Author:
Romika Thakur1, Ajay Kumar1,2, Rahul Dev Gautam1,2, Ramesh Chauhan1,2, Ashok Kumar1, Satbeer Singh1 and Sanatsujat Singh1,2*
Journal Name: Biological Forum – An International Journal, 16(5): 64-69, 2024
Address:
1Agrotechnology Division, Council of Scientific and Industrial Research
Institute of Himalayan Bioresource Technology, Palampur (Himachal Pradesh), India.
2Academy of Scientific and Innovative Research, Ghaziabad (Uttar Pradesh), India.
(Corresponding author: Sanatsujat Singh*)
DOI: -
Rose scented geranium (Pelargonium graveolens) is one of the most important aromatic plants. Essential oil is rich in citronellol, geraniol and linalool and extensively used in perfumery and cosmetic industries. Eight mutant lines along with check variety Bourbon were tested among four different environments. Two factor analysis of variation revealed considerable significant variation due to genotype and G × E interaction for almost all the traits. The CSIR-IHBT-PG-05 has highest biomass (1195.08 g/plant) and essential oil content (0.20%). Eberhart and Russell model of stability analysis was performed to predict the significant influence of different environments on mutant lines which further revealed that line CSIR-IHBT-PG-05 has stable performance among the four environments studied. The present investigation provides a strong basis for identifying stable genotype and to carry out the process of selection and cultivar development in rose scented geranium.
Biomass, Essential oil, Genotypes, Scented rose, Stability.
Rose scented geranium (Pelargonium graveolens) is one of the most important aromatic plants that have originated from South Africa (Harish et al., 2018). The genera Pelargonium has 700 spp. and out of those rose scented geranium is commercially the most important (Shawl et al., 2006).The main constituents of its essential oils are geraniol and citronellol (Kaul and Rao 1999). In India, the two most important cultivars of geranium are Algerian and Bourbon (Ram et al., 2003). It is cultivated in different parts of India to obtain higher quality essential oil. Most of essential oil demands are fulfilled by countries like China, Arabian countries and Europe (Anonymous, 1996). Small quantity of biomass is produced from different states of India and rest of demand is fulfilled by import from foreign countries. It has antioxidant, antibacterial, insecticidal and antifungal properties (Farukh et al., 2014). It is also used to prevent blood clotting, dermis disorders, injury contamination, ulcers and diarrhoea (Harish et al., 2014). It is largely used in the fragrance, pharmaceutical and cosmetic manufacturer (Narayana et al., 1986; Rao, 2002). India has a great potential to increase its cultivated area due to the high price and demand for oil (Rao, 2015). In India, the biomass yield fluctuates between 300 and 500 quintals of biomass per hectare, and essential oil yield between 30 and 50kg of oil per hectare (Singh et al., 2000). The quantity of biomass and quality of essential oil is of greater importance in geranium. Therefore, there is need of successful breeding program for the development and improvement of these two important phenotypic traits i.e., biomass and essential oil. The difference in essential oil constituents in different environment regions of India were studied by Bhaskaruni et al. (1990) and they observed that the biomass (essential oil) obtained from medium to the higher altitude climate site was richer in menthone, nerol citronellol, and geraniol, while the essential oil produced from plants that are cultivated at lower environment were richer in linalool and other compounds. It is vegetative propagated crop. Vegetative propagated crops contribute to greater variability on account of recessive mutations under different environment conditions (Shawl et al., 2006). Hamouda et al. (2009) observed that plants obtained from multi environment differed in essential oil constituents. Higher biomass yield has direct positive correlation with essential oil(Jain et al., 2001). Western Himalayan region mostly remains unexplored for its cultivation. Therefore, the present study was undertaken to study genotype × environment interactions and stability of superior mutant lines to access the performance of lines among multi-environments of Western Himalayas. The primary goal of this research work is to select the most promising stable genotype of geranium for biomass and essential oil yield suitable for cultivation in variable environments. Multiple environment evaluation approach was used to study the performance of geranium lines in terms of yield and quality. In this study, we present the multi-environment performance of genotypes for two years with respect to the biomass and essential oil in Western Himalayan region.
Eight superior mutant lines developed through chemical mutagenesis and maintained at CSIR-IHBT, Palampur (Table 1) were investigated along with check variety Bourbon in the open field conditions at four different locations (Table 2). The experimental sites come under the sub-tropical low hills zone to temperate and dry temperate regions of Western Himalayas of Himachal Pradesh. The soil is silt clay loam, acidic in nature (pH ranged from 5.00 to 6.00) and enriched with available nitrogen phosphorus and potassium. The climate is generally sub humid to temperate, characterized by cold winters. The phenotypic data was observed on plant height (cm), plant spread, number of leaves, number of branches, biomass (g/plant) and essential oil (%). A total of 300 gram of biomass sample was used for essential oil extraction. Essential oil was obtained by using hydro distillation Clevenger apparatus operated for a period of 3 hours. The essential oil obtained in vials were dried by chemical sodium sulphate and stored at 4°C in a refrigerator until further analysis. The data were analyzed by two factor ANOVA and stability (Eberhart and Russell method) analysis. Two factors ANOVA was performed by exploiting dual components i.e., environments and genotypes and the stability analysis by making use of Eberhart and Russell model (Eberhart and Russell 1966). All the analysis was performed by using software OPSTAT (Sheoran et al., 1998).
Table 1: Details of genotypes used in the study.
Sr. No. | Genotype (Mutant lines) |
1. | CSIR-IHBT-PG-01 |
2. | CSIR-IHBT-PG-02 |
3. | CSIR-IHBT-PG-03 |
4. | CSIR-IHBT-PG-04 |
5. | CSIR-IHBT-PG-05 |
6. | CSIR-IHBT-PG-06 |
7. | CSIR-IHBT-PG-07 |
8. | CSIR-IHBT-PG-08 |
9. | Bourbon |
Table 2: Details of different locations, its average annual weather parameters and soil type.
Sr. No. | Parameters | Sihunta (Chamba) | Bajaura (Kullu) | Palampur (Kangra) | Bilaspur (Ghumarwin) |
1. | Location code | Env-1 | Env-2 | Env-3 | Env-4 |
2. | Agro-climatic Zone | Mid-hill sub humid | High-hill Temperate wet | Mid-hill sub-humid | Low hill sub tropical |
3. | Altitude (m) | 1410 | 1679 | 1219 | 597 |
4. | Average minimum temperature (°C) | 6.67 | 8.9 | 11.83 | 19.7 |
5. | Average maximum temperature (°C) | 26.85 | 21.5 | 21.70 | 34.9 |
6. | Total rainfall (mm) | 1421 | 1306 | 1578 | 1112 |
7. | Relative humidity (%) | 41.5 | 36.8 | 62.58 | 48.05 |
8. | Soil texture | Clay Loam | Silt loam | Silty clay loam | Alluvial |
9. | Soil pH | 6.12-6.78 | 6.42-6.96 | 5.23 -6.10 | 6.38-6.61 |
10. | Soil type | Slightly acidic | Acidic to Neutral | Acidic | Slightly acidic |
A. Combined analysis of variance (ANOVA)
Combined analysis of variance for all traits is presented in Table 3. Environment, genotype and G×E interaction were found significant for number of branches, number of leaves, biomass yield and essential oil. Plant spread was found highly significant for genotype main effect and G × E interaction. Plant height has showed high significance for genotype main effect. The results showed that these traits have wider variation and indicating the greater effect of environment on all the quantitative traits. The significant genotype and environment interaction (G × E) indicated that genotypes behave distinctly in diverse environments. Therefore, genotypes should be examined in multi-environments to facilitate the selection of stable genotype and release of new varieties commercially. However, combined analysis of variance was found highly significant for economic traits such as biomass and essential oil which further allow stability analysis of these economic traits. The results of the combined analysis were found to be in line with (Abd El-Salam et al., 2010). They observed a significant mean square for number of branches, and biomass in geranium due to the environment, which directly indicates that the environment has a great influence on the yield of all traits. The influence of environment, genotype, and (G × E) were observed for traits such as biomass and essential oil of geranium by El-tahawey and associates (2020) and they reported that variations were present in all traits. These results indicated that genotypes behave distinctively in multiple environments and stability analysis should be performed to identify the most stable genotypes from all environments. All the above mentioned previous reports match our current research study.
Table 3: Combined analysis of variance (2020-2021) for the yield and related traits.
Source of Variation | Mean Sum of squares | ||||||
Degree of freedom | Plant height (cm) | No. of leaves | No. of branches | Plant spread | Biomass yield (g/plant) | Essential oil (%) | |
Replication | 2 | ||||||
Environment(E) | 3 | 11.88 | 136.95* | 130.43* | 14.92 | 106764.23* | 0.13 |
Genotypes (G) | 8 | 47.97* | 168.94* | 158.26* | 34.13* | 432283.46* | 0.02* |
G × E | 24 | 22.09 | 34.76* | 16.13* | 20.22* | 47522.33* | 2.0e4* |
Error | 70 | 16.71 | 17.31 | 4.69 | 7.86 | 115.09 | 8.5e5 |
*significant at p ≤ 0.05
B. Mean performance of genotypes and environments
Mean comparison of genotypes and environments was performed and presented in Table 4 and Fig. 1. The environment Env-1 and Env-4 have showed maximum mean performance. Env-1 has showed maximum significant mean performance for the traits biomass. The results of mean performance among environments revealed that Env-1 is most suitable site for geranium cultivation followed by other environments. The variation in mean performance of traits among environments might be due to different climatic conditions and soil factors (Salamon, 2017). On the basis of overall mean performance of genotype, the genotype CSIR-IHBT-PG-05 has showed maximum mean value for traits like number of leaves, number of branches, plant spread, biomass and essential oil content. Therefore, genotype CSIR-IHBT-PG-05 could be further used in breeding improvement programs of geranium. The variation in traits like biomass and essential oil content in geranium genotypes was mainly due to different climatic conditions of locations (El-tahawey et al., 2020; Naragund and Divakar 1983). Earlier the same model of mean comparison of genotypes and environments for different traits was followed in geranium by Harish and co-workers (2018) and they revealed environment influence on genotypes. All the above-mentioned earlier reports confirm our present research findings. A similar strategy of mean comparison between genotypes and environments for traits like crucial oil and biomass was followed in palmarosa (Pareek and Maheshwari 1990), and vetiver (Patra et al., 2000).
Table 4: Mean comparison of genotypes and environments.
Genotype/ Environment | Plant height (cm) | Number of leaves | Number of branches | Plant spread | Biomass yield (g/plant) | Essential oil content (%) |
CSIR-IHBT-PG-01 | 79.583 | 79.38 | 53.58 | 80.88 | 915.75 | 0.16 |
CSIR -IHBT-PG-02 | 79.292 | 80.58 | 55.58 | 81.17 | 846.79 | 0.14 |
CSIR-IHBT-PG-03 | 78.542 | 75.54 | 56.25 | 80.75 | 535.00 | 0.08 |
CSIR-IHBT-PG-04 | 78.958 | 79.08 | 56.13 | 78.71 | 1028.92 | 0.12 |
CSIR-IHBT-PG-05 | 81.375 | 88.13 | 65.88 | 84.21 | 1195.08 | 0.20 |
CSIR-IHBT-PG-06 | 79.292 | 80.63 | 55.46 | 79.83 | 712.54 | 0.06 |
CSIR-IHBT-PG-07 | 74.708 | 81.83 | 54.46 | 79.17 | 921.50 | 0.11 |
CSIR-IHBT-PG-08 | 80.083 | 75.83 | 56.08 | 79.83 | 856.63 | 0.16 |
Bourbon | 81.583 | 77.96 | 54.88 | 82.25 | 746.13 | 0.10 |
Env-1 | 78.31 | 76.78 | 53.82 | 80.09 | 955.48 | 0.13 |
Env-2 | 79.35 | 79.82 | 59.02 | 80.13 | 821.80 | 0.12 |
Env-3 | 79.59 | 80.96 | 57.22 | 81.41 | 842.37 | 0.13 |
Env-4 | 79.81 | 81.98 | 55.85 | 81.39 | 828.50 | 0.12 |
Overall Mean | 79.27 | 79.88 | 56.48 | 80.75 | 862.04 | 0.13 |
CD (environments) | NA | 2.26 | 1.18 | 0.00 | 5.84 | NA |
CD (genotypes) | 3.33 | 3.40 | 1.77 | 2.29 | 8.75 | 0.01 |
CD-critical difference at p ≤ 0.05
Fig. 1. Biplots of genotype over environment performances for biomass yield.
The biomass and essential oil are economically most important traits in rose scented geranium. The response of variable environment for genotypes can be explored by using stability parameters (Lal et al., 2021). The different stability parameters of Eberhart and Russell model related to biomass and essential oil are computed and presented in Table 5. The two important stability parameters like regression coefficient and deviation from regression coefficient were used to identify adaptable genotypes among multiple environments. The bi value of distinct genotypes for biomass ranged from -0.15 to 5.18. Among all the nine accessions, the genotype CSIR-IHBT-PG-05 had the highest mean performance, zero divergence and unity regression coefficient. Therefore, this genotype has revealed stable response in multiple environments. The mean performance of CSIR-IHBT-PG-06 and CSIR-IHBT-PG-07 genotypes is above average, the regression coefficient is greater than unity (bi>1) and the mean deviation was zero (sd=0), which showed that these genotypes are considered suitable only for favourable environments. Six genotype CSIR-IHBT-PG-01, CSIR-IHBT-PG-02 CSIR-IHBT-PG-03 CSIR-IHBT-PG-04, CSIR-IHBT-PG-08 and Bourbon have showed above average mean performance, regression coefficient less than one (bi<1) and mean deviation equal to zero (sd=0), which revealed that these genotypes were considered best for adverse and stressful environment. Overall, genotype CSIR-IHBT-PG-05 has revealed superior and stable performance in different environment and it could be used as cultivars for commercial cultivation in Western Himalayan conditions.
Table 5: Stability parameters of biomass and essential oil by using Eberhart and Russell model.
Genotype | Biomass (g/plant) | Essential oil (%) | ||||||
Mean | bi | S2di | SR | Mean | bi | S2di | SR | |
CSIR-IHBT-PG-01 | 915.75 | 0.14 | 0.01 | U | 0.16 | 1.80 | 2.51 | F |
CSIR-IHBT-PG-02 | 846.79 | -0.07 | 0.05 | U | 0.14 | 2.56 | 1.83 | F |
CSIR-IHBT-PG-03 | 535.00 | -0.15 | 0.04 | U | 0.08 | -1.51 | 3.99 | U |
CSIR-IHBT-PG-04 | 1028.92 | -0.14 | 0.01 | U | 0.12 | -2.38 | 0.08 | U |
CSIR-IHBT-PG-05 | 1195.08 | 1.05 | 0.44 | S | 0.20 | 1.05 | 5.18 | S |
CSIR-IHBT-PG-06 | 712.54 | 5.18 | 0.64 | F | 0.06 | 7.43 | 116.17 | F |
CSIR-IHBT-PG-07 | 921.50 | 3.20 | 0.39 | F | 0.11 | 3.31 | 53.32 | F |
CSIR-IHBT-PG-08 | 856.63 | -0.29 | 0.12 | U | 0.16 | -0.70 | 7.88 | U |
Bourbon | 746.13 | 0.09 | 0.00 | U | 0.10 | -2.56 | 22.74 | U |
bi, regression coefficient; S2di deviation from regression; SR, stability responses (F: favourable environment; U: unsuitable for favourable environment; suitable for stressful environment and S, stable in multi environments)
It is clear from our study that genotype CSIR-IHBT-PG-05 will improve the biomass yield and essential oil content in geranium over different environments. Higher economic yield and adaptability will directly enhance the commercialization of geranium and will improve the economy of farmers. It will also enhance the livelihood of smallholder farmers which lead to greater benefits for future generations.
Abd El-Salam, M., El-Demardash, I. and Hussein, A. (2010). Phenotypic Stability Analysis, Heritability and Protein Patterns of Snake and Cucumber Genotypes. Journal of American Science, 6, 503–517.
Anonymous (1996). Imapact of Chemicals and Allied Products. Chemistry of Natural Compounds, 11, 237–280.
Bhaskaruni, R., Kakaraparthi, P., Eranki, V. and Srinivas, I. (1990). Variation in Yields and Quality of Geranium (Pelargonium graveolensl’ hér. ex aiton) Under Varied Climatic and Fertility Conditions. Journal of Essential Oil Research, 3, 73–79.
Eberhart, S. and Russell, W. (1966). Stability Parameters for Comparing Varieties. Crop Sciences, 6, 36–40.
El-tahawey, A. M., Amani, H., Harib, G. and El Sayed, A. (2020). Stability and Variability of the Herb and Volatile Oil Traits in Geranium (Pelargonium Graveolens). Horticultural Sciences, 9, 49–56.
Farukh, S., Zhang, H. and Setzer, W. (2014). Composition of Geranium (Pelargonium graveolens) Essential Oil from Tajikistan. American Journal of Essential Oils and Natural Products, 2, 13–16.
Gupta, A., Kumari, M., Sharan, H., Kumar, A., Vikrant, Chauhan, R., Kumar, A., Singh, S. and Singh, S. (2023). Multi-Environment Investigations using GGE Biplot and Regression Model for Higher Spike Yield and Essential Oil Content in Lavender (Lavandula angustifolia). Journal of Essential Oil Bearing Plants, 26(5), 1220–1235.
Hamouda, A., Abd-Elrazek, A., & Baiuomy, M. (2009). Clone Production from Pelargonium graveolens L Heritt Tolerant to Wilt Through Tissue Culture. Journal of Product and Development, 14(2), 339–356.
Harish, B. S., Singh, V. P., Vasant Kumar, T., C, V. and Sakhuba, H. T. (2018). Evaluation of Scented Geranium Accessions For Morphological and Yield Attributes in Southern Indian Conditions. International Journal of Agricultural Sciences, 14, 65-69.
Jain, N., Aggarwal, K. K., Syamasundar, K. V, Srivastava, S. K.. and Kumar, S. (2001). Essential Oil Composition of Geranium (Pelargonium sp.) from Plains of Northern India. Flavour and Fragrance Journal, 16, 44–46.
Kaul, P. and Rao, B. (1999). Quality Variation in the Essential Oils of Young and Old Leaves of Three Varieties of Rose-Scented Geranium (Pelargonium spp.). Fragrance and Flavour Association of India, 1, 35–37.
Lal, R. K., Gupta, P., Srivastva, S., Chanotiya, C. S., Mishra, A., Yadav, A. and Maurya, R. (2021). Delineating Photosynthesis, Essential Oil Yield Performance , and their Component Traits Under Genotype Traits Environments Interactions in Ocimum Genotypes. South African Journal of Botany, 141, 54–65.
Mondal, M., Fakir, M., Juraimi, A., Hakim, M., Islam, M. and Shamsuddaha, A. (2011). Effect of Flowering Behavior and Pod Maturity Synchrony on Yield of Mungbean (Vigna radiata L. Wilczek). Australian Journal of Crop Science, 5, 945–953.
Naragund, V. R. and Divakar, N. G. (1983). Varietal Evaluation in Scented Geranium (Pelargonium graveolens). Indian Perfumer, 27, 19–21.
Narayana, M., Prakasa Rao, E., Rao, B. and Sastry, K. (1986). Geranium Cultivation in India: Potentials and Prospects. Perumes and Flavour Association of India, 8, 25–30.
Panwar, N. S., Kumar, A., Malik, S. S., Dwivedi, V. K., Singh, P. B. and Kumar, G. (2011). Stability Analysis for Biomass and Essential Oil Yield in Basil (Ocimum basilicum) Germplasm. Indian Journal of plant genetic resources, 25, 180–182.
Pareek, S. K. and Maheshwari, M. L. (1990). Selection of Palmarosa Oil Grass Germplasm for Higher Yield and Quality. Indian Perfumer, 34, 5–13.
Patra, N., Khanuja, S., Shasaby, A., Singh, H., Singh, V., Tanveer, H., Kalra, A., Singh, H., Mengi, N., Tyagi, N. K., Naqui, A. and Kumar, S. (2000). Genetic Improvement of Cultivated Species of Cymbopogon and Mentha for Yield, Quality and Adaption. Journal of Medicinal & Aromatic Plant Sciences, 22, 263–277.
Ram, M., Ram, D., & Roy, S. K. (2003). Influence of an Organic Mulching on Fertilizer Nitrogen Use Efficiency and Herb and Essential Oil Yields in Geranium (Pelargonium graveolens). Bioresource Technology, 87, 273–278.
Rao, B. R. R. (2002). Biomass Yield, Essential Oil Yield and Essential Oil Composition of Rose—Scented Geranium (Pelargonium species) as Influenced by Row Spacings and Intercropping with mint (Mentha arvensis L.f. piperascens Malinv. Ex Holmes). Industrial Crops and Products, 16, 133–144.
Rao, B. R. R. (2015). Rose-Scented Geranium (Pelargonium species): Indian Perspective. Journal of Medicinal and Aromatic Plants, 21, 1–5.
Salamon, I. (2017). Growing Conditions and the Essential Oil of Chamomile , Chamomilla recutita ( L .) Rauschert. Journal of Herb Spices and Medicinal Plants, 2, 31-37.
Salgotra, K. S., Choudhary, H. K., Sharma, J. P., Kumar, A., Sandhu, R. and Gupta, R. (2020). Study on Genotype X Environment Interactions and AMMI Analysis For Agronomic Traits in Mungbean (Vigna radiata L. Wilczek .) Under Rainfed Conditions. Indian Journal of Genetics and Plant Breeding, 80, 354–358.
Saxena, G., Banerjee, S., Rahman, L., Sharma, S. and Kumar, S. (2000). An Efficient In-Vitro Procedure for Micropropagation and Generation of Somaclones of Rose-Scented Pelargonium. Plant Sciences, 155, 133–140.
Saxena, G. and Rahman, L. (2008). Field Performance of Somaclones of Rose Scented Geranium (Pelargonium graveolens) For Evaluation of their Essential Oil Yield and Composition. Industrial Crops and Products, 27, 86–90.
Shakya, P., Thakur, R., Sharan, H., Yadav, N., Kumar, M., Chauhan, R., Kumar, D., Kumar, A., Singh, S. and Singh, S. (2023). GGE Biplot and Regression Based Multi-Environment Investigations for Higher Yield and Essential Oil Content in German Chamomile (Matricaria chamomilla L.). Industrial Crops and Products, 193, 116-145.
Shawl, A., Kumar, T., Chishti, N. and Shabir, S. (2006). Cultivation of Rose Scented Geranium(Pelargonium sp.) as a cash crop in Kashmir valley. Asian Journal of Plant Sciences, 5, 673–675.
Sheoran, O., Tonk, D., Kaushik, L., Hasija, R. and Pannu, R. (1998). Statistical Software Package for Agricultural Research Workers. Recent Advances in information theory. In Statistics & Computer Applications by DS Hooda & RC Hasija Department of Mathematics Statistics CCS HAU Hisar, 139-143.
Romika Thakur, Ajay Kumar, Rahul Dev Gautam, Ramesh Chauhan, Ashok Kumar, Satbeer Singh and Sanatsujat Singh (2024). Stability Analysis for Biomass and Essential Oil Content of Rose Scented Geranium Mutant Lines under Western Himalayan Condition. Biological Forum – An International Journal, 16(5): 64-69.