Research Article | Volume: 9, Issue: 5, September, 2021

Growth and yield performance of mutant ginger (Zingiber officinale Rosc.) lines in South-Eastern Nigeria

Mary N. Abua Godfrey A. Iwo Macauley A. Ittah Ekemini E. Obok Richmond E. Edugbo   

Open Access   

Published:  Sep 01, 2021

DOI: 10.7324/JABB.2021.9516

A field evaluation on growth and yield performances of 15 mutant lines and two landraces of Zingiber officinale (Rosc.) was conducted in Cross River State, Nigeria, in 2016 and 2017. The experiment was laid out in a Randomized Complete Block Design (RCBD) with three replications in each of the three locations, Calabar, Ikom, and Ogoja. Combined analysis of variance showed significant (p < 0.05) growth and yield differences among the 17 ginger genotypes. Nine mutant lines, UG1-5-04, UG1-5-35, UG2-9-01, UG1-13-02, UG1-7-24, UG1-5-38, UG1-5-31, UG2-11-03, and UG1-5-18, had to buy soma superior rhizome yield ranging from 18.44 to 22.06 t/ ha and were significantly different (p > 0.05) from the two landraces, UG1 (14.39 t/ha) and UG2 (14.72 t/ha). Mutant UG2-9-01 had the highest average number of rhizomes per plant (21.44) and the longest rhizomes (20.46 cm). Mutant UG1-5-04 had the highest total rhizome yield per hectare (22.06 t/ha). The overall performance of the nine mutant ginger lines across the 2 years was superior and similar (p < 0.05) in Ogoja and Ikom locations in comparison with Calabar location. The two locations where to buy soma,Ikom and Ogoja, were recommended as the most suitable environments for the cultivation of the nine promising mutant lines of ginger in Cross River State.

Keyword:     Gamma-ray ginger irradiation landraces rhizome mutation spices


Abua MN, Iwo GA, Ittah MA, Obok EE, Edugbo RE. Growth and yield performance of mutant ginger (Zingiber officinale Rosc.) lines in South-Eastern Nigeria. J Appl Biol Biotech, 2021;9(05):110–123.

Copyright: Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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The dependence of humans on plants to survive or to treat has been inevitable in the long history of humanity on this planet, as shown by comprehensive documentation. Also, now, plants play an important part in the healthcare system as a treasure for bioactive compounds. The scientific community’s dedication to conserving natural treasures has risen as never before, and the current trend is to create sustainable and reliable solutions to prevent overexploitation by providing target-specific treatment/isolation of compounds. The concept of distinguishing chemical entities from plants spawned a modern branch of science known as ethnopharmacology, which seeks to separate possible lead drugs from medicinally important plants [1]. Initially, pharmacological researchers in search of new bioactive compounds faced significant technological difficulties in extracting, isolating, and characterizing the compounds. Despite significant obstacles, researchers have been able to address methodological difficulties in characterizing plant metabolites from chemically diverged complex crude mixtures by continuing to work on studying the complex chemistry in plants. This was made possible by researchers advocating for the use of liquid chromatography–mass spectrometry techniques for untargeted phytochemical profiling in recent years [25]. Because of its accuracy, sensitivity, speed, and specificity, the ability of liquid chromatography with tandem mass spectrometry to couple with other chromatographic techniques provides many advantages in studying and characterizing the phytoconstituents of medicinal plants. Furthermore, advances in computational bioinformatics techniques and the development of online metabolite databases have made detection easier to an extent but with its limitations [6,7]. Plant metabolite characterization using chromatographic methods has advanced in recent decades, contributing significantly to the cataloging of a large number of metabolites from pharmacologically relevant plants. However, there is still a need to use chromatographic-based chemical fingerprinting extensively for a number of medicinally significant plants that have remained unidentified due to traditional extraction and identification procedures.

The current research is one such approach to cataloging and validating the chemical constituents of Myristica dactyloides bioactive potentials. It is a prominent member of the Myristicaceae family, native to India and Sri Lanka, with 18–21 genera and nearly 300–520 species [8,9]. It is listed as vulnerable by the International Union for Conservation of Nature due to its widespread use and exploitation for its wide range of medicinal benefits. Coughs, bronchitis, fever, burning sensations, inflammation of joints, skin disorders, wounds, sleeplessness, indigestion, liver disorders, and worms are all treated with arils [10]. Bark and leaves are used in Ayurvedic preparations and decoctions to treat throat ailments [11]. Various researchers around the world have explored the chemistry and bioactive potentials of a similar species, Myristica fragrans [12]. Despite having the similar pharmacological potential to M. fragrans, M. dactyloides has remained unexplored except for a few early attempts [1317]. In these reports, Myoinositol, Malabaricone A, B, C, D, Dactyloidin, Acylresorcinols, Arylalkanones, and Lignans were found in various parts of the M. dactyloides Gaertn.

With this background, the present investigation was carried out to catalog the chemical constituents of M. dactyloides using Ultra high-performance liquid chromatography coupled to electrospray ionization and quadrupole time-of-flight mass spectrometry (UHPLC-ESI-QTOF-MS) analysis and to validate their pharmacological significance through in-vitro assays in the context of M. dactyloides extracts anti-inflammatory potential. The study emphasizes the importance of early metabolite identification in crude extracts to prevent redundancy in the characterization of new bioactive compounds in drug discovery process.


2.1. Chemicals and Reagents

All the solvents used for the extraction of plant materials were of analytical grade and hydrochloric acid was procured from Sisco Research Laboratory (Mumbai, India). Reagents, enzymes, and positive controls such as 2,2-diphenyl-1-picryl-hydrazyl (DPPH), 2,4,6-tri (2-115 pyridyl)-s-triazine, Quercetin, gallic acid, Ascorbic acid (AC), butylated hydroxytoluene, 15-Lipoxygenase (15-LOX) were purchased from Sigma-Aldrich (St. Louis, MO). Solvents used for high-resolution liquid chromatography-mass spectrometer (HR-LCMS) were of Spectroscopic grade obtained from SD Fine Chemicals Limited (SDFCL; Mumbai, India).

2.2. Collection of Plant Material

Naturally grown healthy leaf and bark samples of M. dactyloides were harvested and collected from the Kigga village (13°24′50.8″N 75°11′01.7″E) located at the Western Ghats region of Karnataka, India, during September month of the monsoon season. A sample specimen of the plant was deposited at the herbarium of the Department of Studies in Botany, University of Mysore, Mysore, India. Plant materials were collected in sterile polythene bags and processed within 12 hours at the laboratory.

2.2.1. Preparation of extracts

The leaf and bark samples were separated, washed under running tap water to reduce undesirable materials, followed by shade drying at room temperature for 5–6 days. The dried leaf and bark samples were ground to a coarse powder using the mechanical grinder and stored at 4°C until further use. The leaves and bark powders were sequentially extracted using 500 ml of solvents with increasing polarity (hexane < chloroform < methanol) by continuous hot percolation method using a Soxhlet apparatus (boiling point, 52°C–62°C) until the solvent became colorless. The solvent extracts were concentrated in a rotary flash evaporator (G1 Heidolph, Germany) under controlled pressure and stored at 4°C before further analysis.

2.3. Phytochemical Analysis

2.3.1. Estimation of total phenolic contents (TPC)

Estimation of the TPC in plant extracts gives an overview of the phenolic compounds which indirectly are responsible for the bioactivity. TPC estimation was carried using the Folin–Ciocalteu reagent method according to Ainsworth and Gillespie [18]. The TPC of samples was estimated based on the standard gallic acid calibration curve with concentrations ranging from 0 to 250 μg/ml. The results were expressed as mg gallic acid equivalents (mg GAEg−1) per 100 g of the sample.

2.3.2. Estimation of total flavonoid contents (TFC)

The TFC were estimated by the aluminum chloride method [19]. Quercetin served as a positive standard and concentrations ranging from 0 to 500 μg/ml were prepared, and the standard calibration curve was developed using a linear fit curve. The results were expressed as mg quercetin equivalents (mg QEg−1) per 100 g of the sample.

2.4. Antioxidant Activity

2.4.1. DPPH radical scavenging

Evaluation of free radical scavenging capacity of the plant extracts was carried out by DPPH method [20]. Briefly, in a 96 well microtiter plate, 10 μl of different solvent extracts and AC were individually added to 95 μl DPPH (300 μM) solution in methanol. The absorbance of the samples was measured at 517 nm (Spectra Max 340PC Multimode plate reader) after the mixture was incubated for 30 minutes in dark at room temperature. The results were expressed as total antioxidant capacity and a dose-dependent curve was plotted to calculate the inhibitory concentration (IC50) value and expressed as mean ± standard deviation (SD) of three independent experiments along with the standard AC. The activity is represented as % radical scavenging calculated with the equation:

% DPPH radical scavenging = (Ac-As)/(Ac )×100

2.4.2. Ferric ion reducing antioxidant power (FRAP) assay

The reducing abilities of different leaf and bark extracts were determined by the FRAP method for the electron-donating ability of antioxidants [21]. An aliquot of 30 μl sample was mixed with 90 μl water and 900 μl FRAP reagent and incubated at 37°C for 30 minutes and the absorbance measures at 593 nm (Beckman Coulter, DU 730 Life Sciences). The calibration curve was generated using known ferrous sulfate contents ranging from 400 to 2,000 μmol and the ferrous ions reduced by the sample were calculated using a regression equation. The antioxidant activity was expressed as the amount of extract required to reduce 1 mmol of ferrous ions.

2.4.3. 15-LOX inhibition assay

Lipoxygenase with their products plays an important role as a mediator of inflammation with series of cellular pro-inflammatory and immune-modulatory responses. Inhibition of this enzyme would regulate the progression of inflammatory response. Evaluation of LOX inhibition was studied by a spectrophotometric assay with Soybean 15-LOX measuring the loss of soybean 15-LOX activity (5 μg) with 0.2 μM linoleic acid (Sigma) as the substrate prepared in a solubilized state in 0.2 M borate buffer (pH 9.0) [20]. Different concentrations of plant extracts were mixed with 15-LOX enzyme and incubated for 2 minutes at room temperature. The substrate was added to the mixture and the absorbance was measured at 243 nm using a UV-Vis spectrophotometer (Beckman Coulter, DU 730 Life Sciences). Values of hydroperoxide content and lipoxygenase activity were calculated from equation,

Specific activity (LOX) = ΔA. V/ε.l.c

where ΔA is the value of absorbance increase per minute, V is the volume of incubation mixture, ε is the extinction coefficient for linoleic acid (25 × 10–3 mol/l/cm), l is the length of the cuvette (1 cm), and c is the concentration of enzyme in mg (0.005).

2.5. High-Resolution Liquid Chromatography-Mass Spectroscopy (HR-LCMS)

Metabolomics analysis was performed using a HR-LCMS, with UHPLC-ESI-QTOF-MS (Agilent Technologies, Santa Clara, CA). MassHunter LC/MS Data Acquisition software (version B.06.01) was used for controlling the instrument and data acquisition. MassHunter Qualitative and Quantitative Analysis software (version B.07.00) was used for data evaluation. All samples were filtered with a 0.2 μm nylon membrane filter before injection.

For the chromatographic separation, Zorbax Eclipse C18, (2.1 × 150 mm 5-micron) column was used with gradient solvent system, (a) water with 0.1% formic acid and (b) acetonitrile with 10% water + 0.1% formic acid (2–20 minutes-A) 95% B 5%, 20–25 minutes (A) 5%, (B) 95%, and 26–30 minutes (A) 95%, (B) 5%) with 0.2 ml minute flow rate with pressure maintained at 1,200 bar. The mass spectral data were acquired in electrospray in positive mode. The capillary voltage, source cone voltage, and extraction cone voltage were maintained at 3.25 kV, 30 V, and 4 V, respectively, for positive mode. Nitrogen was applied as the desolvation gas at a flow rate of 900 l hours−1. The source and desolvation temperatures were maintained at 120oC and 550oC, respectively. Mass spectra were acquired over the m/z range of 100–1,200 at a mass resolution of 22 000 FWHM (full-width half at maximum).

2.5.1. Data processing and identification

Raw data pre-treatment, including peak alignment, peak extraction, normalization, deconvolution, and compound identification, was carried out using Progenesis QI software (version 2.2, Waters, Milford, MA) with default settings. Untargeted data analysis with Progenesis QI exhibited 3813 and 1797 molecular features in the ESI+ mode with clean retention time-exact mass were obtained in each sample profile both in leaves and bark extract, respectively, which finally produced a matrix of features with the retention time, m/z, mass error, isotope similarity, and peak intensity. Each m/z value obtained both in the leaf and bark samples was searched against the in-house databases with different parameters set for putative identification based on the score with accurate mass matching, isotope similarity, and fragmentation score along with MS/MS data also included for the identification.

2.5.2. Building a custom in-house database

An in-house library of different metabolites was created through a literature search of previously reported metabolites from different species of the Myristicaceae family such as M. fragrans, Myristica malabarica, Myristica beddomei [12,2224]. The structural and spectral information of metabolites were retrieved from different online metabolites databases like Metlin ( PubChem (, HMDB (, ChemSpider (, CHEMEBI ( and ChEMBL ( in “.sdf” and “. mol” file formats. These structural files were examined individually for correct information and were combined as one file in “.sdf” file format using Progenesis SDF Studio software (v1.05667/43006), for the identification of metabolites through Progenesis QI software. Similarly, other databases like bio-molecules provided by the Waters Corporation also was used for the identification.

2.6. Statistical Analysis

All the experiments were conducted in triplicates, and a statistically significant difference was calculated using a one-way analysis of variance at p ≤ 0.001 followed by Tukey’s post hoc test with p ≤ 0.05 using IBM Statistical Package for the Social Sciences (version 25) software. Results were represented as mean ± SD.


3.1. Screening and Chemical Characterization of Phytochemical Extracts

Difficulties and challenges in conventional procedures for the identification of total chemical signatures in a complex system have been advocated for decades. The present investigation is an effort towards simplifying the critical and complex procedures using modern analytical tools to characterize and dereplicate pharmacological essentials present in the vulnerable medicinal plant M. dactyloides. Initially, sequential extraction of metabolites from leaves and bark of M. dactyloides based on the polarity of the solvents using Soxhlet apparatus was achieved using non-polar (hexane), moderately polar (chloroform), and polar (methanol) solvents. Different solvent extracts of M. dactyloides leaves and bark were subjected for quantitative estimation of total phenol and TFCs and antioxidant activity along with 15-LOX inhibition of individual extracts for the selection of extract with a significant amount of bioactive chemical constituents. Results of quantitative analysis for TPC and TFC indicated that methanolic extract had the highest TPC and TFC content in both leaf and bark extracts (Table 1).

3.2. Radical Scavenging and Anti-Inflammatory Activities of Leaf and Bark Extracts of M. dactyloides

Efforts towards finding new anti-inflammatory and antioxidant molecules always remain a prime point in pharmacological research as they are very essential to combat inflammatory and oxidative stress-induced diseases [2530]. As the antioxidant and anti-inflammatory potential of extracts substantially correlates with their biological significance [31], in the present study the leaves and bark solvent fractions of M. dactyloides were evaluated for their antioxidant efficiency via anti-radical (DPPH), reducing power (Ferric Reducing Antioxidant Power) assays and anti-inflammatory efficiency through LOX inhibitory assay model. Methanolic leaf and bark extracts have shown significant antioxidant activities with an IC50value of 1.48 and 6.88 μg/ml when subjected to scavenge DPPH free radicals, respectively (Table 2). They also have a significant reducing ability at 217.46 mmol (FeII+)/g and 263.68 mmol (FeII+)/g, respectively. These results highlight a strong relationship between the total phenolic/flavonoid contents of the extracts and their antioxidant efficiency [31]. Results of anti-inflammatory potential of M. dactyloides indicated significant inhibitory effects on LOX when treated with methanolic leaf and bark extracts which scored lowest IC50 values of 2.4 and 10.4 μg/ml, respectively (Table 2). Since the methanolic leaf and bark extracts of M. dactyloides showed promising potential in neutralizing the free radicals and inhibiting LOX, these extracts were further subjected to metabolite profiling to catalog their important chemical constituents which may have potent bioactivities [32].

Table 1. Total phenolic and TFC of leaves and bark extracts of Myristica dactyloides.

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Table 2. DPPH IC50 value, ferric reducing antioxidant power assay, and LOX IC50 value of leaves and bark extracts of M. dactyloides.

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3.3. High-Resolution Liquid Chromatography Mass Spectrometry (HR-LC-ESI-MS/MS) Analysis of Bioactive Extract

Conventional methods of characterization of bioactive phytoconstituents involve series of steps that include extraction, evaluation, chromatographic separation, and spectroscopic characterization. However, due to the unavailability of suitable phytochemical standards, most of the researchers end up characterizing few known phytochemicals despite extensive effort and time. Hence unveiling the complex chemistry of bioactive crude extracts using high throughput and high-resolution techniques is a key to pinpoint the pharmaceutically potent bio-actives and simplify the efforts to understand its action on the target. Among genus Myristica, there is overwhelming research on understanding the chemistry of Myristica fragrans, common name “nutmug,” due to its innumerable medicinal and bioactive applications [12]. However, in spite of its usage as a replacement constituent for M. fragrans, the efforts towards understanding the chemistry of M. dactyloides have remained considerably low. Hence in the present study, HR-LC-ESI-MS/MS was used in order to characterize the chemical composition of methanolic crude extracts of leaves and bark from M. dactyloides. Untargeted data analysis with Progenesis QI exhibited 3,093 and 1,797 molecular features in the ESI+ mode with clean retention time-exact mass in the sample profile of leaves and bark extract, respectively. For the identification of compounds, an in-house database of previously reported metabolites from different species of the Myristicaceae family such as M. fragrans, M. malabarica, M. beddomei [12,2224] used with a mass accuracy of 10 ppm. Similarly, other databases like bio-molecules provided by the Waters Corporation also was used for the identification.

The representative base peak chromatogram of M. dactyloides leaf and bark extracts is depicted in Figure 1A and B and the phytochemical identification data is presented in Table 3, which summarizes the tentative compounds characterized from these extracts including their retention time, experimental m/z, mass, proposed metabolites, molecular formula, and reported activity. These compounds mainly belong to lignans, neolignans, phenylpropanoids, diarylnonanoid, flavonoids, and others.

The LC chromatograms of both leaves and bark showed a varied concentration of metabolites present in each extract, with leaves showing higher metabolite content compared to bark due to the production of metabolites based on light-dependent pathways and the abundance profile of representative compounds (Fig. 2) both in leaf and bark also supports the leaves showing higher metabolite content. Mass Fragmentation trace of representative compounds like Malabaricone C, Malabaricone B, Guaiacin, Myricanone, and Epicatechin along with their and structures are given in Figure 3. In addition, there are considerable number of metabolites present both in leaves and bark extract as only a few metabolites have been focused in the present study.

The HR-LC-ESI-MS/MS data highlighted the increased concentration of lignans and neolignane derivatives in the leaf and bark extracts of M. dactyloides. Lignans and neolignans are the derivatives of phenylpropanoids generated through oxidative coupling and are among the major group of plant secondary metabolites found in the genus Myristica [12,33]. The peak at m/z 390 was proposed to be Myrifralignan A, a compound identified in M. fragrans and reported to have nitric oxide radical scavenging activity [12,34]. A peak at m/z 360 was identified as Austrobailignan 7 (A7) the existence of which was also reported in M. fragrans, Urbanodendron verrucosum, and several other plant systems [35,36]. However, research efforts in unveiling the biological significance of this compound remained inconclusive compared to its analogs such as Austrobailignan 1, Austrobailignan 3, Austrobailignan 5, and Austrobailignan 6 which were extensively evaluated for their anti-inflammatory, antioxidant, anti-cancer, and anti-wrinkling activities [3740]. Peak at 295, with the mass of 330.1467 was proposed as Fragransol B which was only identified in M. fragrans and its biological significance has remained largely unknown. Peak at m/z 309 is identified as Machilin A, previously reported in the members of genus Machilus and Myristica and is a well-known inhibitor of cytochrome P450 1A and 2B6 [41,42].

Similarly, several other lignans and neolignans like Argenteane, (peak at m/z 619), Nectandrin A (peak at m/z 376), Myristicanol B (peak at m/z 405), Myrifralignan E (peak at m/z 383), Fragransin D1 (peak at m/z 406), Sesamin (peak at m/z 337), Guaiacin (peak at m/z 329) detected in the methanolic extracts of leaf and bark sample of M. dactyloides in the present study strongly advocate the potential of these groups of compounds for biological activities [12,34,4348]. Monotropein an iridoid glycoside tentatively annotated for the molecular ion at m/z 391.1238 (M + H) previously reported from the Morinda officinalis with well-established Antinociceptive and anti-inflammatory potential [49,50]. In addition, the present study also revealed the pharmacological richness in M. dactyloides wherein 25 bioactive chemical compounds other than lignans and neolignans were identified. These include alcoholic sugars, flavonoids, and steroids like Myoinositol, Methylisoeugenol, Monotropein, Parakmerin A, Eugenol, Anthriscinol, Syringic acid, Fragransol C, (+)-Epicatechin, Elemicin, Eugenol, Malabaricone D, (+)-Myristinin A, (+)-Myristinin D, 1-(2,6-Dihydroxyphenyl)-9-(4-Hydroxy-3-Methoxyphenyl), Dihydroguaiaretic acid, 4-Terpineol, Malabaricone C (Mal C), Malabaricone B (Mal B), Myricanone, Dodecanoylphloroglucinol, Safrole, Isoeugenol, and Daucosterol.

Myoinositol, Malabaricone B, Malabaricone C, Malabaricone D, and 1-(2,6-dihydroxyphenyl)-9-(4-hydroxy-3-methoxyphenyl) nonan-1-one which have been previously reported from the M. dactyloides have also been identified in the present study confirming their presence in the plant [13,14].

In addition to the above phytochemical constituents, the presence of compounds Mal C and Mal B, which are present in most of the members of genus Myristica potentially proves its consideration in developing a chemo-taxonomical library for the identification of this genus. Mal C is one among the extensively explored chemical content predominantly present in genus Myristica, known for its possible therapeutic potential for treating cancer and inflammatory disorders [51,52], Alzheimer’s disease [53], and infectious diseases [54]. The present study also highlights the importance of exploring the bioactive potential of Mal B which is underutilized compared to Mal C. The presence of Mal C and Mal B in M. dactyloides may be responsible for the antioxidant and anti-inflammatory efficiency in the extracts recorded earlier in preliminary in vitro investigation.

Figure 1. LC chromatograms methanol extracts of (a) Bark and (b) Leaf of Myristica dactyloides.

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The present investigation also added prominent chemical signatures like Monotropein Malabaricone B, Malabaricone C, Fragransol B, Guaiacin, Myricanone, and Epicatechin to the phytochemical catalog of M. dactyloides. Though the components like Malabaricone C, Monotropein have been studied extensively by researchers worldwide, the other chemical constitutes cataloged in this study are more promising for pharmacological industries facing challenges in the discovery of synthetic drugs which is known to be expensive and risky in terms of capital investment and side effects. The unexplored phytochemicals cataloged from M. dactyloides for their bioactive potentials represent novel natural interventions towards finding a solution for the industrial challenges.

Table 3. List of major chemical constituents identified from methanolic extracts of leaves and bark of Myristica dactyloides using HR-LC-ESIMS/MS.

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Figure 2. Abundance profile of representative compounds from leaf and bark extract.

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Figure 3. Mass fragmentation trace and structures of (A). Malabaricone (C, B). Malabaricone (B, C). Guaiacin, (D). Myricanone and (E) Epicatechin.

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The present study is a first report to the best of authors’ knowledge, on cataloging the chemicals constituents in leaves and bark methanolic extracts of M. dactyloides, and indicates chemical and bioactive resemblance between M. dactyloides and M. fragrans (Table 3). This evidently supports the current practice of using M. dactyloides as a viable alternative in pharmaceutical formulations of M. fragrans. The study also highlights the potential of modern analytical tools in cataloging chemical constituents within a genus of medicinally important plants, which may certainly aid in the development of a chemo-taxonomical database to authenticate and identify the plant species. The present investigation strongly advocates the importance of constructing a medicinal plant species-based chemical library which can be accessed by researchers for developing species-specific chemo-taxonomical tools in the future. This will in turn cut down the time taken for the characterization of bioactive compounds from natural resources.


All the authors have made substantive intellectual contributions to the content of this manuscript in the following areas: Concept and design—KMM and KRK, Data acquisition and analysis—KMM, and BRN, Drafting manuscript—KMM, SCR, BRN, and KRK. Critical revision of Manuscript—SNB, KKSK, and SS, Statistical analysis—KMM and BRN, and Supervision and Final approval—KRK.


The author was financially supported through the UGC: National Fellowship for Higher Education (NFHE) for this study. The authors are grateful to Dr. Paul N Goulding, Senior Business Development Manager, Asia, Africa, and Australasia for providing the Progenesis QI and valuable suggestions for this work. The authors are thankful to the Sophisticated Analytical Instrument Facility (SAIF), IIT Bombay instrumentation facility. The authors are also grateful to the Institution of Excellence (IOE), University of Mysore, for the instrumentation facility.


The authors have declared no conflict of interest.


This study does not involve experiments on animals or human subjects.


1. Brusotti G, Cesari I, Dentamaro A, Caccialanza G, Massolini G. Isolation and characterization of bioactive compounds from plant resources: the role of analysis in the ethnopharmacological approach. J Pharm Biomed Anal 2014;87:218–28; doi:10.1016/j.jpba.2013.03.007 CrossRef

2. Liu Q, Jiao Z, Liu Y, Li Z, Shi X, Wang W, et al. Chemical profiling of San-Huang decoction by UPLC–ESI-Q-TOF-MS. J Pharm Biomed Anal 2016;131:20–32; doi:10.1016/j.jpba.2016.07.036 CrossRef

3. Farag MA, Maamoun AA, Ehrlich A, Fahmy S, Wesjohann LA. Assessment of sensory metabolites distribution in 3 cactus Opuntia ficus-indica fruit cultivars using UV fingerprinting and GC/MS profiling techniques. LWT- Food Sci Technol 2017;80:145–54. CrossRef

4. Kind T, Tsugawa H, Cajka T, Ma Y, Lai Z, Mehta SS, et al. Identification of small molecules using accurate mass MS/MS search. Mass Spectrom Rev 2018;37:513–32; doi:10.1002/mas.21535 CrossRef

5. Noumi E, Snoussi M, Anouar EH, Alreshidi M, Veettil VN, Elkahoui S, et al. HR-LCMS-based metabolite profiling, antioxidant, and anticancer properties of Teucrium polium l. Methanolic extract: computational and in vitro study. Antioxidants 2020;9:1–23; doi:10.3390/antiox9111089 CrossRef

6. Tsugawa H. Advances in computational metabolomics and databases deepen the understanding of metabolisms. Curr Opin Biotechnol 2018;54:10–7; doi:10.1016/j.copbio.2018.01.008 CrossRef

7. Tabudravu JN, Pellissier L, Smith AJ, Subko K, Autréau C, Feussner K, et al. LC-HRMS-Database screening metrics for rapid prioritization of samples to accelerate the discovery of structurally new natural products. J Nat Prod 2019;82:211–20; doi:10.1021/acs.jnatprod.8b00575 CrossRef

8. Herath HMTB, Priyadarshani AMA. Two lignans and an aryl alkanone from Myristica dactyloides. Phytochemistry 1996;42:1439–42; doi:10.1016/0031-9422(96)00113-6 CrossRef

9. Christenhusz MJM, Byng JW. The number of known plants species in the world and its annual increase. Phytotaxa 2016;261:201; doi:10.11646/phytotaxa.261.3.1 CrossRef

10. Haridasan D, Ravikumar K, Saha K, Ved D. Myristica dactyloides the IUCN red list of threatened species. 2015;8235; doi:10.2305/IUCN.UK.2015-2.RLTS.T33526A50131225.en. International Union for Conservation of Nature Red List of Threatened Species website. Available via

11. Jayaweera DMA. Medicinal plants used in Ceylon. Part. 3 . National Science Council of Sri Lanka, Colombo, Sri Lanka, p 161, 1982.

12. Abourashed EA, El-Alfy AT. Chemical diversity and pharmacological significance of the secondary metabolites of nutmeg (Myristica fragrans Houtt.). Phytochem Rev 2016; 15:1035–56; doi:10.1007/s11101-016-9469-x CrossRef

13. Tillekeratne LMV, Jayamanne DT, Weerasooria KDV. Chemical constituents of Myristica dactyloides. J Natn Sci Coun 1981;9:251–3.

14. Wijesekera TP, Babel M, Nair NF, Cooray ER, Jansz S. Wimalasena, ceylon, acylresorcinols from seed kernels of Myristica dactyloides. Phytochemistry 1987;26:3369–71. CrossRef

15. Herath HMTB, Priyadarshani AMA, Jamie J. Dactyloidin, a new diaryl nonanoid from Myristica Dactyloides, Nat Prod Lett 1998; 12;91–5; CrossRef

16. Kumar NS, Herath HMTB, Karunaratne V. Arylalkanones from Myristica dactyloides, Phytochemistry 1988;27:465–68. CrossRef

17. Herath HMTB, Priyadarshani AMA, Jamie J. Lignans from Myrstica dactyloides. Phytochemistry 1997;44:699–703. CrossRef

18. Ainsworth EA, Gillespie KM. Estimation of total phenolic content and other oxidation substrates in plant tissues using folin-ciocalteu reagent. Nat Protoc 2007;2:875–7; doi:10.1038/nprot.2007.102 CrossRef

19. Zhang L, Ravipati AS, Koyyalamudi SR, Jeong SC, Reddy N, Smith PT, et al. Antioxidant and anti-inflammatory activities of selected medicinal plants containing phenolic and flavonoid compounds. J Agric Food Chem 2011;59:12361–7. CrossRef

20. Sekhar S, Kk S, Niranjana SR, Prakash HS. In vitro antioxidant activity, lipoxygenase, cyclooxygenase-2 inhibition and DNA protection properties of Memecylon species. Int J Pharm Pharm Sci 2013;5:257–62.

21. Nagarani G, Abirami A, Siddhuraju P. A comparative study on antioxidant potentials, inhibitory activities against key enzymes related to metabolic syndrome, and anti-inflammatory activity of leaf extract from different Momordica species. Food Sci Hum Wellness 2014;3:36–46; doi:10.1016/j.fshw.2014.02.003 CrossRef

22. John Zachariah BKT, Leela NK, Maya KM, Rema J, Mathew PA, Vipin TM. Chemical composition of leaf oils of Myristica beddomei (King), Myristica fragrans (Houtt.) and Myristica malabarica (Lamk.). J Spices Aromat Crop 2008;17:10–5. Available via

23. Asgarpanah J, Kazemivash N. Phytochemistry and pharmacologic properties of Myristica fragrans Hoyutt.: a review. Afr J Biotechnol 2012;11:12787–93; doi:10.5897/AJB12.1043 CrossRef

24. Pandey R, Mahar R, Hasanain M, Shukla SK, Sarkar J, Rameshkumar KB, et al. Rapid screening and quantitative determination of bioactive compounds from fruit extracts of Myristica species and their in vitro antiproliferative activity. Food Chem 2016;211:483–93; doi:10.1016/j.foodchem.2016.05.065 CrossRef

25. Mackay CR. Moving targets: cell migration inhibitors as new anti-inflammatory therapies. Nat Immunol 2008;9:988–98; doi:10.1038/ni.f.210 CrossRef

26. Kizhakekuttu TJ, Widlansky ME. Natural antioxidants and hypertension: promise and challenges. Cardiovasc Ther 2010;28:e20–32. CrossRef

27. Zatalia SR, Sanusi H. The role of antioxidants in the pathophysiology, complications, and management of diabetes mellitus. Acta Med Indones 2013; 45:141–7.

28. Matés JM, Segura JA, Alonso FJ, Márquez J. Natural antioxidants: therapeutic prospects for cancer and neurological diseases. Mini Rev Med Chem 2009;9:1202–14. CrossRef

29. Sahgal G, Ramanathan S, Sasidharan S, Mordi MN, Ismail S, Mansor SM. In vitro antioxidant and xanthine oxidase inhibitory activities of methanolic Swietenia mahagoni seed extracts. Molecules 2009;14:4476–85; doi:10.3390/molecules14114476 CrossRef

30. Pohl F, Lin PKT. The potential use of plant natural products and plant extracts with antioxidant properties for the prevention/treatment of neurodegenerative diseases: in vitro, in vivo and clinical trials. Molecules 2018;23:3283. CrossRef

31. Ravipati AS, Zhang L, Koyyalamudi SR, Jeong SC, Reddy N, Bartlett J, et al. Antioxidant and anti-inflammatory activities of selected Chinese medicinal plants and their relation with antioxidant content. BMC Complement Altern Med 2012;12:5–10; doi:10.1186/1472-6882-12-173 CrossRef

32. Nanda BL, Nataraju A, Rajesh R, Rangappa KS, Shekar MA, Vishwanath BS. PLA2 mediated arachidonate free radicals: PLA2 inhibition and neutralization of free radicals by anti-oxidants-a new role as anti-inflammatory molecule. Curr Top Med Chem 2007;7:765–77. CrossRef

33. Zálešák F, Bon DJYD, Pospíšil J. Lignans and Neolignans: Plant secondary metabolites as a reservoir of biologically active substances. Pharmacol Res 2019;146:104284; doi:10.1016/j.phrs.2019.104284 CrossRef

34. Cao GY, Xu W, Yang XW, Gonzalez FJ, Li F. New neolignans from the seeds of Myristica fragrans that inhibit nitric oxide production. Food Chem 2015;173:231–7. CrossRef

35. Hada S, Hattori M, Tezuka Y, Kikuchi T, Namba T. New neolignans and lignans from the aril of Myristica fragrans. Phytochemistry 1988;27:563–8; doi:10.1016/0031-9422(88)83142-X CrossRef

36. Dias AF, Giesbrecht AM, Gottlieb OR. Neolignans from Urbanodendron verrucosum. Phytochemistry 1982;21:1137–9. CrossRef

37. Wu CC, Huang KF, Yang TY, Li YL, Wen CL, Hsu SL, et al. The Topoisomerase 1 inhibitor Austrobailignan-1 isolated from Koelreuteria henryi induces a G2/M-phase arrest and cell death independently of p53 in non-small cell lung cancer cells. PLoS One 2015;10:e0132052. CrossRef

38. Hodroj MH, Jardaly A, Abi Raad S, Zouein A, Rizk S. Andrographolide potentiates the antitumor effect of topotecan in acute myeloid leukemia cells through an intrinsic apoptotic pathway. Cancer Manag Res 2018;10:1079. CrossRef

39. Han J, Jeong HJ, Lee HN, Kwon YJ, Shin HM, Choi Y, et al. Erythro-austrobailignan-6 down-regulates HER2/EGFR/integrinβ3 expression via p38 activation in breast cancer. Phytomedicine 2017; 24:24–30. CrossRef

40. Filleur F, Le Bail JC, Duroux JL, Simon A, Chulia AJ. Antiproliferative, anti-aromatase, anti-17β-HSD and antioxidant activities of lignans isolated from Myristica argentea. Planta Med 2001;67:700–4. CrossRef

41. Kim SJ, You J, Choi HG, Kim JA, Jee JG, Lee S. Selective inhibitory effects of machilin A isolated from Machilus thunbergii on human cytochrome P450 1A and 2B6. Phytomedicine 2015; 22:615–20. CrossRef

42. Li G, Lee CS, Woo MH, Lee SH, Chang HW, Son JK. Lignans from the bark of Machilus thunbergii and their DNA topoisomerases I and II inhibition and cytotoxicity. Biol Pharm Bull 2004;27:1147–50. CrossRef

43. Calliste CA, Kozlowski D, Duroux JL, Champavier Y, Chulia AJ, Trouillas P. A new antioxidant from wild nutmeg. Food Chem 2010;118:489–96. CrossRef

44. Kim DY, Kim GW, Chung SH. Nectandrin A enhances the BMP-induced osteoblastic differentiation and mineralization by activation of p38 MAPK-smad signaling pathway. Korean J Physiol Pharmacol 2013;17:447–53; doi:10.4196/kjpp.2013.17.5.447 CrossRef

45. Nguyen PH, Le TVT, Kang HW, Chae J, Kim SK, Kwon K, et al. AMP-activated protein kinase (AMPK) activators from Myristica fragrans (nutmeg) and their anti-obesity effect. Bioorg Med Chem Lett 2010;20:4128–31. CrossRef

46. Hattori M, Yang X, Miyashiro H, Namba T. Inhibitory effects of monomeric and dimeric phenylpropanoids from mace on lipid peroxidation in vivo and in vitro. Phytother Res 1993;7:395–401. CrossRef

47. Jeng KCG, Hou RCW. Sesamin and sesamolin: nature’s therapeutic lignans. Curr Enzyme Inhib 2005;1:11–20. CrossRef

48. Shimizu S, Akimoto K, Shinmen Y, Kawashima H, Sugano M, Yamada H. Sesamin is a potent and specific inhibitor of Δ5 desaturase in polyunsaturated fatty acid biosynthesis. Lipids 1991;26:512–6; doi:10.1007/BF02536595 CrossRef

49. Choi J, Lee KT, Choi MY, Nam JH, Jung HJ, Park SK, et al. Antinociceptive anti-inflammatory effect of monotropein isolated from the root of Morinda officinalis. Biol Pharm Bull 2005;28:1915–8. CrossRef

50. Shin JS, Yun KJ, Chung KS, Seo KH, Park HJ, Cho YW, et al. Monotropein isolated from the roots of Morinda officinalis ameliorates proinflammatory mediators in RAW 264.7 macrophages and dextran sulfate sodium (DSS)-induced colitis via NF-κB inactivation. Food Chem Toxicol 2013;53:263–71. CrossRef

51. Tyagi M, Bauri AK, Chattopadhyay S, Patro BS. Thiol antioxidants sensitize malabaricone C induced cancer cell death via reprogramming redox sensitive p53 and NF-κB proteins in vitro and in vivo. Free Radic Biol Med 2020;148:182–99. CrossRef

52. Basak M, Mahata T, Chakraborti S, Kumar P, Bhattacharya B, Bandyopadhyay SK, et al. Malabaricone C attenuates nonsteroidal anti-inflammatory drug-induced gastric ulceration by decreasing oxidative/nitrative stress and inflammation and promoting angiogenic autohealing. Antioxid Redox Signal 2020;32:766–84; doi:10.1089/ars.2019.7781 CrossRef

53. Sathya S, Amarasinghe NR, Jayasinghe L, Araya H, Fujimoto Y. Enzyme inhibitors from the aril of Myristica fragrans. S Afr J Bot 2020;130:172–6; doi:10.1016/j.sajb.2019.12.020 CrossRef

54. Suthisamphat N, Dechayont B, Phuaklee P, Prajuabjinda O, Vilaichone RKK, Itharat A, et al. Anti-Helicobacter pylori, anti-inflammatory, cytotoxic, and antioxidant activities of mace extracts from Myristica fragrans. Evid Based Complement Alternat Med 2020;2020:1–6; doi:10.1155/2020/7576818 CrossRef

55. Cheng YX, Zhou J, Tan NH. The chemical constituents of Parakmeria yunnanensis. Acta Bot Yunnanica 2001;23:352–6.

56. Hendrawati O, Woerdenbag HJ, Michiels PJA, Aantjes HG, Van Dam A, Kayser O. Identification of lignans and related compounds in Anthriscus sylvestris by LC-ESI-MS/MS and LC-SPE-NMR. Phytochemistry 2011;72:2172–9; doi:10.1016/j.phytochem.2011.08.009 CrossRef

57. Morikawa T, Hachiman I, Matsuo K, Nishida E, Ninomiya K, Hayakawa T, et al. Neolignans from the arils of Myristica fragrans as potent antagonists of CC chemokine receptor 3. J Nat Prod 2016;79:2005–13; doi:10.1021/acs.jnatprod.6b00262 CrossRef

58. Hattori M, Yang XW, Shu YZ, Kakiuchi N, Tezuka Y, Kikuchi T, et al. New constituents of the aril of Myristica fragrans. Chem Pharm Bull 1988;36:648–53. CrossRef

59. Lee SU, Shim KS, Ryu SY, Min YK, Kim SH. Machilin A isolated from Myristica fragrans stimulates osteoblast differentiation. Planta Med 2009;75:152–7. CrossRef

60. Chung TW, Kim EY, Han CW, Park SY, Jeong MS, Yoon D, et al. Machilin A inhibits tumor growth and macrophage M2 polarization through the reduction of lactic acid. Cancers (Basel) 2019;11:963. CrossRef

61. da Silva Filho AA, Albuquerque S, e Silva MLA, Eberlin MN, Tomazela DM, Bastos JK. Tetrahydrofuran lignans from Nectandramegapotamica with trypanocidal activity. J Nat Prod 2004;67:42–5. CrossRef

62. Park S, Lee DK, Yang CH. Inhibition of fos–jun–DNA complex formation by dihydroguaiaretic acid and in vitro cytotoxic effects on cancer cells. Cancer Lett 1998;127:23–8. CrossRef

63. Yamauchi S, Masuda T, Sugahara T, Kawaguchi Y, Ohuchi M, Someya T, et al. Antioxidant activity of butane type lignans, secoisolariciresinol, dihydroguaiaretic acid, and 7, 7′-oxodihydroguaiaretic acid. Biosci Biotechnol Biochem 2008; 72:2981–6. CrossRef

64. Min BS, Cuong TD, Hung TM, Min BK, Shin BS, Woo MH. Inhibitory effect of lignans from Myristica fragranson LPS-induced no production in RAW264.7 cells. Bull Korean Chem Soc 2011;32:4059–62; doi:10.5012/bkcs.2011.32.11.4059 CrossRef

65. Ma CJ, Sung SH, Kim YC. Neuroprotective lignans from the bark of Machilus thunbergii. Planta Med 2004;70: 79–80. CrossRef

66. Liang J, Huang B, Wang G. Chemical composition, antinociceptive and anti-inflammatory properties of essential oil from the roots of Illicium lanceolatum. Nat Prod Res 2012;26:1712–4. CrossRef

67. Barboza JN, da Silva Maia Bezerra Filho C, Silva RO, Medeiros JVR, de Sousa DP. An overview on the anti-inflammatory potential and antioxidant profile of eugenol. Oxid Med Cell Longev 2018;2018:3957262; doi:10.1155/2018/3957262 CrossRef

68. Subarnas A, Apriyantono A, Mustarichie R. Identification of compounds in the essential oil of nutmeg seeds (Myristica fragrans Houtt.) that inhibit locomotor activity in mice. Int J Mol Sci 2010;11:4771–81. CrossRef

69. Cho SJ, Kwon HS. Tyrosinase inhibitory activities of safrole from Myristica fragrans Houtt. J Appl Biol Chem 2015;58:295–301; doi:10.3839/jabc.2015.047 CrossRef

70. Purushothaman KK, Sarada A, Connolly JD. Malabaricones A–D, novel diarylnonanoids from Myristica malabarica Lam (Myristicaceae). J Chem Soc Perkin 1 1977;5:587–8. doi:10.1039/P19770000587 CrossRef

71. Kang J, Tae N, Min BS, Choe J, Lee JH. Malabaricone C suppresses lipopolysaccharide-induced inflammatory responses via inhibiting ROS-mediated Akt/IKK/NF-κB signaling in murine macrophages. Int Immunopharmacol 2012;14:302–10. CrossRef

72. Paul A, Das J, Das S, Samadder A, Khuda-Bukhsh AR. Anticancer potential of myricanone, a major bioactive component of Myrica cerifera: novel signaling cascade for accomplishing apoptosis. J Acupunct Meridian Stud 2013;6:188–98. CrossRef

73. Maity B, Banerjee D, Bandyopadhyay SK, Chattopadhyay S, Regulation of arginase/nitric oxide synthesis axis via cytokine balance contributes to the healing action of malabaricone B against indomethacin-induced gastric ulceration in mice. Int Immunopharmacol 2009;9:491–8. CrossRef

74. Rangkaew N, Suttisri R, Moriyasu M, Kawanishi K. A new acyclic diterpene acid and bioactive compounds from Knema glauca. Arch Pharm Res 2009;32:685–92; doi:10.1007/s12272-009-1506-5 CrossRef

75. Morrison M, van der Heijden R, Heeringa P, Kaijzel E, Verschuren L, Blomhoff R, et al. Kleemann, epicatechin attenuates atherosclerosis and exerts anti-inflammatory effects on diet-induced human-CRP and NFκB in vivo. Atherosclerosis 2014;233:149–56. CrossRef

76. Sawadjoon S, Kittakoop P, Kirtikara K, Vichai V, Tanticharoen M, Thebtaranonth Y. Atropisomeric myristinins: selective COX-2 inhibitors and antifungal agents from Myristica cinnamomea. J Org Chem 2002;67:5470–5. CrossRef

77. Rysz J, Bartnicki P, B?aszczak R, Kujawski K, Cia?kowska-Rysz A, Olszewski R, et al. Anti-inflammatory action of myoinositol in renal insufficiency. Pol Merkur Lekarski 2006;20:180–3.

78. Srinivasulu C, Ramgopal M, Ramanjaneyulu G, Anuradha CM, Kumar CS. Syringic acid (SA)?a review of its occurrence, biosynthesis, pharmacological and industrial importance. Biomed Pharmacother 2018;108:547–57. CrossRef

79. Ninomiya K, Hayama K, Ishijima SA, Maruyama N, Irie H, Kurihara J, et al. Suppression of inflammatory reactions by terpinen-4-ol, a main constituent of tea tree oil, in a murine model of oral candidiasis and its suppressive activity to cytokine production of macrophages in vitro. Biol Pharm Bull 2013;36:838–44. CrossRef

80. Liu S, Zhao Y, Cui HF, Cao CY, Zhang YB. 4-Terpineol exhibits potent in vitro and in vivo anticancer effects in Hep-G2 hepatocellular carcinoma cells by suppressing cell migration and inducing apoptosis and sub-G1 cell cycle arrest. J Buon 2016;21:1195–202.

81. Zhao G, Wang X, Gao H. Isolation and identification of chemical constituents from processed Myristica fragrans Houtt. J Mod Chinese Med 2011;11.

82. Zhao C, She T, Wang L, Su Y, Qu L, Gao Y, et al. Daucosterol inhibits cancer cell proliferation by inducing autophagy through reactive oxygen species-dependent manner. Life Sci 2015;137:37–43. CrossRef


1.Kizhakkayil J, Bhas S. Diversity, characterization and utilization of ginger: a review. Plant Genet Resour 2011;9:464-77.

2. Famurewa AV, Emuekele PO, Jaiyeoba KF. Effect of drying and size reduction on the chemical and volatile oil content of ginger. J Med Plants Res 2011;5(14):2941-4.

3. Kalaivani K, Senthil N, Murugesan, GA. Biological activities of selected Lamiaceae and Zingiberaceae. Parasitol Res 2012;11(3):1261-8.

4. Sarwar A, Butt SJ. Evaluation of mutant lines of Rosa species. Adv Crop Sci Technol 2016;3(5):1-5.

5. Amadi CO. (2012). Ginger breeding in Nigeria: challenges and prospect. J Appl Agric Res 2012;4(2):155-63.

6. Food and Agriculture Organization of the United Nations. Production quantity of ginger in metric tonnes. Food and Agriculture Organization of the United Nations, Rome, Italy, 2018.

7. Ezeagu W. Ginger export. A paper presented at 3-day National Workshop on massive cassava and ginger production and processing for local industries and export, held at Fati Muasu Hall. National Centre for Women development, Abuja, Nigeria, 2006.

8. Iwo GA, Ekaette EA. Genetic components analysis of yield related traits in some ginger genotypes. Niger J Genet 2010;23:81-5.

9. Nmadu JN, Marcus PL. Efficiency of ginger production in selected Local Government of Kaduna State, Nigeria. Int J Food Agric Econ 2013;1(2):39-52.

10. Chukuwu GO, Emehuite JK. Fertilizer efficiency and productivity of ginger on a hapilyariscol in southern Nigeria. In: Akoroda MO (ed.). Root crops: the small processor and development of local food industries for market economy. Ibadan Polytechnic Venture, Ibadan, Nigeria, 2003.

11. Effiong J. Changing the pattern of use in the Calabar river catchment South eastern Nigeria. J Sustain Dev 2011;4(1):92-102.

12. Gomez KA, Gomez AA. Statistical procedures for agricultural research. 2nd edition, John Wiley & Sons, New York, NY, p 680, 1984.

13. Jatoi AS, Watanabe, KN. Diversity analysis and relationship among ginger landraces. Pak J Bot 2013;45(4):1203-14.

14. Sumanth V, Suresh BG, Ram BJ, Srujana G. Estimation of genetic variability, heritability, and genetic advance for grain yield components in rice (Oryza sativa L.). J Pharmacol Phytochemistry 2017;6(4):1437-9. Available via archives/2017/vol6issue4/PartU/6-4-59-298.pdf

15. Goudar SA, Gangadharappa PM, Dodamani SM, Lokesh C, Dharamatti VU. Evaluation of ginger (Zingiber officinale) genotypes for growth and yield attributes. Int J Pure Appl Biosci 2017;5(2):994- 9.

16. Aragaw MS, Alamerew G, Michael H, Tesfaye A. Variability of ginger (Zingiber officinale Rosc.) accessions for morphological and some quality traits in Ethiopia. Int J Agric Sci 2011;6:444-57.

17. Edirimanna EP, Korla BN. Induced variation for yield and quality characters of ginger (Zingiber officinale) using ethyl methane sulphonate. Ann Sri Lanka Dep Agric 2007;9:9-17.

18. Selvarasu A, Kandhasamy R. Analysis of variability, correlation and path coefficient in induced mutants of glory lily (Gloriosa superb L.). Int J Plant Breed 2013;7(1):69-75. Available via http://www. IJPB_7(1)69-75o.pdf

19. Raina A, Lasker RA, Khursheed S, Amin R., Tantray YR, Parveen K, et al. Role of mutation breeding in crop improvement - past, present and future. Asian Res J Agric 2016;2(2):1-13.

20. Food and Agriculture Organization of the United Nations. Ginger: post-production management for improved market access. Prepared by Plotto, A. Edited by Mazaud, F, Rotter, A and Steffel, K. Food and Agriculture Organization of the United Nations, Rome, Italy, 2006.

21. Givilidharan MP, Balakrishnan S. Gamma ray induced variability in vegetative and floral characters of ginger. Indian Cocoa, Arecanut Spices J 1992;15:68-72.

22. Attoe EE, Ojikpong TO, Kekong MA. Evaluation of growth and yield parameters of two ginger varieties in different soils of Cross Rivers State, Nigeria. Eur J Acad Essays 2016;3(3):109-20.

23. Mohandas, TP, Pradeep Kumar, T, Mayadevi, P, Aipe, KC, Kumaran, K. Stability analysis in ginger (Zingiber officinale Rosc.) genotypes. J Spices Aromat Crops 2000;9:165-7; journal/index.php/josac/article/view/4574

24. Alghamdi SS. Yield stability of some soybean genotypes across diverse environments. Pak J Biol Sci 2004;7(12):2109-14.

25. Ghaffari AA, Depao E. Agroclimatic zoning of Iranian cold drylands. In the Proceeding of the Iranian Crop Sciences Congress, Karaj, Iran, 2006, pp 42-48.

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