter rape. Materially Sesji Institutes Ochrony Roslin 5, 101103.Google Scholar
Krizek, D.T., Brita, S.J. & Mirecki, R.M. (1998) Inhibitory effects of ambient level of solar UV-A and UV-B on growth of cv. New Red Fire lettuce. Physiologia Plantarum 103, 17.Google Scholar
Labana, K.S., Ahjua, K.L., Gupta, M.L. & Brar, K.S. (1983) Preliminary studies on chemical basis of resistance in Brassica species to mustard aphid (Lipaphis erysimi). pp. 11321142 in Proceedings of the 6th International Rapeseed Conference, Paris.Google Scholar
Lammerink, J., MacGibhon, D.B. & Wallace, A.R. (1984) Effect of the cabbage aphid (Brevicoryne brassicae) on total glucosinolate in the seed of oilseed rape (Brassica napus). New Zealand Journal of Agricultural Research 27, 8992.Google Scholar
Liu, Z., Li, D., Gong, P.Y. & Wu, K.J. (2004) Life table studies of the cotton bollworm, Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae), on different host plants. Environmental Entomology 33, 15701576.Google Scholar
Malik, R.S., Anand, I.J. & Srinivasachar, D. (1983) Effects of glucosinolates in relation to aphid [lipaphis erysimi] fecundity in crucifers. International Journal of Tropical Agriculture 1, 273278.Google Scholar
Mardani-Talaee, M., Nouri-Ganblani, G., Razmjou, J., Hassanpour, M., Naseri, B. & Asgharzadeh, A. (2016) Effects of chemical, organic and bio-Fertilizers on some secondary metabolites in the leaves of bell Pepper (Capsicum annuum) and their impact on life table parameters of Myzus persicae (Hemiptera: Aphididae). Journal of Economic Entomology 109, 472477.Google Scholar
Mardani-Talaee, M., Razmjou, J., Nouri-Ganbalani, G., Hassanpour, M. & Naseri, B. (2017) Impact of chemical, organic and bio-fertilizers application on bell pepper, Capsicum annuum L. and biological parameters of Myzus persicae (Sulzer) (Hem.: Aphididae). Neotropical Entomology 46, 578586.Google Scholar
Meena, B., Radhajeyalakshmi, R., Marimuthu, T., Vidhyasekaran, P., Doraiswamy, S. & Velazhahan, R. (2000) Induction of pathogenesis-related proteins, phenolics and phenylalanine ammonia-lyase in groundnut by Pseudomonas fluorescens. Journal of Plant Diseases and Protection 107, 514527.Google Scholar
Mohamadi, P., Razmjou, J., Naseri, B. & Hassanpour, M. (2017) Population growth parameters of Tuta absoluta (Lepidoptera: Gelechiidae) on tomato plant using organic substrate and biofertilizers. Journal of Insect Science 17(2), 17.Google Scholar
Møller, P., Ploger, A. & Sørensen, H. (1985) Quantitative analysis of total glucosinolate content in concentrated extracts from double low rapeseed by the Pd-glucosinolate complex method. pp. 97110 in Sørensen, H. (Eds) Advances in the Production and Utilization of Cruciferous Crop. Dordrecht, Martinus Nijhoff/DR W. Junk Publishers.Google Scholar
Nardi, S., Arnoldi, G. & Dell'Agnola, G. (1988) Release of the hormone-like activities from Allolobophora rosea and A. caliginosa faeces. Canadian Journal of Soil Science 68, 563567.Google Scholar
Nardi, S., Pizzeghello, D., Schiavon, M. & Ertani, A. (2015) Plant biostimulants: physiological responses induced by protein hydrolyzed-based products and humic substances in plant metabolism. Scientia Agricola 73, 1823.Google Scholar
Pineda, A., Zheng, S.J., Van Loon, J.A., Pieterse, M.J. & Dicke, M. (2010) Helping plants to deal with insects: the role of beneficial soil-borne microbes. Trends in Plant Science 15, 507514.Google Scholar
Pizzeghello, D., Francioso, O., Ertani, A., Muscolo, A. & Nardi, S. (2013) Isopentenyladenosine and cytokinin-like activity of four humic substances. Journal of Geochemical Exploration 129, 7075.Google Scholar
Qingwen, Z., Ping, L., Gang, W. & Qingnian, C. (1998) The biochemical mechanism of induced resistance of cotton to cotton bollworm by cutting of young seedling at plumular axis. Acta Phytopathologica Sinica 25, 209212.Google Scholar
Rajendran, L., Samiyappan, R., Raguchander, T. & Saravanakumar, D. (2007) Endophytic bacteria mediate plant resistance against cotton bollworm. Journal of Plant Interactions 2, 110.Google Scholar
Rashid, M.H. & Chung, Y.R. (2017) Induction of systemic resistance against Insect herbivores in plants by beneficial soil Microbes. Frontiers in Plant Science 8, 1816.Google Scholar
Reddy, G.V.P. (2017) Integrated Management of Insect Pests on Canola and Other Brassica Oilseed Crops. Wallingford, Oxfordshire, UK, CABI, 394 pp.Google Scholar
Ronald, S.F. & Laima, S.K. (1999) Phenolics and Cold Tolerance of Brassica napus. Ontario, Department of Plant Agriculture.Google Scholar
Sandström, J., Telang, A. & Moran, N.A. (2000) Nutritional enhancement of host plants by aphids – a comparison of three aphid species on grasses. Journal of Insect Physiology 46, 3340.Google Scholar
Scheuerell, S.J. & Mahaffee, W.F. (2004) Compost tea as a container medium drench for suppressing seedling damping-off caused by Pythium ultimum. Phytopathology 94, 11561163.Google Scholar
Smith, C.M. (1989) Plant Resistance to Insects, A Fundamental Approach. New York, John Wiley and Sons Ltd, 286 pp.Google Scholar
Southwood, T.R.E. & Henderson, P.A. (2000) Ecological Methods. Oxford, UK, Blackwell Science, 592 pp.Google Scholar
SPSS (2015) SPSS 22.0 for Windows. Chicago, IL, SPSS Inc.Google Scholar
Tjallingii, W.F. (1976) A preliminary study of host selection and acceptance behaviour in the cabbage aphid, Brevicoryne brassicae (L.). Symposia Biologica Hungarica 16, 283285.Google Scholar
Tsunoda, R.T. (1980) Backscatter measurements of 11-cm equatorial spread-F irregularities. Geophysical Research Letters 7(10), 848850.Google Scholar
van Emden, H.F. (1995) Host plant-aphidophaga interactions. Agriculture, Ecosystems & Environment 52, 311.Google Scholar
Verkerk, R.H.J., Neugebauer, K.R., Ellis, P.R. & Wright, D.J. (1998). Aphids on cabbage: tritrophic and selective insecticide interactions. Bulletin of Entomological Research 88, 343349.Google Scholar
Wójcicka, A. (2010) Cereal phenolic compounds as biopesticides of cereal aphids. Polish Journal of Environmental Studies 19, 13371343.Google Scholar
Yildirim, E.M. & Unay, A. (2011) Effects of different fertilizations on Liriomyza trifolii (Burgess) (Diptera: Agromyzidae) in tomato. African Journal of Agricultural Research 6, 41044107.Google Scholar
Zebelo, S., Song, Y., Kloepper, J.W. & Fadamiro, H. (2016) Rhizobacteria activates ( + )-δ-cadinene synthase genes and induces systemic resistance in cotton against beet armyworm (Spodoptera exigua). Plant, Cell & Environment 39, 935943.Google Scholar
Zehnder, G., Kloepper, J., Yao, C. & Wei., G. (1997) Induction of systemic resistance in cucumber against cucumber beetles (Coleoptera: Chrysomelidae) by plant growth promoting rhizobacteria. Journal of Economic Entomology 90, 391396.Google Scholar
Figure 0

Table 1. Mean (±SE) nymph period, adult longevity, reproductive period and fecundity of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

Figure 1

Fig. 1. Age-stage specific survival rate (sxj) of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

Figure 2

Fig. 2. Age-specific survival rate (lx), female age-specific fecundity (fx2), age-specific fecundity (mx), and age-specific maternity (lxmx) of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

Figure 3

Fig. 3. Age-stage reproductive value (Vxj) of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

Figure 4

Fig. 4. Age-stage specific life expectancy (exj) of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

Figure 5

Table 2. Mean (±SE) life table parameters of Brevicoryne brassicae L. on canola plants treated with humic acid and PGPR.

Figure 6

Table 3. The mean (±SE) percentage reduction of growth parameters in aphid-infested canola plants treated with humic acid and PGPR.

Figure 7

Table 4. The mean (±SE) amount of total Glucosinolate, total phenol, and flavonoids in aphid-infested leaves of canola plants treated with humic acid and PGPR.