Agricultural Reviews

  • Chief EditorPradeep K. Sharma

  • Print ISSN 0253-1496

  • Online ISSN 0976-0741

  • NAAS Rating 4.84

Frequency :
Bi-monthly (February, April, June, August, October & December)
Indexing Services :
AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus

Study of Soybean Germplasms on Biochemical Basis of Resistance against Spodoptera litura (Fabricius)

Khaba Moirangthem1,*, Renu Pandey1, Sudha Mathpal1
1Department of Entomology, G.B. Pant University of Agriculture and Technology, Pantnagar-263 145, Uttarakhand, India.

Background: Soybean, Glycine max (L.) Merr. is an important kharif crop and affected by a number of insect pests which directly or indirectly reduces the yield. To increase the yield, the infestation by insect pest should be managed. Spodoptera litura is considered as one of the major pests of soybean crop and damages soybean to a very extent. Cultivation of insect resistant soybean can be the best technique for pest management program.

Methods: No choice experiment test was carried out to calculate the mean leaf area consumption of Spodoptera litura and the biochemical analysis is carried out for phenols, flavonoids and tannins. The correlation was studied between the mean leaf area consumption and the contents of phenols, flavonoids and tannins.

Result: The biochemical compounds show negative correlation with the mean leaf area consumption of S. litura in different soybean germplasms. The data shows that germplasms like DLSb1, PS 26 and JS 22-16 have high phenols, flavonoids and tannins which in turn shows high resistant against S. litura.

Soybean [Glycine max (L.) Merill] is one of the most important oilseed crops in the world which was originated in China. The protein content in soybean is high (32-35 per cent) (Mishra et al., 2020); well-balanced with vital amino acids like Arginine and Lysine and the oil content is rich (18-22 per cent) in polyunsaturated fatty acids. Additionally, it offers vitamin B-complex like thiamine (11 mg/g) and riboflavin (34 mg/g), as well as minerals like calcium, phosphorus, and others, to meet human nutritional needs (Ahirwar et al., 2014). Insect pests cause more than 25 per cent  of production losses (Harish et al., 2009; Mathpal et al., 2022). The most devastating insect pests of soybean include various foliage feeders, stem borers, gram pod borer and stink bugs.
       
In India, the polyphagous insect, tobacco caterpillar, Spodoptera litura (Fabricius), is known to cause serious damage to a variety of crops, including tobacco and groundnuts (Moussa et al., 1960; Ayyanna et al., 1982). Fabricius reported it for the first time in 1775. It is one of the most devastating pests of agricultural crops and feeds on a variety of plants, including soybean. It is the main defoliating pest and is accountable for up to 68% of the production loss among the insect pests that attack soybean from early growth stage till harvest time (Bayu et al., 2017).
       
Plant crude extract contains novel secondary metabolites like phenolic acid, flavonoid, alkaloid and terpenoid, momilactone, jasmonate, glucosinolate, hydroxamic acid, brassinosteriods, amino acids and carbohydrates that are primarily to blame for the inhibition of insect growth and development (Adaramola et al., 2016). Similarly, these biochemical compounds impart resistant on the plant from the insect pests since, insect digestive enzymes may be impacted by allelochemicals such phenolics or their oxidation products (Woodhead, 1981).
       
The overall aim of the present study is to identify the resistant and susceptible germplasm on biochemical basis against S. litura and also to study the correlation of some biochemicals with mean leaf area consumption of S. litura in different soybean germplasms.
The experiments were carried out in G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand during Kharif-2022.
 
Plant material in field
 
Fourteen soybean germplasms (DLSb1, JS 22-12, JS 22-16, JS 22-18, KDS 1096, PS 1092, PS 1225, PS 1569, PS 1670, PS 23, PS 24, PS 25, PS 26 and RSC 11-35) with susceptible check variety (JS-335) were screened in Norman E. Borlaug Crop Research Centre (NEBCRC), G.B.P.U.A.T. Pantnagar, Udham Singh Nagar during Kharif season of 2022 and in soybean entomology laboratory at Department of Entomology, G.B.P.U.A.T. Pantnagar, Udham Singh Nagar for the resistance against S. litura. Soybean germplasms were planted in 3 replications by using randomized block designs (RBD).
 
Insect material and determination of resistance through feeding assays
 
Egg mass of S. litura was collected from Norman E. Borlaug Crop Research Centre, GBPUAT Pantnagar during kharif 2022 and then it was kept in a plastic jar (12x6 cm). After hatching castor leaves were provided as food and the culture was maintained in the laboratory (27±1oC and 65±5% RH). Third instar larvae were used for the experiment. The study was performed through non-choice test by using Completely Randomized Design (CRD). For these assays fresh and matured leaves soybean were plucked, washed and after drying cut the leaf disc.
 
No-choice test
 
The leaf discs were kept separately in the centre of sterilized petri-plates and pre-starved (3 hours) larvae were released in each petri-plate and allowed to feed. All treatments were replicated 3 times along with the control. The leaf area consumed by larvae after 8 hours was measured using graph sheet.
 
Biochemical analysis
 
The phenol content in the soybean leaf sample was estimated as per the method developed by (Malick and Singh, 1980), estimation of total flavonoids in the soybean was done as per the method developed by (Zhishen et al., 1999) and estimation of tannins in the soybean leaf samples was done as per the method developed by (Burns, 1971).
 
Data analysis
 
The data obtained from field was statistically analysed using SPSS software. The data including MLAC, phenol content, flavonoid content and tannin content were transformed then subjected to analysis of variance. The simple correlation values were also calculated.
Mean leaf area consumption (MLAC) of S. litura in different soybean germplasm
 
The values of MLAC in each treatment were ranged from 0.16 cm² (JS 22-16) to 1.34 cm2 (KDS 1096). The highest consumption was found in germplasm KDS 1096 (1.34 cm2) among all which may be due to the reason that it might be more preferable than the susceptible check JSS-335. Apart from KDS 1096 (1.34 cm2), three germplasms namely PS 1569 (1.32 cm2), PS 23 (1.13 cm2) and PS 1092 (1.29 cm2) showed higher mean leaf area consumption than the susceptible check JS-335 (1.11 cm²) while the lowest consumption was found on JS 22-16 (0.16 cm³) followed by PS 26 (0.19 cm²), PS 25 (0.22 cm³) as given in (Table 1).

Table 1: Mean leaf area consumption (MLAC) of different soybean germplasm along with susceptible check (JS-335) by S. litura.


       
From this experiment, it was concluded that the germplasms which have high MLAC are preferably the susceptible germplasms since the larvae of S. litura preferred and fed on it. The results were in partial agreement with Gaur et al., (2018) where different soybean germplasms were screened and the results shows that higher MLAC is observed in the more susceptible germplasms. Similarly, Boica Junior et al. (2015) also reported that the susceptible germplasms have higher MLAC against the pest and it creates difference in consumption by pest. In another study by Mathpal et al., (2022), it was found that the larvae feed on those germplasms which were highly preferable while they only took a taste bite or feed very less on the undesirable germplasm.
 
Estimation of total phenol content in methanol leaf extract of different soybean germplasms
 
In this experiment, the total phenol content was determined through the Folin-Ciocalteu method and expressed as milligram per gram extract. In methanol leaf extract of soybean, the phenol content varied from 3.162 to 4.596 mg/gm of leave extract. The highest phenolic content was found in PS 26 (4.596 mg/gm) followed by JS 22-16 (4.565 mg/gm) and PS 25 (4.542 mg/gm) whereas, the lowest total phenolic content was recorded in germplasm namely KDS 1096 (3.162 mg/gm) followed by PS 1225 (3.365 mg/gm) over the susceptible check JS-335 (3.585 mg/gm). The rest of the germplasms namely DLSb1, JS 22-12, JS 22-18, PS 1569, PS 1670, RSC 11-35, PS 23, PS 24 and PS 1092 showed a range of phenol content from 4.442 mg/gm to 3.592 mg/gm (Table 2).

Table 2: Estimation of total phenol from methanol leaf extract of soybean germplasms.


       
From the above finding, it was revealed that the germplasms which contain high phenol compound namely JS 22-16, PS 25 and PS 26 are categorized as antifeedant in no choice feeding experiment and less preferred by S. litura. Whereas, the germplasms having less phenol content in their leaf extract namely KDS 1096 and PS 1225 were highly preferred by S. litura during the no-choice feeding experiment (Table 2).
       
The above results were in accordance with the findings of Summers and Felton (1994) who reported that phenolic compounds induce the oxidative stress and provide resistance to herbivorous insects such as Helicoverpa zea. Quettier-Deleur et al. (2000) extracted and evaluated the phenols from the seeds of Fagopyrum esculentum which provide therapeutic effects and they stated that phenolic content is directly related to their antioxidant properties which deter the feeding behaviour in insects.
 
Estimation of total flavonoid content in methanol leaf extract of different soybean germplasms
 
Total flavonoid content was estimated through methanol leaf extract of soybean germplasm and expressed as milligram (mg) per gram. The variation in the range of flavonoid compound was found between 0.827 to 1.947 mg/gm. Highest content of flavonoid compound was found on DLSb1 (1.947 mg/gm) followed by PS 26 (1.767 mg /gm) and PS 23 (1.547 mg/gm) while, the lowest flavonoid content was found on KDS 1096 (0.827 mg/gm) followed by PS 1225 (0.897 mg/gm), JS 22-18 (1.047 mg/gm), PS 1569 (1.107 mg/gm) and JS 22-12 (1.147 mg/gm) over the susceptible check namely JS-335 (1.177 mg /gm). On the other hand, germplasms other than the above namely JS 22-16, PS 1670, RSC 11-35, PS 24, PS 25 and PS 1092 ranges from 1.277 to 1.547 mg/gm (Table 3).

Table 3: Estimation of total flavonoid content from methanol leaf extract of soybean germplasms.


       
From the above result, it was found that the germplasms that possess high content of flavonoid also having high content of phenol can be categorised as extremely antifeedant germplasms on the basis of no choice feeding experiment which were JS 22-16 and PS 26. Germplasms namely KDS 1096 had lowest level of flavonoid as well as phenol. Therefore, it can be categorised as highly preferred over susceptible check.
       
Similar results were observed by Elliiger et al. (1980) who evaluated flavonoid compound and their role in conferring resistance against the insect pest attack. They worked on the flavonoid compound of maize plant against Heliothis zea (corn earworm) and found that these compounds inhibit the attack of pest. Similarly, Hedin et al., (1988) also found out that the flavonoids affect the behaviour, development and growth of a number of insects. According to Rehman et al. (2018) flavonoids are specific plant secondary metabolites that are mainly concerned with antiherbivore activity in soybean seed.
 
Estimation of tannin content in methanol leaf extract of different soybean germplasms
 
From the experiment conducted, it was estimated that the tannin content in different soybean germplasm through methanol leaf extract of soybean and expressed as milligram (mg) per gram. The variation in the range of tannin compound was found between 0.093 to 0.228 mg/gm. Highest content of tannin was found on DLSb1 (0.228 mg/gm) followed by PS 26 (0.178 mg/gm) and PS 24 (0.157 mg/gm) while, the lowest tannin content was found on PS 1225 (0.093 mg/gm) followed by KDS 1096 (0.096 mg/gm), PS 1569 (0.108 mg/gm), JS 22-12 (0.121 mg/gm), PS 1670 (0.126 mg/gm) and JS 22-18 (0.128 mg/gm) over the susceptible check namely JS-335 (0.130 mg/gm). On the other hand, germplasms other than the above namely JS 22-16, RSC 11-35, PS 23, PS 25 and PS 1092 ranges from 0.137 mg/gm to 0.157 mg/gm (Table 4).

Table 4: Estimation of total tannin content from methanol leaf extract of soybean germplasms.


       
From the above result, it was found that the germplasms that possess high content of tannin also having high content of phenol and flavonoid can be categorised as extremely antifeedant germplasms on the basis of no choice feeding experiment which were DLSb1, JS 22-16 and PS 26. Germplasms namely KDS 1096 and PS 1225 had lowest level of tannin as well as low phenol and flavonoid. Therefore, it can be categorised as highly preferred over susceptible check.
       
According to Nomura and Itioka (2002), the amount of tannin consumed had a direct correlation with how much the cutworm larvae’s growth was hindered by tannin. They concluded that plant tannin acts as a generalist herbivore defense agent and its effects are proportionate to its concentration in leaves and it is in accordance with the result as presented in the (Table 4). Similarly, Liu et al., (2010), observed that that tannic acid had a detrimental impact on newly hatched larvae, inhibiting pupae weight, pupation process, and emerging process. The mortality of the larvae also increased with higher tannic acid doses and longer treatment periods. The genotypes which contain lower amounts of tannins are more susceptible against Spodoptera littoralis as compared with the ones with higher amount of tannin (Mohamed et al., 2021).
       
The correlation between mean leaf area consumption by S. litura and the biochemical compounds (phenol, flavonoids and tannin) content of methanol leaf extract was evaluated and it was found that the MLAC had highly significant negative correlation with phenol (0.951) as well as flavonoid (0.664) and tannin (0.715) content of soybean germplasms (Table 5). These results showed that the biochemical compound present in the leaves of soybean germplasms inhibit the feeding of S. litura and aid in the host plant resistance as total polyphenolic concentration was highest in PS 26 followed by DLSb1 then JS 22-16 while the lowest polyphenolics were present in KDS 1096 followed by PS 1225. The susceptible check JS 335 also had low biochemical compounds which suggested that germplasms having high polyphenolic content have greater resistance towards S. litura than those with less concentration of these compounds.

Table 5: Correlation between biochemical compounds of soybean germplasm and MLAC by S. litura.

The biochemical analysis of soybean germplasms against S. litura revealed that the germplasms namely PS 26 (4.596 mg/gm) and JS 22-16 (4.565 mg/gm) contain high phenol compound and KDS 1096 (3.162 mg/gm) and PS 1225 (3.365 mg/gm) contain low phenol content. In case of flavonoid content, DLSb1 (1.947 mg/gm) and PS 26 (1.767 mg/gm) have highest content while KDS 1096 (0.827 mg/gm) and KDS 1096 (0.827 mg/gm) and PS 1225 (0.897 mg/gm) have lowest content. Germplasms namely DLSb1 (0.228 mg/gm) and PS 26 (0.178 mg/gm) contain high tannin content and PS 1225 (0.093 mg/gm) and KDS 1096 (0.096 mg/gm) contain low tannin content. The correlation studies between mean leaf area consumption by S. litura and the biochemical contents (phenol, flavonoid and tannin) showed that the MLAC has highly significant negative correlation with phenol (-0.951), flavonoid (-0.664) and tannin (0.715) content of soybean germplasms.
The authors are thankful to Govind Ballabh Pant University of Agriculture and Technology for providing all the necessary facilities for conducting the experiment. I also extent my heartful thanks to Late Dr. Neeta Gaur for her guidance and support.
 
Disclaimers
 
The views and conclusions expressed in this article are solely those of the authors and do not necessarily represent the views of their affiliated institutions. The authors are responsible for the accuracy and completeness of the information provided, but do not accept any liability for any direct or indirect losses resulting from the use of this content.
 
Informed consent
 
All animal procedures for experiments were approved by the Committee of Experimental Animal care and handling techniques were approved by the University of Animal Care Committee.
 
The authors declare that there are no conflicts of interest regarding the publication of this article. No funding or sponsorship influenced the design of the study, data collection, analysis, decision to publish, or preparation of the manuscript.

  1. Adaramola, B. Onigbinde, A. and Shokunbi, O. (2016). Physiochemical properties and antioxidant potential of persea americana seed oil. Chem. Int. 2(1): 168-175.

  2. Ahirwar, K.C. Marabi, R.S. and Bhowmick, A.K. (2014). Population dynamics of major insect pests and seed yield of soybean.  Ann. Plant Sci. 22(1): 56-59.

  3. Ayyanna, T. Arjuna, R.P. Subba, R.G.V. Krishna, M.B.H. and Narayana, K.L. (1982). Chemical control of spodoptera litura (F.) on groundnut crop. Pesticides. 16(2): 19-20.

  4. Bayu, M.S.Y. Krisnawati, A. and Adie, M.M. (2017). Response of soybean genotypes against armyworm, spodoptera litura based on no-choice test. In: International Symposium on Food and Agro-biodiversity (ISFA), IOP Conf. Series: Earth and Environmental Science at Indonesia, during. November 13-18. pp. 102-108.

  5. Boica Junior, A.L. De Souza, B.H.S. Costa, E.N. Ribeiro, Z.L. and Stout, M.J. (2015). Factors influencing expression of antixenosis in soy bean to anticarsia gemmatalis and spodoptera frugiperda (Lepidoptera: Noctuidae). Journal of Economic Entomology. 108: 317-325.

  6. Burns, R.E. (1971). Method for estimation of tannin in grain sorghum.  J. Agron. 63(3): 511-512.

  7. Elliiger, C.A. Chan, B.C. and Waiss Jr. A.C. (1980). Flavonoids as larval growth inhibitors. Phytochem. 19(1): 293-295.

  8. Gaur, N., Kohli, P., Devrani, A., Rukesh Pramod, K.N. and Pandey, R. (2018). Laboratory studies on antibiosis and antixenotic  effect of soybean Glycine max (L.) Merrill. against Spilarctia obliqua (Walker). Journal of Entomology and Zoology Studies. 6(2): 663-668.

  9. Harish, H. Patil R.H. and Patil, P.V. (2009). Identification of resistant sources to major defoliator pests of soybean. J. Agric. Sci. 22(2): 215-219.

  10. Hedin, P.A. Jenkins, J.N. Thompson, A.C. McCarty, J.C. Smith, D.H.  Parrott, W.L. and Shepherd, R.L. (1988). Effects of bioregulators on flavonoids, insect resistance and yield of seed cotton. J. Agric. Food Chem. 36(1): 1055-1061.

  11. Liu, W. Xue, C. Zhang, J. Yu, J. and Luo, W. (2010). Inhibitory effect of tannic acid on growth, development and phenoloxidase activity of spodoptera exigua larva. J. Plant Resour. Environ. 19(1): 32-37. 

  12. Malick, C.P. and Singh M.B. (1980). Plant Enzymology and Histo  Enzymology. Kalyani Publication, New Delhi. 286 p.

  13. Mathpal, S. Gaur, N. and Joshi, R. (2022). Screening of soybean germplasm against Spodoptera litura (Fab.) for the expression of antixenosis resistance through seasonal incidence and dual-feeding assay. Legume Research. 47(2): 291-297. doi: 10.18805/LR-4916.

  14. Mishra, N. Tripathi, M.K. Tiwari, S. Tripathi, N. and Trivedi, H.K. (2020). Morphological and molecular screening of soybean  genotypes against yellow mosaic virus disease. Legume  Research. 45(10): 1309-1316. doi: 10.18805/LR-4240.

  15. Mohamed, H.I. Haleem, M.A. Mohamed, N.M. Ashry, N.A. Zaky, L.M. and Mogazy, A.M. (2021). Comparative effectiveness of potential elicitors of soybean plant resistance against spodoptera littoralis and their effects on secondary metabolites and antioxidant defense system. Gesunde Pflanzen. 73(3): 273-285.

  16. Moussa, M.A. Zaher, M.A. and Kotby, F. (1960). Abundance of the cotton leaf worm, Prodenia litura (F.) in relation to host plants. Host plants and their effect on biology (Lepidoptera:  Agrotidae). Bull. Soc. Entomol. Egypti. 44(3): 241-251.

  17. Nomura, M. and Itioka, T. (2002). Effects of synthesized tannin on the growth and survival of a generalist herbivorous insect, the common cutworm, Spodoptera litura Fabricius (Lepidoptera: Noctuidae). Appl. Entomol. Zool. 37(2): 285-289.

  18. Quettier-Deleur, C. Gressier, B. Vasseur, J. Dine, T. Brunet, C. Luyckx,  M. Cazin, M. Cazin, J.C. Bailleul, F. and Trotin, F. (2000).  Phenolic compounds and antioxidant activities of buckwheat  (Fagopyrum esculentum Moench) hulls and flour. J.  Ethnopharmacol. 72(1): 35-42. 

  19. Rehman, H.M. Nawaz, M.A. Shah, Z.H. Chung, G. and Yang, S.H. (2018). Molecular elucidation of two novel seed specific flavonoid glycosyl transferases. Soybean. J. Plant Biol. 61(1):320-329.

  20. Sharma, A. Tripathi, M.K. Tiwari S. Gupta N. Tripathi, N. and Mishra, N. (2021). Evaluation of soybean (Glycine max L.) genotypes    on the basis of biochemical contents and anti-oxidant enzyme activities. Legume Research. 44(12): 1419-1429. doi: 10.18805/LR-4678.

  21. Summers, G.W. and Felton. (1994). Pro oxidant effects of phenolic acids on the generalist herbivore Helicoverpa zea (Lepidoptera: Noctuidae): Potential mode of action for phenolic compounds in plant anti-herbivore chemistry. Insect Biochem. Molec. Biol. 24(9): 943-953.

  22. Woodhead, S. (1981). Environmental and biotic factors affecting the phenolic content of different cultivars of Sorghum bicolor. J. Chem. Ecol. 7(1): 1035-1047.

  23. Zhishen, J. Mengcheng, T. and Jianming, W. (1999). The determination of flavonoid contents in mulberry and their scavenging  effects on superoxide radicals. Food Chem. 64(4): 555- 559.

Editorial Board

View all (0)